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Transportation Analytics Market - Global Forecast 2025-2032

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    Report

  • 185 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 4896807
UP TO OFF until Jan 01st 2026
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Strategic adoption of transportation analytics is transforming how organizations enhance operational efficiency, manage risk, and respond to dynamic market changes. Senior leaders leverage these data-driven tools to optimize processes, align with evolving sustainability objectives, and navigate shifting regulatory landscapes.

Market Snapshot: Transportation Analytics Market Size and Growth

The Transportation Analytics Market is expanding rapidly, moving from USD 25.41 billion in 2024 to USD 31.09 billion in 2025, driven by a projected CAGR of 22.71%. Reaching USD 130.71 billion by 2032, the sector demonstrates robust momentum.

As digital transformation accelerates, senior executives encounter complexity from digitalization, intermodal competition, and global supply chain demands. Investments in analytics increasingly support optimization of fleet performance, operational efficiency, and risk mitigation. This prevailing trend positions transportation analytics as core to building integrated, scalable, and sustainable logistics networks globally.

Scope & Segmentation of the Transportation Analytics Market

This report provides in-depth analysis across all relevant segments essential for strategic planning. Senior decision-makers can tailor solutions based on organizational requirements by considering the following dimensions:

  • Transport Modes: Analysis covers air (cargo, passenger, and multiple operational models), rail (freight, passenger, regional, and high-speed services), road (commercial vehicles, fleets, buses, two-wheelers, trucks, vans, cars), and water (inland and seaborne routes including container, bulk, and tanker shipping).
  • Propulsion Types: Includes internal combustion vehicles as well as emerging battery electric and fuel cell platforms. Each propulsion model brings unique data needs for operational tracking and lifecycle analytics.
  • Applications: Focuses on asset and fleet management, predictive maintenance, infrastructure monitoring (such as bridges and roads), freight optimization, and improved passenger mobility using predictive analytics.
  • Technologies: Integrates artificial intelligence, big data, machine learning, deep learning, telematics, and predictive analytics for advanced modeling, pattern recognition, and real-time operational insights.
  • Deployment Types: Offers both cloud-based and on-premises solutions, supporting scalable growth, regulatory compliance, and enhanced data security.
  • Regions: Examines market adoption and emerging trends across Americas, Europe, Middle East & Africa, and Asia-Pacific, with a focus on leading countries such as North America, China, India, Japan, and developments within Latin America and regional markets.

Key Takeaways for Senior Decision-Makers

  • Transportation analytics drives digital transformation, enabling organizations to strengthen asset allocation, build resilient supply chains, and achieve agile mobility within multifaceted markets.
  • Integrating data from IoT sensors and telematics enables real-time monitoring, advancing asset management, enabling data-driven maintenance, and strengthening risk controls across transport operations.
  • AI-driven modeling and scenario forecasting improve compliance, delivery reliability, and enhance customer experiences by optimizing decision-making throughout transport modalities.
  • Adoption of electric and novel propulsion systems requires deeper insight into vehicle lifecycles, energy consumption, and anticipating future infrastructure requirements through predictive analytics.
  • Analytics solutions address complex compliance and supply chain fragmentation by promoting interoperability and flexible platform deployment across diverse regulatory environments.
  • Collaboration with OEMs, technology advisors, and innovative startups strengthens the analytics ecosystem, contributing to measurable gains in efficiency, resilience, and operational transparency.

Tariff Impact: 2025 United States Adjustments

Recent tariff changes in the United States affecting steel, aluminum, and automotive components are prompting a shift in procurement strategy and transport supply chains. Analytics platforms allow companies to model the financial impact of tariffs, manage volatility, and execute regional supplier evaluations. As manufacturing trends toward reshoring and nearshoring, logistics leaders increasingly rely on analytics to monitor cross-border activity and sustain efficient network operations in a changing trade landscape.

Methodology & Data Sources

Analytical insights in this report are built on a combination of qualitative and quantitative research, encompassing interviews with fleet operators, technology vendors, logistics providers, and infrastructure managers. Data verification utilizes regulatory filings and extensive industry datasets, while expert validation and robust normalization ensure accuracy and relevance for present-day market environments.

