Global Artificial Intelligence for Enterprise Applications 2016-2025: $31.2 Billion Market Analysis and Forecasts - 200 Use Cases for AI That are Classified Into 25 Industry Sectors - Research and Markets
DUBLIN, September 26, 2016 /PRNewswire/ --
Research and Markets has announced the addition of the "Artificial Intelligence for Enterprise Applications: Global Market Analysis and Forecasts" report to their offering.
The analysis has identified nearly 200 real-world enterprise use cases for AI that are classified into 25 industry sectors. The firm forecasts that revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%.
Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Machine Reasoning, and Strong AI
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.
This report 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. The study also includes detailed profiles of more than 30 key industry players.
Key Questions Addressed:
- What are the key use cases for AI within each industry sector?
- What business models are being utilized for the deployment of AI in enterprise environments?
- What are the key barriers to adoption of AI technologies?
- What is the mix of AI technologies likely to be during the next decade?
- Who are the key industry players in AI and what are their key areas of strategic focus?
- How will enterprise AI adoption vary across different world regions?
Key Topics Covered:
1. Executive Summary
2. Market Issues
3. Technology Issues
4. Key Industry Players
5. Market Forecasts
6. Recommendations and Conclusion
7. Company Directory
8. Acronym and Abbreviation List
9. Table of Contents
10. Table of Charts and Figures
11. Scope of Study, Sources and Methodology, Notes
Companies Mentioned
- AiCure
- Apple
- Baidu
- Bloomberg
- Cognitive Scale
- Continental AG
- Coursera
- DataMinr
- Declara
- Dstillery
- FinGenius
- IBM
- Intel
- Kabbage
- Knewton
- Lending Club
- Medtronic
- Microsoft
- Mobileye
- NEC
- NVIDIA
- Prism Skylabs
- Qualcomm
- Roche Holding AG
- Rocket Fuel
- Sailthru
- Salesforce
- Tesla Motors
For more information about this report visit http://www.researchandmarkets.com/research/sw9j4c/artificial
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