市場調査レポート
商品コード
1128320
エネルギー管理におけるAIの世界市場-成長、将来展望、競合分析(2022年~2030年)AI in Energy Management Market - Growth, Future Prospects and Competitive Analysis, 2022 - 2030 |
エネルギー管理におけるAIの世界市場-成長、将来展望、競合分析(2022年~2030年) |
出版日: 2022年04月15日
発行: Acute Market Reports
ページ情報: 英文 114 Pages
納期: 即日から翌営業日
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世界のエネルギー管理におけるAIの市場規模は、2021年に244億米ドルとなり、2022年から2030年までのCAGRは21.2%と予測されています。グリッドの安定性を向上させるための人工知能(AI)の活用、スマートエネルギー管理ソリューションのニーズの高まり、世界中でのエネルギー生産・消費の拡大は、エネルギー管理におけるAI市場の成長を促進すると予想されます。
当レポートでは、世界のエネルギー管理におけるAI市場について調査分析し、ビジネス展望、市場力学、市場分析、企業プロファイルなど、体系的な情報を提供しています。
Key Market Insights
"Rising energy production and consumption worldwide will boost market growth"
The global AI in energy management market is growing tremendously, projected to expand at a CAGR of 21.2% throughout the projected period from 2022 to 2030, starting from US$ 24.4 Bn in 2021.
The global AI in energy management market is majorly driven by the growing energy production & consumption worldwide along with leveraging artificial intelligence (AI) to improve grid stability and the growing need for smart energy management solutions. In 2018, the global primary energy consumption was 1, 57,063.77 TWh raised 2.4% from 1, 53,347.15 TWh in 2017. Moreover, India, China, and the U.S. together accounted for over 2/3rd of the worldwide increase in energy demand. The surge in the use of renewable energy sources is another factor driving the growth of the market. The introduction of cloud-based software to improve service operations, to deliver real-time insights and easy product development are some other major factors expected to enhance the market demand over the forecast period.
The integration of IoT (internet of things) to monitor utility & energy data in the energy management systems is another major factor expected to drive the market growth over the forecast period. The global energy management systems market was valued at around US$ 39.0 Bn in 2018 and anticipated to expand with a CAGR of nearly 19% over the forecast period. Market players are focusing on strategic collaborations for launching advanced AI-based energy management systems. For instance, in November 2019, ABB Ltd. partners with Verdigris Technologies for revolutionizing energy management through artificial intelligence (AI) solutions. They launched two AI-powered applications in the ABB Ability EDCS (Electrical Distribution Control System), Energy Forecasting, and Intelligent Alerts. Intelligent Alerts app will help consumers to identify underlying issues, better manage their assets and Energy Forecasting app will help in reducing electricity bills through tumbling peak demand charges.
Application Analysis
"Growing need for effective energy management services to spur the segment growth"
The energy output forecasting segment dominated the global market in 2021. The segment had the highest share due to a surge in the need for effective energy management services coupled with growing energy consumption worldwide. Artificial intelligence (AI) solutions help in utilizing data through machine learning techniques and statistical algorithms which help in providing better services to consumers.
"Surge in demand to manage energy output globally to spur the segment growth"
The energy generation segment is anticipated to expand with the highest CAGR over the forecast period owing to the growing demand to manage the total energy output from different sources such as wind power stations, solar power plants, thermal plants, and others. The need to match temporal and spatial variations in real-time is another factor for segment growth.
Regional Analysis
"The rise in the integration of AI in the energy industry to enhance North America growth"
In 2021, North America was dominant in the global AI in the energy management market. The region accounted for around 33% of the world market share in the same year. North America was dominant in 2018 due to the rise in the integration of artificial intelligence in the energy industry along with early technological adoption and presence of major market players in the region such as IBM Corporation, Honeywell International, Inc., General Electric Company, and others. The U.S. had the highest share in the North America AI in energy management market in 2018, contributed to more than 82% market share in the same year. The U.S. had a major share due to a surge in government investment coupled with the growing demand for energy. According to a report, the U.S. consumption is expanding at its fastest rate for the last 30 years.
Key Industry Developments:
In July 2019, Microsoft Corporation and Schneider Electric SE collaborated to launch an accelerator program, artificial intelligence (AI) for green energy in the Microsoft Corporation AI factory in Europe. The program will help start-ups to transform the energy sector in the region by increasing energy efficiency and decreasing consumption.
In May 2019, Schneider Electric SE acquired a stake in AutoGrid. With the stake acquisition in AutoGrid, Schneider Electric SE establishes a co-innovation partnership. The co-innovation partnership will focus on driving machine learning and artificial intelligence (AI) solutions for the energy industry.
In February 2020, Eaton Corporation PLC acquired Power Distribution, Inc. With the acquisition of Power Distribution, Inc., Eaton Corporation PLC is anticipated to expand its data center power monitoring and distribution solutions.
In October 2019, Siemens AG announced the separation of its energy business in a new company called Siemens Energy. Siemens Energy is expected to become a separate entity from April 2020. The new company will work on the reduction of CO2 emissions and will introduce new trends in the energy industry with the help of artificial intelligence (AI).
List of Companies Covered:
IBM Corporation
Eaton Corporation PLC
General Electric Company
ABB Ltd.
Siemens AG
Honeywell International Inc.
Schneider Electric SE
Xcel Energy Inc.
Rockwell Automation
Wipro Limited
Microsoft Corporation
Historical & Forecast Period
This study report represents analysis of each segment from 2020 to 2030 considering 2021 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2022 to 2030.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of AI in Energy Management market are as follows:
Research and development budgets of manufacturers and government spending
Revenues of key companies in the market segment
Number of end users and consumption volume, price and value.
Geographical revenues generate by countries considered in the report
Micro and macro environment factors that are currently influencing the AI in Energy Management market and their expected impact during the forecast period.
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE DETAILS
Research Period 2020-2030
Base Year 2021
Forecast Period 2022-2030
Historical Year 2020
Unit USD Billion
Segmentation
Deployment Type
Cloud
On-premise
Solution
Renewable Management
Demand Management
Infrastructure Management
Technology
Machine Learning
Natural Language Processing
Computer Vision
Application
Energy Generation
Energy Transmission
Energy Distribution
Energy Output Forecasting
End-user
Manufacturing
Utility
Residential
Government
Retail
Healthcare
Education
Region Segment (2020-2030; US$ Billion)
North America
U.S.
Canada
Rest of North America
UK and European Union
UK
Germany
Spain
Italy
France
Rest of Europe
Asia Pacific
China
Japan
India
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East and Africa
GCC
Africa
Rest of Middle East and Africa
Global Impact of Covid-19 Segment (2020-2021; US$ Billion )
Pre Covid-19 situation
Post Covid-19 situation
Key questions answered in this report
What are the key micro and macro environmental factors that are impacting the growth of AI in Energy Management market?
What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
Estimated forecast and market projections up to 2030.
Which segment accounts for the fastest CAGR during the forecast period?
Which market segment holds a larger market share and why?
Are low and middle-income economies investing in the AI in Energy Management market?
Which is the largest regional market for AI in Energy Management market?
What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
Which are the key trends driving AI in Energy Management market growth?
Who are the key competitors and what are their key strategies to enhance their market presence in the AI in Energy Management market worldwide?