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 Research Report added by Emergen Research to its expanding repository is an all-inclusive document containing insightful data about the Artificial Intelligence Engineering market and its key elements. The report is formulated through extensive primary and secondary research and is curated with an intent to offer the readers and businesses a competitive edge over other players in the industry.

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Competitive Terrain:

The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Artificial Intelligence Engineering market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.

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

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Emergen Research has segmented the global Artificial Intelligence Engineering market on the basis of type, application, end-use, 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 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)

Key Objectives of the Report:

• Analysis and estimation of the Artificial Intelligence Engineering Market size and share for the projected period of 2022-2030
• Extensive analysis of the key players of the market by SWOT analysis and Porter’s Five Forces analysis to impart a clear understanding of the competitive landscape
• Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global Artificial Intelligence Engineering Market
• Analysis of the growth prospects for the stakeholders and investors through the study of the promising segments
• Strategic recommendations to the established players and new entrants to capitalize on the emerging growth opportunities

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