출판 : MarketsandMarkets (마켓츠앤마켓츠) 출판년월 : 2023년03월
자동차의 양자 컴퓨팅(Quantum Computing in Automotive) 시장 : 용도 (경로 계획 및 교통 관리, 배터리 최적화, 재료 연구, 생산 계획 및 스케줄링), 배포, 구성 요소, 이해 관계자 및 지역별 – 2035년까지의 세계 예측
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
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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.
자동차 양자 컴퓨팅 시장은 2026년 1억 4300만 달러에서 2035년 52억 300만 달러로 2031년부터 2035년까지 연평균 35.0% 성장할 것으로 예상됩니다.
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.
목차
1 INTRODUCTION 23
1.1 STUDY OBJECTIVES 23
1.2 MARKET DEFINITION 23
1.3 INCLUSIONS AND EXCLUSIONS 25
TABLE 1 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: INCLUSIONS
AND EXCLUSIONS 25
1.4 MARKET SCOPE 25
1.4.1 MARKETS COVERED 25
FIGURE 1 QUANTUM COMPUTING IN AUTOMOTIVE MARKET SEGMENTATION 25
1.5 CURRENCY CONSIDERED 26
1.6 LIMITATIONS 26
1.7 STAKEHOLDERS 26
2 RESEARCH METHODOLOGY 27
2.1 RESEARCH DATA 27
FIGURE 2 RESEARCH DESIGN – QUANTUM COMPUTING IN AUTOMOTIVE MARKET 27
FIGURE 3 RESEARCH METHODOLOGY MODEL 28
2.1.1 SECONDARY DATA 28
2.1.1.1 Key secondary sources for market sizing 29
2.1.1.2 Key data from secondary sources 29
2.1.2 PRIMARY DATA 30
2.1.2.1 Breakdown of primary interviews 30
2.1.2.2 Sampling techniques and data collection methods 31
2.1.2.3 Primary participants 31
2.2 MARKET SIZE ESTIMATION 31
2.2.1 TOP-DOWN APPROACH 32
FIGURE 4 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: TOP-DOWN APPROACH 32
2.2.2 FACTOR ANALYSIS FOR MARKET SIZING: DEMAND AND SUPPLY- SIDES 33
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 34
2.4 ASSUMPTIONS AND ASSOCIATED RISKS 35
2.4.1 RESEARCH ASSUMPTIONS 35
2.4.2 LIMITATIONS 36
3 EXECUTIVE SUMMARY 37
3.1 REPORT SUMMARY 37
FIGURE 5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026 VS. 2035 (USD MILLION) 38
4 PREMIUM INSIGHTS 41
4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR QUANTUM COMPUTING PROVIDERS IN AUTOMOTIVE INDUSTRY 41
FIGURE 6 RISING GOVERNMENT INVESTMENTS AND TECHNICAL COLLABORATIONS OF OEMS WITH QUANTUM COMPUTING PROVIDERS TO DRIVE MARKET 41
4.2 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION 42
FIGURE 7 ROUTE PLANNING AND TRAFFIC MANAGEMENT TO DOMINATE APPLICATION SEGMENT DURING FORECAST PERIOD 42
4.3 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT 42
FIGURE 8 CLOUD SEGMENT TO HOLD LARGEST MARKET SHARE (2026–2035) 42
4.4 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT 43
FIGURE 9 SOFTWARE SEGMENT TO HAVE HIGHEST GROWTH FROM 2026 TO 2035 43
4.5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER 43
FIGURE 10 OEM SEGMENT PROJECTED TO HOLD MAXIMUM MARKET SHARE DURING FORECAST PERIOD 43
4.6 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION 44
FIGURE 11 AMERICAS TO WITNESS HIGHEST MARKET GROWTH IN 2026 44
5 MARKET OVERVIEW 45
5.1 INTRODUCTION 45
5.2 MARKET DYNAMICS 46
FIGURE 12 QUANTUM COMPUTING IN AUTOMOTIVE MARKET DYNAMICS 46
5.2.1 DRIVERS 46
5.2.1.1 Increased government investments 46
TABLE 2 COUNTRY-WISE OVERALL INVESTMENTS IN QUANTUM COMPUTING TECHNOLOGY 47
5.2.1.2 Strategic partnerships and collaborations 49
