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Quantum Computing in Automotive Market - Global Forecast 2025-2032

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    Report

  • 180 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 5788942
UP TO OFF until Jan 01st 2026
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Quantum computing in the automotive sector is redefining how businesses innovate, advance operational efficiencies, and strengthen systems resilience. Senior leaders are finding new opportunities to lead in a rapidly evolving market by leveraging this technology for sustained competitiveness.

Market Snapshot: Quantum Computing in Automotive Market

The Quantum Computing in Automotive Market is poised for significant expansion, moving from USD 411.22 million in 2024 to USD 503.96 million in 2025, with projections reaching USD 2.46 billion by 2032. This steady upward trend, backed by a CAGR of 25.09%, reflects the sector’s rapid adoption among original equipment manufacturers and supply networks. Automotive organizations are actively deploying quantum solutions to enhance product innovation cycles and surpass traditional computation limits, ultimately boosting product quality and operational output.

Scope & Segmentation of Quantum Computing in Automotive Market

  • Component: Includes Control Electronics, Quantum Processors, Quantum Software, and Services. Each forms part of a strategic foundation for integrating and managing quantum infrastructure within automotive settings.
  • Technology Type: Covers Photonic Quantum Computing, Quantum Annealing, Superconducting Quantum Computing, Topological Qubits, and Trapped Ions. These technologies are central to advancing high-fidelity simulations, logistics optimization, and predictive modeling.
  • Deployment Type: Encompasses both Cloud-Based and On-Premise options. Cloud-Based deployments provide scalable, remote access to quantum resources, while On-Premise solutions offer greater control and compliance for organizations focused on data governance.
  • Application: Ranges from Autonomous & Connected Vehicles and Battery Optimization to Production Planning & Scheduling and Route Planning & Traffic Management. These applications streamline safety, supply chains, and resource allocation in the automotive industry.
  • End-User: Incorporates Automotive Manufacturers, Parts Suppliers, and Research Institutions. Collaborative initiatives among these groups accelerate innovation and drive intellectual property development.
  • Geographical Coverage: Includes the Americas, Europe, Middle East & Africa, and Asia-Pacific. Notably, leading centers such as the United States, Germany, China, and Japan drive research and industry partnerships across these regions.
  • Key Companies: Features industry leaders such as Accenture PLC, Amazon Web Services Inc., Capgemini Group, D-Wave Quantum Inc., Google LLC by Alphabet Inc., Honeywell International Inc., Intel Corporation, International Business Machines Corporation, IonQ Inc., Isara Corporation, Microsoft Corporation, ORCA Computing Limited, PASQAL SAS, PsiQuantum Corp., QC Ware Corp., and Quantinuum Ltd. Their ongoing initiatives shape industry standards and operational advancement.

Key Takeaways for Senior Automotive Decision-Makers

  • Quantum computing supports engineering teams in resolving modeling and optimization challenges previously unattainable with classical systems, enhancing R&D effectiveness.
  • Partnerships among manufacturers, suppliers, and research institutions accelerate the creation of specialized quantum tools, particularly for innovative battery systems and dynamic transport network solutions.
  • Cloud-based and on-premise quantum options offer flexibility in investment and deployment, making it possible to align technology strategies with specific operational requirements and compliance needs.
  • Early pilot programs in critical areas such as battery management and real-time vehicle network performance have led to greater process efficiencies and established scalable frameworks for larger rollouts.
  • Collaboration with quantum experts and structured employee training are crucial to maintaining a talent pipeline, ensuring organizations can address growing complexity as applications mature.

Strategic Impact of Tariff Changes

With tariff adjustments on the horizon for 2025, automotive enterprises are adapting sourcing and operational strategies. Increasing investment in domestic research, high-tech development, and regional manufacturing is helping organizations manage new risks associated with both quantum and automotive technologies. Although short-term procurement costs may rise, collaborative purchasing and the formation of local innovation clusters support supply chain resilience. Enhanced government support and international partnerships continue to play an essential role in stabilizing access to advanced quantum components amid shifting global regulations.

