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全球汽車量子計算市場：按應用預測（路線規劃/交通管理、電池優化、材料研究、生產計劃/調度）、部署方法、組件、利益相關者、地區（至 2035 年）
市場調查報告書
商品編碼
1240612

全球汽車量子計算市場：按應用預測（路線規劃/交通管理、電池優化、材料研究、生產計劃/調度）、部署方法、組件、利益相關者、地區（至 2035 年）

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
出版日期: | 出版商: MarketsandMarkets | 英文 199 Pages | 訂單完成後即時交付

價格
簡介目錄

全球汽車量子計算市場規模在2026年達到1.43億美元後，2031年至2035年將以35.0%的複合年增長率增長，2035年達到52.3億美元，預計將增長至美元。 汽車行業一直專注於開發創新技術，以提升其在電動和混合動力汽車、燃料電池優化、互聯移動性和自動駕駛能力 (ADAS) 方面的技術專長。 縱觀整個價值鏈，量子計算革命性技術有望為汽車行業帶來重大變革。

“按應用劃分，自動駕駛和聯網汽車將成為預測期內增長最快的部分”

在不久的將來，自動駕駛汽車的發展將具有重要意義。 未來，隨著 3 級、4 級和 5 級自動駕駛汽車的採用，乘客可能會花更多的時間在車內，而減少實際駕駛的時間。 研究表明，這些自動駕駛汽車中約有 90% 將被共享，10% 將用於個人通勤。 憑藉這些優勢，量子計算可以作為立即實現錯誤率更低的自動駕駛汽車的突破口。 例如，量子計算算法可以快速處理和計算由激光雷達、雷達和圖像傳感器等先進系統生成的大量數據。 這可以幫助訓練和開發幾乎不需要人工干預的車載智能。 在量子優化和模擬算法的幫助下，與需要數年時間處理的傳統計算機相比，可以在一小部分時間內優化這些數據。 量子計算機可以提供更快的計算速度，並有助於深入了解汽車正常運行所必需的關鍵領域。 同樣，量子機器算法也可以檢測物體和識別模式。 它可以提供更快、更準確的結果，並有可能提高整體車輛性能和安全性。 量子計算在自動駕駛汽車中越來越多地用於各種應用，例如自動駕駛汽車的路線優化、各種傳感器生成的數據的集成、3D 對象識別、網絡安全等，將成為自動駕駛汽車發展的關鍵因素。被認為會推動計算技術的發展。

“按組件劃分，軟件行業引領市場”

當按組件來看汽車量子計算市場時，軟件領域有望引領潮流。 隨著私人和公共機構越來越多地努力和投資開發商業上可行的、無故障的物理量子計算機，也需要軟件環境的進步來提高量子計算機的性能。它是 隨著跨行業客戶的數量不斷增加，技術提供商將專注於開發可持續的量子計算機軟件，以滿足各行業即將到來的需求。 調查顯示，66% 的公司將軟件開發視為量子計算技術的重中之重。 預計現有企業和幾家初創企業將開發各種版本的軟件平台，以填補現有軟件的空白並提高量子計算機的性能。 由於開發物理量子計算機的複雜性、巨大的資本投資以及缺乏合格的專業人員，預計未來硬件開發的新進入者將很少。 另一方面，對於軟件開發人員來說，它提供了一個巨大的增長機會，可以將其集成到現有堆棧中，以創建將在未來幾年產生巨大業務收入的顛覆性軟件。

“按地區劃分，到 2035 年亞太地區將成為增長最快的市場”

在預測期內，亞太地區有望作為汽車量子計算市場快速增長。 近年來，亞太地區已成為汽車生產中心，許多汽車製造商和零部件供應商都位於亞洲國家。 中國、印度、日本和韓國是該地區主要的汽車生產中心，計劃投資量子計算技術的設施很有前途。 此外，Hyundai Motor Company 和AISIN CORPORATION等一些區域性公司已經開始研究電動汽車電池、自動駕駛汽車和材料研究中的量子計算能力。 人均收入的增加、消費者口味的改變以及排放法規的收緊使得市場競爭更加激烈，使該地區的企業難以維持市場。 我們相信這種量子計算技術將幫助我們在未來幾年保持競爭力。

本報告按應用、利益相關者、組件、部署方法和地區分析了全球汽車量子計算市場，包括市場的基本結構和最新發展、主要市場驅動因素和製約因素。它研究了不同的市場趨勢前景、市場競爭狀況、主要參與者概況等。

內容

第一章介紹

第二章研究方法論

第 3 章執行摘要

第 4 章重要注意事項

第 5 章市場概述

  • 介紹
  • 市場動態
    • 司機
    • 約束因素
    • 機會
    • 任務
  • 量子計算對汽車行業的影響
  • 波特的五力分析
  • 汽車生態系統中的量子計算
  • 供應鏈分析
  • 案例研究
  • 主要會議和活動 (2022-2023)
  • 監管標準
  • 量子計算與現有數字平台
  • 技術分析

第 6 章汽車量子計算市場：按應用

  • 介紹
  • 路線規劃和交通管理
  • 電池優化
  • 材料研究
  • 自動駕駛汽車/聯網汽車
  • 生產計劃和調度
  • 其他

第 7 章汽車量子計算市場：利益相關者

  • 介紹
  • 貼牌生產
  • 第 1 層和第 2 層
  • 倉庫/配送

第 8 章汽車量子計算市場：按組件分類

  • 介紹
  • 軟件
  • 硬件
  • 服務

第 9 章汽車量子計算市場：按部署方法

  • 介紹
  • 雲
  • 本地

第 10 章汽車量子計算市場：按地區

  • 介紹
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 意大利
    • 俄羅斯
    • 瑞典
  • 美洲
    • 美國
    • 加拿大
    • 墨西哥
    • 巴西

第 11 章市場和市場提案

第12章競爭格局

  • 概覽
  • 市場排名分析 (2022)
  • 主要上市公司盈利分析
  • 競爭性評估象限
  • 競爭場景
  • 主要公司/龍頭公司採用的戰略（2018-2022 年）
  • 競爭基準

第13章公司簡介

  • 汽車量子計算市場：主要參與者
    • IBM CORPORATION
    • MICROSOFT CORPORATION
    • D-WAVE SYSTEMS INC.
    • ALPHABET INC.
    • RIGETTI & CO, LLC
    • ACCENTURE PLC
    • IONQ
    • AMAZON
    • TERRA QUANTUM
    • PASQAL
    • PRODUCTS OFFERED
  • 汽車量子計算市場：其他公司
    • QUANTINUUM LTD. (CAMBRIDGE QUANTUM COMPUTING LTD.)
    • INTEL CORPORATION
    • CAPGEMINI
    • ZAPATA COMPUTING
    • XANADU QUANTUM TECHNOLOGIES INC.
    • QUANTICA COMPUTACAO
    • QC WARE CORP
    • ATOM COMPUTING INC.
    • MAGIQ TECHNOLOGIES INC.
    • ANYON SYSTEMS

第14章附錄

簡介目錄
Product Code: AT 8591

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 QUANTUM COMPUTING IN AUTOMOTIVE 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 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

  • 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 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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 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
    • 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 QUANTUM COMPUTING IN AUTOMOTIVE MARKET: KEY PLAYERS

13 COMPANY PROFILES

(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

  • 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