Activity grouping (except CNAE 56, 64-66 and 95.1)	Main variables	Size of the enterprise	Total
Total Enterprises	K.1 % of enterprises that analyzed Big Data	Total	8,81
Total Enterprises	K.1 % of enterprises that analyzed Big Data	From 10 to 49	7,55
Total Enterprises	K.1 % of enterprises that analyzed Big Data	From 50 to 249	13,29
Total Enterprises	K.1 % of enterprises that analyzed Big Data	250 or more	24,98
Total Enterprises	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	27,69
Total Enterprises	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	21,79
Total Enterprises	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	37,54
Total Enterprises	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	56,28
Total Enterprises	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	52,53
Total Enterprises	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	54,86
Total Enterprises	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	47,95
Total Enterprises	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	43,14
Total Enterprises	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	46,51
Total Enterprises	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	47,15
Total Enterprises	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	46,61
Total Enterprises	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	40,15
Total Enterprises	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	24,63
Total Enterprises	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	21,41
Total Enterprises	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	30,36
Total Enterprises	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	39,29
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	88,1
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	86,83
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	90,8
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	92,64
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	26,82
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	24,28
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	31,05
Total Enterprises	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	39,24
1. Total Industry (CNAE 10-39)	K.1 % of enterprises that analyzed Big Data	Total	5,75
1. Total Industry (CNAE 10-39)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	4,28
1. Total Industry (CNAE 10-39)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	9,94
1. Total Industry (CNAE 10-39)	K.1 % of enterprises that analyzed Big Data	250 or more	21,86
1. Total Industry (CNAE 10-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	41,61
1. Total Industry (CNAE 10-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	32,16
1. Total Industry (CNAE 10-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	51,39
1. Total Industry (CNAE 10-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	66,56
1. Total Industry (CNAE 10-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	49,01
1. Total Industry (CNAE 10-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	58,02
1. Total Industry (CNAE 10-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	36,33
1. Total Industry (CNAE 10-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	33,3
1. Total Industry (CNAE 10-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	45,78
1. Total Industry (CNAE 10-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	52,02
1. Total Industry (CNAE 10-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	39,06
1. Total Industry (CNAE 10-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	29,92
1. Total Industry (CNAE 10-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	15,82
1. Total Industry (CNAE 10-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	12,51
1. Total Industry (CNAE 10-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	18,14
1. Total Industry (CNAE 10-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	27,26
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	88,43
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	87,34
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	89,54
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	91,37
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	23,39
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	18,47
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	27,23
1. Total Industry (CNAE 10-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	39,4
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1 % of enterprises that analyzed Big Data	Total	4,84
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	3,65
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	9,58
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1 % of enterprises that analyzed Big Data	250 or more	18,62
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	23,07
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	7,68
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	44,99
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	62,94
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	61,94
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	77,16
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	35,37
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	38,42
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	59,44
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	60,72
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	61,48
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	43,64
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	5,64
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	1,65
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	10,45
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	18,83
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	87,99
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	88,52
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	86,62
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	88,66
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	18,76
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	11,48
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	28,22
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	40,52
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1 % of enterprises that analyzed Big Data	Total	7,29
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	5,85
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	10,29
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1 % of enterprises that analyzed Big Data	250 or more	17,31
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	38,18
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	30,04
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	51,31
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	47,01
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	33,11
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	40,04
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	23,38
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	21,27
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	39,18
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	40,64
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	36,88
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	37,43
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	10,05
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	5,28
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	15,84
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	20,9
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	90,68
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	94,54
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	83,03
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	90,68
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	24,77
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	14,88
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	42,41
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	30,59
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1 % of enterprises that analyzed Big Data	Total	2,57
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	1,29
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	8,09
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1 % of enterprises that analyzed Big Data	250 or more	22,02
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	57,12
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	60,74
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	50,72
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	64,62
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	22,67
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	39,26
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	8,37
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	15,51
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	27,97
