Quantum-Accelerated Risk Analytics Market 2025-2034

Report Description

This report is updated with the latest market data and insights as of June 2026. Base year: 2025  |  Forecast period: 2026-2034

Quantum-Accelerated Risk Analytics Market Outlook

According to our latest research, the global Quantum-Accelerated Risk Analytics market size reached USD 2.48 billion in 2025, with a robust compound annual growth rate (CAGR) of 32.4% projected through the forecast period. By 2034, the market is expected to attain a value of USD 29.8 billion, driven by the increasing adoption of quantum computing technologies in risk modeling, financial forecasting, and complex data analytics. The accelerated demand for advanced risk analytics solutions across industries such as BFSI, healthcare, energy, and government is propelling growth, as organizations seek to gain a competitive edge through rapid, high-accuracy data-driven decision-making.

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The primary growth factor for the Quantum-Accelerated Risk Analytics market is the exponential increase in data complexity and volume, which traditional computing systems struggle to process efficiently. Quantum computing's unparalleled ability to perform complex calculations and simulations in a fraction of the time required by classical systems is revolutionizing risk analytics. Financial institutions, for example, are leveraging quantum-accelerated models to optimize portfolios, assess credit and market risks, and detect fraud with unprecedented accuracy. Furthermore, as regulatory requirements become more stringent, organizations are compelled to adopt advanced risk analytics platforms to ensure compliance and minimize operational risks, further fueling market expansion. The intersection of quantum computing with real-time credit evaluation methodologies is already delivering measurable improvements in default prediction accuracy for leading financial institutions in 2025.

Another significant driver is the surge in cyber threats and the evolving landscape of digital fraud, which necessitates real-time, predictive risk analytics. Quantum-accelerated solutions can process vast datasets and identify subtle patterns indicative of fraudulent activity or security breaches, providing organizations with an essential tool to safeguard assets and maintain trust. The healthcare sector is also witnessing a transformation, as quantum-powered risk analytics enables more accurate predictions of patient outcomes, operational risks, and resource allocation, thereby improving service quality and reducing costs. The energy and utilities sector is leveraging these capabilities to forecast demand, assess infrastructural risks, and optimize grid management, highlighting the versatile applicability of quantum-accelerated risk analytics across the global economy.

Strategic investments and partnerships among technology providers, financial institutions, and research organizations are further catalyzing the growth of the Quantum-Accelerated Risk Analytics market. Leading companies are focusing on developing scalable quantum hardware and user-friendly software platforms tailored for risk analytics applications. Additionally, government initiatives and funding for quantum technology research, including the United States National Quantum Initiative and the European Union Quantum Flagship program, are fostering innovation and accelerating commercialization in 2025 and beyond. The growing availability of cloud-based quantum computing services is democratizing access to quantum-powered risk analytics, enabling even small and medium enterprises to harness these cutting-edge capabilities without significant upfront infrastructure investments.

Quantum-Assisted Weather Risk Analytics is emerging as a transformative application within the broader field of quantum-accelerated risk analytics. By leveraging the unparalleled computational power of quantum systems, organizations can now model and predict complex weather patterns with unprecedented accuracy. This capability is particularly valuable for industries such as agriculture, insurance, and energy, where weather-related risks can have significant financial and operational impacts. Quantum-assisted models can process vast datasets from multiple sources, including satellite imagery and historical weather data, to generate precise forecasts and risk assessments. As climate change continues to alter weather patterns globally, the demand for advanced analytics solutions that can mitigate weather-related risks is expected to grow substantially through the 2026-2034 forecast period.

Regionally, North America is at the forefront of the Quantum-Accelerated Risk Analytics market, accounting for the largest share in 2025, followed by Europe and Asia Pacific. The strong presence of leading quantum technology vendors, robust IT infrastructure, and high adoption rates in the BFSI and healthcare sectors are driving regional growth. Europe is rapidly catching up, buoyed by substantial public and private investments in quantum research and a thriving fintech ecosystem. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by the digital transformation of industries, government support for quantum initiatives, and the expansion of cloud-based analytics solutions. Latin America and the Middle East and Africa are also witnessing growing interest, albeit from a smaller base, as organizations recognize the long-term value proposition of quantum-accelerated risk analytics.

