Big data transportation applications refer to the use of big data technologies and analytical methods to optimize and improve the management, planning and operation of transportation systems. By collecting, storing and analyzing large amounts of traffic data from various sources, these applications aim to improve the efficiency of traffic flow, improve road safety, reduce traffic congestion, and provide a better user experience.
The global Big Data Transportation Applications market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Big Data Transportation Applications is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Big Data Transportation Applications is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Big Data Transportation Applications in Government institutions is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Big Data Transportation Applications include AWS, Google, Microsoft, IBM, Teradata, Cloudera, Hortonworks, Oracle, Siemens, Shenzhen Urban Transportation Group, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Big Data Transportation Applications, 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 Big Data Transportation Applications.
The Big Data Transportation Applications market size, estimations, and forecasts are provided in terms of and 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 Big Data Transportation Applications 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 Big Data Transportation Applications companies, new entrants, and industry chain related companies in this market with information on the revenues 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
AWS
Google
Microsoft
IBM
Teradata
Cloudera
Hortonworks
Oracle
Siemens
Shenzhen Urban Transportation Group
Suzhou Jiaotong Group
Baidu
Alibaba
Tencent
Beijing Xiaoju Technology
Ping An Insurance
Yinjiang Holdings
Enjoyor
ZTE
Hikvision
Hisense
Dianke Intelligent Technology
Ehualu
China Electronics Technology Group
Antong Technology
AutoNavi Map
Datang Telecom
COSCO Shipping Technology
Inspur Group
Segment by Type
Cloud-based
Local-based
Segment by Application
Government institutions
Enterprises
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Big Data Transportation Applications company 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 Big Data Transportation Applications Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 Local-based
1.3 Market by Application
1.3.1 Global Big Data Transportation Applications Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Government institutions
1.3.3 Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data Transportation Applications Market Perspective (2019-2030)
2.2 Global Big Data Transportation Applications Growth Trends by Region
2.2.1 Global Big Data Transportation Applications Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data Transportation Applications Historic Market Size by Region (2019-2024)
2.2.3 Big Data Transportation Applications Forecasted Market Size by Region (2025-2030)
2.3 Big Data Transportation Applications Market Dynamics
2.3.1 Big Data Transportation Applications Industry Trends
2.3.2 Big Data Transportation Applications Market Drivers
2.3.3 Big Data Transportation Applications Market Challenges
2.3.4 Big Data Transportation Applications Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data Transportation Applications Players by Revenue
3.1.1 Global Top Big Data Transportation Applications Players by Revenue (2019-2024)
3.1.2 Global Big Data Transportation Applications Revenue Market Share by Players (2019-2024)
3.2 Global Big Data Transportation Applications Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Big Data Transportation Applications Revenue
3.4 Global Big Data Transportation Applications Market Concentration Ratio
3.4.1 Global Big Data Transportation Applications Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data Transportation Applications Revenue in 2023
3.5 Global Key Players of Big Data Transportation Applications Head office and Area Served
3.6 Global Key Players of Big Data Transportation Applications, Product and Application
3.7 Global Key Players of Big Data Transportation Applications, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data Transportation Applications Breakdown Data by Type
4.1 Global Big Data Transportation Applications Historic Market Size by Type (2019-2024)
4.2 Global Big Data Transportation Applications Forecasted Market Size by Type (2025-2030)
5 Big Data Transportation Applications Breakdown Data by Application
5.1 Global Big Data Transportation Applications Historic Market Size by Application (2019-2024)
5.2 Global Big Data Transportation Applications Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data Transportation Applications Market Size (2019-2030)
6.2 North America Big Data Transportation Applications Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data Transportation Applications Market Size by Country (2019-2024)
6.4 North America Big Data Transportation Applications Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data Transportation Applications Market Size (2019-2030)