TABLE 3 LIST OF AUTOMOTIVE COMPANIES COLLABORATING WITH QUANTUM COMPUTING TECHNOLOGY PROVIDERS 50
5.2.2 RESTRAINTS 52
5.2.2.1 Stability and quantum error correction issues 52
5.2.3 OPPORTUNITIES 52
5.2.3.1 Rise in sales of electric and hybrid vehicles 52
FIGURE 13 ELECTRIC AND PLUG-IN HYBRID VEHICLE SALES FORECAST, 2021 VS. 2030 (THOUSAND UNITS) 53
5.2.3.2 Advancements in quantum computing technology 53
5.2.4 CHALLENGES 54
5.2.4.1 Lack of skilled professionals and infrastructure 54
5.3 IMPACT OF QUANTUM COMPUTING IN AUTOMOTIVE INDUSTRY 55
FIGURE 14 TECHNOLOGIES/PROCESSES/TRENDS/DISRUPTIONS IMPACTING BUYERS 55
5.4 PORTER’S FIVE FORCES ANALYSIS 56
FIGURE 15 PORTER’S FIVE FORCES ANALYSIS 56
TABLE 4 PORTER’S FIVE FORCES ANALYSIS 56
5.4.1 THREAT OF SUBSTITUTES 57
5.4.2 THREAT OF NEW ENTRANTS 57
5.4.3 BARGAINING POWER OF BUYERS 57
5.4.4 BARGAINING POWER OF SUPPLIERS 57
5.4.5 INTENSITY OF COMPETITIVE RIVALRY 57
5.5 QUANTUM COMPUTING IN AUTOMOTIVE ECOSYSTEM 58
FIGURE 16 QUANTUM COMPUTING IN AUTOMOTIVE MARKET ECOSYSTEM 58
TABLE 5 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: ROLE OF COMPANIES IN ECOSYSTEM 58
5.6 SUPPLY CHAIN ANALYSIS 60
FIGURE 17 SUPPLY CHAIN ANALYSIS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET 60
5.6.1 ROLE OF STAKEHOLDERS IN SUPPLY CHAIN 60
5.7 CASE STUDIES 61
5.7.1 QUANTUM COMPUTING APPLICATIONS 61
5.7.1.1 Pharmaceutical and Healthcare 61
5.7.1.1.1 Accenture Labs and Biogen applied quantum computing to accelerate drug discovery 61
5.7.1.2 Banking and Finance 62
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 62
5.7.1.3 Aerospace & Defense 62
5.7.1.3.1 IonQ and Airbus developed quantum computing solutions for aircraft loading 62
5.7.1.4 Automotive Industry 63
5.7.2 DAIMLER AG AND IBM CORPORATION WORKING ON QUANTUM COMPUTING TO UNDERSTAND SIMULATION OF LI-SULFUR BATTERIES 63
5.7.3 BMW GROUP AND PASQAL COMPUTING DEVELOPED QUANTUM COMPUTING SYSTEM TO IMPROVE AUTO DESIGN AND MANUFACTURING 63
5.7.4 HYUNDAI MOTOR COMPANY AND IONQ WORKING ON QUANTUM COMPUTING FOR 3D OBJECT DETECTION FOR AUTONOMOUS VEHICLES 64
5.7.5 VOLKSWAGEN AND GOOGLE TO DEVELOP QUANTUM COMPUTERS FOR MATERIAL RESEARCH AND TRAFFIC MANAGEMENT 64
5.8 KEY CONFERENCES AND EVENTS IN 2022–2023 65
5.8.1 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: UPCOMING CONFERENCES AND EVENTS 65
5.9 REGULATORY STANDARDS 65
5.9.1 P1913 – SOFTWARE-DEFINED QUANTUM COMMUNICATION 65
5.9.2 P7130 – STANDARD FOR QUANTUM TECHNOLOGIES DEFINITIONS 66
5.9.3 P7131 – STANDARD FOR QUANTUM TECHNOLOGIES DEFINITIONS 66
5.10 QUANTUM COMPUTING VS. EXISTING DIGITAL PLATFORM 66
5.11 TECHNOLOGY ANALYSIS 67
5.11.1 DEVELOPMENT OF QUANTUM COMMUNICATION TECHNOLOGY 67
5.11.2 DEVELOPMENT OF ERROR MITIGATION APPROACH AND DYNAMIC CIRCUITS FOR ADVANCED QUANTUM COMPUTING SYSTEM 67
6 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION 68
6.1 INTRODUCTION 69
6.1.1 RESEARCH METHODOLOGY 69
6.1.2 ASSUMPTIONS 70
6.1.3 INDUSTRY INSIGHTS 70
FIGURE 18 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026 VS. 2035 (USD MILLION) 70
