양자 기술 시장(2026-2036년)

The quantum technologies market crossed a decisive threshold in 2026, moving from venture-funded research into public capital markets, industrial-scale manufacturing and direct government ownership. Capital markets defined the first half of the year. Quantinuum chose a conventional underwritten IPO over a SPAC: its upsized offering priced at $60 a share, above its earlier range, and raised $1.68 billion. Xanadu, Infleqtion and IQM completed their listings, so the sector's leading hardware companies now report publicly every quarter. Commercial traction is visible: IonQ reported Q2 2026 revenue of $80.1 million, up 287% year on year, and raised its full-year guidance to $280–290 million.

Industrial policy defined the second half. The US Department of Commerce signed nine letters of intent for $2.013 billion of CHIPS incentives, and as a condition of funding it takes a minority equity stake in each company. Anderon, IBM's pure-play quantum foundry, finalised a $1 billion award for a 300 mm quantum wafer foundry in Albany, New York. The industry's bottleneck is moving from qubit physics to manufacturing, with foundries, specialty materials, isotopes, control electronics and photonic components becoming strategic assets.

Private capital continues to favour fault-tolerant architectures. Oratomic raised a $300 million Series A on research suggesting utility-scale quantum computers may need only about 10,000 neutral-atom qubits rather than millions. OQC raised £260 million, Europe's largest private quantum computing round. Lower estimates of the hardware needed for fault tolerance are bringing "Q-Day" closer and accelerating post-quantum cryptography migration, which is building a large quantum-safe security market around quantum communications.

Quantum sensing remains the largest revenue segment today, driven by defence demand for GPS-independent navigation and timing, alongside healthcare applications such as wearable OPM-MEG. Quantum computing becomes the largest segment after 2030 as fault-tolerant systems arrive: IBM Starling, Quantinuum Apollo and others target 2028–2030. Deployment is shifting from cloud access to on-premises systems in HPC centres and AI data centres, tightly coupled to GPUs for hybrid workloads and real-time error correction. The outlook to 2036 is strong growth with high execution risk. Revenue will stay uneven while roadmaps are validated, but sovereign funding, public-market capital and foundry-scale manufacturing have put the industry on a far more durable footing than in any previous cycle.

The Global Quantum Technologies Market 2026–2036 is a comprehensive analysis of the second quantum revolution. It covers quantum computing, quantum communications, quantum sensing, quantum batteries, and the materials and enabling hardware that underpin them. With data through Q3 2026, the report charts a market undergoing its most significant transformation yet: public listings of leading hardware developers, the arrival of government equity stakes under the US CHIPS programme, the emergence of pure-play quantum foundries, and a decisive shift in investment towards fault-tolerant architectures. The report gives detailed technology assessments, market forecasts and competitive analysis for every major qubit modality: superconducting, trapped-ion, neutral-atom, photonic, silicon-spin, topological, diamond and annealing systems. It includes a modality-level revenue forecast to 2046. It examines the race to fault tolerance through a logical-qubit leaderboard, vendor roadmaps, and the real-time decoding hardware and QEC spending it requires. A dedicated chapter analyses how quantum computers are being integrated into HPC centres and AI data centres.

The enabling-technology chapters cover the supply chain in depth: cryogenics and helium-3, isotopically enriched materials, cryo-CMOS and room-temperature control electronics, lasers and photonic integrated circuits, single-photon sources and detectors, and the new generation of quantum foundries. These sections are designed for materials, semiconductor and photonics suppliers assessing quantum as a growth market.

Communications coverage includes QKD, post-quantum cryptography and the wider quantum-safe security market, satellite quantum communications, and quantum memories and repeaters. Sensing coverage includes atomic clocks, magnetometers, gravimeters, quantum PNT for GPS-denied navigation, and biomedical sensing and imaging. End-use analysis spans defence and national security, pharmaceuticals, finance, energy, automotive and other sectors. National programme coverage includes the US, China, the EU, the UK, Japan, South Korea, India and the Gulf States. The report profiles 353 companies, from start-ups to global technology leaders, with products, roadmaps, partnerships and funding histories.

Now in it's Third Edition of The Global Quantum Technologies Market 2026–2036 has been substantially revised and expanded. New chapters and sections include:

• A dedicated chapter on Quantum–HPC Integration and Quantum Data Centres.
• A modality market-share forecast for quantum computing to 2046.
• Expanded analysis of superconducting, trapped-ion and silicon-spin quantum computing.
• A logical-qubit leaderboard and analysis of real-time QEC decoding hardware.
• New enabling-hardware sections on quantum foundries and fabrication, room-temperature control and readout electronics, single-photon sources and detectors, and isotopes and specialty inputs (²⁸Si, ¹²C, ion isotopes).
• In communications: new sections on PQC and QKD as complementary quantum-safe markets, satellite and space quantum communications, and quantum memories, repeaters and the quantum internet.
• In sensing: new sections on quantum PNT and GPS-denied navigation, timing demand from telecoms, data centres and GNSS resilience, and quantum biomedical sensing and imaging.
• An expanded Defence and National Security analysis.
• Updated national programme coverage, including US state initiatives, South Korea and the Gulf States.

All market forecast tables have been reconciled so that segment, end-use, regional and sensor-type forecasts agree with the headline totals. Thirteen new company profiles have been added, and existing profiles of the leading companies have been rewritten with current product, roadmap, funding and financial data.

