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세계의 에너지용 생성형 AI 시장 보고서(2025년)
Generative AI In Energy Global Market Report 2025
상품코드 : 1795764
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

세계의 에너지용 생성형 AI 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 24.0%로 28억 달러로 성장할 것으로 보입니다. 예측기간의 성장은 정밀도 향상, 배전 개선 수요, 고객 참여의 중시 증가, 태양광 및 풍력에너지 도입 증가, 자산 관리 증가로 인한 것으로 예측됩니다. 예측 기간의 주요 동향으로는 실시간 예측, 동적 적응 및 최적화, 예측 분석 강화, 고급 데이터 소스 통합, 예측 유지보수 및 자산 관리, 스마트 그리드 관리 등이 있습니다.

향후 5년간의 성장률 24.0%라는 예측은 지난 예측으로부터 0.2% 소폭 감소를 반영하고 있습니다. 이 감소는 주로 미국과 타국 간의 관세의 영향 때문입니다. 세계 기술 허브에서 제공하는 고급 GPU 및 클라우드 인프라 서비스에 대한 관세 상승은 실시간 에너지 예측 및 예지 보전에 대한 일반 AI 용도의 확장성과 합리적인 가격을 손상시킬 수 있습니다. 또한 상호관세와 무역의 긴장과 한계 증가로 인한 세계경제와 무역에 대한 악영향으로 인해 그 영향이 더욱 광범위해질 것으로 보입니다.

태양광 발전 증가는 에너지에서 생성형 AI 시장의 성장을 가속할 것으로 예측됩니다. 태양광발전은 태양광발전(PV) 패널과 집광형 태양광발전(CSP) 시스템을 이용하여 태양광을 전력으로 변환하는 것으로, 기술비용의 저하나 화석연료와 비교하여 이산화탄소 배출량이 삭감되는 등 환경면에서의 이점에 대한 의식의 고조가 보급을 뒷받침하고 있습니다. 태양광 발전과 발전 AI 기술의 통합은 에너지 시스템의 효율성, 신뢰성, 지속가능성을 향상시키고 보다 깨끗하고 강인한 에너지의 미래로의 전환을 돕는 큰 기회를 제공합니다. 예를 들어, 2023년 3월, 미국 에너지 정보국(EIA)은 그 해 미국의 신규 발전 용량 증가의 절반 이상을 태양광 에너지가 차지할 것으로 예측하고, 한편, 세계 발전 구성에서 차지하는 재생에너지의 비율은 2022년의 29%에서 2025년에는 35%로 증가할 것으로 예측했습니다. 세계 전력 부문의 CO2 배출량은 2022년 약 13.2 기가톤(Gt)을 최고로 2025년까지 안정될 것으로 예측됩니다. 미국에서는 2023년 1월 현재 전력회사 규모의 태양광 발전은 73.5기가와트(GW)로 총 발전 용량의 약 6%를 차지하고, 풍력 발전은 141.3GW로 약 12%입니다. 게다가 미국 개발자들은 올해 풍력발전 용량을 7.1GW 확대하고 8.6GW의 축전지를 추가할 계획이며, 사실상 미국의 축전지 용량은 두배가 됩니다. 그러므로 태양광 발전 증가는 에너지의 발전 AI 시장을 견인하는 중요한 요인입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

JHS
영문 목차

영문목차

Generative AI in energy involves leveraging artificial intelligence techniques, like generative adversarial networks (GANs), to create synthetic data or models simulating energy-related processes. These AI systems aid in optimizing energy production, forecasting demand, enhancing grid stability, and developing efficient energy management strategies, thus advancing sustainability and reliability in the energy sector.