Why This Report Matters

  • Enables executives to anticipate shifts in mobility, regulatory trends, and innovation, supporting agile strategy development in evolving transport markets.
  • Informs decisions on analytics infrastructure investment and partnerships, advancing operational resilience and helping organizations progress toward sustainability objectives.
  • Delivers practical benchmarks to guide companies through ongoing digital transformation and compliance changes, ensuring adaptability as transportation requirements evolve.

Conclusion

By aligning enterprise strategy with advancements in analytics, compliance, and sustainability, this report equips organizations to foster resilient operations and digital adaptation as the transportation sector continues to evolve.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Real-time multimodal traffic optimization through AI-driven predictive analytics and dynamic pricing
5.2. Integration of IoT sensor data for predictive maintenance and real-time fleet asset tracking
5.3. Adoption of digital twins for urban mobility planning and dynamic congestion management
5.4. Leveraging machine learning for autonomous vehicle route planning and safety analytics
5.5. Implementation of blockchain for secure transportation logistics and transparent cargo provenance
5.6. Use of edge computing for low-latency vehicle to everything communication and route optimization
5.7. Deployment of advanced telematics and driver behavior analytics to improve safety and reduce emissions
5.8. Integration of electric vehicle charging infrastructure analytics for demand forecasting and grid load balancing
5.9. Application of GIS spatial analytics to optimize public transit route planning and ridership forecasting
5.10. AI-powered freight demand forecasting to optimize supply chain efficiency and capacity planning
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Transportation Analytics Market, by Transport Mode
8.1. Air
8.1.1. Cargo Airlines
8.1.1.1. Integrated
8.1.1.2. Non Integrators
8.1.2. Passenger Airlines
8.1.2.1. Full Service
8.1.2.2. Low Cost
8.2. Rail
8.2.1. Freight Services
8.2.1.1. Bulk
8.2.1.2. Intermodal
8.2.2. Passenger Services
8.2.2.1. High Speed
8.2.2.2. Metro
8.2.2.3. Regional
8.3. Road
8.3.1. Commercial Vehicles
8.3.1.1. Trucks
8.3.1.2. Vans
8.3.2. Passenger Vehicles
8.3.2.1. Buses
8.3.2.2. Cars
8.3.2.3. Two Wheelers
8.4. Water
8.4.1. Inland Shipping
8.4.1.1. Lake Transport
8.4.1.2. River Transport
8.4.2. Seaborne Shipping
8.4.2.1. Bulk Carrier
8.4.2.2. Container
8.4.2.3. Tanker
9. Transportation Analytics Market, by Propulsion Type
9.1. Conventional
9.2. Electric
9.2.1. Battery Electric
9.2.2. Fuel Cell Electric
10. Transportation Analytics Market, by Application
10.1. Asset Management
10.1.1. Maintenance Scheduling
10.1.2. Vehicle Health Monitoring
10.2. Freight Management
10.3. Infrastructure Monitoring
10.3.1. Bridge Monitoring
10.3.2. Road Condition Monitoring
10.4. Passenger Mobility
11. Transportation Analytics Market, by Technology
11.1. AI And ML
11.1.1. Deep Learning
11.1.2. Machine Learning
11.2. Big Data Analytics
11.3. Predictive Analytics
11.4. Telematics
12. Transportation Analytics Market, by Deployment Type
12.1. Cloud
12.2. On Premise
13. Transportation Analytics Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Transportation Analytics Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Transportation Analytics Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. International Business Machines Corporation
16.3.2. Oracle Corporation
16.3.3. SAP SE
16.3.4. Microsoft Corporation
16.3.5. SAS Institute Inc.
16.3.6. Cisco Systems, Inc.
16.3.7. Trimble Inc.
16.3.8. TomTom N.V.
16.3.9. HERE Global B.V.
16.3.10. INRIX, Inc.
List of Tables
List of Figures

Samples

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Companies Mentioned

The key companies profiled in this Transportation Analytics market report include:
  • International Business Machines Corporation
  • Oracle Corporation
  • SAP SE
  • Microsoft Corporation
  • SAS Institute Inc.
  • Cisco Systems, Inc.
  • Trimble Inc.
  • TomTom N.V.
  • HERE Global B.V.
  • INRIX, Inc.

Table Information