AI In Energy Market Size, Share & Trends Analysis Report By Type (Solutions, Services), By Application (Renewable Energy Management, Demand Forecasting, Safety Security & Infrastructure), By Region, And Segment Forecasts, 2024 - 2030

AI In Energy Market Size & Trends

The global AI in energy market size was valued at USD 8.75 billion in 2023 and is expected to grow at a CAGR of 30.1% from 2024 to 2030. The increasing demand for energy efficiency and sustainability is propelling companies to adopt artificial technology (AI) technologies that optimize energy management and enhance operational efficiencies. AI applications, including predictive analytics, machine learning, and deep learning, enable energy firms to analyze vast datasets from smart meters and IoT devices, improving decision-making processes related to grid management and renewable energy integration.

Regulatory pressures for sustainability are compelling organizations to innovate and implement AI-driven solutions that address operational challenges while reducing carbon footprints. The rise of decentralized energy systems and smart grids further facilitates the adoption of AI, allowing for better load forecasting and resource allocation. Consequently, strategic collaborations among industry players are becoming essential for leveraging technological synergies and expanding market reach, thereby solidifying AI's role as a transformative force in the energy sector

Drivers, Opportunities & Restraints

A primary driver is the increasing integration of AI technologies with smart grids, which improves load forecasting, demand response, and predictive maintenance, thereby enhancing grid reliability and reducing operational costs. The need to modernize aging infrastructure and accommodate the growing share of renewable energy sources also propels market expansion, as AI helps manage the intermittency of renewables like solar and wind.

The global market presents numerous opportunities driven by technological advancements and increasing demand for efficiency and sustainability. With the proliferation of IoT devices and big data analytics, energy companies can harness vast datasets to optimize operations, enhance predictive maintenance, and improve energy management systems.

A significant challenge is the high initial investment required for adopting AI technologies, which can be prohibitive for many energy companies, especially those operating in regions with limited financial resources. The complexity of integrating AI systems into existing infrastructure also poses difficulties; many energy systems are built on outdated technologies that require substantial upgrades to accommodate AI solutions.

Type Insights

Solutions led the market with the largest revenue share of 71.78% in 2023. Artificial Intelligence (AI) solutions in the energy market are experiencing rapid growth, driven by the increasing demand for efficiency and sustainability in energy management. Key applications of AI include predictive maintenance, smart grid management, and optimization of renewable energy sources, which enhance operational efficiencies and reduce costs across various sectors such as energy generation, transmission, and distribution.

Major players are heavily investing in AI technologies to improve grid performance and facilitate the integration of renewable energy into existing infrastructures. Additionally, regulatory pressures for sustainability are prompting companies to adopt AI-driven solutions, making the technology essential for modernizing the energy landscape and addressing challenges related to increasing energy demand and climate change.

Application Insights

Renewable energy management led the market with the largest revenue share of 28.89% in 2023. The integration of Artificial Intelligence (AI) in renewable energy management is revolutionizing how energy is produced, distributed, and consumed. AI technologies enhance the efficiency and reliability of renewable energy systems by optimizing operations for solar panels, wind turbines, and other sources. These solutions leverage advanced predictive analytics to forecast energy generation based on weather patterns and historical data, allowing for better alignment of supply with demand.

The increasing adoption of renewable energy sources, such as solar and wind power, is fueling the need for Robotics Power Rentals in substations and switchgear Types. These bushings are designed to provide superior insulation and withstand high electrical stresses while occupying a minimal footprint. The trend toward compact and modular electrical application is further propelling the growth of robotics AI in energy market, as these bushings enable the integration of advanced features and functionalities into space-constrained applications.

Regional Insights

North America AI in energy market is driven by significant technological advancements and a strong focus on renewable energy integration. Major utility companies are investing in AI technologies to optimize energy distribution, improve outage response times, and facilitate the transition to cleaner energy sources. Additionally, government initiatives aimed at promoting sustainability and reducing carbon emissions further encourage the adoption of AI-driven solutions.

U.S. AI In Energy Market Trends

The AI in energy market in the U.S. is primarily fueled by the increasing demand for efficiency, sustainability, and advanced technological integration. As the energy sector shifts toward renewable sources, AI plays a crucial role in optimizing energy generation and distribution, particularly in managing the variability of renewable energy supply.

Asia Pacific AI In Energy Market Trends

The AI in energy market in Asia Pacific accounted for the largest revenue share of over 40.92% in 2023. The Asia Pacific region is at the forefront of integrating Artificial Intelligence (AI) solutions within the energy market, driven by a combination of rapid industrialization, urbanization, and a pressing need for sustainable energy management. Countries such as China and India are leading this transformation, leveraging AI to optimize renewable energy generation, enhance grid management, and improve predictive maintenance.

