Automotive Quantum Computing Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Automotive Quantum Computing Market, valued at USD 226 million in 2023, will grow at 36% CAGR from 2024 to 2032. Advances in quantum hardware are driving this growth by enabling more powerful computations, which enhance capabilities such as route optimization and real-time data analysis. These advancements are pivotal for innovation in autonomous driving and material science, spurring interest and investment in the automotive sector. Automotive manufacturers are collaborating with quantum computing companies to utilize advanced algorithms for enhancing vehicle design, boosting autonomous driving capabilities, and advancing material research. By integrating quantum computing's power with automotive technologies, these partnerships aim to drive innovation and tackle intricate industry challenges.

The automotive quantum computing industry is segregated based on component, deployment type, application, and region.

The software segment secured 39% share in 2023, driven by its critical role in harnessing quantum algorithms and optimizing complex computations. Software solutions enable automakers to utilize quantum computing for advanced simulations, vehicle design optimization, and real-time data analysis. By providing the necessary tools to implement quantum algorithms efficiently, the software segment supports innovations in autonomous driving and material science. As demand for quantum-powered applications grows, software's pivotal role in integrating and applying quantum technologies solidifies its leading position in the market.

The cloud segment held around 70% of the market share in 2023. The integration of cloud deployment with quantum technologies is transforming the automotive industry by offering scalable, on-demand access to cutting-edge quantum processing power. This capability allows automakers to conduct intricate simulations, optimize vehicle systems, and expedite development processes without the need for costly hardware investments. Additionally, cloud-based quantum solutions foster greater collaboration, lower operational costs, and boost the efficiency of automotive research and development, driving significant advancements in the sector.

North America automotive quantum computing market captured 40% share in 2023, propelled by its robust technology infrastructure and ample investments in quantum research and development. The region's advanced automotive industry increasingly leverage quantum computing to enhance vehicle design, optimize autonomous driving systems, and accelerate material research. Strong collaboration between automotive manufacturers and quantum computing firms further propels market growth. Also, North America's focus on technological innovation and strategic partnerships underscores its role as a crucial contributor to the expansion of the automotive quantum computing industry.

Product Code: 5777

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Technology provider
- 3.2.2 Integrators and consulting firms
- 3.2.3 Cloud service provider
- 3.2.4 Automotive manufacturer
- 3.2.5 End user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increased demand for private jets from high-net-worth individuals
  - 3.8.1.2 Growing popularity of automotive quantum computing among business travelers
  - 3.8.1.3 Rising demand for emergency medical services and air ambulance transportation
  - 3.8.1.4 Growth of e-commerce and the need for faster delivery times
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High cost of quantum computing hardware and software
  - 3.8.2.2 Technical complexity
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Software
5.3 Hardware
5.4 Services

Chapter 6 Market Estimates and Forecast, By Deployment Type, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Cloud
6.3 On-premises

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Vehicle routing and traffic optimization
7.3 Autonomous driving
7.4 Battery optimization
7.5 Supply chain management
7.6 Cybersecurity
7.7 Fuel-cell optimization
7.8 Others

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Spain
- 8.3.5 Italy
- 8.3.6 Russia
- 8.3.7 Nordics
- 8.3.8 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Southeast Asia
- 8.4.7 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
8.6 MEA
- 8.6.1 UAE
- 8.6.2 South Africa
- 8.6.3 Saudi Arabia
- 8.6.4 Rest of MEA

Chapter 9 Company Profiles

9.1 D-Wave Systems Inc.
9.2 Fujitsu Limited
9.3 Google
9.4 Huawei Technologies Co., Ltd.
9.5 IBM
9.6 IonQ
9.7 ISARA Corporation
9.8 Microsoft Corporation
9.9 PASQAL
9.10 PsiQuantum
9.11 QC Ware Forge
9.12 Q-CTRL
9.13 QpiAI Tech
9.14 Quantinuum
9.15 Rigetti Computing, Inc.
9.16 Strangeworks, Inc.
9.17 The International Business Machines Corporation
9.18 Xanadu Quantum Technologies
9.19 Zapata Computing