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 RD of AI is expected to boost market growth.
The global Artificial Intelligence Engineering market report covers the analysis of drivers, trends, limitations, restraints, and challenges arising in the Artificial Intelligence Engineering market. The report also discusses the impact of various other market factors affecting the growth of the market across various segments and regions. The report segments the market on the basis of types, applications, and regions to impart a better understanding of the Artificial Intelligence Engineering market.
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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
The research study examines historic data from 2018 and 2020 to draw forecasts until 2028. The timeline makes the report an invaluable resource for readers, investors, and stakeholders looking for key insights in readily accessible documents with the information presented in the form of tables, charts, and graphs.
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Market Overview:
The report bifurcates the Artificial Intelligence Engineering Market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
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
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
Regional Analysis Covers:
- 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)
Key Points Covered in This Section:
- Regional contribution
- Estimated revenue generation
- Vital data and information about the consumption rate in all the leading regional segments
- An expected rise in market share
- Forecast growth in the overall consumption rate
Key Objectives of the Report:
- Analysis and estimation of the Artificial Intelligence Engineering Market size and share for the projected period of 2020-2027
- Extensive analysis of the key players of the market by SWOT analysis and Porter’s Five Forces analysis to impart a clear understanding of the competitive landscape
- Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global Artificial Intelligence Engineering Market
- Analysis of the growth prospects for the stakeholders and investors through the study of the promising segments
- Strategic recommendations to the established players and new entrants to capitalize on the emerging growth opportunities
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