Transportation Analytics Market Report Scope & Overview:
Transportation Analytics Market was valued at USD 13.07 billion in 2024 and is expected to reach USD 68.72 billion by 2032, growing at a CAGR of 23.14% from 2025-2032.
The Transportation Analytics Market is witnessing rapid growth due to the increasing need for real-time data insights to optimize traffic flow, reduce congestion, and enhance public safety. A GAO survey of 115 U.S. federal agencies (90 responses) found that 45 agencies reported significant improvements in data collection through IoT deployment, while 43 agencies cited improved operational efficiency, and 40 noted increased operational productivity from their IoT use. The widespread adoption of IoT devices, GPS, mobile applications, and connected infrastructure enables vast data generation, driving the demand for advanced analytics.
The U.S. Federal Highway Administration (FHWA) highlights real-time predictive analytics systems deployed in cities like Pittsburgh, Atlanta, and Portland, which coordinate traffic signals and forecast volumes to enhance flow and safety. Government initiatives supporting smart city development and intelligent transportation systems further fuel market expansion. Additionally, the logistics and supply chain sector is leveraging predictive and prescriptive analytics to improve delivery efficiency and route planning. Growing urbanization and the need for sustainable transportation solutions are also key contributors to the market's growth.
U.S. Transportation Analytics Market was valued at USD 3.24 billion in 2024 and is expected to reach USD 16.94 billion by 2032, growing at a CAGR of 22.98% from 2025-2032.
The U.S. Transportation Analytics Market is growing due to rising investments in smart infrastructure, increased adoption of IoT and AI for traffic management, and the demand for real-time data to enhance mobility, reduce congestion, and support sustainable urban development.
Market Dynamics
Drivers
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Rapid urbanization and smart city initiatives are fueling demand for efficient, data-driven transportation systems worldwide.
The rise in urban population has placed immense pressure on existing transportation infrastructure, prompting governments to invest in intelligent solutions. Transportation analytics offers actionable insights that enhance route planning, optimize traffic flow, and reduce congestion. As cities implement smart mobility frameworks, the demand for predictive and real-time analytics tools has surged. These tools help improve commuter experience, safety, and operational efficiency. With the global shift toward sustainability, transportation analytics is also vital in reducing carbon emissions by optimizing vehicle usage and enabling eco-friendly transit strategies across metropolitan regions.
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U.S. City Data Alliance: Six U.S. mid-sized cities Austin, Boston, Dallas, Denver, Kansas City, and Newport News have joined Bloomberg Philanthropies’ USD 60 million City Data Alliance. This initiative equips cities with AI and real-time analytics tools to modernize essential services such as trash collection, infrastructure monitoring, and street detour alerts.
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Galveston, Texas: The city secured nearly USD 2 million in U.S. Department of Transportation (DOT) funding to implement a smart traffic light system that prioritizes emergency vehicles using real-time data part of the DOT’s advanced mobility initiative aimed at improving emergency response and traffic management efficiency.
Restraints
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Data privacy concerns and regulatory challenges hamper widespread adoption of transportation analytics platforms.
Transportation analytics relies heavily on real-time data from individuals, vehicles, and public infrastructure. However, collecting and processing such data raises significant privacy and security concerns. Regulatory frameworks like GDPR impose strict compliance requirements that can delay or block deployment of analytics solutions. Public resistance to data tracking and surveillance, especially without transparent data usage policies, adds to the skepticism. Mismanagement or breaches involving sensitive location or commuter data can erode public trust and invite legal consequences. These complexities create a challenging landscape for developers and governments trying to balance innovation with ethical data governance.
Opportunities
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Expansion of autonomous and electric vehicles is opening new frontiers for advanced analytics deployment.
