The automotive quantum computing market is projected to grow from USD 143 million in 2026 to USD 5,203 million by 2035, at a CAGR of 35.0% from 2031 to 2035. The automotive industry has constantly focused on developing innovative technologies to advance technological expertise within electric and hybrid vehicles, fuel cell optimization, connected mobility, and automated driving features (ADAS). Immense quantum computing capabilities are projected to bring life-changing results across the entire value chain of the automotive industry.
Autonomous & connected vehicles to become the fastest-growing segment during the forecast period
Developments in autonomous vehicles will be significant in the near years. The future adoption of Level 3, 4, and 5 autonomous vehicles could result in passengers spending more time in cars and less time physically driving them. Few surveys suggest that about 90% of these autonomous vehicles will be shared, and 10% will be used for personal commuting. Owing to these advantages, quantum computing can act as a breakthrough advancement to make autonomous vehicles a reality soon with lower error margins. For instance, quantum computing algorithms can rapidly process and calculate huge amounts of data generated from LIDAR, RADAR, & image sensors, and other advanced systems. This would be helpful in training & developing intelligence within the vehicle to operate with little manual intervention. With the help of quantum optimization and simulation algorithms, it is possible to optimize this data in a fraction of the time against traditional computers, which may require years to process. Quantum computing would be useful to provide faster computation and develop meaningful insights for critical areas necessary for proper vehicle functioning. Likewise, Quantum machine algorithms can also detect objects and recognize patterns. They can potentially provide faster and more accurate results, improving the overall performance and safety of the vehicle. Rising applications of quantum computing in autonomous vehicles for different applications, such as route optimization of the autonomous vehicle, integration of data produced by various sensors, 3D object recognition, and cybersecurity, would fuel the growth of quantum computing technology for developing autonomous vehicles.
Software segment to lead the quantum computing market in the automotive industry
The software segment is projected to lead the quantum computing market in the automotive industry by component. With the rising efforts and investments by private and public entities to develop a commercially viable and fault-free physical quantum computer, the advancement in the software environment is also necessary to improve quantum computer performance. As clients from multiple industry industries continue to grow, technology providers would focus on developing sustainable quantum computing software to cater to the upcoming requirements of various industries. According to the "State of Quantum 2022 Report", 66% of companies consider software development a main priority for quantum computing technology. Established companies and multiple start-ups are expected to develop different versions of software platforms that can fill gaps in existing software and enhance the performance of quantum computers. Associated complexity, huge capital investments, and scarcity of qualified professionals required to develop physical quantum computers are expected to limit fewer new entrants in hardware development in the future. Alternatively, this will bring immense growth opportunities for software developers to integrate themselves into the existing stack to develop disruptive software and reap tremendous business revenues in the coming years
Asia Pacific is projected to be the fastest-growing market for quantum computing in the Automotive market by 2035
During the forecast period, Asia Pacific will be the fastest-growing market for quantum computing in the automotive industry. Asia Pacific has emerged as a hub for automotive production in recent years, due to which most automotive OEMs and component manufacturers are based out of Asian countries. China, India, Japan, and South Korea are major vehicle production hubs in the region and have planned some promising considerable to be invested in quantum computing technology. Further few regional players, such as Hyundai Motors and AISIN Group, have started exploring quantum computing capabilities in electric vehicle batteries, autonomous vehicles, and material research. Improving per capita income, changing consumer preferences, and tightening emission norms have further increased competition among the regional players to sustain their market hold. This quantum computing technology can help them remain competitive in the coming years.
In-depth interviews were conducted with CXOs, VPs, directors from business development, marketing, product development/innovation teams, independent consultants, and executives from various key organizations operating in this market.
- By Stake Holders: Demand Side - 20%, Supply Side - 80%
- By Designation: Director Level - 30%, C Level Executives - 10%, and Others - 60%
- By Region: Asia Pacific - 40%, Europe - 20%, and North America - 40%
Quantum computing in the automotive market is led by globally established players such as IBM Corporation (US), Microsoft Corporation (US), Amazon (US), D-Wave Systems, Inc.(US), and Rigetti & Co, LLC (US).