China AI in energy market is propelled by several key factors, including the government's commitment to advancing renewable energy and achieving carbon neutrality. The integration of AI with emerging technologies such as big data analytics and the Internet of Things enhances operational efficiency and enables smarter energy management, particularly in optimizing power grid investments. National policies, like the New Generation Artificial Intelligence Development Plan, support the development of AI across various sectors, including energy, fostering innovation and investment.

The AI in energy market in Japan is growing as government initiatives aimed at reducing carbon emissions and promoting smart city developments further foster the adoption of AI in the energy sector. Additionally, Japan's focus on integrating advanced technologies, such as IoT and big data analytics, enables real-time monitoring and decision-making, which are essential for managing the complexities of modern energy systems. This proactive approach not only supports Japan's transition to a low-carbon economy but also positions it as a leader in the development and implementation of innovative AI-driven energy solutions.

Europe AI In Energy Market Trends

The AI in energy market in Europe is largely influenced by a strong commitment to sustainability and stringent regulatory frameworks aimed at reducing carbon emissions. European countries are actively adopting AI technologies to enhance energy efficiency and facilitate the integration of renewable energy sources into their grids. Government initiatives and policies promoting clean energy are significant motivators for investment in AI-driven solutions, enabling utilities to optimize operations, improve grid flexibility, and manage demand more effectively.

Germany AI in energy market is characterized by a strong focus on sustainability and innovation through the integration of Artificial Intelligence (AI) solutions. The country is leveraging AI to enhance various aspects of its energy system, including predictive maintenance, operational optimization, and real-time demand forecasting, which are crucial for managing the increasing share of renewable energy sources.

The AI in energy market in the UK is driven by several key factors, including the urgent need for sustainability and the transition to renewable energy sources. As the UK aims to reduce carbon emissions and achieve net-zero targets, AI technologies are increasingly being adopted to optimize energy generation, enhance grid management, and improve demand forecasting.

Central & South America AI In Energy Market Trends

The AI in energy market in Central and South America is gaining momentum, driven by the region's commitment to renewable energy integration and grid modernization. Countries like Brazil and Argentina are leveraging AI to optimize the generation and distribution of clean energy sources, such as solar and wind power. AI-powered predictive maintenance and demand forecasting tools are enhancing operational efficiency and reliability across energy infrastructures.

Middle East & Africa AI In Energy Market Trends

The energy market in the Middle East and Africa is increasingly adopting Artificial Intelligence (AI) solutions, driven by the need for improved efficiency, sustainability, and enhanced operational capabilities. In the Middle East, countries are leveraging AI to optimize the production and management of renewable energy sources, particularly solar and wind, while also enhancing traditional oil and gas operations through predictive maintenance and real-time data analytics.

Key AI In Energy Company Insights

The AI in energy market is dominated by major players investing heavily in research and development to advance their AI capabilities. Key companies include Siemens AG, General Electric, Schneider Electric, ABB, Amazon Web Services, and Atos SE. These players are focusing on developing innovative solutions that leverage predictive analytics, machine learning algorithms, and IoT integration to enhance operational efficiencies across the energy value chain.

Recent Developments

• In May 2024, Schneider Electric launched an AI-powered feature for its Wiser Home app, marking a significant advancement in home energy management. This feature enables optimized energy management for two major household power consumers—water heaters and electric vehicle chargers—through a single application. By utilizing predictive algorithms, the AI learns from user habits, real-time weather data, tariff information, and solar production capabilities to effectively shift energy loads.

• In April 2023, The United Nations Development Programme (UNDP) and IBM announced the development of new tools designed to enhance energy access forecasting and model energy equity. This collaboration, part of the IBM Sustainability Accelerator program, utilizes advanced technologies such as IBM Watsonx, IBM Cloud, and IBM Environmental Intelligence. These tools aim to support efforts in achieving equitable energy distribution and addressing the challenges faced by vulnerable populations regarding energy access.

AI In Energy Market Report Scope

Global AI In Energy Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI in energy market report on the basis of type, application, and region:

• Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Solutions

  • Services

• Application Outlook (Revenue, USD Million, 2018 - 2030)

  • Robotics

  • Renewable Energy Management

  • Demand Forecasting

  • Safety Security & Infrastructure

  • Others

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • Italy

    • Spain

    • France

    • Russia

  • Asia Pacific

    • China

    • India

    • Japan

    • Australia

  • Central & South America

    • Brazil

    • Argentina

  • Middle East & Africa

    • Saudi Arabia

    • South Africa

    • UAE