Automotive Data Management Market Size, Share & Trends Analysis Report By Component (Software, Services), By Data Type, By Vehicle Type, By Deployment, By Application, By Region, And Segment Forecasts, 2022 - 2030

Report Overview

The global automotive data management market size was valued at USD 1.58 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 20.3% from 2022 to 2030. The market is gaining popularity owing to the increasing demand for connected and autonomous cars worldwide. In addition, technological advancements such as the launch of AI-based applications, machine learning, big data, and the Internet of Things (IoT) are expected to accelerate industry growth. The COVID-19 pandemic affected the industry growth. In 2020, governments were forced to seal international borders and temporarily close markets, industries, and other public places due to the pandemic. The closure of manufacturing plants in the regions resulted in a loss of revenue and business, which financially impacted businesses.

The supply chain disruption negatively impacted the sale, delivery schedules, and manufacturing, which led to a notable drop in sales of automobiles in 2020, thereby leading to a reduction of automotive data management demand as it is dependent on the demand and sales of the automotive industry.  However, the introduction of the 5G, the Internet of Things (IoT), and Artificial Intelligence (AI) technology along with advanced technologies, such as machine learning and big data, is anticipated to provide automakers with tools for accurate automotive data. The market is expected to recover quickly and reach pre-COVID levels over the forecast period.

The U.S. captured the largest share in North America in 2021 and is expected to retain its position over the forecast period. This is attributed to the presence of major market vendors such as Amazon Web Services Inc.; IBM; Microsoft; Sibros Technologies Inc.; Intellias; and National Instruments Corp. Also, the high adoption of advanced technologies and government schemes in the region is expected to support automotive data management companies.

Component Insights

The software segment accounted for the largest revenue share of over 75.0% in 2021 and is expected to continue to retain its position over the forecast period. This is attributed to the increasing demand and adoption of automotive software among end-users such as fleet owners, transportation and logistics companies, and automotive manufacturers. The information gathered from the automotive data management platform helps to track information such as fuel consumption, fleet visibility with telematics, and maintenance updates from other systems. By using this information, managers can analyze metrics and make decisions based on current figures. Based on component, the market has been segmented into software and services.

The service segment is expected to grow at a rate of 21.7% over the forecast period. Automotive data management service includes managed services and subscription-based services. The growing demand for customized value-added data management services among end-users such as automotive dealers, automotive manufacturers, and fleet owners is expected to propel the segment growth over the forecast period. Automotive data management services help in improving vehicle performance and provide scalability, insights, and accessibility to enterprises with centralized storage, thus helping them to enhance customer experiences.

Data Type Insights

The structured data segment accounted for the largest revenue share of over 55.0% in 2021 and is expected to continue to maintain its lead over the forecast period. Structured data is highly organized data that can be processed, stored, and retrieved smoothly by simple search engine algorithms. The growth of this segment can be attributed to the increasing demand for structured data by automotive manufacturers to enhance the design of driverless cars. Based on data type, the market has been segmented into structured data and unstructured data.

The unstructured data segment is expected to expand at a CAGR of 19.3% over the forecast period.  A large amount of unstructured data is gathered by autonomous, connected, and non-autonomous vehicles through LiDAR and other sensors. Automotive market players are adopting cloud technologies to store vehicle unstructured data in the cloud. Unstructured data is helpful in the further development of driverless cars.

Vehicle Type Insights

The non-autonomous segment dominated the market and accounted for over 55.0% share in 2021. The non-autonomous segment is expected to retain its position over the forecast period. The non-autonomous vehicles are unable to function without human intervention. In non-autonomous vehicles, automotive data management has found application in connected cars. Connected cars generate data based on speed, engine status, and distance travel among other variables. The data derived from the electric control unit, infotainment system, and controller access network of the vehicle contributes to making the driving experience better. The data collected can be used for predictive management, in-car payments, traffic management, usage-based insurance, fleet management, and roadside assistance among others. Based on vehicle type, the market has been segmented into autonomous and non-autonomous vehicles.

The autonomous segment is expected to grow at a rate of 21.0% over the forecast period. The growth of this segment can be attributed to the increasing development in adaptive algorithms, sensor-processing technologies, high-definition mapping, and the placement of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication technologies. All these technologies are encouraging numerous companies to magnify their manufacturing capabilities and navigate vehicle automation to an elevated level. Technologies such as cloud computing and artificial intelligence (AI) are now extensively used in autonomous cars for better functionality.

