The global Artificial Intelligence (AI) engineering market size reached USD 8.05 Billion in 2020 and is expected to register a revenue CAGR of 41.2% during the forecast period, according to latest analysis by Emergen Research. Rapid adoption of automation in various sectors is expected to support market revenue growth during the forecast period. Moreover, increase in private investment for R&D of AI is expected to boost market growth.
The Artificial Intelligence Engineering market investigation report assesses the global market for the Artificial Intelligence Engineering industry and provides revenue and capability forecasts for the projected period. The factors that drive the industry’s growth are highlighted in the report. The report divides the Artificial Intelligence Engineering market into main categories such as forms, applications, end-users, technology, and others for a better understanding. These segments are thoroughly examined in order to provide a more accurate outlook for the global and regional markets.
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Competitive Terrain:
The global Artificial Intelligence Engineering industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
The leading market contenders listed 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
Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global Artificial Intelligence Engineering market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Competitive Outlook: The leading companies operating in the Artificial Intelligence Engineering market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Artificial Intelligence Engineering market.
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Market Segmentations of the Artificial Intelligence Engineering Market
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2022 and 2030. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Artificial Intelligence Engineering market on the basis of product, application, and region:
Segments Covered in this report are:
- 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
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Major Geographies Analyzed in the Report:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
ToC of the report:
Chapter 1: Market overview and scope
Chapter 2: Market outlook
Chapter 3: Impact analysis of COVID-19 pandemic
Chapter 4: Competitive Landscape
Chapter 5: Drivers, Constraints, Opportunities, Limitations
Chapter 6: Key manufacturers of the industry
Chapter 7: Regional analysis
Chapter 8: Market segmentation based on type applications
Chapter 9: Current and Future Trends
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