Research Coverage:
The study segments the automotive quantum computing market and forecasts are based on the application type (Route Planning & Traffic Management, Battery Optimization, Material Research, Autonomous, and Connected Vehicles, Production Planning and Scheduling, and others), by deployment type (Cloud, and On-premises), by component type (Software, Hardware, and Services), by Stakeholder type (OEM, Automotive tier 1 and 2, and Warehousing and Distribution), and Region (Asia Pacific, Europe, and Americas).
The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report:
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall quantum computing in the automotive market and the sub-segments. This report will help to understand the potential applications of quantum computing technology and OEM tie-ups for the use of quantum computing technology for various applications. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. This report will help stakeholders to understand the potential applications and their penetration rate in the automotive industry. This report provides insights on strategic developments by automotive companies in quantum computing technology across short-term and long-term automotive applications. This report will offer the futuristic market potential of various components such as hardware, software, and services, enabling readers to understand market investment areas. The report also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
Table of Contents
1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.3 Inclusions and Exclusions
Table 1 Quantum Computing in Automotive Market: Inclusions and Exclusions
1.4 Market Scope
1.4.1 Markets Covered
Figure 1 Market Segmentation
1.5 Currency Considered
1.6 Limitations
1.7 Stakeholders
2 Research Methodology
2.1 Research Data
Figure 2 Research Design - Quantum Computing in Automotive Market
Figure 3 Research Methodology Model
2.1.1 Secondary Data
2.1.1.1 Key Secondary Sources for Market Sizing
2.1.1.2 Key Data from Secondary Sources
2.1.2 Primary Data
2.1.2.1 Breakdown of Primary Interviews
2.1.2.2 Sampling Techniques and Data Collection Methods
2.1.2.3 Primary Participants
2.2 Market Size Estimation
2.2.1 Top-Down Approach
Figure 4 Market: Top-Down Approach
2.2.2 Factor Analysis for Market Sizing: Demand and Supply- Sides
2.3 Market Breakdown and Data Triangulation
2.4 Assumptions and Associated Risks
2.4.1 Research Assumptions
2.4.2 Limitations
3 Executive Summary
3.1 Report Summary
Figure 5 Quantum Computing in Automotive Market, by Region, 2026 Vs. 2035 (USD Million)
4 Premium Insights
4.1 Attractive Market Opportunities for Quantum Computing Providers in Automotive Industry
Figure 6 Rising Government Investments and Technical Collaborations of Oems with Quantum Computing Providers to Drive Market
4.2 Market, by Application
Figure 7 Route Planning and Traffic Management to Dominate Application Segment During Forecast Period
4.3 Market, by Deployment
Figure 8 Cloud Segment to Hold Largest Market Share (2026-2035)
4.4 Market, by Component
Figure 9 Software Segment to Have Highest Growth from 2026 to 2035
4.5 Market, by Stakeholder
Figure 10 Oem Segment Projected to Hold Maximum Market Share During Forecast Period
