The Global Quantum Computing Market 2027-2037

Description

List of Tables

Quantum computing is moving from the laboratory into industry. Quantum computers use superposition, entanglement and interference to solve some classes of problem far more efficiently than classical machines. The main examples are simulating molecules and materials, certain optimisation and sampling problems, linear-algebra workloads in finance and machine learning, and cryptanalysis. Seven main hardware approaches are competing: superconducting circuits, trapped ions, neutral atoms, photonics, silicon spin qubits, quantum annealing and topological qubits. Each has different strengths in qubit quality (fidelity), speed, connectivity and how easily it can be manufactured, and none has yet shown every property needed for large-scale fault tolerance.

The industry now has the structure of a mature technology market. Leading developers such as IonQ, Quantinuum, D-Wave, Rigetti, IQM, Pasqal and Xanadu are publicly listed. Dedicated quantum foundries are making qubit chips on 200 mm and 300 mm wafers. Governments have become customers and shareholders through the US CHIPS Act, the UK’s ProQure programme, EuroHPC, Canada’s Quantum Champions Program and China’s 15th Five-Year Plan. Consolidation is also under way. IonQ’s acquisitions, D-Wave’s purchase of Quantum Circuits and Intel’s agreement to acquire Classiq show hardware leaders building full-stack businesses.

Today, government R&D contracts, cloud access and system sales to national laboratories and supercomputing centres account for most activity. The decisive variable for the next decade is fault tolerance. This means machines that run logical qubits under real-time error correction. IBM, Quantinuum, Google, PsiQuantum and the neutral-atom leaders all target it before the end of the decade. Error-correction codes such as qLDPC, cat qubits and erasure qubits are cutting the number of physical qubits each logical qubit needs. Cryogenic CMOS control, on-chip control electronics and foundry manufacturing are addressing the scaling bottlenecks.

Quantum processors will act as accelerators alongside GPUs and CPUs in high-performance computing (HPC) and AI data centres, linked through platforms such as NVIDIA’s NVQLink and CUDA-Q. The earliest commercial advantage is expected in chemistry and materials simulation, followed by pharmaceuticals, finance, logistics and energy. Over time, demand is expected to shift from governments and research centres towards commercial users.

Constraints remain significant. Helium-3 and dilution-refrigerator capacity are limited, enriched silicon-28 and specialist lasers depend on a few suppliers, and there is a talent shortage. Error correction must still be proven at scale. A future machine able to break today’s public-key encryption is already driving a global migration to post-quantum cryptography.

The Global Quantum Computing Market 2027–2037 is an in-depth analysis of the technologies, companies and economics of quantum computing over the decade in which the industry moves from noisy intermediate-scale machines to fault-tolerant systems. It draws on primary interviews, company filings, government procurement data and developments tracked to November 2026. The report gives a full ten-year total addressable market (TAM) for quantum computing products and services in conservative, base and optimistic scenarios. The scenarios mainly reflect different assumptions about when fault tolerance arrives and how fast enterprises adopt it.

Forecasts are segmented in five ways:

by qubit modality and computational approach;
by product category: systems, QPUs (quantum processing units) and subsystems, cloud access, software, professional services, R&D contracts and support;
by ten end-use groups;
by four regions and 17 countries;

by a five-tier device classification, from entry and education systems to large-scale fault-tolerant machines, with units shipped, average selling prices and installed base.

A separate forecast sizes the enabling supply chain: cryogenics, control electronics, photonics, interconnects, foundry services and materials.

Beyond the forecasts, the report:

assesses technology readiness by modality, by component and by application;
compares vendor roadmaps and the expected timing of quantum advantage;
analyses routes to market, business models, pricing and public procurement channels;
identifies the main market opportunities;

examines competitive positioning, consolidation, supply-chain risks and challenges.

The report concludes with 303 detailed company profiles covering hardware developers across every modality, technology majors, enabling hardware and component suppliers, software and services companies, and quantum networking and quantum-safe firms. Each profile sets out key facts, technology, recent developments, funding history and a Future Markets view of the company’s strategic significance.

