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Big Data Analytics in Transportation-Global Market Insights and Sales Trends 2025
Synopsis
The global Big Data Analytics in Transportation market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Big Data Analytics in Transportation in various end use industries. The expanding demands from the Highway, Railway, Water Transport and Air Transport, are propelling Big Data Analytics in Transportation market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Service segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data Analytics in Transportation, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data Analytics in Transportation market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data Analytics in Transportation market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data Analytics in Transportation sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data Analytics in Transportation covered in this report include Qlik Technologies, IBM, Hewlett Packard Enterprise, Microsoft, Amazon, SAP SE, Teradata, Cloudera and Tableau, etc.
The global Big Data Analytics in Transportation market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Qlik Technologies
IBM
Hewlett Packard Enterprise
Microsoft
Amazon
SAP SE
Teradata
Cloudera
Tableau
iTechArt
Talend
CHA Consulting
MongoDB
Datapine
Smartbi
FineBI
Global Big Data Analytics in Transportation market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data Analytics in Transportation market, Segment by Type:
Software
Service
Global Big Data Analytics in Transportation market, by Application
Highway
Railway
Water Transport
Air Transport
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Big Data Analytics in Transportation companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
The global Big Data Analytics in Transportation market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Big Data Analytics in Transportation in various end use industries. The expanding demands from the Highway, Railway, Water Transport and Air Transport, are propelling Big Data Analytics in Transportation market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Service segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data Analytics in Transportation, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data Analytics in Transportation market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data Analytics in Transportation market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data Analytics in Transportation sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data Analytics in Transportation covered in this report include Qlik Technologies, IBM, Hewlett Packard Enterprise, Microsoft, Amazon, SAP SE, Teradata, Cloudera and Tableau, etc.
The global Big Data Analytics in Transportation market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Qlik Technologies
IBM
Hewlett Packard Enterprise
Microsoft
Amazon
SAP SE
Teradata
Cloudera
Tableau
iTechArt
Talend
CHA Consulting
MongoDB
Datapine
Smartbi
FineBI
Global Big Data Analytics in Transportation market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data Analytics in Transportation market, Segment by Type:
Software
Service
Global Big Data Analytics in Transportation market, by Application
Highway
Railway
Water Transport
Air Transport
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Big Data Analytics in Transportation companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Big Data Analytics in Transportation
1.1 Big Data Analytics in Transportation Market Overview
1.1.1 Big Data Analytics in Transportation Product Scope
1.1.2 Big Data Analytics in Transportation Market Status and Outlook
1.2 Global Big Data Analytics in Transportation Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Big Data Analytics in Transportation Market Size by Region (2018-2029)
1.4 Global Big Data Analytics in Transportation Historic Market Size by Region (2018-2023)
1.5 Global Big Data Analytics in Transportation Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Big Data Analytics in Transportation Market Size (2018-2029)
1.6.1 North America Big Data Analytics in Transportation Market Size (2018-2029)
1.6.2 Europe Big Data Analytics in Transportation Market Size (2018-2029)
1.6.3 Asia-Pacific Big Data Analytics in Transportation Market Size (2018-2029)
1.6.4 Latin America Big Data Analytics in Transportation Market Size (2018-2029)
1.6.5 Middle East & Africa Big Data Analytics in Transportation Market Size (2018-2029)
2 Big Data Analytics in Transportation Market by Type
2.1 Introduction
2.1.1 Software
2.1.2 Service
2.2 Global Big Data Analytics in Transportation Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Big Data Analytics in Transportation Historic Market Size by Type (2018-2023)
2.2.2 Global Big Data Analytics in Transportation Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Big Data Analytics in Transportation Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Big Data Analytics in Transportation Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Big Data Analytics in Transportation Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Big Data Analytics in Transportation Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Big Data Analytics in Transportation Revenue Breakdown by Type (2018-2029)
3 Big Data Analytics in Transportation Market Overview by Application
3.1 Introduction
3.1.1 Highway
3.1.2 Railway
3.1.3 Water Transport
3.1.4 Air Transport
3.1.5 Others
3.2 Global Big Data Analytics in Transportation Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Big Data Analytics in Transportation Historic Market Size by Application (2018-2023)