Report contents include:

• Executive summary of the 2026 market: IPOs, CHIPS quantum incentives, foundries, M&A and record funding rounds
• Investment analysis 2025–2026, with deal tables by quarter, and government funding by country
• Quantum computing: hardware by modality, architectures, software, middleware and QCaaS, and the value chain
• Modality market share forecast 2026–2046
• Quantum error correction and fault tolerance: logical-qubit demonstrations, vendor roadmaps, real-time decoders and QEC spending forecasts
• Quantum–HPC integration and quantum data centres: architectures, on-premises deployments, data-centre readiness and forecasts
• Quantum chemistry and AI, quantum machine learning and quantum simulation
• Quantum communications: QKD, PQC, the quantum-safe security market, satellite quantum communications, and quantum memories, repeaters and networks
• Quantum sensors: atomic clocks and timing demand, magnetometers, gravimeters, gyroscopes, quantum PNT, and biomedical sensing and imaging
• Quantum batteries
• End-use markets, including expanded defence and national security analysis
• Materials, components and enabling hardware: foundries, cryogenics, helium-3, isotopes, cryo-CMOS, control electronics, lasers, PICs, and single-photon sources and detectors
• Global market forecasts 2026–2046 by technology, end-use industry and region
• National quantum programmes and government initiatives
• 353 company profiles. Companies profiled include A Quantum, AbaQus, Absolut System, Adaptive Finance Technologies, Aegiq, Agnostiq GmbH, Algorithmiq Oy, Airbus, Alea Quantum, Alpine Quantum Technologies GmbH (AQT), Alice&Bob, Aliro, Anametric, Inc., Anderon, Anyon Systems Inc., Aqarios GmbH, Aquark Technologies, Archer Materials, Arclight Quantum, Arctic Instruments, Arda Atomics GmbH, Arqit Quantum Inc., ARQUE Systems GmbH, Artificial Brain, Artilux, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atomionics, Atos Quantum, Baidu, Inc., BEIT, Beyond Blood Diagnostics, Bifrost Electronics, Bleximo, BlueFors, BlueQubit, Bohr Quantum Technology, Bosch Quantum Sensing, BosonQ Ps, Bright Quantum, C12 Quantum Electronics, CAS Cold Atom, CavilinQ, Cerca Magnetics, CEW Systems Canada Inc., Chipiron, Chiral Nano AG, Classiq Technologies, ColibriTD, Commutator Studios GmbH, Cortical Labs, Covesion, Crypta Labs Ltd., CryptoNext Security, Crystal Quantum Computing, D-Wave Systems, DeteQt, Digistain, Diatope GmbH, Dirac Labs, Diraq, Delft Circuits, Delta g, Duality Quantum Photonics, EeroQ, EigenQ, eleQtron, Element Six, Elyah, Entropica Labs, Ephos, Equal1, EuQlid, EvolutionQ, Exail Quantum Sensors, EYL, First Quantum, Inc., Fujitsu, Genesis Quantum Technology, GenMat, Good Chemistry, Google Quantum AI, Groove Quantum, g2-Zero, Haiqu, Hefei Wanzheng Quantum Technology Co., Ltd., High Q Technologies Inc., Horizon Quantum Computing, HQS Quantum Simulations, HRL, Huayi Quantum, IBM, Icarus Quantum, Iceberg Quantum, Icosa Computing, ID Quantique, InfinityQ, Infineon Technologies AG, InfiniQuant, Infleqtion, Intel, IonQ, ISARA Corporation, IQM Quantum Computers, JiJ, JoS QUANTUM GmbH, KEEQuant GmbH, KETS Quantum Security, Ki3 Photonics, Kipu Quantum, Kiutra GmbH, Kuano Limited, Kvantify, levelQuantum, Ligentec, Linq Photonics GmbH, LQUOM, Lux Quanta, M Squared Lasers, Mag4Health, MagiQ Technologies, Materials Nexus, Maybell Quantum Industries, memQ, Menlo Systems GmbH, Menten AI, Mesa Quantum, MicroAlgo, Microsoft, Mind Foundry, Miraex, Molecular Quantum Solutions, Monarch Quantum, Montana Instruments, Mphasis, Multiverse Computing, Munich Quantum Instruments GmbH, Mycryofirm, Nanofiber Quantum Technologies, NEC Corporation, NeoCrystech, Neuranics, Next Generation Quantum, neQxt GmbH, Nexus Photonics, NIQS Technology Ltd, nOhm Devices, Inc., Nomad Atomics, Nord Quantique, Nordic Quantum Computing Group AS, Norma, Novocene Photonics, NTT, Nu Quantum, NVision, 1Qbit, Oratomic, ORCA Computing, Orange Quantum Systems, Origin Quantum Computing Technology, OTI Lumionics, Oxford Ionics, Oxford Quantum Circuits (OQC), PacketLight Networks, ParityQC, Pasqal, Peak Quantum, Peptone, Phasecraft, Phasor Innovation, Photonic, Inc., PhotonForce, Pixel Photonics, Planqc GmbH, Planckian, Plassys, Polariton Technologies, Polaris Quantum Biotech (POLARISqb), Post Quantum, pQCee and more.....

