市場調査レポート

商品コード

1756018

輸送向け量子コンピューティングの世界市場の評価：用途別、コンポーネント別、技術別、エンドユーザー別、地域別、機会、予測（2018年～2032年）

Global Quantum Computing in Transportation Market Assessment, By Application, By Component, By Technology, By End-user, By Region, Opportunities and Forecast, 2018-2032F

出版日: 2025年06月25日
発行: Markets & Data
ページ情報: 英文 242 Pages
納期: 3～5営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

世界の輸送向け量子コンピューティングの市場規模は、2024年の4,662万米ドルから2032年に1億9,465万米ドルに達すると予測され、2025年～2032年の予測期間にCAGRで19.56%の成長が見込まれます。動的なルート、変動する需要、一刻を争う配送など、ロジスティクスネットワークがますます複雑化するにつれ、従来のコンピューティングでは膨大な量のデータと変動性の処理に苦戦するようになっています。膨大なデータセットを処理し、従来のシステムよりも指数関数的に速く最適化問題を解く比類ない能力を持つ量子コンピューティングは、説得力のあるソリューションを提供します。量子アニーリング、量子古典ハイブリッドフレームワークの進歩、大手テック企業とロジスティクス企業の両方からの投資の増加などに支えられ、市場は今後10年間に大幅な成長が見込まれています。

もっとも大きな成長要因の1つは、貨物輸送や倉庫管理におけるリアルタイムのルート最適化や予測分析に対する需要の高まりです。主要ロジスティクス企業は、ラストワンマイル配送問題、倉庫在庫の最適化、国境を越えた貨物の調整などに取り組むため、量子ソリューションを模索しています。さらに、北米、欧州、アジアの一部、特に日本やシンガポールなどの地域では、政府の支援政策により、資金援助やインフラ支援が行われ、採用が加速しています。また、クラウドベースのプラットフォームを通じて量子コンピューティングが統合されたことで、参入障壁が下がり、中堅企業でも多額の設備投資をせずに実験や試作ができるようになっています。しかし、市場に抑制要因がないわけではありません。量子ハードウェアに関連する高いコストや、熟練労働力の不足、商業量子利用の黎明期が大きな課題となっています。さらに、エラー訂正、アルゴリズムの安定性、ハードウェアの標準化に関する問題が、スケーラビリティと幅広い展開の妨げとなっています。

その他の多くの新技術とは異なり、ロジスティクスにおける量子コンピューティングは、コスト効率、持続可能性、顧客満足度に直接影響する具体的かつ短期的なユースケースを提供します。パイロットプログラムの成功例や、量子技術企業と主要ロジスティクス企業との戦略的パートナーシップの増加により、市場は実験的なものから実用的なものへと予測よりもずっと早く移行すると予測されます。

例えば2025年4月、集積フォトニクスと量子光学技術のリーダーであるQuantum Computing Inc.（QCi）は、著名な自動車メーカーへのEmuCoreリザーバーコンピューターの販売と出荷を発表しました。このデバイスは、顧客の研究開発に利用される予定です。

フィールドプログラマブルゲートアレイ（FPGA）上に構築されたEmuCoreは、エッジコンピューティングシナリオで機械学習を活用し、処理ワークロードを検証する、安全で柔軟かつエネルギー効率の高いプラットフォームを提供します。この展開により、自動車メーカーは先進の用途を探求し、AIやセンサー集約的な環境で高いワットあたり性能が期待される、QCiのPCIeベースのフォトニックリザーバーコンピューティングユニットのテストベッドとしての役割を果たすことができます。

当レポートでは、世界の輸送向け量子コンピューティング市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢などを提供しています。

市場規模の分析と予測
- 金額
市場シェアの分析と予測
- 用途別
  - 交通管理システム
  - ロジスティクス最適化
- コンポーネント別
  - ハードウェア
  - ソフトウェア
  - サービス
- 技術別
  - 量子アニーリング
  - 量子ゲートモデル
- エンドユーザー別
  - 公共交通機関
  - 貨物・ロジスティクス
  - 自動車
  - 航空宇宙
  - その他
- 地域別
  - 北米
  - 欧州
  - アジア太平洋
  - 南米
  - 中東・アフリカ
- 市場シェア分析：企業別（上位5社とその他）（金額）（2024年）
市場マップ分析（2024年）
- 用途別
- コンポーネント別
- 技術別
- エンドユーザー別
- 地域別

第7章北米の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

市場規模の分析と予測
- 金額
市場シェアの分析と予測
- 用途別
  - 交通管理システム
  - ロジスティクス最適化
- コンポーネント別
  - ハードウェア
  - ソフトウェア
  - サービス
- 技術別
  - 量子アニーリング
  - 量子ゲートモデル
- エンドユーザー別
  - 公共交通機関
  - 貨物輸送・ロジスティクス
  - 自動車
  - 航空宇宙
  - その他
- シェア：国別
  - 米国
  - カナダ
  - メキシコ
各国の市場の評価
- 米国の輸送向け量子コンピューティング市場の見通し（2018年～2032年）
  - 市場規模の分析と予測
  - 市場シェアの分析と予測
- カナダ
- メキシコ

第8章欧州の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

ドイツ
フランス
イタリア
英国
ロシア
オランダ
スペイン
トルコ
ポーランド

第9章アジア太平洋の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

インド
中国
日本
オーストラリア
ベトナム
韓国
インドネシア
フィリピン

第10章南米の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

ブラジル
アルゼンチン

第11章中東・アフリカの輸送向け量子コンピューティング市場の見通し（2018年～2032年）

サウジアラビア
アラブ首長国連邦
南アフリカ

第12章需給の分析

第13章バリューチェーン分析

第14章ポーターのファイブフォース分析

第15章 PESTLE分析

第16章市場力学

市場促進要因
市場の課題

第17章市場動向と発展

第18章政策と規制情勢

第19章ケーススタディ

第20章競合情勢

マーケットリーダー上位5社の競合マトリクス
上位5社のSWOT分析
主要企業上位10社の情勢
- 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章戦略的提言

第22章調査会社について・免責事項

図表

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

Product Code: MX13438

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.

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.

輸送向け量子コンピューティングの世界市場の評価：用途別、コンポーネント別、技術別、エンドユーザー別、地域別、機会、予測（2018年～2032年）

Global Quantum Computing in Transportation Market Assessment, By Application, By Component, By Technology, By End-user, By Region, Opportunities and Forecast, 2018-2032F

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 米国関税の影響

第4章 エグゼクティブサマリー

第5章 顧客の声

第6章 世界の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第7章 北米の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第8章 欧州の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第9章 アジア太平洋の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第10章 南米の輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第11章 中東・アフリカの輸送向け量子コンピューティング市場の見通し（2018年～2032年）

第12章 需給の分析

第13章 バリューチェーン分析

第14章 ポーターのファイブフォース分析