Transportation Predictive Analytics Market Research Report- Forecast 2032

Transportation Predictive Analytics Market Research Report: Information By Component (Hardware, Software), By Transport Type (Roadway, Railway, Aviation, Maritime), By End-User (Public Enterprises, Private Enterprises), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032.

ID: MRFR/ICT/1985-HCR | 100 Pages | Author: Ankit Gupta | March 2024         

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Transportation Predictive Analytics Market Overview


Transportation Predictive Analytics Market Size was valued at USD 4.7 billion in 2022. The Transportation Predictive Analytics market industry is projected to grow from USD 5.7199 Billion in 2023 to USD 27.52 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 21.70% during the forecast period (2023 - 2032). Broader adoption of worldwide smart transportation projects and advanced traffic management systems (ATMs) are the key market drivers enhancing the market growth.


Transportation Predictive Analytics Market Overview


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Transportation Predictive Analytics Market Trends


Growing awareness is driving the market growth


Market CAGR for Transportation Predictive Analytics supplements is being driven by the rising awareness of smart transportation. Road sensing-enabled smart vehicles and apps are widely employed in verticals such as roads, railroads, seaways, airports, and multimodal transportation. By providing unrestricted and smooth mobility to the expanding population and traffic issues, as well as driving efficiency and quick service, intelligent technologies offer extensive growth opportunities, which may increase demand for transportation analytics systems over the forecast period. It is also anticipated that disruptive technologies, such as enhanced traveler systems, advanced vehicle control systems, and analytics, would increase demand for products in the transportation sector, including roads and trains. The development of electronic access, mobility management, traffic sensors, and displays to effectively monitor the system has increased demand for transportation systems and analytics.


The growth of intelligent automobiles on intelligent roads largely benefits modern infrastructure that automates the management of all control systems, enhances communication, and increases safety. In the upcoming years, decreased traffic and congestion, as well as more traveler knowledge of how to efficiently manage, monitor, and simplify their journey, may benefit the market growth for transportation systems and analytics. Thales Group launched new digital railway solutions to promote greener transportation in March 2021 to enhance passenger convenience and operational effectiveness. To give real-time data on passenger density, the technology based on artificial intelligence video analytics uses the existing CCTV network at stations and within trains.


Increased use of commercial and passenger vehicles has also caused traffic congestion. Using analytics in intelligent transportation systems will assist in redirecting traffic, reducing traffic congestion, and reducing the likelihood of collisions. The data collection and analytics systems now available on the market include vehicle categorization counts, traffic volume counts, parking studies, and travel time and delay studies. Traffic volume and other variables are monitored by city planners to build models that optimize traffic flow and public transit, assuring enhanced connectivity and safety for commuters.


For example, almost 10 billion data points were collected for the Citi Logik and Vodafone collaboration with Transport for London (TfL). These data points were utilized to feed several algorithms that generated travel matrices, including around 1.2 billion journeys. Thus, driving the Transportation Predictive Analytics market revenue.


Transportation Predictive Analytics Market Segment Insights


Transportation Predictive Analytics Component Insights


The Transportation Predictive Analytics market segmentation, based on components, includes hardware and software). The hardware segment dominated the market, accounting for 69% of market revenue. Increased investment in smart connection platforms, rising urbanization, and incorporating advanced technology into current transportation analytics systems will contribute to market expansion. The rising population and increased migration to cities will stimulate demand for transportation infrastructure and traffic analytics.


Transportation Predictive Analytics Transport Type Insights


The Transportation Predictive Analytics market segmentation, based on transport type, includes roadway, railway, aviation, and maritime. The roadway category generated the most income (42%). As a result of rising e-commerce and manufacturing operations, the growing number of commercial fleets worldwide is prompting many logistics companies to install effective asset monitoring and management systems. Companies like GE Capital and AT&T have integrated telematics fleet systems for continuous fleet monitoring and real-time location status, allowing them to arrange trips that save money on maintenance while enhancing driver efficiency. Countries such as the United States, Germany, and India have boosted their investments in intelligent transportation networks and adopted legislation mandating the installation of telematics in numerous vehicle classes. The rising concern for road safety in these nations, which have high accident fatality rates, is driving the Transportation Systems and Analytics industry ahead. Transportation systems and analytics provide several benefits. 