Table of Contents

1 EXECUTIVE SUMMARY

• 1.1 Quantum Technologies Market in
• 1.2 Funding
  • 1.2.1 Q1
  • 1.2.2 Q2
  • 1.2.3 Q3
  • 1.2.4 Q4
  • 1.2.5 Q1
  • 1.2.6 Q2
  • 1.2.7 Q3
    • 1.2.7.1 Pure-play quantum foundries
    • 1.2.7.2 Vertical integration by the platform leaders
    • 1.2.7.3 Continued public-market conversion
• 1.3 The Strategic Picture in Late
• 1.4 First and second quantum revolutions
• 1.5 Current quantum technology market landscape
  • 1.5.1 Key developments
• 1.6 Technology Readiness Assessment
• 1.7 Quantum Technologies Investment Landscape
  • 1.7.1 Total market investments 2012-2026
  • 1.7.2 By Technology
  • 1.7.3 By Company
  • 1.7.4 By Application
  • 1.7.5 By Region
    • 1.7.5.1 The Quantum Market in North America
    • 1.7.5.2 The Quantum Market in Asia
    • 1.7.5.3 The Quantum Market in Europe
  • 1.7.6 Key Investment Trends 2025–2026
• 1.8 Global government initiatives and funding
  • 1.8.1 United States
    • 1.8.1.1 National Quantum Initiative (NQI)
    • 1.8.1.2 Department of Energy (DOE)
    • 1.8.1.3 DARPA – Quantum Benchmarking Initiative (QBI)
    • 1.8.1.4 Quantum Sensing (Defense)
    • 1.8.1.5 CHIPS and Science Act
    • 1.8.1.6 State-Level Quantum Programmes
  • 1.8.2 China
  • 1.8.3 European Union
  • 1.8.4 Germany
  • 1.8.5 United Kingdom
  • 1.8.6 France
  • 1.8.7 Canada
  • 1.8.8 Australia
  • 1.8.9 Japan
  • 1.8.10 India
  • 1.8.11 South Korea
  • 1.8.12 Gulf States
  • 1.8.13 Cross-Cutting Themes in Government Quantum Investment
  • 1.8.14 Supply Chain Concentration and Geopolitical Exposure
• 1.9 Challenges for quantum technologies adoption
• 1.10 Critical Supply Chain Bottlenecks
• 1.11 Quantum Technology Market Map
• 1.12 SWOT Analysis
• 1.13 Quantum Technology Value Chain
• 1.14 Global Market Forecast 2026–2046
  • 1.14.1 Total Market Revenues
  • 1.14.2 By Technology Segment
  • 1.14.3 By End-Use Industry
  • 1.14.4 By Region

2 INTRODUCTION TO QUANTUM TECHNOLOGY

• 2.1 First and Second Quantum Revolutions
• 2.2 Quantum Mechanics Principles
  • 2.2.1 Superposition
  • 2.2.2 Entanglement
  • 2.2.3 Quantum Coherence
  • 2.2.4 Quantum Tunnelling
• 2.3 The Quantum Technology Ecosystem
• 2.4 Enabling Technologies and Infrastructure
• 2.5 Standards Development

