汽車量子運算市場、機會、成長動力、產業趨勢分析與預測，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個工作天內

價格

簡介目錄

到2023 年，全球汽車量子運算市場價值將達到2.26 億美元，從2024 年到2032 年，複合年成長率將達到36%。了路線最佳化和即時計算資料能力。這些進步對於自動駕駛和材料科學的創新至關重要，激發了人們對汽車產業的興趣和投資。汽車製造商正在與量子計算公司合作，利用先進的演算法來增強車輛設計、提高自動駕駛能力並推進材料研究。透過將量子運算的能力與汽車技術相結合，這些合作夥伴關係旨在推動創新並應對複雜的行業挑戰。

汽車量子運算產業根據組件、部署類型、應用程式和區域進行分類。

由於其在利用量子演算法和最佳化複雜計算方面的關鍵作用，軟體領域在 2023 年將佔據 39% 的佔有率。軟體解決方案使汽車製造商能夠利用量子運算進行進階模擬、車輛設計最佳化和即時資料分析。透過提供有效實施量子演算法所需的工具，該軟體部門支援自動駕駛和材料科學的創新。隨著對量子驅動應用的需求不斷成長，軟體在整合和應用量子技術方面的關鍵作用鞏固了其在市場中的領先地位。

到 2023 年，雲端細分市場將佔據約 70% 的市場佔有率。該功能使汽車製造商能夠進行複雜的模擬、最佳化車輛系統並加快開發流程，而無需昂貴的硬體投資。此外，基於雲端的量子解決方案促進了更大的協作，降低了營運成本，並提高了汽車研發的效率，推動了該行業的重大進步。

由於其強大的技術基礎設施和對量子研發的大量投資，北美汽車量子運算市場到 2023 年將佔據 40% 的佔有率。該地區先進的汽車工業擴大利用量子運算來增強車輛設計、最佳化自動駕駛系統並加速材料研究。汽車製造商和量子計算公司之間的緊密合作進一步推動了市場成長。此外，北美對技術創新和戰略合作夥伴關係的關注凸顯了其作為汽車量子計算行業擴張的關鍵貢獻者的作用。

產業生態系統分析
供應商格局
- 技術提供者
- 整合商和顧問公司
- 雲端服務供應商
- 汽車製造商
- 最終用戶
利潤率分析
技術和創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 高淨值人士對私人飛機的需求增加
  - 汽車量子運算在商務旅客中越來越受歡迎
  - 對緊急醫療服務和空中救護運輸的需求不斷成長
  - 電子商務的成長和對更快交貨時間的需求
- 產業陷阱與挑戰
  - 量子運算軟硬體成本高昂
  - 技術複雜性
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
軟體
硬體
服務

第 6 章：市場估計與預測：按部署類型，2021 - 2032 年

主要趨勢
雲
本地

第 7 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
車輛路線和交通最佳化
自動駕駛
電池最佳化
供應鏈管理
網路安全
燃料電池最佳化
其他

第 8 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 9 章：公司簡介

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

簡介目錄

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