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	39,26
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	23,13
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	9,54
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	13,11
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	0
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	22,08
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	25,24
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	80,81
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	60,74
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	98,27
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89,05
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	31,35
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	39,26
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	21,76
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	35,61
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1 % of enterprises that analyzed Big Data	Total	6,58
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	5,69
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	8,32
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1 % of enterprises that analyzed Big Data	250 or more	16,84
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	51,18
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	46,38
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	58,41
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	68,28
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	44,73
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	49,85
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	39,38
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	21,14
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	55,77
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	65,78
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	36,46
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	29,7
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	32,66
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	33,99
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	26,86
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	36,57
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	87,63
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	84,31
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	95,74
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	92,46
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	22,33
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	20,94
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	18,45
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	40,8
1.5. Energy and water (CNAE 35-39)	K.1 % of enterprises that analyzed Big Data	Total	14,8
1.5. Energy and water (CNAE 35-39)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	10,02
1.5. Energy and water (CNAE 35-39)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	20,04
1.5. Energy and water (CNAE 35-39)	K.1 % of enterprises that analyzed Big Data	250 or more	50,11
1.5. Energy and water (CNAE 35-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	62,1
1.5. Energy and water (CNAE 35-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	56,76
1.5. Energy and water (CNAE 35-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	56,37
1.5. Energy and water (CNAE 35-39)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	81,24
1.5. Energy and water (CNAE 35-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	63,73
1.5. Energy and water (CNAE 35-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	61,71
1.5. Energy and water (CNAE 35-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	75,35
1.5. Energy and water (CNAE 35-39)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	53,05
1.5. Energy and water (CNAE 35-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	14,53
1.5. Energy and water (CNAE 35-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	15,16
1.5. Energy and water (CNAE 35-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	8,53
1.5. Energy and water (CNAE 35-39)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	20,96
1.5. Energy and water (CNAE 35-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	16,85
1.5. Energy and water (CNAE 35-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	6,42
1.5. Energy and water (CNAE 35-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	22,88
1.5. Energy and water (CNAE 35-39)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	31,88
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	92,24
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	93,16
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	89,16
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	94,23
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	29,69
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	28,37
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	20,77
1.5. Energy and water (CNAE 35-39)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	44,15
2. Total Construction (CNAE 41-43)	K.1 % of enterprises that analyzed Big Data	Total	6,51
2. Total Construction (CNAE 41-43)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	6,39
2. Total Construction (CNAE 41-43)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	7,36
2. Total Construction (CNAE 41-43)	K.1 % of enterprises that analyzed Big Data	250 or more	14,22
2. Total Construction (CNAE 41-43)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	20,11
2. Total Construction (CNAE 41-43)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	16
2. Total Construction (CNAE 41-43)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	59,06
2. Total Construction (CNAE 41-43)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	65,56
2. Total Construction (CNAE 41-43)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	76,29
2. Total Construction (CNAE 41-43)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	78,68
2. Total Construction (CNAE 41-43)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	49,97
2. Total Construction (CNAE 41-43)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	66,42
2. Total Construction (CNAE 41-43)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	28,69
2. Total Construction (CNAE 41-43)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	31,08
2. Total Construction (CNAE 41-43)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	4,46
2. Total Construction (CNAE 41-43)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	9,85
2. Total Construction (CNAE 41-43)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	14,95
2. Total Construction (CNAE 41-43)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	15,08
2. Total Construction (CNAE 41-43)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	14,49
2. Total Construction (CNAE 41-43)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	9,85
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	85,96
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	85,7
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	89,3
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	84,84
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	18,65
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	18,89
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	16,53
2. Total Construction (CNAE 41-43)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	15,16
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1 % of enterprises that analyzed Big Data	Total	10,67
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	9,24
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	15,6
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1 % of enterprises that analyzed Big Data	250 or more	27,06
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	25,37
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	20,69
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	32,03
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	52,09
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	50,21
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	50,22
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	51,61
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	46,17
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	49,06
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	48,88
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	51,09
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	44,96
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	28,02
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	24,26
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	35,07
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	44,76
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	88,3
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	86,92
