Quantum Computing in Automotive Market

Quantum Computing in Automotive Market by Application (Route Planning & Traffic Management, Battery Optimization, Material Research, Production Planning & Scheduling), Deployment, Component, Stakeholder & Region - Global Forecast to 2035

Report Code: AT 8591 Mar, 2023, by marketsandmarkets.com

[203 Pages Report] The quantum computing in automotive market is estimated to grow from USD 143 million in 2026 to USD 5,203 million by 2035, at a CAGR of 49.0% from 2026 to 2035. The growth of this quantum computing in automotive market is driven by rising investment by automotive companies to deploy advanced & innovative technology to solve complex problems and increasing government focus on evolving quantum computing expertise across various industry applications.

Sensor Market For Autonomous Vehicles

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Market Dynamics

Driver: Increase in government investment

Quantum computing is in the infancy stage. The development of scalable quantum computer technology requires many dedicated investments to unlock the future potential of critical applications so that different optimization and simulation strategies can be implemented with quantum computers. Regional governments worldwide are investing in the development of quantum computing technology to initiate pilot projects across various applications. Different nations are funding their research institutions with substantial money to further the development of quantum computing. China, the US, and European countries such as Germany, France, Sweden, Netherlands, India, and Japan are some of the frontrunners for investments in quantum computing. Small countries like Canada, Australia, and Israel are joining the race to develop quantum computing technologies. These countries are investing in developing R&D infrastructure specialized for quantum computing space.

Restraint: Stability and quantum error correction issues

Currently, quantum computers use physical qubits, which are error-prone. To achieve a single logical qubit error free, 1,000 physical qubits are reportedly required, a goal that has not yet been accomplished. A commercially viable quantum computer is expected to be a 200-logical qubit machine with 200,000 physical qubits, even though devices with up to 5,000 physical qubits have already been produced as of 2020. This is one of the major challenges to commercially introducing quantum computers. Due to their fragility and ease of disruption by changes in their environment's temperature, noise, and frequency, qubits cannot be kept in their quantum mechanical state for a longer time. Moreover, many blockchain-based solutions rely on the elliptic curve signature algorithm, which is currently not quantum-safe. The continuously changing mechanical state of quantum due to difficulties in building a commercialized quantum machine restricts the development of physical quantum computers.

Opportunities: Rise in sales of electric and hybrid electric vehicle

The rising adoption of BEVs and HEVs would force automotive companies to improve on various EVs, such as vehicle architecture, driving range, fast charging capabilities, etc. With reference to quantum computing can help in trying and building several material compositions under different test conditions. Quantum computing for an electric vehicle can perform battery material research, battery optimization & simulations, and battery thermal management systems. Few collaborations have occurred in recent years to perform such activities and achieve an optimal outcome. In 2022, Hyundai Motor Company (South Korea) and IonQ (US) formed a technical collaboration to simulate EV battery chemical reactions using quantum computing technology. In 2020, Mercedes-Benz (Germany) and IBM Corporation formed a technical collaboration to develop next-generation lithium-sulfur batteries using quantum computing technology. An increasing sale of electric vehicles will create the demand for improved batteries and unlock exponential growth opportunities for various automotive and other hardware, software, and platform providers for quantum computing.

Challenges: Lack of Skilled Professionals and Infrastructure

Quantum Computing is an innovative and promising technology. A team of experts with the necessary skillsets is required to deploy this technology. The companies in this business face challenge of finding people with the required skill sets. Many countries and quantum computer manufacturers plan to launch training programs to address the shortage of skilled professionals. For instance, D-Wave Systems, inc. started training modules to train its client about quantum computers. However, the cost of this training module is one obstacle to companies wishing to train their employees. Further, these components are complicated, and understanding them takes time and effort. As a result, quantum computer manufacturers must invest more money in various post-sales activities to reduce their profit margins.

Quantum computing in Automotive Market Ecosystem

Sensor Market For Autonomous Vehicles Size, and Share

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Cloud-based quantum computing is estimated to be the largest market by deployment

The cloud-based segment is projected to lead the quantum computing in automotive market during the review period. Developing highly powerful systems will drive the demand for cloud-based access to quantum computing services. Automotive OEMs and Tier 1 companies focus on cloud-based deployment type, which is cost-effective without needing large physical setup and maintenance. Quantum computing is in the infancy stage and prone to rapidly advancing several hardware and software updates quickly, owing to constant development activities to make technology more efficient and error-free. Thus, the cloud model enables automotive companies to access the latest updates. Microsoft Corporation, Amazon, Alibaba, and D-wave Systems Inc. offers a sustainable cloud platform for quantum computing access that can suit the environment easily.

