The report on the Global Artificial Intelligence Engineering Market is an investigative study on the key features of the business landscape along with an analysis of the growth opportunities, challenges, threats, drivers and restraints, and limitations of the market. The report also offers insights into the segments, sub-segments, and regions exhibiting promising growth.
Rapid adoption of automation in various sectors is expected to support market revenue growth during the forecast period. Moreover, increase in private investment for RD of AI is expected to boost market growth.Adoption of automation in various sectors involves integrating automation with various business operations and thereby reducing manual labor significantly. It also involves automation of data collection and preprocessing, which is another major factor driving growth of the global AI engineering market revenue.Furthermore, wide utility of artificial intelligence is leading to significant rise in private investment for the purpose of research development.
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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)
- Hardware
- Software
- Services
- 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)
- Healthcare
- Automotive Transportation
- Agriculture
- IT
- Business Management
- Manufacturing
- Others
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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