Transportation Predictive Analytics Transport End User Insights


Based on end users, the Transportation Predictive Analytics market segmentation includes public enterprises and private enterprises; the public enterprise segment dominated the market, accounting for 71% of market revenue. The expansion of commercial fleets in tandem with the increasing number of produced products and the rise of the e-commerce industry show no indications of slowing. At this point, an efficient transportation management system has the potential to ease the transportation of raw materials, fuel, equipment, and other items required at manufacturing sites while opening access to remote locations, connecting various production resources, and assisting in the realization of economies of scale.


Figure 1: Transportation Predictive Analytics Market, by End User, 2022 & 2032 (USD billion)


Transportation Predictive Analytics Market, by End User, 2022 & 2032


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Transportation Predictive Analytics Regional Insights


The report divides the market into four regions: Europe, Asia-Pacific, North America, and the Rest of the World. The North American, Transportation Predictive Analytics market, will dominate this market; commercial drone sales in the area are increasing exponentially, with nations such as the United States placing stringent controls on drone pilots and registrations. As a result, substantial demand for ITS systems in the aviation sector is projected throughout the projection period. North America has a great demand for specialized short-range communication devices that prevent traffic bottlenecks in passenger and commercial road vehicles. This supports the region's demand for Transportation Systems and Analytics.


The major countries studied in the market report are Canada, German, France, U.S., the UK, Italy, Spain, China, Australia, Japan, India, South Korea, and Brazil.


Figure 2: TRANSPORTATION PREDICTIVE ANALYTICS MARKET SHARE BY REGION 2022 (%)


TRANSPORTATION PREDICTIVE ANALYTICS MARKET SHARE BY REGION 2022


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Europe's Transportation Predictive Analytics market accounts for the second-largest market share due to increased investment in transportation analytics solutions for enhancing enterprises and consumer experiences; the transportation analytics market in Europe is expected to give attractive development prospects. Further, the German Transportation Predictive Analytics market held the largest market share, and the UK Transportation Predictive Analytics market was the fastest-growing market in the European region.


From 2023 to 2032, the Asia-Pacific Transportation Predictive Analytics Market will develop at the quickest CAGR. The growing urbanization of the region is primarily responsible for the regional market's rise. Furthermore, important automotive firms and investment in the transportation sector are expected to catalyze regional market expansion in the future. Moreover, China's Transportation Predictive Analytics market held the largest market share, and The Indian Transportation Predictive Analytics market was the Asia-Pacific region's fastest-growing market.


Transportation Predictive Analytics Key Market Players & Competitive Insights


Leading market companies are extensively spending on R&D to extend their product lines, which will help the Transportation Predictive Analytics market grow even more. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. The Transportation Predictive Analytics industry must provide cost-effective products to grow and thrive in a more competitive and increasing market environment.


Manufacturing locally to reduce operating costs is one of the most important business strategies manufacturers employ in the Transportation Predictive Analytics industry to serve customers and grow the market. In recent years, the Transportation Predictive Analytics industry has offered some of the most significant advantages. Major players in the Transportation Predictive Analytics market, including Geotab, Siemens, IBM, Gridsmart Technologies Inc, and others, are attempting to increase market demand by investing in research and development operations.


The International Business Machines business (IBM), sometimes known as Big Blue, is a technology business based in Armonk, New York, with operations in over 175 countries. It specializes in computer hardware, middleware, and software, as well as hosting and consulting services spanning from mainframe computers to nanotechnology. In May 2019, IBM collaborated with the Danish transportation and logistics firm Maersk to establish a blockchain-based shipping and supply chain enterprise. The venture's major purpose is commercializing blockchain for all supply chain system areas, from shipping to ports and banking to customs agencies.


