시장보고서
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2144917

에너지 및 유틸리티 분야 응용 AI 시장(2026-2030년)

Global Applied AI In Energy And Utilities Market 2026-2030

발행일: | 리서치사: 구분자 TechNavio | 페이지 정보: 영문 318 Pages | 배송안내 : 즉시배송

    
    
    




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세계의 에너지 및 유틸리티 분야 응용 AI 시장은 2025년부터 2030년까지 20억 7,270만 달러 증가하고, 예측 기간 동안 CAGR은 29.9%에 달할 것으로 예측됩니다.

세계 에너지 및 유틸리티 분야 응용 AI 시장에 관한 본 보고서에서는 종합적인 분석, 시장 규모 및 전망, 동향, 성장 요인, 과제는 물론, 약 25개 벤더를 대상으로 한 벤더 분석을 제공합니다.

본 보고서는 현재의 시장 상황, 최신 동향 및 촉진요인, 그리고 전반적인 시장 환경에 대한 최신 분석을 제공합니다. 이 시장은 디지털화가 진행되는 경제권 내 전력 수요 증가, 재생에너지 통합 요건의 고도화, 그리고 운영 효율 및 자산 최적화에 대한 투자 비중 확대에 의해 견인되고 있습니다.

본 조사는 업계 주요 관계자로부터 얻은 정보를 포함한 1차 정보와 2차 정보를 객관적으로 결합하여 수행되었습니다. 본 보고서에는 주요 기업에 대한 분석 외에도 종합적인 시장 규모 데이터, 지역별 분석이 포함된 부문별 데이터, 그리고 벤더 현황이 담겨 있습니다. 보고서에는 과거 데이터 및 예측 데이터가 포함되어 있습니다.

시장 범위
기준 연도 2025년
종료 연도 2030년
조사 기간 2026-2030년
성장 모멘텀 가속
2026년 전년 대비 24.8%
CAGR 29.9%
증가액 20억 7,270만 달러

본 조사에서는 자율적인 의사결정 조정을 위한 에이전틱 AI의 도입 확대가 향후 수년간 전 세계 에너지 및 유틸리티 분야 응용 AI 시장 성장을 견인할 주요 요인 중 하나라고 지적하고 있습니다. 또한, 공공사업 운영 전반에 걸친 디지털 트윈 도입 확대와 AI를 활용한 대화 모델을 통한 에너지 고객과의 상호작용 방식의 진화 역시 시장에서 상당한 수요를 창출할 것으로 전망됩니다.

목차

제1장 주요 요약

제2장 Technavio 분석

제3장 시장 구도

제4장 시장 규모

제5장 시장 규모 실적

제6장 정성 분석

제7장 Five Forces 분석

제8장 시장 세분화 : 전개별

제9장 시장 세분화 : 용도별

제10장 시장 세분화 : 기술별

제11장 고객 상황

제12장 지역별 상황

제13장 촉진요인, 과제, 기회

제14장 경쟁 구도

제15장 경쟁 분석

제16장 부록

KSM 26.10.15

The global applied AI in energy and utilities market is forecasted to grow by USD 2072.7 mn during 2025-2030, accelerating at a CAGR of 29.9% during the forecast period. The report on the global applied AI in energy and utilities market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by growing electricity demand from digitalized economies, advancing renewable energy integration requirements, expanding investment focus on operational efficiency and asset optimization.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202624.8%
CAGR29.9%
Incremental Value$2072.7 mn

Technavio's global applied AI in energy and utilities market is segmented as below:

By Deployment

  • Cloud-based
  • On-premises

By Application

  • Renewables management
  • Demand forecasting
  • Grid management
  • Energy management and optimization
  • Others

By Technology

  • Machine learning
  • Predictive analytics
  • Deep learning
  • Computer vision
  • Others

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • Spain
    • Italy
    • The Netherlands
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Rest of World (ROW)

This study identifies the growing adoption of agentic AI for autonomous decision orchestration as one of the prime reasons driving the global applied AI in energy and utilities market growth during the next few years. Also, scaling digital twin deployment across utility operations and evolving energy customer engagement through AI-driven interaction models will lead to sizable demand in the market.