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	91,28
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	93,36
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	28,73
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	26,35
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	32,99
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	39,91
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1 % of enterprises that analyzed Big Data	Total	7,51
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	6,74
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	9,83
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1 % of enterprises that analyzed Big Data	250 or more	28,06
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	19,26
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	15,59
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	22,07
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	53,25
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	41,97
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	40,89
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	52,87
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	29,8
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	51,36
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	51,05
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	57,02
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	42,27
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21,94
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	18,32
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	30,1
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	43,68
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	84,61
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	82,91
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	89,49
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	92,47
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	30,1
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	29,52
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	27,8
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	41,47
3.2. Transport and storage (CNAE 49-53)	K.1 % of enterprises that analyzed Big Data	Total	17,56
3.2. Transport and storage (CNAE 49-53)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	15,64
3.2. Transport and storage (CNAE 49-53)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	24,69
3.2. Transport and storage (CNAE 49-53)	K.1 % of enterprises that analyzed Big Data	250 or more	38,96
3.2. Transport and storage (CNAE 49-53)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	23,02
3.2. Transport and storage (CNAE 49-53)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	18,35
3.2. Transport and storage (CNAE 49-53)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	29,58
3.2. Transport and storage (CNAE 49-53)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	61,59
3.2. Transport and storage (CNAE 49-53)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	89,5
3.2. Transport and storage (CNAE 49-53)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	91,69
3.2. Transport and storage (CNAE 49-53)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	87,23
3.2. Transport and storage (CNAE 49-53)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	68,13
3.2. Transport and storage (CNAE 49-53)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	10,56
3.2. Transport and storage (CNAE 49-53)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	10,02
3.2. Transport and storage (CNAE 49-53)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	12,04
3.2. Transport and storage (CNAE 49-53)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	12,2
3.2. Transport and storage (CNAE 49-53)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	10,59
3.2. Transport and storage (CNAE 49-53)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	9,86
3.2. Transport and storage (CNAE 49-53)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	8,79
3.2. Transport and storage (CNAE 49-53)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	27,97
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	87,3
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	85,52
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	92,6
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	90,7
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	24,19
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	23,06
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	26,58
3.2. Transport and storage (CNAE 49-53)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	30,27
3.3. Accommodation services (CNAE 55)	K.1 % of enterprises that analyzed Big Data	Total	15,57
3.3. Accommodation services (CNAE 55)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	13,86
3.3. Accommodation services (CNAE 55)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	21,11
3.3. Accommodation services (CNAE 55)	K.1 % of enterprises that analyzed Big Data	250 or more	23,79
3.3. Accommodation services (CNAE 55)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	19,75
3.3. Accommodation services (CNAE 55)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	14,61
3.3. Accommodation services (CNAE 55)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	29,54
3.3. Accommodation services (CNAE 55)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	41,48
3.3. Accommodation services (CNAE 55)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	21,25
3.3. Accommodation services (CNAE 55)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	23,85
3.3. Accommodation services (CNAE 55)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	15,26
3.3. Accommodation services (CNAE 55)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	16,49
3.3. Accommodation services (CNAE 55)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	76,86
3.3. Accommodation services (CNAE 55)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	78,64
3.3. Accommodation services (CNAE 55)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	75,53
3.3. Accommodation services (CNAE 55)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	56,82
3.3. Accommodation services (CNAE 55)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	31,07
3.3. Accommodation services (CNAE 55)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	27,35
3.3. Accommodation services (CNAE 55)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	40,49
3.3. Accommodation services (CNAE 55)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	32,82
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	83,77
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	81,09
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	90,09
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	87,7
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	35,89
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	27,89
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	53
3.3. Accommodation services (CNAE 55)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	58,31
3.4. Information and communications (CNAE 58-63)	K.1 % of enterprises that analyzed Big Data	Total	26,18
3.4. Information and communications (CNAE 58-63)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	23,43
3.4. Information and communications (CNAE 58-63)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	32,98
3.4. Information and communications (CNAE 58-63)	K.1 % of enterprises that analyzed Big Data	250 or more	44,19
3.4. Information and communications (CNAE 58-63)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	37,93
3.4. Information and communications (CNAE 58-63)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	33,42
3.4. Information and communications (CNAE 58-63)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	43,28
3.4. Information and communications (CNAE 58-63)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	61,31
3.4. Information and communications (CNAE 58-63)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	45,02
3.4. Information and communications (CNAE 58-63)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	45,42
3.4. Information and communications (CNAE 58-63)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	41,31
3.4. Information and communications (CNAE 58-63)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	52,75
3.4. Information and communications (CNAE 58-63)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	70,97
3.4. Information and communications (CNAE 58-63)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	71,93
3.4. Information and communications (CNAE 58-63)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	69,62
3.4. Information and communications (CNAE 58-63)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	66,71
3.4. Information and communications (CNAE 58-63)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	46,02
