The new report titled ‘Global Artificial Intelligence Engineering Market’, published by Emergen Research, is methodically curated by our team of analysts, keeping readers’ understanding in mind, and includes a wide-ranging database of industry distribution. The report takes a closer look at the historical and current market scenarios to accurately predict the global Artificial Intelligence Engineering Market outlook over the forecast duration (2022-2030). Researchers have taken a holistic approach towards the global market analysis and highlighted the factors that influence the overall growth of the market.
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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.
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.
The report offers a complete analysis of the global Artificial Intelligence Engineering market on a global and regional scale and offers a forecast for the market for 8 years. The report provides extensive coverage of the market drivers, restraints, limitations, growth prospects, threats, opportunities, and current and emerging trends in the market. The report also offers an in-depth analysis of the market players along with their business overview, product portfolio, technological advancements, expansion plans, financial standing, and global position. It also sheds light on the collaborations in the competitive landscape, such as mergers and acquisitions, joint ventures, collaborations, product launches, brand promotions, corporate and government deals, licensing agreements, and others.
Major Companies in the Market 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.
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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.
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
Regional Landscape section of the Artificial Intelligence Engineering report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.
The various regions analyzed in the report include:
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)
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The report covers the analysis of the factors anticipated to drive the Global Artificial Intelligence Engineering Market growth over the forecast period of 2022-2030. The report is an all-inclusive document covering the market landscape and a futuristic perspective on its growth and progress. The report also provides an analysis of the entry-level driving and restraining factors for the new entrants contributing to the market. The report considers 2020 as the base year and 2019-2020 as the historical years. It puts examines the drivers and restraints of the Artificial Intelligence Engineering market and analyzes their impact on the industry throughout the forecast period.
Market Taxonomy:
Chapter 1: Methodology Scope
- Definition and forecast parameters
- Methodology and forecast parameters
- Data Sources
Chapter 2:
Executive Summary
- Business trends
- Regional trends
- Product trends
- End-use trends
Chapter 3:
Industry Insights
- Industry segmentation
- Industry landscape
- Vendor matrix
- Technological and innovation landscape
Chapter 4:
Regional Landscape
Chapter 5:
Company Profile
- Business Overview
- Financial Data
- Product Landscape
- Strategic Outlook
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