AI (Artificial Intelligence) in Energy Management Market

AI (Artificial Intelligence) in Energy Management Market - Global Industry Share, Growth, Competitive Analysis and Forecast, 2019-2025

Published: Jul 2019 | Report Code: | Category : Artificial Intelligence | Delivery Format: /

Artificial intelligence (AI) is one of the major technological breakthroughs that is transforming every business sector globally. AI has been extensively used in various application owing to the growing need for high computation power in almost every field. Moreover, complexity in handling the colossal amount of data generated each day, growing adoption of cloud-based services, and development in advanced algorithms have forced the companies to adopt AI technology. 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. Harnessing this technology, enterprises can develop innumerable smart applications that can take accurate critical decision autonomously, without human intervention.

With the emergence of decarbonization, decentralization, and new technologies; a massive shift has been observed in the global energy market. The growing use of unpredictable renewable energy sources in power generation has caused an imbalance in demand and supply of energy. To manage this, effective ways are being explored by utilities, independent power producers and other energy companies. Therefore, these companies are using AI technologies to improve the accessibility and efficiency of renewable energy technologies. AI along with other advanced technologies such as big data and IoT can aid the active management of electricity grids by balancing demand and supply. The global AI in the energy management market is expected to escalate at a lucrative growth rate over the forecast period. The report analyzes the market on the basis of deployment type, application, end-user, and region.

AI (Artificial Intelligence) in Energy Management Market Report

On the basis of region, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. North America is expected to hold the dominating position over the forecast period due to the presence of key AI technology providers and extensive adoption of AI technologies across the region. Europe and Asia-Pacific are expected to grow at a significant growth rate over the forecast period 2019–2025. Furthermore, the global AI in energy management market consists of several market players which are providing AI technology in the energy management sector to cater to a wide range of customers across the globe. Some of the key market players include Google LLC, Stem Inc., Hazama Ando Corp., Verdigris Technologies, Inc., Raycatch Ltd., HST Solar, and so on. These players adopt various strategies in order to remain competitive in the global market. Some of the strategies followed by market players include mergers and acquisitions, product offering expansion, geographical expansion, and partnerships and collaborations.

Research Methodology:

The market study of the global AI in energy management market is incorporated by extensive primary and secondary research conducted by a research team at OMR.  Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market
  • Whitepapers, research-papers and news blogs
  • Company websites and their product catalog

The report is intended for market research firms, investment companies, third-party service providers, AI system providers, system integrators, cloud service providers for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.

Market Segmentation:

  • Global AI in Energy Management Market Research and Analysis by Deployment Type
  • Global AI in Energy Management Market Research and Analysis by Application
  • 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
  • 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
  • Detailed and extensive market segments with regional distribution of forecast revenues.
  • Extensive profiles and recent developments of market players.

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.