Component Analysis

The Quantum-Accelerated Risk Analytics market by component is segmented into hardware, software, and services, each playing a pivotal role in the ecosystem's evolution. Hardware holds approximately 38.5% of the market share in 2025 and is the backbone of quantum computing, encompassing quantum processors, qubits, and supporting infrastructure that enable the execution of complex risk analytics algorithms. The rapid advancements in quantum hardware, such as the development of error-corrected qubits and scalable quantum processors with higher coherence times, are significantly enhancing computational power and reliability. Major technology vendors including IBM, IonQ, and Quantinuum are investing heavily in research and development to overcome the current limitations of quantum hardware, including stability and error rates, thereby accelerating the commercialization of quantum-accelerated risk analytics solutions across the 2026-2034 forecast horizon.

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Software accounts for approximately 37.2% of the 2025 market and forms the critical layer that bridges quantum hardware with end-user applications. Quantum risk analytics software is designed to translate complex risk models into quantum algorithms, enabling organizations to leverage the unique capabilities of quantum computing for real-world risk assessment. The software segment is witnessing robust growth, driven by the increasing availability of quantum development kits, simulation platforms, and application-specific libraries from companies such as Classiq Technologies, QC Ware, and 1QBit. Vendors are focusing on enhancing interoperability between classical and quantum systems, allowing seamless integration with existing risk management workflows. The rise of open-source quantum software initiatives is also fostering innovation and lowering barriers to entry. Companies exploring advanced applications such as dynamic portfolio rebalancing powered by quantum algorithms are increasingly relying on this software layer to operationalize their strategies.

Services represent approximately 24.3% of the 2025 market and encompass consulting, integration, training, and support, which are essential for successful adoption and implementation of quantum-accelerated risk analytics. As organizations grapple with the complexity of quantum technologies, service providers such as Accenture and Atos play a crucial role in guiding clients through the assessment of use cases, development of proof-of-concepts, and deployment of customized solutions. The services segment is expected to witness significant growth through 2034, particularly as more enterprises embark on their quantum journey and require expert guidance to maximize the value of their investments. Managed services, including cloud-based quantum analytics offerings, are gaining traction, enabling organizations to access quantum-powered risk analytics without the need for in-house expertise or infrastructure.

The interplay between hardware, software, and services is shaping the competitive landscape of the Quantum-Accelerated Risk Analytics market. Vendors are increasingly adopting a holistic approach, offering integrated solutions that combine advanced hardware, user-friendly software, and comprehensive services to deliver end-to-end value. Strategic partnerships between hardware manufacturers, software developers, and consulting firms are becoming commonplace, as companies seek to address the diverse needs of clients across different industries and geographies. The component segment's evolution will continue to be influenced by technological breakthroughs, standardization efforts, and the growing maturity of the quantum technology ecosystem through the forecast period.

Report Scope

Application Analysis

The application landscape of the Quantum-Accelerated Risk Analytics market is diverse, encompassing credit risk, market risk, operational risk, portfolio optimization, fraud detection, and other specialized use cases. Credit risk analytics is one of the most prominent applications, particularly in the BFSI sector, where quantum-accelerated models enable more accurate assessment of borrower creditworthiness and default probabilities. By processing vast amounts of structured and unstructured data, quantum-powered solutions can uncover hidden risk factors and optimize lending decisions, reducing non-performing assets and improving profitability. The ability to simulate complex credit scenarios in real time is transforming traditional risk management practices and enabling proactive risk mitigation across retail and commercial banking in 2025.

Market risk analytics is another key application, as financial institutions and investment firms seek to navigate volatile markets and optimize trading strategies. Quantum-accelerated algorithms can analyze massive datasets, model intricate market dynamics, and simulate numerous potential outcomes, providing traders and risk managers with actionable insights for portfolio rebalancing and hedging. The convergence of quantum computing with AI-driven approaches to high-frequency trading risk is producing particularly powerful hybrid platforms in 2025. Enhanced computational power allows for the evaluation of multiple risk factors simultaneously, improving the accuracy and speed of value-at-risk (VaR) calculations and stress testing, which is particularly valuable in high-frequency trading environments where split-second decisions carry significant financial implications.