7.2 Europe Big Data Transportation Applications Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data Transportation Applications Market Size by Country (2019-2024)
7.4 Europe Big Data Transportation Applications 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 Big Data Transportation Applications Market Size (2019-2030)
8.2 Asia-Pacific Big Data Transportation Applications Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data Transportation Applications Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data Transportation Applications 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 Big Data Transportation Applications Market Size (2019-2030)
9.2 Latin America Big Data Transportation Applications Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data Transportation Applications Market Size by Country (2019-2024)
9.4 Latin America Big Data Transportation Applications Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data Transportation Applications Market Size (2019-2030)
10.2 Middle East & Africa Big Data Transportation Applications Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data Transportation Applications Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data Transportation Applications Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Details
11.1.2 AWS Business Overview
11.1.3 AWS Big Data Transportation Applications Introduction
11.1.4 AWS Revenue in Big Data Transportation Applications Business (2019-2024)
11.1.5 AWS Recent Development
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google Big Data Transportation Applications Introduction
11.2.4 Google Revenue in Big Data Transportation Applications Business (2019-2024)
11.2.5 Google Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Big Data Transportation Applications Introduction
11.3.4 Microsoft Revenue in Big Data Transportation Applications Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 IBM
11.4.1 IBM Company Details
11.4.2 IBM Business Overview
11.4.3 IBM Big Data Transportation Applications Introduction
11.4.4 IBM Revenue in Big Data Transportation Applications Business (2019-2024)
11.4.5 IBM Recent Development
11.5 Teradata
11.5.1 Teradata Company Details
11.5.2 Teradata Business Overview
11.5.3 Teradata Big Data Transportation Applications Introduction
11.5.4 Teradata Revenue in Big Data Transportation Applications Business (2019-2024)
11.5.5 Teradata Recent Development
11.6 Cloudera
11.6.1 Cloudera Company Details
11.6.2 Cloudera Business Overview
11.6.3 Cloudera Big Data Transportation Applications Introduction
11.6.4 Cloudera Revenue in Big Data Transportation Applications Business (2019-2024)
11.6.5 Cloudera Recent Development
11.7 Hortonworks
11.7.1 Hortonworks Company Details
11.7.2 Hortonworks Business Overview
11.7.3 Hortonworks Big Data Transportation Applications Introduction
11.7.4 Hortonworks Revenue in Big Data Transportation Applications Business (2019-2024)
11.7.5 Hortonworks Recent Development
11.8 Oracle
11.8.1 Oracle Company Details
11.8.2 Oracle Business Overview
11.8.3 Oracle Big Data Transportation Applications Introduction
11.8.4 Oracle Revenue in Big Data Transportation Applications Business (2019-2024)
11.8.5 Oracle Recent Development
11.9 Siemens
11.9.1 Siemens Company Details
11.9.2 Siemens Business Overview
11.9.3 Siemens Big Data Transportation Applications Introduction
11.9.4 Siemens Revenue in Big Data Transportation Applications Business (2019-2024)
11.9.5 Siemens Recent Development
11.10 Shenzhen Urban Transportation Group
11.10.1 Shenzhen Urban Transportation Group Company Details
11.10.2 Shenzhen Urban Transportation Group Business Overview
11.10.3 Shenzhen Urban Transportation Group Big Data Transportation Applications Introduction
11.10.4 Shenzhen Urban Transportation Group Revenue in Big Data Transportation Applications Business (2019-2024)
11.10.5 Shenzhen Urban Transportation Group Recent Development
11.11 Suzhou Jiaotong Group
11.11.1 Suzhou Jiaotong Group Company Details
11.11.2 Suzhou Jiaotong Group Business Overview
11.11.3 Suzhou Jiaotong Group Big Data Transportation Applications Introduction
11.11.4 Suzhou Jiaotong Group Revenue in Big Data Transportation Applications Business (2019-2024)
11.11.5 Suzhou Jiaotong Group Recent Development
11.12 Baidu
11.12.1 Baidu Company Details
11.12.2 Baidu Business Overview
11.12.3 Baidu Big Data Transportation Applications Introduction
11.12.4 Baidu Revenue in Big Data Transportation Applications Business (2019-2024)
11.12.5 Baidu Recent Development
11.13 Alibaba
11.13.1 Alibaba Company Details
11.13.2 Alibaba Business Overview
11.13.3 Alibaba Big Data Transportation Applications Introduction
11.13.4 Alibaba Revenue in Big Data Transportation Applications Business (2019-2024)
11.13.5 Alibaba Recent Development
11.14 Tencent
11.14.1 Tencent Company Details
11.14.2 Tencent Business Overview
11.14.3 Tencent Big Data Transportation Applications Introduction
11.14.4 Tencent Revenue in Big Data Transportation Applications Business (2019-2024)
11.14.5 Tencent Recent Development
11.15 Beijing Xiaoju Technology
11.15.1 Beijing Xiaoju Technology Company Details