Report contents

Executive summary and key findings
Research scope, segmentation framework, methodology and scenario assumptions
The 2026 market: investment, listings, M&A, government programmes and recent developments
Technologies: gate-based, annealing, analog and photonic approaches; qubit modality comparison; quantum error correction and logical qubits; hybrid quantum–HPC integration
Technology readiness assessment by modality, subsystem and application
Device tier segmentation: shipments, average prices and installed base, including installed logical qubits
Hardware supply chain and enabling technologies, with risk analysis
Software, middleware, cloud and services
Routes to market, business models, pricing and public procurement
End-use markets and market opportunities, by industry
Regional and country markets
Ten-year forecasts by modality, computational approach, product category, end use, region and tier in three scenarios, with sensitivity analysis
Competitive landscape, M&A and vendor positioning
Challenges, risks and SWOT analysis
303 company profiles including A*Quantum, AbaQus, Absolut System, Adaptive Finance Technologies, Aegiq, AetherQ Labs, Airbus, Aires Applied Quantum Technology, Algorithmiq, Alice & Bob, Alpine Quantum Technologies, Amazon Web Services (AWS), AMD, Anametric, Anderon, Anyon Systems, Anyon Technologies, Aqarios, AQSolotl, Aquark Technologies, Archer Materials, Arclight Quantum, Arctic Instruments, ARQUE Systems, Artificial Brain, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atomic Cubit, Atomionics, Atos Quantum (Bull), Baidu, BEIT, Bifrost Electronics, Bloq Quantum, Bluefors, blueqat, BlueQubit, BosonQ Psi, Bright Quantum, C12 Quantum Electronics, CAS Cold Atom, Casimir, CavilinQ, CDimension, Chiral Nano AG, Classiq Technologies, ColibrITD, Commutator Studios, Conductor Quantum, Cortical Labs, Covesion, Crystal Quantum Computing, D-Wave Quantum, Delft Circuits, Diatope, Diraq, EeroQ, Element Six, eleQtron, Entropica Labs, Ephos, Equal1, esoteriq, Falqon Systems, First Quantum, Inc., FirstQFM, Foqus Technologies, FrostByte, Fujitsu, GenMat (Quantum Generative Materials), Good Chemistry, Google Quantum AI, Groove Quantum, Haiqu, Hefei Wanzheng Quantum Technology, Hitachi, Horizon Quantum Computing, HQS Quantum Simulations, HRL Laboratories, Huayi Quantum, IBM Quantum, Iceberg Quantum, Icosa Computing, Infineon Technologies, InfinityQ Technology, Infleqtion, Intel, IonQ, IQM Quantum Computers, Isotec, JiJ Inc., JoS QUANTUM, Kelvin Quantum and more.....

1. Executive Summary

1.1 Key findings
1.2 Market at a glance
1.3 What changed in

2. Research Scope, Definitions and Methodology

2.1 Scope
2.2 Market definition and segmentation
2.3 Forecasting methodology
2.4 Sources

3. The Quantum Computing Market in

3.1 From laboratory to industry
3.2 Investment
3.3 Government programmes and industrial policy
3.4 Recent developments shaping the outlook (October–November 2026)
3.5 Revenue landscape of listed companies

4. Quantum Computing Technologies and Approaches

4.1 Principles
4.2 Qubit modalities
- 4.2.1 Superconducting qubits
- 4.2.2 Trapped ions
- 4.2.3 Neutral atoms
- 4.2.4 Photonic qubits
- 4.2.5 Silicon spin qubits
- 4.2.6 Topological, NV-diamond and other modalities
- 4.2.7 Quantum annealing
4.3 Quantum error correction and logical qubits
4.4 Hybrid quantum–classical computing and HPC integration
4.5 Market players by modality and segment

5. Technology Readiness Assessment

5.1 Assessment framework
5.2 Hardware readiness by modality
- 5.2.1 Superconducting
- 5.2.2 Trapped ion
- 5.2.3 Neutral atom
- 5.2.4 Photonic
- 5.2.5 Silicon spin, NV-diamond and topological
- 5.2.6 Quantum annealing
5.3 Readiness of enabling subsystems
5.4 Software and integration readiness
5.5 Application readiness and the timing of quantum advantage
5.6 Benchmarks and metrics
5.7 Readiness timeline
5.8 Milestones that would shift the forecast between scenarios

6. Device Tier Segmentation

6.1 Tier definitions
6.2 Tier characteristics
6.3 Tier positioning by modality
6.4 Shipments by tier
6.5 Average selling prices by tier
- 6.5.1 Price drivers
6.6 System revenue by tier
6.7 Installed base
- 6.7.1 Installed logical qubits
6.8 Tier demand by buyer type
6.9 Tier forecasts by scenario

7. Hardware Supply Chain and Enabling Technologies

7.1 Cryogenics
7.2 Control electronics
7.3 Photonics and lasers
7.4 Foundries and manufacturing
7.5 Enabling supply-chain market forecast