3.2.2 Global Big Data Analytics in Transportation Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Big Data Analytics in Transportation Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Big Data Analytics in Transportation Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Big Data Analytics in Transportation Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Big Data Analytics in Transportation Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Big Data Analytics in Transportation Revenue Breakdown by Application (2018-2029)
4 Big Data Analytics in Transportation Competition Analysis by Players
4.1 Global Big Data Analytics in Transportation Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Big Data Analytics in Transportation as of 2022)
4.3 Date of Key Players Enter into Big Data Analytics in Transportation Market
4.4 Global Top Players Big Data Analytics in Transportation Headquarters and Area Served
4.5 Key Players Big Data Analytics in Transportation Product Solution and Service
4.6 Competitive Status
4.6.1 Big Data Analytics in Transportation Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Qlik Technologies
5.1.1 Qlik Technologies Profile
5.1.2 Qlik Technologies Main Business
5.1.3 Qlik Technologies Big Data Analytics in Transportation Products, Services and Solutions
5.1.4 Qlik Technologies Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.1.5 Qlik Technologies Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM Big Data Analytics in Transportation Products, Services and Solutions
5.2.4 IBM Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Hewlett Packard Enterprise
5.3.1 Hewlett Packard Enterprise Profile
5.3.2 Hewlett Packard Enterprise Main Business
5.3.3 Hewlett Packard Enterprise Big Data Analytics in Transportation Products, Services and Solutions
5.3.4 Hewlett Packard Enterprise Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.3.5 Microsoft Recent Developments
5.4 Microsoft
5.4.1 Microsoft Profile
5.4.2 Microsoft Main Business
5.4.3 Microsoft Big Data Analytics in Transportation Products, Services and Solutions
5.4.4 Microsoft Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.4.5 Microsoft Recent Developments
5.5 Amazon
5.5.1 Amazon Profile
5.5.2 Amazon Main Business
5.5.3 Amazon Big Data Analytics in Transportation Products, Services and Solutions
5.5.4 Amazon Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.5.5 Amazon Recent Developments
5.6 SAP SE
5.6.1 SAP SE Profile
5.6.2 SAP SE Main Business
5.6.3 SAP SE Big Data Analytics in Transportation Products, Services and Solutions
5.6.4 SAP SE Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.6.5 SAP SE Recent Developments
5.7 Teradata
5.7.1 Teradata Profile
5.7.2 Teradata Main Business
5.7.3 Teradata Big Data Analytics in Transportation Products, Services and Solutions
5.7.4 Teradata Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.7.5 Teradata Recent Developments
5.8 Cloudera
5.8.1 Cloudera Profile
5.8.2 Cloudera Main Business
5.8.3 Cloudera Big Data Analytics in Transportation Products, Services and Solutions
5.8.4 Cloudera Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.8.5 Cloudera Recent Developments
5.9 Tableau
5.9.1 Tableau Profile
5.9.2 Tableau Main Business
5.9.3 Tableau Big Data Analytics in Transportation Products, Services and Solutions
5.9.4 Tableau Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.9.5 Tableau Recent Developments
5.10 iTechArt
5.10.1 iTechArt Profile
5.10.2 iTechArt Main Business
5.10.3 iTechArt Big Data Analytics in Transportation Products, Services and Solutions
5.10.4 iTechArt Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.10.5 iTechArt Recent Developments
5.11 Talend
5.11.1 Talend Profile
5.11.2 Talend Main Business
5.11.3 Talend Big Data Analytics in Transportation Products, Services and Solutions
5.11.4 Talend Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.11.5 Talend Recent Developments
5.12 CHA Consulting
5.12.1 CHA Consulting Profile
5.12.2 CHA Consulting Main Business
5.12.3 CHA Consulting Big Data Analytics in Transportation Products, Services and Solutions
5.12.4 CHA Consulting Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.12.5 CHA Consulting Recent Developments
5.13 MongoDB
5.13.1 MongoDB Profile
5.13.2 MongoDB Main Business
5.13.3 MongoDB Big Data Analytics in Transportation Products, Services and Solutions
5.13.4 MongoDB Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.13.5 MongoDB Recent Developments
5.14 Datapine
5.14.1 Datapine Profile
5.14.2 Datapine Main Business
5.14.3 Datapine Big Data Analytics in Transportation Products, Services and Solutions
5.14.4 Datapine Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.14.5 Datapine Recent Developments
5.15 Smartbi
5.15.1 Smartbi Profile
5.15.2 Smartbi Main Business
5.15.3 Smartbi Big Data Analytics in Transportation Products, Services and Solutions
5.15.4 Smartbi Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.15.5 Smartbi Recent Developments
5.16 FineBI
5.16.1 FineBI Profile
5.16.2 FineBI Main Business
5.16.3 FineBI Big Data Analytics in Transportation Products, Services and Solutions
5.16.4 FineBI Big Data Analytics in Transportation Revenue (US$ Million) & (2018-2023)
5.16.5 FineBI Recent Developments
6 North America
6.1 North America Big Data Analytics in Transportation Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Big Data Analytics in Transportation Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Big Data Analytics in Transportation Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Big Data Analytics in Transportation Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Big Data Analytics in Transportation Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Big Data Analytics in Transportation Market Dynamics
11.1 Big Data Analytics in Transportation Industry Trends
11.2 Big Data Analytics in Transportation Market Drivers
11.3 Big Data Analytics in Transportation Market Challenges
11.4 Big Data Analytics in Transportation Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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