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As per Intent Market Research, the Automotive Internet of Things Market was valued at USD 131.0 billion in 2023 and will surpass USD 351.2 billion by 2030; growing at a CAGR of 15.1% during 2024 - 2030.
The Automotive Internet of Things (IoT) market is evolving rapidly, driven by the need for connected, efficient, and autonomous vehicles. As vehicles become more integrated with technology, IoT plays a pivotal role in enhancing vehicle safety, driver experiences, and operational efficiencies. The automotive IoT ecosystem comprises various segments, including components, connectivity technologies, applications, vehicle types, and end-users, all of which contribute to the advancement of smart automotive solutions. The demand for advanced features such as real-time data sharing, predictive maintenance, and autonomous driving systems is propelling growth across these segments, leading to innovation in IoT-enabled technologies for the automotive industry.
In the automotive IoT market, the component segment includes hardware, software, and services. The hardware subsegment holds the largest share of the market, primarily due to the rising demand for physical components that are critical for connecting vehicles to the Internet and enabling smart functionalities. These components include sensors, processors, cameras, and connectivity modules that facilitate a wide range of IoT applications in vehicles.
Hardware is essential for the development of advanced safety features, autonomous driving technologies, and in-car infotainment systems. The growth of autonomous vehicles, which rely heavily on sensors and other IoT devices, is a significant driver of this subsegment. Additionally, hardware plays a crucial role in improving vehicle diagnostics, monitoring, and management through telematics systems, further enhancing the overall automotive IoT market.
The connectivity technology segment includes cellular, Wi-Fi, Bluetooth, Zigbee, and other technologies that enable communication between vehicles and external infrastructure. Among these, cellular technology is the fastest-growing subsegment in automotive IoT, largely due to advancements in 5G technology. Cellular networks, especially 5G, offer ultra-low latency and high-speed data transfer, which are essential for real-time communication between vehicles and infrastructure, paving the way for autonomous driving and connected vehicle ecosystems.
As more vehicles adopt V2X (vehicle-to-everything) communication, cellular technology's ability to handle vast amounts of data and provide reliable connections will become increasingly critical. The push for smart cities and the integration of autonomous vehicles is accelerating the deployment of 5G networks, making cellular technology the leading force in the automotive IoT connectivity space. The ability to support vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-cloud (V2C) communications will drive cellular technology's dominance in the market.
Telematics, which involves the transmission of data from vehicles to external systems, is the largest application in the automotive IoT market. This application encompasses various functions, such as fleet management, vehicle tracking, remote diagnostics, and driver behavior monitoring. Telematics plays a crucial role in providing real-time data to improve vehicle performance, safety, and operational efficiency.
Telematics is widely adopted in both passenger and commercial vehicles, where fleet managers and vehicle owners use the technology to track vehicle performance and optimize routes. The rise in connected cars and the need for predictive maintenance have increased the demand for telematics systems. Furthermore, regulatory requirements for data recording and vehicle monitoring in several regions are also contributing to the growth of this application, making it the largest segment in automotive IoT.
In the automotive IoT market, passenger cars represent the largest vehicle type segment. This is primarily due to the growing consumer demand for connected and smart vehicles equipped with advanced features such as in-car infotainment, autonomous driving capabilities, and real-time connectivity. The integration of IoT technologies in passenger cars enhances user experiences by providing safety features, remote diagnostics, and entertainment systems.
OEMs are increasingly incorporating IoT devices in passenger vehicles to meet consumer expectations for seamless connectivity and safety. As a result, passenger cars are the dominant segment, with a significant share in both global sales and IoT adoption. The ongoing development of autonomous driving technologies and advanced driver assistance systems (ADAS) also contributes to the growth of passenger cars as a leading vehicle type in the automotive IoT market.
The OEMs (Original Equipment Manufacturers) segment is the largest end-user in the automotive IoT market. OEMs integrate IoT technologies directly into vehicles during the manufacturing process, offering consumers a range of connected features such as infotainment systems, advanced driver assistance, and predictive maintenance tools. OEMs play a critical role in shaping the automotive IoT market by embedding innovative IoT solutions in vehicles that enhance safety, convenience, and efficiency.
OEMs are also collaborating with technology companies to develop IoT-enabled solutions that allow vehicles to communicate with smart cities, autonomous infrastructure, and other connected devices. These collaborations are pivotal for driving the development of next-generation vehicles. As the demand for connected and autonomous vehicles grows, OEMs remain the dominant end-user group in automotive IoT, continuing to lead innovations in vehicle connectivity and smart technologies.
The Asia-Pacific (APAC) region is the fastest-growing market for automotive IoT. With countries like China, Japan, South Korea, and India leading the way, the region is witnessing rapid advancements in vehicle connectivity, autonomous driving, and IoT integration. The adoption of connected vehicles is growing quickly, driven by strong automotive manufacturing bases and government initiatives aimed at promoting smart transportation.
The APAC region’s rapid adoption of electric vehicles (EVs) and autonomous driving technology is further fueling the demand for automotive IoT solutions. Moreover, government policies promoting IoT infrastructure and smart city initiatives are accelerating the growth of the automotive IoT market in the region. The increasing number of vehicle manufacturers and technology companies investing in IoT-enabled vehicles makes APAC a key market for the future growth of the automotive IoT industry.
The automotive IoT market is highly competitive, with key players constantly innovating and enhancing their offerings. Bosch, Qualcomm, Intel, Cisco, and Continental AG are among the leading companies in this space, offering a wide range of solutions that span hardware, connectivity technologies, and automotive applications. These companies are focused on developing advanced IoT systems, including sensors, chips, and software platforms, to enable seamless connectivity, autonomous driving, and enhanced safety in vehicles.
The competitive landscape is characterized by strategic collaborations and partnerships between automotive manufacturers and technology providers. Companies are increasingly focused on developing integrated solutions that combine vehicle-to-everything (V2X) communication, cloud services, and edge computing to enable real-time data processing and connectivity. As the automotive IoT market continues to expand, leading companies are working to establish a strong presence in the growing connected vehicle ecosystem.
Report Features |
Description |
Market Size (2023) |
USD 131.0 Billion |
Forecasted Value (2030) |
USD 351.2 Billion |
CAGR (2024 – 2030) |
15.1% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Automotive IoT Market By Component (Hardware, Software, Services), By Connectivity Technology (Cellular, Wi-Fi, Bluetooth, Zigbee), By Application (Telematics, Infotainment, Fleet Management, Vehicle Tracking, Autonomous Driving, Predictive Maintenance), By Vehicle Type (Passenger Cars, Commercial Vehicles, Electric Vehicles, Hybrid Vehicles), By End-User (OEMs, Aftermarket) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Major Companies |
Autotalks Ltd., Bosch, Cisco Systems, Continental AG, Daimler AG, Ericsson, Ford Motor Company, Harman International, IBM Corporation, Intel Corporation, NXP Semiconductors, Qualcomm, Telenor Group, Toyota Motor Corporation, Vodafone Group |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Automotive Internet Of Things Market, by Component (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Hardware |
4.2. Software |
4.3. Services |
5. Automotive Internet Of Things Market, by Connectivity Technology (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Cellular |
5.2. Wi-Fi |
5.3. Bluetooth |
5.4. Zigbee |
5.5. Other Connectivity Technologies |
6. Automotive Internet Of Things Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Telematics |
6.2. Infotainment |
6.3. Fleet Management |
6.4. Vehicle Tracking |
6.5. Autonomous Driving |
6.6. Predictive Maintenance |
7. Automotive Internet Of Things Market, by Vehicle Type (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Passenger Cars |
7.2. Commercial Vehicles |
7.3. Electric Vehicles (EVs) |
7.4. Hybrid Vehicles |
8. Automotive Internet Of Things Market, by End-User (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. OEMs (Original Equipment Manufacturers) |
8.2. Aftermarket |
9. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
9.1. Regional Overview |
9.2. North America |
9.2.1. Regional Trends & Growth Drivers |
9.2.2. Barriers & Challenges |
9.2.3. Opportunities |
9.2.4. Factor Impact Analysis |
9.2.5. Technology Trends |
9.2.6. North America Automotive Internet Of Things Market, by Component |
9.2.7. North America Automotive Internet Of Things Market, by Connectivity Technology |
9.2.8. North America Automotive Internet Of Things Market, by Application |
9.2.9. North America Automotive Internet Of Things Market, by Vehicle Type |
9.2.10. North America Automotive Internet Of Things Market, by End-User |
9.2.11. By Country |
9.2.11.1. US |
9.2.11.1.1. US Automotive Internet Of Things Market, by Component |
9.2.11.1.2. US Automotive Internet Of Things Market, by Connectivity Technology |
9.2.11.1.3. US Automotive Internet Of Things Market, by Application |
9.2.11.1.4. US Automotive Internet Of Things Market, by Vehicle Type |
9.2.11.1.5. US Automotive Internet Of Things Market, by End-User |
9.2.11.2. Canada |
9.2.11.3. Mexico |
*Similar segmentation will be provided for each region and country |
9.3. Europe |
9.4. Asia-Pacific |
9.5. Latin America |
9.6. Middle East & Africa |
10. Competitive Landscape |
10.1. Overview of the Key Players |
10.2. Competitive Ecosystem |
10.2.1. Level of Fragmentation |
10.2.2. Market Consolidation |
10.2.3. Product Innovation |
10.3. Company Share Analysis |
10.4. Company Benchmarking Matrix |
10.4.1. Strategic Overview |
10.4.2. Product Innovations |
10.5. Start-up Ecosystem |
10.6. Strategic Competitive Insights/ Customer Imperatives |
10.7. ESG Matrix/ Sustainability Matrix |
10.8. Manufacturing Network |
10.8.1. Locations |
10.8.2. Supply Chain and Logistics |
10.8.3. Product Flexibility/Customization |
10.8.4. Digital Transformation and Connectivity |
10.8.5. Environmental and Regulatory Compliance |
10.9. Technology Readiness Level Matrix |
10.10. Technology Maturity Curve |
10.11. Buying Criteria |
11. Company Profiles |
11.1. Autotalks Ltd. |
11.1.1. Company Overview |
11.1.2. Company Financials |
11.1.3. Product/Service Portfolio |
11.1.4. Recent Developments |
11.1.5. IMR Analysis |
*Similar information will be provided for other companies |
11.2. Bosch |
11.3. Cisco Systems |
11.4. Continental AG |
11.5. Daimler AG |
11.6. Ericsson |
11.7. Ford Motor Company |
11.8. Harman International |
11.9. IBM Corporation |
11.10. Intel Corporation |
11.11. NXP Semiconductors |
11.12. Qualcomm |
11.13. Telenor Group |
11.14. Toyota Motor Corporation |
11.15. Vodafone Group |
12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Automotive Internet Of Things Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Automotive Internet Of Things Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Automotive Internet Of Things ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Automotive Internet Of Things Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.