지능형 교통 분석 시장 : 시장 예측 - 솔루션별, 데이터 소스별, 전개 모드별, 운송 모드별, 최종 사용자별, 지역별 분석(-2032년)

According to Stratistics MRC, the Global Intelligent Transportation Analytics Market is accounted for $24.3 billion in 2025 and is expected to reach $101.7 billion by 2032 growing at a CAGR of 19.6% during the forecast period. Intelligent Transportation Analytics (ITA) applies advanced data analytics, AI, and IoT technologies to monitor, model, and optimize transportation systems. It processes data from roadways, railways, airways, and maritime networks to improve traffic flow, incident detection, passenger movement, and infrastructure planning. ITA supports smart city initiatives, enhances safety, reduces congestion, and enables predictive mobility solutions. By transforming raw transport data into actionable insights, ITA drives efficiency and sustainability in urban and regional mobility.

Market Dynamics:

Driver:

Rising demand for traffic optimization

Rising demand for traffic optimization is a key driver for the Intelligent Transportation Analytics market, driven by increasing urban congestion and vehicle density. Transportation authorities are leveraging advanced analytics to improve traffic flow, reduce travel time, and lower emissions. Fueled by the need for data-driven mobility planning, intelligent analytics platforms support real-time decision-making and predictive traffic management. These solutions enhance road utilization efficiency and improve commuter experiences, accelerating adoption across metropolitan and rapidly urbanizing regions.

Restraint:

Limited data accuracy in real-time

Limited data accuracy in real time acts as a major restraint for market growth. Intelligent transportation analytics rely on high-quality data from sensors, cameras, and connected vehicles, which can be affected by technical faults or environmental conditions. Influenced by inconsistent data streams and latency issues, analytics outputs may be compromised. This reduces confidence among traffic authorities and planners, slowing large-scale implementation. Ensuring reliable, accurate real-time data remains a critical challenge for solution providers.

Opportunity:

Smart city transportation initiatives

Smart city transportation initiatives present a strong opportunity for the Intelligent Transportation Analytics market. Governments worldwide are investing in digital infrastructure to enable intelligent mobility solutions. Propelled by urban sustainability goals and public safety requirements, smart city programs integrate traffic analytics with IoT, AI, and cloud platforms. These initiatives create long-term demand for advanced analytics to manage multimodal transportation networks, optimize infrastructure usage, and enhance overall urban mobility efficiency.

Threat:

Public concerns over data surveillance

Public concerns over data surveillance pose a significant threat to market expansion. Intelligent transportation analytics often involve collection of vehicle and commuter data, raising privacy and data protection issues. Fueled by increased awareness of surveillance risks, public resistance may influence regulatory constraints. Stricter data governance requirements can increase compliance costs and limit data accessibility. These concerns may slow adoption, particularly in regions with strong privacy regulations and heightened public sensitivity to data usage.

Covid-19 Impact:

The COVID-19 pandemic temporarily disrupted the Intelligent Transportation Analytics market due to reduced traffic volumes and delayed infrastructure projects. Lockdowns lowered immediate demand for traffic optimization solutions. However, post-pandemic recovery emphasized resilient and adaptive transportation systems. Motivated by the need to manage fluctuating mobility patterns, cities accelerated investments in analytics-driven traffic management. This shift supported long-term market growth, despite short-term declines during peak pandemic periods.

The traffic monitoring segment is expected to be the largest during the forecast period

The traffic monitoring segment is expected to account for the largest market share during the forecast period, resulting from its foundational role in intelligent transportation systems. Traffic monitoring solutions provide continuous data on vehicle flow, congestion levels, and incident detection. Driven by widespread deployment of cameras and sensors, this segment supports real-time analytics and predictive modeling. Its essential function in traffic management and infrastructure planning reinforces dominant market positioning.

The sensor-based data segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the sensor-based data segment is predicted to witness the highest growth rate, propelled by advancements in IoT and connected infrastructure. Sensors enable precise, real-time data collection across roads, intersections, and vehicles. Spurred by falling sensor costs and improved accuracy, adoption is expanding rapidly. Sensor-based data enhances analytics quality and supports advanced use cases such as adaptive signal control, driving strong CAGR within this segment.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid urbanization and large-scale smart city investments. Countries such as China, India, and Japan are implementing intelligent transportation systems to address congestion challenges. Supported by government funding and high population density, the region represents a major demand hub. Expanding digital infrastructure further strengthens Asia Pacific's leadership in intelligent transportation analytics adoption.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with advanced technology adoption and strong smart mobility initiatives. The presence of leading analytics providers and early deployment of connected vehicle technologies drive growth. Fueled by investments in AI, cloud platforms, and traffic management modernization, demand continues to rise. Regulatory support for smart transportation further accelerates market expansion across North America.

