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The Global Quantum 2.0 Market 2026-2036

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    Report

  • 632 Pages
  • February 2026
  • Region: Global
  • Future Markets, Inc
  • ID: 6217934

Global Quantum 2.0 Market Forecast to Surpass $50 Billion by 2036 Driven by Breakthroughs in Quantum Computing Sensing and Communications

The term "Quantum 2.0" refers to the second quantum revolution - a transformative shift from passively understanding quantum mechanics to actively engineering and controlling quantum systems at the individual particle level. While the first quantum revolution of the early-to-mid 20th century gave rise to technologies that rely on quantum physics but do not directly manipulate quantum states - such as transistors, lasers, MRI machines, and semiconductors - Quantum 2.0 represents humanity's ability to deliberately harness phenomena like superposition, entanglement, and quantum coherence to build fundamentally new technologies with capabilities far exceeding their classical counterparts.

The Quantum 2.0 market encompasses four primary technology pillars: quantum computing, quantum sensing, quantum communications, and quantum simulation. Quantum computing leverages qubits to solve certain computational problems exponentially faster than classical computers, with applications spanning drug discovery, financial optimization, cryptography, and artificial intelligence. Quantum sensing exploits the extreme sensitivity of quantum systems to external perturbations, enabling unprecedented precision in measurements of time, magnetic fields, gravity, and inertial forces. Quantum communications, including quantum key distribution (QKD) and quantum random number generation (QRNG), provide theoretically unhackable security based on the fundamental laws of physics. Quantum simulation allows researchers to model complex molecular and material systems that are intractable for classical computers, accelerating breakthroughs in pharmaceuticals, chemicals, and materials science.

The market has witnessed unprecedented investment growth, with cumulative private funding exceeding $5 billion since 2012 and government initiatives worldwide committing over $40 billion to quantum research and development. Major national programmes include the United States National Quantum Initiative, the European Union's €1 billion Quantum Flagship, the United Kingdom's £1 billion National Quantum Technologies Programme, and China's estimated $15 billion quantum investment strategy. This surge in funding reflects the recognition that quantum technologies represent both a critical economic opportunity and a strategic national capability for the 21st century.

End-use industries driving Quantum 2.0 adoption span virtually every sector of the economy. Financial services institutions are exploring quantum algorithms for portfolio optimization, risk analysis, and fraud detection. Pharmaceutical and healthcare companies are leveraging quantum simulation for drug discovery and molecular modelling. Aerospace and defence organizations are deploying quantum sensors for navigation, secure communications, and threat detection. Energy and utilities companies are investigating quantum optimization for grid management and materials discovery for next-generation batteries. The automotive industry is applying quantum computing to battery chemistry, autonomous vehicle development, and supply chain optimization.

The market faces significant challenges that must be addressed to achieve widespread commercialization. These include the need for improved qubit coherence times and error rates, the development of fault-tolerant quantum error correction, the scaling of quantum systems to commercially relevant sizes, the reduction of extreme cooling requirements for certain platforms, and the cultivation of a skilled quantum workforce. Additionally, the emergence of quantum computers poses an existential threat to current cryptographic infrastructure, driving urgent demand for post-quantum cryptography solutions.

Despite these challenges, the Quantum 2.0 market is projected to experience robust growth over the forecast period. The total addressable market across quantum computing, sensing, communications, and related technologies is expected to grow from approximately $3 billion in 2026 to over $50 billion by 2036, representing a compound annual growth rate exceeding 30%. Quantum computing hardware, software, and services will constitute the largest segment, followed by quantum sensing and quantum communications. The competitive landscape features a diverse ecosystem of technology giants, well-funded startups, national laboratories, and academic institutions. Companies are pursuing multiple qubit modalities - including superconducting, trapped ion, neutral atom, photonic, silicon spin, and topological approaches - each offering distinct advantages in scalability, coherence, and manufacturability. As the market matures, consolidation, strategic partnerships, and the emergence of dominant technology platforms are anticipated to reshape the industry structure and accelerate the path toward practical quantum advantage.

The Global Quantum 2.0 Market 2026-2036 provides comprehensive analysis of the second quantum revolution - a transformative technological shift enabling humanity to actively engineer and control quantum systems at the individual particle level. This definitive market research report delivers in-depth coverage of quantum computing, quantum sensing, quantum communications, quantum simulation, and quantum machine learning technologies, offering strategic insights for investors, technology developers, end-users, and policymakers navigating this rapidly evolving landscape.

Quantum 2.0 technologies harness fundamental quantum mechanical phenomena including superposition, entanglement, and quantum coherence to deliver capabilities far exceeding classical systems. The market encompasses quantum computers utilizing superconducting, trapped ion, neutral atom, photonic, silicon spin, topological, and diamond-defect qubit platforms. Quantum sensing applications span atomic clocks, magnetometers (SQUIDs, OPMs, TMR, NV centers), gravimeters, gyroscopes, image sensors, RF sensors, quantum radar and LiDAR, and single photon detectors delivering unprecedented measurement precision. Quantum communications technologies including quantum key distribution (QKD), quantum random number generators (QRNGs), and post-quantum cryptography (PQC) provide theoretically unbreakable security foundations for critical infrastructure protection. Quantum simulation - utilizing neutral atom, trapped ion, superconducting circuit, and photonic platforms - enables molecular and chemical simulation, materials discovery, high-energy physics research, condensed matter physics, and drug discovery applications intractable for classical computers.

This report delivers detailed technology assessments, competitive landscape analysis, and granular ten-year market forecasts segmented by technology, application, end-use industry, and geography. Investment analysis covers cumulative funding exceeding $5 billion since 2012, with government initiatives worldwide committing over $40 billion to quantum research and development. Regional analysis examines quantum ecosystems across North America, Europe, Asia-Pacific, and emerging markets, including detailed coverage of national quantum initiatives in the United States, China, European Union, United Kingdom, Germany, France, Netherlands, Japan, South Korea, Australia, Singapore, and India.

