Automotive Intelligent Tires Market Size 2025, Emerging Trends, In-Depth Analysis, Demand Drivers, and Forecast Insights

QY Research has recently published a research report titled, "Global Automotive Intelligent Tires Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031", assessing various factors impacting its trajectory. The research study offers deep evaluation of the global Automotive Intelligent Tires market and helps market participants to gain a strong foothold in the industry. It sheds light on critical market dynamics such as drivers, restraints, trends, and opportunities to help businesses prepare for any challenges ahead in time. It provides regional analysis of the global Automotive Intelligent Tires market to unveil key opportunities available in different parts of the world. The competitive landscape is broadly assessed along with company profiling of leading players operating in the global Automotive Intelligent Tires market. The report provides detailed statistics and accurate market figures, viz. market share, CAGR, gross margin, and those related to revenue, production, consumption, and sales.

The global market for Automotive Intelligent Tires was estimated to be worth US$ 599 million in 2024 and is forecast to a readjusted size of US$ 925 million by 2031 with a CAGR of 6.4% during the forecast period 2025-2031.

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The potential shifts in the 2025 U.S. tariff framework pose substantial volatility risks to global markets. This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on Automotive Intelligent Tires cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.

Global Regional Landscape

From a regional perspective, the Asia-Pacific region is currently the world's most important market and production base, contributing over 60% of global incremental demand. This growth is primarily driven by the region's massive vehicle production and rapid urbanization in emerging markets such as India and Southeast Asia. The European and North American markets are driven more by stringent environmental regulations (such as Europe's carbon tariff requiring the use of recycled rubber to reach 30% by 2030) and the shift toward electric vehicles.

Industry Chain and Competitive Landscape

Upstream: This primarily includes sensor chip suppliers (such as NXP Semiconductors), tire pressure monitoring system (TPMS) solution providers (such as Schrader TPMS Solutions), and new material developers (such as graphene composites). Downstream: Smart tires primarily target original equipment manufacturers (OEMs) for pre-installed and aftermarket applications. Typical customers include owners of various passenger and commercial vehicles. Large logistics fleets, with their strong demand for tire asset management and reduced total operating costs, are a highly valuable customer segment for smart tires. Technological Trends and Innovations

First, deep integration and networking: Future smart tires will no longer be isolated information islands, but will be deeply integrated into the integrated "vehicle-road-cloud" system. For example, Pirelli's Cyber ​​Tire not only uses collected data for the vehicle's own electronic stability program but also enables communication with other vehicles and infrastructure through V2X technology. Second, specialization and material innovation: With the increasing popularity of electric vehicles, demand for specialized tires with low rolling resistance, high load capacity, and quiet operation has surged, driving the research and application of new materials. Self-healing technologies and graphene composites are also beginning to penetrate mid- to high-end models. Third, data-driven service models: The vast amount of data generated by smart tires is giving rise to new business models such as "Tire-as-a-Service." This is particularly true in fleet management, enabling predictive maintenance and significantly increasing equipment uptime.

Policy Support and Industry Standards

Policies and standards are important drivers of industry standardization. For example, China's Ministry of Industry and Information Technology and other departments have issued policy documents supporting the application of technologies such as digital twins and industrial internet platforms in the tire industry, and are actively promoting the development of intelligent manufacturing standards for the industry. In the European Union, heavy-duty commercial vehicles manufactured starting in 2024 will be required to be equipped with tire pressure monitoring systems. These policies and regulations have created a favorable environment for the research and development and large-scale deployment of smart tires.

Future Challenges and Outlook

Despite their promising prospects, the development of smart tires still faces challenges such as cost, sensor durability in harsh environments, and uneven support for digital infrastructure across different regions.

Leading players of the global Automotive Intelligent Tires market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global Automotive Intelligent Tires market.

