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Automotive IoT Market by Technology (Connectivity, Edge Computing, Cloud Computing, Artificial Intelligence (AI)), Application (Vehicle Tracking and Fleet Management, In-Vehicle Communication Systems, Autonomous Vehicles, Telematics and Diagnostics, Infotainment Systems), Vehicle Type (Passenger Vehicles, Commercial Vehicles), End-User (Original Equipment Manufacturers (OEM), Aftermarket); Global Insights & Forecast (2024 – 2030)

Published: December, 2024  
|   Report ID: AT5168  
|   Automotive and Transportation

As per Intent Market Research, the Automotive IoT Market was valued at USD 65.0 billion in 2023 and will surpass USD 231.7 billion by 2030; growing at a CAGR of 19.9% during 2024 - 2030.

The automotive Internet of Things (IoT) market is rapidly evolving, driven by advancements in connectivity, automation, and data analytics. IoT technology in the automotive sector enables real-time communication between vehicles, infrastructure, and users, enhancing safety, efficiency, and convenience. The increasing integration of IoT in vehicles is transforming how automakers design and manufacture vehicles, offering consumers a smarter, more connected driving experience. IoT also facilitates advanced vehicle diagnostics, predictive maintenance, and enhanced navigation systems. As the industry moves towards autonomous driving, IoT plays a central role in enabling vehicle communication and processing the data required for safe and efficient operations.

Moreover, the growth of electric vehicles (EVs) and connected services has accelerated the demand for IoT solutions in the automotive market. The ability to integrate IoT into various vehicle functions, including fleet management, infotainment, and autonomous driving, is driving the market's expansion. As connectivity and data exchange between vehicles and smart cities evolve, the automotive IoT market is poised for rapid growth, with both OEMs and aftermarket suppliers capitalizing on these emerging opportunities.

Connectivity Technology Is Largest Owing to Its Role in Vehicle Communication

Connectivity remains the largest technology segment in the automotive IoT market. This subsegment enables real-time data exchange between vehicles, the cloud, and various infrastructure elements, such as traffic lights and road sensors. By allowing vehicles to communicate with each other (V2V) and with infrastructure (V2I), connectivity enhances safety, traffic flow, and fuel efficiency. It also forms the backbone for applications like navigation systems, remote diagnostics, and vehicle tracking. As consumer demand for smart features increases, automakers are adopting more advanced connectivity technologies to improve user experiences, including seamless integration with smartphones, wearable devices, and home automation systems.

The continuous development of 5G technology is further propelling the growth of the connectivity segment. With 5G offering faster and more reliable communication, vehicles can exchange data in real time, enabling features such as autonomous driving, advanced driver-assistance systems (ADAS), and in-vehicle entertainment. The expansion of connected vehicles worldwide ensures that connectivity remains the dominant technology in the automotive IoT market.

Automotive IoT Market Size 2030

Artificial Intelligence (AI) Technology Is Fastest Growing Owing to Autonomous Driving

Artificial Intelligence (AI) is the fastest-growing technology in the automotive IoT market, largely due to its crucial role in the development of autonomous vehicles. AI enables vehicles to process vast amounts of data from sensors, cameras, and radars, making decisions in real time. AI algorithms help in object detection, path planning, and decision-making, all of which are essential for the safe and efficient operation of autonomous vehicles. As the automotive industry moves towards fully autonomous cars, AI is becoming an indispensable component for advanced driver assistance systems (ADAS) and self-driving technology.

AI is also being increasingly integrated into other aspects of automotive IoT, such as predictive maintenance, where machine learning models analyze data to predict vehicle issues before they become critical. As advancements in AI continue, the technology is expected to further disrupt the automotive industry, enabling more sophisticated, intelligent vehicles that can learn from their environment and improve performance over time.

Vehicle Tracking and Fleet Management Application Is Largest Owing to Increased Demand for Efficiency

The vehicle tracking and fleet management application is the largest in the automotive IoT market. As businesses and logistics companies increasingly rely on fleets of vehicles to deliver goods and services, the need for real-time tracking, monitoring, and management has grown significantly. IoT-enabled solutions allow fleet managers to track vehicle locations, monitor driver behavior, and optimize routes, improving operational efficiency and reducing fuel consumption. Additionally, vehicle tracking provides valuable data for maintenance scheduling, improving fleet uptime and reducing costs.

The demand for efficient fleet management is not limited to logistics alone. Commercial fleets in industries like agriculture, construction, and public transportation are adopting IoT solutions to improve their operations. As the IoT infrastructure for vehicle tracking and fleet management becomes more advanced, this application is expected to continue dominating the automotive IoT market.

Passenger Vehicles Vehicle Type Is Largest Owing to Consumer Demand for Smart Features

Passenger vehicles represent the largest vehicle type in the automotive IoT market. The increasing demand for connected and smart features in consumer vehicles, such as in-car entertainment, navigation systems, and advanced driver assistance systems (ADAS), is driving the growth of IoT in passenger cars. Consumers expect a seamless, personalized driving experience, which is facilitated by IoT technologies that integrate vehicle systems with smartphones and home automation devices. Furthermore, as vehicle safety and convenience become paramount, IoT-enabled technologies such as real-time traffic updates, collision warning systems, and remote diagnostics are becoming standard in passenger vehicles.

The widespread adoption of electric vehicles (EVs) is also boosting the demand for IoT solutions, as EVs require enhanced connectivity for functions like battery monitoring and charging station navigation. As the automotive market continues to shift towards more connected and automated passenger vehicles, the demand for IoT technology is expected to remain strong in this segment.

North America Is Largest Region Owing to Strong Automotive Industry and Technology Adoption

North America is the largest region in the automotive IoT market, driven by the region’s advanced automotive industry and rapid adoption of new technologies. The United States, in particular, is a leader in automotive manufacturing, with a strong presence of both OEMs and technology companies that are advancing IoT integration in vehicles. The region’s infrastructure is also well-suited to support connected vehicle technologies, including the development of 5G networks, which are essential for the growth of IoT-enabled applications like autonomous driving and real-time vehicle communication.

Moreover, North America has witnessed strong consumer demand for smart vehicles equipped with IoT-enabled features, such as telematics, in-vehicle communication systems, and advanced safety features. As the market for connected and autonomous vehicles grows, North America’s automotive IoT market will continue to thrive, supported by both regulatory frameworks and high consumer expectations.

Automotive IoT Market Share by region 2030

Leading Companies and Competitive Landscape

The automotive IoT market is highly competitive, with major players across both technology and automotive industries leading the charge. Leading companies include Bosch, Continental AG, Harman International, Qualcomm, and Ericsson, all of which are investing heavily in IoT innovations for the automotive sector. These companies provide a broad range of IoT solutions, from connectivity platforms to AI-driven autonomous vehicle systems.

As the market evolves, competition is intensifying around the integration of advanced technologies like 5G, AI, and edge computing into vehicle systems. Companies are also forming partnerships with automotive manufacturers to develop IoT solutions tailored to the needs of modern vehicles. In addition to established players, new startups and tech firms are entering the space, providing innovative solutions that push the boundaries of what IoT can achieve in the automotive industry. As a result, companies are focusing on R&D, strategic alliances, and acquisitions to strengthen their positions in this rapidly expanding market.

List of Leading Companies:

  • Aptiv PLC
  • Autotalks Ltd.
  • Cisco Systems, Inc.
  • Continental AG
  • Daimler AG
  • Ford Motor Company
  • General Motors
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • NXP Semiconductors
  • Qualcomm Technologies, Inc.
  • Robert Bosch GmbH
  • Samsara Inc.
  • TomTom International BV
  • Valeo S.A.

Recent Developments:

  • Robert Bosch GmbH launched a new automotive IoT platform for smarter fleet management, enhancing vehicle diagnostics and predictive maintenance.
  • Daimler AG unveiled a connected vehicle system that integrates cloud computing and AI to offer personalized in-vehicle experiences and real-time analytics.
  • General Motors partnered with Qualcomm Technologies to develop next-generation connected vehicle solutions, focusing on 5G connectivity and autonomous driving technologies.
  • Ford Motor Company announced the acquisition of an IoT-based fleet management company to strengthen its smart vehicle offerings and enhance driver safety features.
  • Aptiv PLC expanded its partnership with major automakers to integrate IoT technologies into their autonomous driving systems, focusing on vehicle-to-everything (V2X) communication.

Report Scope:

Report Features

Description

Market Size (2023)

USD 65.0 Billion

Forecasted Value (2030)

USD 231.7 Billion

CAGR (2024 – 2030)

19.9%

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 Technology (Connectivity, Edge Computing, Cloud Computing, Artificial Intelligence (AI)), Application (Vehicle Tracking and Fleet Management, In-Vehicle Communication Systems, Autonomous Vehicles, Telematics and Diagnostics, Infotainment Systems), Vehicle Type (Passenger Vehicles, Commercial Vehicles), End-User (Original Equipment Manufacturers (OEM), 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

Aptiv PLC, Autotalks Ltd., Cisco Systems, Inc., Continental AG, Daimler AG, Ford Motor Company, Huawei Technologies Co., Ltd., Intel Corporation, NXP Semiconductors, Qualcomm Technologies, Inc., Robert Bosch GmbH, Samsara Inc., Valeo S.A.

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 IoT Market, by Technology (Market Size & Forecast: USD Million, 2022 – 2030)

   4.1. Connectivity

   4.2. Edge Computing

   4.3. Cloud Computing

   4.4. Artificial Intelligence (AI)

5. Automotive IoT Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030)

   5.1. Vehicle Tracking and Fleet Management

   5.2. In-Vehicle Communication Systems

   5.3. Autonomous Vehicles

   5.4. Telematics and Diagnostics

   5.5. Infotainment Systems

6. Automotive IoT Market, by Vehicle Type (Market Size & Forecast: USD Million, 2022 – 2030)

   6.1. Passenger Vehicles

   6.2. Commercial Vehicles

7. Automotive IoT Market, by End-User (Market Size & Forecast: USD Million, 2022 – 2030)

   7.1. Original Equipment Manufacturers (OEM)

   7.2. Aftermarket

8. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030)

   8.1. Regional Overview

   8.2. North America

      8.2.1. Regional Trends & Growth Drivers

      8.2.2. Barriers & Challenges

      8.2.3. Opportunities

      8.2.4. Factor Impact Analysis

      8.2.5. Technology Trends

      8.2.6. North America Automotive IoT Market, by Technology

      8.2.7. North America Automotive IoT Market, by Application

      8.2.8. North America Automotive IoT Market, by Vehicle Type

      8.2.9. North America Automotive IoT Market, by End-User

      8.2.10. By Country

         8.2.10.1. US

               8.2.10.1.1. US Automotive IoT Market, by Technology

               8.2.10.1.2. US Automotive IoT Market, by Application

               8.2.10.1.3. US Automotive IoT Market, by Vehicle Type

               8.2.10.1.4. US Automotive IoT Market, by End-User

         8.2.10.2. Canada

         8.2.10.3. Mexico

    *Similar segmentation will be provided for each region and country

   8.3. Europe

   8.4. Asia-Pacific

   8.5. Latin America

   8.6. Middle East & Africa

9. Competitive Landscape

   9.1. Overview of the Key Players

   9.2. Competitive Ecosystem

      9.2.1. Level of Fragmentation

      9.2.2. Market Consolidation

      9.2.3. Product Innovation

   9.3. Company Share Analysis

   9.4. Company Benchmarking Matrix

      9.4.1. Strategic Overview

      9.4.2. Product Innovations

   9.5. Start-up Ecosystem

   9.6. Strategic Competitive Insights/ Customer Imperatives

   9.7. ESG Matrix/ Sustainability Matrix

   9.8. Manufacturing Network

      9.8.1. Locations

      9.8.2. Supply Chain and Logistics

      9.8.3. Product Flexibility/Customization

      9.8.4. Digital Transformation and Connectivity

      9.8.5. Environmental and Regulatory Compliance

   9.9. Technology Readiness Level Matrix

   9.10. Technology Maturity Curve

   9.11. Buying Criteria

10. Company Profiles

   10.1. Aptiv PLC

      10.1.1. Company Overview

      10.1.2. Company Financials

      10.1.3. Product/Service Portfolio

      10.1.4. Recent Developments

      10.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   10.2. Autotalks Ltd.

   10.3. Cisco Systems, Inc.

   10.4. Continental AG

   10.5. Daimler AG

   10.6. Ford Motor Company

   10.7. General Motors

   10.8. Huawei Technologies Co., Ltd.

   10.9. Intel Corporation

   10.10. NXP Semiconductors

   10.11. Qualcomm Technologies, Inc.

   10.12. Robert Bosch GmbH

   10.13. Samsara Inc.

   10.14. TomTom International BV

   10.15. Valeo S.A.

11. Appendix

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A comprehensive market research approach was employed to gather and analyze data on the Automotive IoT 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 IoT Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach - Automotive IoT Market

Secondary Research

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

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Automotive IoT 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:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down - Automotive IoT Market

Data Triangulation

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.

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