End-use market analysis provides actionable intelligence across pharmaceuticals and drug discovery, financial services, chemicals and materials science, transportation and automotive, aerospace and defence, energy and utilities, healthcare, telecommunications, and government sectors. The report examines quantum machine learning applications, quantum chemistry simulation capabilities, and the emerging quantum materials supply chain including superconductors, photonic integrated circuits, VCSELs, semiconductor single photon detectors, nanomaterials, and synthetic diamond.

Technology readiness assessments, SWOT analyses, and detailed roadmaps enable strategic planning across hardware platforms, software ecosystems, and application domains. Extensive company profiles deliver competitive intelligence on over 150 quantum technology developers, enabling informed partnership, investment, and procurement decisions.

Report contents include:

  • Quantum 2.0 market definition and key findings
  • Technology readiness assessment by platform
  • Investment landscape analysis 2012-2026 (by technology segment, application, company, region)
  • Global government funding and initiatives
  • Market drivers, challenges, and SWOT analysis
  • Quantum 2.0 market map and value chain
  • Ten-year market forecasts 2026-2036 (by technology, end-use industry, region)
  • Introduction to Quantum 2.0 Technologies
    • First and second quantum revolutions
    • Quantum mechanics principles (superposition, entanglement, coherence, tunneling)
    • Quantum 2.0 technology ecosystem
    • Classical vs. quantum technologies comparison
    • Enabling technologies, infrastructure, and standards development
  • Quantum Computing
    • Quantum algorithms (Shor's, Grover's, VQE, QAOA)
    • Benchmarking and performance metrics (qubit count, gate fidelity, coherence times, quantum volume)
    • Hardware platforms analysis (superconducting, trapped ion, neutral atom, silicon spin, topological, photonic, diamond-defect, quantum annealers)
    • Architectural approaches (modular vs. single core, heterogeneous multi-qubit)
    • Infrastructure requirements and data center integration
    • Quantum computing software and cloud-based services (QCaaS)
    • Error correction and fault tolerance
    • Market forecasts (hardware, software, services, installed base by system and technology)
  • Quantum Sensing
    • Atomic clocks (bench/rack-scale, chip-scale, optical)
    • Quantum magnetic field sensors (SQUIDs, OPMs, TMR, NV centers)
    • Quantum gravimeters
    • Quantum gyroscopes and inertial sensors
    • Quantum image sensors
    • Quantum radar and LiDAR
    • Quantum RF sensors
    • Single photon detectors (SPADs, SNSPDs)
    • Quantum navigation
    • Quantum sensor components
    • Market forecasts (by sensor type, volume, price, end-use industry)
  • Quantum Communications
    • Quantum key distribution (QKD protocols: BB84, CV-QKD, DV-QKD, MDI-QKD; fiber-based and satellite QKD)
    • Quantum random number generators (entropy sources, standards development, applications)
    • Post-quantum cryptography (lattice-based, code-based, hash-based, multivariate; NIST standardization)
    • Quantum networks and quantum internet (repeaters, memory, entanglement distribution)
    • Market forecasts by technology and end-use industry
  • Quantum Machine Learning
    • Classical vs. quantum computing paradigms for ML
    • QML algorithms (quantum neural networks, variational quantum classifiers, quantum kernel methods)
    • Advantages, challenges, and limitations
    • QML applications by industry
    • QML roadmap and market forecasts
  • Quantum Simulation
    • Analog vs. digital quantum simulation
    • Quantum simulation platforms (neutral atom, trapped ion, superconducting circuit, photonic)
    • Applications (molecular/chemical simulation, materials discovery, high-energy physics, condensed matter physics, drug discovery and protein folding)
    • Quantum chemistry simulation
    • SWOT analysis and market forecasts
  • End-Use Markets and Applications
    • Pharmaceuticals and drug discovery (molecular simulations, genomics, protein folding, diagnostics)
    • Financial services (portfolio optimization, risk assessment, algorithmic trading, fraud detection)
    • Chemicals and materials science (molecular modeling, catalyst design, battery design, carbon capture)
    • Transportation and automotive (battery chemistry, autonomous vehicles, supply chain optimization)
    • Aerospace and defence (navigation, secure communications, simulation)
    • Energy and utilities (grid optimization, renewable energy, carbon capture)
    • Healthcare and medical (MEG/MRI imaging, diagnostics, personalized medicine)
    • Telecommunications (network optimization, quantum-secure networks)
    • Government and public sector
    • Quantum chemistry and artificial intelligence
  • Materials in Quantum Technology
    • Materials for quantum computing, sensing, and communications
    • Superconductors (value chain, fabrication, SQUIDs, SNSPDs, KIDs, TESs)
    • Photonics and silicon photonics (PICs for quantum computing, sensing, communications; photonic packaging)
    • VCSELs for quantum sensing
    • Semiconductor single photon detectors
    • Nanomaterials (2D materials, carbon nanotubes, MOFs)
    • Artificial diamond (supply chain, quantum grade diamond, silicon-vacancy memory)
    • Materials market forecasts
  • Regional Market Analysis
    • North America (United States, Canada)
    • Europe (EU initiatives, United Kingdom, Germany, France, Netherlands)
    • Asia-Pacific (China, Japan, South Korea, Australia, Singapore, India)
    • Rest of World
    • Government initiatives comparison
  • Consolidated Market Forecasts 2026-2036
    • Total quantum 2.0 market
    • By technology segment (computing, sensing, communications, machine learning)
    • By end-use industry
    • By region
  • Company Profiles
    • 150 company profiles with technology descriptions, products, funding, and strategic positioning

Table of Contents

1 EXECUTIVE SUMMARY
1.1 The Second Quantum Revolution: Quantum 2.0 Defined
1.2 Market Overview and Key Findings
1.3 Current Quantum Technology Market Landscape
1.3.1 Key Developments 2024-2026
1.3.2 Technology Readiness Assessment
1.4 Quantum Technologies Investment Landscape
1.4.1 Total Market Investments 2012-2026
1.4.2 By Technology Segment
1.4.3 By Application
1.4.4 By Company
1.4.5 By Region
1.4.5.1 North America
1.4.5.2 Asia-Pacific
1.4.5.3 Europe
1.4.5.4 Rest of World
1.5 Global Government Funding and Initiatives
1.6 Market Drivers and Growth Factors
1.7 Challenges for Quantum Technologies Adoption
1.8 Quantum 2.0 Market Map
1.9 SWOT Analysis
1.10 Quantum 2.0 Value Chain
1.11 Global Market Forecast 2026-2036
1.11.1 Total Market Revenues
1.11.2 By Technology Segment
1.11.3 By End-Use Industry
1.11.4 By Region

2 INTRODUCTION TO QUANTUM 2.0 TECHNOLOGIES
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 Tunneling
2.3 The Quantum 2.0 Technology Ecosystem
2.4 Comparison: Classical vs. Quantum Technologies
2.5 Enabling Technologies and Infrastructure
2.6 Standards Development

3 QUANTUM COMPUTING
3.1 What is Quantum Computing?
3.2 Quantum Algorithms
3.2.1 Shor's Algorithm
3.2.2 Grover's Algorithm
3.2.3 Variational Quantum Eigensolver (VQE)
3.2.4 Quantum Approximate Optimization Algorithm (QAOA)
3.3 Benchmarking and Performance Metrics
3.3.1 Qubit Count
3.3.2 Gate Fidelity
3.3.3 Coherence Times
3.3.4 Quantum Volume
3.4 Quantum Computing Hardware Platforms
3.4.1 Superconducting Qubits
3.4.1.1 Technology Description
3.4.1.2 Initialization, Manipulation, and Readout
3.4.1.3 Materials
3.4.1.4 Hardware Architecture
3.4.1.5 Market Players
3.4.1.6 Roadmap
3.4.1.7 SWOT Analysis
3.4.2 Trapped Ion Qubits
3.4.3 Technology Description
3.4.3.1 Initialization, Manipulation, and Readout
3.4.3.2 Hardware
3.4.3.3 Materials
3.4.3.4 Market Players
3.4.3.5 Roadmap
3.4.3.6 SWOT Analysis
3.4.4 Neutral Atom Qubits
3.4.4.1 Technology Description
3.4.4.2 Initialization, Manipulation, and Readout
3.4.4.3 Market Players
3.4.4.4 Roadmap
3.4.4.5 SWOT Analysis
3.4.5 Silicon Spin Qubits
3.4.5.1 Technology Description
3.4.5.2 Initialization, Manipulation, and Readout
3.4.5.3 Quantum Dots
3.4.5.4 Integration with CMOS Electronics
3.4.5.5 Market Players
3.4.5.6 Roadmap
3.4.5.7 SWOT Analysis
3.4.6 Topological Qubits
3.4.6.1 Technology Description
3.4.6.2 Cryogenic Cooling
3.4.6.3 Initialization, Manipulation, and Readout
3.4.6.4 Scaling Topological Qubit Arrays
3.4.6.5 Market Players
3.4.6.6 Roadmap
3.4.6.7 SWOT Analysis
3.4.7 Photonic Qubits
3.4.7.1 Technology Description
3.4.7.2 Initialization, Manipulation, and Readout
3.4.7.3 Hardware Architecture
3.4.7.4 Market Players
3.4.7.5 Roadmap
3.4.7.6 SWOT Analysis
3.4.8 Diamond-Defect (NV Center) Qubits
3.4.8.1 Technology Description
3.4.8.2 Materials
3.4.8.3 Market Players
3.4.8.4 Roadmap
3.4.8.5 SWOT Analysis
3.4.9 Quantum Annealers
3.4.9.1 Technology Description
3.4.9.2 Commercial Applications
3.4.9.3 Market Players
3.4.9.4 Roadmap
3.4.9.5 SWOT Analysis
3.5 Architectural Approaches
3.5.1 Modular vs. Single Core
3.5.2 Heterogeneous Multi-Qubit Architectures
3.6 Quantum Computing Infrastructure Requirements
3.7 Quantum Computing Software
3.7.1 Development Platforms
3.7.2 Cloud-Based Services (QCaaS)
3.7.3 Market Players
3.8 Business Models
3.9 Error Correction and Fault Tolerance
3.10 Quantum Computing in Data Centers
3.11 Market Challenges
3.12 Market Opportunities
3.13 Market Forecasts
3.13.1 Total Market Revenues
3.13.2 Hardware Revenues
3.13.3 Software and Services Revenues
3.13.4 Installed Base Forecast by System
3.13.5 Installed Base Forecast by Technology
3.13.6 Pricing Analysis