4.6 Market, by Region
Figure 11 Americas to Witness Highest Market Growth in 2026
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
Figure 12 Quantum Computing in Automotive Market Dynamics
5.2.1 Drivers
5.2.1.1 Increased Government Investments
Table 2 Country-Wise Overall Investments in Quantum Computing Technology
5.2.1.2 Strategic Partnerships and Collaborations
Table 3 List of Automotive Companies Collaborating with Quantum Computing Technology Providers
5.2.2 Restraints
5.2.2.1 Stability and Quantum Error Correction Issues
5.2.3 Opportunities
5.2.3.1 Rise in Sales of Electric and Hybrid Vehicles
Figure 13 Electric and Plug-In Hybrid Vehicle Sales Forecast, 2021 Vs. 2030 (Thousand Units)
5.2.3.2 Advancements in Quantum Computing Technology
5.2.4 Challenges
5.2.4.1 Lack of Skilled Professionals and Infrastructure
5.3 Impact of Quantum Computing in Automotive Industry
Figure 14 Technologies/Processes/Trends/Disruptions Impacting Buyers
5.4 Porter's Five Forces Analysis
Figure 15 Porter's Five Forces Analysis
Table 4 Porter's Five Forces Analysis
5.4.1 Threat of Substitutes
5.4.2 Threat of New Entrants
5.4.3 Bargaining Power of Buyers
5.4.4 Bargaining Power of Suppliers
5.4.5 Intensity of Competitive Rivalry
5.5 Quantum Computing in Automotive Ecosystem
Figure 16 Market Ecosystem
Table 5 Market: Role of Companies in Ecosystem
5.6 Supply Chain Analysis
Figure 17 Supply Chain Analysis: Market
5.6.1 Role of Stakeholders in Supply Chain
5.7 Case Studies
5.7.1 Quantum Computing Applications
5.7.1.1 Pharmaceutical and Healthcare
5.7.1.1.1 Accenture Labs and Biogen Applied Quantum Computing to Accelerate Drug Discovery
5.7.1.2 Banking and Finance
5.7.1.2.1 Bbva and Zapata Computing Demonstrated Potential to Speedup for Monte Carlo Simulations for Credit Valuation Adjustments (Cva) and Derivative Pricing
5.7.1.3 Aerospace & Defense
5.7.1.3.1 Ionq and Airbus Developed Quantum Computing Solutions for Aircraft Loading
5.7.1.4 Automotive Industry
5.7.2 Daimler AG and IBM Corporation Working on Quantum Computing to Understand Simulation of Li-Sulfur Batteries
5.7.3 Bmw Group and Pasqal Computing Developed Quantum Computing System to Improve Auto Design and Manufacturing
5.7.4 Hyundai Motor Company and Ionq Working on Quantum Computing for 3D Object Detection for Autonomous Vehicles
5.7.5 Volkswagen and Google to Develop Quantum Computers for Material Research and Traffic Management
5.8 Key Conferences and Events in 2022-2023
5.8.1 Market: Upcoming Conferences and Events
5.9 Regulatory Standards
5.9.1 P1913 - Software-Defined Quantum Communication
5.9.2 P7130 - Standard for Quantum Technologies Definitions
5.9.3 P7131 - Standard for Quantum Technologies Definitions
5.10 Quantum Computing Vs. Existing Digital Platform
5.11 Technology Analysis
5.11.1 Development of Quantum Communication Technology
5.11.2 Development of Error Mitigation Approach and Dynamic Circuits for Advanced Quantum Computing System
6 Quantum Computing in Automotive Market, by Application
6.1 Introduction
6.1.1 Research Methodology
6.1.2 Assumptions
6.1.3 Industry Insights
Figure 18 Market, by Application, 2026 Vs. 2035 (USD Million)
Table 6 Market, by Application, 2026-2030 (USD Million)