TABLE 6 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026–2030 (USD MILLION) 71
TABLE 7 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2031–2035 (USD MILLION) 71
6.2 ROUTE PLANNING AND TRAFFIC MANAGEMENT 71
6.2.1 SHOWCASES REAL-TIME VEHICLE TRAFFIC AND TRACKING 71
TABLE 8 ROUTE PLANNING AND TRAFFIC MANAGEMENT MARKET, BY REGION, 2026–2030 (USD MILLION) 72
TABLE 9 ROUTE PLANNING AND TRAFFIC MANAGEMENT MARKET, BY REGION, 2031–2035 (USD MILLION) 72
6.3 BATTERY OPTIMIZATION 72
6.3.1 PROVIDES FAST CHARGING AND LONG DRIVING RANGE 72
TABLE 10 BATTERY OPTIMIZATION MARKET, BY REGION, 2026–2030 (USD MILLION) 73
TABLE 11 BATTERY OPTIMIZATION MARKET, BY REGION, 2031–2035 (USD MILLION) 73
6.4 MATERIAL RESEARCH 73
6.4.1 RISING FOCUS ON MATERIAL COMPOSITION FOR ENHANCED PRODUCT DEVELOPMENT 73
TABLE 12 MATERIAL RESEARCH MARKET, BY REGION, 2026–2030 (USD MILLION) 74
TABLE 13 MATERIAL RESEARCH MARKET, BY REGION, 2031–2035 (USD MILLION) 74
6.5 AUTONOMOUS AND CONNECTED VEHICLES 74
6.5.1 INCORPORATES ADAS FEATURES 74
TABLE 14 AUTONOMOUS AND CONNECTED VEHICLES MARKET, BY REGION, 2026–2030 (USD MILLION) 75
TABLE 15 AUTONOMOUS AND CONNECTED VEHICLES MARKET, BY REGION, 2031–2035 (USD MILLION) 75
6.6 PRODUCTION PLANNING AND SCHEDULING 75
6.6.1 HELPS IN PRODUCTION SCHEDULING, INVENTORY MANAGEMENT, AND QUALITY CONTROL 75
TABLE 16 PRODUCTION PLANNING AND SCHEDULING MARKET, BY REGION, 2026–2030 (USD MILLION) 76
TABLE 17 PRODUCTION PLANNING AND SCHEDULING MARKET, BY REGION, 2031–2035 (USD MILLION) 76
6.7 OTHERS 76
6.7.1 PROVIDES PREDICTIVE MAINTENANCE AND BETTER SUPPLY CHAIN MANAGEMENT 76
TABLE 18 OTHERS MARKET, BY REGION, 2026–2030 (USD MILLION) 77
TABLE 19 OTHERS MARKET, BY REGION, 2031–2035 (USD MILLION) 77
7 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER 78
7.1 INTRODUCTION 79
7.1.1 RESEARCH METHODOLOGY 79
7.1.2 ASSUMPTIONS 80
7.1.3 INDUSTRY INSIGHTS 80
FIGURE 19 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER, 2026 VS. 2035 (USD MILLION) 80
TABLE 20 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER TYPE, 2026–2030 (USD MILLION) 80
TABLE 21 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER TYPE, 2031–2035 (USD MILLION) 81
7.2 OEM 81
7.2.1 INCREASING TECHNICAL COLLABORATION BETWEEN OEMS AND QUANTUM COMPUTING SUPPLIERS 81
TABLE 22 OEM: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 81
TABLE 23 OEM: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 82
7.3 TIER 1 AND 2 82
7.3.1 INCREASING POTENTIAL APPLICATIONS IN PRODUCT DESIGN AND MATERIAL RESEARCH 82
TABLE 24 TIER 1 AND 2: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 82
TABLE 25 TIER 1 AND 2: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 83
7.4 WAREHOUSING AND DISTRIBUTION 83
7.4.1 ASSISTS IN SUPPLY CHAIN OPTIMIZATION AND DEMAND FORECASTING 83
TABLE 26 WAREHOUSING AND DISTRIBUTION: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 84
TABLE 27 WAREHOUSING AND DISTRIBUTION: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 84
8 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT 85
8.1 INTRODUCTION 86
8.1.1 RESEARCH METHODOLOGY 86
