세계의 에너지용 생성형 AI 시장 - 기회 및 전략(-2034년)
Generative AI In Energy Global Market Opportunities And Strategies To 2034
상품코드 : 1742133
리서치사 : The Business Research Company
발행일 : 2025년 06월
페이지 정보 : 영문 355 Pages
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한글목차

세계의 에너지용 생성형 AI 시장은 2019년 3억 1,318만 달러로 평가되었으며, 2024년까지 24.00% 이상의 복합 연간 성장률(CAGR)로 성장했습니다.

EV 충전 수요 증가

실적 기간 동안 EV 충전 수요 증가는 에너지용 생성형 AI 시장 성장을 가속했습니다. 수요 패턴을 예측하고 충전 시간을 단축하고 지속가능한 충전 솔루션을 위해 신재생 에너지원을 통합함으로써 효율성을 높입니다. 2023년 4월, 국제 에너지 기관(IEA)가 발표한 보고서에 따르면, 2022년 말까지 전세계에서 270만곳의 공공 충전 포인트가 설치되어 그 설치수는 90만 곳을 넘어 2021년부터 55% 증가했습니다. 미국에서는 2022년 저속 충전기 증가는 불과 9%로 주요 시장 가운데 최저였지만, 한국에서는 저속 충전 포인트가 전년 대비 2배인 18만 4,000에 이르렀습니다.

목차

제1장 주요 요약

제2장 목차

제3장 표 일람

제4장 그림 일람

제5장 보고서 구성

제6장 시장 특징

제7장 주요 시장 동향

제8장 세계의 에너지용 생성형 AI의 성장 분석과 전략 분석 프레임워크

제9장 세계의 에너지용 생성형 AI 시장 : 세분화

제10장 에너지용 생성형 AI 시장 : 지역 및 국가별 분석

제11장 아시아태평양 시장

제12장 서유럽 시장

제13장 동유럽 시장

제14장 북미 시장

제15장 남미 시장

제16장 중동 시장

제17장 아프리카 시장

제18장 경쟁 구도와 기업 프로파일

제19장 기타 주요 기업

제20장 경쟁 벤치마킹

제21장 경쟁 대시보드

제22장 주요 인수합병(M&A)

제23장 에너지용 생성형 AI의 최근 동향

제24장 기회와 전략

제25장 에너지용 생성형 AI 시장 : 결론과 제안

제26장 부록

JHS
영문 목차

영문목차

Generative ai in the energy sector refers to the application of artificial intelligence models capable of generating insights, forecasts and optimizations based on vast amounts of energy-related data. These ai-driven solutions are used to enhance decision-making, efficiency and operational capabilities across the energy value chain.

The generative AI in energy market consists of sales, by entities (organizations, sole traders, or partnerships), of generative AI in energy that develop, implement and provide ai-driven solutions and services tailored for the energy sector. These solutions are used to forecast energy demand, optimize grid operations, predict renewable energy output and support energy trading and pricing strategies.

The global generative AI in energy market was valued at $313.18 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 24.00%.

Increasing EV Charging Demand

During the historic period, the increasing EV charging demand propelled the growth of the generative AI in energy market. Generative ai is essential for EV charging as it optimizes charging station placement, manages energy distribution and balances grid load in real time. It enhances efficiency by predicting demand patterns, reducing charging times and integrating renewable energy sources for sustainable charging solutions. For instance, in April 2023, according to a report published by the International Energy Agency, a France-based intergovernmental organization, there were 2.7 million public charging points globally by the end of 2022, with over 900,000 installed that year, marking a 55% increase from 2021. China accounted for more than half of the world's public slow chargers, while Europe ranked second with 460,000 slow chargers, a 50% rise from the previous year. The Netherlands led in Europe with 117,000 chargers, followed by France with 74,000 and Germany with 64,000. In the United States, slow charger stock grew by just 9% in 2022, the lowest among major markets, whereas Korea saw its slow charging points double year-on-year, reaching 184,000. Therefore, the increasing EV charging demand drove the growth of the generative AI in energy market.

Advancing Energy Efficiency With On-Site Generative ai Innovations

Leading companies in the generative ai market within the energy sector are prioritizing the development of innovative solutions to enhance automation, optimize decision-making, foster innovation and generate valuable insights. These efforts aim to improve efficiency and reduce operational costs across multiple industries. Generative ai solutions, powered by artificial intelligence, are designed to create, analyze and optimize data-driven content, models and insights, facilitating better decision-making, increased automation and advanced innovation. For instance, in November 2024, Pacific Gas & Electric (PG&E), a US-based provider of natural gas and electric service, launched the deployment of an on-site generative ai solution for data retrieval at its Diablo Canyon nuclear power plant. PG&E is implementing Atomic Canyon's ai-powered solutions at Diablo Canyon, marking the first commercial on-site generative ai deployment at a U.S. nuclear power plant. Built on NVIDIA's full-stack ai platform, Atomic Canyon's Neutron Enterprise generative ai solution features the FERMI family of ai models, developed in collaboration with the Department of Energy's Oak Ridge National Laboratory. This deployment aims to revolutionize document search and retrieval processes, enhancing operational efficiency and delivering significant cost savings within the nuclear energy sector.

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.

Generative AI In Energy Global Market Opportunities And Strategies To 2034 from The Business Research Company 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

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 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 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

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

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

20 Competitive Benchmarking

21 Competitive Dashboard

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

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