Table 7 Market, by Application, 2031-2035 (USD Million)
6.2 Route Planning and Traffic Management
6.2.1 Showcases Real-Time Vehicle Traffic and Tracking
Table 8 Route Planning and Traffic Management Market, by Region, 2026-2030 (USD Million)
Table 9 Route Planning and Traffic Management Market, by Region, 2031-2035 (USD Million)
6.3 Battery Optimization
6.3.1 Provides Fast Charging and Long Driving Range
Table 10 Battery Optimization Market, by Region, 2026-2030 (USD Million)
Table 11 Battery Optimization Market, by Region, 2031-2035 (USD Million)
6.4 Material Research
6.4.1 Rising Focus on Material Composition for Enhanced Product Development
Table 12 Material Research Market, by Region, 2026-2030 (USD Million)
Table 13 Material Research Market, by Region, 2031-2035 (USD Million)
6.5 Autonomous and Connected Vehicles
6.5.1 Incorporates Adas Features
Table 14 Autonomous and Connected Vehicles Market, by Region, 2026-2030 (USD Million)
Table 15 Autonomous and Connected Vehicles Market, by Region, 2031-2035 (USD Million)
6.6 Production Planning and Scheduling
6.6.1 Helps in Production Scheduling, Inventory Management, and Quality Control
Table 16 Production Planning and Scheduling Market, by Region, 2026-2030 (USD Million)
Table 17 Production Planning and Scheduling Market, by Region, 2031-2035 (USD Million)
6.7 Others
6.7.1 Provides Predictive Maintenance and Better Supply Chain Management
Table 18 Others Market, by Region, 2026-2030 (USD Million)
Table 19 Others Market, by Region, 2031-2035 (USD Million)
7 Quantum Computing in Automotive Market, by Stakeholder
7.1 Introduction
7.1.1 Research Methodology
7.1.2 Assumptions
7.1.3 Industry Insights
Figure 19 Market, by Stakeholder, 2026 Vs. 2035 (USD Million)
Table 20 Market, by Stakeholder Type, 2026-2030 (USD Million)
Table 21 Market, by Stakeholder Type, 2031-2035 (USD Million)
7.2 Oem
7.2.1 Increasing Technical Collaboration Between Oems and Quantum Computing Suppliers
Table 22 Oem: Market, by Region, 2026-2030 (USD Million)
Table 23 Oem: Market, by Region, 2031-2035 (USD Million)
7.3 Tier 1 and 2
7.3.1 Increasing Potential Applications in Product Design and Material Research
Table 24 Tier 1 and 2: Market, by Region, 2026-2030 (USD Million)
Table 25 Tier 1 and 2: Market, by Region, 2031-2035 (USD Million)
7.4 Warehousing and Distribution
7.4.1 Assists in Supply Chain Optimization and Demand Forecasting
Table 26 Warehousing and Distribution: Market, by Region, 2026-2030 (USD Million)
Table 27 Warehousing and Distribution: Market, by Region, 2031-2035 (USD Million)
8 Quantum Computing in Automotive Market, by Component
8.1 Introduction
8.1.1 Research Methodology
8.1.2 Assumptions
8.1.3 Industry Insights
Figure 20 Market, by Component, 2026 Vs. 2035 (USD Million)
Table 28 Market, by Component, 2026-2030 (USD Million)
Table 29 Market, by Component, 2031-2035 (USD Million)
8.2 Software
8.2.1 Growing End Use and Number of Software Startups
Table 30 Software: Market, by Region, 2026-2030 (USD Million)
Table 31 Software: Market, by Region, 2031-2035 (USD Million)
8.3 Hardware
8.3.1 Rising Government and Private Investments in Quantum Hardware
Table 32 Hardware: Market, by Region, 2026-2030 (USD Million)