Key Players Mentioned in the Global Automotive Intelligent Tires Market Research Report:

Michelin
Continental Tires
Goodyear
Bridgestone
Pirelli
Hankook Tire & Technology
Linglong Tire
Cheng Shin Tyre
ZC Rubber
Double Coin
Guizhou Tyre
Sumitomo Rubber
Giti Tire
Yokohama
Aeolus Tyre

Market Segments

Our market analysts are experts in deeply segmenting the global Automotive Intelligent Tires market and thoroughly evaluating the growth potential of each and every segment studied in the report. Right at the beginning of the research study, the segments are compared on the basis of consumption and growth rate for a review period of nine years. The segmentation study included in the report offers a brilliant analysis of the global Automotive Intelligent Tires market, taking into consideration the market potential of different segments studied. It assists market participants to focus on high-growth areas of the global Automotive Intelligent Tires market and plan powerful business tactics to secure a position of strength in the industry.

Details of Automotive Intelligent Tires Market Segmentation: -

Segment by Type:

Passenger Vehicles Tires
Commercial Vehicles Tires

Segment by Application:

Passenger Vehicles
Commercial Vehicles

All of the segments studied in the research study are analyzed on the basis of BPS, market share, revenue, and other important factors. Our research study shows how different segments are contributing to the growth of the global Automotive Intelligent Tires market. It also provides information on key trends related to the segments included in the report. This helps market players to concentrate on high-growth areas of the global Automotive Intelligent Tires market. The research study also offers separate analysis on the segments on the basis of absolute dollar opportunity.

Segment by Region

North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

How can the research study help your business?

(1) The information presented in the Automotive Intelligent Tires report helps your decision makers to become prudent and make the best business choices.

(2) The report enables you to see the future of the global Automotive Intelligent Tires market and accordingly take decisions that will be in the best interest of your business.

(3) It offers you a forward-looking perspective of the global Automotive Intelligent Tires market drivers and how you can secure significant market gains in the near future.

(4) It provides SWOT analysis of the global Automotive Intelligent Tires market along with useful graphics and detailed statistics providing quick information about the market's overall progress throughout the forecast period.

(5) It also assesses the changing competitive dynamics of the global Automotive Intelligent Tires market using pin-point evaluation.

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Table of Contents

1 Market Overview
1.1 Automotive Intelligent Tires Product Introduction
1.2 Global Automotive Intelligent Tires Market Size Forecast
1.2.1 Global Automotive Intelligent Tires Sales Value (2020-2031)
1.2.2 Global Automotive Intelligent Tires Sales Volume (2020-2031)
1.2.3 Global Automotive Intelligent Tires Sales Price (2020-2031)
1.3 Automotive Intelligent Tires Market Trends & Drivers
1.3.1 Automotive Intelligent Tires Industry Trends
1.3.2 Automotive Intelligent Tires Market Drivers & Opportunity
1.3.3 Automotive Intelligent Tires Market Challenges
1.3.4 Automotive Intelligent Tires Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Automotive Intelligent Tires Players Revenue Ranking (2024)
2.2 Global Automotive Intelligent Tires Revenue by Company (2020-2025)
2.3 Global Automotive Intelligent Tires Players Sales Volume Ranking (2024)
2.4 Global Automotive Intelligent Tires Sales Volume by Company Players (2020-2025)
2.5 Global Automotive Intelligent Tires Average Price by Company (2020-2025)
2.6 Key Manufacturers Automotive Intelligent Tires Manufacturing Base and Headquarters
2.7 Key Manufacturers Automotive Intelligent Tires Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of Automotive Intelligent Tires
2.9 Automotive Intelligent Tires Market Competitive Analysis
2.9.1 Automotive Intelligent Tires Market Concentration Rate (2020-2025)
2.9.2 Global 5 and 10 Largest Manufacturers by Automotive Intelligent Tires Revenue in 2024
2.9.3 Global Top Manufacturers by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Automotive Intelligent Tires as of 2024)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Passenger Vehicles Tires
3.1.2 Commercial Vehicles Tires
3.2 Global Automotive Intelligent Tires Sales Value by Type
3.2.1 Global Automotive Intelligent Tires Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Automotive Intelligent Tires Sales Value, by Type (2020-2031)
3.2.3 Global Automotive Intelligent Tires Sales Value, by Type (%) (2020-2031)
3.3 Global Automotive Intelligent Tires Sales Volume by Type
3.3.1 Global Automotive Intelligent Tires Sales Volume by Type (2020 VS 2024 VS 2031)
3.3.2 Global Automotive Intelligent Tires Sales Volume, by Type (2020-2031)
3.3.3 Global Automotive Intelligent Tires Sales Volume, by Type (%) (2020-2031)
3.4 Global Automotive Intelligent Tires Average Price by Type (2020-2031)
4 Segmentation by Technology
4.1 Introduction by Technology
4.1.1 Built-in Sensor
4.1.2 External Sensor
4.1.3 Radio Frequency Identification (RFID)
4.2 Global Automotive Intelligent Tires Sales Value by Technology
4.2.1 Global Automotive Intelligent Tires Sales Value by Technology (2020 VS 2024 VS 2031)
4.2.2 Global Automotive Intelligent Tires Sales Value, by Technology (2020-2031)
4.2.3 Global Automotive Intelligent Tires Sales Value, by Technology (%) (2020-2031)
4.3 Global Automotive Intelligent Tires Sales Volume by Technology
4.3.1 Global Automotive Intelligent Tires Sales Volume by Technology (2020 VS 2024 VS 2031)
4.3.2 Global Automotive Intelligent Tires Sales Volume, by Technology (2020-2031)
4.3.3 Global Automotive Intelligent Tires Sales Volume, by Technology (%) (2020-2031)
4.4 Global Automotive Intelligent Tires Average Price by Technology (2020-2031)
5 Segmentation by Market
5.1 Introduction by Market
5.1.1 OEM Market
5.1.2 Aftermarket
5.2 Global Automotive Intelligent Tires Sales Value by Market
5.2.1 Global Automotive Intelligent Tires Sales Value by Market (2020 VS 2024 VS 2031)
5.2.2 Global Automotive Intelligent Tires Sales Value, by Market (2020-2031)
5.2.3 Global Automotive Intelligent Tires Sales Value, by Market (%) (2020-2031)
5.3 Global Automotive Intelligent Tires Sales Volume by Market
5.3.1 Global Automotive Intelligent Tires Sales Volume by Market (2020 VS 2024 VS 2031)
5.3.2 Global Automotive Intelligent Tires Sales Volume, by Market (2020-2031)
5.3.3 Global Automotive Intelligent Tires Sales Volume, by Market (%) (2020-2031)
5.4 Global Automotive Intelligent Tires Average Price by Market (2020-2031)
6 Segmentation by Application
6.1 Introduction by Application
6.1.1 Passenger Vehicles
6.1.2 Commercial Vehicles
6.2 Global Automotive Intelligent Tires Sales Value by Application
6.2.1 Global Automotive Intelligent Tires Sales Value by Application (2020 VS 2024 VS 2031)
6.2.2 Global Automotive Intelligent Tires Sales Value, by Application (2020-2031)
6.2.3 Global Automotive Intelligent Tires Sales Value, by Application (%) (2020-2031)
6.3 Global Automotive Intelligent Tires Sales Volume by Application
6.3.1 Global Automotive Intelligent Tires Sales Volume by Application (2020 VS 2024 VS 2031)
6.3.2 Global Automotive Intelligent Tires Sales Volume, by Application (2020-2031)
6.3.3 Global Automotive Intelligent Tires Sales Volume, by Application (%) (2020-2031)
6.4 Global Automotive Intelligent Tires Average Price by Application (2020-2031)
7 Segmentation by Region
7.1 Global Automotive Intelligent Tires Sales Value by Region
7.1.1 Global Automotive Intelligent Tires Sales Value by Region: 2020 VS 2024 VS 2031
7.1.2 Global Automotive Intelligent Tires Sales Value by Region (2020-2025)
7.1.3 Global Automotive Intelligent Tires Sales Value by Region (2026-2031)
7.1.4 Global Automotive Intelligent Tires Sales Value by Region (%), (2020-2031)
7.2 Global Automotive Intelligent Tires Sales Volume by Region
7.2.1 Global Automotive Intelligent Tires Sales Volume by Region: 2020 VS 2024 VS 2031
7.2.2 Global Automotive Intelligent Tires Sales Volume by Region (2020-2025)
7.2.3 Global Automotive Intelligent Tires Sales Volume by Region (2026-2031)
7.2.4 Global Automotive Intelligent Tires Sales Volume by Region (%), (2020-2031)
7.3 Global Automotive Intelligent Tires Average Price by Region (2020-2031)
7.4 North America
7.4.1 North America Automotive Intelligent Tires Sales Value, 2020-2031
7.4.2 North America Automotive Intelligent Tires Sales Value by Country (%), 2024 VS 2031
7.5 Europe
7.5.1 Europe Automotive Intelligent Tires Sales Value, 2020-2031
7.5.2 Europe Automotive Intelligent Tires Sales Value by Country (%), 2024 VS 2031
7.6 Asia Pacific
7.6.1 Asia Pacific Automotive Intelligent Tires Sales Value, 2020-2031
7.6.2 Asia Pacific Automotive Intelligent Tires Sales Value by Region (%), 2024 VS 2031
7.7 South America
7.7.1 South America Automotive Intelligent Tires Sales Value, 2020-2031
7.7.2 South America Automotive Intelligent Tires Sales Value by Country (%), 2024 VS 2031
7.8 Middle East & Africa
7.8.1 Middle East & Africa Automotive Intelligent Tires Sales Value, 2020-2031
7.8.2 Middle East & Africa Automotive Intelligent Tires Sales Value by Country (%), 2024 VS 2031
8 Segmentation by Key Countries/Regions
8.1 Key Countries/Regions Automotive Intelligent Tires Sales Value Growth Trends, 2020 VS 2024 VS 2031
8.2 Key Countries/Regions Automotive Intelligent Tires Sales Value and Sales Volume
8.2.1 Key Countries/Regions Automotive Intelligent Tires Sales Value, 2020-2031
8.2.2 Key Countries/Regions Automotive Intelligent Tires Sales Volume, 2020-2031
8.3 United States
8.3.1 United States Automotive Intelligent Tires Sales Value, 2020-2031
8.3.2 United States Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.3.3 United States Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.4 Europe
8.4.1 Europe Automotive Intelligent Tires Sales Value, 2020-2031
8.4.2 Europe Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.4.3 Europe Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.5 China
8.5.1 China Automotive Intelligent Tires Sales Value, 2020-2031
8.5.2 China Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.5.3 China Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.6 Japan
8.6.1 Japan Automotive Intelligent Tires Sales Value, 2020-2031
8.6.2 Japan Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.6.3 Japan Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.7 South Korea
8.7.1 South Korea Automotive Intelligent Tires Sales Value, 2020-2031
8.7.2 South Korea Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.7.3 South Korea Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.8 Southeast Asia
8.8.1 Southeast Asia Automotive Intelligent Tires Sales Value, 2020-2031
8.8.2 Southeast Asia Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.8.3 Southeast Asia Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
8.9 India
8.9.1 India Automotive Intelligent Tires Sales Value, 2020-2031
8.9.2 India Automotive Intelligent Tires Sales Value by Type (%), 2024 VS 2031
8.9.3 India Automotive Intelligent Tires Sales Value by Application, 2024 VS 2031
9 Company Profiles
9.1 Michelin
9.1.1 Michelin Company Information
9.1.2 Michelin Introduction and Business Overview
9.1.3 Michelin Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.1.4 Michelin Automotive Intelligent Tires Product Offerings
9.1.5 Michelin Recent Development
9.2 Continental Tires
9.2.1 Continental Tires Company Information
9.2.2 Continental Tires Introduction and Business Overview
9.2.3 Continental Tires Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.2.4 Continental Tires Automotive Intelligent Tires Product Offerings
9.2.5 Continental Tires Recent Development
9.3 Goodyear
9.3.1 Goodyear Company Information
9.3.2 Goodyear Introduction and Business Overview
9.3.3 Goodyear Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.3.4 Goodyear Automotive Intelligent Tires Product Offerings
9.3.5 Goodyear Recent Development
9.4 Bridgestone
9.4.1 Bridgestone Company Information
9.4.2 Bridgestone Introduction and Business Overview
9.4.3 Bridgestone Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.4.4 Bridgestone Automotive Intelligent Tires Product Offerings
9.4.5 Bridgestone Recent Development
9.5 Pirelli
9.5.1 Pirelli Company Information
9.5.2 Pirelli Introduction and Business Overview
9.5.3 Pirelli Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.5.4 Pirelli Automotive Intelligent Tires Product Offerings
9.5.5 Pirelli Recent Development
9.6 Hankook Tire & Technology
9.6.1 Hankook Tire & Technology Company Information
9.6.2 Hankook Tire & Technology Introduction and Business Overview
9.6.3 Hankook Tire & Technology Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.6.4 Hankook Tire & Technology Automotive Intelligent Tires Product Offerings
9.6.5 Hankook Tire & Technology Recent Development
9.7 Linglong Tire
9.7.1 Linglong Tire Company Information
9.7.2 Linglong Tire Introduction and Business Overview
9.7.3 Linglong Tire Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.7.4 Linglong Tire Automotive Intelligent Tires Product Offerings
9.7.5 Linglong Tire Recent Development
9.8 Cheng Shin Tyre
9.8.1 Cheng Shin Tyre Company Information
9.8.2 Cheng Shin Tyre Introduction and Business Overview
9.8.3 Cheng Shin Tyre Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.8.4 Cheng Shin Tyre Automotive Intelligent Tires Product Offerings
9.8.5 Cheng Shin Tyre Recent Development
9.9 ZC Rubber
9.9.1 ZC Rubber Company Information
9.9.2 ZC Rubber Introduction and Business Overview
9.9.3 ZC Rubber Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.9.4 ZC Rubber Automotive Intelligent Tires Product Offerings
9.9.5 ZC Rubber Recent Development
9.10 Double Coin
9.10.1 Double Coin Company Information
9.10.2 Double Coin Introduction and Business Overview
9.10.3 Double Coin Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.10.4 Double Coin Automotive Intelligent Tires Product Offerings
9.10.5 Double Coin Recent Development
9.11 Guizhou Tyre
9.11.1 Guizhou Tyre Company Information
9.11.2 Guizhou Tyre Introduction and Business Overview
9.11.3 Guizhou Tyre Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.11.4 Guizhou Tyre Automotive Intelligent Tires Product Offerings
9.11.5 Guizhou Tyre Recent Development
9.12 Sumitomo Rubber
9.12.1 Sumitomo Rubber Company Information
9.12.2 Sumitomo Rubber Introduction and Business Overview
9.12.3 Sumitomo Rubber Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.12.4 Sumitomo Rubber Automotive Intelligent Tires Product Offerings
9.12.5 Sumitomo Rubber Recent Development
9.13 Giti Tire
9.13.1 Giti Tire Company Information
9.13.2 Giti Tire Introduction and Business Overview
9.13.3 Giti Tire Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.13.4 Giti Tire Automotive Intelligent Tires Product Offerings
9.13.5 Giti Tire Recent Development
9.14 Yokohama
9.14.1 Yokohama Company Information
9.14.2 Yokohama Introduction and Business Overview
9.14.3 Yokohama Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.14.4 Yokohama Automotive Intelligent Tires Product Offerings
9.14.5 Yokohama Recent Development
9.15 Aeolus Tyre
9.15.1 Aeolus Tyre Company Information
9.15.2 Aeolus Tyre Introduction and Business Overview
9.15.3 Aeolus Tyre Automotive Intelligent Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.15.4 Aeolus Tyre Automotive Intelligent Tires Product Offerings
9.15.5 Aeolus Tyre Recent Development
10 Industry Chain Analysis
10.1 Automotive Intelligent Tires Industrial Chain
10.2 Automotive Intelligent Tires Upstream Analysis
10.2.1 Key Raw Materials
10.2.2 Raw Materials Key Suppliers
10.2.3 Manufacturing Cost Structure
10.3 Midstream Analysis
10.4 Downstream Analysis (Customers Analysis)
10.5 Sales Model and Sales Channels
10.5.1 Automotive Intelligent Tires Sales Model
10.5.2 Sales Channel
10.5.3 Automotive Intelligent Tires Distributors
11 Research Findings and Conclusion
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.1.1 Research Programs/Design
12.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
12.1.2 Data Source
12.1.2.1 Secondary Sources
12.1.2.2 Primary Sources
12.2 Author Details
12.3 Disclaimer

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