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Global Big Data Analytics in Transportation Market Research Report 2024
Synopsis
The global Big Data Analytics in Transportation 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.
Big data analytics involves examination of large and varied data sets to help organizations make more informed business decisions. Further, the introduction of big data analytics in transportation industry has increased the efficiency of data management and predictive modeling.
This report aims to provide a comprehensive presentation of the global market for Big Data Analytics 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 Big Data Analytics in Transportation.
Report Scope
The Big Data Analytics 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 Big Data Analytics 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 Big Data Analytics 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
Qlik Technologies
IBM
Hewlett Packard Enterprise
Microsoft
Amazon
SAP SE
Teradata
Cloudera
Tableau
iTechArt
Talend
CHA Consulting
MongoDB
Datapine
Smartbi
FineBI
Segment by Type
Software
Service
Segment by Application
Highway
Railway
Water Transport
Air Transport
Others
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 Big Data Analytics 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.
The global Big Data Analytics in Transportation 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.
Big data analytics involves examination of large and varied data sets to help organizations make more informed business decisions. Further, the introduction of big data analytics in transportation industry has increased the efficiency of data management and predictive modeling.
This report aims to provide a comprehensive presentation of the global market for Big Data Analytics 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 Big Data Analytics in Transportation.
Report Scope
The Big Data Analytics 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 Big Data Analytics 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 Big Data Analytics 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
Qlik Technologies
IBM
Hewlett Packard Enterprise
Microsoft
Amazon
SAP SE
Teradata
Cloudera
Tableau
iTechArt
Talend
CHA Consulting
MongoDB
Datapine
Smartbi
FineBI
Segment by Type
Software
Service
Segment by Application
Highway
Railway
Water Transport
Air Transport
Others
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 Big Data Analytics 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data Analytics in Transportation Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Software
1.2.3 Service
1.3 Market by Application
1.3.1 Global Big Data Analytics in Transportation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Highway
1.3.3 Railway
1.3.4 Water Transport
1.3.5 Air Transport
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data Analytics in Transportation Market Perspective (2019-2030)
2.2 Big Data Analytics in Transportation Growth Trends by Region
2.2.1 Global Big Data Analytics in Transportation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data Analytics in Transportation Historic Market Size by Region (2019-2024)
2.2.3 Big Data Analytics in Transportation Forecasted Market Size by Region (2025-2030)
2.3 Big Data Analytics in Transportation Market Dynamics
2.3.1 Big Data Analytics in Transportation Industry Trends
2.3.2 Big Data Analytics in Transportation Market Drivers
2.3.3 Big Data Analytics in Transportation Market Challenges
2.3.4 Big Data Analytics in Transportation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data Analytics in Transportation Players by Revenue
3.1.1 Global Top Big Data Analytics in Transportation Players by Revenue (2019-2024)
3.1.2 Global Big Data Analytics in Transportation Revenue Market Share by Players (2019-2024)
3.2 Global Big Data Analytics in Transportation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data Analytics in Transportation Revenue
3.4 Global Big Data Analytics in Transportation Market Concentration Ratio
3.4.1 Global Big Data Analytics in Transportation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Transportation Revenue in 2023
3.5 Big Data Analytics in Transportation Key Players Head office and Area Served
3.6 Key Players Big Data Analytics in Transportation Product Solution and Service
3.7 Date of Enter into Big Data Analytics in Transportation Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data Analytics in Transportation Breakdown Data by Type
4.1 Global Big Data Analytics in Transportation Historic Market Size by Type (2019-2024)
4.2 Global Big Data Analytics in Transportation Forecasted Market Size by Type (2025-2030)
5 Big Data Analytics in Transportation Breakdown Data by Application
5.1 Global Big Data Analytics in Transportation Historic Market Size by Application (2019-2024)
5.2 Global Big Data Analytics in Transportation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data Analytics in Transportation Market Size (2019-2030)
6.2 North America Big Data Analytics in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data Analytics in Transportation Market Size by Country (2019-2024)
6.4 North America Big Data Analytics in Transportation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data Analytics in Transportation Market Size (2019-2030)