4 QUANTUM SENSING
4.1 What is Quantum Sensing?
4.2 Quantum Sensing Principles
4.3 Comparison: Classical vs. Quantum Sensors
4.4 Value Proposition for Quantum Sensors
4.5 Applications Overview
4.6 Atomic Clocks
4.6.1 Technology Overview
4.6.2 Quartz Crystal vs. Atomic Clocks
4.6.3 Types of Atomic Clocks
4.6.3.1 Bench/Rack-Scale Atomic Clocks
4.6.3.2 Chip-Scale Atomic Clocks (CSAC)
4.6.3.3 Optical Atomic Clocks
4.6.4 New Modalities in Research
4.6.5 End Users and Addressable Markets
4.6.6 Market Players
4.7 Quantum Magnetic Field Sensors
4.7.1 Technology Overview
4.7.1.1 Measuring Magnetic Fields
4.7.1.2 Sensitivity
4.7.1.3 Motivation for Use
4.7.2 Superconducting Quantum Interference Devices (SQUIDs)
4.7.2.1 Operating Principle
4.7.2.2 Applications
4.7.2.3 Market Players
4.7.2.4 SWOT Analysis
4.7.3 Optically Pumped Magnetometers (OPMs)
4.7.3.1 Operating Principle
4.7.3.2 Applications
4.7.3.3 Miniaturization
4.7.3.4 Navigation Applications
4.7.3.5 MEMS Manufacturing
4.7.3.6 Market Players
4.7.3.7 SWOT Analysis
4.7.4 Tunneling Magnetoresistance (TMR) Sensors
4.7.4.1 Operating Principle
4.7.4.2 Applications
4.7.4.3 Market Players
4.7.4.4 SWOT Analysis
4.7.5 Nitrogen-Vacancy (N-V) Center Sensors
4.7.5.1 Operating Principle
4.7.5.2 Applications
4.7.5.3 Synthetic Diamonds
4.7.5.4 Market Players
4.7.5.5 SWOT Analysis
4.7.6 Market Forecasts by Type
4.8 Quantum Gravimeters
4.8.1 Technology Overview
4.8.2 Operating Principle
4.8.3 Applications
4.8.4 Commercial Deployment
4.8.5 Comparison with Other Technologies
4.8.6 Market Players
4.8.7 Roadmap
4.8.8 Market Forecasts
4.9 Quantum Gyroscopes and Inertial Sensors
4.9.1 Technology Overview
4.9.2 Comparison with MEMS and Optical Gyroscopes
4.9.3 Markets and Applications
4.9.4 Market Players
4.9.5 Roadmap
4.9.6 Market Forecasts
4.10 Quantum Image Sensors
4.10.1 Types and Key Features
4.10.2 Applications
4.10.3 Market Players
4.11 Quantum Radar and LiDAR
4.11.1 Technology Overview
4.11.2 Comparison with Conventional Systems
4.11.3 Applications
4.11.4 Market Forecasts
4.12 Quantum RF Sensors
4.12.1 Value Proposition
4.12.2 Types of Quantum RF Sensors
4.12.3 Markets
4.12.4 Technology Transition Milestones
4.12.5 Market Forecasts
4.13 Single Photon Detectors
4.13.1 Technology Overview
4.13.2 Single-Photon Avalanche Diodes (SPADs)
4.13.3 Superconducting Nanowire SPDs (SNSPDs)
4.13.4 Applications
4.13.5 Technology Comparison
4.13.6 Market Players
4.13.7 Roadmap
4.14 Quantum Navigation
4.15 Quantum Sensor Components
4.16 Market and Technology Challenges
4.17 Market Opportunities
4.18 Quantum Sensors Market Forecasts
4.18.1 By Sensor Type
4.18.2 By Volume
4.18.3 By Sensor Price
4.18.4 By End-Use Industry

5 QUANTUM COMMUNICATIONS
5.1 Overview of Quantum Communications
5.2 Main Types of Quantum Communications
5.3 Quantum Key Distribution (QKD)
5.3.1 Technology Overview
5.3.2 QKD Protocols
5.3.2.1 BB84 Protocol
5.3.2.2 CV-QKD (Continuous Variable)
5.3.2.3 DV-QKD (Discrete Variable)
5.3.2.4 MDI-QKD (Measurement Device Independent)
5.3.3 Fiber-Based QKD
5.3.4 Free-Space and Satellite QKD
5.3.5 Applications
5.3.6 Market Players
5.3.7 Market Forecasts by End-Use Industry
5.4 Quantum Random Number Generators (QRNGs)
5.4.1 Technology Overview
5.4.2 Advantages
5.4.3 QRNG Product Design and Technology Evolution
5.4.4 Entropy Sources
5.4.4.1 Photon Sources and Detection
5.4.4.2 Electron Tunnelling
5.4.4.3 Double Quantum
5.4.4.4 Radioactive Decay
5.4.4.5 Blended vs. Non-Blended Sources
5.4.5 High Throughput as Key Differentiator
5.4.6 Standards Development
5.4.6.1 NIST Standards
5.4.6.2 ITU Standards
5.4.6.3 Other Standards Organizations
5.4.7 Applications
5.4.7.1 Quantum Security and QKD
5.4.7.2 QRNGs in Casinos and Lotteries
5.4.7.3 QRNGs in Mobile Phones and Other Mobile Devices
5.4.7.4 QRNGs and IoT Security
5.4.7.5 Government and Defense Applications
5.4.7.6 Enterprise Networks and Data Centers
5.4.7.7 Automotive Applications
5.4.7.8 Online Gaming
5.4.8 Market Players
5.4.9 Market Forecasts
5.5 Post-Quantum Cryptography (PQC)
5.5.1 Overview and Threat Landscape
5.5.2 PQC Approaches
5.5.2.1 Lattice-Based Cryptography
5.5.2.2 Code-Based Cryptography
5.5.2.3 Hash-Based Signatures
5.5.2.4 Multivariate Cryptography
5.5.3 NIST Standardization Process
5.5.4 Market Players
5.5.5 Market Forecasts
5.6 Quantum Networks and Quantum Internet
5.6.1 Quantum Repeaters
5.6.2 Quantum Memory
5.6.3 Entanglement Distribution
5.7 Market Challenges
5.8 Market Opportunities

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
6.7.1 Quantum Neural Networks
6.7.2 Variational Quantum Classifiers
6.7.3 Quantum Kernel Methods
6.8 Advantages of QML
6.8.1 Improved Optimization and Generalization
6.8.2 Quantum Advantage in ML
6.8.3 Training Advantages and Opportunities
6.8.4 Improved Accuracy
6.9 Challenges and Limitations
6.9.1 Hardware Constraints
6.9.2 Costs
6.9.3 Nascent Technology
6.9.4 Training Challenges
6.9.5 Quantum Memory Issues
6.10 QML Applications
6.11 QML Roadmap
6.12 Market Players
6.13 Market Forecasts

