Artificial Intelligence Engineering Market Size: Leading Players, Demands, Future Trends, Growth Factors, Strategy, Pric

Artificial Intelligence Engineering Market Size – USD 8.05 Billion in 2020, Market Growth – at a CAGR of 41.2%, Market Trend – Increasing demand for intelligent automation in various sectors

The Artificial Intelligence Engineering Market report offers an in-depth analysis of the market size, market share, and market growth and its estimation through the forecast years on the basis of the COVID-19 crisis. The report examines the recent COVID-19 crisis and its impact on the global market. The report explores the present and future impact of the pandemic and provides an insight into the post-pandemic market scenario.

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.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. 

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The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.

The key companies studied 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.

On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the RD sector.

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For this report, 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
      1. Supervised Learning
      2. Unsupervised Learning
      3. Reinforcement Learning
    • Natural Language Processing
      1. Speech Recognition
      2. Optical Character Recognition (OCR)
      3. Semantic Search
      4. Sentiment Analysis
    • Computer Vision
  • End-use Outlook (Revenue, USD Billion; 2018–2030)
    • Healthcare
    • Automotive Transportation
    • Agriculture
    • IT
    • Business Management
    • Manufacturing
    • Others

The report addresses the following key points:

  • The report estimates the expected market size from 2020-2027
  • The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence Engineering market
  • The report further analyses the changing market dynamics
  • Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
  • Extensive competitive landscape mapping with profiles of the key competitors
  • In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
  • Revenue forecast, country scope, application insights, and product insights

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Thank you for reading our report. For any specific details on customization of this report, please get in touch with us. We will ensure the report you get is well-suited to your needs.

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