Automotive tier 1 and 2 segments are expected to grow at the fastest CAGR during the forecast period

Automotive tier 1 and 2 companies are projected to grow at the fastest CAGR for the quantum computing in automotive market from 2026 to 2035. At present, most vehicle manufacturers are exploring quantum computing capabilities, and a few tier 1 and tier 2 players are also following these strategic developments and would examine future potential across the automotive industry. Tier 1 players can use Quantum computing to design and optimize cutting-edge components and systems, improve the design of vehicle parts using lightweight structure, enhanced battery, motor design and other related components, autonomous driving mechanism, etc., which will be provided to OEMs. Moreover, quantum computing will also be helpful for Tier 2 companies in material research and production procedures, decrease waste, boost productivity, and create innovative products. These newly developed products can optimize their supply chain management with quantum computers, lowering costs, boosting efficiency, and creating brand-new cutting-edge parts and systems. Global automotive companies such as Robert Bosch, AISIN Group, and Denso Corporation have tie-ups with quantum computing technology providers to study and gain important insights into material research and fluid dynamics. Hence, quantum computing has significant potential to transform and lead the industry's innovation process for Tier 1 and Tier 2 organizations covering a broad spectrum of research areas.

Sensor Market For Autonomous Vehicles Size, and Share

Americas is projected to be the largest market during the forecast period

Americas is projected to dominate quantum computing in automotive market from 2026 to 2035. The region's dominance is mainly due to the early adoption of quantum computing systems and supported software and services owing to the presence of major technology companies such as IBM Corporation, Microsoft Corporation, Alphabet Inc., D-Wave Systems Inc., Rigetti Computing, and Zapata Computing, among others. These companies have a technological advantage and abundant capital to invest in innovations. For instance, IBM Corporation has initiated R&D efforts on quantum computing since 1998. Alphabet Inc., Microsoft Corporation, D-wave Systems Inc., IonQ, etc., are some frontrunners in experimenting with quantum computing technologies. These companies can offer quantum computing solutions for the automotive industry and can help provide some real use cases leveraging quantum computing technology.

Key Market Players & Start-ups

Quantum computing in automotive market is led by globally established players such as IBM Corporation (US), Microsoft Corporation (US), D-Wave Systems, Inc. (US), Amazon (US), and Rigetti & Co, LLC (US). These companies adopted expansion strategies and undertook collaborations, partnerships, and mergers & acquisitions to gain traction in the high-growth market.

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Scope of the Report

Report Metric

Details

Market size available for years

2026–2035

Forecast period

2026–2035

Forecast units

Value (USD Million/USD Billion)

Segments Covered

Application, Component, Deployment, Stakeholder,  and Region

Geographies covered

Asia Pacific, Europe, and the Americas

Companies covered

IBM Corporation (US), Microsoft Corporation (US), D-wave systems, inc. (Canada), Amazon (US), Alphabet Inc. (US), Rigetti & Co, LLC (US), PASQAL (France), Accenture plc (Ireland), Terra Quantum (Switzerland), and IONQ (US)

The study categorizes quantum computing in automotive market based on the following segments:

Quantum Computing in Automotive Market By Application Type
  • Route Planning and Traffic Management
  • Battery Optimization
  • Material Research
  • Autonomous and Connected Vehicle
  • Production Planning and Scheduling
  • Others
Quantum Computing in Automotive Market By Component Type
  • Software
  • Hardware
  • Services
Quantum Computing in Automotive Market By Deployment type
  • Cloud
  • On-premises
Quantum computing in Automotive Market By Stakeholder type
  • OEM
  • Automotive Tier 1 and 2
  • Warehousing and Distribution
Quantum Computing in Automotive Market By Region
  • Asia Pacific
  • Europe
  • Americas

