Global Smart Tire Handling Systems Market to Reach US$ 2.29 Billion by 2031 at 13.1% CAGR, Led by Michelin and Continental

According to the recent report by QYResearch, the global Smart Tire Handling Systems market is on track for robust growth, projected to expand from US$ 969 million in 2024 to US$ 2,292 million by 2031, representing a 13.1% CAGR from 2025 to 2031. This surge is driven by the increasing demand for automation in tire logistics, rising integration with Industry 4.0 manufacturing lines, and growing investment in predictive maintenance and robotics in tire plants worldwide.
Market Overview and Key Players
Smart Tire Handling Systems are integrated solutions combining automated vertical storage, tire sorting, robotic handling, and intelligent conveyor systems. These solutions improve operational efficiency, safety, and inventory management across tire manufacturing and distribution chains.
Leading manufacturers dominate the market, with the top five accounting for a significant global revenue share. Major players include:
• Michelin
• Continental
• Bridgestone
• Goodyear
• ZF Friedrichshafen
• Siemens
• Bosch Rexroth
• Schrader International
• Pirelli
• Trelleborg AB
• Hankook Tire & Technology
• Yokohama Rubber Company
• Sumitomo Rubber Industries
• Toyo Tire Corporation
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Smart Tire Handling Systems - Product Profiles
1. Michelin Connected Fleet - "Smart Predictive Tire"
• Monitors real time tire pressure, temperature, and wear across fleets.
• Provides real time alerts to prevent unexpected failures and optimize replacements.
• Improves fuel economy, lowers CO2 emissions, and extends tire life.
• Combines TPMS data, drive over tread reading (RDR), and telematics with predictive algorithms.
2. Continental TerminalMaster
• Heavy duty industrial tire designed for port tractors, terminal handlers, and trailers.
• S shaped cross ribs for high traction; 30 mm extra deep tread for longevity.
• Closed shoulder design reduces vibration; reinforced sidewalls resist punctures.
• Optimized for driverless industrial vehicles with low rolling resistance.
3. Goodyear SightLine Tire Intelligence Platform
• Integrated suite of sensors detecting tire pressure, temperature, wear, load, and road conditions.
• Friction detection algorithms for rain, ice, and aquaplaning; enhances AEB timing.
• Reduces stopping distance by ~1.75 m compared to ABS alone.
• Available for light cargo fleets, autonomous systems, and OEM integration.
4. Cimcorp TWA Robotic Handling System
• Automated overhead gantry robot for sorting, buffering, palletizing, and order picking of tire wheel assemblies (TWA).
• Supports just in time (JIT) logistics in assembly plants; reduces manual handling.
• Modular overhead design covers large areas; full traceability via integrated MES.
• High performance models optimized with ctrlX Automation for intralogistics.
5. Revvo Technologies - TireIQTM Platform (Revvo Lite)
• AI powered tire monitoring and management platform for fleets and OEMs.
• Aggregates data from sensors to detect leaks, low tread, and predict tire health.
• Up to 50% reduction in tire related issues; ~30% extension in tire and casing life.
• Supports integration via solar/battery gateways, OBDII, J1939, or direct wiring.
Market Segmentation
By Type:
• Automated Vertical Tire Storage Systems
• Automated Tire Sorting Systems
• Tire Handling Robotic Systems
• Intelligent Conveyor Systems
• Others
By Application:
• Tire Manufacturing Plants
• Automobile Assembly Lines
• Warehousing and Logistics Centers
• Tire Distribution and Retail
• Others
Regional Growth and Outlook
Regional analysis shows Asia-Pacific leading growth, driven by China's rapid tire industry expansion and adoption of automated logistics. North America and Europe maintain strong positions due to advanced manufacturing automation and regulatory emphasis on operational safety. South America and the Middle East & Africa are emerging with selective high ROI projects in logistics and industrial hubs.
Latest Trends and Technological Developments
Integration with Industry 4.0: In 2025, smart tire handling systems are deeply converging with smart factory infrastructure, including MES, ERP and intelligent maintenance platforms. Predictive maintenance powered by AI and IIoT is now considered one of the most mature Industry 4.0 applications. These systems automate failure forecasting-with smart tire warehouses and robotic handling lines connected to central MES, maintenance requests are generated automatically, and replacement orders triggered via ERP. This reduces unscheduled downtime by up to 50%, extends equipment life, and synchronizes tire logistics tightly with production schedules. Such fully networked coordination transforms tire handling into a real-time adaptive node within connected manufacturing operations.
Robotic Tire Handling: Companies such as Cimcorp and KUKA AG are deploying high speed gantry robots and modular cell systems specifically for tire‐wheel assembly logistics. Cimcorp's overhead TWA (Tire Wheel Assembly) handling robot supports buffering, sortation, palletizing, and just in time order picking within assembly plants and warehouses. Its modular gantry architecture enables large area coverage and full traceability via MES integration. Globally, the gantry robot market is projected to reach USD 4.1 billion by 2025 (6.0% CAGR), with a significant share attributed to tire handling applications, underscoring growing reliance on automation to reduce human labor and improve safety.
Fleet & Supply Chain Intelligence: Smart tire handling solutions are increasingly designed to interface with fleet telematics and tire health monitoring systems. Platforms such as Goodyear's SightLine and Revvo's TireIQ aggregate data on tire pressure, temperature, wear, load, and road friction conditions. This provides end to end traceability from factory warehousing systems through logistics networks to fleet operations. Real time friction detection-especially in autonomous or light cargo fleets-improves safety and operational predictability by warning of low grip surfaces and linking with vehicle braking systems.
Goodyear's 2025 Innovation-SightLine Tire Intelligence Platform: Launched in early 2025, SightLine integrates embedded sensors and software that detect road friction changes in rain, ice, or aquaplaning, enabling earlier Automatic Emergency Braking (AEB) engagement. Initial testing showed stopping distance reductions of nearly six feet (~1.8 m) compared to conventional ABS systems on low friction surfaces. Operating reliably up to 50 mph, SightLine is aimed at connected and autonomous logistics applications where tire-sensed road conditions feed into safety-critical control decisions.
Green Manufacturing & Energy Efficiency: Sustainability is now a design priority in conveyor and handling system architecture. Energy efficient motors and regenerative drives recover braking energy and return it to the plant grid, with studies showing up to 8% additional energy savings versus traditional drives. Regenerative belt conveyors in tire warehouses can cut transport operational costs by up to 95% compared with haul-truck based systems. Lightweight materials and friction-optimized designs further reduce power use, aligning smart tire handling systems with corporate ESG goals.
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Smart Tire Handling Systems Downstream Customers
Tesla
Toyota Motor Corporation
Volkswagen Group
BMW Group
Daimler Truck AG
Ford Motor Company
General Motors
Hyundai Motor Company
Kia Corporation
Stellantis
Volvo Group
BYD Auto
Rivian Automotive
Lucid Motors
NIO Inc.
Strategic Insights
According to the report, tire manufacturers and logistics companies adopting automated vertical storage and robotic handling systems stand to gain the highest operational ROI between 2025 and 2031. Combined with upstream predictive maintenance and downstream telematics, Smart Tire Handling Systems are transitioning from a niche automation investment to a core component of modern tire production and distribution.

Chapter Outline:

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of the product manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Sales, revenue of the product in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.

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