The Global Market for Quantum Technologies 2024-2034

October 2023 | | ID: GBC80D141A0CEN
Future Markets, Inc.

Abstracts

The global quantum technologies market is an emerging industry with the potential to revolutionize computing, cryptography, sensing, imaging, and communications. Billions of dollars have been invested so far, reflecting the massive interest from governments, established tech giants, and venture capitalists.

The Global Market for Quantum Technologies 2024-2034 is a comprehensive 360 page+ overview of the global quantum technology industry, companies, research trends, applications, and future roadmap across computing, cryptography, cybersecurity, communications, sensing, materials science, and more. Report contents include:

• Analysis of quantum computing covering the technology, hardware approaches like superconducting and topological qubits, software stack, and applications in optimization, machine learning, chemistry, etc.
• Evaluation of quantum software platforms, algorithms, applications. Quantum chemistry simulations and AI as a key application area.
• Analysis of quantum communications including quantum networks, cryptography, and the vision for a quantum internet.
• Analysis of quantum sensing including atomic clocks, quantum radar, quantum imaging, and potential applications.
• Analysis of key start-ups, tech giants, research initiatives, and investments.
• Evaluation of the emerging field of quantum batteries.
• Global market forecasts to 2034 across quantum computing, communications, cryptography, batteries, chemistry, and sensing segments.
• Assessment of technological challenges, opportunities, and use cases driving commercial adoption.
• 200+ company profiles of startups and corporations working on quantum technologies globally. Companies profiled include Diraq, LQUOM, memQ, Nanofiber Quantum Technologies, Nomad Atomics, Oxford Ionics, PASQAL, Planckian, Polaris Quantum Biotech (POLARISqb), PsiQuantum, Quantum Bridge, QUANTier, Quantum Brilliance, Quantum Motion, Quside Technologies S.L., Quobly, SemiQon, Silicon Extreme, Silicon Quantum Computing (SQC) and Sparrow Quantum.

Contents

1 RESEARCH METHODOLOGY


2 OVERVIEW OF QUANTUM TECHNOLOGIES

2.1 First and second quantum revolutions
2.2 Current market
  2.2.1 Key developments
2.3 Investment Landscape
2.4 Global government initiatives
2.5 Challenges for Quantum Technologies Adoption

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
  3.1.4 Competition from other technologies
  3.1.5 Quantum algorithms
    3.1.5.1 Quantum Software Stack
    3.1.5.2 Quantum Machine Learning
    3.1.5.3 Quantum Simulation
    3.1.5.4 Quantum Optimization
    3.1.5.5 Quantum Cryptography
      3.1.5.5.1 Quantum Key Distribution (QKD)
      3.1.5.5.2 Post-Quantum Cryptography
  3.1.6 Hardware
    3.1.6.1 Qubit Technologies
      3.1.6.1.1 Superconducting Qubits
        3.1.6.1.1.1 Technology description
        3.1.6.1.1.2 Materials
        3.1.6.1.1.3 Market players
        3.1.6.1.1.4 Swot analysis
      3.1.6.1.2 Trapped Ion Qubits
        3.1.6.1.2.1 Technology description
        3.1.6.1.2.2 Materials
          3.1.6.1.2.2.1 Integrating optical components
          3.1.6.1.2.2.2 Incorporating high-quality mirrors and optical cavities
          3.1.6.1.2.2.3 Engineering the vacuum packaging and encapsulation
          3.1.6.1.2.2.4 Removal of waste heat
        3.1.6.1.2.3 Market players
        3.1.6.1.2.4 Swot analysis
      3.1.6.1.3 Silicon Spin Qubits
        3.1.6.1.3.1 Technology description
        3.1.6.1.3.2 Quantum dots
        3.1.6.1.3.3 Market players
        3.1.6.1.3.4 SWOT analysis
      3.1.6.1.4 Topological Qubits
        3.1.6.1.4.1 Technology description
          3.1.6.1.4.1.1 Cryogenic cooling
        3.1.6.1.4.2 Market players
        3.1.6.1.4.3 SWOT analysis
      3.1.6.1.5 Photonic Qubits
        3.1.6.1.5.1 Technology description
        3.1.6.1.5.2 Market players
        3.1.6.1.5.3 Swot analysis
      3.1.6.1.6 Neutral atom (cold atom) qubits
        3.1.6.1.6.1 Technology description
        3.1.6.1.6.2 Market players
        3.1.6.1.6.3 Swot analysis
      3.1.6.1.7 Diamond-defect qubits
        3.1.6.1.7.1 Technology description
        3.1.6.1.7.2 SWOT analysis
        3.1.6.1.7.3 Market players
      3.1.6.1.8 Quantum annealers
        3.1.6.1.8.1 Technology description
        3.1.6.1.8.2 SWOT analysis
        3.1.6.1.8.3 Market players
    3.1.6.2 Architectural Approaches
  3.1.7 Software
    3.1.7.1 Technology description
    3.1.7.2 Cloud-based services- QCaaS (Quantum Computing as a Service).
    3.1.7.3 Market players
3.2 Market challenges
3.3 SWOT analysis
3.4 Industry developments 2020-2023
3.5 Quantum computing value chain
3.6 Markets and applications for quantum computing
  3.6.1 Pharmaceuticals
    3.6.1.1 Market overview
      3.6.1.1.1 Drug discovery
      3.6.1.1.2 Diagnostics
      3.6.1.1.3 Molecular simulations
      3.6.1.1.4 Genomics
      3.6.1.1.5 Proteins and RNA folding
    3.6.1.2 Market players
  3.6.2 Chemicals
    3.6.2.1 Market overview
    3.6.2.2 Market players
  3.6.3 Transportation
    3.6.3.1 Market overview
    3.6.3.2 Market players
  3.6.4 Financial services
    3.6.4.1 Market overview
    3.6.4.2 Market players