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

8 END-USE MARKETS AND APPLICATIONS
8.1 Overview
8.2 Pharmaceuticals and Drug Discovery
8.2.1 Market Overview
8.2.2 Drug Discovery Applications
8.2.3 Molecular Simulations
8.2.4 Genomics
8.2.5 Protein and RNA Folding
8.2.6 Diagnostics
8.2.7 Market Players
8.3 Financial Services
8.3.1 Market Overview
8.3.2 Portfolio Optimization
8.3.3 Risk Assessment
8.3.4 Algorithmic Trading
8.3.5 Fraud Detection
8.3.6 Market Players
8.4 Chemicals and Materials Science
8.4.1 Market Overview
8.4.2 Molecular Modeling and Simulation
8.4.3 Catalyst Design
8.4.4 Materials Discovery
8.4.5 Battery Design
8.4.6 Carbon Capture
8.4.7 Market Players
8.5 Transportation and Automotive
8.5.1 Market Overview
8.5.2 Battery Chemistry Optimization
8.5.3 Autonomous Vehicles
8.5.4 Supply Chain and Logistics Optimization
8.5.5 Traffic Optimization
8.5.6 Market Players
8.6 Aerospace and Defense
8.6.1 Market Overview
8.6.2 Navigation and Positioning
8.6.3 Secure Communications
8.6.4 Simulation and Optimization
8.7 Energy and Utilities
8.7.1 Grid Optimization
8.7.2 Renewable Energy Integration
8.7.3 Carbon Capture Optimization
8.8 Healthcare and Medical
8.8.1 Medical Imaging (MEG, MRI)
8.8.2 Diagnostics
8.8.3 Personalized Medicine
8.9 Telecommunications
8.9.1 Network Optimization
8.9.2 Quantum-Secure Networks
8.10 Government and Public Sector
8.11 Quantum Chemistry and Artificial Intelligence

9 MATERIALS IN QUANTUM TECHNOLOGY
9.1 Overview
9.1.1 Material Platforms for Quantum Technologies
9.2 Materials for Quantum Computing
9.2.1 Overview
9.2.2 Hardware Agnostic Infrastructure Platforms
9.2.3 Materials Opportunities in Quantum Computing
9.3 Materials for Quantum Sensing
9.3.1 Overview of Materials for Quantum Sensing
9.3.2 Specialized Components for Atomic and Diamond-Based Quantum Sensing
9.3.3 Key Players in Components for Quantum Sensing Technologies
9.3.4 Roadmap for Components in Quantum Sensing
9.3.5 Quantum Foundries for Chip-Scale Quantum Sensors
9.4 Materials for Quantum Communications
9.4.1 Main Form-Factor Approaches for QRNG Devices
9.4.2 Entanglement Swapping and Optical Switches
9.4.3 Chip-Scale QKD and the PIC Market
9.4.4 Materials Opportunities in Quantum Networking and Communications
9.5 Superconductors in Quantum Technology
9.5.1 Overview: Superconductors
9.5.2 Applications
9.5.3 Critical Temperature and Superconductor Material Choice
9.5.4 Critical Material Supply Chain Considerations
9.5.5 Superconductor Value Chain in Quantum Technology
9.5.6 Room Temperature Superconductors and Quantum Technology
9.6 Superconducting Quantum Circuits
9.6.1 Introduction
9.6.2 Transmon Superconducting Qubits: Structure, Materials, and Fabrication
9.6.3 Fabricating Superconducting Qubits
9.6.4 Defects and Sources of Noise for Superconducting Quantum Circuits
9.7 Superconducting Quantum Interference Devices (SQUIDs)
9.8 Superconducting Nanowire Single Photon Detectors (SNSPDs)
9.9 Kinetic Inductance Detectors (KIDs) and Transition Edge Sensors (TESs)
9.10 Photonics, Silicon Photonics and Optics in Quantum Technology
9.10.1 Photonic Integrated Circuits (PICs) for Quantum Technology
9.10.2 PICs for Photonic Quantum Computing
9.10.3 PICs for Trapped Ion and Neutral Atom Quantum Computing
9.10.3.1 PICs for Trapped Ion and Neutral Atom Systems
9.10.3.2 Materials Challenges for Fully Integrated Trapped-Ion Chips
9.10.3.3 PICs for Trapped Ion Quantum Computing
9.10.3.4 Silicon Nitride PDKs for Quantum-Relevant Wavelengths
9.10.3.5 PICs for Neutral Atom Quantum Computers
9.10.3.6 PICs for Atomic Clocks, RF Sensors, and Quantum Computers
9.10.3.7 Photonic Materials for Atomic Sensing and Computing
9.10.4 Photonics for Quantum Networks and Communications
9.10.5 Photonic Packaging for Quantum Technologies
9.11 VCSELs for Quantum Sensing
9.12 Semiconductor Single Photon Detectors
9.13 Nanomaterials for Quantum Technology
9.13.1 Overview
9.13.2 2D Materials
9.13.3 Single-Walled Carbon Nanotubes
9.13.4 MOFs
9.14 Artificial Diamond for Quantum Technology
9.14.1 Overview
9.14.2 Supply Chain and Materials for Diamond-Based Quantum Computers
9.14.3 Quantum Grade Diamond
9.14.4 Silicon-Vacancy in Diamond Quantum Memory
9.15 Materials Market Forecasts

10 REGIONAL MARKET ANALYSIS
10.1 North America
10.1.1 United States
10.1.2 Canada
10.2 Europe
10.2.1 European Union Initiatives
10.2.2 United Kingdom
10.2.3 Germany
10.2.4 France
10.2.5 Netherlands
10.2.6 Other European Markets
10.3 Asia-Pacific
10.3.1 China
10.3.2 Japan
10.3.3 South Korea
10.3.4 Australia
10.3.5 Singapore
10.3.6 India
10.4 Rest of World
10.5 Government Initiatives Comparison

11 CONSOLIDATED MARKET FORECASTS 2026-2036
11.1 Total Quantum 2.0 Market
11.2 Quantum Computing Market Forecasts
11.3 Quantum Sensing Market Forecasts
11.4 Quantum Communications Market Forecasts
11.5 Quantum Machine Learning Market Forecasts
11.6 Market Forecasts by End-Use Industry
11.7 Market Forecasts by Region

12 COMPANY PROFILES
12.1 Quantum Computing Hardware Companies
12.1.1 Superconducting Qubit Companies (14 company profiles)
12.1.2 Trapped Ion Qubit Companies (7 company profiles)
12.1.3 Neutral Atom Qubit Companies (5 company profiles)
12.1.4 Photonic Qubit Companies (4 company profiles)
12.1.5 Silicon Spin Qubit Companies (7 company profiles)
12.1.6 Other Companies (5 company profiles)
12.2 Quantum Sensing Companies
12.2.1 Atomic Clocks (7 company profiles)
12.2.2 Quantum Magnetometers (SQUIDs, OPMs, NV Centers, TMR) (11 company profiles)
12.2.3 Quantum Gravimeters (3 company profiles)
12.2.4 Quantum Gyroscopes/Inertial Sensors (3 company profiles)
12.2.5 Single Photon Detectors (5 company profiles)
12.2.6 General Quantum Sensing (5 company profiles)
12.3 Quantum Key Distribution (QKD) Companies (24 company profiles)
12.4 Quantum Random Number Generator (QRNG) Companies (8 company profiles)
12.5 Post-Quantum Cryptography (PQC) Companies (14 company profiles)
12.6 Quantum Software & Algorithms Companies (13 company profiles)
12.7 Quantum Machine Learning Companies (7 company profiles)
12.8 Quantum Simulation Companies (6 company profiles)
12.9 Quantum Computing for Pharmaceuticals/Drug Discovery (5 company profiles)
12.10 Quantum Computing for Chemicals/Materials (5 company profiles)
12.11 Quantum Computing for Finance (4 company profiles)
12.12 Quantum Computing for Transportation/Automotive (4 company profiles)
12.13 Quantum Materials & Components Companies (8 company profiles)

