汽车量子运算市场、机会、成长动力、产业趋势分析与预测，2024-2032

Automotive Quantum Computing Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月06日 | 出版商:

Global Market Insights Inc. | 英文 143 Pages | 商品交期: 2-3个工作天内

价格

简介目录

到2023 年，全球汽车量子运算市场价值将达到2.26 亿美元，从2024 年到2032 年，复合年增长率将达到36%。了路线优化和即时计算资料能力。这些进步对于自动驾驶和材料科学的创新至关重要，激发了人们对汽车产业的兴趣和投资。汽车製造商正在与量子计算公司合作，利用先进的演算法来增强车辆设计、提高自动驾驶能力并推进材料研究。透过将量子运算的能力与汽车技术相结合，这些合作伙伴关係旨在推动创新并应对复杂的行业挑战。

汽车量子运算产业根据组件、部署类型、应用程式和区域进行划分。

由于其在利用量子演算法和优化复杂计算方面的关键作用，软体领域在 2023 年将占据 39% 的份额。软体解决方案使汽车製造商能够利用量子运算进行进阶模拟、车辆设计最佳化和即时资料分析。透过提供有效实施量子演算法所需的工具，该软体部门支援自动驾驶和材料科学的创新。随着对量子驱动应用的需求不断增长，软体在整合和应用量子技术方面的关键作用巩固了其在市场中的领先地位。

到 2023 年，云端细分市场将占据约 70% 的市场份额。该功能使汽车製造商能够进行复杂的模拟、优化车辆系统并加快开发流程，而无需昂贵的硬体投资。此外，基于云端的量子解决方案促进了更大的协作，降低了营运成本，并提高了汽车研发的效率，推动了该行业的重大进步。

由于其强大的技术基础设施和对量子研发的大量投资，北美汽车量子运算市场到 2023 年将占据 40% 的份额。该地区先进的汽车工业越来越多地利用量子运算来增强车辆设计、优化自动驾驶系统并加速材料研究。汽车製造商和量子计算公司之间的紧密合作进一步推动了市场成长。此外，北美对技术创新和战略合作伙伴关係的关注凸显了其作为汽车量子计算行业扩张的关键贡献者的作用。

产业生态系统分析
供应商格局
- 技术提供者
- 整合商和顾问公司
- 云端服务供应商
- 汽车製造商
- 最终用户
利润率分析
技术和创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 高净值人士对私人飞机的需求增加
  - 汽车量子运算在商务旅客中越来越受欢迎
  - 对紧急医疗服务和空中救护运输的需求不断增长
  - 电子商务的成长和对更快交货时间的需求
- 产业陷阱与挑战
  - 量子运算软硬体成本高昂
  - 技术复杂性
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
软体
硬体
服务

第 6 章：市场估计与预测：按部署类型，2021 - 2032 年

主要趋势
云
本地

第 7 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
车辆路线和交通优化
自动驾驶
电池优化
供应链管理
网路安全
燃料电池优化
其他的

第 8 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 9 章：公司简介

D-Wave Systems Inc.
Fujitsu Limited
Google
Huawei Technologies Co., Ltd.
IBM
IonQ
ISARA Corporation
Microsoft Corporation
PASQAL
PsiQuantum
QC Ware Forge
Q-CTRL
QpiAI Tech
Quantinuum
Rigetti Computing, Inc.
Strangeworks, Inc.
The International Business Machines Corporation
Xanadu Quantum Technologies
Zapata Computing

简介目录

Product Code: 5777

The Global Automotive Quantum Computing Market, valued at USD 226 million in 2023, will grow at 36% CAGR from 2024 to 2032. Advances in quantum hardware are driving this growth by enabling more powerful computations, which enhance capabilities such as route optimization and real-time data analysis. These advancements are pivotal for innovation in autonomous driving and material science, spurring interest and investment in the automotive sector. Automotive manufacturers are collaborating with quantum computing companies to utilize advanced algorithms for enhancing vehicle design, boosting autonomous driving capabilities, and advancing material research. By integrating quantum computing's power with automotive technologies, these partnerships aim to drive innovation and tackle intricate industry challenges.

The automotive quantum computing industry is segregated based on component, deployment type, application, and region.

The software segment secured 39% share in 2023, driven by its critical role in harnessing quantum algorithms and optimizing complex computations. Software solutions enable automakers to utilize quantum computing for advanced simulations, vehicle design optimization, and real-time data analysis. By providing the necessary tools to implement quantum algorithms efficiently, the software segment supports innovations in autonomous driving and material science. As demand for quantum-powered applications grows, software's pivotal role in integrating and applying quantum technologies solidifies its leading position in the market.

The cloud segment held around 70% of the market share in 2023. The integration of cloud deployment with quantum technologies is transforming the automotive industry by offering scalable, on-demand access to cutting-edge quantum processing power. This capability allows automakers to conduct intricate simulations, optimize vehicle systems, and expedite development processes without the need for costly hardware investments. Additionally, cloud-based quantum solutions foster greater collaboration, lower operational costs, and boost the efficiency of automotive research and development, driving significant advancements in the sector.

North America automotive quantum computing market captured 40% share in 2023, propelled by its robust technology infrastructure and ample investments in quantum research and development. The region's advanced automotive industry increasingly leverage quantum computing to enhance vehicle design, optimize autonomous driving systems, and accelerate material research. Strong collaboration between automotive manufacturers and quantum computing firms further propels market growth. Also, North America's focus on technological innovation and strategic partnerships underscores its role as a crucial contributor to the expansion of the automotive quantum computing industry.

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Technology provider
- 3.2.2 Integrators and consulting firms
- 3.2.3 Cloud service provider
- 3.2.4 Automotive manufacturer
- 3.2.5 End user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increased demand for private jets from high-net-worth individuals
  - 3.8.1.2 Growing popularity of automotive quantum computing among business travelers
  - 3.8.1.3 Rising demand for emergency medical services and air ambulance transportation
  - 3.8.1.4 Growth of e-commerce and the need for faster delivery times
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High cost of quantum computing hardware and software
  - 3.8.2.2 Technical complexity
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Software
5.3 Hardware
5.4 Services

Chapter 6 Market Estimates and Forecast, By Deployment Type, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Cloud
6.3 On-premises

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Vehicle routing and traffic optimization
7.3 Autonomous driving
7.4 Battery optimization
7.5 Supply chain management
7.6 Cybersecurity
7.7 Fuel-cell optimization
7.8 Others

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Spain
- 8.3.5 Italy
- 8.3.6 Russia
- 8.3.7 Nordics
- 8.3.8 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Southeast Asia
- 8.4.7 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
8.6 MEA
- 8.6.1 UAE
- 8.6.2 South Africa
- 8.6.3 Saudi Arabia
- 8.6.4 Rest of MEA