Siemens is a German multinational conglomerate and Europe's largest industrial manufacturing firm. Its headquarters are in Munich, and it has several overseas branch offices. The company's primary segments are Digital Industries, Smart Infrastructure, Mobility, Healthcare (named Siemens Healthineers), and Financial Services. In March 2019, Siemens has increased its smart transportation product offering. The new eHighway technology, according to the business, is twice as efficient as conventional internal combustion engines. This Siemens Mobility invention powers vehicles using an overhead contact line.


Key Companies in the Transportation Predictive Analytics market include




  • Microsoft Corporation




  • SAP SE




  • Cubic Corporation




  • Predikto Inc.




  • T-Systems




  • International Business Machines Corporation




  • Space Time Insight, Inc




  • Tiger Analytics




  • Xerox Corporation




  • Cyient Insights




Transportation Predictive Analytics Industry Developments


September 2021: Geotab, a supplier of linked transportation solutions, has announced the launch of a new transportation analytics platform as part of its Intelligent Transportation Systems (ITS) line of business.


January 2020: Sisense and Periscope Data have been integrated. Sisense for cloud data teams is now advertised and offered as a result. The amalgamation of the two companies will help develop a standalone, comprehensive, end-to-end data analytics platform for its clients.


January 2019: Siemens was given a four-year contract by Northern Ireland's Department for Infrastructure (DfI). The contract comprises both maintenance and development of current traffic control systems, the majority of which are based in Belfast.


Transportation Predictive Analytics Market Segmentation


Transportation Predictive Analytics Component Outlook




  • Hardware




  • Software




Transportation Predictive Analytics Transport Type Outlook




  • Roadway




  • Railway




  • Aviation




  • Maritime




Transportation Predictive Analytics Transport End User Outlook




  • Public Enterprises




  • Private Enterprises




Transportation Predictive Analytics Regional Outlook




  • North America



    • US




    • Canada






  • Europe



    • Germany




    • France




    • UK




    • Italy




    • Spain




    • Rest of Europe






  • Asia-Pacific



    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific






  • Rest of the World



    • Middle East




    • Africa




    • Latin America





Report Scope:

Report Attribute/Metric Details
Market Size 2022 USD 4.7 billion
Market Size 2023 USD 5.7199 billion
Market Size 2032 USD 27.52 billion
Compound Annual Growth Rate (CAGR) 21.70% (2023-2032)
Base Year 2022
Market Forecast Period 2023-2032
Historical Data 2019- 2021
Market Forecast Units Value (USD Billion)
Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered Component, Transport Type, End User and Region
Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled Microsoft Corporation (U.S) SAP SE (Germany) Cubic Corporation (U.S.) Predikto Inc. (U.S.) T-Systems (Germany) International Business Machines Corporation (U.S.) Space Time Insight Inc. (U.S.) Tiger Analytics (U.S.) Xerox Corporation (U.S.) Cyient Insights (India)
Key Market Opportunities The transportation predictive analytics market's capacity to support security, safety, dynamic pricing, and cost-saving features opens up a plethora of transportation predictive analytics market chances for market growth.
Key Market Dynamics The transportation predictive analytics industry has emerged at a quick rate in recent years and will reach peak levels in the near future.




Frequently Asked Questions (FAQ) :

The Transportation Predictive Analytics market size was valued at USD 4.7 Billion in 2022.

The market is projected to grow at a CAGR of 21.70% during the forecast period, 2023-2032.

The key players in the market are Microsoft Corporation (U.S) SAP SE (Germany) Cubic Corporation (U.S.) Predikto Inc. (U.S.) T-Systems (Germany).

The solution category dominated the market in 2022.

Key Questions Answered

  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players’ financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
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