Operational risk analytics is gaining traction across industries, as organizations strive to identify, assess, and mitigate risks associated with internal processes, systems, and human factors. Quantum-accelerated solutions can model complex interdependencies and simulate the impact of operational disruptions, enabling organizations to develop robust risk mitigation strategies. In the healthcare sector, quantum-powered analytics can predict equipment failures, optimize resource allocation, and enhance patient safety. Similarly, in the energy and utilities sector, these solutions are used to assess infrastructure risks, forecast demand fluctuations, and ensure grid reliability. Comprehensive scenario-driven risk analytics frameworks are being enhanced significantly by quantum acceleration, allowing organizations to model thousands of simultaneous disruption pathways.

Portfolio optimization is a critical application area, particularly for asset managers and institutional investors seeking to maximize returns while minimizing risk. Quantum-accelerated algorithms can evaluate a vast array of asset combinations and constraints, identifying optimal portfolio allocations that would be computationally infeasible with classical systems. The ability to process and analyze large-scale financial data in real time is enabling more dynamic and responsive investment strategies, with quantum-enabled approaches to portfolio construction now transitioning from pilot programs to production deployments at several global asset managers. Fraud detection is another high-growth application, as organizations leverage quantum-powered analytics to identify anomalous patterns, detect fraudulent transactions, and prevent financial crimes with speed and accuracy that classical systems cannot replicate.

Other applications include regulatory compliance, scenario analysis, stress testing, and predictive maintenance, highlighting the versatility of quantum-accelerated risk analytics across sectors. As organizations continue to explore new use cases and expand their adoption of quantum technologies through the 2026-2034 forecast period, the application segment is expected to witness significant diversification and growth. The ability to tailor quantum-powered solutions to specific industry requirements will be a key differentiator for vendors in this rapidly evolving market.

Deployment Mode Analysis

The Quantum-Accelerated Risk Analytics market by deployment mode is segmented into on-premises and cloud solutions, each offering distinct advantages and addressing different organizational needs. On-premises deployment remains prevalent among large enterprises and highly regulated industries such as BFSI and government, where data security, privacy, and compliance are paramount. Organizations opting for on-premises solutions benefit from greater control over their quantum infrastructure, allowing them to tailor risk analytics platforms to their specific requirements and integrate with existing IT systems. However, the high upfront costs and technical complexity associated with deploying and maintaining quantum hardware pose significant challenges, limiting adoption primarily to organizations with substantial resources and established quantum expertise in 2025.

Cloud-based deployment is experiencing rapid growth, driven by the increasing availability of quantum-computing-as-a-service (QCaaS) offerings from leading technology vendors including IBM Quantum, Microsoft Azure Quantum, and Google Cloud Quantum AI. Cloud deployment enables organizations of all sizes to access quantum-accelerated risk analytics without the need for significant capital investments or specialized in-house talent. The scalability and flexibility of cloud solutions allow organizations to experiment with quantum technologies, develop proof-of-concepts, and scale production workloads as needed. Additionally, cloud providers are investing in robust security and compliance measures, addressing concerns related to data protection and regulatory requirements that previously inhibited adoption in regulated industries.

The growing adoption of hybrid deployment models is further shaping the market, as organizations seek to balance the benefits of on-premises and cloud solutions. Hybrid approaches enable organizations to leverage the computational power of cloud-based quantum systems for non-sensitive workloads while maintaining critical data and applications on-premises. This flexibility is particularly valuable for multinational organizations with diverse regulatory environments and varying risk tolerance levels. The rise of edge computing and the integration of quantum capabilities into distributed network architectures are also opening new possibilities for real-time, low-latency risk analytics deployments anticipated to gain momentum through the 2026-2034 forecast period.

The choice of deployment mode is influenced by several factors, including organizational size, industry vertical, regulatory environment, and IT maturity. Vendors are responding to these diverse needs by offering customizable deployment options, robust integration capabilities, and comprehensive support services. As quantum technologies mature and cloud-based offerings become more accessible and cost-competitive, the adoption of cloud and hybrid deployment models is expected to accelerate sharply, democratizing access to quantum-accelerated risk analytics and driving sustained market growth through 2034.

