This report describes and explains the generative AI in energy market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative AI in energy market reached a value of nearly $952.25 million in 2024, having grown at a compound annual growth rate (CAGR) of 24.91% since 2019. The market is expected to grow from $952.25 million in 2024 to $2.82 billion in 2029 at a rate of 24.32%. The market is then expected to grow at a CAGR of 23.61% from 2029 and reach $8.16 billion in 2034.
Growth in the historic period resulted from the increasing energy demand, increasing EV charging demand and increasing ai adoption. Factors that negatively affected growth in the historic period were high upfront investment costs for ai implementation and rising security concerns in the energy sector.
Going forward, the increasing renewable sources of energy, growing adoption of digital twins, favorable government support and increasing adoption of cloud computing will drive the growth. Factor that could hinder the growth of the generative AI in energy market in the future include high energy consumption and regulatory and compliance challenges.
North America was the largest region in the generative AI in energy market, accounting for 37.17% or $353.92 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in energy market will be Asia-Pacific and Middle East where growth will be at CAGRs of 28.98% and 27.08% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 26.07% and 25.44% respectively.
The global generative AI in energy market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 22.63% of the total market in 2023.Microsoft Corporation was the largest competitor with a 3.90% share of the market, followed by Amazon.com Inc. with 3.57%, Oracle Corp. with 3.50%, Schneider Electric SE. with 2.82%, Alphabet Inc. (Google LLC). with 2.61%, Siemens AG. with 1.83%, NVIDIA Corporation. with 1.53%, ABB Ltd. with 1.15%, Atos SE. with 0.92% and Alpiq Holding Ltd. with 0.79%.
The generative AI in energy market is segmented by component into solutions and services. The services market was the largest segment of the generative AI in energy market segmented by component, accounting for 70.66% or $672.87 million of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the generative AI in energy market segmented by component, at a CAGR of 25.06% during 2024-2029.
The generative AI in energy market is segmented by application into demand forecasting, renewable energy output forecasting, grid management and optimization, energy trading and pricing, customer offerings, energy storage optimization and other applications. The demand forecasting market was the largest segment of the generative AI in energy market segmented by application, accounting for 26.93% or $256.42 million of the total in 2024. Going forward, the energy storage optimization segment is expected to be the fastest growing segment in the generative AI in energy market segmented by application, at a CAGR of 30.68% during 2024-2029.
The generative AI in energy market is segmented by end-user into energy transmission, energy generation, energy distribution, utilities and other end users. The energy generation market was the largest segment of the end-user market segmented by end-user, accounting for 29.57% or $281.62 million of the total in 2024. Going forward, the energy generation segment is expected to be the fastest growing segment in the generative AI in energy market segmented by end-user, at a CAGR of 28.32% during 2024-2029.
The top opportunities in the generative AI in energy market segmented by component will arise in the services segment, which will gain $1.38 billion of global annual sales by 2029. The top opportunities in the generative AI in energy market segmented by application will arise in the demand forecasting segment, which will gain $423.94 million of global annual sales by 2029. The top opportunities in the generative AI in energy market segmented by end-user will arise in the energy generation segment, which will gain $698.13 million of global annual sales by 2029. The generative AI in energy market size will gain the most in the USA at $511.09 million.
Market-trend-based strategies for the generative AI in energy market include developing technologically advanced products, such as generative ai copilots, development of innovative solutions to enhance automation and developing strategic partnerships to enable businesses to leverage complementary strengths.
Player-adopted strategies in the generative AI in energy market include focus on strengthening its operational capabilities through technology launches, products and solutions and strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in energy to focus on integrating generative AI copilots to enhance operational efficiency and decision-making, focus on adopting centralized platforms to streamline air charter operations, focus on the services segment to maximize growth in generative AI for energy, expand in emerging markets, focus on forming strategic partnerships to accelerate generative AI deployment in energy, focus on value-based pricing to maximize revenue and adoption, prioritize stakeholder-specific messaging across primary communication channels, activate targeted partnerships to extend reach and accelerate trust-building, focus on energy storage optimization to capture highest growth potential and focus on energy generation to maximize market impact.