The growth of autonomous driving and EVs introduces complex data environments requiring robust analytics for real-time navigation, battery performance monitoring, and traffic prediction. Transportation analytics plays a vital role in optimizing EV charging infrastructure, reducing downtime, and managing vehicle-to-everything (V2X) communications. For autonomous fleets, data analytics ensures efficient routing, safety protocol adherence, and machine learning-based decision support. As these vehicle types become more prevalent, the need for scalable and intelligent analytics solutions grows, creating lucrative opportunities for technology providers and transport operators to redefine efficiency and safety standards in modern mobility.
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Aurora Innovation is operating autonomous freight trucks between Dallas and Houston, running mostly at night. These trucks use lidar sensors capable of detecting obstacles over 1,000 feet away. Since May 2025, over 20,000 driverless miles have been completed.
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Waymo has logged over 7 million rider-only autonomous miles across U.S. cities including Phoenix, San Francisco, and Los Angeles. Its crash rate is 80% lower than human drivers per million miles and 55% lower for police-reported incidents.
Challenges
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Fragmented data sources and lack of standardization impede seamless integration of transportation analytics systems.
Transportation networks often comprise multiple agencies, private operators, and legacy systems, each with its own data formats and protocols. The absence of standardized frameworks makes it difficult to aggregate and analyze data across modes such as buses, rail, taxis, and freight. Data silos restrict the ability to generate holistic insights and hinder the development of interoperable analytics platforms. Integration challenges delay deployment timelines and reduce the overall effectiveness of analytics investments. Without a unified data governance model, the full potential of transportation analytics remains underutilized, especially in multi-jurisdictional or cross-border transport ecosystems.
Segment Analysis
By Mode of Transport
Roadways held the highest revenue share of approximately 49% in 2024 due to their extensive use for freight and passenger transport across urban and rural areas. Governments and private entities increasingly adopted analytics tools to reduce congestion, monitor vehicle flow, and improve safety. High dependency on road networks and the availability of real-time traffic data further strengthened analytics implementation across this dominant transportation mode.
Airways are projected to grow at the fastest CAGR of 25.74% from 2025 to 2032, driven by the rising need for advanced analytics in flight optimization, route planning, and safety management. The surge in global air travel, airport automation, and demand for real-time passenger insights has made analytics vital for efficient operations, enabling airlines and airports to optimize capacity, reduce delays, and enhance customer experience.
By Application
Traffic Management accounted for the largest revenue share of about 37% in 2024 due to increasing urban congestion and demand for real-time mobility solutions. Transportation agencies and smart cities are deploying analytics to improve signal timing, monitor congestion, and ensure road safety. The emphasis on reducing travel delays, emissions, and accident rates has made traffic management the most widely adopted application of transportation analytics.
Logistics Management is anticipated to grow at the fastest CAGR of 25.08% from 2025 to 2032, fueled by the e-commerce boom and demand for last-mile delivery optimization. Companies are leveraging analytics to streamline supply chains, predict delays, optimize routes, and reduce operational costs. Real-time visibility and predictive insights are transforming logistics, making data-driven transportation solutions essential for meeting customer expectations and maintaining competitive advantage.
By Type
Descriptive analytics dominated the market with a 42% revenue share in 2024 due to its foundational role in providing historical insights and operational summaries. Widely adopted for its ease of implementation and immediate value, descriptive analytics helps organizations understand patterns in transportation flows, identify inefficiencies, and make data-backed strategic decisions. It remains the first step for enterprises integrating analytics into transport operations.
Prescriptive analytics is expected to grow at the fastest CAGR of 25.22% from 2025 to 2032, driven by rising demand for actionable, scenario-based insights that support real-time decision-making. As transportation systems grow more complex, stakeholders are seeking advanced tools that not only predict future conditions but also recommend optimal actions. Its integration with AI and machine learning further enhances efficiency, cost savings, and responsiveness across mobility networks.
By Deployment
Cloud segment held the largest revenue share of approximately 45% in 2024 due to its scalability, cost-effectiveness, and flexibility in deploying analytics solutions across transportation systems. Cloud-based platforms enable real-time data processing, integration from multiple sources, and seamless updates without the need for heavy on-premise infrastructure. This model supports remote accessibility, making it ideal for managing distributed transportation networks. The increasing adoption of IoT devices and connected mobility solutions has further driven demand for cloud infrastructure, allowing transportation agencies and logistics firms to enhance operational efficiency and improve decision-making with reduced capital expenditure.
