The Global Artificial Intelligence Engineering Market Report, published by Emergen Research, offers an industry-wide assessment of the Artificial Intelligence Engineering Market, which is inclusive of the most crucial factors contributing to the growth of the industry. The latest research report comprises an extensive analysis of the micro- and macro-economic indicators that influence the global market development during the forecast period of 2022-2030.
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. 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.
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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. 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.
Key Parameters Analyzed in This Section:
Company Profiles
Gross Revenue
Profit margins
Product sales trends
Product pricing
Industry Analysis
Sales distribution channels
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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.
Key participants include 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.
What Questions Should You Ask before Buying a Market Research Report?
How is the Artificial Intelligence Engineering-market evolving?
What is driving and restraining the Artificial Intelligence Engineering market?
How will each Artificial Intelligence Engineering submarket segment grow over the forecast period and how much revenue will these submarkets account for in 2028?
How will the market shares for each Artificial Intelligence Engineering submarket develop from 2022 to 2030?
What will be the main driver for the overall market from 2022 to 2030?
Will leading Artificial Intelligence Engineering markets broadly follow the macroeconomic dynamics, or will individual national markets outperform others?
How will the market shares of the national markets change by 2030 and which geographical region will lead the market in 2030?
Who are the leading players and what are their prospects over the forecast period?
What are the Artificial Intelligence Engineering projects for these leading companies?
How will the industry evolve during the period between 2020 and 2030? What are the implications of Artificial Intelligence Engineering projects taking place now and over the next 10 years?
Is there a greater need for product commercialisation to further scale the Artificial Intelligence Engineering market?
Where is the Artificial Intelligence Engineering-market heading and how can you ensure you are at the forefront of the market?
What are the best investment options for new product and service lines?
What are the key prospects for moving companies into a new growth path and C-suite?
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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
- Deployment Outlook (Revenue, USD Billion; 2018–2030)
- On-cloud
- On-premises
Additional information offered by the report:
Along with a complete overview of the global Artificial Intelligence Engineering market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
The report elaborates on the global Artificial Intelligence Engineering market size and share governed by the major geographies.
It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
It further presents a detailed description of the company profiles of the key market contenders.
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