8.1.2 ASSUMPTIONS 86
8.1.3 INDUSTRY INSIGHTS 86
FIGURE 20 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2026 VS. 2035 (USD MILLION) 87
TABLE 28 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2026–2030 (USD MILLION) 87
TABLE 29 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COMPONENT, 2031–2035 (USD MILLION) 87
8.2 SOFTWARE 88
8.2.1 GROWING END USE AND NUMBER OF SOFTWARE STARTUPS 88
TABLE 30 SOFTWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 88
TABLE 31 SOFTWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 88
8.3 HARDWARE 89
8.3.1 RISING GOVERNMENT AND PRIVATE INVESTMENTS IN QUANTUM HARDWARE 89
TABLE 32 HARDWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 89
TABLE 33 HARDWARE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 89
8.4 SERVICES 90
8.4.1 INCREASING ACCESS TO CLOUD QUANTUM COMPUTING SERVICES 90
TABLE 34 SERVICES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 90
TABLE 35 SERVICES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 90
9 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT 91
9.1 INTRODUCTION 92
9.1.1 RESEARCH METHODOLOGY 92
9.1.2 ASSUMPTIONS 92
9.1.3 INDUSTRY INSIGHTS 92
FIGURE 21 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2026 VS. 2035 (USD MILLION) 93
TABLE 36 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2026–2030 (USD MILLION) 93
TABLE 37 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY DEPLOYMENT, 2031–2035 (USD MILLION) 93
9.2 CLOUD 94
9.2.1 EASY ACCESS AND LESS MAINTENANCE 94
TABLE 38 CLOUD: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 94
TABLE 39 CLOUD: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 94
9.3 ON-PREMISES 95
9.3.1 GREATER CONTROL OVER QUANTUM HARDWARE AND DATA SECURITY 95
TABLE 40 ON-PREMISES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 95
TABLE 41 ON-PREMISES: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 95
10 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION 96
10.1 INTRODUCTION 97
10.1.1 RESEARCH METHODOLOGY 97
10.1.2 ASSUMPTIONS 98
10.1.3 INDUSTRY INSIGHTS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE 98
FIGURE 22 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, 2026 VS. 2035 (USD MILLION) 98
TABLE 42 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2026–2030 (USD MILLION) 98
TABLE 43 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY REGION, 2031–2035 (USD MILLION) 99
10.2 ASIA PACIFIC 99
FIGURE 23 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET SNAPSHOT 100
TABLE 44 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION) 100
TABLE 45 ASIA PACIFIC: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2031–2035 (USD MILLION) 101
10.2.1 CHINA 101
10.2.1.1 Rising investment in quantum computing 101
TABLE 46 CHINA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION) 101
TABLE 47 CHINA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 102
10.2.2 INDIA 102
10.2.2.1 Rising government support and collaboration with quantum suppliers 102
TABLE 48 INDIA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION) 103