Regional Analysis
North America accounted for the highest revenue share of approximately 35% in 2024 due to early adoption of advanced analytics, robust infrastructure, and significant investments in smart transportation systems. The presence of major technology providers and widespread implementation of connected vehicles and IoT solutions has accelerated data-driven decision-making. Supportive government initiatives and high public-private collaboration further strengthened the region's leadership in the transportation analytics landscape.
The United States is dominating the transportation analytics market in North America due to high investments in smart infrastructure and advanced mobility technologies.
Asia Pacific is projected to grow at the fastest CAGR of 25.57% from 2025 to 2032, fueled by rapid urbanization, expanding transportation infrastructure, and increasing digital transformation initiatives. Countries like China, India, and Southeast Asia are heavily investing in smart mobility, real-time traffic monitoring, and logistics optimization. Rising demand for efficient public transit, growing e-commerce, and government support for intelligent transportation systems are driving analytics adoption across the region.
China is dominating the transportation analytics market in Asia Pacific, driven by rapid urbanization, massive infrastructure projects, and strong government support for smart transportation systems.
Europe holds a strong position in the transportation analytics market due to stringent environmental regulations, advanced infrastructure, and increasing investments in smart mobility. The region emphasizes sustainable transport, real-time traffic management, and data-driven decision-making across urban and cross-border networks.
Germany is dominating the transportation analytics market in Europe due to its strong industrial base, advanced automotive sector, and widespread adoption of smart mobility solutions.
The Middle East & Africa and Latin America are emerging markets in transportation analytics, driven by urbanization, infrastructure development, and growing interest in smart mobility. Adoption remains gradual, but rising investments and digital transformation are boosting regional growth prospects.
Key Players
IBM Corporation, Sisense Ltd., Oracle Corporation, Cubic Corporation, INRIX, Cellint, Alteryx, Hitachi, Ltd., SmartDrive Systems, Inc., Omnitracs, Trimble Inc., TomTom International BV, SAP SE, ESRI (Environmental Systems Research Institute), TransCore, Geotab Inc., PTV Group, HERE Technologies, Bentley Systems, Incorporated, Kapsch TrafficCom AG.
Recent Developments:
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2025: Oracle Corporation: Introduced the general availability of Oracle Analytics Server 2025, the evolved on‑premises/cloud analytics platform tailored for integrating transportation analytics via Oracle Transportation Management and Fusion Data Intelligence.
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2025: HERE Technologies & Uber: Announced a long‑term collaboration with Uber to enhance global rideshare and delivery accuracy by integrating HERE’s location services into Uber’s mapping and drop‑off/pick‑up infrastructure
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | USD 13.07 Billion |
| Market Size by 2032 | USD 68.72 Billion |
| CAGR | CAGR of 23.14% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (Descriptive, Predictive, Prescriptive) • By Deployment (On-premise, Cloud, Hybrid) • By Application (Traffic Management, Logistics Management, Planning & Maintenance, Others) • By Mode of Transport (Roadways, Railways, Airways, Waterways) |
| Regional Analysis/Coverage | North America (US, Canada), Europe (Germany, UK, France, Italy, Spain, Russia, Poland, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN Countries, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Mexico, Colombia, Rest of Latin America). |
| Company Profiles | IBM Corporation, Sisense Ltd., Oracle Corporation, Cubic Corporation, INRIX, Cellint, Alteryx, Hitachi, Ltd., SmartDrive Systems, Inc., Omnitracs, Trimble Inc., TomTom International BV, SAP SE, ESRI (Environmental Systems Research Institute), TransCore, Geotab Inc., PTV Group, HERE Technologies, Bentley Systems, Incorporated, Kapsch TrafficCom AG |
Table Of Contents
1. Introduction
1.1 Market Definition & Scope
1.2 Research Assumptions & Abbreviations
1.3 Research Methodology
2. Executive Summary
2.1 Market Snapshot
2.2 Market Absolute $ Opportunity Assessment & Y-o-Y Analysis, 2021–2032
2.3 Market Size & Forecast, By Segmentation, 2021–2032
2.3.1 Market Size By Deployment
2.3.2 Market Size By Application
2.3.3 Market Size By Type
2.3.4 Market Size By Mode of Transport
2.4 Market Share & Bps Analysis By Region, 2024
2.5 Industry Growth Scenarios – Conservative, Likely & Optimistic
2.6 Industry CxO’s Perspective
3. Market Overview
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Key Market Trends
3.2 Industry PESTLE Analysis
3.3 Key Industry Forces (Porter’s) Impacting Market Growth
3.4 Industry Supply Chain Analysis
3.4.1 Raw Material Suppliers
3.4.2 Manufacturers
3.4.3 Distributors/Suppliers
3.4.4 Customers/End-Users
3.5 Industry Life Cycle Assessment
3.6 Parent Market Overview
3.7 Market Risk Assessment
4. Statistical Insights & Trends Reporting
4.1 Data Volume & Processing
4.1.1 Average Data Generated per Day by Transportation Analytics Systems (in TB)
4.1.2 Percentage of Data from IoT, GPS, Traffic Cameras, and Mobile Apps
4.1.3 Real-Time Data Processing Capability (Latency in Seconds)
4.1.4 Cloud vs. On-Premise Analytics Deployment Share (%)
4.1.5 Share of Unstructured vs. Structured Data in Transportation Analytics (%)
4.2 Performance & Efficiency Impact
4.2.1 Reduction in Traffic Congestion due to Analytics (%)