3.4. Information and communications (CNAE 58-63)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	43,11
3.4. Information and communications (CNAE 58-63)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	48,7
3.4. Information and communications (CNAE 58-63)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	63,5
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	95,38
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	95,32
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	94,39
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	98,87
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	26,97
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	19,45
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	41,95
3.4. Information and communications (CNAE 58-63)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	47,63
3.5. Real estate activities (CNAE 68)	K.1 % of enterprises that analyzed Big Data	Total	6,21
3.5. Real estate activities (CNAE 68)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	4,12
3.5. Real estate activities (CNAE 68)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	24,05
3.5. Real estate activities (CNAE 68)	K.1 % of enterprises that analyzed Big Data	250 or more	41,19
3.5. Real estate activities (CNAE 68)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	12,16
3.5. Real estate activities (CNAE 68)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	4,8
3.5. Real estate activities (CNAE 68)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	26,46
3.5. Real estate activities (CNAE 68)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	14,28
3.5. Real estate activities (CNAE 68)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	23,1
3.5. Real estate activities (CNAE 68)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	12,9
3.5. Real estate activities (CNAE 68)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	21,82
3.5. Real estate activities (CNAE 68)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	87,02
3.5. Real estate activities (CNAE 68)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	88,25
3.5. Real estate activities (CNAE 68)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	95,2
3.5. Real estate activities (CNAE 68)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	78,99
3.5. Real estate activities (CNAE 68)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	74,04
3.5. Real estate activities (CNAE 68)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	23,87
3.5. Real estate activities (CNAE 68)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	8,1
3.5. Real estate activities (CNAE 68)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	54,9
3.5. Real estate activities (CNAE 68)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	27,25
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	54,16
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	28,81
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	94,55
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	87,02
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	63,84
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	79,29
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	40,46
3.5. Real estate activities (CNAE 68)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	40,23
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1 % of enterprises that analyzed Big Data	Total	11,1
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	9,32
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	17,26
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1 % of enterprises that analyzed Big Data	250 or more	33,35
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	31,15
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	25,71
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	41,38
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	50,15
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	33,82
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	31,43
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	35,93
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	48,36
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	54
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	52,95
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	58,73
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	50,49
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	51,35
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	47,1
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	65,13
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	51,19
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	95,17
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	94,58
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	97,16
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	94,93
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	20,48
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	17,21
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	26,32
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	32,67
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1 % of enterprises that analyzed Big Data	Total	5,56
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	4,28
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	8,37
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1 % of enterprises that analyzed Big Data	250 or more	13,58
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	28,17
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	24,6
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	29,98
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	39,36
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	51,61
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	48,9
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	57,05
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	52,6
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	56,57
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	63,18
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	47,23
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	46,84
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	17,74
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	8,28
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	25,42
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	42,09
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	88,37
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	91,63
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	78,88
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	92,59
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	42,22
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	48,21
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	30,25
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	39,83
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1 % of enterprises that analyzed Big Data	Total	25,18
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1 % of enterprises that analyzed Big Data	From 10 to 49	24,19
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1 % of enterprises that analyzed Big Data	From 50 to 249	25,13
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1 % of enterprises that analyzed Big Data	250 or more	40,75
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	37,96
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	31,21
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	51,51
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	66,07
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	44,38
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	42,98
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	46,23
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	52,59
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	65,8
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	68,86
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	56,96
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	59,82
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	43,76
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	40,05
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	52,14
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	56,8
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	95,12
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	95,15
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	93,51
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	98,83
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	32,45
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	30,5
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	36,39
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	K.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	40,52