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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 R&D 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.
Report Objective:
The report offers a complete analysis of the global Artificial Intelligence Engineering market with details about each market player including company profile, financial standing, global position, revenue contribution, production and manufacturing capacity, business expansion plans, and new product launches. Key players are strategizing various plans such as 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. and others are some of the top companies profiled in the report.
Key Companies Profiled in the Report:
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Segmental Analysis
The global Artificial Intelligence Engineering market is broadly segmented on the basis of different product types, application range, end-use industries, key regions, and an intensely competitive landscape. This section of the report is solely targeted at readers looking to select the most appropriate and lucrative segments of the Artificial Intelligence Engineering sector in a strategic manner. The segmental analysis also helps companies interested in this sector make optimal business decisions and achieve their desired goals.
Emergen Research has segmented the global AI engineering market on the basis of solutions, technology, end-use, deployment, and region:
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Solutions Outlook (Revenue, USD Billion; 2018–2030)
- Hardware
- Software
- Services
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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
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End-use Outlook (Revenue, USD Billion; 2018–2030)
- Healthcare
- Automotive & Transportation
- Agriculture
- IT
- Business Management
- Manufacturing
- Others
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Deployment Outlook (Revenue, USD Billion; 2018–2030)
- On-cloud
- On-premises
Key reasons to buy the Global Artificial Intelligence Engineering Market report:
The latest report comprehensively studies the global Artificial Intelligence Engineering market size and provides useful inference on numerous aspects of the market, such as the current business trends, market share, product offerings, and product share.
The report offers an insightful analysis of the regional outlook of the market.
It offers a detailed account of the end-use applications of the products services offered by this industry.
The report holistically covers the latest developments taking place in this industry. Therefore, it lists the most effective business strategies implemented by the market rivals for ideal business expansion.
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Regional Analysis Covers:
North America (US, Canada)
Europe (UK, 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, UAE, South Africa, Rest of MEA)
Table of Contents:
Chapter 1 includes an introduction of the global Artificial Intelligence Engineering market, along with a comprehensive market overview, market scope, product offerings, and an investigation of the market drivers, growth opportunities, risks, restraints, and other vital factors.
Chapter 2 offers an in-depth analysis of the key manufacturers engaged in this business vertical, along with their sales and revenue estimations.
Chapter 3 elaborates on the highly competitive terrain of the market, highlighting the key manufacturers and vendors.
In Chapter 4, our team has fragmented the market on the basis of regions, underscoring the sales, revenue, and market share of each region over the forecast timeline.
Chapters 5 and 6 have laid emphasis on the market segmentation based on product type and application.
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