4.2.2 Decrease in Average Commute Time (Before vs. After Analytics)
4.2.3 Average ROI (Return on Investment) for Analytics Deployment (%)
4.2.4 Reduction in Incident Response Time through Predictive Analytics (%)
4.2.5 Energy Savings in Transit Systems Post-Analytics Deployment (%)
4.3 User & Stakeholder Insights
4.3.1 Percentage of Transportation Authorities with Dedicated Analytics Teams
4.3.2 Number of Active Dashboards per Transit System
4.3.3 Surveyed Satisfaction Level Among City Planners/Operators (%)
4.3.4 Percentage of Budget Allocated to Transportation Data Analytics
4.3.5 Stakeholder Preference for Visualization Tools (Heatmaps, Time Series, etc.)
4.4 Technology Usage & Trends
4.4.1 Share of AI-Based Analytics Systems in Use (%)
4.4.2 Predictive vs. Descriptive Analytics Usage Share (%)
4.4.3 Share of Edge Analytics vs. Centralized Processing (%)
4.4.4 Usage Share by Mode: Road, Rail, Air, Maritime (%)
4.4.5 Integration Rate with Other Urban Systems (Parking, Energy, Safety) (%)
4.5 Incident & Safety Impact
4.5.1 Reduction in Road Accidents with Predictive Analytics (%)
4.5.2 Average Time to Detect and Respond to Traffic Incidents (Min)
4.5.3 Number of Incidents Flagged Automatically vs. Manually (%)
4.5.4 Decrease in Emergency Response Time Post-Analytics (%)
4.5.5 Reduction in CO₂ Emissions Due to Optimized Traffic Flow (%)
5. Transportation Analytics Market Segmental Analysis & Forecast, By Deployment, 2021 – 2032, Value (Usd Billion)
5.1 Introduction
5.2 On-premise
5.2.1 Key Trends
5.2.2 Market Size & Forecast, 2021 – 2032
5.3 Cloud
5.3.1 Key Trends
5.3.2 Market Size & Forecast, 2021 – 2032
5.4 Hybrid
5.4.1 Key Trends
5.4.2 Market Size & Forecast, 2021 – 2032
6. Transportation Analytics Market Segmental Analysis & Forecast, By Application, 2021 – 2032, Value (Usd Billion)
6.1 Introduction
6.2 Traffic Management
6.2.1 Key Trends
6.2.2 Market Size & Forecast, 2021 – 2032
6.3 Logistics Management
6.3.1 Key Trends
6.3.2 Market Size & Forecast, 2021 – 2032
6.4 Planning & Maintenance
6.4.1 Key Trends
6.4.2 Market Size & Forecast, 2021 – 2032
6.5 Others
6.5.1 Key Trends
6.5.2 Market Size & Forecast, 2021 – 2032
7. Transportation Analytics Market Segmental Analysis & Forecast, By Type, 2021 – 2032, Value (Usd Billion)
7.1 Introduction
7.2 Descriptive
7.2.1 Key Trends
7.2.2 Market Size & Forecast, 2021 – 2032
7.3 Predictive
7.3.1 Key Trends
7.3.2 Market Size & Forecast, 2021 – 2032
7.4 Prescriptive
7.4.1 Key Trends
7.4.2 Market Size & Forecast, 2021 – 2032
8. Transportation Analytics Market Segmental Analysis & Forecast, By Mode of Transport, 2021 – 2032, Value (Usd Billion)
8.1 Introduction
8.2 Roadways
8.2.1 Key Trends
8.2.2 Market Size & Forecast, 2021 – 2032
8.3 Railways
8.3.1 Key Trends
8.3.2 Market Size & Forecast, 2021 – 2032
8.4 Airways
8.4.1 Key Trends
8.4.2 Market Size & Forecast, 2021 – 2032
8.5 Waterways
8.5.1 Key Trends
8.5.2 Market Size & Forecast, 2021 – 2032
9. Transportation Analytics Market Segmental Analysis & Forecast By Region, 2021 – 2025, Value (Usd Billion)
9.1 Introduction
9.2 North America
9.2.1 Key Trends
9.2.2 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.3 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.4 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.2.5 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.2.6 Transportation Analytics Market Size & Forecast, By Country, 2021 – 2032
9.2.6.1 USA
9.2.6.1.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.6.1.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.6.1.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.2.6.1.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.2.6.2 Canada
9.2.6.2.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.6.2.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.6.2.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.2.6.2.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3 Europe
9.3.1 Key Trends
9.3.2 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.3 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.4 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.5 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6 Transportation Analytics Market Size & Forecast, By Country, 2021 – 2032
9.3.6.1 Germany
9.3.6.1.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.1.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.1.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.1.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.2 UK
9.3.6.2.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.2.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.2.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.2.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.3 France
9.3.6.3.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.3.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.3.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.3.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.4 Italy
9.3.6.4.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.4.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.4.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.4.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.5 Spain
9.3.6.5.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.5.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.5.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.5.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.6 Russia
9.3.6.6.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.6.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.6.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.6.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.7 Poland