Table 33 Hardware: Market, by Region, 2031-2035 (USD Million)
8.4 Services
8.4.1 Increasing Access to Cloud Quantum Computing Services
Table 34 Services: Market, by Region, 2026-2030 (USD Million)
Table 35 Services: Market, by Region, 2031-2035 (USD Million)
9 Quantum Computing in Automotive Market, by Deployment
9.1 Introduction
9.1.1 Research Methodology
9.1.2 Assumptions
9.1.3 Industry Insights
Figure 21 Market, by Deployment, 2026 Vs. 2035 (USD Million)
Table 36 Market, by Deployment, 2026-2030 (USD Million)
Table 37 Market, by Deployment, 2031-2035 (USD Million)
9.2 Cloud
9.2.1 Easy Access and Less Maintenance
Table 38 Cloud: Market, by Region, 2026-2030 (USD Million)
Table 39 Cloud: Market, by Region, 2031-2035 (USD Million)
9.3 On-Premises
9.3.1 Greater Control Over Quantum Hardware and Data Security
Table 40 On-Premises: Market, by Region, 2026-2030 (USD Million)
Table 41 On-Premises: Market, by Region, 2031-2035 (USD Million)
10 Quantum Computing in Automotive Market, by Region
10.1 Introduction
10.1.1 Research Methodology
10.1.2 Assumptions
10.1.3 Industry Insights: Market, by Application Type
Figure 22 Market, 2026 Vs. 2035 (USD Million)
Table 42 Market, by Region, 2026-2030 (USD Million)
Table 43 Market, by Region, 2031-2035 (USD Million)
10.2 Asia-Pacific
Figure 23 Asia-Pacific: Market Snapshot
Table 44 Asia-Pacific: Market, by Country, 2026-2030 (USD Million)
Table 45 Asia-Pacific: Market, by Country, 2031-2035 (USD Million)
10.2.1 China
10.2.1.1 Rising Investment in Quantum Computing
Table 46 China: Market, by Application Type, 2026-2030(USD Million)
Table 47 China: Market, by Application Type, 2031-2035 (USD Million)
10.2.2 India
10.2.2.1 Rising Government Support and Collaboration with Quantum Suppliers
Table 48 India: Market, by Application Type, 2026-2030(USD Million)
Table 49 India: Market, by Application Type, 2031-2035 (USD Million)
10.2.3 Japan
10.2.3.1 Growing Government Investments and Launch of New Advanced Quantum Computers
Table 50 Japan: Market, by Application Type, 2026-2030(USD Million)
Table 51 Japan: Market, by Application Type, 2031-2035 (USD Million)
10.2.4 South Korea
10.2.4.1 Initiatives by Government and Automotive Oems
Table 52 South Korea: Market, by Application Type, 2026-2030(USD Million)
Table 53 South Korea: Market, by Application Type, 2031-2035 (USD Million)
10.3 Europe
Figure 24 Europe: Market, 2026-2035 (USD Million)
Table 54 Europe: Market, by Country, 2026-2030 (USD Million)
Table 55 Europe: Market, by Country, 2031-2035 (USD Million)
10.3.1 Germany
10.3.1.1 Government Initiatives to Spread Awareness About Importance of Quantum Computing for Economy
Table 56 Germany: Market, by Application Type, 2026-2030 (USD Million)
Table 57 Germany: Market, by Application Type, 2031-2035 (USD Million)
10.3.2 France
10.3.2.1 Growing Demand for Advanced Technologies to Ensure Secure Communication in Automotive Industry
Table 58 France: Market, by Application Type, 2026-2030 (USD Million)
Table 59 France: Market, by Application Type, 2031-2035 (USD Million)
10.3.3 UK
10.3.3.1 Rising Preference of Oems for Advanced Technology
Table 60 UK: Market, by Application Type, 2026-2030 (USD Million)
