The Evolving Role of Artificial Intelligence Engineering Market Research: A Comprehensive Study

Sep19,2023

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 R&D of AI is expected to boost market growth.

The report also covers the scope of individual applications and types in each region. The report also covers details about production and consumption patterns, technological developments, revenue growth, market size, market share, key trends and demands influencing market growth in the region, and robust presence of key players in the region.

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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

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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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
      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

Radical Highlights of the Artificial Intelligence Engineering Market Report:

  • Comprehensive overview of the Artificial Intelligence Engineering market along with analysis of the changing dynamics of the market
  • Growth Assessment of various market segments throughout the forecast period
  • Regional and global analysis of the market players, including their market share and global position
  • Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
  • Impact of the technological developments and R&D advancements on the Artificial Intelligence Engineering market
  • Information about profit-making strategies and developmental strategies of major companies and manufacturers
  • Insightful information for the new entrants willing to enter the market
  • Details and insights about business expansion strategies, product launches, and other collaborations
  • The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis

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