AI in Energy Management

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 – 2025Artificial 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.
The global AI in energy management market is growing at an impressive growth rate over the forecast period. 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. The report analyzes the market on the basis of deployment type, application, end-user, and region. On the basis of deployment type, the market is divided into cloud and on-premises. On the basis of application, the market is classified into renewable management, demand management, and infrastructure management. Whereas, on the basis of end-user, the market is segregated into manufacturing, educational facilities, healthcare, and others.
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.
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:
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.