3 QUANTUM COMPUTING

• 3.1 What is quantum computing?
  • 3.1.1 Operating principle
  • 3.1.2 Classical vs quantum computing
  • 3.1.3 Quantum computing technology
    • 3.1.3.1 Quantum emulators
    • 3.1.3.2 Quantum inspired computing
    • 3.1.3.3 Quantum annealing computers
    • 3.1.3.4 Quantum simulators
    • 3.1.3.5 Digital quantum computers
    • 3.1.3.6 Continuous variables quantum computers
    • 3.1.3.7 Measurement Based Quantum Computing (MBQC)
    • 3.1.3.8 Topological quantum computing
    • 3.1.3.9 Quantum Accelerator
• 3.2 Benchmarking and Performance Metrics
  • 3.2.1 Qubit Count
  • 3.2.2 Gate Fidelity
  • 3.2.3 Coherence Times
  • 3.2.4 Quantum Volume
  • 3.2.5 Competition from other technologies
  • 3.2.6 Quantum algorithms
    • 3.2.6.1 Quantum Software Stack
    • 3.2.6.2 Quantum Machine Learning
    • 3.2.6.3 Quantum Simulation
    • 3.2.6.4 Quantum Optimization
    • 3.2.6.5 Quantum Cryptography
      • 3.2.6.5.1 Quantum Key Distribution (QKD)
      • 3.2.6.5.2 Post-Quantum Cryptography
  • 3.2.7 Architectural Approaches
    • 3.2.7.1 Modular vs. Single Core
    • 3.2.7.2 Heterogeneous Multi-Qubit Architectures
  • 3.2.8 Hardware
  • 3.2.9 Qubit Technologies
  • 3.2.10 Superconducting Quantum Computing
    • 3.2.10.1 Technology description
    • 3.2.10.2 Materials
    • 3.2.10.3 Hardware Architecture
    • 3.2.10.4 Market players
    • 3.2.10.5 Swot analysis
    • 3.2.10.6 Superconducting Hardware Roadmap
    • 3.2.10.7 Market position
    • 3.2.10.8 The superconducting supply chain and the foundry shift
    • 3.2.10.9 Deployment model: superconducting systems in data centres
    • 3.2.10.10 Superconducting market forecast
  • 3.2.11 Trapped-Ion Quantum Computing
    • 3.2.11.1 Technology description
    • 3.2.11.2 Ion Species Comparison
    • 3.2.11.3 Trap Architectures
    • 3.2.11.4 Market position
    • 3.2.11.5 Quantinuum as the public-market benchmark
    • 3.2.11.6 Enabling technologies: the trapped-ion bill of materials
    • 3.2.11.7 Materials
      • 3.2.11.7.1 Integrating optical components
      • 3.2.11.7.2 Incorporating high-quality mirrors and optical cavities
      • 3.2.11.7.3 Engineering the vacuum packaging and encapsulation
      • 3.2.11.7.4 Removal of waste heat
      • 3.2.11.7.5 Market players
      • 3.2.11.7.6 SWOT analysis
      • 3.2.11.7.7 Trapped-Ion Hardware Roadmap
  • 3.2.12 Silicon Spin-Qubit Quantum Computing
    • 3.2.12.1 Technology description
    • 3.2.12.2 Quantum dots
    • 3.2.12.3 SWOT analysis
    • 3.2.12.4 Silicon Spin Hardware Roadmap
    • 3.2.12.5 Market position
    • 3.2.12.6 Market players
      • 3.2.12.6.1 The CMOS-foundry angle
    • 3.2.12.7 Funding
  • 3.2.13 Topological Qubits
    • 3.2.13.1 Technology description
      • 3.2.13.1.1 Cryogenic cooling
    • 3.2.13.2 Market players
    • 3.2.13.3 SWOT analysis
    • 3.2.13.4 Photonic Qubits
      • 3.2.13.4.1 Technology description
        • 3.2.13.4.1.1 Architectural Classes
        • 3.2.13.4.1.2 Initialization, Manipulation, and Readout
        • 3.2.13.4.1.3 Hardware Architecture
      • 3.2.13.4.2 Race to Photonic Fault Tolerance: Tier Analysis
      • 3.2.13.4.3 Market players
      • 3.2.13.4.4 Swot analysis
      • 3.2.13.4.5 Photonic Hardware Roadmap
      • 3.2.13.4.6 Race to Photonic Fault Tolerance: Tier Analysis
    • 3.2.13.5 Neutral atom (cold atom) qubits
      • 3.2.13.5.1 Technology description
      • 3.2.13.5.2 Market players
      • 3.2.13.5.3 Swot analysis
      • 3.2.13.5.4 Neutral Atom Hardware Roadmap
    • 3.2.13.6 Diamond-defect qubits
      • 3.2.13.6.1 Technology description
      • 3.2.13.6.2 SWOT analysis
      • 3.2.13.6.3 Market players
      • 3.2.13.6.4 Diamond-Defect Hardware Roadmap
    • 3.2.13.7 Quantum annealers
      • 3.2.13.7.1 Technology description
      • 3.2.13.7.2 SWOT analysis
      • 3.2.13.7.3 Market players
      • 3.2.13.7.4 Quantum Annealing Hardware Roadmap
  • 3.2.14 Architectural Approaches
  • 3.2.15 Quantum Computing Infrastructure Requirements
  • 3.2.16 Software
    • 3.2.16.1 Technology description
    • 3.2.16.2 Cloud-based services- QCaaS (Quantum Computing as a Service).
      • 3.2.16.2.1 The Cloud-First Reality of Quantum Computing
      • 3.2.16.2.2 Platform Architecture Models
      • 3.2.16.2.3 Major Quantum Cloud Platforms
      • 3.2.16.2.4 Pricing Models
      • 3.2.16.2.5 Quantum Cloud Platform Comparison
      • 3.2.16.2.6 Cloud Platform Market Forecast
      • 3.2.16.2.7 Middleware, Optimisation Platforms and Hybrid Orchestration
    • 3.2.16.3 Market players
• 3.3 Market challenges
• 3.4 SWOT analysis
• 3.5 Business Models
• 3.6 Quantum Error Correction and Fault Tolerance
  • 3.6.1 Why Error Correction Matters
  • 3.6.2 Quantum Error Correction Code Families
  • 3.6.3 Fault Tolerance Requirements and Logical Qubit Demonstrations
  • 3.6.4 Magic State Distillation and Logical Gate Sets
  • 3.6.5 Hardware-Aware Error Correction
  • 3.6.6 QEC-Specific Vendors and Software Stack
  • 3.6.7 Resource Estimation for Fault-Tolerant Algorithms
  • 3.6.8 Market Forecast — QEC-Related Spending
• 3.7 Quantum computing value chain
• 3.8 Markets and applications for quantum computing
  • 3.8.1 Pharmaceuticals
    • 3.8.1.1 Market overview
      • 3.8.1.1.1 Drug discovery
      • 3.8.1.1.2 Diagnostics
      • 3.8.1.1.3 Molecular simulations
      • 3.8.1.1.4 Genomics
      • 3.8.1.1.5 Proteins and RNA folding
    • 3.8.1.2 Market players
  • 3.8.2 Chemicals
    • 3.8.2.1 Market overview
    • 3.8.2.2 Market players
  • 3.8.3 Transportation
    • 3.8.3.1 Market overview
    • 3.8.3.2 Market players
  • 3.8.4 Financial services
    • 3.8.4.1 Market overview
    • 3.8.4.2 Market players
• 3.9 Opportunity analysis
• 3.10 Technology roadmap
• 3.11 Quantum-Inspired Classical Computing
  • 3.11.1 What is Quantum-Inspired Computing?
  • 3.11.2 Quantum-Inspired Algorithms
  • 3.11.3 Quantum-Inspired Hardware Architectures
  • 3.11.4 Commercial Applications
  • 3.11.5 Major Quantum-Inspired Vendors
  • 3.11.6 Quantum vs Quantum-Inspired: Strategic Positioning
  • 3.11.7 Market Forecast — Quantum-Inspired Computing
• 3.12 Modality Market Share Forecast 2026–2046

4 QUANTUM–HPC INTEGRATION AND QUANTUM DATA CENTRES

• 4.1 Overview
• 4.2 Why HPC Centres Are Buying Quantum Computers
• 4.3 Integration Architectures
• 4.4 On-Premises Deployments
• 4.5 Form Factor and Data-Centre Readiness
• 4.6 Hybrid Software and Orchestration
• 4.7 Photonic Deployment Models in Data Centres
• 4.8 Market Forecast

5 QUANTUM CHEMISTRY AND ARTIFICAL INTELLIGENCE (AI)

• 5.1 Technology description
• 5.2 Applications
• 5.3 SWOT analysis
• 5.4 Market challenges
• 5.5 Market players
• 5.6 Opportunity analysis
• 5.7 Technology roadmap

