세계의 자동차용 양자 컴퓨팅 시장 : 컴포넌트, 기술, 전개 유형, 용도, 최종 사용자별 예측(2025-2030년)

The Quantum Computing in Automotive Market was valued at USD 825.17 million in 2023, expected to reach USD 1,001.35 million in 2024, and is projected to grow at a CAGR of 24.02%, to USD 3,724.37 million by 2030.

Quantum computing in the automotive sector represents an emerging frontier poised to revolutionize complex computations essential for vehicle innovation and optimization. At its core, quantum computing utilizes quantum bits or qubits to perform operations at speeds unattainable by classical computers, potentially advancing areas such as vehicle design simulations, autonomous driving algorithms, battery management in electric vehicles, and traffic flow optimization. The necessity stems from an industry's relentless pursuit of efficiency, sustainability, and enhanced vehicle features, where traditional computational methods lag. Key applications span materials science for lighter, more resilient car parts, optimization of logistics in manufacturing, and rapid processing of massive datasets generated by smart connected vehicles. The end-use scope is extensive, impacting automotive manufacturers, suppliers, and technology firms alike, with quantum solutions promising to streamline operations, reduce costs, and bring futuristic automotive technologies to market faster.

Market insights reveal critical growth factors such as increasing investments in quantum tech by major automotive players, collaborations with tech firms for R&D, and an evolving regulatory landscape advocating innovation in vehicle standards. Potential opportunities lie in developing dedicated quantum algorithms for the automotive sector, partnering with quantum computing start-ups, and exploring quantum-inspired technologies as interim solutions. However, challenges remain, primarily the nascent stage of quantum technologies, high costs, and a limited number of operational quantum computers. Additionally, the technical expertise gap and long timelines for practical implementation present hurdles for the industry.

To spur business growth, innovation should center on enhancing quantum algorithms that model automotive dynamics and energy efficiency, and address cybersecurity challenges inherent in autonomous and connected vehicles. Research should focus on quantum machine learning applications that leverage vehicle data for predictive maintenance and optimization. The market is characterized by rapid evolution, with opportunities for early adopters to gain competitive advantage while keeping in mind the dynamic nature of technological developments and competitive landscapes.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Quantum Computing in Automotive Market

The Quantum Computing in Automotive Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increased focus on optimizing energy efficiency of automotive systems, reducing fuel consumption and emissions
  • Rise in investments in automotive quantum computing technology
  • Growing focus to enhance the performance and safety of autonomous vehicles
• Market Restraints
  • Dearth of skilled professional coupled with need for high accuracy
• Market Opportunities
  • Rising government initiatives and investment for massive adoption of electric and hybrid vehicles
  • Surge in number of strategic partnerships and collaborations to carry out advancements in automotive quantum computing technology
• Market Challenges
  • Complex optimization problems in developing quantum computing automotive applications

Porter's Five Forces: A Strategic Tool for Navigating the Quantum Computing in Automotive Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Quantum Computing in Automotive Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Quantum Computing in Automotive Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Quantum Computing in Automotive Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Quantum Computing in Automotive Market

A detailed market share analysis in the Quantum Computing in Automotive Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Quantum Computing in Automotive Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Quantum Computing in Automotive Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Quantum Computing in Automotive Market

A strategic analysis of the Quantum Computing in Automotive Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Quantum Computing in Automotive Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Amazon Web Services, Inc., Capgemini Group, ColdQuanta, Inc., D-Wave Quantum Inc., Google LLC by Alphabet Inc., Honeywell International Inc., Intel Corporation, International Business Machines Corporation, IonQ, Inc., Isara Corporation, Microsoft Corporation, Motovis, ORCA Computing Limited, PASQAL SAS, PsiQuantum, Corp., QC Ware Corp., Quantinuum Ltd., Rigetti & Co, Inc., Rigetti & Co, LLC, Terra Quantum AG, Toshiba Digital Solutions Corporation by Toshiba Corporation, Xanadu, and Zapata Computing, Inc..

