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Global AI in Energy Management Market 2019-2025

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Table of Contents

    1. Report Summary

    • 1.1. Research Methods and Tools
    • 1.2. Market Breakdown
    • 1.2.1. By Segments
  • 1.2.2. By Geography
  • 1.2.3. By Stakeholders

    • 2. Market Overview and Insights

    • 2.1. Scope of the Report
    • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
  • 2.2.2. Recommendations
  • 2.2.3. Conclusion
  • 2.3. Rules & Regulations

    • 3. Competitive Landscape

    • 3.1. Company Share Analysis
    • 3.2. Key Strategy Analysis
    • 3.3. Key Company Analysis
    • 3.3.1. Overview
  • 3.3.2. Financial Analysis
  • 3.3.3. Swot Analysis
  • 3.3.4. Recent Developments

    • 4. Market Determinants

    • 4.1. Motivators
    • 4.2. Restraints
    • 4.3. Opportunities

    5. Market Segmentation

    • 5.1. Global AI in Energy Management Market by Deployment Type
    • 5.1.1. Cloud
  • 5.1.2. On-Premises
  • 5.2. Global AI in Energy Management Market by Application
  • 5.2.1. Renewable Management
  • 5.2.2. Demand Management
  • 5.2.3. Infrastructure Management
  • 5.3. Global AI in Energy Management Market by End-User
  • 5.3.1. Manufacturing
  • 5.3.2. Educational Facilities
  • 5.3.3. Healthcare
  • 5.3.4. Others (Enterprises)

    • 6. Regional Analysis

    • 6.1. North America
    • 6.1.1. United States
  • 6.1.2. Canada
  • 6.2. Europe
  • 6.2.1. UK
  • 6.2.2. Germany
  • 6.2.3. Italy
  • 6.2.4. Spain
  • 6.2.5. France
  • 6.2.6. Rest of Europe
  • 6.3. Asia-Pacific
  • 6.3.1. China
  • 6.3.2. India
  • 6.3.3. Japan
  • 6.3.4. Rest of Asia-Pacific
  • 6.4. Rest of the World

    • 7. Company Profiles

    • 7.1. DEXMA
    • 7.2. Energsoft, Inc.
    • 7.3. Google LLC
    • 7.4. Hazama Ando Corp.
    • 7.5. HST Solar
    • 7.6. NEXTracker, Inc.
    • 7.7. Nnergix Energy Management SL
    • 7.8. Origami Energy Ltd.
    • 7.9. PowerScout, Inc.
    • 7.10. Raycatch Ltd.
    • 7.11. Stem, Inc.
    • 7.12. Upside Energy Ltd.
    • 7.13. Verdigris Technologies, Inc.
    • 7.14. Xcel Energy Inc.

    Global AI in Energy Management Market Size, Share & Trends Analysis Report by Deployment Type (Cloud and On-Premises), by Application (Renewable Management, Demand Management, and Infrastructure Management), by End-User (Manufacturing, Educational Facilities, Healthcare, and Others) and Forecasts, 2019 - 2025

    Artificial intelligence (AI) has proved out to be one of the biggest technological breakthroughs in this era. AI has transformed almost every business sector across the globe. The growing need for high computation power, growing adoption of cloud-based services, and complexity in handling the huge amount of data have enabled enterprises to employ AI technology in their operations. Moreover, with the advancements in computer technology, AI has escalated new heights in utility and applications. AI analyzes the immense amount of data by using techniques such as machine learning, deep learning, natural language processing, adaptive learning, and computer vision. In context to the energy sector; the emergence of decarbonization, decentralization, and new technologies; have caused a massive shift from conventional technologies to AI-based technologies.

    Geographically, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. North America held the dominating position in 2018 and is expected to continue to do so over the forecast period. North America is expected to be followed by Europe and Asia-Pacific in terms of revenue generation in 2018.

    Furthermore, the global AI in energy management market consists of several market players that adopt various strategies such as mergers and acquisitions, product offering expansion, geographical expansion, and partnerships and collaborations.

    Some of the key market players include Google LLC, Stem Inc., Hazama Ando Corp., Verdigris Technologies, Inc., Raycatch Ltd., HST Solar, and so on.

    Market Segmentation:

    1.    Global AI in Energy Management Market Research and Analysis by Deployment Type

    2.    Global AI in Energy Management Market Research and Analysis by Application

    3.    Global AI in Energy Management Market Research and Analysis by End-User

    The Report Covers:

    Comprehensive research methodology of the global AI in energy management market.

    This report also includes a detailed and extensive market overview with key analyst insights.

    An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.

    Analysis of regional regulations and other government policies impacting the global AI in energy management market.

    Insights about market determinants which are stimulating the global AI in energy management market.

    Detailed and extensive market segments with regional distribution of forecast revenues.

    Extensive profiles and recent developments of market players.
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