Recent Developments

  • In September 2023, Rigetti & Co, LLC launched its QCS on Microsoft's Azure Quantum platform with a public preview. The Aspen-M-2 80-qubit and Aspen-11 40-qubit superconducting quantum processors from Rigetti are available to all Azure Quantum users for the development and execution of quantum applications.
  • In January 2023, PASQAL announced the launch of Pulser Studio, a no-code development platform for neutral atoms quantum computers. Pulser Studio enables users to graphically build quantum registers and design pulse sequences without coding knowledge.
  • In November 2022, IBM Corporation introduced Next-Generation IBM Quantum System Two and 400 Qubit-Plus Quantum Processors. This processor can perform quantum computations that are much more complex than what can be done on any classical computer.
  • In November 2022, IBM Corporation launched its most effective quantum computer, which has three times the number of qubits than its Eagle machine. This new quantum computer with 433 qubit capacity called Osprey is capable of previously insolvable problems.
  • In November 2022, Amazon launched its first natural-atom quantum processor for Amazon Bracket. This new processor has been developed with Qu Era technologies and is 256 qubits. This new device is designed to solve optimization problems.
  • In October 2022, D-wave Systems Inc. launched its quantum software & services on the AWS marketplace. It makes finding, testing, buying, and deploying software that runs on Amazon Web Services is simple. Customers of the AWS Marketplace will have simple access to a selection of quantum computing products from D-Wave, including the use of the Leap quantum cloud service.
  • In May 2022, IonQ introduced its latest generation quantum system IonQ Forte. The new system feature includes innovative, cutting-edge optics technology that increases accuracy and improves IonQ's industry system performance.
  • In February 2022, Rigetti & Co, LLC announced the commercial availability of the 80-qubit Aspen-M quantum system through Rigetti Quantum Cloud Services. The technology is accessible to direct and distribution clients (QCS). Rigetti & Co, LLC also reported the results of system speed tests performed on Aspen-M.
  • In December 2021, D-wave Systems Inc. launched a new quantum acceleration bundle, the quantum QuickStart, incorporating cloud access and instruction in quantum programming. The Quantum QuickStart bundle offers developers a complete training experience and a month of unlimited, real-time quantum cloud access. It was created to train developers quickly and enable them to effortlessly employ quantum computing and quantum hybrid resources to build quantum apps.
  • In December 2021, Rigetti & Co, LLC introduced an 80-qubit Aspen -M next-generation quantum computer.
  • In November 2021, IBM Corporation unveiled its new 127-quantum bit (qubit) Eagle processor. It signals the hardware development stage, where quantum circuits can no longer be accurately simulated on a conventional computer.
  • In October 2020, D-wave System Inc. announced its next-generation quantum annealing processor chip, which uses quantum effects to solve the minimization and optimization problems.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 23)
    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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET SEGMENTATION
    1.5 CURRENCY CONSIDERED 
    1.6 LIMITATIONS 
    1.7 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 27)
    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 QUANTUM COMPUTING IN AUTOMOTIVE 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 (Page No. - 37)
    3.1 REPORT SUMMARY 
           FIGURE 5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026 VS. 2035 (USD MILLION)
 
4 PREMIUM INSIGHTS (Page No. - 41)
    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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION 
           FIGURE 7 ROUTE PLANNING AND TRAFFIC MANAGEMENT TO DOMINATE APPLICATION SEGMENT DURING FORECAST PERIOD
    4.3 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT 
           FIGURE 8 CLOUD SEGMENT TO HOLD LARGEST MARKET SHARE (2026–2035)
    4.4 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT 
           FIGURE 9 SOFTWARE SEGMENT TO HAVE HIGHEST GROWTH FROM 2026 TO 2035
    4.5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER 
           FIGURE 10 OEM SEGMENT PROJECTED TO HOLD MAXIMUM MARKET SHARE DURING FORECAST PERIOD
    4.6 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION 
           FIGURE 11 AMERICAS TO WITNESS HIGHEST MARKET GROWTH IN 2026
 
5 MARKET OVERVIEW (Page No. - 45)
    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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET ECOSYSTEM
           TABLE 5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: ROLE OF COMPANIES IN ECOSYSTEM
    5.6 SUPPLY CHAIN ANALYSIS 
           FIGURE 17 SUPPLY CHAIN ANALYSIS: QUANTUM COMPUTING IN AUTOMOTIVE 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 QUANTUM COMPUTING IN AUTOMOTIVE 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 (Page No. - 68)
    6.1 INTRODUCTION 
           6.1.1 RESEARCH METHODOLOGY
           6.1.2 ASSUMPTIONS
           6.1.3 INDUSTRY INSIGHTS
                    FIGURE 18 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026 VS. 2035 (USD MILLION)
                    TABLE 6 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026–2030 (USD MILLION)
                    TABLE 7 QUANTUM COMPUTING IN AUTOMOTIVE 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 (Page No. - 78)
    7.1 INTRODUCTION 
           7.1.1 RESEARCH METHODOLOGY
           7.1.2 ASSUMPTIONS
           7.1.3 INDUSTRY INSIGHTS
                    FIGURE 19 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER, 2026 VS. 2035 (USD MILLION)
                    TABLE 20 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER TYPE, 2026–2030 (USD MILLION)
                    TABLE 21 QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 23 OEM: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 25 TIER 1 AND 2: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 27 WAREHOUSING AND DISTRIBUTION: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
 
