The report offers a complete analysis of the global Artificial Intelligence Engineering market on a global and regional scale and offers a forecast for the market. The report provides extensive coverage of the market drivers, restraints, limitations, growth prospects, threats, opportunities, and current and emerging trends in the market. The report also offers an in-depth analysis of the market players along with their business overview, product portfolio, technological advancements, expansion plans, financial standing, and global position.
Furthermore, wide utility of artificial intelligence is leading to significant rise in private investment for the purpose of research development. Large enterprises are collaborating with universities in order to fund state-of-the-art research in AI technology. In addition, rising demand for intelligent automation in different sectors is increasing demand for artificial intelligence engineering. These are some key factors expected to drive growth of the global market over the forecast period.
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The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.
The key companies studied in the report are:
Google LLC, International Business Machines Corporation, Intel Corporation, Baidu, Inc., Oracle Corporation, Salesforce.com, Inc., Cisco Systems, Inc., Meta Platforms, Inc., Siemens AG, and Nvidia Corporation.
On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the RD sector.
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For this report, Emergen Research has segmented the global AI engineering market on the basis of solutions, technology, end-use, deployment, and region:
- Solutions Outlook (Revenue, USD Billion; 2018–2030)
- Technology Outlook (Revenue, USD Billion; 2018–2030)
- Deep Learning
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Natural Language Processing
- Speech Recognition
- Optical Character Recognition (OCR)
- Semantic Search
- Sentiment Analysis
- Computer Vision
- End-use Outlook (Revenue, USD Billion; 2018–2030)
- Automotive Transportation
- Business Management
- Deployment Outlook (Revenue, USD Billion; 2018–2030)
The report addresses the following key points:
- The report estimates the expected market size from 2020-2027
- The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence Engineering market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
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