AI Tires Market to Reach US$ 679 Million by 2031, Driven by Intelligent Mobility and Connected Vehicle Adoption | QY Research

Market Summary -

The global market for AI Tires was estimated to be worth US$ 446 million in 2024 and is forecast to reach a readjusted size of US$ 679 million by 2031, expanding at a CAGR of 6.2% during the forecast period 2025-2031.

According to QY Research, the newly published report titled "AI Tires Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031" delivers a comprehensive, data-driven assessment of the global AI tires industry. The study is designed to support strategic decision-making for tire manufacturers, automotive OEMs, technology providers, fleet operators, and investors by offering validated market data, competitive intelligence, and forward-looking insights across regions and applications.

Get Full PDF Sample Copy of the Report (Including Full TOC, Tables & Charts):
https://qyresearch.in/request-sample/automobile-transportation-ai-tires-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Trade Policy and Supply Chain Impact -

Potential shifts in the 2025 U.S. tariff framework pose substantial volatility risks to global automotive and mobility-related markets. This report provides a detailed evaluation of recent tariff adjustments and international strategic countermeasures affecting the AI tires industry, with a particular focus on cross-border industrial footprints, capital allocation strategies, regional economic interdependencies, and supply chain restructuring. As AI tires rely on advanced sensors, semiconductors, and software platforms, trade policies and technology regulations play a critical role in shaping production costs and global deployment strategies.

Product Overview and Industry Chain -

AI tires are intelligent tires that integrate sensors, embedded electronics, and artificial intelligence algorithms to monitor tire pressure, temperature, wear, and road conditions in real time. Through continuous data collection and self-learning analysis, AI tires dynamically optimize grip, reduce rolling resistance, issue safety warnings, and enhance overall vehicle performance. These capabilities significantly improve driving safety, energy efficiency, and user experience, particularly in intelligent connected vehicles and autonomous driving scenarios.

The upstream industry chain includes suppliers of chips, sensors, advanced rubber materials, and AI algorithms. The midstream involves integrated manufacturing and cloud platform services, often through close collaboration between traditional tire manufacturers and technology companies. The downstream market spans intelligent connected vehicles, fleet management solutions, and autonomous driving systems, where real-time tire data supports predictive maintenance, safety alerts, and performance optimization.

In 2024, the global average price of AI tires was approximately US$ 310 per tire, with annual sales reaching about 1.4372 million units. Typical annual production capacity ranges from 10,000 to 20,000 units per production line, while the industry's average gross profit margin stands between 30% and 45%, reflecting the high value added by embedded intelligence and data services.

Market Drivers and Development Trends -

The AI tires market is being driven by the rapid evolution of smart mobility, intelligent connected vehicles, and autonomous driving technologies. Rising safety requirements, stricter emissions regulations, and the global push for energy-efficient transportation are accelerating the adoption of intelligent tire solutions.

Key growth drivers include:
► Increasing penetration of connected and autonomous vehicles
► Growing demand for real-time safety monitoring and predictive maintenance
► Expansion of fleet management and data-driven mobility services
► Continuous advancements in sensor technology, AI algorithms, and cloud computing

AI tires are transitioning from premium innovations to critical components of next-generation vehicle systems, enabling smarter decision-making at both the vehicle and fleet levels.

Regional Market Insights -
► North America represents a key early-adoption market, supported by advanced automotive technology ecosystems, fleet digitalization, and autonomous driving trials.
► Europe maintains strong demand driven by safety regulations, intelligent mobility initiatives, and the presence of leading automotive OEMs.
► Asia-Pacific is emerging as both a major manufacturing hub and a fast-growing demand center, led by China, Japan, and South Korea, where smart vehicle adoption and large-scale fleet operations are expanding rapidly.
► South America and Middle East & Africa are developing markets, where AI tire adoption is expected to rise gradually alongside connected vehicle infrastructure investments.

Market Segmentation Analysis -

By Type -
► Standard Type
► Customized Type

Customized AI tires are gaining traction as OEMs and fleet operators seek solutions tailored to specific vehicle platforms and operating conditions.