4 QUANTUM CHEMISTRY AND ARTIFICAL INTELLIGENCE (AI)

4.1 Technology description
4.2 Applications
4.3 SWOT analysis
4.4 Market challenges
4.5 Market players

5 QUANTUM COMMUNICATIONS

5.1 Technology description
  5.1.1 Types
  5.1.2 Quantum Random Numbers Generators
  5.1.3 Quantum Key Distribution (QKD)
  5.1.4 Post-quantum cryptography
  5.1.5 Quantum homomorphic cryptography
  5.1.6 Quantum Teleportation
  5.1.7 Quantum Networks
  5.1.8 Quantum Memory
  5.1.9 Quantum Internet
5.2 Applications
5.3 SWOT analysis
5.4 Market challenges
5.5 Market players

6 QUANTUM SENSING

6.1 Technology description
  6.1.1 Quantum Sensing Principles
  6.1.2 SWOT analysis
  6.1.3 Atomic Clocks
    6.1.3.1 High frequency oscillators
      6.1.3.1.1 Emerging oscillators
    6.1.3.2 Caesium atoms
    6.1.3.3 Self-calibration
    6.1.3.4 Optical atomic clocks
      6.1.3.4.1 Chip-scale optical clocks
    6.1.3.5 Companies
    6.1.3.6 SWOT analysis
  6.1.4 Quantum Magnetic Field Sensors
    6.1.4.1 Introduction
    6.1.4.2 Motivation for use
    6.1.4.3 Market opportunity
    6.1.4.4 Superconducting Quantum Interference Devices (Squids)
      6.1.4.4.1 Applications
      6.1.4.4.2 Key players
      6.1.4.4.3 SWOT analysis
    6.1.4.5 Optically Pumped Magnetometers (OPMs)
      6.1.4.5.1 Applications
      6.1.4.5.2 Key players
      6.1.4.5.3 SWOT analysis
    6.1.4.6 Tunneling Magneto Resistance Sensors (TMRs)
      6.1.4.6.1 Applications
      6.1.4.6.2 Key players
      6.1.4.6.3 SWOT analysis
    6.1.4.7 Nitrogen Vacancy Centers (N-V Centers)
      6.1.4.7.1 Applications
      6.1.4.7.2 Key players
      6.1.4.7.3 SWOT analysis
  6.1.5 Quantum Gravimeters
    6.1.5.1 Technology description
    6.1.5.2 Applications
    6.1.5.3 Key players
    6.1.5.4 SWOT analysis
  6.1.6 Quantum Gyroscopes
    6.1.6.1 Technology description
      6.1.6.1.1 Inertial Measurement Units (IMUs)
      6.1.6.1.2 Atomic quantum gyroscopes
    6.1.6.2 Applications
    6.1.6.3 Key players
    6.1.6.4 SWOT analysis
  6.1.7 Quantum Image Sensors
    6.1.7.1 Technology description
    6.1.7.2 Applications
    6.1.7.3 SWOT analysis
    6.1.7.4 Key players
  6.1.8 Quantum Radar
    6.1.8.1 Technology description
    6.1.8.2 Applications
  6.1.9 Quantum chemical sensors
  6.1.10 Quantum NEM and MEMs
    6.1.10.1 Technology description
6.2 Market and technology challenges