The global generative AI in energy market reached a value of nearly $952.25 million in 2024, having grown at a compound annual growth rate (CAGR) of 24.91% since 2019. The market is expected to grow from $952.25 million in 2024 to $2.82 billion in 2029 at a rate of 24.32%. The market is then expected to grow at a CAGR of 23.61% from 2029 and reach $8.16 billion in 2034.
Growth in the historic period resulted from the increasing energy demand, increasing EV charging demand and increasing ai adoption. Factors that negatively affected growth in the historic period were high upfront investment costs for ai implementation and rising security concerns in the energy sector.
Going forward, the increasing renewable sources of energy, growing adoption of digital twins, favorable government support and increasing adoption of cloud computing will drive the growth. Factor that could hinder the growth of the generative AI in energy market in the future include high energy consumption and regulatory and compliance challenges.
North America was the largest region in the generative AI in energy market, accounting for 37.17% or $353.92 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in energy market will be Asia-Pacific and Middle East where growth will be at CAGRs of 28.98% and 27.08% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 26.07% and 25.44% respectively.
The global generative AI in energy market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 22.63% of the total market in 2023.Microsoft Corporation was the largest competitor with a 3.90% share of the market, followed by Amazon.com Inc. with 3.57%, Oracle Corp. with 3.50%, Schneider Electric SE. with 2.82%, Alphabet Inc. (Google LLC). with 2.61%, Siemens AG. with 1.83%, NVIDIA Corporation. with 1.53%, ABB Ltd. with 1.15%, Atos SE. with 0.92% and Alpiq Holding Ltd. with 0.79%.
The generative AI in energy market is segmented by component into solutions and services. The services market was the largest segment of the generative AI in energy market segmented by component, accounting for 70.66% or $672.87 million of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the generative AI in energy market segmented by component, at a CAGR of 25.06% during 2024-2029.
The generative AI in energy market is segmented by application into demand forecasting, renewable energy output forecasting, grid management and optimization, energy trading and pricing, customer offerings, energy storage optimization and other applications. The demand forecasting market was the largest segment of the generative AI in energy market segmented by application, accounting for 26.93% or $256.42 million of the total in 2024. Going forward, the energy storage optimization segment is expected to be the fastest growing segment in the generative AI in energy market segmented by application, at a CAGR of 30.68% during 2024-2029.
The generative AI in energy market is segmented by end-user into energy transmission, energy generation, energy distribution, utilities and other end users. The energy generation market was the largest segment of the end-user market segmented by end-user, accounting for 29.57% or $281.62 million of the total in 2024. Going forward, the energy generation segment is expected to be the fastest growing segment in the generative AI in energy market segmented by end-user, at a CAGR of 28.32% during 2024-2029.
The top opportunities in the generative AI in energy market segmented by component will arise in the services segment, which will gain $1.38 billion of global annual sales by 2029. The top opportunities in the generative AI in energy market segmented by application will arise in the demand forecasting segment, which will gain $423.94 million of global annual sales by 2029. The top opportunities in the generative AI in energy market segmented by end-user will arise in the energy generation segment, which will gain $698.13 million of global annual sales by 2029. The generative AI in energy market size will gain the most in the USA at $511.09 million.
Market-trend-based strategies for the generative AI in energy market include developing technologically advanced products, such as generative ai copilots, development of innovative solutions to enhance automation and developing strategic partnerships to enable businesses to leverage complementary strengths.
Player-adopted strategies in the generative AI in energy market include focus on strengthening its operational capabilities through technology launches, products and solutions and strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in energy to focus on integrating generative AI copilots to enhance operational efficiency and decision-making, focus on adopting centralized platforms to streamline air charter operations, focus on the services segment to maximize growth in generative AI for energy, expand in emerging markets, focus on forming strategic partnerships to accelerate generative AI deployment in energy, focus on value-based pricing to maximize revenue and adoption, prioritize stakeholder-specific messaging across primary communication channels, activate targeted partnerships to extend reach and accelerate trust-building, focus on energy storage optimization to capture highest growth potential and focus on energy generation to maximize market impact.
Major Market Trends
- Enhancing Industrial Efficiency With Generative ai Copilots
- Advancing Energy Efficiency With on-Site Generative ai Innovations
- Strategic Partnerships Driving Generative ai Innovation in the Energy Sector
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Global Generative AI in Energy Growth Analysis and Strategic Analysis Framework
9 Global Generative AI in Energy Market Segmentation
10 Generative AI in Energy Market, Regional and Country Analysis
11 Asia-Pacific Market
12 Western Europe Market
13 Eastern Europe Market
14 North America Market
15 South America Market
16 Middle East Market
17 Africa Market
18 Competitive Landscape and Company Profiles
19 Other Major Companies
22 Key Mergers and Acquisitions
23 Recent Developments in Generative AI in Energy
24 Opportunities and Strategies
25 Generative AI in Energy Market, Conclusions and Recommendations
26 Appendix
Executive Summary
Generative AI in Energy Global Market Opportunities and Strategies to 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI in energy market as it emerges from the COVID-19 shut down.Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
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- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
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Description
Where is the largest and fastest-growing market for generative AI in energy? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative AI in energy market global report answers all these questions and many more.The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider generative AI in energy market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by component, by application and by end user.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis and Strategic Analysis Framework - Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Global Market Size and Growth - Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional and Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by component, by application and by end user in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies - Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities and Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations- This section includes recommendations for generative AI in energy providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NaiCS codes covered, abbreviations and currencies codes used in this report.
1) by Component: Solutions; Services
2) by Application: Demand Forecasting; Renewable Energy Output Forecasting; Grid Management and Optimization; Energy Trading and Pricing; Customer Offerings; Energy Storage Optimization; Other Applications
3) by End-User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
Key Companies Profiled: Microsoft Corporation; Amazon.com Inc.; Oracle Corp.; Schneider Electric SE; Alphabet Inc. (Google LLC)
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; generative AI in energy indicators comparison.
Data Segmentation: Country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
The companies featured in this Generative AI in Energy market report include:- Microsoft Corporation
- Amazon.com Inc.
- Oracle Corp.
- Schneider Electric SE
- Alphabet Inc. (Google LLC)
- Siemens AG
- NVIDIA Corporation
- ABB Ltd.
- Atos SE
- Alpiq Holding Ltd.
- Mitsubishi Electric Corporation
- Huawei Technologies Co. Ltd
- Ecube Labs Co., Ltd
- Shandong Energy Group Co. Ltd
- YunDing Tech Co., Ltd
- Tata Power Company Limited
- GCL Energy Technology
- Infosys Limited
- Bidgely
- Kyndryl India
- Star Energy
- Barito Renewables
- Tokyo Electric Power Company (TEPCO)
- Hitachi, Ltd.
- Hyundai Engineering Co., Ltd
- General Electric Company
- Naver Corporation
- Iberdrola, S.A.
- EON SE
- Bidgely Utilityai
- Origami Energy Ltd
- ANNEA
- Hitachi Energy Ltd
- Deloitte Touche Tohmatsu Limited
- Ogre ai
- Enea Operator Sp.z.o.o.
- Electrica Group
- Google LLC
- Edgecom Energy
- Pacific Gas and Electric Company (PG&E)
- Schlumberger
- Databricks
- Snowflake Inc.
- Fluence
- Google Energy LLC
- International Business Machines Corporation
- ExxonMobil
- Baker Hughes Company
- Open ai
- Suncor Energy
- Ontario Power Generation Inc.
- Enbridge Inc.
- EDP Group
- Petróleo Brasileiro S.A.
- CPFL Energia
- Enel Brasil S.A
- Shell Brasil
- NEOM
- DataVolt
- Abu Dhabi National Oil Company (ADNOC)
- Saudi Aramco
- aiQ
- NeuRaL ai
- Sasol Limited
- Siemens
- DataProphet
- Eskom Hld SOC Ltd
- Serengeti Energy
- Aiteo Group
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 355 |
| Published | April 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 952.3 Million |
| Forecasted Market Value ( USD | $ 8160 Million |
| Compound Annual Growth Rate | 24.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 70 |
