Market Overview:
The global transportation predictive analytics market is expected to grow at a CAGR of 10.8% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for predictive analytics in transportation sector and rising need for real-time information. The on-premise segment is expected to dominate the market during the forecast period owing to its advantages such as low cost and better security features as compared to cloud-based solutions. However, the cloud-based segment is projected to grow at a higher CAGR during the forecast period, owing to its advantages such as scalability, flexibility, and lower cost.
Product Definition:
Transportation Predictive Analytics is the application of predictive models and machine learning algorithms to transportation data in order to identify patterns and predict future outcomes. The importance of Transportation Predictive Analytics lies in its ability to help transportation agencies make informed decisions about where, when, and how to invest their resources in order to improve traffic flow, reduce congestion, and optimize operations.
On-Premise:
On-premise is a term used for applications or software that are installed and run from the end user's own system, typically in an organization's data center. The application can be a predictive analytics solution, which uses historical information to forecast future trends. On-premise solutions do not require an internet connection; however, they can make use of cloud computing services when needed.
Cloud-based:
Cloud-based solutions are software and services that are hosted on the cloud. The data is stored remotely on multiple servers which enables Transportation Predictive Analytic (TPA) vendors to analyze the data without any restrictions of space and time. Cloud-based TPA offers benefits such as scalability, flexibility, cost efficiency along with reduced maintenance & development costs; these factors have increased its acceptance among various end users over the past few years.
Application Insights:
The roadways application segment accounted for the largest revenue share in 2016 and is projected to continue leading over the forecast period. The growing need for real-time decisions on spending on roads, railways, and waterways has led to an increased usage of transportation predictive analytics. This has resulted in a significant growth of around 35% over the past few years.
Airways application segment is expected to witness considerable growth during the forecast period owing to increasing demand for air transportation services particularly across emerging countries such as China, India, Thailand Vietnam Indonesia etc. Predictive models are used by airlines so that they can make better decisions about capacity expansion or reduction based on historical data collected from various sources such as weather systems & airport conditions traffic patterns etc.
Regional Analysis:
North America accounted for the largest revenue share in 2017. The region is expected to maintain its lead over the forecast period owing to early adoption of technologies and high spending capacity of users. Asia Pacific is estimated to be the fastest-growing regional market from 2018 to 2030 due primarily off increasing investments in infrastructure development coupled with rising air passenger traffic.
The European market was valued at USD X million in 2017 and is anticipated to witness steady growth over the forecast period owing mainly off growing demand for predictive analytics solutions that can help streamline operations and optimize expenditure across various sectors including aviation, railways, waterways & ports among others. Moreover, initiatives taken by governments such as “Digital Europe†program are aimed at promoting e-commerce activities across Europe thereby driving demand for freight transportation predictive analytics solutions within this region.
Growth Factors:
- Increasing demand for transportation due to globalization and urbanization
- Emergence of new transportation modes such as ride-sharing and autonomous vehicles
- Proliferation of data sources including GPS, traffic, weather, and social media
- Advances in machine learning and artificial intelligence technologies
- Growing focus on safety and efficiency in transportation systems
Scope Of The Report
Report Attributes
Report Details
Report Title
Transportation Predictive Analytics Market Research Report
By Type
On-Premise, Cloud-based
By Application
Roadways, Railways, Airways, Seaways
By Companies
IBM, Xerox, SAP, Space-Time Insight, Predikto, TSS-Transport Simulation Systems, Caliper Corporation, Tiger Analyticsand, T-Systems, Cyient
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
155
Number of Tables & Figures
109
Customization Available
Yes, the report can be customized as per your need.
Global Transportation Predictive Analytics Market Report Segments:
The global Transportation Predictive Analytics market is segmented on the basis of:
Types
On-Premise, Cloud-based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Roadways, Railways, Airways, Seaways
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Xerox
- SAP
- Space-Time Insight
- Predikto
- TSS-Transport Simulation Systems
- Caliper Corporation
- Tiger Analyticsand
- T-Systems
- Cyient
Highlights of The Transportation Predictive Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premise
- Cloud-based
- By Application:
- Roadways
- Railways
- Airways
- Seaways
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Transportation Predictive Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Transportation predictive analytics is a field of data science that uses algorithms to predict future transportation needs. Predictive models can be used to identify patterns in past transportation demand, and then use that information to forecast future trends. This allows planners and policymakers to make informed decisions about how best to allocate resources for transportation infrastructure, services, and policies.
Some of the major players in the transportation predictive analytics market are IBM, Xerox, SAP, Space-Time Insight, Predikto, TSS-Transport Simulation Systems, Caliper Corporation, Tiger Analyticsand, T-Systems, Cyient.
The transportation predictive analytics market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Transportation Predictive Analytics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Transportation Predictive Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Transportation Predictive Analytics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Transportation Predictive Analytics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Transportation Predictive Analytics Market Size & Forecast, 2018-2028
4.5.1 Transportation Predictive Analytics Market Size and Y-o-Y Growth
4.5.2 Transportation Predictive Analytics Market Absolute $ Opportunity
Chapter 5 Global Transportation Predictive Analytics Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Transportation Predictive Analytics Market Size Forecast by Type
5.2.1 On-Premise
5.2.2 Cloud-based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Transportation Predictive Analytics Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Transportation Predictive Analytics Market Size Forecast by Applications
6.2.1 Roadways
6.2.2 Railways
6.2.3 Airways
6.2.4 Seaways
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Transportation Predictive Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Transportation Predictive Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Transportation Predictive Analytics Analysis and Forecast
9.1 Introduction
9.2 North America Transportation Predictive Analytics Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Transportation Predictive Analytics Market Size Forecast by Type
9.6.1 On-Premise
9.6.2 Cloud-based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Transportation Predictive Analytics Market Size Forecast by Applications
9.10.1 Roadways
9.10.2 Railways
9.10.3 Airways
9.10.4 Seaways
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Transportation Predictive Analytics Analysis and Forecast
10.1 Introduction
10.2 Europe Transportation Predictive Analytics Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Transportation Predictive Analytics Market Size Forecast by Type
10.6.1 On-Premise
10.6.2 Cloud-based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Transportation Predictive Analytics Market Size Forecast by Applications
10.10.1 Roadways
10.10.2 Railways
10.10.3 Airways
10.10.4 Seaways
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Transportation Predictive Analytics Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Transportation Predictive Analytics Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Transportation Predictive Analytics Market Size Forecast by Type
11.6.1 On-Premise
11.6.2 Cloud-based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Transportation Predictive Analytics Market Size Forecast by Applications
11.10.1 Roadways
11.10.2 Railways
11.10.3 Airways
11.10.4 Seaways
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Transportation Predictive Analytics Analysis and Forecast
12.1 Introduction
12.2 Latin America Transportation Predictive Analytics Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Transportation Predictive Analytics Market Size Forecast by Type
12.6.1 On-Premise
12.6.2 Cloud-based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Transportation Predictive Analytics Market Size Forecast by Applications
12.10.1 Roadways
12.10.2 Railways
12.10.3 Airways
12.10.4 Seaways
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Transportation Predictive Analytics Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Transportation Predictive Analytics Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Transportation Predictive Analytics Market Size Forecast by Type
13.6.1 On-Premise
13.6.2 Cloud-based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Transportation Predictive Analytics Market Size Forecast by Applications
13.10.1 Roadways
13.10.2 Railways
13.10.3 Airways
13.10.4 Seaways
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Transportation Predictive Analytics Market: Competitive Dashboard
14.2 Global Transportation Predictive Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Xerox
14.3.3 SAP
14.3.4 Space-Time Insight
14.3.5 Predikto
14.3.6 TSS-Transport Simulation Systems
14.3.7 Caliper Corporation
14.3.8 Tiger Analyticsand
14.3.9 T-Systems
14.3.10 Cyient