11.15.2 Beijing Xiaoju Technology Business Overview
11.15.3 Beijing Xiaoju Technology Big Data Transportation Applications Introduction
11.15.4 Beijing Xiaoju Technology Revenue in Big Data Transportation Applications Business (2019-2024)
11.15.5 Beijing Xiaoju Technology Recent Development
11.16 Ping An Insurance
11.16.1 Ping An Insurance Company Details
11.16.2 Ping An Insurance Business Overview
11.16.3 Ping An Insurance Big Data Transportation Applications Introduction
11.16.4 Ping An Insurance Revenue in Big Data Transportation Applications Business (2019-2024)
11.16.5 Ping An Insurance Recent Development
11.17 Yinjiang Holdings
11.17.1 Yinjiang Holdings Company Details
11.17.2 Yinjiang Holdings Business Overview
11.17.3 Yinjiang Holdings Big Data Transportation Applications Introduction
11.17.4 Yinjiang Holdings Revenue in Big Data Transportation Applications Business (2019-2024)
11.17.5 Yinjiang Holdings Recent Development
11.18 Enjoyor
11.18.1 Enjoyor Company Details
11.18.2 Enjoyor Business Overview
11.18.3 Enjoyor Big Data Transportation Applications Introduction
11.18.4 Enjoyor Revenue in Big Data Transportation Applications Business (2019-2024)
11.18.5 Enjoyor Recent Development
11.19 ZTE
11.19.1 ZTE Company Details
11.19.2 ZTE Business Overview
11.19.3 ZTE Big Data Transportation Applications Introduction
11.19.4 ZTE Revenue in Big Data Transportation Applications Business (2019-2024)
11.19.5 ZTE Recent Development
11.20 Hikvision
11.20.1 Hikvision Company Details
11.20.2 Hikvision Business Overview
11.20.3 Hikvision Big Data Transportation Applications Introduction
11.20.4 Hikvision Revenue in Big Data Transportation Applications Business (2019-2024)
11.20.5 Hikvision Recent Development
11.21 Hisense
11.21.1 Hisense Company Details
11.21.2 Hisense Business Overview
11.21.3 Hisense Big Data Transportation Applications Introduction
11.21.4 Hisense Revenue in Big Data Transportation Applications Business (2019-2024)
11.21.5 Hisense Recent Development
11.22 Dianke Intelligent Technology
11.22.1 Dianke Intelligent Technology Company Details
11.22.2 Dianke Intelligent Technology Business Overview
11.22.3 Dianke Intelligent Technology Big Data Transportation Applications Introduction
11.22.4 Dianke Intelligent Technology Revenue in Big Data Transportation Applications Business (2019-2024)
11.22.5 Dianke Intelligent Technology Recent Development
11.23 Ehualu
11.23.1 Ehualu Company Details
11.23.2 Ehualu Business Overview
11.23.3 Ehualu Big Data Transportation Applications Introduction
11.23.4 Ehualu Revenue in Big Data Transportation Applications Business (2019-2024)
11.23.5 Ehualu Recent Development
11.24 China Electronics Technology Group
11.24.1 China Electronics Technology Group Company Details
11.24.2 China Electronics Technology Group Business Overview
11.24.3 China Electronics Technology Group Big Data Transportation Applications Introduction
11.24.4 China Electronics Technology Group Revenue in Big Data Transportation Applications Business (2019-2024)
11.24.5 China Electronics Technology Group Recent Development
11.25 Antong Technology
11.25.1 Antong Technology Company Details
11.25.2 Antong Technology Business Overview
11.25.3 Antong Technology Big Data Transportation Applications Introduction
11.25.4 Antong Technology Revenue in Big Data Transportation Applications Business (2019-2024)
11.25.5 Antong Technology Recent Development
11.26 AutoNavi Map
11.26.1 AutoNavi Map Company Details
11.26.2 AutoNavi Map Business Overview
11.26.3 AutoNavi Map Big Data Transportation Applications Introduction
11.26.4 AutoNavi Map Revenue in Big Data Transportation Applications Business (2019-2024)
11.26.5 AutoNavi Map Recent Development
11.27 Datang Telecom
11.27.1 Datang Telecom Company Details
11.27.2 Datang Telecom Business Overview
11.27.3 Datang Telecom Big Data Transportation Applications Introduction
11.27.4 Datang Telecom Revenue in Big Data Transportation Applications Business (2019-2024)
11.27.5 Datang Telecom Recent Development
11.28 COSCO Shipping Technology
11.28.1 COSCO Shipping Technology Company Details
11.28.2 COSCO Shipping Technology Business Overview
11.28.3 COSCO Shipping Technology Big Data Transportation Applications Introduction
11.28.4 COSCO Shipping Technology Revenue in Big Data Transportation Applications Business (2019-2024)
11.28.5 COSCO Shipping Technology Recent Development
11.29 Inspur Group
11.29.1 Inspur Group Company Details
11.29.2 Inspur Group Business Overview
11.29.3 Inspur Group Big Data Transportation Applications Introduction
11.29.4 Inspur Group Revenue in Big Data Transportation Applications Business (2019-2024)
11.29.5 Inspur Group Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
AWS
Google
Microsoft
IBM
Teradata
Cloudera
Hortonworks
Oracle
Siemens
Shenzhen Urban Transportation Group
Suzhou Jiaotong Group
Baidu
Alibaba
Tencent
Beijing Xiaoju Technology
Ping An Insurance
Yinjiang Holdings
Enjoyor
ZTE
Hikvision
Hisense
Dianke Intelligent Technology
Ehualu
China Electronics Technology Group
Antong Technology
AutoNavi Map
Datang Telecom
COSCO Shipping Technology
Inspur Group
听
听
*If Applicable.