9.3.6.7.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.7.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.7.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.7.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.3.6.8 Rest of Europe
9.3.6.8.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.8.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.8.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.3.6.8.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4 Asia-Pacific
9.4.1 Key Trends
9.4.2 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.3 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.4 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.5 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6 Transportation Analytics Market Size & Forecast, By Country, 2021 – 2032
9.4.6.1 China
9.4.6.1.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.1.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.1.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.1.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.2 India
9.4.6.2.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.2.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.2.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.2.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.3 Japan
9.4.6.3.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.3.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.3.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.3.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.4 South Korea
9.4.6.4.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.4.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.4.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.4.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.5 Australia
9.4.6.5.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.5.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.5.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.5.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.6 ASEAN Countries
9.4.6.6.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.6.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.6.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.6.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.4.6.7 Rest of Asia-Pacific
9.4.6.7.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.7.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.7.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.4.6.7.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5 Latin America
9.5.1 Key Trends
9.5.2 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.3 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.4 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.5 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5.6 Transportation Analytics Market Size & Forecast, By Country, 2021 – 2032
9.5.6.1 Brazil
9.5.6.1.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.1.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.1.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.6.1.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5.6.2 Argentina
9.5.6.2.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.2.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.2.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.6.2.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5.6.3 Mexico
9.5.6.3.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.3.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.3.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.6.3.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5.6.4 Colombia
9.5.6.4.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.4.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.4.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.6.4.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.5.6.5 Rest of Latin America
9.5.6.5.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.5.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.5.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.5.6.5.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6 Middle East & Africa
9.6.1 Key Trends
9.6.2 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.3 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.4 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.5 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6 Transportation Analytics Market Size & Forecast, By Country, 2021 – 2032
9.6.6.1 UAE
9.6.6.1.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.1.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.1.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.1.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6.2 Saudi Arabia
9.6.6.2.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.2.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.2.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.2.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6.3 Qatar
9.6.6.3.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.3.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.3.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.3.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6.4 Egypt
9.6.6.4.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.4.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.4.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.4.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6.5 South Africa
9.6.6.5.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.5.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.5.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.5.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
9.6.6.6 Rest of Middle East & Africa
9.6.6.6.1 Transportation Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.6.2 Transportation Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.6.3 Transportation Analytics Market Size & Forecast, By Type, 2021 – 2032
