
Solving the Travelling Salesman Problem (TSP) with quantum computers could revolutionize how trucking companies book loads by providing near-instantaneous, optimal route solutions, even for complex routes with multiple stops.
The global Quantum Computing in Transportation market was valued at US$ 38 million in 2023 and is anticipated to reach US$ 49 million by 2030, witnessing a CAGR of 3.9% during the forecast period 2024-2030.
The Quantum Computing market covers Hardware, Software, etc. The typical players include D-Wave Solutions, IBM, Google, etc.
The global Quantum Computing market size is expected to reach US$ 1987.6 million by 2029, growing at a CAGR of 35.2% from 2023 to 2029. The market is mainly driven by the significant applications of Quantum Computing in various end use industries.
This report aims to provide a comprehensive presentation of the global market for Quantum Computing in Transportation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Quantum Computing in Transportation.
Report Scope
The Quantum Computing in Transportation market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Quantum Computing in Transportation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Quantum Computing in Transportation companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Google
Rigetti Computing
Microsoft
D-Wave Solutions
Intel
Origin Quantum Computing Technology
Anyon Systems Inc.
Segment by Type
Traffic Control
Transport Mode Management
Segment by Application
Government Agency
Fleet Management
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Quantum Computing in Transportation companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Quantum Computing in Transportation Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Traffic Control
1.2.3 Transport Mode Management
1.3 Market by Application
1.3.1 Global Quantum Computing in Transportation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Government Agency
1.3.3 Fleet Management
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Quantum Computing in Transportation Market Perspective (2019-2030)
2.2 Quantum Computing in Transportation Growth Trends by Region
2.2.1 Global Quantum Computing in Transportation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Quantum Computing in Transportation Historic Market Size by Region (2019-2024)
2.2.3 Quantum Computing in Transportation Forecasted Market Size by Region (2025-2030)
2.3 Quantum Computing in Transportation Market Dynamics
2.3.1 Quantum Computing in Transportation Industry Trends
2.3.2 Quantum Computing in Transportation Market Drivers
2.3.3 Quantum Computing in Transportation Market Challenges
2.3.4 Quantum Computing in Transportation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Quantum Computing in Transportation Players by Revenue
3.1.1 Global Top Quantum Computing in Transportation Players by Revenue (2019-2024)
3.1.2 Global Quantum Computing in Transportation Revenue Market Share by Players (2019-2024)
3.2 Global Quantum Computing in Transportation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Quantum Computing in Transportation Revenue
3.4 Global Quantum Computing in Transportation Market Concentration Ratio
3.4.1 Global Quantum Computing in Transportation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Quantum Computing in Transportation Revenue in 2023
3.5 Quantum Computing in Transportation Key Players Head office and Area Served
3.6 Key Players Quantum Computing in Transportation Product Solution and Service
3.7 Date of Enter into Quantum Computing in Transportation Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Quantum Computing in Transportation Breakdown Data by Type
4.1 Global Quantum Computing in Transportation Historic Market Size by Type (2019-2024)
4.2 Global Quantum Computing in Transportation Forecasted Market Size by Type (2025-2030)
5 Quantum Computing in Transportation Breakdown Data by Application
5.1 Global Quantum Computing in Transportation Historic Market Size by Application (2019-2024)
5.2 Global Quantum Computing in Transportation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Quantum Computing in Transportation Market Size (2019-2030)
6.2 North America Quantum Computing in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Quantum Computing in Transportation Market Size by Country (2019-2024)
6.4 North America Quantum Computing in Transportation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Quantum Computing in Transportation Market Size (2019-2030)
7.2 Europe Quantum Computing in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Quantum Computing in Transportation Market Size by Country (2019-2024)
7.4 Europe Quantum Computing in Transportation Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Quantum Computing in Transportation Market Size (2019-2030)
8.2 Asia-Pacific Quantum Computing in Transportation Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Quantum Computing in Transportation Market Size by Region (2019-2024)
8.4 Asia-Pacific Quantum Computing in Transportation Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Quantum Computing in Transportation Market Size (2019-2030)
9.2 Latin America Quantum Computing in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Quantum Computing in Transportation Market Size by Country (2019-2024)
9.4 Latin America Quantum Computing in Transportation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Quantum Computing in Transportation Market Size (2019-2030)
10.2 Middle East & Africa Quantum Computing in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Quantum Computing in Transportation Market Size by Country (2019-2024)
10.4 Middle East & Africa Quantum Computing in Transportation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Quantum Computing in Transportation Introduction
11.1.4 IBM Revenue in Quantum Computing in Transportation Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Quantum Computing in Transportation Introduction
11.2.4 Google Revenue in Quantum Computing in Transportation Business (2019-2024)
11.2.5 Google Recent Development
11.3 Rigetti Computing
11.3.1 Rigetti Computing Company Detail
11.3.2 Rigetti Computing Business Overview
11.3.3 Rigetti Computing Quantum Computing in Transportation Introduction
11.3.4 Rigetti Computing Revenue in Quantum Computing in Transportation Business (2019-2024)
11.3.5 Rigetti Computing Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Quantum Computing in Transportation Introduction
11.4.4 Microsoft Revenue in Quantum Computing in Transportation Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 D-Wave Solutions
11.5.1 D-Wave Solutions Company Detail
11.5.2 D-Wave Solutions Business Overview
11.5.3 D-Wave Solutions Quantum Computing in Transportation Introduction
11.5.4 D-Wave Solutions Revenue in Quantum Computing in Transportation Business (2019-2024)
11.5.5 D-Wave Solutions Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Quantum Computing in Transportation Introduction
11.6.4 Intel Revenue in Quantum Computing in Transportation Business (2019-2024)
11.6.5 Intel Recent Development
11.7 Origin Quantum Computing Technology
11.7.1 Origin Quantum Computing Technology Company Detail
11.7.2 Origin Quantum Computing Technology Business Overview
11.7.3 Origin Quantum Computing Technology Quantum Computing in Transportation Introduction
11.7.4 Origin Quantum Computing Technology Revenue in Quantum Computing in Transportation Business (2019-2024)
11.7.5 Origin Quantum Computing Technology Recent Development
11.8 Anyon Systems Inc.
11.8.1 Anyon Systems Inc. Company Detail
11.8.2 Anyon Systems Inc. Business Overview
11.8.3 Anyon Systems Inc. Quantum Computing in Transportation Introduction
11.8.4 Anyon Systems Inc. Revenue in Quantum Computing in Transportation Business (2019-2024)
11.8.5 Anyon Systems Inc. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
IBM
Google
Rigetti Computing
Microsoft
D-Wave Solutions
Intel
Origin Quantum Computing Technology
Anyon Systems Inc.
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*If Applicable.