Market Segmentation & Coverage

This research report categorizes the Quantum Computing in Automotive Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Technology, market is studied across Quantum Annealing, Superconducting Qubits, Topological & Photonic, and Trapped Ions.
• Based on Deployment Type, market is studied across On-Cloud and On-Premise.
• Based on Application, market is studied across Autonomous & Connected Vehicle, Battery Optimization, Material Research, Production Planning & Scheduling, and Route Planning & Traffic Management.
• Based on End-User, market is studied across OEM and Warehousing & Distribution.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increased focus on optimizing energy efficiency of automotive systems, reducing fuel consumption and emissions
    • 5.1.1.2. Rise in investments in automotive quantum computing technology
    • 5.1.1.3. Growing focus to enhance the performance and safety of autonomous vehicles
  • 5.1.2. Restraints
    • 5.1.2.1. Dearth of skilled professional coupled with need for high accuracy
  • 5.1.3. Opportunities
    • 5.1.3.1. Rising government initiatives and investment for massive adoption of electric and hybrid vehicles
    • 5.1.3.2. Surge in number of strategic partnerships and collaborations to carry out advancements in automotive quantum computing technology
  • 5.1.4. Challenges
    • 5.1.4.1. Complex optimization problems in developing quantum computing automotive applications
• 5.2. Market Segmentation Analysis
  • 5.2.1. Components: Increasing usage of software in quantum computing in automotive to optimize complex systems
  • 5.2.2. Technology: Rising utilization of superconducting qubits for quantum computing in automotive
  • 5.2.3. Application: Expanding application of quantum computing in automotive for autonomous & connected Vehicle
  • 5.2.4. Deployment Type: Increasing popularity of on-cloud deployment of quantum computing in automotive
  • 5.2.5. End-user: Expanding usage of quantum computing by OEMs
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Quantum Computing in Automotive Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Quantum Computing in Automotive Market, by Technology

• 7.1. Introduction
• 7.2. Quantum Annealing
• 7.3. Superconducting Qubits
• 7.4. Topological & Photonic
• 7.5. Trapped Ions

8. Quantum Computing in Automotive Market, by Deployment Type

• 8.1. Introduction
• 8.2. On-Cloud
• 8.3. On-Premise

9. Quantum Computing in Automotive Market, by Application

• 9.1. Introduction
• 9.2. Autonomous & Connected Vehicle
• 9.3. Battery Optimization
• 9.4. Material Research
• 9.5. Production Planning & Scheduling
• 9.6. Route Planning & Traffic Management

10. Quantum Computing in Automotive Market, by End-User

• 10.1. Introduction
• 10.2. OEM
• 10.3. Warehousing & Distribution

11. Americas Quantum Computing in Automotive Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Quantum Computing in Automotive Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Quantum Computing in Automotive Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. PsiQuantum Expands Development Engagement and Plan for Production Ramp of Quantum Computing Technology at SkyWater's Minnesota Fab
  • 14.3.2. Strangeworks raises USD 24M to expand quantum computing ecosystem
  • 14.3.3. PsiQuantum Will Partner with DARPA to Accelerate Path to Build the World's First Utility-Scale Quantum Computer
  • 14.3.4. Xanadu and Rolls-Royce to build quantum computing tools with PennyLane
  • 14.3.5. Hyundai, Ford expand partnerships with quantum computing firms
  • 14.3.6. BosonQ Psi to Integrate the World's First Quantum-Powered Engineering Simulation Software With the Strangeworks Ecosystem
  • 14.3.7. Automakers like BMW are becoming quantum computing's early adopters
  • 14.3.8. Terra Quantum and Volkswagen Data:Lab Demonstrate Hybrid Quantum Computing Use Cases
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture PLC
• 2. Amazon Web Services, Inc.
• 3. Capgemini Group
• 4. ColdQuanta, Inc.
• 5. D-Wave Quantum Inc.
• 6. Google LLC by Alphabet Inc.
• 7. Honeywell International Inc.
• 8. Intel Corporation
• 9. International Business Machines Corporation
• 10. IonQ, Inc.
• 11. Isara Corporation
• 12. Microsoft Corporation
• 13. Motovis
• 14. ORCA Computing Limited
• 15. PASQAL SAS
• 16. PsiQuantum, Corp.
• 17. QC Ware Corp.
• 18. Quantinuum Ltd.
• 19. Rigetti & Co, Inc.
• 20. Rigetti & Co, LLC
• 21. Terra Quantum AG
• 22. Toshiba Digital Solutions Corporation by Toshiba Corporation
• 23. Xanadu
• 24. Zapata Computing, Inc.