Key players in the market

Some of the key players in Intelligent Transportation Analytics Market include IBM Corporation, Siemens Mobility, Cubic Corporation, Kapsch TrafficCom AG, INRIX, Inc., TomTom N.V., Iteris, Inc., Hitachi, Ltd., Huawei Technologies Co., Ltd., Thales Group, NEC Corporation, SAP SE, Oracle Corporation, Cisco Systems, Inc., Alteryx, Inc. and Trimble Inc.

Key Developments:

In November 2025, Cubic introduced integrated analytics for fare collection and transit operations, combining passenger flow data with predictive algorithms to enhance efficiency, reduce bottlenecks, and improve service reliability in public transport systems.

In October 2025, IBM expanded its AI-powered transportation analytics suite, integrating predictive traffic modeling and multimodal optimization, enabling cities to reduce congestion, improve safety, and enhance sustainability in urban mobility networks.

In September 2025, Siemens Mobility launched advanced analytics platforms for smart rail and road systems, leveraging IoT sensors and AI to optimize traffic flow, reduce delays, and improve passenger experience in metropolitan areas.

Solutions Covered:

• Traffic Monitoring Analytics
• Incident Detection Analytics
• Predictive Traffic Modeling
• Passenger Flow Analytics

Data Sources Covered:

• Sensor-Based Data (LIDAR, RADAR, Cameras)
• GPS & Telematics Data
• Mobile & App-Based Data
• Traffic Signal & Infrastructure Data
• Social Media & Crowdsourced Data

Deployments Covered:

• On-Premise
• Cloud-Based

Mode Of Transports Covered:

• Roadways
• Railways
• Airways
• Maritime

End Users Covered:

• Government & Municipal Authorities
• Transportation Agencies
• Logistics & Fleet Operators
• Public Transit Operators
• Airport & Port Authorities
• Smart City Planners & Administrators

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 End User Analysis
• 3.7 Emerging Markets
• 3.8 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Intelligent Transportation Analytics Market, By Solution

• 5.1 Introduction
• 5.2 Traffic Monitoring Analytics
• 5.3 Incident Detection Analytics
• 5.4 Predictive Traffic Modeling
• 5.5 Passenger Flow Analytics

6 Global Intelligent Transportation Analytics Market, By Data Source

• 6.1 Introduction
• 6.2 Sensor-Based Data (LIDAR, RADAR, Cameras)
• 6.3 GPS & Telematics Data
• 6.4 Mobile & App-Based Data
• 6.6 Traffic Signal & Infrastructure Data
• 6.6 Social Media & Crowdsourced Data

7 Global Intelligent Transportation Analytics Market, By Deployment

• 7.1 Introduction
• 7.2 On-Premise
• 7.3 Cloud-Based

8 Global Intelligent Transportation Analytics Market, By Mode Of Transport

• 8.1 Introduction
• 8.2 Roadways
• 8.3 Railways
• 8.4 Airways
• 8.5 Maritime

9 Global Intelligent Transportation Analytics Market, By End User

• 9.1 Introduction
• 9.2 Government & Municipal Authorities
• 9.3 Transportation Agencies
• 9.4 Logistics & Fleet Operators
• 9.5 Public Transit Operators
• 9.6 Airport & Port Authorities
• 9.7 Smart City Planners & Administrators

10 Global Intelligent Transportation Analytics Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 IBM Corporation
• 12.2 Siemens Mobility
• 12.3 Cubic Corporation
• 12.4 Kapsch TrafficCom AG
• 12.5 INRIX, Inc.
• 12.6 TomTom N.V.
• 12.7 Iteris, Inc.
• 12.8 Hitachi, Ltd.
• 12.9 Huawei Technologies Co., Ltd.
• 12.10 Thales Group
• 12.11 NEC Corporation
• 12.12 SAP SE
• 12.13 Oracle Corporation
• 12.14 Cisco Systems, Inc.
• 12.15 Alteryx, Inc.
• 12.16 Trimble Inc.