8. Software, Middleware, Cloud and Services

8.1 The quantum software stack
- 8.1.1 Development platforms and SDKs
- 8.1.2 Error suppression and mitigation
- 8.1.3 Quantum error correction software and decoders
- 8.1.4 Control, calibration and characterisation software
- 8.1.5 Application software
8.2 Cloud access and quantum computing as a service
8.3 Professional services and the consulting channel
8.4 Quantum–HPC integration software
8.5 Quantum–AI convergence
8.6 Quantum-inspired software (adjacent)
8.7 Outlook for software and services

9. Routes to Market and Business Models

9.1 Routes to market
- 9.1.1 Cloud access
- 9.1.2 On-premises system sales
- 9.1.3 QPU and subsystem (OEM) sales
- 9.1.4 NRE and government R&D contracts
- 9.1.5 Software and services
9.2 Business models
- 9.2.1 The full-stack model and verticalisation
- 9.2.2 The specialist and partnership model
- 9.2.3 Revenue model comparison
9.3 Pricing
- 9.3.1 Evolution of pricing models
9.4 Public procurement channels
- 9.4.1 Procurement criteria
9.5 Channel partnerships and alliances
9.6 Regional go-to-market considerations
9.7 Sales cycles and go-to-market lessons

10. End-Use Markets and Market Opportunities

10.1 End-use overview
10.2 Pharmaceuticals and life sciences
- 10.2.1 Workloads
- 10.2.2 Current activity
- 10.2.3 Adoption outlook
10.3 Chemicals and advanced materials
- 10.3.1 Workloads
- 10.3.2 Current activity
- 10.3.3 Adoption outlook
10.4 Financial services and insurance
- 10.4.1 Workloads
- 10.4.2 Current activity
- 10.4.3 Adoption outlook
10.5 Government, defence and national laboratories
- 10.5.1 Workloads
- 10.5.2 Current activity
- 10.5.3 Adoption outlook
10.6 Academic research and HPC centres
- 10.6.1 Workloads
- 10.6.2 Current activity
- 10.6.3 Adoption outlook
10.7 Automotive, aerospace and manufacturing
- 10.7.1 Workloads
- 10.7.2 Current activity
- 10.7.3 Adoption outlook
10.8 Logistics and transportation
- 10.8.1 Workloads
- 10.8.2 Current activity
- 10.8.3 Adoption outlook
10.9 Energy and utilities
- 10.9.1 Workloads
- 10.9.2 Current activity
- 10.9.3 Adoption outlook
10.10 IT, cloud and telecommunications
- 10.10.1 Workloads
- 10.10.2 Current activity
- 10.10.3 Adoption outlook
10.11 Market opportunities
- 10.11.1 Opportunities by value-chain position
- 10.11.2 Opportunity attractiveness by end-use group
10.12 Quantum risk to supply chains

11. Regional Markets

11.1 North America
11.2 Europe
11.3 Asia-Pacific
11.4 Rest of World

12. Market Forecasts 2027–2037

12.1 Total market
12.2 By approach: qubit modality
12.3 By computational approach
12.4 By product category
12.5 By end-use group
12.6 By region
12.7 Tier-level device forecasts by scenario
12.8 Cross-segment view,
12.9 Adjacent markets (not included in the TAM)
12.10 Forecast sensitivities

13. Competitive Landscape

13.1 Market structure
13.2 Leading vendors
13.3 Competition by modality
13.4 Competition by value-chain layer
13.5 Listed-company landscape
13.6 Mergers, acquisitions and strategic transactions
- 13.6.1 M&A themes
13.7 Key success factors
13.8 Competitive positioning

14. Challenges, Risks and SWOT

14.1 Overview of key challenges
14.2 Technical challenges
- 14.2.1 Error correction at scale
- 14.2.2 Scaling, wiring and integration
- 14.2.3 Classical co-processing
14.3 Commercial challenges
- 14.3.1 Proving value
- 14.3.2 Revenue concentration in the public sector
- 14.3.3 Pricing pressure and commoditisation
14.4 Supply-chain risks
14.5 Financial and market risks
14.6 Geopolitical and regulatory risks
14.7 Talent and workforce
14.8 Risk assessment matrix
14.9 SWOT analysis
14.10 Outlook

