PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1753468
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1753468
Global Connected Roadside Assistance Solutions Market to Reach US$3.0 Billion by 2030
The global market for Connected Roadside Assistance Solutions estimated at US$2.4 Billion in the year 2024, is expected to reach US$3.0 Billion by 2030, growing at a CAGR of 4.0% over the analysis period 2024-2030. Towing Service, one of the segments analyzed in the report, is expected to record a 3.1% CAGR and reach US$1.1 Billion by the end of the analysis period. Growth in the Battery Jump Service segment is estimated at 3.5% CAGR over the analysis period.
The U.S. Market is Estimated at US$654.2 Million While China is Forecast to Grow at 6.3% CAGR
The Connected Roadside Assistance Solutions market in the U.S. is estimated at US$654.2 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$580.7 Million by the year 2030 trailing a CAGR of 6.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 1.9% and 4.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 2.5% CAGR.
Global Connected Roadside Assistance Solutions Market - Key Trends & Drivers Summarized
How Are Connected Technologies Transforming Traditional Roadside Assistance?
Connected roadside assistance solutions are revolutionizing the way vehicle owners and fleet operators respond to emergencies, breakdowns, and vehicle maintenance needs. Traditionally reliant on call centers and manual dispatch systems, roadside assistance is now being digitized through mobile apps, telematics platforms, and vehicle-integrated connectivity systems. These technologies enable automatic incident detection, GPS-based location sharing, and real-time communication with service providers-dramatically reducing response times and improving the customer experience. Drivers no longer need to make distress calls; instead, vehicle systems can detect faults or collisions and initiate assistance autonomously.
In passenger vehicles, connected roadside assistance is integrated directly into the in-car infotainment or telematics control unit, enabling seamless communication with OEM-branded service networks. For commercial fleets, predictive diagnostics and usage-based monitoring help identify vehicle issues before they escalate into roadside incidents, allowing for proactive dispatching of service vehicles. These capabilities enhance vehicle uptime, reduce the risk of secondary accidents, and offer insurers and fleet managers critical data on vehicle health, driver behavior, and breakdown frequency. The transition from reactive to predictive assistance is a defining shift in how modern mobility services are delivered.
What Innovations Are Enhancing the Efficiency of Emergency Response?
The incorporation of AI and machine learning into connected roadside assistance platforms is significantly improving issue classification, route optimization, and resource allocation. Based on historical data and real-time inputs, AI algorithms can determine the most appropriate service action-whether it’s battery jump-starting, towing, fuel delivery, or on-site diagnostics. Integration with traffic data, weather conditions, and live vehicle telemetry enables smarter dispatching of technicians and faster estimated time of arrival (ETA) calculations. Some platforms also offer digital self-assistance guides and remote troubleshooting via augmented reality or in-app video support, further reducing the dependency on physical interventions.
Mobile applications have become the primary interface for consumers, offering step-by-step assistance tracking, secure payment processing, and feedback collection. Roadside networks are expanding to include third-party technicians, Uber-like mobile mechanics, and gig-based assistance providers, all coordinated through centralized platforms. Insurance companies are also embedding roadside assistance into connected policies, using vehicle data to tailor service offerings and automate claims processing in case of breakdowns or accidents. This multi-stakeholder integration is creating a dynamic, tech-driven ecosystem around roadside support.
What Types of Vehicles and Applications Are Driving Platform Adoption?
Connected roadside assistance is gaining momentum across personal vehicles, commercial fleets, rental cars, and shared mobility platforms. Passenger vehicle OEMs are embedding branded assistance features into infotainment systems and mobile apps, often bundled with navigation and safety services. Electric vehicles (EVs), with their unique vulnerabilities such as battery depletion and charging issues, are also contributing to rising demand for tailored, connected assistance tools. EV-specific solutions now include battery diagnostics, mobile charging support, and geo-located access to nearby charging stations.
In commercial transport, especially long-haul trucking and last-mile delivery fleets, connected assistance ensures minimal disruption to logistics schedules by offering route re-routing, replacement vehicle dispatching, and remote diagnostics. Vehicle rental and car-sharing services use connected roadside platforms to streamline user support, ensure service availability, and handle maintenance events automatically. The widespread adoption of these services in dense urban environments, emerging markets, and cross-border logistics is driving significant expansion in platform capabilities and partnerships with telecom providers, OEMs, and roadside assistance companies.
What Factors Are Fueling Growth in the Connected Roadside Assistance Market?
The growth in the connected roadside assistance solutions market is driven by several factors related to vehicle connectivity, digital mobility platforms, and service personalization. A key driver is the increasing deployment of embedded telematics in both consumer and commercial vehicles, enabling automated fault detection and service activation. The rise of EV adoption, coupled with range anxiety and limited charging infrastructure, is also boosting demand for real-time, connected support systems tailored to electric mobility.
The expansion of fleet telematics and predictive maintenance platforms is another significant growth enabler, especially for logistics providers and ride-sharing companies that prioritize uptime and operational efficiency. In addition, integration with insurance technology ecosystems and usage-based models is creating new opportunities for cross-selling value-added services such as automated roadside coverage and real-time claims support. As digital user expectations rise, the demand for seamless, app-based, and AI-enhanced roadside support experiences is transforming what was once a reactive service into a proactive, intelligent solution embedded in the connected vehicle landscape.
SCOPE OF STUDY:
The report analyzes the Connected Roadside Assistance Solutions market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Service Type (Towing Service, Battery Jump Service, Tire Replacement Service, Fuel Delivery Service); Solution Provider (Auto Manufacturers, Insurance Providers, Independent Contractors); End-Use (Passenger Cars End-Use, Commercial Vehicles End-Use)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Select Competitors (Total 32 Featured) -
AI INTEGRATIONS
We're transforming market and competitive intelligence with validated expert content and AI tools.
Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.
TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.