7 QUANTUM BATTERIES

7.1 Technology description
7.2 Types
7.3 Applications
7.4 SWOT analysis
7.5 Market challenges
7.6 Market players

8 MARKET ANALYSIS

8.1 Market map for quantum technologies
8.2 Key industry players
  8.2.1 Start-ups
  8.2.2 Tech Giants
  8.2.3 National Initiatives
8.3 Investment funding
  8.3.1 Venture Capital
  8.3.2 M&A
  8.3.3 Corporate Investment
  8.3.4 Government Funding
8.4 Global market revenues 2018-2034
  8.4.1 Quantum computing
  8.4.2 Other segments
    8.4.2.1 Quantum sensors
    8.4.2.2 QKD systems

9 COMPANY PROFILES 202 (215 COMPANY PROFILES)


10 TERMS AND DEFINITIONS


11 REFERENCES

List Of Tables

LIST OF TABLES

Table 1. First and second quantum revolutions.
Table 2. Global government initiatives in quantum technologies.
Table 3. Applications for quantum computing
Table 4. Comparison of classical versus quantum computing.
Table 5. Key quantum mechanical phenomena utilized in quantum computing.
Table 6. Types of quantum computers.
Table 7. Comparative analysis of quantum computing with classical computing, quantum-inspired computing, and neuromorphic computing.
Table 8. Different computing paradigms beyond conventional CMOS.
Table 9. Applications of quantum algorithms.
Table 10. QML approaches.
Table 11. Coherence times for different qubit implementations.
Table 12. Superconducting qubit market players.
Table 13. Initialization, manipulation and readout for trapped ion quantum computers.
Table 14. Ion trap market players.
Table 15. Initialization, manipulation, and readout methods for silicon-spin qubits.
Table 16. Silicon spin qubits market players.
Table 17. Initialization, manipulation and readout of topological qubits.
Table 18. Topological qubits market players.
Table 19. Pros and cons of photon qubits.
Table 20. Comparison of photon polarization and squeezed states.
Table 21. Initialization, manipulation and readout of photonic platform quantum computers.
Table 22. Photonic qubit market players.
Table 23. Initialization, manipulation and readout for neutral-atom quantum computers.
Table 24. Pros and cons of cold atoms quantum computers and simulators
Table 25. Neural atom qubit market players.
Table 26. Initialization, manipulation and readout of Diamond-Defect Spin-Based Computing.
Table 27. Key materials for developing diamond-defect spin-based quantum computers.
Table 28. Diamond-defect qubits market players.
Table 29. Pros and cons of quantum annealers.
Table 30. Quantum annealers market players.
Table 31. Quantum computing software market players.
Table 32. Market challenges in quantum computing.
Table 33. Quantum computing industry developments 2020-2023.
Table 34. Markets and applications for quantum computing.
Table 35. Market players in quantum technologies for pharmaceuticals.
Table 36. Market players in quantum computing for chemicals.
Table 37. Automotive applications of quantum computing,
Table 38. Market players in quantum computing for transportation.
Table 39. Market players in quantum computing for financial services
Table 40. Applications in quantum chemistry and artificial intelligence (AI).
Table 41. Market challenges in quantum chemistry and Artificial Intelligence (AI).
Table 42. Market players in quantum chemistry and AI.
Table 43. main types of quantum communications.
Table 44. Applications in quantum communications.
Table 45. Market challenges in quantum communications.
Table 46. Market players in quantum communications.
Table 47. Comparison between classical and quantum sensors.
Table 48. Applications in quantum sensors.
Table 49. Technology approaches for enabling quantum sensing
Table 50. Value proposition for quantum sensors.
Table 51. Key challenges and limitations of quartz crystal clocks vs. atomic clocks.
Table 52. New modalities being researched to improve the fractional uncertainty of atomic clocks.
Table 53. Companies developing high-precision quantum time measurement
Table 54. Key players in atomic clocks.
Table 55. Comparative analysis of key performance parameters and metrics of magnetic field sensors.
Table 56. Types of magnetic field sensors.
Table 57. Market opportunity for different types of quantum magnetic field sensors.
Table 58. Applications of SQUIDs.
Table 59. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices).
Table 60. Key players in SQUIDs.
Table 61. Applications of optically pumped magnetometers (OPMs).
Table 62. Key players in Optically Pumped Magnetometers (OPMs).
Table 63. Applications for TMR (Tunneling Magnetoresistance) sensors.
Table 64. Market players in TMR (Tunneling Magnetoresistance) sensors.
Table 65. Applications of N-V center magnetic field centers
Table 66. Key players in N-V center magnetic field sensors.
Table 67. Applications of quantum gravimeters
Table 68. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping.
Table 69. Key players in quantum gravimeters.
Table 70. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes.
Table 71. Markets and applications for quantum gyroscopes.
Table 72. Key players in quantum gyroscopes.
Table 73. Types of quantum image sensors and their key features/.
Table 74. Applications of quantum image sensors.
Table 75. Key players in quantum image sensors.
Table 76. Comparison of quantum radar versus conventional radar and lidar technologies.
Table 77. Applications of quantum radar.
Table 78. Market and technology challenges in quantum sensing.
Table 79. Comparison between quantum batteries and other conventional battery types.
Table 80. Types of quantum batteries.
Table 81. Applications of quantum batteries.
Table 82. Market challenges in quantum batteries.
Table 83. Market players in quantum batteries.
Table 84. Quantum technologies investment funding.
Table 85. Top funded quantum technology companies.