TABLE 49 INDIA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 103
10.2.3 JAPAN 103
10.2.3.1 Growing government investments and launch of new advanced quantum computers 103
TABLE 50 JAPAN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION) 104
TABLE 51 JAPAN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 104
10.2.4 SOUTH KOREA 104
10.2.4.1 Initiatives by government and automotive OEMs 104
TABLE 52 SOUTH KOREA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030(USD MILLION) 105
TABLE 53 SOUTH KOREA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 105
10.3 EUROPE 106
FIGURE 24 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, 2026–2035 (USD MILLION) 106
TABLE 54 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION) 107
TABLE 55 EUROPE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2031–2035 (USD MILLION) 107
10.3.1 GERMANY 107
10.3.1.1 Government initiatives to spread awareness about importance of quantum computing for economy 107
TABLE 56 GERMANY: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 108
TABLE 57 GERMANY: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 108
10.3.2 FRANCE 109
10.3.2.1 Growing demand for advanced technologies to ensure secure communication in automotive industry 109
TABLE 58 FRANCE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 109
TABLE 59 FRANCE: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 109
10.3.3 UK 110
10.3.3.1 Rising preference of OEMs for advanced technology 110
TABLE 60 UK: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 110
TABLE 61 UK: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 110
10.3.4 SPAIN 111
10.3.4.1 Financial support by government to develop quantum computing 111
TABLE 62 SPAIN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 111
TABLE 63 SPAIN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 111
10.3.5 ITALY 112
10.3.5.1 Rising focus on R&D 112
TABLE 64 ITALY: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 112
TABLE 65 ITALY: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 112
10.3.6 RUSSIA 113
10.3.6.1 Increasing government spending and investments on quantum computers 113
TABLE 66 RUSSIA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 113
TABLE 67 RUSSIA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 113
10.3.7 SWEDEN 114
10.3.7.1 R&D by universities on quantum computing 114
TABLE 68 SWEDEN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 114
TABLE 69 SWEDEN: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 114
10.4 AMERICAS 115
FIGURE 25 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET SNAPSHOT 116
TABLE 70 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2026–2030 (USD MILLION) 116
TABLE 71 AMERICAS: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY COUNTRY, 2031–2035 (USD MILLION) 117
10.4.1 US 117
10.4.1.1 Increasing government investment and presence of leading suppliers 117
TABLE 72 US: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION, 2026–2030 (USD MILLION) 117
TABLE 73 US: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 118
