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人工智能

人工智慧市場規模、佔有率及成長分析（能源領域，按組件、技術、應用、最終用途、部署類型和地區分類）－2026-2033年產業預測

市場調查報告書

商品編碼

1920981

人工智慧市場規模、佔有率及成長分析（能源領域，按組件、技術、應用、最終用途、部署類型和地區分類）－2026-2033年產業預測

Artificial Intelligence in Energy Market Size, Share, and Growth Analysis, By Component (Software, Hardware), By Technology (Machine Learning, Deep Learning), By Application, By End Use, By Deployment Type, By Region - Industry Forecast 2026-2033

出版日期: 2026年01月19日 | 出版商:

SkyQuest | 英文 191 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計到 2024 年，全球能源領域人工智慧市場規模將達到 87 億美元，到 2025 年將成長至 106.2 億美元，到 2033 年將成長至 524.8 億美元，在預測期（2026-2033 年）內複合年成長率為 22.1%。

全球能源產業正經歷著向人工智慧（AI）的顯著轉型，這主要受能源效率需求成長、電力消耗量擴大以及再生能源來源併網等因素的推動。電網現代化、營運最佳化以及對智慧電網和數位基礎設施的大規模投資是推動這一趨勢的關鍵因素。太陽能、風能和儲能技術的廣泛應用正在推動基於人工智慧的預測、平衡和預測性維護解決方案的發展。能源管理系統的日益複雜，以及電動車、資料中心和智慧城市的擴張，凸顯了智慧解決方案的必要性。然而，高昂的實施成本、資料品質問題、網路安全威脅以及專業人才短缺等挑戰，可能會在短期內阻礙市場成長。

全球人工智慧市場在能源領域的促進因素

全球能源人工智慧市場的主要促進因素之一是能源產業對提高營運效率和降低成本日益成長的需求。各公司正加速採用人工智慧技術，以最佳化能源消耗、加強預測性維護並改善電網管理。人工智慧的整合能夠實現即時數據分析，使能源供應商能夠做出明智的決策，從而提高生產力和可靠性。此外，對再生能源來源的日益關注以及對更智慧能源管理系統的需求，正在推動對人工智慧驅動型解決方案的投資，這對於向更永續的能源實踐轉型和實現氣候目標至關重要。

限制全球能源領域人工智慧市場的因素

全球能源領域人工智慧市場面臨的一大限制因素是高昂的初始投資和營運成本。許多能源公司，尤其是中小企業，面臨資金限制，難以採用先進的人工智慧解決方案。此外，將人工智慧系統與現有基礎設施整合的複雜性以及持續的維護和更新需求也令潛在用戶望而卻步。對隱私和資料安全的擔憂進一步加劇了人工智慧的普及應用，迫使企業在確保合規性的同時，還要應對人工智慧系統潛在的安全漏洞，最終導致整體市場成長放緩。

全球人工智慧市場在能源領域的趨勢

由於智慧電網和分散式能源管理系統的整合，全球能源領域的人工智慧市場正經歷顯著成長。隨著能源產業在再生能源來源引入的推動下向去中心化轉型，人工智慧技術正成為最佳化太陽能、風能、儲能資源以及電動車即時管理的關鍵工具。利用人工智慧實現公共產業營運自動化，不僅能提高效率，還能增強其應對極端天氣事件的能力。此外，人們對電網穩定性的日益關注，以及可再生能源的廣泛應用，進一步推動了對人工智慧解決方案的需求，為這個充滿活力的市場創造了大量的創新和擴張機會。

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 墨西哥
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2023-2025年營收年比比較

主要企業簡介

IBM
Siemens
General Electric
Schneider Electric
ABB
Microsoft
Google
Oracle
SAP
NVIDIA
Hitachi
Honeywell
C3 AI
Palantir Technologies
AutoGrid
Uptake Technologies
SparkCognition
Enel X
Emerson Electric
Baker Hughes

結論與建議

簡介目錄

Product Code: SQMIG35I2499

Global Artificial Intelligence in Energy Market size was valued at USD 8.7 billion in 2024 and is poised to grow from USD 10.62 billion in 2025 to USD 52.48 billion by 2033, growing at a CAGR of 22.1% during the forecast period (2026-2033).

