Artificial Intelligence (AI) in Renewable Energy Market Size, Share, and Trends 2025 to 2034

Artificial Intelligence (AI) in Renewable Energy Market Size and Forecast 2025 to 2034

The global artificial intelligence (AI) in renewable energy market size accounted for USD 16.19 billion in 2024 and is expected to exceed around USD 158.76 billion by 2034, growing at a CAGR of 25.65% from 2025 to 2034. The rising demand for artificial intelligence (AI) in renewable energy market has contributed to the growing need for modern energy systems and proactive fault detection to prevent failure and eliminate risks. AI offers precise forecasting, efficient supply management and coordination.

Artificial Intelligence (AI) in Renewable Energy Market Key Takeaways

• Asia Pacific dominated the global market with the largest market share of 49% in 2024.
• North America is projected to expand at the notable CAGR during the forecast period.
• By application, the demand forecasting segment contributed the highest market share in 2024.
• By application, the infrastructure segment is estimated to be the fastest-growing segment during the forecast period.
• By end use, the energy generation segment captured the biggest market share in 2024.
• By end use, the energy distribution segment is expected to grow at a significant CAGR from 2025 to 2034.

Asia Pacific Artificial Intelligence (AI) in Renewable Energy Market Size and Growth 2025 to 2034

The Asia Pacific artificial intelligence (AI) in renewable energy market size was exhibited at USD 7.93 billion in 2024 and is projected to be worth around USD 78.59 billion by 2034, growing at a CAGR of 25.78% from 2025 to 2034.

Asia-Pacific dominated the market with largest share in 2024. The countries of Asia-Pacific region such as India do not have enough electricity. The surge in demand for electricity is driving the growth of artificial intelligence (AI) in renewable energy market in Asia-Pacific region. In addition, the presence of major market players operating in artificial intelligence (AI) in renewable energy market are also contributing towards the growth of artificial intelligence (AI) in renewable energy market in Asia-Pacific region.

North America is expected to develop at the fastest rate during the forecast period. The growth of artificial intelligence (AI) in renewable energy market in North America region is being driven by growing utilization and adoption of artificial intelligence technologies and solutions across energy sector. Another factor boosting the growth of artificial intelligence (AI) in renewable energy market in the region is transformation or digitalization of energy sector. In addition, artificial intelligence is being adopted for smart home solutions. This factor is paving way for the expansion of artificial intelligence (AI) in renewable energy market in the North America.

Artificial Intelligence (AI) in Renewable Energy Market Growth Factors

• With growing demand for electricity and smart energy grids in particular regions driving the development and growth of artificial intelligence (AI) in renewable energy in the worldwide market. Additionally, digitalization contributes to the growth.
• Artificial intelligence has been profitable in identifying the hurdles of the energy sector which opens a path for new opportunities in the market in terms of, data gathering, analysing information, and streamlining the process.
• The rising demand for renewable energy is propelling the growth of global artificial intelligence (AI)in the renewable energy market for smart home solutions and in energy industries to cut down on electricity bills and energy wastage.
• A great government initiative is expanding the renewable energy sector, where the government are collaborating with several key players in the sector for the purpose of investing.
• The escalating priority for clean and green energy is increasing the adoption of artificial intelligence (AI) in the renewable energy market which is believed to help the environment by reducing the toxic gases coming from carbon emission and greenhouse gas emissions.

Market Scope

Application Insights

The demand forecasting segment led the market in 2024 with highest revenue share. The artificial intelligence is very efficient in nature as compared to other technologies. Due to this reason, the artificial intelligence is highly adopted for the improvement of this segment. The artificial intelligence as well as big data helps to manage and forecast the demand for renewable energy. Thus, this factor is directly impacting the growth of artificial intelligence (AI) in renewable energy market over the forecast period.

The infrastructure segment is expected to witness fastest growth in the forecast period. The growth of artificial intelligence (AI) in renewable energy market is being boosted by growing government fundings for infrastructural projects. In addition, government is taking constant efforts for the development of infrastructure. This factor is propelling the growth of the segment.

End Use Insights

The energy generation segment held largest revenue share in 2024. The main task in the utilities of renewable energy is energy generation. The demand for energy generation is being driven by the surge in demand for electricity in developing and developed regions. Thus, this factor is driving the growth of global artificial intelligence (AI) in renewable energy market during the forecast period.

The energy distribution segment is fastest growing segment of the AI in renewable energy market in 2024. The energy distribution is one of prominent task all around the globe. The government is taking efforts for the growth of this segment. This is directly driving the growth of global artificial intelligence (AI) in renewable energy market.

Key Developments

The global artificial intelligence (AI) in renewable energy market is moderately competitive in nature, with a significant number of small and medium sized companies accounting for the majority of sales. Companies have well equipped production facilities and engage in a variety of research and development initiatives and activities to develop and build new and more efficient technologies in the renewable energy industry.

Artificial Intelligence (AI) in Renewable Energy Market Companies

• Alpiq
• SmartCloud Inc.
• General Electric
• Siemens AG
• Hazama Ando Corporation
• ATOS SE
• AppOrchid Inc.
• Zen Robotics Ltd.
• Origami Energy Ltd.
• Flex Ltd.

Recent Development

• In November 2024, the UK government awarded £2 million to artificial intelligence (AI) solutions that have the potential to deliver a clean, secure energy future for the country. The innovators are working on developing solutions to decarbonise the energy grid and boost the UK’s energy security.
• In November 2024, at the United Nations Climate Change Conference of the Parties, IMB and Sustainable Energy for ALL collaborated and launched publicly available artificial intelligence-powered solutions for more sustainable urban development of cities and communities globally. This encourages the decision-makers and policymakers to map urbanisation and identify energy and infrastructure requirements for the communities within developing regions.
• In November 2023, Hitachi Energy introduced a new artificial intelligence-powered senergy forecasting solution – Nostradamus AI. This has the potential to leverage the company’s extensive energy market to provide utilities, power system operators, energy producers and traders with great precision forecasts for typical energy-specific usage.

Segments Covered in the Report

By Application

• Robotics
• Renewables Management
• Demand Forecasting
• Safety and Security
• Infrastructure

By End Use

• Energy Generation
• Energy Transmission
• Energy Distribution
• Utilities

By Deployment Type

• On-premise
• Cloud

By Geography

• North America
• U.S.
• Canada
• Europe
• U.K.
• Germany
• France
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Malaysia
• Philippines
• Latin America
• Brazil
• Rest of Latin America
• Middle East & Africa (MEA)
• GCC
• North Africa
• South Africa
• Rest of the Middle East & Africa