13 REFERENCES
LIST OF TABLES
Table 1. Quantum 2.0 technology overview and key characteristics
Table 2. Technology Readiness Level (TRL) assessment by quantum platform
Table 3. Quantum technology investment 2012-2026 (millions USD)
Table 4. Investment by technology segment
Table 5. Investment by application
Table 6. Top funded quantum technology companies
Table 7. Global government quantum initiatives and funding
Table 8. Market drivers for quantum technologies
Table 9. Challenges for quantum technologies adoption
Table 10. Total quantum 2.0 market forecast 2026-2036 (billions USD)
Table 11. Comparison of quantum computing with classical computing
Table 12. Applications of quantum algorithms
Table 13. Quantum computer benchmarking metrics
Table 14. Qubit performance benchmarking
Table 15. Coherence times for different qubit implementations
Table 16. Logical qubit progress
Table 17. Commercial Readiness Level by technology
Table 18. Superconducting materials properties
Table 19. Superconducting qubit market players
Table 20. Initialization, manipulation and readout for trapped ion quantum computers
Table 21. Ion trap market players
Table 22. Initialization, manipulation and readout for neutral-atom quantum computers
Table 23. Pros and cons of cold atom quantum computers and simulators
Table 24. Neural atom qubit market players
Table 25. Initialization, manipulation, and readout methods for silicon-spin qubits
Table 26. Silicon spin qubits market players
Table 27. Initialization, manipulation and readout of topological qubits
Table 28. Topological qubits market players
Table 29. Pros and cons of photon qubits
Table 30. Comparison of photon polarization and squeezed states
Table 31. Initialization, manipulation and readout of photonic platform quantum computers
Table 32. Photonic qubit market players
Table 33. Key materials for developing diamond-defect spin-based quantum computers
Table 34. Diamond-defect qubits market players
Table 35. Commercial applications for quantum annealing
Table 36. Pros and cons of quantum annealers
Table 37. Quantum annealers market players
Table 38. Modular vs. single core architectures
Table 39. Heterogeneous architectural approaches by provider
Table 40. Quantum computing infrastructure requirements
Table 41. Quantum computing software market players
Table 42. Business models in quantum computing
Table 43. Market challenges in quantum computing
Table 44. Market opportunities in quantum computing
Table 45. Global market for quantum computing - hardware, software & services 2026-2036 (billions USD)
Table 46. Global revenue from quantum computing hardware 2026-2036 (billions USD)
Table 47. Quantum computer installed base forecast 2026-2036 (units)
Table 48. Forecast for installed base of quantum computers by technology 2026-2036 (units)
Table 49. Quantum computing hardware pricing analysis
Table 50. Technology approaches for enabling quantum sensing
Table 51. Comparison between classical and quantum sensors
Table 52. Value proposition for quantum sensors
Table 53. Applications in quantum sensors
Table 54. Key challenges and limitations of quartz crystal clocks vs. atomic clocks
Table 55. New modalities being researched to improve atomic clocks
Table 56. Atomic clocks end users and addressable markets
Table 57. Companies developing high-precision quantum time measurement
Table 58. Key players in atomic clocks 4.6.7 SWOT Analysis
Table 59. Key market inflection points and technology transitions 4.6.9 Market Forecasts
Table 60. Global market for atomic clocks 2026-2036 (billions USD)
Table 61. Global market for bench/rack-scale atomic clocks 2026-2036 (millions USD)
Table 62. Global market for chip-scale atomic clocks 2026-2036 (millions USD)
Table 63. Comparative analysis of key performance parameters of magnetic field sensors
Table 64. Types of magnetic field sensors
Table 65. Market opportunity for different types of quantum magnetic field sensors
Table 66. Performance of magnetic field sensors
Table 67. Applications of SQUIDs
Table 68. Market opportunities for SQUIDs
Table 69. Key players in SQUIDs
Table 70. Applications of optically pumped magnetometers (OPMs)
Table 71. MEMS manufacturing techniques for miniaturized OPMs
Table 72. Key players in optically pumped magnetometers (OPMs)
Table 73. Applications for TMR (tunneling magnetoresistance) sensors
Table 74. Market players in TMR sensors
Table 75. Applications of N-V center magnetic field sensors
Table 76. Quantum grade diamond specifications
Table 77. Synthetic diamond value chain for quantum sensing
Table 78. Key players in N-V center magnetic field sensors
Table 79. Global market forecasts for quantum magnetic field sensors by type 2026-2036 (millions USD)
Table 80. Applications of quantum gravimeters
Table 81. Comparative table between quantum gravity sensing and other technologies
Table 82. Key players in quantum gravimeters
Table 83. Global market for quantum gravimeters 2026-2036 (millions USD)
Table 84. Comparison of quantum gyroscopes with MEMS gyroscopes and optical gyroscopes
Table 85. Markets and applications for quantum gyroscopes
Table 86. Key players in quantum gyroscopes
Table 87. Global market for quantum gyroscopes 2026-2036 (millions USD)
Table 88. Types of quantum image sensors and their key features
Table 89. Applications of quantum image sensors
Table 90. Key players in quantum image sensors
Table 91. Comparison of quantum radar versus conventional radar and LiDAR technologies
Table 92. Applications of quantum radar
Table 93. Global market for quantum radar and LiDAR 2026-2036 (millions USD)
Table 94. Value proposition of quantum RF sensors
Table 95. Types of quantum RF sensors
Table 96. Markets for quantum RF sensors
Table 97. Technology transition milestones
Table 98. Global market for quantum RF sensors 2026-2036 (millions USD)
Table 99. SNSPD market players
Table 100. Single photon detector technology comparison
Table 101. Quantum sensor component categories and functions
Table 102. Challenges for quantum sensor components
Table 103. Market and technology challenges in quantum sensing
Table 104. Market opportunities in quantum sensors
Table 105. Markets for quantum sensors by type 2026-2036 (millions USD)
Table 106. Global market for quantum sensors by volume 2026-2036 (units)
Table 107. Global market for quantum sensors by sensor price 2026-2036
Table 108. Global market for quantum sensors by end-use industry 2026-2036 (millions USD)
Table 109. Main types of quantum communications
Table 110. Applications in quantum communications
Table 111. QKD protocols comparison
Table 112. QKD market players by country
Table 113. Markets for QKD systems by end-use industry 2026-2036 (millions USD)
Table 114. QRNG entropy sources comparison
Table 115. QRNG standards development
Table 116. QRNG applications
Table 117. Key players developing QRNG products
Table 118. Optical QRNG by company
Table 119. QRNG market forecasts 2026-2036 (millions USD)
Table 120. Post-quantum cryptography approaches comparison
Table 121. Market players in post-quantum cryptography
Table 122. PQC market forecasts 2026-2036 (millions USD)
Table 123. Market challenges in quantum communications
Table 124. Market opportunities in quantum communications
Table 125. Classical vs. quantum computing paradigms
Table 126. QML approaches
Table 127. Advantages of QML
Table 128. Challenges and limitations of QML
Table 129. QML applications by industry
Table 130. QML market players
Table 131. QML market forecasts 2026-2036 (millions USD)
Table 132. Comparison of analog and digital quantum simulation approaches
Table 133. Quantum simulation platforms comparison
Table 134. Applications of quantum simulation by industry
Table 135. Applications in quantum chemistry and artificial intelligence (AI)
Table 136. Market challenges in quantum chemistry and AI
Table 137. Market players in quantum chemistry and AI
Table 138. Quantum simulation market players
Table 139. Quantum simulation market forecasts 2026-2036 (millions USD)
Table 140. Markets and applications for quantum computing
Table 141. Total addressable market (TAM) for quantum computing
Table 142. End-user industry investment in quantum readiness
Table 143. Market players in quantum technologies for pharmaceuticals
Table 144. Quantum computing in finance applications
Table 145. Market players in quantum computing for financial services
Table 146. Market players in quantum computing for chemicals
Table 147. Automotive applications of quantum computing
Table 148. Market players in quantum computing for transportation
Table 149. Applications in quantum chemistry and artificial intelligence
Table 150. Market challenges in quantum chemistry and AI
Table 151. Market players in quantum chemistry and AI
Table 152. Market opportunities in quantum chemistry and AI
Table 153. Material platforms for quantum technologies
Table 154. Overview of materials opportunities in quantum computing
Table 155. Materials opportunities in quantum computing by platform
Table 156. Key players in components for quantum sensing technologies
Table 157. Challenges for quantum sensor components
Table 158. Materials opportunities in quantum networking and communications
Table 159. Applications of superconductors in quantum technology
Table 160. Critical temperature of superconducting materials for quantum technology
Table 161. Critical temperature role in superconductor material selection
Table 162. Superconductor value chain in quantum technology
Table 163. Uses of superconductors in quantum technology
Table 164. Transmon superconducting qubit structure and materials
Table 165. Defects and sources of noise for superconducting quantum circuits
Table 166. Summary of manufacturing processes for superconducting quantum chips
Table 167. Fabricating superconducting chips: SQUIDs vs. quantum computing chips
Table 168. PIC materials used by quantum technology companies
Table 169. Materials challenges for fully integrated trapped-ion chips
Table 170. Market readiness levels of CNT applications in quantum
Table 171. Nanomaterials in quantum technology
Table 172. Overview of diamond in quantum technology
Table 173. Material advantages and disadvantages of diamond for quantum applications
Table 174. Market forecast for superconducting chips for quantum technologies 2026-2036
Table 175. Market Forecast for PICs for Quantum Technologies 2026-2036
Table 176. Market forecast for diamond for quantum technologies 2026-2036
Table 177. Global government quantum initiatives comparison
Table 178. Government funding by country
Table 179. Total quantum 2.0 market 2026-2036 (billions USD)
Table 180. Global market for quantum computing 2026-2036 (billions USD)
Table 181. Markets for quantum sensors by type 2026-2036 (millions USD)
Table 182. Markets for QKD systems 2026-2036 (millions USD)
Table 183. QML market forecasts 2026-2036 (millions USD)
Table 184. Quantum 2.0 market by end-use industry 2026-2036
Table 185. Quantum 2.0 market by region 2026-2036

