Artificial Intelligence Engineering Market Overview: Size, Growth, and Competitive Landscape

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 global Artificial Intelligence Engineering market is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector.  The global Artificial Intelligence Engineering market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers & acquisitions, new product launches, and joint ventures.

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The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.

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

Research Report on the Artificial Intelligence Engineering Market Addresses the Following Key Questions:

• Who are the dominant players of the Artificial Intelligence Engineering market?
• Which regional market is anticipated to have a high growth rate over the projected period?
• What consumer trends and demands are expected to influence the operations of the market players in the Artificial Intelligence Engineering market?
• What are the key growth drivers and restraining factors of the Artificial Intelligence Engineering market?
• What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
• What is the overall impact of the COVID-19 pandemic on the Artificial Intelligence Engineering market and its key segments?

Browse Full Report Description + Research Methodology + Table of Content + Infographics@ https://www.emergenresearch.com/industry-report/artificial-intelligence-engineering-market

Emergen Research has segmented the global Artificial Intelligence Engineering market on the basis of type, type of care, and region

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

In conclusion, the Artificial Intelligence Engineering Market report is an exhaustive database that will help readers formulate lucrative strategies. The Artificial Intelligence Engineering Market report studies the latest economic scenario with value, drivers, constraints, growth opportunities, challenges, demand and supply ratio, production capacity, import/export status, growth rate, and others. Additionally, the report also undertakes SWOT Analysis and Porter’s Five Forces Analysis to study the leading companies.

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