By Application -
► Passenger Vehicles
► Commercial Vehicles

Commercial vehicles represent a key growth segment, driven by fleet operators' focus on safety, cost reduction, and predictive maintenance through real-time tire intelligence.

Key Companies Profiled -
► Anritsu
► Continental
► Bosch
► LG
► HARMAN
► Valeo
► Denso
► Marelli

In 2024, the top five global players accounted for a significant share of total market revenue, highlighting a competitive yet innovation-driven market structure where technology integration and partnerships are critical differentiators.

Reasons to Procure This Report -
► Gain access to global, regional, and country-level AI tires market forecasts through 2031
► Understand competitive positioning, company rankings, and market concentration trends
► Identify growth opportunities across vehicle types and intelligent mobility applications
► Analyze supply chain structure, pricing dynamics, and tariff-related risks
► Support strategic planning for product development, partnerships, and market expansion

Key Questions Answered in the Report -
► What is the current size and future growth outlook of the global AI tires market?
► Which regions and applications will drive demand growth through 2031?
► How are AI, sensor integration, and data platforms transforming tire performance?
► Who are the leading players, and how competitive is the market landscape?
► What opportunities and risks exist for manufacturers and technology providers?

Request for Pre-Order / Enquiry Link:
https://qyresearch.in/pre-order-inquiry/automobile-transportation-ai-tires-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Table of Content:
1 Market Overview
1.1 AI Tires Product Introduction
1.2 Global AI Tires Market Size Forecast
1.2.1 Global AI Tires Sales Value (2020-2031)
1.2.2 Global AI Tires Sales Volume (2020-2031)
1.2.3 Global AI Tires Sales Price (2020-2031)
1.3 AI Tires Market Trends & Drivers
1.3.1 AI Tires Industry Trends
1.3.2 AI Tires Market Drivers & Opportunity
1.3.3 AI Tires Market Challenges
1.3.4 AI Tires Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Tires Players Revenue Ranking (2024)
2.2 Global AI Tires Revenue by Company (2020-2025)
2.3 Global AI Tires Players Sales Volume Ranking (2024)
2.4 Global AI Tires Sales Volume by Company Players (2020-2025)
2.5 Global AI Tires Average Price by Company (2020-2025)
2.6 Key Manufacturers AI Tires Manufacturing Base and Headquarters
2.7 Key Manufacturers AI Tires Product Offered
2.8 Key Manufacturers Time to Begin Mass Production of AI Tires
2.9 AI Tires Market Competitive Analysis
2.9.1 AI Tires Market Concentration Rate (2020-2025)
2.9.2 Global 5 and 10 Largest Manufacturers by AI 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 AI Tires as of 2024)
2.10 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Standard Type
3.1.2 Customized Type
3.2 Global AI Tires Sales Value by Type
3.2.1 Global AI Tires Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI Tires Sales Value, by Type (2020-2031)
3.2.3 Global AI Tires Sales Value, by Type (%) (2020-2031)
3.3 Global AI Tires Sales Volume by Type
3.3.1 Global AI Tires Sales Volume by Type (2020 VS 2024 VS 2031)
3.3.2 Global AI Tires Sales Volume, by Type (2020-2031)
3.3.3 Global AI Tires Sales Volume, by Type (%) (2020-2031)
3.4 Global AI Tires Average Price by Type (2020-2031)
4 Segmentation by Technology
4.1 Introduction by Technology
4.1.1 Integrated eCall
4.1.2 Standalone eCall
4.2 Global AI Tires Sales Value by Technology
4.2.1 Global AI Tires Sales Value by Technology (2020 VS 2024 VS 2031)
4.2.2 Global AI Tires Sales Value, by Technology (2020-2031)
4.2.3 Global AI Tires Sales Value, by Technology (%) (2020-2031)
4.3 Global AI Tires Sales Volume by Technology
4.3.1 Global AI Tires Sales Volume by Technology (2020 VS 2024 VS 2031)
4.3.2 Global AI Tires Sales Volume, by Technology (2020-2031)
4.3.3 Global AI Tires Sales Volume, by Technology (%) (2020-2031)
4.4 Global AI 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 AI Tires Sales Value by Market
5.2.1 Global AI Tires Sales Value by Market (2020 VS 2024 VS 2031)
5.2.2 Global AI Tires Sales Value, by Market (2020-2031)
5.2.3 Global AI Tires Sales Value, by Market (%) (2020-2031)
5.3 Global AI Tires Sales Volume by Market
5.3.1 Global AI Tires Sales Volume by Market (2020 VS 2024 VS 2031)
5.3.2 Global AI Tires Sales Volume, by Market (2020-2031)
5.3.3 Global AI Tires Sales Volume, by Market (%) (2020-2031)
5.4 Global AI 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 AI Tires Sales Value by Application
6.2.1 Global AI Tires Sales Value by Application (2020 VS 2024 VS 2031)
6.2.2 Global AI Tires Sales Value, by Application (2020-2031)
6.2.3 Global AI Tires Sales Value, by Application (%) (2020-2031)
6.3 Global AI Tires Sales Volume by Application
6.3.1 Global AI Tires Sales Volume by Application (2020 VS 2024 VS 2031)
6.3.2 Global AI Tires Sales Volume, by Application (2020-2031)
6.3.3 Global AI Tires Sales Volume, by Application (%) (2020-2031)
6.4 Global AI Tires Average Price by Application (2020-2031)
7 Segmentation by Region
7.1 Global AI Tires Sales Value by Region
7.1.1 Global AI Tires Sales Value by Region: 2020 VS 2024 VS 2031
7.1.2 Global AI Tires Sales Value by Region (2020-2025)
7.1.3 Global AI Tires Sales Value by Region (2026-2031)
7.1.4 Global AI Tires Sales Value by Region (%), (2020-2031)
7.2 Global AI Tires Sales Volume by Region
7.2.1 Global AI Tires Sales Volume by Region: 2020 VS 2024 VS 2031
7.2.2 Global AI Tires Sales Volume by Region (2020-2025)
7.2.3 Global AI Tires Sales Volume by Region (2026-2031)
7.2.4 Global AI Tires Sales Volume by Region (%), (2020-2031)
7.3 Global AI Tires Average Price by Region (2020-2031)
7.4 North America
7.4.1 North America AI Tires Sales Value, 2020-2031
7.4.2 North America AI Tires Sales Value by Country (%), 2024 VS 2031
7.5 Europe
7.5.1 Europe AI Tires Sales Value, 2020-2031
7.5.2 Europe AI Tires Sales Value by Country (%), 2024 VS 2031
7.6 Asia Pacific
7.6.1 Asia Pacific AI Tires Sales Value, 2020-2031
7.6.2 Asia Pacific AI Tires Sales Value by Region (%), 2024 VS 2031
7.7 South America
7.7.1 South America AI Tires Sales Value, 2020-2031
7.7.2 South America AI Tires Sales Value by Country (%), 2024 VS 2031
7.8 Middle East & Africa
7.8.1 Middle East & Africa AI Tires Sales Value, 2020-2031
7.8.2 Middle East & Africa AI Tires Sales Value by Country (%), 2024 VS 2031
8 Segmentation by Key Countries/Regions
8.1 Key Countries/Regions AI Tires Sales Value Growth Trends, 2020 VS 2024 VS 2031
8.2 Key Countries/Regions AI Tires Sales Value and Sales Volume
8.2.1 Key Countries/Regions AI Tires Sales Value, 2020-2031
8.2.2 Key Countries/Regions AI Tires Sales Volume, 2020-2031
8.3 United States
8.3.1 United States AI Tires Sales Value, 2020-2031
8.3.2 United States AI Tires Sales Value by Type (%), 2024 VS 2031
8.3.3 United States AI Tires Sales Value by Application, 2024 VS 2031
8.4 Europe
8.4.1 Europe AI Tires Sales Value, 2020-2031
8.4.2 Europe AI Tires Sales Value by Type (%), 2024 VS 2031
8.4.3 Europe AI Tires Sales Value by Application, 2024 VS 2031
8.5 China
8.5.1 China AI Tires Sales Value, 2020-2031
8.5.2 China AI Tires Sales Value by Type (%), 2024 VS 2031
8.5.3 China AI Tires Sales Value by Application, 2024 VS 2031
8.6 Japan
8.6.1 Japan AI Tires Sales Value, 2020-2031
8.6.2 Japan AI Tires Sales Value by Type (%), 2024 VS 2031
8.6.3 Japan AI Tires Sales Value by Application, 2024 VS 2031
8.7 South Korea
8.7.1 South Korea AI Tires Sales Value, 2020-2031
8.7.2 South Korea AI Tires Sales Value by Type (%), 2024 VS 2031
8.7.3 South Korea AI Tires Sales Value by Application, 2024 VS 2031
8.8 Southeast Asia
8.8.1 Southeast Asia AI Tires Sales Value, 2020-2031
8.8.2 Southeast Asia AI Tires Sales Value by Type (%), 2024 VS 2031
8.8.3 Southeast Asia AI Tires Sales Value by Application, 2024 VS 2031
8.9 India
8.9.1 India AI Tires Sales Value, 2020-2031
8.9.2 India AI Tires Sales Value by Type (%), 2024 VS 2031
8.9.3 India AI Tires Sales Value by Application, 2024 VS 2031
9 Company Profiles
9.1 Anritsu
9.1.1 Anritsu Company Information
9.1.2 Anritsu Introduction and Business Overview
9.1.3 Anritsu AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.1.4 Anritsu AI Tires Product Offerings
9.1.5 Anritsu Recent Development
9.2 Continental
9.2.1 Continental Company Information
9.2.2 Continental Introduction and Business Overview
9.2.3 Continental AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.2.4 Continental AI Tires Product Offerings
9.2.5 Continental Recent Development
9.3 Bosch
9.3.1 Bosch Company Information
9.3.2 Bosch Introduction and Business Overview
9.3.3 Bosch AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.3.4 Bosch AI Tires Product Offerings
9.3.5 Bosch Recent Development
9.4 LG
9.4.1 LG Company Information
9.4.2 LG Introduction and Business Overview
9.4.3 LG AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.4.4 LG AI Tires Product Offerings
9.4.5 LG Recent Development
9.5 HARMAN
9.5.1 HARMAN Company Information
9.5.2 HARMAN Introduction and Business Overview
9.5.3 HARMAN AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.5.4 HARMAN AI Tires Product Offerings
9.5.5 HARMAN Recent Development
9.6 Valeo
9.6.1 Valeo Company Information
9.6.2 Valeo Introduction and Business Overview
9.6.3 Valeo AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.6.4 Valeo AI Tires Product Offerings
9.6.5 Valeo Recent Development
9.7 Denso
9.7.1 Denso Company Information
9.7.2 Denso Introduction and Business Overview
9.7.3 Denso AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.7.4 Denso AI Tires Product Offerings
9.7.5 Denso Recent Development
9.8 Marelli
9.8.1 Marelli Company Information
9.8.2 Marelli Introduction and Business Overview
9.8.3 Marelli AI Tires Sales, Revenue, Price and Gross Margin (2020-2025)
9.8.4 Marelli AI Tires Product Offerings
9.8.5 Marelli Recent Development
10 Industry Chain Analysis
10.1 AI Tires Industrial Chain
10.2 AI 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 AI Tires Sales Model
10.5.2 Sales Channel
10.5.3 AI 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

QY Research PVT. LTD.
315 Work Avenue,
Raheja Woods,
6th Floor, Kalyani Nagar,
Yervada, Pune - 411060,
Maharashtra, India
India: (O) +91 866 998 6909
USA: (O) +1 626 295 2442
Email: hitesh@qyresearch.com
Web: www.qyresearch.in

About QY Research

QY Research, founded in 2007, is a leading global market research and consulting firm delivering syndicated and customized research solutions across automotive, electronics, materials, healthcare, and advanced technology industries. With over 50,000 clients across 80+ countries, QY Research is committed to providing reliable insights supported by rigorous research methodologies and deep industry expertise.

This release was published on openPR.