Impacts of data-driven AI in Business Sectors Richard Stevens, IDC ICT 2018, Vienna 5 December 2018

1. Evidence Based Big Data Benchmarking to Improve Business Performance
Impacts of data-driven AI in Business Sectors
5 December 2018, ICT 2018, Vienna
Richard Stevens, IDC

2. 12/17/2018 DataBench Project - GA Nr 780966 2
AI is mainly used, or being piloted, in large enterprises. Midsize enterprises will start to move
within two years.
Maturity of AI Adoption in Europe
 Among firms in Western Europe, 27% are already using or piloting AI tools, while 27% plan to
start using AI within the next two years.
 A large majority of large companies are using or piloting AI-enabled systems. In the next two
years, AI should be widely adopted or at least piloted by midsize enterprises as well.
We are using or
implementing
We plan to use
within 2 years
We are evaluating
the potential
AI adoption is rising fast across Europe

3. 12/17/2018 DataBench Project - GA Nr 780966 3
2017 2018 2019 2020 2021 2022 17–22 CAGR (%)
Banking 2,714.4 4,051.0 5,708.9 7,597.4 9,670.6 12,087 34.8%
Construction 280.8 414.1 601.9 840.1 1,077.4 1,335.6 36.6%
Discrete manufacturing 1,721.2 2,533.2 3,677.4 4,876.5 6,039.4 7,473.5 34.1%
Education 242.2 373.2 533.2 718.0 928.4 1,199.5 37.7%
Federal/central government 371.8 558.3 880.4 1,271.2 1,828.4 2,260.4 43.5%
Healthcare provider 1,272.4 1,850.4 2,780.0 3,832.7 4,963.1 6,098.2 36.8%
Insurance 517.7 782.9 1,087.1 1,452.9 1,846.3 2,559.2 37.7%
Media 294.3 442.0 695.3 971.5 1,289.2 1,604.5 40.4%
Personal and consumer services 254.0 409.1 652.9 918.5 1,237.3 1,597.7 44.5%
Process manufacturing 1,254.6 1,843.5 2,595.6 3,325.0 4,348.3 5,546.0 34.6%
Professional services 500.3 756.7 1,065.8 1,410.3 1,836.8 2,596.0 39.0%
Resource industries 250.6 383.3 603.1 842.9 1,128.1 1,414.1 41.3%
Retail 2,543.4 4,018.8 6,287.1 8,651.7 11,159 14,033 40.7%
Securities and investment services 803.5 1,307.4 1,925.7 2,586.1 3,473.3 4,506.7 41.2%
State/local government 527.1 775.7 1,155.4 1,537.8 2,054.8 2,774.5 39.4%
Telecommunications 1,052.5 1,481.2 2,022.6 2,606.6 3,343.9 4,150.7 31.6%
Transportation 567.0 851.9 1,241.9 1,663.1 2,140.3 2,688.4 36.5%
Utilities 397.3 584.6 859.6 1,180.5 1,519.9 1,914.0 37.0%
Wholesale 352.5 539.1 823.5 1,130.0 1,455.8 1,786.7 38.4%
Total 15,917 23,956 35,197 47,412 61,340 77,625 37.3%
Top vertical sectors by Spending, 2017: Artificial Intelligence Systems

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Top 4 industries investing in AI systems in 2018 by % of spend across W. Europe
Discrete
Manufacturing
Process
Manufacturing
13% 12%
Source: IDC Semiannual AI Systems Spending Guide, H2 2017
Projected CAGR 2018-2022
31%36% 42% 34%
Who’s using AI in Europe
RetailBanking
15% 14%

5. DataBench Project - GA Nr 780966 5
Source: IDC, Worldwide Artificial Intelligence Systems Spending 2018–2022 Forecast: Market Opportunity by Industry and Use Case, #US44430518
Top 10
Use
Cases by
Spending
2017
AI
Systems

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How We’re using AI in Europe

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How AI is driving Benchmarking in Analytics

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Linking technical and business benchmarks
ECONOMIC MARKET AND BUSINESS
ANALYSIS
EVALUATING BUSINESS
PERFORMANCE
Top-down
Bottom-up
USE CASES = Typologies of technology adoption in
specific application domains and/or business
processes
Benchmarking BD Analytics
Estimate the
potential economic
impact
Analyse benchmarking
needs and assess their
relative importance
Classify use cases by
industry
Economic and
industry analysis of BD
market
Analyze usage and
results data with
DataBench AI
Provide the specific
industrial benchmarks
to WP
Evaluation of business
performance
Data collection and
identification of use
cases

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