List Of Figures

LIST OF FIGURES

Figure 1. Quantum computing development timeline.
Figure 2.Quantum investments 2012-2022 (millions USD).
Figure 3. National quantum initiatives and funding.
Figure 4. An early design of an IBM 7-qubit chip based on superconducting technology.
Figure 5. Various 2D to 3D chips integration techniques into chiplets.
Figure 6. IBM Q System One quantum computer.
Figure 7. Unconventional computing approaches.
Figure 8. 53-qubit Sycamore processor.
Figure 9. Interior of IBM quantum computing system. The quantum chip is located in the small dark square at center bottom.
Figure 10. Superconducting quantum computer.
Figure 11. Superconducting quantum computer schematic.
Figure 12. Components and materials used in a superconducting qubit.
Figure 13. SWOT analysis for superconducting quantum computers:.
Figure 14. Ion-trap quantum computer.
Figure 15. Various ways to trap ions
Figure 16. Universal Quantum’s shuttling ion architecture in their Penning traps.
Figure 17. SWOT analysis for trapped-ion quantum computing.
Figure 18. CMOS silicon spin qubit.
Figure 19. Silicon quantum dot qubits.
Figure 20. SWOT analysis for silicon spin quantum computers.
Figure 21. SWOT analysis for topological qubits
Figure 22 . SWOT analysis for photonic quantum computers.
Figure 23. Neutral atoms (green dots) arranged in various configurations
Figure 24. SWOT analysis for neutral-atom quantum computers.
Figure 25. NV center components.
Figure 26. SWOT analysis for diamond-defect quantum computers.
Figure 27. D-Wave quantum annealer.
Figure 28. SWOT analysis for quantum annealers.
Figure 29. Quantum software development platforms.
Figure 30. SWOT analysis for quantum computing.
Figure 31. Quantum computing value chain.
Figure 32. SWOT analysis for quantum chemistry and AI.
Figure 33. IDQ quantum number generators.
Figure 34. SWOT analysis for quantum communications.
Figure 35. SWOT analysis for quantum sensors market.
Figure 36. NIST's compact optical clock.
Figure 37. SWOT analysis for atomic clocks.
Figure 38.Principle of SQUID magnetometer.
Figure 39. SWOT analysis for SQUIDS.
Figure 40. SWOT analysis for OPMs
Figure 41. Tunneling magnetoresistance mechanism and TMR ratio formats.
Figure 42. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors.
Figure 43. SWOT analysis for N-V Center Magnetic Field Sensors.
Figure 44. Quantum Gravimeter.
Figure 45. SWOT analysis for Quantum Gravimeters.
Figure 46. SWOT analysis for Quantum Gyroscopes.
Figure 47. SWOT analysis for Quantum image sensing.
Figure 48. Principle of quantum radar.
Figure 49. Illustration of a quantum radar prototype.
Figure 50. Schematic of the flow of energy (blue) from a source to a battery made up of multiple cells. (left)
Figure 51. SWOT analysis for quantum batteries.
Figure 52. Market map for quantum technologies industry.
Figure 53. Tech Giants quantum technologies activities.
Figure 54. Quantum Technology investment by sector, 2022.
Figure 55. Quantum computing public and industry funding to mid-2023, millions USD.
Figure 56. Global market for quantum computing, 2023-2034 (billions USD).
Figure 57. Markets for quantum sensors, by types, 2018-2034 (Millions USD).
Figure 58. Markets for QKD systems, 2018-2034 (Millions USD).
Figure 59. Archer-EPFL spin-resonance circuit.
Figure 60. IBM Q System One quantum computer.
Figure 61. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right).
Figure 62. Intel Tunnel Falls 12-qubit chip.
Figure 63. IonQ's ion trap
Figure 64. Maybell Big Fridge.
Figure 65. PsiQuantum’s modularized quantum computing system networks.
Figure 66. SemiQ first chip prototype.
Figure 67. Toshiba QKD Development Timeline.
Figure 68. Toshiba Quantum Key Distribution technology.