15. Company Profiles (303 company profiles)

16. Appendix

16.1 Abbreviations
16.2 Companies profiled
16.3 Index of company profiles

List of Tables

Table 1. Global quantum computing market: headline indicators, 2027–2037
Table 2. Segmentation framework used in this report
Table 3. Scenario assumptions
Table 4. Major quantum computing financings, listings and M&A, 2025–2026
Table 5. Government programmes most relevant to quantum computing procurement, 2026
Table 6. Selected developments, October–November 2026
Table 7. Computational approaches to quantum computing
Table 8. Comparison of qubit modalities, 2026
Table 9. Error-correction approaches and overheads
Table 10. Vendor roadmaps: stated system milestones
Table 11. Data-centre readiness by modality, 2026
Table 12. Profiled companies by primary activity (section number in Section 15)
Table 13. Technology readiness levels as applied to quantum computing
Table 14. Commercial readiness index (CRI) used in this report
Table 15. Technology and commercial readiness by modality, 2026 and expected 2030
Table 16. Readiness of enabling subsystems, 2026
Table 17. Software and integration readiness, 2026
Table 18. Levels of quantum advantage
Table 19. Application readiness and resource requirements
Table 20. Key performance metrics for quantum computers
Table 21. Expected readiness milestones, base case
Table 22. Milestones that would shift the forecast between scenarios
Table 23. Quantum computer device tiers: definitions
Table 24. Physical and operational characteristics by tier
Table 25. Where each modality competes, 2027–2037
Table 26. Quantum computer systems shipped by tier, base case, 2027–2037 (units)
Table 27. Average selling price by tier, base case (US$ millions per system)
Table 28. System revenue by tier, base case, 2027–2037 (US$ millions)
Table 29. Share of system revenue by tier, base case
Table 30. Installed base of quantum computers by tier, including vendor-operated cloud systems, base case (units)
Table 31. Indicative share of tier shipments by buyer type, 2027–2037 average
Table 32. Tier-level shipments and system revenue by scenario
Table 33. Critical inputs by modality
Table 34. Enabling supply chain for quantum computing, base case, 2027–2037 (US$ millions; non-additive to TAM)
Table 35. Enabling supply chain by scenario (US$ millions)
Table 36. Supply-chain risks and mitigations
Table 37. Quantum software stack: layers, functions and representative companies
Table 38. Software segment characteristics
Table 39. Cloud access models
Table 40. Major quantum cloud platforms, 2026
Table 41. Software, cloud and service revenue, base case (US$ millions)
Table 42. Cloud and software revenue by scenario (US$ millions)
Table 43. Professional services offerings
Table 44. Routes to market for quantum computing
Table 45. Quantum computing revenue by route to market (product category), base case (US$ millions)
Table 46. Business models in quantum computing
Table 47. Revenue characteristics by business model
Table 48. Indicative pricing benchmarks, 2026
Table 49. Expected evolution of pricing models
Table 50. Major public procurement and funding channels
Table 51. Selected strategic partnerships shaping go-to-market
Table 52. Go-to-market by region
Table 53. End-use markets, quantum-addressable workloads and timing
Table 54. Quantum computing market by end-use group, base case, 2027–2037 (US$ millions)
Table 55. End-use share of the quantum computing market, base case
Table 56. End-use groups by scenario: 2037 revenue (US$ millions) and CAGR 2027–2037
Table 57. Principal market opportunities, 2027–2037
Table 58. Where the opportunities sit in the value chain
Table 59. Opportunity attractiveness by end-use group
Table 60. Quantum computing market by region, base case, 2027–2037 (US$ millions)
Table 61. Quantum computing market by country / sub-region, base case (US$ millions)
Table 62. Regional markets by scenario: 2037 revenue (US$ millions) and CAGR 2027–2037
Table 63. Global quantum computing market by scenario, 2027–2037 (US$ millions)
Table 64. Year-on-year growth by scenario
Table 65. Quantum computing market by modality, conservative scenario, 2027–2037 (US$ millions)
Table 66. Quantum computing market by modality, base scenario, 2027–2037 (US$ millions)
Table 67. Quantum computing market by modality, optimistic scenario, 2027–2037 (US$ millions)
Table 68. Modality comparison across scenarios: 2037 revenue (US$ millions) and CAGR 2027–2037
Table 69. Quantum computing market by computational approach, conservative scenario (US$ millions)
Table 70. Quantum computing market by computational approach, base scenario (US$ millions)
Table 71. Quantum computing market by computational approach, optimistic scenario (US$ millions)
Table 72. Quantum computing market by product category, conservative scenario (US$ millions)
Table 73. Quantum computing market by product category, base scenario (US$ millions)
Table 74. Quantum computing market by product category, optimistic scenario (US$ millions)
Table 75. Products versus services by scenario (US$ millions)
Table 76. Product categories across scenarios: 2037 revenue (US$ millions) and CAGR
Table 77. Quantum computing market by end-use group, conservative scenario (US$ millions)
Table 78. Quantum computing market by end-use group, optimistic scenario (US$ millions)
Table 79. Quantum computing market by region, conservative scenario (US$ millions)
Table 80. Quantum computing market by region, optimistic scenario (US$ millions)
Table 81. Quantum computing market by country / sub-region, conservative scenario (US$ millions)
Table 82. Quantum computing market by country / sub-region, base scenario (US$ millions)
Table 83. Quantum computing market by country / sub-region, optimistic scenario (US$ millions)
Table 84. Systems shipped by tier, conservative scenario (units)
Table 85. System revenue by tier, conservative scenario (US$ millions)
Table 86. Systems shipped by tier, optimistic scenario (units)
Table 87. System revenue by tier, optimistic scenario (US$ millions)
Table 88. Cumulative 2027–2037 shipments, revenue and 2037 installed base by tier, base case
Table 89. Indicative 2037 system revenue by modality and tier, base case (US$ millions)
Table 90. Indicative 2037 revenue by region and product category, base case (US$ millions)
Table 91. Quantum-inspired computing market (US$ millions; Future Markets, The Global Quantum Technologies Market 2026–2036)
Table 92. Sensitivity of 2037 base-case market to key assumptions
Table 93. Competitive tiers in the quantum computing market
Table 94. Expected evolution of market concentration
Table 95. Leading quantum computing companies: positioning, late 2026
Table 96. Competitive dynamics by modality
Table 97. Competitive intensity by value-chain layer
Table 98. Listed quantum computing companies, late 2026
Table 99. Mergers, acquisitions and strategic transactions shaping the market, 2024–2026
Table 100. Key success factors and leading performers
Table 101. Competitive positioning matrix (Future Markets assessment)
Table 102. Key challenges for the quantum computing market
Table 103. Supply-chain risks and mitigations
Table 104. Risk likelihood and impact, 2027–2037
Table 105. SWOT analysis: global quantum computing market
Table 106. Index of company profiles