End-User Analysis

The end-user landscape of the Quantum-Accelerated Risk Analytics market is broad, encompassing sectors such as BFSI, healthcare, energy & utilities, government, IT & telecommunications, and others. The BFSI sector is the largest adopter in 2025, leveraging quantum-accelerated risk analytics to enhance credit risk assessment, optimize trading strategies, and detect fraud. Financial institutions are under increasing pressure to comply with stringent regulatory requirements, manage complex portfolios, and safeguard against cyber threats, making advanced risk analytics a strategic imperative. The ability to process massive datasets and simulate multiple risk scenarios in real time is transforming how banks and financial services firms manage risk. The growing focus on cyber risk quantification within financial services is further expanding the scope of quantum-accelerated analytics deployments in this sector.

The healthcare sector is rapidly embracing quantum-accelerated risk analytics to improve patient outcomes, optimize resource allocation, and manage operational risks. Hospitals and healthcare providers are leveraging quantum-powered solutions to predict patient readmissions, identify high-risk populations, and optimize treatment protocols. The ability to analyze complex biological data and simulate the impact of interventions is enabling more personalized and effective care delivery. Additionally, healthcare organizations are using quantum-accelerated analytics to enhance supply chain management, reduce costs, and ensure regulatory compliance in an increasingly complex operational environment.

The energy & utilities sector is another significant end-user, utilizing quantum-accelerated risk analytics to forecast demand, assess infrastructure risks, and optimize grid management. As the sector undergoes digital transformation and integrates renewable energy sources, the complexity of risk management increases substantially. Quantum-powered solutions enable utilities to model complex interdependencies, simulate the impact of extreme weather events, and develop robust risk mitigation strategies. The ability to process and analyze large-scale operational data in real time is critical for ensuring grid reliability, optimizing energy distribution, and minimizing operational disruptions through 2034.

Government agencies are leveraging quantum-accelerated risk analytics to enhance national security, manage public health risks, and optimize resource allocation across complex administrative systems. The ability to analyze vast datasets and simulate complex geopolitical and economic scenarios is enabling governments to develop more effective policies and respond proactively to emerging threats. The IT & telecommunications sector is also adopting quantum-powered risk analytics to enhance cybersecurity posture, optimize network management, and improve service quality. Other end-users, including manufacturing and retail, are exploring quantum-accelerated solutions to optimize supply chains, manage operational risks, and enhance strategic decision-making in competitive markets.

The diverse end-user landscape underscores the versatility and transformative potential of quantum-accelerated risk analytics. As organizations across sectors recognize the value of advanced risk analytics and increase their investment in quantum technologies, the market is expected to witness sustained growth and innovation through the 2026-2034 forecast period. Vendors that can tailor their solutions to the unique needs of different industries will be well-positioned to capture market share and drive long-term success.

Enterprise Size Analysis

The Quantum-Accelerated Risk Analytics market is segmented by enterprise size into small and medium enterprises (SMEs) and large enterprises, each exhibiting distinct adoption patterns and requirements. Large enterprises are currently the primary adopters of quantum-accelerated risk analytics in 2025, owing to their greater financial resources, sophisticated IT infrastructure, and higher risk exposure. These organizations are investing in dedicated quantum hardware, developing in-house expertise, and collaborating with technology vendors to develop customized risk analytics platforms. The ability to process vast amounts of data and simulate complex risk scenarios in real time is particularly valuable for large enterprises operating in highly regulated and competitive global environments.

Small and medium enterprises (SMEs) are increasingly recognizing the value of quantum-accelerated risk analytics, particularly as cloud-based solutions lower barriers to entry in 2025. The availability of quantum-computing-as-a-service (QCaaS) offerings enables SMEs to access advanced risk analytics capabilities without significant upfront investments in hardware or specialized talent. This democratization of quantum-powered analytics is leveling the playing field, allowing SMEs to compete more effectively with larger counterparts and make data-driven decisions with greater confidence. Vendors are responding to the needs of SMEs by offering scalable, user-friendly solutions, consumption-based pricing models, and comprehensive support services that reduce the technical expertise required for adoption.

The adoption of quantum-accelerated risk analytics among SMEs is also being driven by the increasing complexity of business operations and the growing importance of risk management in a volatile global environment. SMEs in sectors such as healthcare, energy, and retail are leveraging quantum-powered solutions to optimize resource allocation, enhance supply chain resilience, and mitigate operational risks. The ability to access real-time, predictive analytics is enabling SMEs to respond more effectively to market fluctuations, regulatory changes, and emerging competitive threats, improving both resilience and long-term growth prospects.

The enterprise size segment is expected to witness significant growth as more organizations, regardless of size, recognize the strategic value of quantum-accelerated risk analytics through the 2026-2034 forecast period. Vendors that can offer flexible pricing models, robust support, and tailored solutions for different enterprise sizes will be well-positioned to capture market share and drive adoption. As quantum technologies continue to mature and cloud-based offerings become more accessible and affordable, the adoption gap between large enterprises and SMEs is expected to narrow considerably, further accelerating overall market growth.

Opportunities & Threats

The Quantum-Accelerated Risk Analytics market presents significant opportunities for technology vendors, service providers, and end-users alike. One of the most promising opportunities lies in the development of industry-specific quantum-powered risk analytics solutions that address the unique challenges and requirements of sectors such as BFSI, healthcare, and energy. As organizations seek to gain a competitive edge through advanced risk management, vendors that can deliver tailored, high-value solutions will be well-positioned to capture market share. The growing availability of cloud-based quantum computing services is enabling even smaller organizations to experiment with and adopt quantum-accelerated analytics, democratizing access to cutting-edge technologies and expanding the total addressable market through 2034.

Another major opportunity is the integration of quantum-accelerated risk analytics with emerging technologies such as artificial intelligence (AI), machine learning, and generative AI. The convergence of these technologies has the potential to create powerful, holistic risk management platforms that deliver real-time, predictive insights and automate complex decision-making processes. Strategic partnerships between quantum technology providers, AI vendors, and industry stakeholders are driving innovation and accelerating the development of next-generation risk analytics solutions. Additionally, government initiatives and national quantum strategies worldwide are fostering a vibrant ecosystem of startups, research institutions, and established players, further fueling market growth and innovation across the 2026-2034 forecast period.

Despite the significant opportunities, the Quantum-Accelerated Risk Analytics market faces several restraining factors that could hinder adoption and growth. One of the primary challenges is the technical complexity and relative immaturity of quantum technologies, which require specialized expertise and significant investment to deploy effectively. The high upfront costs associated with quantum hardware and the limited global availability of quantum-skilled professionals are barriers for many organizations, particularly SMEs. Additionally, concerns related to data security, privacy, and regulatory compliance in cloud-based quantum environments may slow adoption, especially in heavily regulated industries such as BFSI and government. Vendors must address these challenges by investing in education and workforce development, developing more intuitive solution interfaces, and collaborating proactively with regulators to establish clear and workable guidelines for quantum-powered risk analytics deployments.

Regional Outlook

Regionally, North America dominates the Quantum-Accelerated Risk Analytics market, accounting for approximately USD 1.13 billion in 2025, driven by the strong presence of leading quantum technology vendors, robust IT infrastructure, and high adoption rates in the BFSI and healthcare sectors. The United States is at the forefront, with significant federal investments in quantum research through the National Quantum Initiative, a vibrant ecosystem of startups and established players, and a proactive regulatory environment encouraging innovation. Canada is also emerging as a key contributor, with government initiatives and academic research centers in Toronto, Waterloo, and Vancouver driving commercialization. The North America region is expected to maintain its leadership position through the forecast period, with a projected CAGR of 31.8% through 2034.

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Europe is the second-largest market, valued at approximately USD 705 million in 2025, and is experiencing rapid growth fueled by substantial public and private investments through the EU Quantum Flagship initiative and a thriving fintech ecosystem. Countries such as the United Kingdom, Germany, France, and the Netherlands are leading the charge, with government funding, academic partnerships, and industry collaborations accelerating the development and adoption of quantum-accelerated risk analytics. The European Union's focus on digital sovereignty, cybersecurity, and regulatory compliance under frameworks such as DORA and GDPR is also driving demand for advanced, auditable risk analytics solutions. The region is expected to witness a CAGR of 33.1% through 2034, outpacing the global average.

The Asia Pacific region, with a market size of approximately USD 451 million in 2025, is emerging as a high-growth market, driven by the digital transformation of industries, government support for quantum initiatives, and the rapid expansion of cloud-based analytics solutions. China, Japan, South Korea, and Australia are leading the region, with significant national investments in quantum research, strong government backing, and a growing ecosystem of technology vendors and enterprise end-users. The region's large and diverse market, coupled with increasing awareness of the competitive benefits of quantum-accelerated risk analytics, is expected to drive robust growth through 2034. Latin America and Middle East & Africa, with combined market values of approximately USD 198 million in 2025, are witnessing growing interest as organizations in financial services, energy, and government recognize the long-term value proposition of quantum-powered risk analytics, though adoption remains at an early but accelerating stage.

Competitor Outlook

The competitive landscape of the Quantum-Accelerated Risk Analytics market in 2025 is characterized by rapid innovation, strategic partnerships, and intense competition among technology vendors, service providers, and industry stakeholders. Leading players are investing heavily in research and development to advance quantum hardware, develop user-friendly software platforms, and deliver end-to-end risk analytics solutions. The market is witnessing a wave of mergers, acquisitions, and collaborations, as companies seek to expand their capabilities, access new markets, and accelerate commercialization. The ability to offer integrated solutions that combine advanced hardware, robust software, and comprehensive services is emerging as a key differentiator in this dynamic and fast-moving market.

Startups and emerging players such as Classiq Technologies, Terra Quantum, Multiverse Computing, QuEra Computing, and SandboxAQ are playing a pivotal role in driving innovation, leveraging their agility and domain expertise to develop specialized quantum-powered risk analytics solutions. These companies are often at the forefront of technological breakthroughs, collaborating with financial institutions, healthcare systems, and energy companies to push the boundaries of practical quantum advantage. The growing availability of venture capital investment and government grant funding is enabling these startups to scale rapidly and compete with established players, fostering a vibrant and highly competitive ecosystem.

Established technology vendors are leveraging their scale, global customer relationships, and cloud infrastructure to develop and commercialize quantum-accelerated risk analytics platforms at enterprise scale. These companies are investing in the development of higher-qubit quantum processors, enhancing interoperability between classical and quantum systems, and building comprehensive cloud-based offerings with strong compliance and security certifications. Strategic partnerships with consulting firms such as Accenture, system integrators, and industry associations are enabling vendors to deliver tailored solutions that address the unique needs of different sectors and geographies. Customer education, developer training, and ecosystem-building through open-source initiatives are also critical priorities as the market transitions from early adoption to mainstream deployment through the 2026-2034 forecast period.

Major companies operating in the Quantum-Accelerated Risk Analytics market include IBM Corporation, Google LLC, Microsoft Corporation, D-Wave Systems Inc., Rigetti Computing, Quantinuum, IonQ Inc., and QC Ware Corp.. IBM Corporation is a pioneer in quantum computing, offering the IBM Quantum platform and a suite of risk analytics solutions tailored for the BFSI and healthcare sectors, with its Heron and Condor processor generations advancing qubit performance. Google LLC is at the forefront of quantum research, with its Willow quantum processor demonstrating error correction milestones, and active partnerships with financial institutions to develop advanced risk modeling applications. Microsoft Corporation offers the Azure Quantum platform, enabling organizations to access quantum-powered risk analytics through the cloud with a focus on its topological qubit roadmap.

D-Wave Systems Inc. specializes in quantum annealing and offers cloud-based quantum computing services well-suited to combinatorial optimization problems in portfolio and operational risk analytics. Rigetti Computing is known for its scalable superconducting quantum processors and hybrid quantum-classical solutions for complex risk modeling. Quantinuum, formed from the merger of Honeywell Quantum Solutions and Cambridge Quantum Computing, is advancing trapped-ion quantum computing technologies with a strong focus on high-fidelity, low-error operations for risk analytics workloads. IonQ Inc. continues to expand its enterprise quantum offerings, targeting BFSI and healthcare risk applications. QC Ware Corp. is a leading provider of quantum software and consulting services, helping organizations across industries develop and deploy quantum-accelerated risk analytics solutions. These companies, alongside a growing number of innovative startups, are shaping the future of the Quantum-Accelerated Risk Analytics market and driving sustained value creation for end-users worldwide through 2034.

Key Players

• IBM Corporation
• Google LLC
• Microsoft Corporation
• D-Wave Systems Inc.
• Rigetti Computing
• IonQ Inc.
• Quantinuum
• Xanadu Quantum Technologies
• QC Ware Corp.
• 1QBit
• Classiq Technologies
• Terra Quantum
• Atos SE
• Fujitsu Limited
• Accenture plc
• PsiQuantum
• Multiverse Computing
• QuEra Computing
• SandboxAQ
• Cambridge Quantum Computing (CQC)