The global energy sector is witnessing a significant shift towards artificial intelligence driven by the increasing demand for energy efficiency, rising electricity consumption, and the integration of renewable energy sources. Key factors propelling this trend include the modernization of grids, a focus on operational optimization, and substantial investments in smart grids and digital infrastructure. The proliferation of solar, wind, and energy storage technologies is fostering AI-based solutions for forecasting, balancing, and predictive maintenance. As electric vehicles, data centers, and smart cities expand, the complexity of energy management systems intensifies, highlighting the necessity for intelligent solutions. However, challenges such as high implementation costs, data quality issues, cybersecurity threats, and a shortage of skilled professionals may impede market growth in the foreseeable future.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence in Energy market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence in Energy Market Segments Analysis

Global Artificial Intelligence in Energy Market is segmented by Component, Technology, Application, End Use, Deployment Type and region. Based on Component, the market is segmented into Software, Hardware and Services. Based on Technology, the market is segmented into Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Based on Application, the market is segmented into Energy Management, Predictive Maintenance, Grid Optimization, Demand Forecasting and Renewable Energy Optimization. Based on End Use, the market is segmented into Power Generation, Transmission & Distribution, Oil & Gas and Utilities. Based on Deployment Type, the market is segmented into Cloud-based and On-premise. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence in Energy Market

One of the key market drivers for the Global Artificial Intelligence in Energy Market is the increasing demand for operational efficiency and cost reduction across energy sectors. Companies are increasingly adopting AI technologies to optimize energy consumption, enhance predictive maintenance, and improve grid management. The integration of AI enables real-time data analytics, allowing energy providers to make informed decisions that boost productivity and reliability. Additionally, the growing emphasis on renewable energy sources and the need for smarter energy management systems are fueling investments in AI-driven solutions, which are essential for transitioning to more sustainable energy practices and achieving climate goals.

Restraints in the Global Artificial Intelligence in Energy Market

A significant market restraint for the global artificial intelligence in energy market is the high initial investment and operational costs associated with implementing AI technologies. Many energy companies, especially smaller enterprises, face financial constraints that hinder their ability to adopt advanced AI solutions. Additionally, the complexity of integrating AI systems with existing infrastructure and the need for ongoing maintenance and updates can deter potential users. Privacy and data security concerns further complicate adoption, as companies must ensure compliance with regulations while addressing potential vulnerabilities in their AI-enabled systems, ultimately slowing down the overall market growth.

Market Trends of the Global Artificial Intelligence in Energy Market

The Global Artificial Intelligence in Energy market is witnessing significant growth driven by the integration of smart grids and distributed energy management systems. As the energy sector shifts towards decentralization, fueled by the adoption of renewable sources, AI technologies are emerging as indispensable tools for optimizing real-time management of solar, wind, and storage resources, as well as electric vehicles. The automation of utility operations using AI not only enhances efficiency but also strengthens resilience against extreme weather conditions. Additionally, the increasing focus on grid stability and the escalating penetration of renewables further bolster the demand for AI solutions, creating abundant opportunities for innovation and expansion in this dynamic market.

Introduction

Objectives of the Study
Market Definition & Scope

Research Methodology

Research Process
Secondary & Primary Data Methods
Market Size Estimation Methods

Executive Summary

Global Market Outlook
Key Market Highlights
Segmental Overview
Competition Overview

Market Dynamics & Outlook

Macro-Economic Indicators
Drivers & Opportunities
Restraints & Challenges
Supply Side Trends
Demand Side Trends
Porters Analysis & Impact
- Competitive Rivalry
- Threat of Substitute
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Key Success Factors
Market Impacting Factors
Top Investment Pockets
Ecosystem Mapping
Market Attractiveness Index, 2025
PESTEL Analysis
Value Chain Analysis
Pricing Analysis
Case Studies
Regulatory Landscape
Technology Assessment
Technology Assessment
Regulatory Landscape

Global Artificial Intelligence in Energy Market Size by Component & CAGR (2026-2033)

Market Overview
Software
Hardware
Services

Global Artificial Intelligence in Energy Market Size by Technology & CAGR (2026-2033)

Market Overview
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision

Global Artificial Intelligence in Energy Market Size by Application & CAGR (2026-2033)

Market Overview
Energy Management
Predictive Maintenance
Grid Optimization
Demand Forecasting
Renewable Energy Optimization

Global Artificial Intelligence in Energy Market Size by End Use & CAGR (2026-2033)

Market Overview
Power Generation
Transmission & Distribution
Oil & Gas
Utilities

Global Artificial Intelligence in Energy Market Size by Deployment Type & CAGR (2026-2033)

Market Overview
Cloud-based
On-premise

Global Artificial Intelligence in Energy Market Size & CAGR (2026-2033)

North America (Component, Technology, Application, End Use, Deployment Type)
- US
- Canada
Europe (Component, Technology, Application, End Use, Deployment Type)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Component, Technology, Application, End Use, Deployment Type)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Component, Technology, Application, End Use, Deployment Type)
- Mexico
- Brazil
- Rest of Latin America
Middle East & Africa (Component, Technology, Application, End Use, Deployment Type)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

IBM
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Electric
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Schneider Electric
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
ABB
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hitachi
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Honeywell
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
C3 AI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Palantir Technologies
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
AutoGrid
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Uptake Technologies
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SparkCognition
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Enel X
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Emerson Electric
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baker Hughes
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments