运输量子运算的全球市场的评估:各用途，各零件，各技术，各终端用户，各地区，机会，预测(2018年～2032年)

全球运输量子运算市场规模预计将从2024年的4,662万美元增至2032年的1.9465亿美元，在2025-2032年的预测期内，复合年增长率将达到19.56%。随着物流网路日益复杂，路线动态变化、需求波动以及交付时效性要求更高，传统运算难以应对大量资料和不断变化的环境。量子运算凭藉其无与伦比的海量资料集处理能力和比传统系统指数级更快的最佳化问题求解速度，提供了一个极具吸引力的解决方案。受量子退火、量子-经典混合框架的进步以及领先科技和物流公司不断增加的投资推动，预计未来十年该市场将大幅成长。

最大的成长动力之一是货运和仓储领域对即时路线优化和预测分析日益增长的需求。大型物流公司正在探索量子解决方案，以解决最后一哩的配送问题、仓库库存优化和跨境货运协调。此外，北美、欧洲以及亚洲部分地区（尤其是日本和新加坡）的政府扶持政策，透过财政和基础设施援助加速了量子技术的采用。此外，透过云端平台整合量子运算降低了进入门槛，即使是中型企业也无需大量资本投入即可进行实验和原型设计。然而，量子计算市场并非没有限制。量子硬体的高成本、熟练劳动力的短缺以及商业量子应用尚处于起步阶段，这些都是主要课题。此外，纠错、演算法稳定性和硬体标准化等问题也阻碍了量子技术的可扩展性和广泛部署。

与许多其他新兴技术不同，物流领域的量子运算提供了具体的、短期的用例，这些用例直接影响成本效益、永续性和客户满意度。随着试点计画的成功以及量子技术公司与大型物流公司之间战略合作伙伴关係的不断增多，我们预计市场将比预期更快地从实验阶段走向实践阶段。

例如，2025年4月，整合光子学和量子光学技术的领导者Quantum Computing Inc. (QCi)宣布向知名汽车製造商销售并交付EmuCore储层电脑。这些设备将用于客户研发。

EmuCore基于现场可程式闸阵列 (FPGA) 构建，提供了一个安全、灵活且节能的平台，可利用机器学习并验证边缘运算场景中的处理工作负载。此次部署将使汽车製造商能够探索高级应用，并作为QCi基于PCIe的光子储层计算单元的试验台，预计将在人工智慧和感测器密集型环境中提供高每瓦性能。

本报告对全球交通运输量子运算市场进行了深入分析，包括市场规模和预测、市场动态以及主要参与者格局。

目录

第1章 计划的范围和定义

第2章 调查手法

第3章 美国关税的影响

第4章 摘要整理

第5章 客户的迴响

• 技术专长及业绩记录
• 适用性和用例相关性
• 可扩展性和硬体就绪性
• 生态系与合作伙伴关係

第6章 全球运输量子运算市场预测(2018年～2032年)

• 市场规模的分析与预测
  • 金额
• 市场占有率的分析与预测
  • 各用途
    • 交通管理系统
    • 物流最佳化
  • 各零件
    • 硬体设备
    • 软体
    • 服务
  • 各技术
    • 量子安妮环
    • 量子闸极模式
  • 各终端用户
    • 大众运输
    • 货物·物流
    • 汽车
    • 航太
    • 其他
  • 各地区
    • 北美
    • 欧洲
    • 亚太地区
    • 南美
    • 中东·非洲
  • 市场占有率分析:各企业(前五名公司和其他)(金额)(2024年)
• 市场地图分析(2024年)
  • 各用途
  • 各零件
  • 各技术
  • 各终端用户
  • 各地区

第7章 北美的运输量子运算市场预测(2018年～2032年)

• 市场规模的分析与预测
  • 金额
• 市场占有率的分析与预测
  • 各用途
    • 交通管理系统
    • 物流最佳化
  • 各零件
    • 硬体设备
    • 软体
    • 服务
  • 各技术
    • 量子安妮环
    • 量子闸极模式
  • 各终端用户
    • 大众运输
    • 货物运输·物流
    • 汽车
    • 航太
    • 其他
  • 占有率:各国
    • 美国
    • 加拿大
    • 墨西哥
• 各国的市场评估
  • 美国的运输量子运算市场预测(2018年～2032年)
    • 市场规模的分析与预测
    • 市场占有率的分析与预测
  • 加拿大
  • 墨西哥

第8章 欧洲的运输量子运算市场预测(2018年～2032年)

• 德国
• 法国
• 义大利
• 英国
• 俄罗斯
• 荷兰
• 西班牙
• 土耳其
• 波兰

第9章 亚太地区的运输量子运算市场预测(2018年～2032年)

• 印度
• 中国
• 日本
• 澳洲
• 越南
• 韩国
• 印尼
• 菲律宾

第10章 南美的运输量子运算市场预测(2018年～2032年)

• 巴西
• 阿根廷

第11章 中东·非洲的运输量子运算市场预测(2018年～2032年)

• 沙乌地阿拉伯
• 阿拉伯联合大公国
• 南非

第12章 供需的分析

第13章 价值链分析

第14章 波特的五力分析

第15章 大环境分析

第16章 市场动态

• 推动市场要素
• 市场课题

第17章 市场趋势与发展

第18章 政策和法规形势

第19章 案例研究

第20章 竞争情形

• 前五名市场领导公司的竞争矩阵
• 前五名公司的SWOT分析
• 前十大主要企业的形势
  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • Honeywell International Inc.
  • Intel Corporation
  • D-Wave Systems Inc.
  • Quantinuum Ltd.
  • Rigetti Computing
  • Quantum Computing Inc.
  • Xanadu Quantum Technologies Inc.

第21章 策略性建议

第22章 关于调查公司·免责声明

Global quantum computing in transportation market is projected to witness a CAGR of 19.56% during the forecast period 2025-2032, growing from USD 46.62 million in 2024 to USD 194.65 million in 2032F, owing to the pressing need for faster, more efficient supply chain operations. As logistics networks become increasingly complex, with dynamic routes, fluctuating demand, and time-sensitive deliveries, classical computing struggles to handle the sheer volume and variability of data. Quantum computing, with its unparalleled ability to process vast datasets and solve optimization problems exponentially faster than traditional systems, offers a compelling solution. The market is poised for substantial growth over the next decade, supported by advancements in quantum annealing, hybrid quantum-classical frameworks, and increased investments from both tech giants and logistics firms.

One of the most significant growth drivers are the increasing demand for real-time route optimization and predictive analytics in freight and warehousing. Major logistics companies are exploring quantum solutions to tackle last-mile delivery issues, warehouse inventory optimization, and cross-border freight coordination. Additionally, supportive government policies in regions such as North America, Europe, and parts of Asia, especially Japan and Singapore, are providing funding and infrastructure support to accelerate adoption. The integration of quantum computing through cloud-based platforms has also lowered entry barriers, allowing even mid-sized firms to experiment and prototype without heavy capital investment. However, the market is not without its restraints. High costs associated with quantum hardware, the lack of a skilled workforce, and the nascent stage of commercial quantum applications pose significant challenges. Moreover, issues related to error correction, algorithm stability, and hardware standardization continue to hamper scalability and broader deployment.

Unlike many other emerging technologies, quantum computing in logistics offers tangible, short-term use cases that directly impact cost-efficiency, sustainability, and customer satisfaction. With a growing number of successful pilot programs and strategic partnerships among quantum tech firms and logistics leaders, the market is expected to move from experimental to actionable much sooner than anticipated.

For instance, in April 2025, Quantum Computing Inc. (QCi), a leader in integrated photonics and quantum optics technology, announced the sale and shipment of its EmuCore reservoir computer to a prominent automotive manufacturer. The device will be utilized by the customer for research and development initiatives.

EmuCore, built on a field-programmable gate array (FPGA), offers a secure, flexible, and energy-efficient platform for leveraging machine learning in edge computing scenarios and validating processing workloads. This deployment allows the automotive manufacturer to explore advanced applications and serve as a testbed for QCi's upcoming PCIe-based photonic reservoir computing units, which are expected to deliver superior performance per watt in AI and sensor-intensive environments.

Advanced Optimisation for Complex Logistics Drives Market Growth

Quantum computing has emerged as a transformative force in optimization-heavy sectors such as transportation and logistics. These domains feature NP-hard problems, such as multivehicle routing, dynamic schedule adjustments, and cargo allocation, that classical systems struggle to solve efficiently at scale. Quantum annealing and hybrid quantum-classical methods can evaluate exponentially larger solution spaces in parallel.

For instance, in late 2024, D-Wave released a logistics-routing datasheet highlighting real-world deployments of its quantum annealer for vehicle routing across delivery networks, public transit, and tour vehicles. According to their findings, quantum-enabled routing reduced travel time and fuel consumption by analyzing complex, dynamic variables in real time. For example, D-Wave's annealer had been deployed to optimize driver scheduling and parcel-truck routing for Hermes Germany, coordinating trucks from 50 depots to 17,000 delivery points. This demonstrates immediate, practical gains: lower operational costs, shortened delivery times, and reduced environmental impact.

These implementations move quantum beyond theoretical promise to measurable efficiency, enabling transport operators to process dynamic constraints such as traffic delays or emergent disruptions on the fly. By handling large-scale route recalculations swiftly, quantum systems significantly enhance responsiveness in logistics chains. Quantum optimization in transportation is growing from pilot stages into early-stage rollouts, attracting interest from major LSPs (logistics service providers) and delivery firms, driving the global market demand.

Enhancing Resilience, Sustainability, And Emissions Reduction Leads Market Growth

Global transportation systems are facing mounting pressure to decarbonize and make more efficient use of resources. Governments and transit agencies are establishing net-zero targets, then tightening fuel-efficiency and congestion norms, usually. Also, simulation and optimization based on quantum computing could make a great impact on these goals.

For instance, the UK Department for Transport released a 2024 report, estimating that up to USD 10.24 billion in value can be opened by quantum-enabled traffic and route optimization by 2035, while emissions savings could contribute USD 3.58 billion annually in reduced congestion costs. The report also draws attention to dynamic route recalculation that is capable of constantly adjusting to the flow of traffic and a surge in demand, aligning directly with emissions reduction and operational resilience goals.

Quantum-enabled planning of bus, municipal or delivery routes that adapt to traffic and avoid road disruption even while idling away and returning. Fleet managers will be able to deploy cars more efficiently, reduce the amount of fuel they use, and lower the amount of greenhouse gases they emit. In addition, the UK plan merges with international governance frameworks, such as the UN's Paris Agreement, by harmonizing quantum technology's role in green transitions.

For this driver of change, which has implications reaching far beyond logistics as cities and countries scale up electrification, smart-transport infrastructure and EV fleet deployment, quantum optimization becomes a critical tool to keep service quality up and meet environmental goals. It is a key foundation stone of next-gen sustainable transport systems.

Dynamic Optimization of Urban Traffic Signals Drives Market Growth

Quantum computing, particularly quantum-inspired optimization, is beginning to redefine how cities manage urban traffic, with real-time control of signal timings becoming a key growth frontier. Unlike traditional systems that follow present signal patterns, quantum solutions can evaluate thousands of timing combinations across multiple intersections simultaneously and adapt on the fly. This enables smarter distribution of green-light intervals, reduction of congestion, and shorter wait times.

For instance, in October 2024, the Port of Hamburg deployed a quantum-inspired Digital Annealer system, known as the MOZART project, to optimize traffic light timings across a congested port area. In a pilot wrapped up, the system dynamically adjusted signal phases across multiple intersections in near real-time. Early results showed improved traffic flow and reduced idling times during peak periods, demonstrating how quantum-based optimization can enhance existing infrastructure without physical expansion.

North America leads the Global Quantum Computing in Transportation Market

North America currently dominates the global quantum computing in logistics market in terms of revenue, accounting for a major share, driven by strong government funding, technological leadership, and early adoption by logistics giants. The U.S. and Canada lead due to initiatives such as the U.S. National Quantum Initiative Act, which has allocated USD 1.2 billion for quantum R&D, and Canada's National Quantum Strategy, fostering public-private partnerships. Major tech firms such as IBM Quantum and D-Wave are headquartered in the region, collaborating with logistics players to test quantum solutions.

For instance, in 2024, Amazon.com, Inc. integrated quantum algorithms via AWS Braket to enhance warehouse automation. It includes features such as Robotic path planning for pick-and-place systems, real-time inventory slotting to reduce retrieval times and Predictive labor allocation using quantum machine learning.

Impact of the U.S. Tariff on Global Quantum Computing in Transportation Market

U.S. tariffs on imported semiconductors, superconducting materials, and specialized electronic components can raise the cost of manufacturing and scaling quantum hardware. This directly impacts companies that rely on global supply chains for essential quantum computing parts, slowing down production and increasing end-user pricing.

Tariffs can create trade tensions and restrict the smooth flow of quantum technology and knowledge across borders. This affects international research partnerships, joint ventures, and vendor relationships, especially when logistics players in tariff-targeted countries hesitate to adopt U.S. based solutions.

Quantum computing applications in logistics often rely on shared technological developments between the U.S. and other innovation hubs. Tariff impositions may slow the transfer of quantum-enabled logistics platforms globally, affecting implementation timelines and increasing regional disparities.

Key Players Landscape and Outlook

The competitive landscape of the global quantum computing in logistics market is characterized by a blend of established technology giants and emerging quantum-focused firms. Competition among top players primarily revolves around technological capability, qubit performance, error correction methods, algorithm efficiency, and scalability of quantum hardware and software platforms. Additionally, the ability to offer end-to-end solutions-including cloud-based quantum access, hybrid quantum-classical algorithms, and integration with existing logistics systems-plays a vital role in determining market positioning. Strategic collaborations, R&D investments, intellectual property strength, and partnerships with logistics providers are also key differentiators. The market outlook remains promising, with increasing interest from logistics companies seeking to leverage quantum computing for solving complex routing, supply chain optimization, and predictive analytics challenges. As quantum hardware matures and quantum-as-a-service models gain traction, competition is expected to intensify, leading to broader adoption and commercialization. However, market success will heavily depend on overcoming current technological constraints, regulatory clarity, and demonstrating real-world value across logistics functions.

In June 2025, at the 49th annual Honeywell Users Group event, Honeywell International Inc. introduced a new suite of digital technologies leveraging artificial intelligence, aimed at accelerating the transition from automation to autonomy in industrial sectors. Among the highlights were the launch of Honeywell Cyber Proactive Defense and the Honeywell OT Security Operations Center, AI-enabled cybersecurity solutions specifically designed to strengthen operational technology (OT) environments against increasingly sophisticated cyber threats. According to the company, these offerings help organizations minimize cyberattack risks, enhance resiliency, and ensure uninterrupted industrial operations.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Technical Expertise and Track Record
• 5.2. Application Fit and Use Case Relevance
• 5.3. Scalability and Hardware Readiness
• 5.4. Ecosystem and Partnerships

6. Global Quantum Computing in Transportation Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Application
    • 6.2.1.1. Traffic Management Systems
    • 6.2.1.2. Logistics Optimization
  • 6.2.2. By Component
    • 6.2.2.1. Hardware
    • 6.2.2.2. Software
    • 6.2.2.3. Services
  • 6.2.3. By Technology
    • 6.2.3.1. Quantum Annealing
    • 6.2.3.2. Quantum Gate Model
  • 6.2.4. By End-user
    • 6.2.4.1. Public Transportation
    • 6.2.4.2. Freight & Logistics
    • 6.2.4.3. Automotive
    • 6.2.4.4. Aerospace
    • 6.2.4.5. Others
  • 6.2.5. By Region
    • 6.2.5.1. North America
    • 6.2.5.2. Europe
    • 6.2.5.3. Asia-Pacific
    • 6.2.5.4. South America
    • 6.2.5.5. Middle East and Africa
  • 6.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Application
  • 6.3.2. By Component
  • 6.3.3. By Technology
  • 6.3.4. By End-user
  • 6.3.5. By Region

7. North America Quantum Computing in Transportation Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1. By Application
    • 7.2.1.1. Traffic Management Systems
    • 7.2.1.2. Logistics Optimization
  • 7.2.2. By Component
    • 7.2.2.1. Hardware
    • 7.2.2.2. Software
    • 7.2.2.3. Services
  • 7.2.3. By Technology
    • 7.2.3.1. Quantum Annealing
    • 7.2.3.2. Quantum Gate Model
  • 7.2.4. By End-user
    • 7.2.4.1. Public Transportation
    • 7.2.4.2. Freight and Logistics
    • 7.2.4.3. Automotive
    • 7.2.4.4. Aerospace
    • 7.2.4.5. Others
  • 7.2.5. By Country Share
    • 7.2.5.1. United States
    • 7.2.5.2. Canada
    • 7.2.5.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States Quantum Computing in Transportation Market Outlook, 2018-2032F*
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Application
        • 7.3.1.2.1.1. Traffic Management Systems,
        • 7.3.1.2.1.2. Logistics Optimization
      • 7.3.1.2.2. By Component
        • 7.3.1.2.2.1. Hardware
        • 7.3.1.2.2.2. Software
        • 7.3.1.2.2.3. Services
      • 7.3.1.2.3. By Technology
        • 7.3.1.2.3.1. Quantum Annealing
        • 7.3.1.2.3.2. Quantum Gate Model
      • 7.3.1.2.4. By End-user
        • 7.3.1.2.4.1. Public Transportation
        • 7.3.1.2.4.2. Freight and Logistics
        • 7.3.1.2.4.3. Automotive
        • 7.3.1.2.4.4. Aerospace
        • 7.3.1.2.4.5. Others
  • 7.3.2. Canada
  • 7.3.3. Mexico

All segments will be provided for all regions and countries covered

8. Europe Quantum Computing in Transportation Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific Quantum Computing in Transportation Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America Quantum Computing in Transportation Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa Quantum Computing in Transportation Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Demand Supply Analysis

13. Value Chain Analysis

14. Porter's Five Forces Analysis

15. PESTLE Analysis

16. Market Dynamics

• 16.1. Market Drivers
• 16.2. Market Challenges

17. Market Trends and Developments

18. Policy and Regulatory Landscape

19. Case Studies

20. Competitive Landscape

• 20.1. Competition Matrix of Top 5 Market Leaders
• 20.2. SWOT Analysis for Top 5 Players
• 20.3. Key Players Landscape for Top 10 Market Players
  • 20.3.1. IBM Corporation
    • 20.3.1.1. Company Details
    • 20.3.1.2. Key Management Personnel
    • 20.3.1.3. Products and Services
    • 20.3.1.4. Financials (As Reported)
    • 20.3.1.5. Key Market Focus and Geographical Presence
    • 20.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 20.3.2. Google LLC
  • 20.3.3. Microsoft Corporation
  • 20.3.4. Honeywell International Inc.
  • 20.3.5. Intel Corporation
  • 20.3.6. D-Wave Systems Inc.
  • 20.3.7. Quantinuum Ltd.
  • 20.3.8. Rigetti Computing
  • 20.3.9. Quantum Computing Inc.
  • 20.3.10. Xanadu Quantum Technologies Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