The report on the global applied AI in energy and utilities market covers the following areas:

  • Global applied AI in energy and utilities market sizing
  • Global applied AI in energy and utilities market forecast
  • Global applied AI in energy and utilities market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global applied AI in energy and utilities market vendors that include ABB Ltd., Amazon Web Services Inc., Aspen Technology Inc., Baker Hughes Co., Bidgely Inc., C3.AI Inc., Fractal Analytics Ltd, GE Vernova Inc., Google LLC, Honeywell International Inc., IBM Corp., Itron Inc., Landis Gyr AG, Microsoft Corp., Oracle Corp., Schlumberger Ltd., Schneider Electric SE, Siemens AG, Stem Inc., Uplight Inc., Veritone Inc.. Also, the global applied AI in energy and utilities market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Market Segmentation by Technology
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2025
  • 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

  • 5.1 Global Applied AI In Energy And Utilities Market 2020 - 2024
    • Historic Market Size - Data Table on Global Applied AI In Energy And Utilities Market 2020 - 2024 ($ million)
  • 5.2 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.3 Application segment analysis 2020 - 2024
    • Historic Market Size - Application Segment 2020 - 2024 ($ million)
  • 5.4 Technology segment analysis 2020 - 2024
    • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
  • 5.5 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.6 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of geopolitical conflicts on global applied AI in energy and utilities market

7 Five Forces Analysis

  • 7.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 7.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 7.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 7.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 7.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 7.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 7.7 Market condition

8 Market Segmentation by Deployment

  • 8.1 Market segments
  • 8.2 Comparison by Deployment
  • 8.3 Cloud-based - Market size and forecast 2025-2030
  • 8.4 On-premises - Market size and forecast 2025-2030
  • 8.5 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

  • 9.1 Market segments
  • 9.2 Comparison by Application
  • 9.3 Renewables management - Market size and forecast 2025-2030
  • 9.4 Demand forecasting - Market size and forecast 2025-2030
  • 9.5 Grid management - Market size and forecast 2025-2030
  • 9.6 Energy management and optimization - Market size and forecast 2025-2030
  • 9.7 Others - Market size and forecast 2025-2030
  • 9.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

10 Market Segmentation by Technology

  • 10.1 Market segments
  • 10.2 Comparison by Technology
  • 10.3 Machine learning - Market size and forecast 2025-2030
  • 10.4 Predictive analytics - Market size and forecast 2025-2030
  • 10.5 Deep learning - Market size and forecast 2025-2030
  • 10.6 Computer vision - Market size and forecast 2025-2030
  • 10.7 Others - Market size and forecast 2025-2030
  • 10.8 Market opportunity by Technology
    • Market opportunity by Technology ($ million)

11 Customer Landscape

  • 11.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

  • 12.1 Geographic segmentation
  • 12.2 Geographic comparison
  • 12.3 North America - Market size and forecast 2025-2030
    • 12.3.1 US - Market size and forecast 2025-2030
    • 12.3.2 Canada - Market size and forecast 2025-2030
    • 12.3.3 Mexico - Market size and forecast 2025-2030
  • 12.4 APAC - Market size and forecast 2025-2030
    • 12.4.1 China - Market size and forecast 2025-2030
    • 12.4.2 India - Market size and forecast 2025-2030
    • 12.4.3 Japan - Market size and forecast 2025-2030
    • 12.4.4 South Korea - Market size and forecast 2025-2030
    • 12.4.5 Australia - Market size and forecast 2025-2030
    • 12.4.6 Indonesia - Market size and forecast 2025-2030
  • 12.5 Europe - Market size and forecast 2025-2030
    • 12.5.1 Germany - Market size and forecast 2025-2030
    • 12.5.2 UK - Market size and forecast 2025-2030
    • 12.5.3 France - Market size and forecast 2025-2030
    • 12.5.4 Spain - Market size and forecast 2025-2030
    • 12.5.5 Italy - Market size and forecast 2025-2030
    • 12.5.6 The Netherlands - Market size and forecast 2025-2030
  • 12.6 Middle East and Africa - Market size and forecast 2025-2030
    • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
    • 12.6.2 UAE - Market size and forecast 2025-2030
    • 12.6.3 South Africa - Market size and forecast 2025-2030
    • 12.6.4 Israel - Market size and forecast 2025-2030
    • 12.6.5 Turkey - Market size and forecast 2025-2030
  • 12.7 South America - Market size and forecast 2025-2030
    • 12.7.1 Brazil - Market size and forecast 2025-2030
    • 12.7.2 Argentina - Market size and forecast 2025-2030
    • 12.7.3 Colombia - Market size and forecast 2025-2030
  • 12.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

