
AI-driven Tire Pressure Monitoring System (TPMS) is an advanced automotive technology that leverages artificial intelligence (AI) algorithms and sensors to continuously monitor the air pressure within each tire of a vehicle, as well as other relevant parameters such as temperature and tread wear, in real-time. This system goes beyond traditional TPMS by incorporating AI capabilities to enhance accuracy, predictive maintenance, and safety.
The global AI-driven Tire Pressure Monitoring System market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI-driven Tire Pressure Monitoring System is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI-driven Tire Pressure Monitoring System is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI-driven Tire Pressure Monitoring System in Passenger Car is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI-driven Tire Pressure Monitoring System include Schrader (Sensata), Continental, ZF TRW, Pacific Industrial, Sate Auto Electronic, Huf, Lear, Denso, NIRA Dynamics, ACDelco, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-driven Tire Pressure Monitoring System, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-driven Tire Pressure Monitoring System.
The AI-driven Tire Pressure Monitoring System market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-driven Tire Pressure Monitoring System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-driven Tire Pressure Monitoring System companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Schrader (Sensata)
Continental
ZF TRW
Pacific Industrial
Sate Auto Electronic
Huf
Lear
Denso
NIRA Dynamics
ACDelco
Bendix
CUB Elecparts
Orange Electronic
Shenzhen Autotech
Steelmate
Baolong Automotive
Shenzhen Hangshen
Nanjing Top Sun
Segment by Type
Direct TPMS
Indirect TPMS
Segment by Application
Passenger Car
Commercial Vehicle
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-driven Tire Pressure Monitoring System company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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 capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-driven Tire Pressure Monitoring System Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Direct TPMS
1.2.3 Indirect TPMS
1.3 Market by Application
1.3.1 Global AI-driven Tire Pressure Monitoring System Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Passenger Car
1.3.3 Commercial Vehicle
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-driven Tire Pressure Monitoring System Market Perspective (2019-2030)
2.2 Global AI-driven Tire Pressure Monitoring System Growth Trends by Region
2.2.1 Global AI-driven Tire Pressure Monitoring System Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-driven Tire Pressure Monitoring System Historic Market Size by Region (2019-2024)
2.2.3 AI-driven Tire Pressure Monitoring System Forecasted Market Size by Region (2025-2030)
2.3 AI-driven Tire Pressure Monitoring System Market Dynamics
2.3.1 AI-driven Tire Pressure Monitoring System Industry Trends
2.3.2 AI-driven Tire Pressure Monitoring System Market Drivers
2.3.3 AI-driven Tire Pressure Monitoring System Market Challenges
2.3.4 AI-driven Tire Pressure Monitoring System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-driven Tire Pressure Monitoring System Players by Revenue
3.1.1 Global Top AI-driven Tire Pressure Monitoring System Players by Revenue (2019-2024)
3.1.2 Global AI-driven Tire Pressure Monitoring System Revenue Market Share by Players (2019-2024)
3.2 Global AI-driven Tire Pressure Monitoring System Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-driven Tire Pressure Monitoring System Revenue
3.4 Global AI-driven Tire Pressure Monitoring System Market Concentration Ratio
3.4.1 Global AI-driven Tire Pressure Monitoring System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-driven Tire Pressure Monitoring System Revenue in 2023
3.5 Global Key Players of AI-driven Tire Pressure Monitoring System Head office and Area Served
3.6 Global Key Players of AI-driven Tire Pressure Monitoring System, Product and Application
3.7 Global Key Players of AI-driven Tire Pressure Monitoring System, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-driven Tire Pressure Monitoring System Breakdown Data by Type
4.1 Global AI-driven Tire Pressure Monitoring System Historic Market Size by Type (2019-2024)
4.2 Global AI-driven Tire Pressure Monitoring System Forecasted Market Size by Type (2025-2030)
5 AI-driven Tire Pressure Monitoring System Breakdown Data by Application
5.1 Global AI-driven Tire Pressure Monitoring System Historic Market Size by Application (2019-2024)
5.2 Global AI-driven Tire Pressure Monitoring System Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-driven Tire Pressure Monitoring System Market Size (2019-2030)
6.2 North America AI-driven Tire Pressure Monitoring System Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-driven Tire Pressure Monitoring System Market Size by Country (2019-2024)
6.4 North America AI-driven Tire Pressure Monitoring System Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-driven Tire Pressure Monitoring System Market Size (2019-2030)
7.2 Europe AI-driven Tire Pressure Monitoring System Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-driven Tire Pressure Monitoring System Market Size by Country (2019-2024)
7.4 Europe AI-driven Tire Pressure Monitoring System Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-driven Tire Pressure Monitoring System Market Size (2019-2030)
8.2 Asia-Pacific AI-driven Tire Pressure Monitoring System Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-driven Tire Pressure Monitoring System Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-driven Tire Pressure Monitoring System Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-driven Tire Pressure Monitoring System Market Size (2019-2030)
9.2 Latin America AI-driven Tire Pressure Monitoring System Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-driven Tire Pressure Monitoring System Market Size by Country (2019-2024)
9.4 Latin America AI-driven Tire Pressure Monitoring System Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-driven Tire Pressure Monitoring System Market Size (2019-2030)
10.2 Middle East & Africa AI-driven Tire Pressure Monitoring System Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-driven Tire Pressure Monitoring System Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-driven Tire Pressure Monitoring System Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Schrader (Sensata)
11.1.1 Schrader (Sensata) Company Details
11.1.2 Schrader (Sensata) Business Overview
11.1.3 Schrader (Sensata) AI-driven Tire Pressure Monitoring System Introduction
11.1.4 Schrader (Sensata) Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.1.5 Schrader (Sensata) Recent Development
11.2 Continental
11.2.1 Continental Company Details
11.2.2 Continental Business Overview
11.2.3 Continental AI-driven Tire Pressure Monitoring System Introduction
11.2.4 Continental Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.2.5 Continental Recent Development
11.3 ZF TRW
11.3.1 ZF TRW Company Details
11.3.2 ZF TRW Business Overview
11.3.3 ZF TRW AI-driven Tire Pressure Monitoring System Introduction
11.3.4 ZF TRW Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.3.5 ZF TRW Recent Development
11.4 Pacific Industrial
11.4.1 Pacific Industrial Company Details
11.4.2 Pacific Industrial Business Overview
11.4.3 Pacific Industrial AI-driven Tire Pressure Monitoring System Introduction
11.4.4 Pacific Industrial Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.4.5 Pacific Industrial Recent Development
11.5 Sate Auto Electronic
11.5.1 Sate Auto Electronic Company Details
11.5.2 Sate Auto Electronic Business Overview
11.5.3 Sate Auto Electronic AI-driven Tire Pressure Monitoring System Introduction
11.5.4 Sate Auto Electronic Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.5.5 Sate Auto Electronic Recent Development
11.6 Huf
11.6.1 Huf Company Details
11.6.2 Huf Business Overview
11.6.3 Huf AI-driven Tire Pressure Monitoring System Introduction
11.6.4 Huf Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.6.5 Huf Recent Development
11.7 Lear
11.7.1 Lear Company Details
11.7.2 Lear Business Overview
11.7.3 Lear AI-driven Tire Pressure Monitoring System Introduction
11.7.4 Lear Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.7.5 Lear Recent Development
11.8 Denso
11.8.1 Denso Company Details
11.8.2 Denso Business Overview
11.8.3 Denso AI-driven Tire Pressure Monitoring System Introduction
11.8.4 Denso Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.8.5 Denso Recent Development
11.9 NIRA Dynamics
11.9.1 NIRA Dynamics Company Details
11.9.2 NIRA Dynamics Business Overview
11.9.3 NIRA Dynamics AI-driven Tire Pressure Monitoring System Introduction
11.9.4 NIRA Dynamics Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.9.5 NIRA Dynamics Recent Development
11.10 ACDelco
11.10.1 ACDelco Company Details
11.10.2 ACDelco Business Overview
11.10.3 ACDelco AI-driven Tire Pressure Monitoring System Introduction
11.10.4 ACDelco Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.10.5 ACDelco Recent Development
11.11 Bendix
11.11.1 Bendix Company Details
11.11.2 Bendix Business Overview
11.11.3 Bendix AI-driven Tire Pressure Monitoring System Introduction
11.11.4 Bendix Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.11.5 Bendix Recent Development
11.12 CUB Elecparts
11.12.1 CUB Elecparts Company Details
11.12.2 CUB Elecparts Business Overview
11.12.3 CUB Elecparts AI-driven Tire Pressure Monitoring System Introduction
11.12.4 CUB Elecparts Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.12.5 CUB Elecparts Recent Development
11.13 Orange Electronic
11.13.1 Orange Electronic Company Details
11.13.2 Orange Electronic Business Overview
11.13.3 Orange Electronic AI-driven Tire Pressure Monitoring System Introduction
11.13.4 Orange Electronic Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.13.5 Orange Electronic Recent Development
11.14 Shenzhen Autotech
11.14.1 Shenzhen Autotech Company Details
11.14.2 Shenzhen Autotech Business Overview
11.14.3 Shenzhen Autotech AI-driven Tire Pressure Monitoring System Introduction
11.14.4 Shenzhen Autotech Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.14.5 Shenzhen Autotech Recent Development
11.15 Steelmate
11.15.1 Steelmate Company Details
11.15.2 Steelmate Business Overview
11.15.3 Steelmate AI-driven Tire Pressure Monitoring System Introduction
11.15.4 Steelmate Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.15.5 Steelmate Recent Development
11.16 Baolong Automotive
11.16.1 Baolong Automotive Company Details
11.16.2 Baolong Automotive Business Overview
11.16.3 Baolong Automotive AI-driven Tire Pressure Monitoring System Introduction
11.16.4 Baolong Automotive Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.16.5 Baolong Automotive Recent Development
11.17 Shenzhen Hangshen
11.17.1 Shenzhen Hangshen Company Details
11.17.2 Shenzhen Hangshen Business Overview
11.17.3 Shenzhen Hangshen AI-driven Tire Pressure Monitoring System Introduction
11.17.4 Shenzhen Hangshen Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.17.5 Shenzhen Hangshen Recent Development
11.18 Nanjing Top Sun
11.18.1 Nanjing Top Sun Company Details
11.18.2 Nanjing Top Sun Business Overview
11.18.3 Nanjing Top Sun AI-driven Tire Pressure Monitoring System Introduction
11.18.4 Nanjing Top Sun Revenue in AI-driven Tire Pressure Monitoring System Business (2019-2024)
11.18.5 Nanjing Top Sun Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Schrader (Sensata)
Continental
ZF TRW
Pacific Industrial
Sate Auto Electronic
Huf
Lear
Denso
NIRA Dynamics
ACDelco
Bendix
CUB Elecparts
Orange Electronic
Shenzhen Autotech
Steelmate
Baolong Automotive
Shenzhen Hangshen
Nanjing Top Sun
Ìý
Ìý
*If Applicable.