21. Strategic Recommendations

22. About Us and Disclaimer

List of Tables

• Table 1. Competition Matrix of Top 5 Market Leaders
• Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 2. Global Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 3. Global Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 4. Global Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 5. Global Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 6. Global Quantum Computing in Transportation Market Share (%), By Region, 2018-2032F
• Figure 7. North America Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 8. North America Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 9. North America Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 10. North America Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 11. North America Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 12. North America Quantum Computing in Transportation Market Share (%), By Country, 2018-2032F
• Figure 13. United States Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 14. United States Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 15. United States Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 16. United States Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 17. United States Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 18. Canada Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 19. Canada Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 20. Canada Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 21. Canada Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 22. Canada Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 23. Mexico Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 24. Mexico Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 25. Mexico Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 26. Mexico Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 27. Mexico Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 28. Europe Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 29. Europe Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 30. Europe Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 31. Europe Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 32. Europe Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 33. Europe Quantum Computing in Transportation Market Share (%), By Country, 2018-2032F
• Figure 34. Germany Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 35. Germany Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 36. Germany Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 37. Germany Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 38. Germany Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 39. France Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 40. France Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 41. France Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 42. France Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 43. France Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 44. Italy Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 45. Italy Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 46. Italy Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 47. Italy Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 48. Italy Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 49. United Kingdom Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 50. United Kingdom Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 51. United Kingdom Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 52. United Kingdom Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 53. United Kingdom Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 54. Russia Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 55. Russia Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 56. Russia Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 57. Russia Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 58. Russia Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 59. Netherlands Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 60. Netherlands Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 61. Netherlands Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 62. Netherlands Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 63. Netherlands Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 64. Spain Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 65. Spain Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 66. Spain Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 67. Spain Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 68. Spain Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 69. Turkey Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 70. Turkey Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 71. Turkey Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 72. Turkey Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 73. Turkey Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 74. Poland Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 75. Poland Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 76. Poland Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 77. Poland Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 78. Poland Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 79. South America Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 80. South America Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 81. South America Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 82. South America Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 83. South America Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 84. South America Quantum Computing in Transportation Market Share (%), By Country, 2018-2032F
• Figure 85. Brazil Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 86. Brazil Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 87. Brazil Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 88. Brazil Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 89. Brazil Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 90. Argentina Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 91. Argentina Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 92. Argentina Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 93. Argentina Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 94. Argentina Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 95. Asia-Pacific Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 96. Asia-Pacific Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 97. Asia-Pacific Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 98. Asia-Pacific Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 99. Asia-Pacific Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 100. Asia-Pacific Quantum Computing in Transportation Market Share (%), By Country, 2018-2032F
• Figure 101. India Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 102. India Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 103. India Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 104. India Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 105. India Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 106. China Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 107. China Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 108. China Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 109. China Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 110. China Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 111. Japan Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 112. Japan Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 113. Japan Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 114. Japan Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 115. Japan Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 116. Australia Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 117. Australia Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 118. Australia Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 119. Australia Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 120. Australia Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 121. Vietnam Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 122. Vietnam Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 123. Vietnam Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 124. Vietnam Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 125. Vietnam Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 126. South Korea Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 127. South Korea Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 128. South Korea Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 129. South Korea Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 130. South Korea Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 131. Indonesia Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 132. Indonesia Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 133. Indonesia Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 134. Indonesia Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 135. Indonesia Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 136. Philippines Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 137. Philippines Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 138. Philippines Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 139. Philippines Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 140. Philippines Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 141. Middle East & Africa Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 142. Middle East & Africa Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 143. Middle East & Africa Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 144. Middle East & Africa Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 145. Middle East & Africa Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 146. Middle East & Africa Quantum Computing in Transportation Market Share (%), By Country, 2018-2032F
• Figure 147. Saudi Arabia Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 148. Saudi Arabia Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 149. Saudi Arabia Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 150. Saudi Arabia Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 151. Saudi Arabia Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 152. UAE Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 153. UAE Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 154. UAE Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 155. UAE Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 156. UAE Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 157. South Africa Quantum Computing in Transportation Market, By Value, In USD Million, 2018-2032F
• Figure 158. South Africa Quantum Computing in Transportation Market Share (%), By Application, 2018-2032F
• Figure 159. South Africa Quantum Computing in Transportation Market Share (%), By Component, 2018-2032F
• Figure 160. South Africa Quantum Computing in Transportation Market Share (%), By Technology, 2018-2032F
• Figure 161. South Africa Quantum Computing in Transportation Market Share (%), By End-user, 2018-2032F
• Figure 162. By Application Map-Market Size (USD Million) & Growth Rate (%), 2024
• Figure 163. By Component Map-Market Size (USD Million) & Growth Rate (%), 2024
• Figure 164. By Technology Map-Market Size (USD Million) & Growth Rate (%), 2024
• Figure 165. By End-user Map-Market Size (USD Million) & Growth Rate (%), 2024
• Figure 166. By Region Map-Market Size (USD Million) & Growth Rate (%), 2024