  • 13.1 Market drivers
    • Growing electricity demand from digitalized economies
    • Advancing renewable energy integration requirements
    • Expanding investment focus on operational efficiency and asset optimization
  • 13.2 Market challenges
    • Legacy infrastructure integration barriers
    • Cybersecurity and data governance risks
    • Workforce capability and organizational readiness gaps
  • 13.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 13.4 Market opportunities
    • Growing adoption of agentic AI for autonomous decision orchestration
    • Scaling digital twin deployment across utility operations
    • Evolving energy customer engagement through AI-driven interaction models

14 Competitive Landscape

  • 14.1 Overview
  • 14.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 14.3 Landscape disruption
    • Overview on factors of disruption
  • 14.4 Industry risks
    • Impact of key risks on business

15 Competitive Analysis

  • 15.1 Companies profiled
    • Companies covered
  • 15.2 Company ranking index
    • Company ranking index
  • 15.3 Market positioning of companies
    • Matrix on companies position and classification
  • 15.4 ABB Ltd.
    • ABB Ltd. - Overview
    • ABB Ltd. - Business segments
    • ABB Ltd. - Key news
    • ABB Ltd. - Key offerings
    • ABB Ltd. - Segment focus
    • SWOT
  • 15.5 Amazon Web Services Inc.
    • Amazon Web Services Inc. - Overview
    • Amazon Web Services Inc. - Product / Service
    • Amazon Web Services Inc. - Key offerings
    • SWOT
  • 15.6 Baker Hughes Co.
    • Baker Hughes Co. - Overview
    • Baker Hughes Co. - Business segments
    • Baker Hughes Co. - Key news
    • Baker Hughes Co. - Key offerings
    • Baker Hughes Co. - Segment focus
    • SWOT
  • 15.7 GE Vernova Inc.
    • GE Vernova Inc. - Overview
    • GE Vernova Inc. - Business segments
    • GE Vernova Inc. - Key offerings
    • GE Vernova Inc. - Segment focus
    • SWOT
  • 15.8 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key news
    • Google LLC - Key offerings
    • SWOT
  • 15.9 Honeywell International Inc.
    • Honeywell International Inc. - Overview
    • Honeywell International Inc. - Business segments
    • Honeywell International Inc. - Key news
    • Honeywell International Inc. - Key offerings
    • Honeywell International Inc. - Segment focus
    • SWOT
  • 15.10 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 15.11 Itron Inc.
    • Itron Inc. - Overview
    • Itron Inc. - Business segments
    • Itron Inc. - Key news
    • Itron Inc. - Key offerings
    • Itron Inc. - Segment focus
    • SWOT
  • 15.12 Landis Gyr AG
    • Landis Gyr AG - Overview
    • Landis Gyr AG - Product / Service
    • Landis Gyr AG - Key offerings
    • SWOT
  • 15.13 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 15.14 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 15.15 Schlumberger Ltd.
    • Schlumberger Ltd. - Overview
    • Schlumberger Ltd. - Business segments
    • Schlumberger Ltd. - Key news
    • Schlumberger Ltd. - Key offerings
    • Schlumberger Ltd. - Segment focus
    • SWOT
  • 15.16 Schneider Electric SE
    • Schneider Electric SE - Overview
    • Schneider Electric SE - Business segments
    • Schneider Electric SE - Key news
    • Schneider Electric SE - Key offerings
    • Schneider Electric SE - Segment focus
    • SWOT
  • 15.17 Siemens AG
    • Siemens AG - Overview
    • Siemens AG - Business segments
    • Siemens AG - Key news
    • Siemens AG - Key offerings
    • Siemens AG - Segment focus
    • SWOT
  • 15.18 Stem Inc.
    • Stem Inc. - Overview
    • Stem Inc. - Product / Service
    • Stem Inc. - Key offerings
    • SWOT

16 Appendix

  • 16.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 16.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 16.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 16.4 Research methodology
    • Research methodology
  • 16.5 Data procurement
    • Information sources
  • 16.6 Data validation
    • Data validation
  • 16.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 16.8 Data synthesis
    • Data synthesis
  • 16.9 360 degree market analysis
    • 360 degree market analysis
  • 16.10 List of abbreviations
    • List of abbreviations
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