The global proportion of enterprises having adopted AI stands at 35% currently, increasing 4pp from 2021, according to an online sample survey of 7,502 enterprises around the world undertaken during March 30-April 12, 2022 by Morning Consult commissioned by IBM.
China and India have the highest rates of 58% and 57% respectively for AI deployment, while the rates are 28% for Canada, 26% for the UK, 25% for the US and 22% for South Korea.
Of the surveyed enterprises, 28% have a holistic AI strategy in place, 25% focus only on limited or specific use cases, and 37% are developing an AI strategy.
In terms of cloud computing environment, 43% of the surveyed enterprises use private clouds, 32% hybrid or multiple clouds, 13% public clouds and 8% on-premises servers.
Although an increasing number of enterprises think trustworthiness of AI is important, a majority of them have not taken steps to ensure that their AI is trustworthy and responsible: 74% have not reduced unintended bias; 68% have not tracked performance variations and model shift; 61% have not made sure that they can explain AI-powered decisions; and 60% have not developed ethical AI policies.
For factors hindering successful AI adoption, limited AI skills, expertise or knowledge is regarded as a barrier by 34% of the surveyed enterprises; price too high (29%); lack of tools or platforms to develop models (25%); projects too complicated or difficult to integrate or scale (24%); and much data complexity (24%).
Of the surveyed enterprises, two-thirds are either executing or planning to use AI to address their sustainability goals.
Proportion of survey enterprises adopting AI by country | ||
Country | Have deployed AI | Exploring AI |
China | 58% | 30% |
India | 57% | 27% |
Italy | 42% | 41% |
Singapore | 39% | 46% |
UAE | 38% | 40% |
Germany | 34% | 44% |
Global average | 34% | 42% |
Source: IBM, compiled by DIGITIMES, July 2022
Top-10 factors that drive AI adoption | |
Factor | Proportion of surveyed enterprises |
Technological advancement in AI | 43% |
Need to reduce costs and automate key processes | 42% |
Increasing amount of AI embedded into standard off-the-shelf business applications | 37% |
Competitive pressure | 31% |
Demand due to COVID | 31% |
Pressure from customers | 25% |
Directives from leadership | 23% |
Labor or skill shortage | 22% |
Company culture | 22% |
Environmental pressure | 20% |
Source: IBM, compiled by DIGITIMES, July 2022
Top-5 purposes of using AI | |
Purpose | Proportion of surveyed enterprises |
Automation of IT processes | 33% |
Information security and threat detection | 29% |
Automation of business processes | 28% |
Business analytics or intelligence | 26% |
Marketing & sales | 26% |
Source: IBM, compiled by DIGITIMES, July 2022