List of Figures

Figure 1. Global quantum computing market, 2027–2037: conservative, base and optimistic scenarios (US$ billions)
Figure 2. Quantum technology investment, 2012–2026 YTD (US$ billions)
Figure 3. Quantum technology investment by subsector, 2025 (US$ billions)
Figure 4. Selected government quantum commitments (US$ billions, approximate)
Figure 5. Selected vendor fault-tolerance and system roadmap milestones
Figure 6. Technology readiness of quantum computing modalities, 2026
Figure 7. Use-case readiness matrix by application area and period (base case)
Figure 8. Quantum computer systems shipped by tier, base case (units)
Figure 9. Average selling price by tier, base case (US$ millions, log scale)
Figure 10. System revenue by tier, base case (US$ billions)
Figure 11. Installed base by tier (Tier 2–5), including vendor-operated cloud systems, base case
Figure 12. Installed logical qubits on Tier 4–5 systems, base case
Figure 13. Quantum computing value chain
Figure 14. Enabling supply chain sales into quantum computing, base case (US$ billions)
Figure 15. Revenue mix by route to market (product category), base case, 2026–2037 (% of total)
Figure 16. Quantum computing market by end-use group, base case (US$ billions)
Figure 17. Growth by end-use group, base case CAGR 2027–2037
Figure 18. Quantum computing market by region, base case (US$ billions)
Figure 19. Quantum computing market by country / sub-region, 2027 and 2037, base case (US$ billions)
Figure 20. Global quantum computing market by scenario, 2027–2037 (US$ billions)
Figure 21. Quantum computing market by modality, base case (US$ billions)
Figure 22. Modality share of the quantum computing market, base case
Figure 23. Scenario range of 2037 revenue by modality (US$ billions)
Figure 24. Quantum computing market by computational approach, base case (US$ billions)
Figure 25. Quantum computing market by product category, base case (US$ billions)
Figure 26. Products versus services, base case (US$ billions)

The Global Quantum Computing Market 2027-2037

Description

Table of Contents

List of Tables

Table of Contents

1. Executive Summary

2. Research Scope, Definitions and Methodology

3. The Quantum Computing Market in

4. Quantum Computing Technologies and Approaches

5. Technology Readiness Assessment

6. Device Tier Segmentation

7. Hardware Supply Chain and Enabling Technologies

8. Software, Middleware, Cloud and Services

9. Routes to Market and Business Models

10. End-Use Markets and Market Opportunities

11. Regional Markets

12. Market Forecasts 2027–2037

13. Competitive Landscape

14. Challenges, Risks and SWOT

15. Company Profiles (303 company profiles)

16. Appendix

List of Tables

List of Figures