9.6.6.6.4 Transportation Analytics Market Size & Forecast, By Mode of Transport, 2021 – 2032
10. Competitive Landscape
10.1 Key Players' Positioning
10.2 Competitive Developments
10.2.1 Key Strategies Adopted (%), By Key Players, 2024
10.2.2 Year-Wise Strategies & Development, 2021 – 2025
10.2.3 Number Of Strategies Adopted By Key Players, 2024
10.3 Market Share Analysis, 2024
10.4 Product/Service & Application Benchmarking
10.4.1 Product/Service Specifications & Features By Key Players
10.4.2 Product/Service Heatmap By Key Players
10.4.3 Application Heatmap By Key Players
10.5 Industry Start-Up & Innovation Landscape
10.6 Key Company Profiles
10.6 Key Company Profiles
10.6.1 IBM Corporation
10.6.1.1 Company Overview & Snapshot
10.6.1.2 Product/Service Portfolio
10.6.1.3 Key Company Financials
10.6.1.4 SWOT Analysis
10.6.2 Sisense Ltd.
10.6.2.1 Company Overview & Snapshot
10.6.2.2 Product/Service Portfolio
10.6.2.3 Key Company Financials
10.6.2.4 SWOT Analysis
10.6.3 Oracle Corporation
10.6.3.1 Company Overview & Snapshot
10.6.3.2 Product/Service Portfolio
10.6.3.3 Key Company Financials
10.6.3.4 SWOT Analysis
10.6.4 Cubic Corporation
10.6.4.1 Company Overview & Snapshot
10.6.4.2 Product/Service Portfolio
10.6.4.3 Key Company Financials
10.6.4.4 SWOT Analysis
10.6.5 INRIX
10.6.5.1 Company Overview & Snapshot
10.6.5.2 Product/Service Portfolio
10.6.5.3 Key Company Financials
10.6.5.4 SWOT Analysis
10.6.6 Cellint
10.6.6.1 Company Overview & Snapshot
10.6.6.2 Product/Service Portfolio
10.6.6.3 Key Company Financials
10.6.6.4 SWOT Analysis
10.6.7 Alteryx
10.6.7.1 Company Overview & Snapshot
10.6.7.2 Product/Service Portfolio
10.6.7.3 Key Company Financials
10.6.7.4 SWOT Analysis
10.6.8 Hitachi, Ltd.
10.6.8.1 Company Overview & Snapshot
10.6.8.2 Product/Service Portfolio
10.6.8.3 Key Company Financials
10.6.8.4 SWOT Analysis
10.6.9 SmartDrive Systems, Inc.
10.6.9.1 Company Overview & Snapshot
10.6.9.2 Product/Service Portfolio
10.6.9.3 Key Company Financials
10.6.9.4 SWOT Analysis
10.6.10 Omnitracs
10.6.10.1 Company Overview & Snapshot
10.6.10.2 Product/Service Portfolio
10.6.10.3 Key Company Financials
10.6.10.4 SWOT Analysis
10.6.11 Trimble Inc.
10.6.11.1 Company Overview & Snapshot
10.6.11.2 Product/Service Portfolio
10.6.11.3 Key Company Financials
10.6.11.4 SWOT Analysis
10.6.12 TomTom International BV
10.6.12.1 Company Overview & Snapshot
10.6.12.2 Product/Service Portfolio
10.6.12.3 Key Company Financials
10.6.12.4 SWOT Analysis
10.6.13 SAP SE
10.6.13.1 Company Overview & Snapshot
10.6.13.2 Product/Service Portfolio
10.6.13.3 Key Company Financials
10.6.13.4 SWOT Analysis
10.6.14 ESRI (Environmental Systems Research Institute)
10.6.14.1 Company Overview & Snapshot
10.6.14.2 Product/Service Portfolio
10.6.14.3 Key Company Financials
10.6.14.4 SWOT Analysis
10.6.15 TransCore
10.6.15.1 Company Overview & Snapshot
10.6.15.2 Product/Service Portfolio
10.6.15.3 Key Company Financials
10.6.15.4 SWOT Analysis
10.6.16 Geotab Inc.
10.6.16.1 Company Overview & Snapshot
10.6.16.2 Product/Service Portfolio
10.6.16.3 Key Company Financials
10.6.16.4 SWOT Analysis
10.6.17 PTV Group
10.6.17.1 Company Overview & Snapshot
10.6.17.2 Product/Service Portfolio
10.6.17.3 Key Company Financials
10.6.17.4 SWOT Analysis
10.6.18 HERE Technologies
10.6.18.1 Company Overview & Snapshot
10.6.18.2 Product/Service Portfolio
10.6.18.3 Key Company Financials
10.6.18.4 SWOT Analysis
10.6.19 Bentley Systems, Incorporated
10.6.19.1 Company Overview & Snapshot
10.6.19.2 Product/Service Portfolio
10.6.19.3 Key Company Financials
10.6.19.4 SWOT Analysis
10.6.20 Kapsch TrafficCom AG
10.6.20.1 Company Overview & Snapshot
10.6.20.2 Product/Service Portfolio
10.6.20.3 Key Company Financials
10.6.20.4 SWOT Analysis
11. Analyst Recommendations
11.1 SNS Insider Opportunity Map
11.2 Industry Low-Hanging Fruit Assessment