7.2 Europe Big Data Analytics in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data Analytics in Transportation Market Size by Country (2019-2024)
7.4 Europe Big Data Analytics 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 Big Data Analytics in Transportation Market Size (2019-2030)
8.2 Asia-Pacific Big Data Analytics in Transportation Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data Analytics in Transportation Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data Analytics 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 Big Data Analytics in Transportation Market Size (2019-2030)
9.2 Latin America Big Data Analytics in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data Analytics in Transportation Market Size by Country (2019-2024)
9.4 Latin America Big Data Analytics in Transportation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data Analytics in Transportation Market Size (2019-2030)
10.2 Middle East & Africa Big Data Analytics in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data Analytics in Transportation Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data Analytics in Transportation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Qlik Technologies
11.1.1 Qlik Technologies Company Detail
11.1.2 Qlik Technologies Business Overview
11.1.3 Qlik Technologies Big Data Analytics in Transportation Introduction
11.1.4 Qlik Technologies Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.1.5 Qlik Technologies Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Big Data Analytics in Transportation Introduction
11.2.4 IBM Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Hewlett Packard Enterprise
11.3.1 Hewlett Packard Enterprise Company Detail
11.3.2 Hewlett Packard Enterprise Business Overview
11.3.3 Hewlett Packard Enterprise Big Data Analytics in Transportation Introduction
11.3.4 Hewlett Packard Enterprise Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.3.5 Hewlett Packard Enterprise Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Big Data Analytics in Transportation Introduction
11.4.4 Microsoft Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 Amazon
11.5.1 Amazon Company Detail
11.5.2 Amazon Business Overview
11.5.3 Amazon Big Data Analytics in Transportation Introduction
11.5.4 Amazon Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.5.5 Amazon Recent Development
11.6 SAP SE
11.6.1 SAP SE Company Detail
11.6.2 SAP SE Business Overview
11.6.3 SAP SE Big Data Analytics in Transportation Introduction
11.6.4 SAP SE Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.6.5 SAP SE Recent Development
11.7 Teradata
11.7.1 Teradata Company Detail
11.7.2 Teradata Business Overview
11.7.3 Teradata Big Data Analytics in Transportation Introduction
11.7.4 Teradata Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.7.5 Teradata Recent Development
11.8 Cloudera
11.8.1 Cloudera Company Detail
11.8.2 Cloudera Business Overview
11.8.3 Cloudera Big Data Analytics in Transportation Introduction
11.8.4 Cloudera Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.8.5 Cloudera Recent Development
11.9 Tableau
11.9.1 Tableau Company Detail
11.9.2 Tableau Business Overview
11.9.3 Tableau Big Data Analytics in Transportation Introduction
11.9.4 Tableau Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.9.5 Tableau Recent Development
11.10 iTechArt
11.10.1 iTechArt Company Detail
11.10.2 iTechArt Business Overview
11.10.3 iTechArt Big Data Analytics in Transportation Introduction
11.10.4 iTechArt Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.10.5 iTechArt Recent Development
11.11 Talend
11.11.1 Talend Company Detail
11.11.2 Talend Business Overview
11.11.3 Talend Big Data Analytics in Transportation Introduction
11.11.4 Talend Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.11.5 Talend Recent Development
11.12 CHA Consulting
11.12.1 CHA Consulting Company Detail
11.12.2 CHA Consulting Business Overview
11.12.3 CHA Consulting Big Data Analytics in Transportation Introduction
11.12.4 CHA Consulting Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.12.5 CHA Consulting Recent Development
11.13 MongoDB
11.13.1 MongoDB Company Detail
11.13.2 MongoDB Business Overview
11.13.3 MongoDB Big Data Analytics in Transportation Introduction
11.13.4 MongoDB Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.13.5 MongoDB Recent Development
11.14 Datapine
11.14.1 Datapine Company Detail
11.14.2 Datapine Business Overview
11.14.3 Datapine Big Data Analytics in Transportation Introduction
11.14.4 Datapine Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.14.5 Datapine Recent Development
11.15 Smartbi
11.15.1 Smartbi Company Detail
11.15.2 Smartbi Business Overview
11.15.3 Smartbi Big Data Analytics in Transportation Introduction
11.15.4 Smartbi Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.15.5 Smartbi Recent Development
11.16 FineBI
11.16.1 FineBI Company Detail
11.16.2 FineBI Business Overview
11.16.3 FineBI Big Data Analytics in Transportation Introduction
11.16.4 FineBI Revenue in Big Data Analytics in Transportation Business (2019-2024)
11.16.5 FineBI 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
Published By : QY Research
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