Research Methodology & Data Sources

This report is based on direct engagement with industry executives and quantum experts, combined with detailed secondary research from scientific literature and sector roadmaps. The methodology incorporates quantitative modeling, scenario analysis, and expert peer review to deliver trusted insights tailored for senior automotive stakeholders.

Why This Report Matters to Decision-Makers

  • Offers clear, relevant guidance tailored for leaders on quantum computing’s transformative effects across automotive engineering, manufacturing, and future mobility solutions.
  • Supports precise benchmarking and strategic technology planning to ensure organizational objectives are aligned across diverse regions.
  • Equips decision-makers with actionable frameworks for capital allocation, partnership development, and workforce planning as quantum computing evolves into mainstream practice.

Conclusion

Quantum computing is accelerating measurable transformation in the automotive sector. With strategic insight and careful planning, senior leaders can position their organizations for sustainable progress and adaptability in a shifting global environment.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of quantum algorithms for optimizing autonomous vehicle route planning under real-time traffic constraints
5.2. Development of quantum-resistant cybersecurity frameworks for vehicle-to-everything communication systems
5.3. Application of quantum machine learning to predictive maintenance and sensor data fusion in electric vehicles
5.4. Collaborative research partnerships between automakers and quantum hardware startups to accelerate quantum advantage
5.5. Deployment of quantum-inspired optimization techniques for supply chain and manufacturing process improvements
5.6. Evaluation of quantum technologies for advanced materials simulation to improve battery performance and longevity
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Quantum Computing in Automotive Market, by Component
8.1. Control Electronics
8.2. Quantum Processors
8.3. Quantum Software
8.4. Services
9. Quantum Computing in Automotive Market, by Technology Type
9.1. Photonic Quantum Computing
9.2. Quantum Annealing
9.3. Superconducting Quantum Computing
9.4. Topological Qubits
9.5. Trapped Ions
10. Quantum Computing in Automotive Market, by Deployment Type
10.1. Cloud-Based
10.2. On-Premise
11. Quantum Computing in Automotive Market, by Application
11.1. Autonomous & Connected Vehicle
11.2. Battery Optimization
11.3. Production Planning & Scheduling
11.4. Route Planning & Traffic Management
12. Quantum Computing in Automotive Market, by End-User
12.1. Automotive Manufacturers
12.2. Parts Suppliers
12.3. Research Institutions
13. Quantum Computing in Automotive Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Quantum Computing in Automotive Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Quantum Computing in Automotive Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Accenture PLC
16.3.2. Amazon Web Services, Inc.
16.3.3. Capgemini Group
16.3.4. D-Wave Quantum Inc.
16.3.5. Google LLC by Alphabet Inc.
16.3.6. Honeywell International Inc.
16.3.7. Intel Corporation
16.3.8. International Business Machines Corporation
16.3.9. IonQ, Inc.
16.3.10. Isara Corporation
16.3.11. Microsoft Corporation
16.3.12. ORCA Computing Limited
16.3.13. PASQAL SAS
16.3.14. PsiQuantum, Corp.
16.3.15. QC Ware Corp.
16.3.16. Quantinuum Ltd.
List of Tables
List of Figures

Samples

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Companies Mentioned

The key companies profiled in this Quantum Computing in Automotive market report include:
  • Accenture PLC
  • Amazon Web Services, Inc.
  • Capgemini Group
  • D-Wave Quantum Inc.
  • Google LLC by Alphabet Inc.
  • Honeywell International Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • IonQ, Inc.
  • Isara Corporation
  • Microsoft Corporation
  • ORCA Computing Limited
  • PASQAL SAS
  • PsiQuantum, Corp.
  • QC Ware Corp.
  • Quantinuum Ltd.

Table Information