The global market for Artificial Intelligence in Energy was valued at US$9.8 Billion in 2024 and is projected to reach US$40.9 Billion by 2030, growing at a CAGR of 26.8% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Artificial Intelligence in Energy market.
Segments: Component (Solutions Component, Services Component); Application (Renewables Management Application, Demand Forecasting Application, Safety & Security Application, Robotics Application, Other Applications); End-Use (Utilities End-Use, Energy Generation End-Use, Energy Transmission End-Use, Energy Distribution End-Use).
Geographic Regions/Countries: World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Artificial Intelligence in Energy Market - Key Trends and Drivers Summarized
How Is AI Transforming Energy Management?
Artificial intelligence (AI) is reshaping the energy sector by introducing unprecedented efficiency, precision, and adaptability to energy management. AI-powered systems enable real-time monitoring and optimization of energy consumption across various sectors, from industrial facilities to residential homes. Predictive analytics, a cornerstone of AI, allows utilities to forecast energy demand with high accuracy, reducing waste and ensuring a reliable supply. For renewable energy, AI plays a critical role in addressing intermittency issues by predicting weather patterns and optimizing the integration of solar and wind energy into the grid. Additionally, AI-driven automation has streamlined energy trading in markets, enabling companies to make data-informed decisions for purchasing and selling energy. As the global energy demand grows and sustainability becomes a priority, AI has become a vital tool for achieving energy efficiency and reducing carbon emissions.What Role Does AI Play in Renewable Energy Optimization?
The adoption of renewable energy sources like solar and wind has surged, but their variability poses challenges for grid stability. AI is revolutionizing renewable energy optimization by offering advanced solutions to these issues. Machine learning algorithms process vast amounts of data from weather forecasts, energy output, and consumption patterns to predict and balance energy supply and demand. For instance, AI optimizes the placement and operation of wind turbines by analyzing wind speeds and directions. In solar energy, AI enhances the efficiency of photovoltaic systems by identifying performance issues and adjusting parameters to maximize output. Moreover, AI enables virtual power plants (VPPs), which aggregate distributed energy resources and optimize their use to maintain grid stability. By ensuring that renewable energy systems operate at peak efficiency, AI is accelerating the transition toward a sustainable and resilient energy future.How Are Advanced Applications of AI Redefining the Energy Sector?
AI applications are extending beyond traditional energy management and renewable energy optimization, creating transformative impacts across the sector. Smart grids powered by AI can self-heal, identifying faults and rerouting power automatically to prevent outages. In oil and gas, AI assists in exploration by analyzing geological data to locate resources with higher precision, reducing operational costs and environmental risks. Energy storage systems, critical for managing renewable energy, benefit from AI in predicting battery performance and enhancing energy storage efficiency. Additionally, AI-enabled demand response systems adjust energy usage during peak times, lowering costs for consumers and reducing stress on the grid. As cities embrace smart infrastructure, AI is integral to designing systems that integrate energy generation, distribution, and consumption seamlessly. These applications underscore AI's ability to tackle complex challenges and drive innovation across the energy ecosystem.What Drives the Growth in the AI in Energy Market?
The growth in the AI in energy market is driven by several factors, including advancements in AI algorithms, increasing adoption of renewable energy, and the growing need for efficient energy systems. The rising integration of IoT devices in energy infrastructure has provided access to real-time data, which AI systems use to optimize operations. As governments enforce stringent regulations to reduce greenhouse gas emissions, utilities are leveraging AI to meet compliance requirements while maintaining operational efficiency. In renewable energy, the push for grid decarbonization and the proliferation of distributed energy resources have heightened the demand for AI-based optimization solutions. The increasing focus on smart cities and sustainable urban development has also spurred investment in AI-driven energy systems. Furthermore, the decline in the cost of AI technologies and cloud computing has made these solutions more accessible, encouraging widespread adoption across industries. These factors collectively highlight the pivotal role of AI in shaping the future of energy systems worldwide.Report Scope
The report analyzes the Artificial Intelligence in Energy market, presented in terms of units. The analysis covers the key segments and geographic regions outlined below.Segments: Component (Solutions Component, Services Component); Application (Renewables Management Application, Demand Forecasting Application, Safety & Security Application, Robotics Application, Other Applications); End-Use (Utilities End-Use, Energy Generation End-Use, Energy Transmission End-Use, Energy Distribution End-Use).
Geographic Regions/Countries: World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Renewables Management Application segment, which is expected to reach US$15.2 Billion by 2030 with a CAGR of a 31.2%. The Demand Forecasting Application segment is also set to grow at 23.8% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $2.9 Billion in 2024, and China, forecasted to grow at an impressive 29.7% CAGR to reach $6.6 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence in Energy Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence in Energy Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence in Energy Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as ABB Ltd., Alpiq Holding Ltd., AppOrchid Inc., C3.ai Inc., Datategy and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 92 companies featured in this Artificial Intelligence in Energy market report include:
- ABB Ltd.
- Alpiq Holding Ltd.
- AppOrchid Inc.
- C3.ai Inc.
- Datategy
- Enel Spa
- eSmart Systems
- FlexGen Power Systems, Inc.
- Grid4C
- GridBeyond
- Hazama Ando Corporation
- Innowatts, Inc.
- iRasus Technologies Private Limited
- Ndustrial.io, Inc.
- Omdena, Inc.
- Schneider Electric SE
- Uplight, Inc.
- Vestas Wind Systems A/S
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What’s Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAJAPANCHINAFRANCEGERMANYITALYUNITED KINGDOMREST OF EUROPEASIA-PACIFICREST OF WORLDIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
EUROPE
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB Ltd.
- Alpiq Holding Ltd.
- AppOrchid Inc.
- C3.ai Inc.
- Datategy
- Enel Spa
- eSmart Systems
- FlexGen Power Systems, Inc.
- Grid4C
- GridBeyond
- Hazama Ando Corporation
- Innowatts, Inc.
- iRasus Technologies Private Limited
- Ndustrial.io, Inc.
- Omdena, Inc.
- Schneider Electric SE
- Uplight, Inc.
- Vestas Wind Systems A/S
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 589 |
| Published | April 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 9.8 Billion |
| Forecasted Market Value ( USD | $ 40.9 Billion |
| Compound Annual Growth Rate | 26.8% |
| Regions Covered | Global |
