AI Market Maturity: Enterprise Survey of AI End Users and Vendors on Organizational Structure, Goals, Strategy, Data Privacy, Accountability, and COVID-19
|出版日期||內容資訊||英文 43 Pages; 39 Tables, Charts & Figures
|AI市場成熟:組織結構，目標，策略，資料隱私，課責，COVID-19相關AI終端用戶和供應商的企業調查 AI Market Maturity: Enterprise Survey of AI End Users and Vendors on Organizational Structure, Goals, Strategy, Data Privacy, Accountability, and COVID-19|
|出版日期: 2020年06月22日||內容資訊: 英文 43 Pages; 39 Tables, Charts & Figures||
By any stretch of the imagination, it is still early days for artificial intelligence (AI). That said, pioneering AI solutions providers and end-user companies have moved from proofs-of-concept to live deployments of AI solutions over the past few years. This Omdia survey examines the maturation of the market, with views of the AI structure and strategies of end-user and vendor companies.
The survey results suggest companies that have been AI pioneers fit the classic profile of early adopters. They are willing to risk money, time, and resources with the hope that potential returns will give them competitive advantages over companies that wait for a more developed market. While some industry sectors have more mature AI ecosystems than others, in a broad sense, the AI ecosystem reflects a market that is still in the early stages.
This Omdia survey provides the results of an online survey of 365 enterprises. The survey was sent to contact databases from Omdia, AI Summit, and AI Business. Surveyed companies across different vertical industries ranged in size from small startups with less than 100 employees to global companies with 10,000+ employees. Respondents were categorized as companies that were end users of AI solutions and capabilities and vendors that market AI solutions and capabilities. The survey treated the location of the respondent as the source country. Respondents had a broad range of job functions and titles, and the companies were using or exploring AI capabilities/services.