Table 61 UK: Market, by Application Type, 2031-2035 (USD Million)
10.3.4 Spain
10.3.4.1 Financial Support by Government to Develop Quantum Computing
Table 62 Spain: Market, by Application Type, 2026-2030 (USD Million)
Table 63 Spain: Market, by Application Type, 2031-2035 (USD Million)
10.3.5 Italy
10.3.5.1 Rising Focus on R&D
Table 64 Italy: Market, by Application Type, 2026-2030 (USD Million)
Table 65 Italy: Market, by Application Type, 2031-2035 (USD Million)
10.3.6 Russia
10.3.6.1 Increasing Government Spending and Investments on Quantum Computers
Table 66 Russia: Market, by Application Type, 2026-2030 (USD Million)
Table 67 Russia: Market, by Application Type, 2031-2035 (USD Million)
10.3.7 Sweden
10.3.7.1 R&D by Universities on Quantum Computing
Table 68 Sweden: Market, by Application Type, 2026-2030 (USD Million)
Table 69 Sweden: Market, by Application Type, 2031-2035 (USD Million)
10.4 Americas
Figure 25 Americas: Market Snapshot
Table 70 Americas: Market, by Country, 2026-2030 (USD Million)
Table 71 Americas: Market, by Country, 2031-2035 (USD Million)
10.4.1 US
10.4.1.1 Increasing Government Investment and Presence of Leading Suppliers
Table 72 US: Market, by Application, 2026-2030 (USD Million)
Table 73 US: Market, by Application Type, 2031-2035 (USD Million)
10.4.2 Canada
10.4.2.1 Technological Advancements by Academic Institutions, Businesses, and Government Programs
Table 74 Canada: Market, by Application Type, 2026-2030 (USD Million)
Table 75 Canada: Market, by Application Type, 2031-2035 (USD Million)
10.4.3 Mexico
10.4.3.1 Growing Demand for Quantum Computing for Various Applications
Table 76 Mexico: Market, by Application Type, 2026-2030 (USD Million)
Table 77 Mexico: Market, by Application Type, 2031-2035 (USD Million)
10.4.4 Brazil
10.4.4.1 Requires More Funding and Infrastructure
Table 78 Brazil: Market, by Application Type, 2026-2030 (USD Million)
Table 79 Brazil: Market, by Application Type, 2031-2035 (USD Million)
11 Analyst's Recommendations
11.1 Americas to Dominate Regional Market and Asia-Pacific to Grow at Fastest Rate
11.2 Key Focus Areas to be Route Optimization, Battery Optimization, and Autonomous and Connected Vehicles
11.3 Conclusion
12 Competitive Landscape
12.1 Overview
12.2 Market Ranking Analysis, 2022
Figure 26 Ranking of Key Players, 2022
12.3 Revenue Analysis of Top Listed/Public Players
12.4 Competitive Evaluation Quadrant
12.4.1 Terminology
12.4.2 Stars
12.4.3 Emerging Leaders
12.4.4 Pervasive Players
12.4.5 Participants
Table 80 Quantum Computing in Automotive Market: Company Product Footprint, 2021
Table 81 Market: Company Application Footprint, 2021
Table 82 Market: Company Region Footprint, 2021
Figure 27 Market: Competitive Evaluation Matrix, 2021
12.5 Competitive Scenario
12.5.1 Product Launches
Table 83 Product Launches, 2018-2022
12.5.2 Deals
Table 84 Deals, 2017-2022
12.5.3 Expansions
Table 85 Expansions, 2020-2022
12.6 Strategies Adopted by Key Players/Right to Win, 2018-2022
Table 86 Key Growth Strategies, 2017-2022
12.7 Competitive Benchmarking
Table 87 Market: Key Players
13 Company Profiles
(Business Overview, Products Offered, Recent Developments, Analyst's View Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats) *