Deployment Insights

The cloud segment accounted for the largest revenue share of over 60.0% in 2021 and is expected to continue to maintain its lead over the forecast period. Cloud technology is gaining popularity in both connected and driverless vehicles. Based on deployment, the market has been segmented into on-premise and cloud.

The adoption of cloud technologies is reshaping the automotive industry by providing improved cost-efficiency, increased reliability, faster time-to-market facility, and better scalability. Various software developers are investing in cloud-based technologies for the auto industry. For instance, in November 2021, Amazon Web Services, Inc. launched its new cloud-based data service “AWS FleetWise”. It allows automotive manufacturers to gather and retrieve telemetry and sensor data from their vehicle fleets.

The on-premise segment is expected to grow at a rate of 18.6% over the forecast period. On-premise software is installed on physical hardware that is owned by an organization, located on the physical premises of the organization, and usually in the organization’s own data center. With on-premise, IT staff has more control over the server hardware and the data configuration, security, and management because it can access the data physically.

Application Insights

The driver and user behavior analysis segment accounted for the largest revenue share of over 30.0% in 2021 and is expected to continue to maintain its dominance over the forecast period. The growth of this segment can be attributed to the several techniques which are employed, including monitoring the driver’s physical condition such as facial recognition, physical features monitoring, collecting navigation data using onboard telematics, and driving styles assessment. Based on application, the market has been segmented into predictive maintenance, warrant analysis, safety and security management, driver and user behavior analysis, and dealer performance analysis.

The predictive maintenance segment is anticipated to expand at a CAGR of 20.7% over the assessment period. The growth of this segment can be attributed to the increasing demand and adoption of predictive maintenance solutions by the automotive sector as it predicts automobile issues and informs the owner about important maintenance requirements before a failure occurs.

Regional Insights

North America accounted for the largest revenue share of over 35.0% in 2021 and is anticipated to retain its position over the forecast period. Factors such as the presence of major market vendors, significant disposable incomes, demand for new vehicles, and the high adoption of advanced technologies in the region are driving the market in the region. Furthermore, improvements in traffic regulations in the U.S. that allow autonomous vehicles to interact on roads and highways have led to increased testing and use of self-driving cars, which, in turn, is expected to raise the demand for automotive data management in the region.

Europe is anticipated to expand at the highest rate of 19.4% over the forecast period. The growth of the regional market is mainly due to advancements in vehicle electronics layout, increased car production, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) innovations, rising connected automobiles, and the expansion of key OEMs. Europe significantly contributes to the growth of the connected automobiles market. Moreover, industry players in the region are developing advanced and innovative car data management products and services for customers.

Key Companies & Market Share Insights

The market has a fragmented competitive landscape as it features various global and regional market players. Leading industry players are adopting strategies such as partnerships, acquisitions & mergers, collaborations, and strategic agreements to survive the highly competitive environment and expand their business footprints globally. For instance, in March 2022, ACTIA and Sibros Technologies Inc. entered into a strategic partnership of software and hardware for ACU6 telematics platform. This collaborative solution is expected to enhance connected vehicle design and innovation for OEM automakers across motorcycle vehicles, heavy-duty trucking, and light passenger segments. Some prominent players in the global automotive data management market include:

• Sibros Technologies Inc.

• Azuga

• Microsoft

• SAP SE

• IBM

• Amazon Web Services, Inc.

• Otonomo

• AGNIK LLC

• PROCON ANALYTICS

• Xevo

Automotive Data Management Market Report Scope

Global Automotive Data Management Market Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global automotive data management market report based on component, data type, vehicle type, deployment, application, and region:

• Component Outlook (Revenue, USD Million, 2017 - 2030)

  • Software

  • Service

• Data Type Outlook (Revenue, USD Million, 2017 - 2030)

  • Structured

  • Unstructured

• Vehicle Type Outlook (Revenue, USD Million, 2017 - 2030)

  • Autonomous

  • Non-autonomous

• Deployment Outlook (Revenue, USD Million, 2017 - 2030)

  • On-premise

  • Cloud

• Application Outlook (Revenue, USD Million, 2017 - 2030)

  • Predictive Maintenance

  • Warranty Analytics

  • Safety & Security Management

  • Driver & User Behavior Analysis

  • Dealer Performance Analysis

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

  • Europe

    • U.K.

    • Germany

    • France

  • Asia Pacific

    • China

    • India

    • Japan

  • Latin America

    • Brazil

    • Mexico

  • Middle East & Africa