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全球汽车量子计算市场：按应用预测（路线规划/交通管理、电池优化、材料研究、生产计划/调度）、部署方法、组件、利益相关者、地区（至 2035 年）
市场调查报告书
商品编码
1240612

全球汽车量子计算市场：按应用预测（路线规划/交通管理、电池优化、材料研究、生产计划/调度）、部署方法、组件、利益相关者、地区（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 | 订单完成后即时交付

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简介目录

全球汽车量子计算市场规模在2026年达到1.43亿美元后，2031年至2035年将以35.0%的复合年增长率增长，2035年达到52.3亿美元，预计将增长至美元。 汽车行业一直专注于开发创新技术，以提升其在电动和混合动力汽车、燃料电池优化、互联移动性和自动驾驶能力 (ADAS) 方面的技术专长。 纵观整个价值链，量子计算革命性技术有望为汽车行业带来重大变革。

“按应用划分，自动驾驶和联网汽车将成为预测期内增长最快的部分”

在不久的将来，自动驾驶汽车的发展将具有重要意义。 未来，随着 3 级、4 级和 5 级自动驾驶汽车的采用，乘客可能会花更多的时间在车内，而减少实际驾驶的时间。 研究表明，这些自动驾驶汽车中约有 90% 将被共享，10% 将用于个人通勤。 凭藉这些优势，量子计算可以作为立即实现错误率更低的自动驾驶汽车的突破口。 例如，量子计算算法可以快速处理和计算由激光雷达、雷达和图像传感器等先进系统生成的大量数据。 这可以帮助训练和开发几乎不需要人工干预的车载智能。 在量子优化和模拟算法的帮助下，与需要数年时间处理的传统计算机相比，可以在一小部分时间内优化这些数据。 量子计算机可以提供更快的计算速度，并有助于深入了解汽车正常运行所必需的关键领域。 同样，量子机器算法也可以检测物体和识别模式。 它可以提供更快、更准确的结果，并有可能提高整体车辆性能和安全性。 量子计算在自动驾驶汽车中越来越多地用于各种应用，例如自动驾驶汽车的路线优化、各种传感器生成的数据的集成、3D 对象识别、网络安全等，将成为自动驾驶汽车发展的关键因素。被认为会推动计算技术的发展。

“按组件划分，软件行业引领市场”

当按组件来看汽车量子计算市场时，软件领域有望引领潮流。 随着私人和公共机构越来越多地努力和投资开发商业上可行的、无故障的物理量子计算机，也需要软件环境的进步来提高量子计算机的性能。它是 随着跨行业客户的数量不断增加，技术提供商将专注于开发可持续的量子计算机软件，以满足各行业即将到来的需求。 调查显示，66% 的公司将软件开发视为量子计算技术的重中之重。 预计现有企业和几家初创企业将开发各种版本的软件平台，以填补现有软件的空白并提高量子计算机的性能。 由于开发物理量子计算机的复杂性、巨大的资本投资以及缺乏合格的专业人员，预计未来硬件开发的新进入者将很少。 另一方面，对于软件开发人员来说，它提供了一个巨大的增长机会，可以将其集成到现有堆栈中，以创建将在未来几年产生巨大业务收入的颠覆性软件。

“按地区划分，到 2035 年亚太地区将成为增长最快的市场”

在预测期内，亚太地区有望作为汽车量子计算市场快速增长。 近年来，亚太地区已成为汽车生产中心，许多汽车製造商和零部件供应商都位于亚洲国家。 中国、印度、日本和韩国是该地区主要的汽车生产中心，计划投资量子计算技术的设施很有前途。 此外，Hyundai Motor Company 和AISIN CORPORATION等一些区域性公司已经开始研究电动汽车电池、自动驾驶汽车和材料研究中的量子计算能力。 人均收入的增加、消费者口味的改变以及排放法规的收紧使得市场竞争更加激烈，使该地区的企业难以维持市场。 我们相信这种量子计算技术将帮助我们在未来几年保持竞争力。

本报告按应用、利益相关者、组件、部署方法和地区分析了全球汽车量子计算市场，包括市场的基本结构和最新发展、主要市场驱动因素和製约因素。它研究了不同的市场趋势前景、市场竞争状况、主要参与者概况等。

内容

第一章介绍

第二章研究方法论

第 3 章执行摘要

第 4 章重要注意事项

第 5 章市场概述

  • 介绍
  • 市场动态
    • 司机
    • 约束因素
    • 机会
    • 任务
  • 量子计算对汽车行业的影响
  • 波特的五力分析
  • 汽车生态系统中的量子计算
  • 供应链分析
  • 案例研究
  • 主要会议和活动 (2022-2023)
  • 监管标准
  • 量子计算与现有数字平台
  • 技术分析

第 6 章汽车量子计算市场：按应用

  • 介绍
  • 路线规划和交通管理
  • 电池优化
  • 材料研究
  • 自动驾驶汽车/联网汽车
  • 生产计划和调度
  • 其他

第 7 章汽车量子计算市场：利益相关者

  • 介绍
  • 贴牌生产
  • 第 1 层和第 2 层
  • 仓库/配送

第 8 章汽车量子计算市场：按组件分类

  • 介绍
  • 软件
  • 硬件
  • 服务

第 9 章汽车量子计算市场：按部署方法

  • 介绍
  • 云
  • 本地

第 10 章汽车量子计算市场：按地区

  • 介绍
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 意大利
    • 俄罗斯
    • 瑞典
  • 美洲
    • 美国
    • 加拿大
    • 墨西哥
    • 巴西

第 11 章市场和市场提案

第12章竞争格局

  • 概览
  • 市场排名分析 (2022)
  • 主要上市公司盈利分析
  • 竞争性评估象限
  • 竞争场景
  • 主要公司/龙头公司采用的战略（2018-2022 年）
  • 竞争基准

第13章公司简介

  • 汽车量子计算市场：主要参与者
    • IBM CORPORATION
    • MICROSOFT CORPORATION
    • D-WAVE SYSTEMS INC.
    • ALPHABET INC.
    • RIGETTI & CO, LLC
    • ACCENTURE PLC
    • IONQ
    • AMAZON
    • TERRA QUANTUM
    • PASQAL
    • PRODUCTS OFFERED
  • 汽车量子计算市场：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章附录

简介目录
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