Global Big Data Analytics in Transportation Market Research Report 2023

Publication ID:

PB502235858

Publication Date:

February 7, 2023

Pages:

100

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

Highlights
The global Big Data Analytics in Transportation market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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 Scope
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.
The Big Data Analytics in Transportation market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. 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 for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
Microsoft
Qlik Technologies
Amazon (AWS)
SAP
Oracle
Splunk
HPE
Teradata
Cloudera
Tableau Software
Micro Focus
Accenture
Informatica
Teradata
Palantir
Cisco
SAS
Segment by Type
Software & Service
Platform
Segment by Application
Highway
Railway
Water Transport
Air Transport
Pipeline
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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鈥� 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 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: 2018 VS 2022 VS 2029
1.2.2 Software & Service
1.2.3 Platform
1.3 Market by Application
1.3.1 Global Big Data Analytics in Transportation Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Highway
1.3.3 Railway
1.3.4 Water Transport
1.3.5 Air Transport
1.3.6 Pipeline
1.3.7 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 (2018-2029)
2.2 Big Data Analytics in Transportation Growth Trends by Region
2.2.1 Global Big Data Analytics in Transportation Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Big Data Analytics in Transportation Historic Market Size by Region (2018-2023)
2.2.3 Big Data Analytics in Transportation Forecasted Market Size by Region (2024-2029)
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 (2018-2023)
3.1.2 Global Big Data Analytics in Transportation Revenue Market Share by Players (2018-2023)
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 2022
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 (2018-2023)
4.2 Global Big Data Analytics in Transportation Forecasted Market Size by Type (2024-2029)
5 Big Data Analytics in Transportation Breakdown Data by Application
5.1 Global Big Data Analytics in Transportation Historic Market Size by Application (2018-2023)
5.2 Global Big Data Analytics in Transportation Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Big Data Analytics in Transportation Market Size (2018-2029)
6.2 North America Big Data Analytics in Transportation Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Big Data Analytics in Transportation Market Size by Country (2018-2023)
6.4 North America Big Data Analytics in Transportation Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data Analytics in Transportation Market Size (2018-2029)
7.2 Europe Big Data Analytics in Transportation Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Big Data Analytics in Transportation Market Size by Country (2018-2023)
7.4 Europe Big Data Analytics in Transportation Market Size by Country (2024-2029)
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 (2018-2029)
8.2 Asia-Pacific Big Data Analytics in Transportation Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Big Data Analytics in Transportation Market Size by Region (2018-2023)
8.4 Asia-Pacific Big Data Analytics in Transportation Market Size by Region (2024-2029)
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 (2018-2029)
9.2 Latin America Big Data Analytics in Transportation Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Big Data Analytics in Transportation Market Size by Country (2018-2023)
9.4 Latin America Big Data Analytics in Transportation Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data Analytics in Transportation Market Size (2018-2029)
10.2 Middle East & Africa Big Data Analytics in Transportation Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Big Data Analytics in Transportation Market Size by Country (2018-2023)
10.4 Middle East & Africa Big Data Analytics in Transportation Market Size by Country (2024-2029)
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 Big Data Analytics in Transportation Introduction
11.1.4 IBM Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Big Data Analytics in Transportation Introduction
11.2.4 Microsoft Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Qlik Technologies
11.3.1 Qlik Technologies Company Detail
11.3.2 Qlik Technologies Business Overview
11.3.3 Qlik Technologies Big Data Analytics in Transportation Introduction
11.3.4 Qlik Technologies Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.3.5 Qlik Technologies Recent Development
11.4 Amazon (AWS)
11.4.1 Amazon (AWS) Company Detail
11.4.2 Amazon (AWS) Business Overview
11.4.3 Amazon (AWS) Big Data Analytics in Transportation Introduction
11.4.4 Amazon (AWS) Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.4.5 Amazon (AWS) Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP Big Data Analytics in Transportation Introduction
11.5.4 SAP Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.5.5 SAP Recent Development
11.6 Oracle
11.6.1 Oracle Company Detail
11.6.2 Oracle Business Overview
11.6.3 Oracle Big Data Analytics in Transportation Introduction
11.6.4 Oracle Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.6.5 Oracle Recent Development
11.7 Splunk
11.7.1 Splunk Company Detail
11.7.2 Splunk Business Overview
11.7.3 Splunk Big Data Analytics in Transportation Introduction
11.7.4 Splunk Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.7.5 Splunk Recent Development
11.8 HPE
11.8.1 HPE Company Detail
11.8.2 HPE Business Overview
11.8.3 HPE Big Data Analytics in Transportation Introduction
11.8.4 HPE Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.8.5 HPE Recent Development
11.9 Teradata
11.9.1 Teradata Company Detail
11.9.2 Teradata Business Overview
11.9.3 Teradata Big Data Analytics in Transportation Introduction
11.9.4 Teradata Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.9.5 Teradata Recent Development
11.10 Cloudera
11.10.1 Cloudera Company Detail
11.10.2 Cloudera Business Overview
11.10.3 Cloudera Big Data Analytics in Transportation Introduction
11.10.4 Cloudera Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.10.5 Cloudera Recent Development
11.11 Tableau Software
11.11.1 Tableau Software Company Detail
11.11.2 Tableau Software Business Overview
11.11.3 Tableau Software Big Data Analytics in Transportation Introduction
11.11.4 Tableau Software Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.11.5 Tableau Software Recent Development
11.12 Micro Focus
11.12.1 Micro Focus Company Detail
11.12.2 Micro Focus Business Overview
11.12.3 Micro Focus Big Data Analytics in Transportation Introduction
11.12.4 Micro Focus Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.12.5 Micro Focus Recent Development
11.13 Accenture
11.13.1 Accenture Company Detail
11.13.2 Accenture Business Overview
11.13.3 Accenture Big Data Analytics in Transportation Introduction
11.13.4 Accenture Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.13.5 Accenture Recent Development
11.14 Informatica
11.14.1 Informatica Company Detail
11.14.2 Informatica Business Overview
11.14.3 Informatica Big Data Analytics in Transportation Introduction
11.14.4 Informatica Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.14.5 Informatica Recent Development
11.15 Teradata
11.15.1 Teradata Company Detail
11.15.2 Teradata Business Overview
11.15.3 Teradata Big Data Analytics in Transportation Introduction
11.15.4 Teradata Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.15.5 Teradata Recent Development
11.16 Palantir
11.16.1 Palantir Company Detail
11.16.2 Palantir Business Overview
11.16.3 Palantir Big Data Analytics in Transportation Introduction
11.16.4 Palantir Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.16.5 Palantir Recent Development
11.17 Cisco
11.17.1 Cisco Company Detail
11.17.2 Cisco Business Overview
11.17.3 Cisco Big Data Analytics in Transportation Introduction
11.17.4 Cisco Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.17.5 Cisco Recent Development
11.18 SAS
11.18.1 SAS Company Detail
11.18.2 SAS Business Overview
11.18.3 SAS Big Data Analytics in Transportation Introduction
11.18.4 SAS Revenue in Big Data Analytics in Transportation Business (2018-2023)
11.18.5 SAS 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

Companies Mentioned:

IBM
Microsoft
Qlik Technologies
Amazon (AWS)
SAP
Oracle
Splunk
HPE
Teradata
Cloudera
Tableau Software
Micro Focus
Accenture
Informatica
Teradata
Palantir
Cisco
SAS

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