India Intelligent Traffic Management System Market Overview,2030

India’s intelligent traffic management system market has rapidly evolved as part of the country’s broader digital and infrastructure modernization, driven by the increasing challenges of congestion, safety, and sustainability in its expanding urban centers. The journey began with early initiatives by the Ministry of Road Transport and Highways (MoRTH) under the National Intelligent Transport System Policy, which aimed to modernize traffic control through automated enforcement, adaptive signals, and data-driven decision platforms. Cities such as Delhi, Bengaluru, and Pune have transitioned from static, timer-based systems to AI-enabled adaptive networks capable of analyzing live vehicle data through radar sensors, inductive loops, and video cameras. The Integrated Traffic Management System (ITMS) in Delhi uses AI and IoT-based analytics to manage 400 intersections via a central control room, incorporating real-time data processing on cloud infrastructure. Bengaluru’s Adaptive Traffic Control Project, implemented by the Karnataka Road Development Corporation, integrates LiDAR detectors and machine learning for congestion prediction. India’s rapid vehicle growth and rising pollution levels have created a strong demand for connected and efficient traffic operations that align with sustainability goals under the Smart Cities Mission. In Mumbai and Hyderabad, smart traffic control centers process big data from IoT devices installed across roads, enabling dynamic signal coordination and automated violation detection. The FASTag system introduced by the National Highways Authority of India (NHAI) represents a major leap in electronic toll collection, connecting over 800 toll plazas through RFID-based digital payment and data transmission networks. With 5G connectivity expanding through Reliance Jio and Bharti Airtel, integration of V2X communication and edge computing is becoming a reality in pilot zones across Gurugram and Ahmedabad. India’s intelligent traffic market is now evolving beyond traffic control transforming into a digital mobility ecosystem built on AI automation, cloud data exchange, and sustainable urban planning.

According to the research report, ""India Intelligence Traffic Management Market Overview, 2030,"" published by Bonafide Research, the India Intelligence Traffic Management market is anticipated to grow at more than 11.30% CAGR from 2025 to 2030. Leading companies such as NEC India, Siemens Mobility, Wipro, Honeywell, and Tata Elxsi are shaping the landscape with integrated control platforms and AI-powered automation. NEC India’s Integrated Command and Control Centers (ICCC) deployed in cities like Surat and Pune manage urban mobility, surveillance, and emergency routing from unified cloud-based hubs. Honeywell’s smart traffic enforcement systems in Mumbai and Chennai utilize AI and computer vision for real-time violation detection and congestion alerts. Wipro and IBM India are supporting Delhi’s Smart Mobility Program through IoT and predictive analytics, while Siemens Mobility provides adaptive signaling systems in Bengaluru and Nagpur. The NHAI’s Highway Traffic Management System (HTMS) leverages fiber-optic networks, GIS mapping, and edge AI sensors to optimize lane management and detect incidents on national expressways like the Delhi-Mumbai Corridor. The Ministry of Housing and Urban Affairs collaborates with the Indian Institute of Technology Madras on digital twin modeling and simulation for predictive traffic control in Tier-1 cities. Hyderabad’s Traffic Data Analytics Center, operated by GVK EMRI, integrates AI-based data from over 1,000 CCTV units for real-time congestion tracking and accident response. Emerging technologies like blockchain are being piloted in Bengaluru for secure vehicle data management, while 5G-based V2X communication trials by Tech Mahindra and STL Technologies enhance coordination between vehicles and signals. Mobility-as-a-Service integration is progressing through platforms such as Chalo and Ola Mobility, enabling dynamic route optimization across public and private transport. Funding from the World Bank and Asian Development Bank (ADB) continues to support ITS development in the Eastern Peripheral Expressway and Ganga Expressway.

In India, intelligent traffic management solutions are being rolled out across major cities and corridors with varying maturity traffic signal control systems dominate the foundational layer many Indian intersections still operate on pre-timed schedules, but controllers are being upgraded with newer vehicle-actuated modules, as described in a report by C-DAC on “Advanced Traffic Signal Control Systems in Indian Cities”. Adaptive traffic control systems are emerging for instance the Bengaluru Adaptive Traffic Control System (BATCS) uses AI to dynamically adjust signal timings across 165 junctions, improving flow by sensing live traffic from cameras and loops. Traffic monitoring and detection systems include sensor networks and video analytics deployed under Smart City programmes that monitor vehicle flows, classify vehicles and detect incidents cities such as Bhubaneswar have adopted CoSiCoSt technology by C-DAC for real-time signal synchronisation and sensor detection. Enforcement camera and ANPR systems are increasingly used for violation detection Indian cities like Chandigarh and other states deploy AI-enabled cameras to detect red-light jumps, overspeeding and wrong-side drives. Integrated corridor and incident management platforms are part of broader smart city control centres where traffic data, CCTV, enforcement feeds and signal data are gathered under one roof for instance the Greater Visakhapatnam Municipal Corporation launched the “Project SARTHI” pilot which integrated ANPR, surveillance, and red-light detection across major junctions. Dynamic message and driver information systems (DMS) are being introduced many urban agencies incorporate variable message signboards and mobile-app based alerts that draw from traffic-monitoring systems to inform drivers of congestion or alternate routes. The combination of these solution types shows how Indian cities are moving from static infrastructure toward integrated and adaptive ITS frameworks.

In India the deployment of intelligent traffic management systems covers a range of distinct environments on urban intersections and arterials, cities like Bengaluru and Chennai are installing adaptive signal technology Chennai has installed 55 adaptive signals on major arterial roads including OMR and Grand Northern Trunk Road where real-time vehicle detection extends green time for heavier flows and shortens it for lighter approaches. On freeways and expressways, Indian corridors such as those managed under the Smart Cities or National Highway schemes incorporate traffic monitoring, variable signage, and detection systems to handle high-speed flows and incident management, though detailed publicly-documented city-specific instances are fewer than for urban roads. Meanwhile tunnels and bridges, given their constrained geometry and safety criticality, are being included in ITS upgrades sensor networks, video detection and control logic are integrated in some major urban bridges and crossing structures though publicly-available case studies in India remain limited. On parking and intermodal hubs including railway station precincts, airport access zones, and transit interchange areas smart parking guidance, ANPR based access, and real-time signage are gaining traction, for instance under Smart City mission projects in cities like Surat which integrate smart parking and traffic-mobility platforms. Thus India’s ITM applications span from busy city junctions and arterial roads, to high-speed corridor links, to specialized infrastructure like bridges/tunnels and multi-modal hubs each domain requiring tailored sensor arrays, control logic, information flows and user-interaction design given India’s complex and diverse mobility context.

In India’s intelligent traffic management ecosystem, three core components hardware, software and services are central Hardware encompasses field-devices such as signal controllers, vehicle detection loops, radar units, surveillance cameras, ANPR systems and variable message signs. For instance, the Bhubaneswar adaptive control project includes road-embedded sensors and detectors linked to signal controllers. Software refers to the platforms, analytics, real-time control systems and dashboards used by traffic authorities Indian initiatives such as the AI-driven systems in Bengaluru (BATCS) leverage algorithms, real-time data and centralized software platforms to optimise flows. Services include installation, system integration, calibration, maintenance, operator training and ongoing analytics support municipalities contract integrators and technology firms to deliver ITS projects under Smart City missions, with services spanning commissioning of signal upgrades, camera installations, calibration of detectors, data-centre operations and traffic-control staff training. Indian reports highlight that while hardware and software uptake is increasing, service ecosystems especially for maintenance and calibration require strengthening. These components form the complete value-chain in India’s ITM market hardware provides data collection and actuation, software turns data into actionable control and insights, and services ensure systems are implemented, optimised and sustained over time in a complex and evolving urban mobility environment.

India’s deployment of intelligent traffic management systems utilises both on-premise and cloud/edge-hosted models and increasingly hybrid architectures On-premise models are frequent where municipal traffic operations centres host signal-control servers, detectors and data-aggregation systems locally many Smart City projects are executed with local data-centres and control rooms to maintain data ownership and low latency response. Cloud/edge-hosted models are gaining traction several Indian cities are adopting AI-based systems that collect sensor data and transmit it to centralized cloud platforms for analytics, while edge devices at intersections handle immediate decisions. For instance, the AI-based adaptive traffic systems in Bengaluru draw on camera and sensor data fed into centralised analytics, while real-time adjustments are made locally at signal controllers. Edge computing is used in scenarios with connectivity or latency constraints local control units handle detection and signal changes, forwarding summary data to regional centres for further aggregation. Hybrid approaches allow real-time signal changes on the edge or local servers, while cloud infrastructure handles broader data fusion, corridor-wide analytics and trend-modelling. India’s deployment model decisions are shaped by factors such as network connectivity, budget constraints, state-level ICT maturity, data-governance policy and interoperability with national standards e.g., AIS-140 for public-vehicle tracking. Indian ITS projects often blend local on-premise control for critical intersections with cloud-based analytics platforms and edge devices to achieve scalable, responsive and cost-effective traffic-management infrastructures.

In India, investing in intelligent traffic management systems involves infrastructure enterprises & public-private partnerships (PPPs), federal and state/provincial governments, and industries/commercial enterprises Infrastructure enterprises & PPPs are active especially where large roadway or corridor contracts include ITS deliverables such as integration of sensors, enforcement cameras and signal systems under Smart City or mobility-scape contracts executed by private integrators. Federal and state governments e.g., the Ministry of Housing & Urban Affairs, Ministry of Road Transport & Highways, and various state urban development and transport departments procure and fund ITS initiatives such as adaptive signals in Bengaluru, AI-signal upgrades in Bhubaneswar, and e-challan/ANPR systems across cities. Industries and commercial enterprises such as large campuses, logistics parks, airports, and smart-street initiatives deploy intelligent traffic solutions internally for parking guidance, curbside access control, ANPR entry/exit monitoring and sometimes collaborate with municipalities on mobility-data platforms. The mix of these spender types shows that India’s ITM market is sustained by public infrastructure investment, private-sector delivery models and enterprise mobility optimisation a blend that drives uptake of hardware, software and service components across city, corridor and intermodal settings.

Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030

Aspects covered in this report
• Intelligent Traffic Management System Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By Solution
• Traffic Signal Control Systems
• Adaptive Traffic Control Systems
• Traffic Monitoring and Detection Systems
• Enforcement Camera and ANPR Systems
• Integrated Corridor and Incident Management Platforms
• Dynamic Message/Driver Information Systems

By End-Use Environment
• Urban Intersections and Arterials
• Freeways and Expressways
• Tunnels and Bridges
• Parking and Intermodal Hubs

By Component
• Hardware
• Software
• Services

By Deployment Model
• On-Premise
• Cloud/Edge-Hosted

By Spender Type
• Infrastructure Enterprises & PPSs
• Federal & Provincial Governments
• Industries & Commercial Enterprises Show more