Quantum Computing in Energy and Utility Market Report 2026

The quantum computing in energy and utility market size has grown strongly in recent years. It will grow from $17.74 billion in 2025 to $19.17 billion in 2026 at a compound annual growth rate (CAGR) of 8%. The growth in the historic period can be attributed to increasing digitalisation of energy infrastructure, rising demand for advanced simulation tools, growing focus on renewable energy optimisation, rising investment in quantum research programs, increasing need for complex grid management solutions.

The quantum computing in energy and utility market size is expected to see strong growth in the next few years. It will grow to $25.84 billion in 2030 at a compound annual growth rate (CAGR) of 7.8%. The growth in the forecast period can be attributed to growing adoption of quantum-enabled optimisation systems, increasing demand for carbon-free energy modelling, rising integration of quantum cloud platforms, expansion of quantum-based energy trading applications, growing need for high-precision energy forecasting. Major trends in the forecast period include advancements in quantum hardware stability, rising development of hybrid quantum-classical systems, growing research in quantum cybersecurity for utilities, expansion of quantum digital twin applications, increasing innovation in quantum simulation for material discovery.

The growing demand for advanced optimization in energy systems is expected to drive the growth of the quantum computing in energy and utility market going forward. Advanced optimization in energy systems involves the use of sophisticated computational methods to enhance decision-making, efficiency, scheduling, and resource allocation across power generation, transmission, storage, and grid operations. Energy system operators are facing increasing complexity as they must balance real-time supply and demand, integrate variable renewable energy sources such as solar and wind, and manage equipment limitations and grid constraints. Quantum computing in energy and utilities supports advanced optimization by enabling the development of quantum algorithms and computing frameworks capable of solving complex, high-dimensional optimization problems more efficiently than classical computing, thereby improving system efficiency and resilience. For example, in March 2025, according to the International Renewable Energy Agency (IRENA), a UAE-based intergovernmental organization, global renewable power capacity additions reached approximately 582 GW, representing a 19.8% increase compared to 2023. Therefore, the increasing need for advanced optimization in energy systems is driving the growth of the quantum computing in energy and utility market.

Major companies operating in the quantum computing in energy and utility market are concentrating on the development of advanced commercial solutions, such as general-purpose quantum computing platforms, to speed up complex optimization tasks, improve forecasting accuracy, and support data-intensive simulations across power generation, grid management, and energy trading. General-purpose quantum computing platforms are high-performance systems built to run hybrid classical-quantum workflows, enabling organizations to address computationally demanding problems that are difficult or time-consuming for traditional computing architectures. For example, in November 2025, Quantinuum, a US-based quantum computing company, introduced the Helios Quantum Computer. This commercial system delivers industry-leading physical and logical qubit performance and is supported by a modern, scalable programming stack that allows seamless integration with classical computing resources. Helios is designed to accelerate hybrid optimization workflows and advanced simulations relevant to energy system optimization, complex network planning, and long-term demand forecasting, providing energy and utility organizations with a scalable and efficient platform to tackle highly complex analytical challenges and enhance strategic decision-making across operations and planning.

In January 2025, IonQ, a US-based quantum computing company, acquired Qubitekk Inc. for an undisclosed amount. With this acquisition, IonQ aims to strengthen its quantum networking infrastructure and accelerate the development of distributed quantum computing systems. The transaction is intended to expand IonQ’s capabilities in quantum communication, entanglement distribution, and networked quantum architectures, reinforcing its position within the rapidly evolving quantum computing and networking ecosystem. Qubitekk Inc. is a US-based quantum networking company that provides quantum computing solutions for energy and utility applications.

Major companies operating in the quantum computing in energy and utility market are Google LLC, Microsoft Corporation, International Business Machines Corporation, Fujitsu Limited, Atos SE, IonQ Inc., PsiQuantum Corporation, IQM Quantum Computers Oy, Xanadu Quantum Technologies Inc., QuEra Computing Inc., Multiverse Computing S.L., Q-CTRL Pty Ltd., 1QBit Information Technologies Inc., Zapata Computing Inc., Classiq Technologies Ltd., Rigetti Computing Inc., QC Ware Corp., D-Wave Quantum Inc., Quantum Computing Inc., Alpine Quantum Technologies GmbH.

North America was the largest region in the quantum computing in energy and utility market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the quantum computing in energy and utility market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the quantum computing in energy and utility market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are impacting the quantum computing in energy and utility market by increasing costs of imported quantum hardware components, cryogenic systems, advanced processors, and specialized control electronics required for research and deployment. energy utilities and technology providers in north america and europe are most affected due to reliance on globally sourced quantum hardware, while asia-pacific faces higher costs for export-oriented quantum infrastructure development. these tariffs are increasing pilot project costs and extending deployment timelines. however, they are also encouraging domestic quantum research initiatives, regional manufacturing of supporting components, and stronger public-private collaborations to build localized quantum ecosystems.

Quantum computing in energy and utilities refers to the use of quantum computers to address highly complex computational challenges in energy generation, distribution, and optimization that are difficult or impractical for classical computing systems. By leveraging quantum algorithms and qubits, this technology enables faster simulations, improved grid management, more efficient resource allocation, and enhanced predictive maintenance through high-speed, high-accuracy calculations. Quantum computing has the potential to transform energy modeling, optimize the integration of renewable energy sources, and lower operational costs across the energy sector.

The primary components of quantum computing in energy and utility include hardware, software, quantum algorithms, quantum development platforms, and services. Hardware refers to the physical quantum devices and components that perform computations and support the operation of quantum computing systems in the energy and utility sector. The deployment modes include cloud-based quantum computing, on-premise quantum infrastructure, and hybrid deployment. The technologies include quantum annealing, superconducting qubits, trapped ion quantum computing, photonic quantum computing, and topological quantum computing. The applications include energy grid optimization, renewable energy management, energy forecasting, molecular simulation, risk management, and battery and energy storage optimization.

The quantum computing in energy and utility market consists of sales of products such as quantum processors, quantum annealers, quantum software platforms, quantum simulators, quantum-enabled sensors, quantum networking devices, quantum cryptography hardware, and high-performance computing systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end. The quantum computing in energy and utility market consists of revenues earned by entities by providing services such as quantum algorithm development, quantum simulation and modeling, optimization of energy grids, predictive maintenance solutions, quantum-based risk analysis, consulting for quantum integration, cloud-based quantum computing access, and research and development support for energy and utility applications. The market value includes the value of related goods sold by the service provider or included within the service offering. The industrial cloud computing market also includes sales of data servers, storage systems, networking hardware, industrial gateways, edge devices, sensors, ruggedized tablets, industrial routers, on-premise cloud appliances, cooling systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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