11.3 Market Entry & Growth Strategy
11.4 Analyst Viewpoint & Suggestions On Market Growth
12. Assumptions
13. Disclaimer
14. Appendix
14.1 List Of Tables
14.2 List Of Figures
Key Segments:
By Type
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Descriptive
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Predictive
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Prescriptive
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By Deployment
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On-premise
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Cloud
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Hybrid
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By Application
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Traffic Management
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Logistics Management
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Planning & Maintenance
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Others
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By Mode of Transport
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Roadways
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Railways
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Airways
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Waterways
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
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US
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Canada
Europe
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Germany
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France
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UK
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Italy
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Spain
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Poland
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Russia
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Rest of Europe
Asia Pacific
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China
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India
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Japan
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South Korea
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Australia
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ASEAN Countries
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Rest of Asia Pacific
Middle East & Africa
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UAE
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Saudi Arabia
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Qatar
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South Africa
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Rest of Middle East & Africa
Latin America
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Brazil
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Argentina
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Mexico
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Colombia
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Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
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Detailed Volume Analysis
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Criss-Cross segment analysis (e.g. Product X Application)
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Competitive Product Benchmarking
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Geographic Analysis
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Additional countries in any of the regions
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Customized Data Representation
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Detailed analysis and profiling of additional market players
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