8 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT (Page No. - 85)
    8.1 INTRODUCTION 
           8.1.1 RESEARCH METHODOLOGY
           8.1.2 ASSUMPTIONS
           8.1.3 INDUSTRY INSIGHTS
                    FIGURE 20 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2026 VS. 2035 (USD MILLION)
                    TABLE 28 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2026–2030 (USD MILLION)
                    TABLE 29 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2031–2035 (USD MILLION)
    8.2 SOFTWARE 
           8.2.1 GROWING END USE AND NUMBER OF SOFTWARE STARTUPS
                    TABLE 30 SOFTWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 31 SOFTWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
    8.3 HARDWARE 
           8.3.1 RISING GOVERNMENT AND PRIVATE INVESTMENTS IN QUANTUM HARDWARE
                    TABLE 32 HARDWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 33 HARDWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
    8.4 SERVICES 
           8.4.1 INCREASING ACCESS TO CLOUD QUANTUM COMPUTING SERVICES
                    TABLE 34 SERVICES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 35 SERVICES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
 
9 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT (Page No. - 91)
    9.1 INTRODUCTION 
           9.1.1 RESEARCH METHODOLOGY
           9.1.2 ASSUMPTIONS
           9.1.3 INDUSTRY INSIGHTS
                    FIGURE 21 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2026 VS. 2035 (USD MILLION)
                    TABLE 36 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2026–2030 (USD MILLION)
                    TABLE 37 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2031–2035 (USD MILLION)
    9.2 CLOUD 
           9.2.1 EASY ACCESS AND LESS MAINTENANCE
                    TABLE 38 CLOUD: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 39 CLOUD: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                    TABLE 41 ON-PREMISES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
 
10 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION (Page No. - 96)
     10.1 INTRODUCTION 
             10.1.1 RESEARCH METHODOLOGY
             10.1.2 ASSUMPTIONS
             10.1.3 INDUSTRY INSIGHTS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE
                       FIGURE 22 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, 2026 VS. 2035 (USD MILLION)
                       TABLE 42 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION)
                       TABLE 43 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION)
     10.2 ASIA PACIFIC 
               FIGURE 23 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET SNAPSHOT
               TABLE 44 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION)
               TABLE 45 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2031–2035 (USD MILLION)
             10.2.1 CHINA
                       10.2.1.1 Rising investment in quantum computing
                                   TABLE 46 CHINA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION)
                                   TABLE 47 CHINA: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION)
                                   TABLE 49 INDIA: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION)
                                   TABLE 51 JAPAN: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION)
                                   TABLE 53 SOUTH KOREA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION)
     10.3 EUROPE 
               FIGURE 24 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, 2026–2035 (USD MILLION)
               TABLE 54 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION)
               TABLE 55 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 57 GERMANY: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 59 FRANCE: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 61 UK: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 63 SPAIN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION)
             10.3.5 ITALY
                       10.3.5.1 Rising focus on R&D
                                   TABLE 64 ITALY: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 65 ITALY: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 67 RUSSIA: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 69 SWEDEN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION)
     10.4 AMERICAS 
               FIGURE 25 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET SNAPSHOT
               TABLE 70 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION)
               TABLE 71 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026–2030 (USD MILLION)
                                   TABLE 73 US: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 75 CANADA: QUANTUM COMPUTING IN AUTOMOTIVE 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: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 77 MEXICO: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION)
             10.4.4 BRAZIL
                       10.4.4.1 Requires more funding and infrastructure
                                   TABLE 78 BRAZIL: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION)
                                   TABLE 79 BRAZIL: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION)
 
11 RECOMMENDATIONS BY MARKETSANDMARKETS (Page No. - 122)
     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 (Page No. - 124)
     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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPANY APPLICATION FOOTPRINT, 2021
                       TABLE 82 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPANY REGION FOOTPRINT, 2021
                       FIGURE 27 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPETITIVE EVALUATION MATRIX, 2021
     12.5 COMPETITIVE SCENARIO 
             12.5.1 PRODUCT LAUNCHES/ENHANCEMENTS
                       TABLE 83 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: PRODUCT LAUNCHES/ENHANCEMENTS, MARCH 2018–JANUARY 2023
             12.5.2 DEALS
                       TABLE 84 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: DEALS, NOVEMBER 2017–DECEMBER 2022
             12.5.3 EXPANSIONS
                       TABLE 85 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: EXPANSIONS, JULY 2020–JULY 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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: KEY PLAYERS
 
13 COMPANY PROFILES (Page No. - 143)
(Business Overview, Products Offered, Recent Developments, MnM 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, MnM View, Right to win, Strategic choices made, Weaknesses and competitive threats might not be captured in case of unlisted companies.
 
