Iter_gluehwein_B_Duraku - cdeck3r/IoTbyNumb3rs GitHub Wiki
- Manufacturing 11%
- Transport and logistics 12%
- Healthcare and pharma -
- Consumer electronics 11%
- Retail 10%
- Automotive 19%
- Energy and utilities 13%
- Manufacturing 20%
- Transport and logistics 17%
- Healthcare and pharma 19%
- Consumer electronics 29%
- Retail 17%
- Automotive 28%
- Energy and utilities 28%
- Manufacturing 17%
- Transport and logistics 19%
- Healthcare and pharma 28%
- Consumer electronics 29%
- Retail 32%
- Automotive 32%
- Energy and utilities 37%
- Manufacturing 15% 285 Mrd
- Healthcare Providers 15% 285 Mrd
- Insurance 11% 209 Mrd
- Banking and Securities 10% 190 Mrd
- Retail and Wholesale 8% 152 Mrd
- computing Services 8% 152 Mrd
- Government7% 133 Mrd
- Transportation 6% 114 Mrd
- Utilities 5% 95 Mrd
- Real Estate and Business Services 4% 76 Mrd
- Agriculture 4% 76 Mrd
- other 3% 57 Mrd
Urheberquelle: Gartner
- Human 0,2-1,6 T
- Home 0,2 -0,3 T
- Retail environments 0,4-1,2
- Offices 0,1-0,2
- factories 1,2 -3,7
- Worksites 0,2-0,9
- Vehicles 0,2-0,7
- Cities 0,9 -1,7
- Outside 0,6 -0,9
Urheberquelle: McKinsey Global Institute analysis
- Ursprung der Zahlen?
- Vergleich der Urquellen?
- Veränderung der Werte über die Jahre?
- Welcher IoT Sektor bringt den meisten Gewinn?
- Welcher IoT Sektor wächst am schnellsten?
- Welche Autorengruppe hat die größte Streuung der Werte?