Artificial Intelligence Engineering Market Trends, Growth Opportunities, Future Demand and Forecast 2030

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Rapid adoption of automation in various sectors and increase in private investment for R&D of AI are some key factors driving market revenue growth

Emergen Research has recently published a novel report on global Artificial Intelligence Engineering Market based on current market dynamics along with in depth information about industry aspects, and emerging and existing market trends throughout the forecast period. The report offers a comprehensive assessment on market trends, market growth, drivers, restraints, growth opportunities and challenges.

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. In addition, rising demand for intelligent automation in different sectors is increasing demand for artificial intelligence engineering. These are some key factors expected to drive growth of the global market over the forecast period. 

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Top Companies Operating in the Artificial Intelligence Engineering Market and Profiled 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.

The report projects the market is anticipated to grow at a significant rate owing to raid advancements and technological developments in the sector. The report offers strategic recommendations to the businesses and investors to capitalize on the lucrative growth opportunities. The report further provides a comprehensive analysis of the competitive landscape and provides complete coverage with regard to company profiles, product portfolio, revenue generation, financial standing, and market position.

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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
  • Deployment Outlook (Revenue, USD Billion; 2018–2030)
    • On-cloud
    • On-premises

The latest report on the global Artificial Intelligence Engineering market offers strategic insights into the market landscape to stakeholders, investors, and business owners to help them make efficient and lucrative business decisions based on key statistical data and facts. The report aims to offers a thorough outlook of the Artificial Intelligence Engineering market based on various key elements, such as market drivers, limitations, threats, restraining factors, and growth prospects

To know more about the report, visit @ https://www.emergenresearch.com/industry-report/artificial-intelligence-engineering-market

Artificial Intelligence Engineering Market Segmentation by Regions:

  • 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)

Objectives of the Report:

  • Study of the global Artificial Intelligence Engineering market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)
  • Industrial structure analysis of the Artificial Intelligence Engineering market by identification of various sub-segments
  • Extensive analysis of key market players along with their SWOT analysis
  • Competitive landscape benchmarking
  • Analysis of Artificial Intelligence Engineering market based on growth trends, futuristic outlook, and contribution to the total growth of the market
  • Analysis of drivers, constraints, opportunities, challenges, and risks in the global Artificial Intelligence Engineering market
  • Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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