LIST OF FIGURES
Figure 1. Quantum computing development timeline
Figure 2. Quantum technology investments 2012-2026 (millions USD), total
Figure 3. Quantum technology investment by sector
Figure 4. Quantum computing public and industry funding by region
Figure 5. National quantum initiatives and funding timeline
Figure 6. Quantum 2.0 market map
Figure 7. SWOT analysis for quantum 2.0 market
Figure 8. Quantum 2.0 value chain
Figure 9. Total quantum 2.0 market 2026-2036 (billions USD)
Figure 10. First and second quantum revolutions comparison
Figure 11. Quantum mechanics principles visualization
Figure 12. Quantum 2.0 technology ecosystem
Figure 13. Quantum computing architectures overview
Figure 14. Superconducting quantum computer schematic
Figure 15. Components and materials used in a superconducting qubit
Figure 16. Interior of IBM quantum computing system
Figure 17. IBM Q System One quantum computer
Figure 18. Superconducting hardware roadmap
Figure 19. SWOT analysis for superconducting quantum computers
Figure 20. Ion-trap quantum computer
Figure 21. Various ways to trap ions
Figure 22. Universal Quantum's shuttling ion architecture
Figure 23. Trapped-ion hardware roadmap
Figure 24. SWOT analysis for trapped-ion quantum computing
Figure 25. Neutral atoms arranged in various configurations
Figure 26. Neutral atom hardware roadmap
Figure 27. SWOT analysis for neutral-atom quantum computers
Figure 28. CMOS silicon spin qubit
Figure 29. Silicon quantum dot qubits
Figure 30. Silicon-spin hardware roadmap
Figure 31. SWOT analysis for silicon spin quantum computers
Figure 32. Topological quantum computing roadmap
Figure 33. SWOT analysis for topological qubits
Figure 34. Photonic quantum hardware roadmap
Figure 35. SWOT analysis for photonic quantum computers
Figure 36. NV center components
Figure 37. Diamond defect supply chain
Figure 38. Diamond defect hardware roadmap
Figure 39. SWOT analysis for diamond-defect quantum computers
Figure 40. D-Wave quantum annealer
Figure 41. Roadmap for quantum annealing hardware
Figure 42. SWOT analysis for quantum annealers
Figure 43. Quantum software development platforms
Figure 44. Global market for quantum computing 2026-2036 (billions USD)
Figure 45. Global revenue from quantum computing hardware (billions USD)
Figure 46. Quantum computer installed base forecast 2026-2036 (units)
Figure 47. Forecast for installed base by technology 2026-2036 (units)
Figure 48. Quantum sensor industry market map
Figure 49. Strontium lattice optical clock
Figure 50. NIST's compact optical clock
Figure 51. SWOT analysis for atomic clocks 4.6.8 Roadmap
Figure 52. Atomic clocks market roadmap
Figure 53. Global market for atomic clocks 2026-2036 (billions USD)
Figure 54. Global market for bench/rack-scale atomic clocks 2026-2036
Figure 55. Global market for chip-scale atomic clocks 2026-2036
Figure 56. Quantum magnetometers market roadmap
Figure 57. Principle of SQUID magnetometer
Figure 58. SWOT analysis for SQUIDs
Figure 59. SWOT analysis for OPMs
Figure 60. Tunneling magnetoresistance mechanism and TMR ratio formats
Figure 61. SWOT analysis for TMR sensors
Figure 62. SWOT analysis for N-V center magnetic field sensors
Figure 63. Global market for quantum magnetic field sensors by type 2026-2036
Figure 64. Quantum gravimeter
Figure 65. Quantum gravimeters market roadmap
Figure 66. Global market for quantum gravimeters 2026-2036
Figure 67. Inertial quantum sensors roadmap
Figure 68. Quantum RF sensors roadmap
Figure 69. Single photon detectors roadmap
Figure 70. Roadmap for quantum sensing components and applications
Figure 71. Global market for quantum sensors by type 2026-2036
Figure 72. Global market for quantum sensors by volume 2026-2036
Figure 73. Global market for quantum sensors by sensor price 2026-2036
Figure 74. Global market for quantum sensors by end-use industry 2026-2036
Figure 75. Markets for QKD systems 2026-2036
Figure 76. QRNG industry structure and influences
Figure 77. QRNG market forecasts 2026-2036
Figure 78. QML phases and evolution
Figure 79. QML roadmap
Figure 80. QML market forecasts 2026-2036
Figure 81. Quantum simulation application roadmap
Figure 82. SWOT analysis for quantum simulation
Figure 83. Quantum simulation market 2026-2036
Figure 84. End-user industry investment in quantum readiness
Figure 85. Roadmap for quantum sensing components and their applications
Figure 86. Components of an Optical QRNG Device
Figure 87. Basic Principle and Components of a QKD System
Figure 88. Total quantum 2.0 market 2026-2036 (billions USD)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • 1QBit
  • A* Quantum
  • Adaptive Finance Technologies
  • Agnostiq
  • Airbus
  • Alibaba Quantum Laboratory
  • Alice & Bob
  • Aliro Quantum
  • Alpine Quantum Technologies (AQT)
  • AOSense
  • Archer Materials
  • Arqit
  • Atom Computing
  • Bleximo
  • Bosch
  • C12 Quantum Electronics
  • Classiq Technologies
  • ColdQuanta/Infleqtion
  • Crypto4A
  • Crypta Labs
  • D-Wave Systems
  • Delft Circuits
  • Diraq
  • evolutionQ
  • Exail/Muquans
  • FormFactor
  • Good Chemistry Company
  • Google Quantum AI
  • Horizon Quantum Computing
  • IBM Quantum
  • IBM Research
  • ID Quantique
  • Infineon
  • Intel Labs
  • IonQ
  • IQM Quantum Computers
  • ISARA
  • KETS Quantum Security
  • Keysight Technologies
  • levelQuantum
  • LQUOM
  • LuxQuanta
  • Maybell Quantum
  • memQ
  • Menten AI
  • Microsoft