6 QUANTUM MACHINE LEARNING

• 6.1 What is Quantum Machine Learning?
• 6.2 Classical vs. Quantum Computing Paradigms for ML
• 6.3 Quantum Mechanical Principles for ML
• 6.4 Machine Learning Fundamentals
• 6.5 The Intersection — Why Combine Quantum and ML?
• 6.6 QML Phases and Evolution
  • 6.6.1 The First Phase of QML
  • 6.6.2 The Second Phase of QML
• 6.7 Algorithms and Software for QML
• 6.8 Quantum Neural Networks
• 6.9 Variational Quantum Classifiers
• 6.10 Quantum Kernel Methods
• 6.11 Advantages of QML
  • 6.11.1 Improved Optimisation and Generalisation
  • 6.11.2 Quantum Advantage in ML
  • 6.11.3 Training Advantages and Opportunities
  • 6.11.4 Improved Accuracy
• 6.12 Challenges and Limitations
  • 6.12.1 Hardware Constraints
  • 6.12.2 Costs
  • 6.12.3 Nascent Technology
• 6.13 QML Applications
• 6.14 QML Roadmap
• 6.15 Market Players
• 6.16 Market Forecasts 2026–2036

7 QUANTUM SIMULATION

• 7.1 What is Quantum Simulation?
• 7.2 Analog vs. Digital Quantum Simulation
• 7.3 Quantum Simulation Platforms
  • 7.3.1 Neutral Atom Simulators
  • 7.3.2 Trapped Ion Simulators
  • 7.3.3 Superconducting Circuit Simulators
  • 7.3.4 Photonic Simulators
• 7.4 Applications of Quantum Simulation
  • 7.4.1 Molecular and Chemical Simulation
  • 7.4.2 Materials Discovery
  • 7.4.3 High-Energy Physics
  • 7.4.4 Condensed Matter Physics
  • 7.4.5 Drug Discovery and Protein Folding
• 7.5 Quantum Chemistry Simulation
• 7.6 Market Players
• 7.7 SWOT Analysis
• 7.8 Market Forecasts 2026–2036

8 QUANTUM COMMUNICATIONS

• 8.1 Technology description
• 8.2 Types
• 8.3 Applications
• 8.4 Quantum Random Numbers Generators (QRNG)
  • 8.4.1 Overview
  • 8.4.2 QRNG Product Design and Technology Evolution
  • 8.4.3 Entropy Sources
  • 8.4.4 High Throughput as Key Differentiator
  • 8.4.5 Standards Development
  • 8.4.6 Applications
    • 8.4.6.1 Encryption for Data Centers
    • 8.4.6.2 Consumer Electronics
    • 8.4.6.3 Automotive/Connected Vehicle
    • 8.4.6.4 Gambling and Gaming
    • 8.4.6.5 Monte Carlo Simulations
    • 8.4.6.6 Government and Defense Applications
    • 8.4.6.7 Enterprise Networks and Data Centers
    • 8.4.6.8 Automotive Applications
    • 8.4.6.9 Online Gaming
  • 8.4.7 Advantages
  • 8.4.8 Principle of Operation of Optical QRNG Technology
  • 8.4.9 Non-optical approaches to QRNG technology
  • 8.4.10 SWOT Analysis
  • 8.4.11 Market Forecasts
• 8.5 Quantum Key Distribution (QKD)
  • 8.5.1 Overview
  • 8.5.2 Asymmetric and Symmetric Keys
  • 8.5.3 Principle behind QKD
  • 8.5.4 Why is QKD More Secure Than Other Key Exchange Mechanisms?
  • 8.5.5 Discrete Variable vs. Continuous Variable QKD Protocols
  • 8.5.6 MDI-QKD (Measurement Device Independent QKD)
  • 8.5.7 Fiber-Based QKD
  • 8.5.8 Free-Space and Satellite QKD
  • 8.5.9 Key Players
  • 8.5.10 Challenges
  • 8.5.11 SWOT Analysis
  • 8.5.12 Market Forecasts
• 8.6 Post-quantum cryptography (PQC)
  • 8.6.1 Overview
  • 8.6.2 Security systems integration
  • 8.6.3 PQC standardization
    • 8.6.3.1 NIST Standardisation Process and Outcomes
    • 8.6.3.2 Migration Implications
  • 8.6.4 Transitioning cryptographic systems to PQC
  • 8.6.5 Market players
  • 8.6.6 SWOT Analysis
  • 8.6.7 Market Forecasts
    • 8.6.7.1 Beyond Algorithms: The Migration Reality
    • 8.6.7.2 The Migration Stack
    • 8.6.7.3 Industry-Specific Migration Programs
    • 8.6.7.4 Migration Services and Consulting Market
    • 8.6.7.5 Market Forecast — Quantum-Safe Migration
    • 8.6.7.6 Y2Q Timeline and Strategic Implications
    • 8.6.7.7 Quantum-Safe Security: PQC and QKD as Complementary Markets
• 8.7 Quantum homomorphic cryptography
• 8.8 Quantum Teleportation
• 8.9 Quantum Networks
  • 8.9.1 Overview
  • 8.9.2 Advantages
  • 8.9.3 Role of Trusted Nodes and Trusted Relays
  • 8.9.4 Entanglement Swapping and Optical Switches
  • 8.9.5 Multiplexing quantum signals with classical channels in the O-band
    • 8.9.5.1 Wavelength-division multiplexing (WDM) and time-division multiplexing (TDM)
  • 8.9.6 Twin-Field Quantum Key Distribution (TF-QKD)
  • 8.9.7 Enabling global-scale quantum communication
  • 8.9.8 Advanced optical fibers and interconnects
  • 8.9.9 Photodetectors in quantum networks
    • 8.9.9.1 Avalanche photodetectors (APDs)
    • 8.9.9.2 Single-photon avalanche diodes (SPADs)
    • 8.9.9.3 Silicon Photomultipliers (SiPMs)
  • 8.9.10 Cryostats
    • 8.9.10.1 Cryostat architectures
  • 8.9.11 Infrastructure requirements
  • 8.9.12 Global activity
    • 8.9.12.1 China
    • 8.9.12.2 Europe
    • 8.9.12.3 The Netherlands
    • 8.9.12.4 The United Kingdom
    • 8.9.12.5 US
    • 8.9.12.6 Japan
  • 8.9.13 SWOT analysis
• 8.10 Satellite and Space Quantum Communications
  • 8.10.1 Why space
  • 8.10.2 Missions and programmes
  • 8.10.3 Space and ground segment technology
  • 8.10.4 Engineering and commercial challenges
  • 8.10.5 Market forecast
  • 8.10.6 Engineering and commercial challenges
• 8.11 Quantum Memories, Repeaters and the Quantum Internet
  • 8.11.1 Overview
  • 8.11.2 Quantum memory technologies
  • 8.11.3 Repeater generations
  • 8.11.4 Testbeds and early networks
  • 8.11.5 Market players
  • 8.11.6 Applications driving investment
  • 8.11.7 Market forecast
• 8.12 Global Market for Quantum Communications by Technology Type 2026–2036
• 8.13 Market challenges
• 8.14 Market players
• 8.15 Opportunity analysis
• 8.16 Technology roadmap

9 QUANTUM SENSORS

• 9.1 Technology description
  • 9.1.1 Quantum Sensing Principles
  • 9.1.2 SWOT analysis
  • 9.1.3 Atomic Clocks
    • 9.1.3.1 High frequency oscillators
      • 9.1.3.1.1 Emerging oscillators
    • 9.1.3.2 Caesium atoms
    • 9.1.3.3 Self-calibration
    • 9.1.3.4 Optical atomic clocks
      • 9.1.3.4.1 Chip-scale optical clocks
    • 9.1.3.5 Bench/Rack-Scale Atomic Clocks
    • 9.1.3.6 Chip-Scale Atomic Clocks (CSAC)
    • 9.1.3.7 Atomic Clocks Market Forecasts — Total
    • 9.1.3.8 Timing Demand: Telecoms, Data Centres and GNSS Resilience
    • 9.1.3.9 Companies
    • 9.1.3.10 SWOT analysis
  • 9.1.4 Quantum Magnetic Field Sensors
    • 9.1.4.1 Introduction
    • 9.1.4.2 Motivation for use
    • 9.1.4.3 Market opportunity
    • 9.1.4.4 Superconducting Quantum Interference Devices (Squids)
      • 9.1.4.4.1 Applications
      • 9.1.4.4.2 Key players
      • 9.1.4.4.3 SWOT analysis
    • 9.1.4.5 Optically Pumped Magnetometers (OPMs)
      • 9.1.4.5.1 Applications
      • 9.1.4.5.2 Key players
      • 9.1.4.5.3 SWOT analysis
    • 9.1.4.6 Tunneling Magneto Resistance Sensors (TMRs)
      • 9.1.4.6.1 Applications
      • 9.1.4.6.2 Key players
      • 9.1.4.6.3 SWOT analysis
    • 9.1.4.7 Nitrogen Vacancy Centers (N-V Centers)
      • 9.1.4.7.1 Applications
      • 9.1.4.7.2 Key players
      • 9.1.4.7.3 SWOT analysis
  • 9.1.5 Quantum Gravimeters
    • 9.1.5.1 Technology description
    • 9.1.5.2 Applications
    • 9.1.5.3 Key players
    • 9.1.5.4 SWOT analysis
  • 9.1.6 Quantum Gyroscopes
    • 9.1.6.1 Technology description
      • 9.1.6.1.1 Inertial Measurement Units (IMUs)
      • 9.1.6.1.2 Atomic quantum gyroscopes
    • 9.1.6.2 Applications
    • 9.1.6.3 Key players
    • 9.1.6.4 SWOT analysis
  • 9.1.7 Quantum Image Sensors
    • 9.1.7.1 Technology description
    • 9.1.7.2 Applications
    • 9.1.7.3 SWOT analysis
    • 9.1.7.4 Key players
  • 9.1.8 Quantum Radar
    • 9.1.8.1 Technology description
    • 9.1.8.2 Applications
  • 9.1.9 Single Photon Detectors
    • 9.1.9.1 Technology Overview
    • 9.1.9.2 Single-Photon Avalanche Diodes (SPADs)
    • 9.1.9.3 Superconducting Nanowire Single-Photon Detectors (SNSPDs)
  • 9.1.10 Quantum Positioning, Navigation and Timing (PNT) and GPS-Denied Navigation.
    • 9.1.10.1 Why quantum PNT has become the leading sensing market
    • 9.1.10.2 Technology approaches
    • 9.1.10.3 Trials and procurement programmes
    • 9.1.10.4 Companies
    • 9.1.10.5 Market forecast
  • 9.1.11 Quantum Sensor Components
  • 9.1.12 Quantum Chemical Sensors
    • 9.1.12.1 Technology overview
    • 9.1.12.2 Commercial activities
  • 9.1.13 Quantum Radio Frequency Field Sensors
    • 9.1.13.1 Overview
    • 9.1.13.2 Rydberg Atom Based Electric Field Sensors and Radio Receivers
      • 9.1.13.2.1 Principles
      • 9.1.13.2.2 Commercialization
    • 9.1.13.3 Nitrogen-Vacancy Centre Diamond Electric Field Sensors and Radio Receivers
      • 9.1.13.3.1 Principles
      • 9.1.13.3.2 Applications
    • 9.1.13.4 Market
  • 9.1.14 Quantum NEM and MEMs
    • 9.1.14.1 Technology description
• 9.2 Market and technology challenges
  • 9.2.1 Quantum Biomedical Sensing and Imaging
    • 9.2.1.1 Overview
    • 9.2.1.2 Optically pumped magnetometers for MEG and MCG
    • 9.2.1.3 Diamond sensors and hyperpolarised MRI
    • 9.2.1.4 Quantum imaging and quantum-enhanced image reconstruction
    • 9.2.1.5 Companies
    • 9.2.1.6 Market forecast
• 9.3 Market forecasts
  • 9.3.1 By Sensor Type
  • 9.3.2 By Volume
  • 9.3.3 By Sensor Price
  • 9.3.4 By End-Use Industry
• 9.4 Technology roadmap

10 QUANTUM BATTERIES

• 10.1 Technology description
• 10.2 Types
• 10.3 Applications
• 10.4 SWOT analysis
• 10.5 Market challenges
• 10.6 Market players
• 10.7 Opportunity analysis
• 10.8 Technology roadmap

11 END-USE MARKETS AND APPLICATIONS

• 11.1 Overview
• 11.2 Pharmaceuticals and Drug Discovery
  • 11.2.1. Market Overview
  • 11.2.2 Drug Discovery Applications
• 11.3 Financial Services
  • 11.3.1 Market Overview
  • 11.3.2 Portfolio Optimisation
  • 11.3.3 Risk Assessment
  • 11.3.4 Algorithmic Trading
  • 11.3.5 Fraud Detection
• 11.4 Aerospace, Defence and National Security
  • 11.4.1 Market Overview
  • 11.4.2 Navigation and Positioning
  • 11.4.3 Secure Communications
  • 11.4.4 Simulation and Optimisation
  • 11.4.5 Defence and Government Programmes, 2025–2026
  • 11.4.6 Sovereign Capability, Supply Chains and Export Controls
  • 11.4.7 Defence Market Forecast by Pillar
• 11.5 Energy and Utilities
  • 11.5.1 Market Overview
  • 11.5.2 Grid Optimisation
  • 11.5.3 Renewable Energy Integration
  • 11.5.4 Carbon Capture Optimisation
• 11.6 Healthcare and Medical
  • 11.6.1 Market Overview
  • 11.6.2 Medical Imaging
  • 11.6.3 Diagnostics
  • 11.6.4 Personalized Medicine
• 11.7 Telecommunications
  • 11.7.1 Market Overview
  • 11.7.2 Network Optimisation
  • 11.7.3 Quantum-Secure Networks
• 11.8 Government and Public Sector
  • 11.8.1 Market Overview

12 MATERIALS FOR QUANTUM TECHNOLOGIES

• 12.1 Superconductors
  • 12.1.1 Overview
  • 12.1.2 Types and Properties
  • 12.1.3 Critical Temperature and Material Selection
    • 12.1.3.1 Critical Material Supply Chain Considerations
  • 12.1.4 Superconducting Quantum Circuits
    • 12.1.4.1 Introduction
    • 12.1.4.2 Fabricating Superconducting Qubits
  • 12.1.5 Defects and Sources of Noise
  • 12.1.6 Superconducting Nanowire Single-Photon Detectors (SNSPDs) — Materials and Fabrication
  • 12.1.7 Opportunities
• 12.2 Photonics, Silicon Photonics and Optical Components
  • 12.2.1 Overview
  • 12.2.2 Types and Properties
  • 12.2.3 Photonic Integrated Circuits for Quantum Technology
    • 12.2.3.1 Overview
  • 12.2.4 PICs for Quantum Sensing
  • 12.2.5 Opportunities
• 12.3 Nanomaterials
  • 12.3.1 Overview
  • 12.3.2 Types and Properties
  • 12.3.3 Opportunities
• 12.4 Artificial Diamond for Quantum Technology
  • 12.4.1 Overview
  • 12.4.2 Supply Chain and Materials for Diamond-Based Quantum Computers
  • 12.4.3 Quantum Grade Diamond
  • 12.4.4 Silicon-Vacancy in Diamond Quantum Memory
• 12.5 Quantum Foundries and Fabrication
  • 12.5.1 From laboratory fabs to foundries
  • 12.5.2 Pure-play and multi-modality quantum foundries
  • 12.5.3 Materials suppliers as strategic partners
  • 12.5.4 Implications for the supply chain
  • 12.5.5 Quantum foundry services forecast
• 12.6 Cryogenic Infrastructure
  • 12.6.1 The Role of Cryogenics in Quantum Computing
  • 12.6.2 Operating Temperature Requirements by Modality
  • 12.6.3 Dilution Refrigerators
    • 12.6.3.1 Cryogen-Free vs. Wet Systems
      • 12.6.3.1.1.1 Modular and Cube-Format Architectures
  • 12.6.4 Pulse Tube and Cryocoolers
  • 12.6.5 Alternative Cooling Technologies
  • 12.6.6 Dilution Refrigerator Vendor Landscape
  • 12.6.7 Partnership Models
  • 12.6.8 Cryogenic System Lead Times and Capacity Constraints
  • 12.6.9 Ten-Year Forecast — Installed Base of Dilution Refrigerators
• 12.7 Helium-3 Supply Chain
  • 12.7.1 Why Helium-3 Matters for Quantum Computing
  • 12.7.2 ³He Production from Tritium Decay
  • 12.7.3 ³He Supply Sources and Annual Production Estimates
  • 12.7.4 Demand-Supply Gap Modelling, 2026–2046
  • 12.7.5 Lunar Regolith Harvesting (Interlune)
  • 12.7.6 Helium-4 Industrial Supply Risk
  • 12.7.7 Strategic Stockpiling and Mitigation
  • 12.7.8 Isotopes and Specialty Inputs
    • 12.7.8.1 Why isotopes matter
    • 12.7.8.2 Silicon-28: the critical bottleneck for spin qubits
    • 12.7.8.3 Carbon-12 and quantum-grade diamond
    • 12.7.8.4 Ion and atom isotopes
    • 12.7.8.5 Geopolitical exposure and mitigation
• 12.8 Cryogenic Control Electronics and Cryo-CMOS
  • 12.8.1 The Wiring Crisis — Why Room-Temperature Control Cannot Scale
  • 12.8.2 Architectural Approaches
  • 12.8.3 NVQLink and the Quantum-Classical Data Centre Convergence
  • 12.8.4 Cryo-CMOS Devices and Process Technology
  • 12.8.5 Vendor Landscape
  • 12.8.6 Cryogenic Amplifiers — TWPAs, HEMT and Parametric
  • 12.8.7 Heat Load Budgets and Power Dissipation Constraints
  • 12.8.8 Ten-Year Forecast — Cryo-CMOS Market and Penetration
• 12.9 Room-Temperature Control and Readout Electronics
  • 12.9.1 The control stack
  • 12.9.2 Vendor landscape
  • 12.9.3 Market dynamics
  • 12.9.4 Forecast
• 12.10 Lasers and Photonic Components by Modality
  • 12.10.1 The Laser Bill of Materials in a Quantum System
  • 12.10.2 Wavelengths Required by Atomic and Solid-State Modalities
  • 12.10.3 Laser Technology Platforms
  • 12.10.4 Linewidth, Stability and Phase Noise Requirements
  • 12.10.5 Photonic Component Suppliers
  • 12.10.6 Laser Vendor Capability Matrix
• 12.11 Single-Photon Sources and Detectors
  • 12.11.1 A cross-cutting enabling technology
  • 12.11.2 Single-photon detectors
  • 12.11.3 Single-photon sources
  • 12.11.4 Supply chain constraints
• 12.12 Ultra-High Vacuum (UHV) Systems
  • 12.12.1 Vacuum Pressure Requirements by Modality
  • 12.12.2 UHV Chamber Design and Materials
  • 12.12.3 Vacuum Pumps and Hardware
  • 12.12.4 Vacuum Feedthroughs and Hermetic Seals
  • 12.12.5 Vapour Cell Technology and Atomic Sources
  • 12.12.6 UHV Vendor Capability Matrix
• 12.13 Microwave and Optical Interconnects
  • 12.13.1 Cryogenic Microwave Cabling
  • 12.13.2 High-Density Cryogenic Connectors
  • 12.13.3 Cryogenic Attenuators and Filters
  • 12.13.4 Circulators, Isolators and Switches
  • 12.13.5 Optical Interconnects for Photonic and Modular Quantum Systems
  • 12.13.6 Microwave-to-Optical Transducers
  • 12.13.7 Vendor Landscape
• 12.14 Supply Chain Bottleneck Assessment
  • 12.14.1 Methodology — Severity, Probability and Time-to-Resolution Framework
  • 12.14.2 Critical Bottlenecks
  • 12.14.3 High-Severity Bottlenecks
  • 12.14.4 Bottleneck Heat-Map by Modality
  • 12.14.5 Mitigation Strategies
• 12.15 Materials Market Forecasts
  • 12.15.1 Forecasting Methodology and Scenario Definitions
  • 12.15.2 Superconducting Chips and Substrates
  • 12.15.3 Photonic Integrated Circuits and Optical Components
  • 12.15.4 Cryogenic Infrastructure
  • 12.15.5 Helium-3 and Helium-4 Supply
  • 12.15.6 Isotopic Inputs (excluding Helium)
  • 12.15.7 Cryogenic Control Electronics and Cryo-CMOS
  • 12.15.8 Lasers and Single-Photon Detectors
  • 12.15.9 Ultra-High Vacuum Systems
  • 12.15.10 Microwave and Optical Interconnects
  • 12.15.11 Diamond and Quantum Materials
  • 12.15.12 Nanomaterials for Quantum Applications
• 12.16 REGIONAL MARKETS AND NATIONAL PROGRAMMES
  • 12.16.1 North America
    • 12.16.1.1 United States
    • 12.16.1.2 Canada
    • 12.16.1.3 Europe
      • 12.16.1.3.1 European Union Initiatives
      • 12.16.1.3.2 United Kingdom
      • 12.16.1.3.3 Germany
      • 12.16.1.3.4 France
      • 12.16.1.3.5 Netherlands
  • 12.16.2 Asia-Pacific
    • 12.16.2.1 China
    • 12.16.2.2 Japan
    • 12.16.2.3 South Korea
    • 12.16.2.4 Australia
    • 12.16.2.5 Singapore
  • 12.16.3 Rest of World
  • 12.16.4 Government Initiatives Comparison

13 GLOBAL QUANTUM TECHNOLOGIES MARKET ANALYSIS

• 13.1 Market map
• 13.2 Key industry players
  • 13.2.1 Start-ups
  • 13.2.2 Tech Giants
  • 13.2.3 National Initiatives
• 13.3 Global market revenues 2018-2046
  • 13.3.1 Quantum Computing
  • 13.3.2 Quantum Sensors
  • 13.3.3 QKD Systems
  • 13.3.4 Quantum Random Number Generators (QRNG)
  • 13.3.5 Post-Quantum Cryptography (PQC)
  • 13.3.6 Quantum Machine Learning
  • 13.3.7 Quantum Simulation
  • 13.3.8 Quantum Batteries
  • 13.3.9 Total Quantum Technology Market — Consolidated Forecast
  • 13.3.10 Quantum Hardware Supply Chain Market
    • 13.3.10.1 Geographic Distribution of Supply Chain Revenue
  • 13.3.11 Total Quantum Technology Market Including Supply Chain
• 13.4 Quantum Workforce and Talent Market
  • 13.4.1 Why Workforce Matters
  • 13.4.2 The Quantum Talent Pyramid
  • 13.4.3 University Programs and Degrees
  • 13.4.4 Industry Training Programs
  • 13.4.5 Government Workforce Initiatives
  • 13.4.6 Compensation Benchmarks
  • 13.4.7 Workforce Market Forecast

14 COMPANY PROFILES (354 company profiles)

15 RESEARCH METHODOLOGY

16 TERMS AND DEFINITIONS

17 REFERENCES