Early Enterprise Adopters of Artificial Intelligence Will Include the Business Services, Advertising, Media & Entertainment, and Finance & Investment Sectors

Artificial Intelligence for Enterprise Applications Market to Reach $31.2 Billion by 2025, Driven Primarily by Deep Learning Technologies

Artificial intelligence (AI) technologies are quickly gaining mindshare among corporate executives around the world, driving a proliferation of use cases that touch virtually every industry.  AI technologies, which include deep learning, machine learning, natural language processing (NLP), and computer vision, among others, are designed to endow computers with human-like faculties such as hearing, seeing, reasoning, and learning.  But AI enables computers to do some things better than humans, especially when it comes to processing very large amounts of data quickly, efficiently, and accurately.

Investment is flowing rapidly into the development of AI technologies, both at the startup level as well as within some of the world’s leading technology companies.  Meanwhile, innovation in AI algorithms is progressing at a breakneck pace and industry players are scrambling to determine the optimal platforms to deliver AI-enabled services on a cost-effective basis across an ever-expanding set of use cases.

A new report from Tractica has identified nearly 200 real-world enterprise use cases for AI that are classified into 25 industry sectors.  The market intelligence firm forecasts that revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025.

Tractica anticipates that the top 10 industry sectors for enterprise AI adoption will be as follows:

  1. Business Services
  2. Advertising
  3. Media & Entertainment
  4. Investment
  5. Finance
  6. Healthcare
  7. Manufacturing
  8. Agriculture
  9. Legal
  10. Education

Tractica’s report, “Artificial Intelligence for Enterprise Applications”, provides an in-depth analysis of the market dynamics surrounding the growth of artificial intelligence for enterprise markets including an assessment of market drivers and challenges, business models, use cases, technology issues, and the competitive landscape.  Technologies covered by the study include machine learning, deep learning, natural language processing, computer vision, machine reasoning, and strong AI.  Market sizing and revenue forecasts cover the period from 2016 through 2025 and are segmented by six technology areas, five world regions, and 25 industry sectors.  The study also includes detailed profiles of more than 30 key industry players.  An Executive Summary of the report is available for free download on the firm’s website.

Comments are closed.