14 APPENDIX (Page No. - 196)
     14.1 INDUSTRY INSIGHTS FROM EXPERTS 
     14.2 DISCUSSION GUIDE 
     14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ 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
     14.5 RELATED REPORTS 
     14.6 AUTHOR DETAILS 

The study involves four main activities to estimate the current size of quantum computing in automotive market. Exhaustive secondary research was done to collect information on the market, such as the quantum computing application types in automotive, upcoming technologies, deployment types, component types, and stakeholder types. The next step was to validate these findings, assumptions, and market analysis with industry experts across value chains through primary research. The Top-down approach was employed to estimate the market size for different segments considered in this study.

Secondary Research

The secondary sources referred for this research study include quantum computing associations such as the Quantum World Association, Harvard college quantum computing association, EPFL quantum computing association, and Quantum Industry Coalition, The Institute for Advanced Composites Manufacturing Innovation, corporate filings (such as annual reports, investor presentations, and financial statements), Factiva, Marklines and trade, business, and automotive associations. Secondary data has been collected and analyzed to arrive at the overall market size, which multiple industry experts further validate.

Primary Research

Extensive primary research has been conducted after understanding quantum computing in automotive market scenario through secondary research. Several primary interviews have been conducted with market experts from both the demand- (OEMs) and supply-side (quantum computing hardware, software, and services provider) across major regions, namely, North America, Europe, and Asia Pacific. Approximately 20% and 80% of primary interviews have been conducted from the demand and supply sides, respectively. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales, operations, and marketing, to provide a holistic viewpoint in our report.

After interacting with industry participants, we conducted brief sessions with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the opinions of the in-house subject-matter experts, led us to the findings described in this report.

Sensor Market For Autonomous Vehicles Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The market size of quantum computing in automotive market, by application, was calculated using the top-down approach. Extensive secondary and primary research was carried out to understand the global market of quantum computing. Further, the share of the automotive industry in the total quantum computing market is identified from secondary and primary research. market is bifurcated at the regional level based on regional-level industry developments in terms of strategic collaborations and investments. To analyze the country-level market by application, country-level futuristic penetration of different applications – route planning and traffic management, battery optimization, material research, autonomous & connected vehicles, production planning & scheduling, and others have been estimated and analyzed. Several primary interviews were conducted with key opinion leaders related to the quantum computing hardware, software, and automotive stakeholders, including key OEMs, Tier I and II suppliers, and warehouse and distribution companies. Other subsegments, such as deployment type (on-premises and cloud), component (software, hardware, and services), and stakeholder (OEM, tier 1 and 2, and warehousing and distribution), are analyzed using the top-down approach.

Quantum Computing in Automotive Market: Top-Down Approach

Sensor Market For Autonomous Vehicles Size, and Share

Report Objectives

  • To define, describe, and forecast quantum computing in automotive market in terms of value (USD million/USD Billion) based on the following segments:
    • By Application Type (Route Planning & Traffic Management, Battery optimization, Material Research, Autonomous & Connected vehicles, Production planning & scheduling, and others)
    • By Component Type (Software, Hardware, and Services)
    • By Deployment Type (Cloud and On-premises)
    • By Stakeholder type (OEM, Automotive Tier 1 and 2, Warehousing and Distribution)
    • By Region (Asia Pacific, Europe, and Americas)
  • To understand the market dynamics (drivers, restraints, opportunities, and challenges) of market
  • To analyze the market ranking and market share of key players operating in market
  • To understand the dynamics of quantum computing in automotive market competitors and distinguish them into visionary leaders, innovators, emerging companies, and dynamic differentiators according to their product portfolio strength and business strategies
  • To analyze recent developments, alliances, joint ventures, mergers & acquisitions, new product launches, and other activities carried out by key industry players in market.
  • To conduct case study analysis, Porter’s five forces analysis, technology analysis, patent analysis, average premium analysis, and revenue analysis of the top 5 players

Available Customizations

With the given market data, MarketsandMarkets offers customizations in accordance with the company’s specific needs.

Quantum Computing in automotive market, by stakeholder and deployment Type

  • OEM
  • Automotive Tier 1 and 2
  • Warehousing and Distribution

Note: Each stakeholder can be further bifurcated by deployment type (on-premises and cloud). No further breakup at the regional level will be provided.

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We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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