The primary components of generative AI in energy include solutions and services. Generative AI solutions in energy utilize artificial intelligence models to tackle various challenges and optimize operations within the energy sector. These solutions find applications in demand forecasting, renewable energy output prediction, grid management, energy trading, customer offerings, energy storage optimization, and more. End users encompass energy transmission, generation, distribution, utilities, and related sectors.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a notable impact on the utilities sector, particularly across power generation, grid modernization, and renewable energy initiatives. Increased duties on imported equipment such as turbines, transformers, solar panels, and battery storage systems are driving up both capital and operational expenses for utility companies, prompting many to delay projects or pass higher costs on to consumers through increased energy rates. The water and waste management sectors are similarly affected, as tariffs inflate the cost of essential machinery, piping, and treatment technologies. Moreover, retaliatory tariffs from key trading partners have disrupted the supply of critical raw materials-such as rare earth elements vital for clean energy technologies-posing further challenges to the shift toward sustainable energy. In response, the sector is increasingly focusing on domestic procurement, digital transformation, and efficiency-enhancing innovations to control rising costs while safeguarding energy reliability and meeting regulatory demands.

The generative AI in energy market research report is one of a series of new reports from The Business Research Company that provides generative AI in energy market statistics, including generative AI in energy industry global market size, regional shares, competitors with a generative AI in energy market share, detailed generative AI in energy market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in energy industry. This generative AI in energy market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative ai in energy market size has grown exponentially in recent years. It will grow from $0.95 billion in 2024 to $1.18 billion in 2025 at a compound annual growth rate (CAGR) of 24.2%. The growth in the historic period can be attributed to the rise of renewable energy sources, demand forecasting, increasing energy storage systems, demand response optimization, and increasing risk management and resilience.

The generative ai in energy market size is expected to see exponential growth in the next few years. It will grow to $2.8 billion in 2029 at a compound annual growth rate (CAGR) of 24.0%. The growth in the forecast period can be attributed to increasing accuracy, demand for improved electricity distribution, increasing focus on customer engagement, increasing adoption of solar and wind energy, and rising asset management. Major trends in the forecast period include real-time forecasting, dynamic adaptation and optimization, enhanced predictive analytics, integration of advanced data sources, predictive maintenance and asset management, and smart grid management.

The forecast of 24.0% growth over the next five years reflects a slight reduction of 0.2% from the previous projectiont. This reduction is primarily due to the impact of tariffs between the US and other countries. Rising tariffs on advanced GPUs and cloud infrastructure services from global tech hubs could undercut the scalability and affordability of generative AI applications in real-time energy forecasting and predictive maintenance. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing generation of solar electricity is expected to drive the growth of the generative AI market in the energy sector. Solar electricity generation involves converting sunlight into power using photovoltaic (PV) panels or concentrated solar power (CSP) systems, and its adoption is being propelled by declining technology costs and growing awareness of its environmental benefits, such as reduced carbon emissions compared to fossil fuels. The integration of solar electricity with generative AI technologies presents significant opportunities to enhance the efficiency, reliability, and sustainability of energy systems, thereby supporting the transition to a cleaner and more resilient energy future. For instance, in March 2023, the U.S. Energy Information Administration (EIA) projected that solar energy would account for over half of new power capacity additions in the U.S. for the year, while renewables are expected to increase their share of the global power generation mix from 29% in 2022 to 35% by 2025. Although CO2 emissions from the global power sector peaked at around 13.2 gigatons (Gt) in 2022, they are anticipated to stabilize through 2025. In the U.S., utility-scale solar power accounted for 73.5 gigawatts (GW) as of January 2023, representing about 6% of the total power capacity, while wind power stood at 141.3 GW, or approximately 12%. Additionally, U.S. developers plan to expand wind capacity by 7.1 GW and add 8.6 GW of battery storage this year, effectively doubling the nation's battery storage capacity. Therefore, the increasing generation of solar electricity is a key factor driving the generative AI market in the energy sector.

Key players in generative AI in the energy market are focusing on developing innovative products, such as real-time asset performance management solutions, to optimize energy production, distribution, and consumption processes. Real-time asset performance management involves monitoring, analyzing, and optimizing the performance of assets like machinery, equipment, or infrastructure in real-time or near real-time. For instance, in April 2024, Databricks Inc., a leading US-based global data, analytics, and artificial intelligence company, introduced the data intelligence platform for the energy sector. This unified platform harnesses the power of AI to empower data-driven decision-making in the energy industry. It addresses critical industry challenges through features like real-time asset performance management, renewable energy forecasting, and grid optimization, enabling organizations to enhance energy infrastructure and manage market volatility effectively. The Databricks data intelligence platform operates on a lakehouse architecture, providing an open, unified foundation for data and governance, and is driven by a data intelligence engine designed to understand data uniqueness.

In January 2023, Snowflake Inc., a prominent US-based cloud computing-based data cloud company, acquired Myst AI Inc. in an undisclosed transaction. This acquisition is part of Snowflake's strategy to integrate machine learning capabilities into its data cloud and strengthen its time series forecasting capabilities. Myst AI Inc. specializes in generative AI solutions tailored for the energy sector, contributing to Snowflake's efforts to enhance its offerings in the energy analytics domain.

Major companies operating in the generative AI in energy market report are Google LLC; Microsoft Corporation; Engie SA; Enel Green Power S.p.A.; Huawei Technologies Co. Ltd; Amazon Web Services Inc; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Deloitte Touche Tohmatsu Limited; Cisco Systems Inc; Schneider Electric SE; Honeywell International Inc.; Flex Ltd; ABB Ltd; Duke Energy Corporation; Nvidia Corporation; Atos SE; Zen Robotics Ltd; Freshworks Inc.; C3 AI Inc; Databricks Inc; AppOrchid Inc; Verdigris Technologies; Ecube Labs Co. Ltd; Bidgely Inc

North America was the largest region in the generative AI in energy market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in energy market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative AI in energy market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in energy market consists of revenues earned by entities by providing services such as optimizing energy and utility grid management and performance, production capacity, demand patterns, streamlining operations and maintenance, predictive maintenance, energy trading and market analysis, and carbon emissions reduction. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in energy market also includes sales of Internet of Things (IoT) devices, sensors, smart meters, weather stations, voltage sensors, data acquisition systems, energy management systems, edge computing devices, and energy storage systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative AI In Energy Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative ai in energy market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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, including technological disruption, regulatory shifts, and changing consumer preferences? The generative ai in energy market global report from the Business Research Company 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 historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Generative AI In Energy Market Characteristics

3. Generative AI In Energy Market Trends And Strategies

4. Generative AI In Energy Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Generative AI In Energy Growth Analysis And Strategic Analysis Framework

6. Generative AI In Energy Market Segmentation

7. Generative AI In Energy Market Regional And Country Analysis

8. Asia-Pacific Generative AI In Energy Market

9. China Generative AI In Energy Market

10. India Generative AI In Energy Market

11. Japan Generative AI In Energy Market

12. Australia Generative AI In Energy Market

13. Indonesia Generative AI In Energy Market

14. South Korea Generative AI In Energy Market

15. Western Europe Generative AI In Energy Market

16. UK Generative AI In Energy Market

17. Germany Generative AI In Energy Market

18. France Generative AI In Energy Market

19. Italy Generative AI In Energy Market

20. Spain Generative AI In Energy Market

21. Eastern Europe Generative AI In Energy Market

22. Russia Generative AI In Energy Market

23. North America Generative AI In Energy Market

24. USA Generative AI In Energy Market

25. Canada Generative AI In Energy Market

26. South America Generative AI In Energy Market

27. Brazil Generative AI In Energy Market

28. Middle East Generative AI In Energy Market

29. Africa Generative AI In Energy Market

30. Generative AI In Energy Market Competitive Landscape And Company Profiles

31. Generative AI In Energy Market Other Major And Innovative Companies

32. Global Generative AI In Energy Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative AI In Energy Market

34. Recent Developments In The Generative AI In Energy Market

35. Generative AI In Energy Market High Potential Countries, Segments and Strategies

36. Appendix

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