13.1 Quantum Computing in Automotive Market - Key Players
13.1.1 IBM Corporation
Table 88 IBM Corporation: Business Overview
Figure 28 IBM Corporation: Company Snapshot
Table 89 IBM Corporation: Product Launches
Table 90 IBM Corporation - Bosch GmbH
Table 91 IBM Corporation - Daimler Ag
Table 92 IBM Corporation: Expansions
13.1.2 Microsoft Corporation
Table 93 Microsoft Corporation.: Business Overview
Figure 29 Microsoft Corporation: Company Snapshot
Table 94 Microsoft Corporation- Product Launches
Table 95 Microsoft Corporation-Ford Motor Company
13.1.3 D-Wave Systems Inc.
Table 96 D-Wave Systems Inc.: Business Overview
Figure 30 D-Wave Systems Inc.: Company Snapshot
Table 97 D-Wave Systems Inc.: Product Launches
Table 98 D-Wave Systems Inc.-Volkswagen Ag
Table 99 D-Wave Systems Inc.-Denso Corporation
Table 100 D-Wave Systems Inc.: Expansions
13.1.4 Alphabet Inc.
Table 101 Alphabet Inc.: Business Overview
Figure 31 Alphabet Inc.: Company Snapshot
13.1.4.2 Products Offered
13.1.4.3 Recent Developments
Table 102 Alphabet Inc. - Product Launches
Table 103 Alphabet Inc.- Daimler Ag
Table 104 Alphabet Inc.- Volkswagen Ag
Table 105 Alphabet Inc.: Others
13.1.5 Rigetti & Co, LLC
Table 106 Rigetti & Co, LLC: Business Overview
Figure 32 Rigetti & Co, LLC: Company Snapshot
Table 107 Rigetti & Co, LLC - Product Launches
Table 108 Rigetti & Co, LLC: Deals
Table 109 Rigetti & Co, LLC: Expansions
13.1.6 Accenture plc
Table 110 Accenture plc: Business Overview
Figure 33 Accenture plc: Company Snapshot
Table 111 Accenture plc: Deals
Table 112 Accenture plc-Faurecia
13.1.7 Ionq
Table 113 Ionq: Business Overview
Table 114 Ionq - Product Launches
Table 115 Ionq: Deals
Table 116 Ionq- Hyundai Motor Company
Table 117 Ionq: Expansions
13.1.8 Amazon
Table 118 Amazon: Business Overview
Figure 34 Amazon: Company Snapshot
Table 119 Amazon - Product Launches
Table 120 Amazon -Bmw Group
Table 121 Amazon: Expansions
13.1.9 Terra Quantum
Table 122 Terra Quantum: Business Overview
Table 123 Terra Quantum: Deals
Table 124 Terra Quantum-Volkswagen Ag
13.1.10 Pasqal
Table 125 Pasqal: Business Overview
13.1.11 Products Offered
Table 126 Pasqal - Product Launches
Table 127 Pasqal-Bmw Group
Table 128 Pasqal: Deals
Table 129 Pasqal: Expansions
13.2 Quantum Computing in Automotive Market - Additional Players
13.2.1 Quantinuum Ltd. (Cambridge Quantum Computing Ltd.)
Table 130 Quantinuum Ltd. (Cambridge Quantum Computing Ltd.): Company Overview
13.2.2 Intel Corporation
Table 131 Intel Corporation: Company Overview
13.2.3 Capgemini
Table 132 Capgemini: Company Overview
13.2.4 Zapata Computing
Table 133 Zapata Computing: Company Overview
13.2.5 Xanadu Quantum Technologies Inc.
Table 134 Xanadu Quantum Technologies Inc.: Company Overview
13.2.6 Quantica Computacao
Table 135 Quantica Computacao: Company Overview
13.2.7 Qc Ware Corp
Table 136 Qc Ware Corporation: Company Overview
13.2.8 Atom Computing Inc.
Table 137 Atom Computing Inc.: Company Overview
13.2.9 Magiq Technologies Inc.
Table 138 Magiq Technologies Inc.: Company Overview
13.2.10 Anyon Systems
Table 139 Anyon Systems: Company Overview
*Details on Business Overview, Products Offered, Recent Developments, Analyst's View, Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats Might Not be Captured in Case of Unlisted Companies.
14 Appendix
14.1 Industry Insights from Experts
14.2 Discussion Guide
14.3 Knowledgestore: The Subscription Portal
14.4 Customization Options
14.4.1 Quantum Computing in Automotive Market, by Stakeholder and Deployment Type
14.4.1.1 Oems
14.4.1.2 Tier 1 and Tier 2
14.4.1.3 Warehouse and Distribution
Companies Mentioned
- Accenture plc
- Alphabet Inc.
- Amazon
- Anyon Systems
- Atom Computing Inc.
- Capgemini
- D-Wave Systems Inc.
- IBM Corporation
- Intel Corporation
- Ionq
- Magiq Technologies Inc.
- Microsoft Corporation
- Pasqal
- Qc Ware Corp
- Quantica Computacao
- Quantinuum Ltd. (Cambridge Quantum Computing Ltd.)
- Rigetti & Co, LLC
- Terra Quantum
- Xanadu Quantum Technologies Inc.
- Zapata Computing
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 199 |
| Published | March 2023 |
| Forecast Period | 2026 - 2035 |
| Estimated Market Value ( USD | $ 143 Million |
| Forecasted Market Value ( USD | $ 5203 Million |
| Compound Annual Growth Rate | 49.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |
