AUTOMOTIVE & TRANSPORTATION
Global Automotive IoT Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Automotive IoT Market, By Type (Hardware, Software, Services), Connectivity Form (Embedded, Tethered, Integrated), Application (Navigation, Telematics, Infotainment, Other), End-User (OEM, Aftermarket), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global automotive IoT market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
Automotive IoT (Internet of Things) is the integration of internet-connected devices and sensors into automobiles to improve usefulness, safety, and efficiency. It offers real-time communication between vehicles, infrastructure, and other digital platforms, allowing for sophisticated features like predictive maintenance, fleet management, autonomous driving, and improved infotainment. The Automotive IoT market includes the creation, manufacture, and deployment of these interconnected technologies, which include hardware components such as sensors and communication modules, as well as software solutions and platforms for data analytics and cloud services. This market consists of key participants in automobile manufacturing, technology suppliers, and service integrators collaborating to provide smarter, safer, and more efficient transportation systems.
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Market Dynamics
DRIVERS
- Increasing adoption of connected vehicles and smart transportation systems.
- Rising consumer demand for enhanced safety and convenience features.
RESTRAINTS
- High implementation and maintenance costs of IoT systems.
- Data security and privacy concerns related to vehicle data.
OPPORTUNITIES
- Expansion into emerging markets with growing automotive industries.
- Advancements in IoT technology enable more sophisticated and scalable solutions.
CHALLENGES
- Ensuring interoperability among different IoT devices and platforms.
- Managing large volumes of data generated by connected vehicles.
SEGMENTATION
- Type
- Hardware
- Software
- Services
- Connectivity Form
- Embedded
- Tethered
- Integrated
- Application
- Navigation
- Telematics
- Infotainment
- Other
- End-User
- OEM
- Aftermarket
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- NXP Semiconductors N.V.
- HARMAN International Industries, Inc.
- Robert Bosch GmbH
- Thales S.A.
- IBM Corporation
- Texas Instruments Incorporated
- Microsoft Corporation
- Intel Corporation
- Verizon Communications Inc.
- QUALCOMM Incorporated
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Automotive IoT Market, by Type
- 3.2 Global Automotive IoT Market, by Connectivity Form
- 3.3 Global Automotive IoT Market, by Application
- 3.4 Global Automotive IoT Market, by End-User
- 3.5 Global Automotive IoT Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Integration of AI and machine learning for predictive maintenance and enhanced vehicle performance.
- 5.1.2 Advancements in sensor technology and telematics systems.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increasing adoption of connected vehicles and smart transportation systems.
- 5.2.2 Rising consumer demand for enhanced safety and convenience features.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High implementation and maintenance costs of IoT systems.
- 5.3.2 Data security and privacy concerns related to vehicle data.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion into emerging markets with growing automotive industries.
- 5.4.2 Advancements in IoT technology enable more sophisticated and scalable solutions.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Ensuring interoperability among different IoT devices and platforms.
- 5.5.2 Managing large volumes of data generated by connected vehicles.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUTOMOTIVE IOT MARKET, BY TYPE
- 6.1 Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Automotive IoT Market, by Type (2019-2032)
- SECTION 7 - GLOBAL AUTOMOTIVE IOT MARKET, BY CONNECTIVITY FORM
- 7.1 Connectivity Form Summary
- 7.2 Market Attractive Index
- 7.3 Global Automotive IoT Market, by Connectivity Form (2019-2032)
- SECTION 8 - GLOBAL AUTOMOTIVE IOT MARKET, BY APPLICATION
- 8.1 Application Summary
- 8.2 Market Attractive Index
- 8.3 Global Automotive IoT Market, by Application (2019-2032)
- SECTION 9 - GLOBAL AUTOMOTIVE IOT MARKET, BY END-USER
- 9.1 End-User Summary
- 9.2 Market Attractive Index
- 9.3 Global Automotive IoT Market, by End-User (2019-2032)
- SECTION 10 - GLOBAL AUTOMOTIVE IOT MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Automotive IoT Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA AUTOMOTIVE IOT MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Automotive IoT Market, by Type (2019-2032)
- 11.4 North America Automotive IoT Market, by Connectivity Form (2019-2032)
- 11.5 North America Automotive IoT Market, by Application (2019-2032)
- 11.6 North America Automotive IoT Market, by End-User (2019-2032)
- 11.7 North America Automotive IoT Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE AUTOMOTIVE IOT MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Automotive IoT Market, by Type (2019-2032)
- 12.4 Europe Automotive IoT Market, by Connectivity Form (2019-2032)
- 12.5 Europe Automotive IoT Market, by Application (2019-2032)
- 12.6 Europe Automotive IoT Market, by End-User (2019-2032)
- 12.7 Europe Automotive IoT Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC AUTOMOTIVE IOT MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Automotive IoT Market, by Type (2019-2032)
- 13.4 Asia-Pacific Automotive IoT Market, by Connectivity Form (2019-2032)
- 13.5 Asia-Pacific Automotive IoT Market, by Application (2019-2032)
- 13.6 Asia-Pacific Automotive IoT Market, by End-User (2019-2032)
- 13.7 Asia-Pacific Automotive IoT Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA AUTOMOTIVE IOT MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Automotive IoT Market, by Type (2019-2032)
- 14.4 South America Automotive IoT Market, by Connectivity Form (2019-2032)
- 14.5 South America Automotive IoT Market, by Application (2019-2032)
- 14.6 South America Automotive IoT Market, by End-User (2019-2032)
- 14.7 South America Automotive IoT Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA AUTOMOTIVE IOT MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Automotive IoT Market, by Type (2019-2032)
- 15.4 Middle East and Africa Automotive IoT Market, by Connectivity Form (2019-2032)
- 15.5 Middle East and Africa Automotive IoT Market, by Application (2019-2032)
- 15.6 Middle East and Africa Automotive IoT Market, by End-User (2019-2032)
- 15.7 Middle East and Africa Automotive IoT Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Automotive IoT Market, Company Share Analysis
- 16.2 North America Automotive IoT Market, Company Share Analysis
- 16.3 Europe Automotive IoT Market, Company Share Analysis
- 16.4 Asia-Pacific Automotive IoT Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 NXP Semiconductors N.V.
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 HARMAN International Industries, Inc.
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Robert Bosch GmbH
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Thales S.A.
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 IBM Corporation
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 Texas Instruments Incorporated
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 Microsoft Corporation
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 Intel Corporation
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 Verizon Communications Inc.
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 QUALCOMM Incorporated
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.