10.4.2 CANADA 118
10.4.2.1 Technological advancements by academic institutions, businesses, and government programs 118
TABLE 74 CANADA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 118
TABLE 75 CANADA: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 119
10.4.3 MEXICO 119
10.4.3.1 Growing demand for quantum computing for various applications 119
TABLE 76 MEXICO: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 119
TABLE 77 MEXICO: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 120
10.4.4 BRAZIL 120
10.4.4.1 Requires more funding and infrastructure 120
TABLE 78 BRAZIL: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2026–2030 (USD MILLION) 120
TABLE 79 BRAZIL: QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY APPLICATION TYPE, 2031–2035 (USD MILLION) 121
11 RECOMMENDATIONS BY MARKETSANDMARKETS 122
11.1 AMERICAS TO DOMINATE REGIONAL MARKET AND ASIA PACIFIC TO GROW AT FASTEST RATE 122
11.2 KEY FOCUS AREAS TO BE ROUTE OPTIMIZATION, BATTERY OPTIMIZATION, AND AUTONOMOUS AND CONNECTED VEHICLES 123
11.3 CONCLUSION 123
12 COMPETITIVE LANDSCAPE 124
12.1 OVERVIEW 124
12.2 MARKET RANKING ANALYSIS, 2022 124
FIGURE 26 RANKING OF KEY PLAYERS, 2022 124
12.3 REVENUE ANALYSIS OF TOP LISTED/PUBLIC PLAYERS 125
12.4 COMPETITIVE EVALUATION QUADRANT 127
12.4.1 TERMINOLOGY 127
12.4.2 STARS 127
12.4.3 EMERGING LEADERS 127
12.4.4 PERVASIVE PLAYERS 127
12.4.5 PARTICIPANTS 127
TABLE 80 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPANY PRODUCT FOOTPRINT, 2021 128
TABLE 81 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPANY APPLICATION FOOTPRINT, 2021 129
TABLE 82 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPANY REGION FOOTPRINT, 2021 130
FIGURE 27 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: COMPETITIVE EVALUATION MATRIX, 2021 131
12.5 COMPETITIVE SCENARIO 132
12.5.1 PRODUCT LAUNCHES 132
TABLE 83 PRODUCT LAUNCHES, 2018–2022 132
12.5.2 DEALS 136
TABLE 84 DEALS, 2017–2022 136
12.5.3 EXPANSIONS 139
TABLE 85 EXPANSIONS, 2020–2022 139
12.6 STRATEGIES ADOPTED BY KEY PLAYERS/RIGHT TO WIN, 2018–2022 141
TABLE 86 KEY GROWTH STRATEGIES, 2017–2022 141
12.7 COMPETITIVE BENCHMARKING 142
TABLE 87 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: KEY PLAYERS 142
13 COMPANY PROFILES 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 143
13.1.1 IBM CORPORATION 143
TABLE 88 IBM CORPORATION: BUSINESS OVERVIEW 143
FIGURE 28 IBM CORPORATION: COMPANY SNAPSHOT 144
TABLE 89 IBM CORPORATION: PRODUCT LAUNCHES 145
TABLE 90 IBM CORPORATION – BOSCH GMBH 146
TABLE 91 IBM CORPORATION – DAIMLER AG 146
TABLE 92 IBM CORPORATION: EXPANSIONS 146
13.1.2 MICROSOFT CORPORATION 148
TABLE 93 MICROSOFT CORPORATION.: BUSINESS OVERVIEW 148
FIGURE 29 MICROSOFT CORPORATION: COMPANY SNAPSHOT 149
TABLE 94 MICROSOFT CORPORATION– PRODUCT LAUNCHES 150
TABLE 95 MICROSOFT CORPORATION-FORD MOTOR COMPANY 150
13.1.3 D-WAVE SYSTEMS INC. 152
TABLE 96 D-WAVE SYSTEMS INC.: BUSINESS OVERVIEW 152
FIGURE 30 D-WAVE SYSTEMS INC.: COMPANY SNAPSHOT 152
TABLE 97 D-WAVE SYSTEMS INC.: PRODUCT LAUNCHES 154
TABLE 98 D-WAVE SYSTEMS INC.-VOLKSWAGEN AG 155
TABLE 99 D-WAVE SYSTEMS INC.-DENSO CORPORATION 155
TABLE 100 D-WAVE SYSTEMS INC.: EXPANSIONS 156
13.1.4 ALPHABET INC. 158
TABLE 101 ALPHABET INC.: BUSINESS OVERVIEW 158
FIGURE 31 ALPHABET INC.: COMPANY SNAPSHOT 159
13.1.4.2 Products offered 159
13.1.4.3 Recent developments 160
TABLE 102 ALPHABET INC. – PRODUCT LAUNCHES 160
TABLE 103 ALPHABET INC.- DAIMLER AG 161
TABLE 104 ALPHABET INC.- VOLKSWAGEN AG 161
TABLE 105 ALPHABET INC.: OTHERS 161
13.1.5 RIGETTI & CO, LLC 163
TABLE 106 RIGETTI & CO, LLC: BUSINESS OVERVIEW 163
FIGURE 32 RIGETTI & CO, LLC: COMPANY SNAPSHOT 163
TABLE 107 RIGETTI & CO, LLC – PRODUCT LAUNCHES 166
TABLE 108 RIGETTI & CO, LLC: DEALS 167
TABLE 109 RIGETTI & CO, LLC: EXPANSIONS 167
13.1.6 ACCENTURE PLC 169
TABLE 110 ACCENTURE PLC: BUSINESS OVERVIEW 169
FIGURE 33 ACCENTURE PLC: COMPANY SNAPSHOT 170
TABLE 111 ACCENTURE PLC: DEALS 171
TABLE 112 ACCENTURE PLC-FAURECIA 171
13.1.7 IONQ 172
TABLE 113 IONQ: BUSINESS OVERVIEW 172
TABLE 114 IONQ – PRODUCT LAUNCHES 173
TABLE 115 IONQ: DEALS 174
TABLE 116 IONQ- HYUNDAI MOTOR COMPANY 174
TABLE 117 IONQ: EXPANSIONS 175
13.1.8 AMAZON 176
TABLE 118 AMAZON: BUSINESS OVERVIEW 176
FIGURE 34 AMAZON: COMPANY SNAPSHOT 177
TABLE 119 AMAZON – PRODUCT LAUNCHES 178
TABLE 120 AMAZON -BMW GROUP 178
TABLE 121 AMAZON: EXPANSIONS 179
13.1.9 TERRA QUANTUM 180
TABLE 122 TERRA QUANTUM: BUSINESS OVERVIEW 180
TABLE 123 TERRA QUANTUM: DEALS 181
TABLE 124 TERRA QUANTUM-VOLKSWAGEN AG 182
13.1.10 PASQAL 183
TABLE 125 PASQAL: BUSINESS OVERVIEW 183
13.1.11 PRODUCTS OFFERED 183
TABLE 126 PASQAL – PRODUCT LAUNCHES 184
TABLE 127 PASQAL-BMW GROUP 185
TABLE 128 PASQAL: DEALS 185
TABLE 129 PASQAL: EXPANSIONS 185
13.2 QUANTUM COMPUTING IN AUTOMOTIVE MARKET – ADDITIONAL PLAYERS 186
13.2.1 QUANTINUUM LTD. (CAMBRIDGE QUANTUM COMPUTING LTD.) 186
TABLE 130 QUANTINUUM LTD. (CAMBRIDGE QUANTUM COMPUTING LTD.): COMPANY OVERVIEW 186
13.2.2 INTEL CORPORATION 187
TABLE 131 INTEL CORPORATION: COMPANY OVERVIEW 187
13.2.3 CAPGEMINI 188
TABLE 132 CAPGEMINI: COMPANY OVERVIEW 188
13.2.4 ZAPATA COMPUTING 189
TABLE 133 ZAPATA COMPUTING: COMPANY OVERVIEW 189
13.2.5 XANADU QUANTUM TECHNOLOGIES INC. 190
TABLE 134 XANADU QUANTUM TECHNOLOGIES INC.: COMPANY OVERVIEW 190
13.2.6 QUANTICA COMPUTACAO 191
TABLE 135 QUANTICA COMPUTACAO: COMPANY OVERVIEW 191
13.2.7 QC WARE CORP 192
TABLE 136 QC WARE CORPORATION: COMPANY OVERVIEW 192
13.2.8 ATOM COMPUTING INC. 193
TABLE 137 ATOM COMPUTING INC.: COMPANY OVERVIEW 193
13.2.9 MAGIQ TECHNOLOGIES INC. 194
TABLE 138 MAGIQ TECHNOLOGIES INC.: COMPANY OVERVIEW 194
13.2.10 ANYON SYSTEMS 195
TABLE 139 ANYON SYSTEMS: COMPANY OVERVIEW 195
*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 196
14.1 INDUSTRY INSIGHTS FROM EXPERTS 196
14.2 DISCUSSION GUIDE 197
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 200
14.4 CUSTOMIZATION OPTIONS 202
14.4.1 QUANTUM COMPUTING IN AUTOMOTIVE MARKET, BY STAKEHOLDER AND DEPLOYMENT TYPE 202
14.4.1.1 OEMs 202
14.4.1.2 Tier 1 and Tier 2 202
14.4.1.3 Warehouse and Distribution 202
14.5 RELATED REPORTS 202
14.6 AUTHOR DETAILS 203
