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Automotive Data Management Market size exceeded USD 900 million in 2021 and is projected to expand at over 20% CAGR from 2022 to 2028. The market growth is attributed to the rising demand for the integration of advanced technologies, such as AI, ML & data analytics, across the automotive sector.
Automotive OEMs are emphasizing on AI & ML applications, data analytics tools, cloud computing, and V2V connectivity to facilitate the driving experience. Industry leaders are focusing on the development of advanced automotive data management solutions with strategic collaborations. Companies integrate multiple advanced technologies into several comfort & safety systems, such as ADAS and lane-keeping & control systems, to aid drivers and enhance the driving experience.
The pandemic has slowed the market demand for connected & autonomous vehicles in the globe. Various countries including India, Germany, and Italy have reported a huge decline in the car market. A decline in automotive demand has hampered the industry value for automotive data management solutions.
Report Attribute | Details |
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Base Year: | 2021 |
Automotive Data Management Market Size in 2021: | 900 Million (USD) |
Forecast Period: | 2022 to 2028 |
Forecast Period 2022 to 2028 CAGR: | 20% |
2028 Value Projection: | 4 Billion (USD) |
Historical Data for: | 2018 to 2020 |
No. of Pages: | 382 |
Tables, Charts & Figures: | 518 |
Segments covered: | Component, Data Type, Vehicle Type, Deployment, Application and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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In Canada, automotive data management software market accounted for 75% of revenue share in 2021 due to the rising demand for customized data management solutions across various end-users such as OEMs, service providers, insurers, and others. Automotive companies are extensively using advanced data management solutions, such as data security, data integration, data migration, and data quality, to improve their vehicle performance and provide an enhanced customer experience. It offers several benefits such as improved vehicle quality, operational efficiency, reduced product recalls, improved cybersecurity response time, complexity management, and end-to-end security.
In the UK, the semi-structured and structured data type is predicted to observe a 25% growth rate till 2028 impelled by the growing demand for connected vehicles and autonomous vehicle technologies. The AI and machine learning techniques need to be stored in vehicles in the form of structured data to function like human intelligence. Advancements in big data concepts have helped automakers to store structured & semi-structured data effectively in vehicles so that the vehicle itself collects, stores, analyzes & compares the data to make a sensible output from it and to take decisions like humans.
In China, non-autonomous vehicles dominated more than 70% of the automotive data management market in 2021 propelled by the integration of various advanced technologies for various automotive applications such as in-vehicle payment, parking assistance, advanced car infotainment, voice assistance, GPS, and entertainment. The automotive ecosystem includes OEMs, suppliers, dealers, insurers, fleets, tech players, and end-users. To simplify the ecosystem process, data management software plays a critical role, which again will boost the customer satisfaction ratio.
In Germany, the cloud deployment model of automotive data management solutions is anticipated to grow at a CAGR of 20% by 2028 owing to the increasing usage of advanced cloud technologies in the automotive sector. Cloud technology is popular in both autonomous and non-autonomous vehicle systems. The acceptance of cloud technology is reshaping the automobile industry by providing improved cost-efficiency, better scalability, increased reliability, and faster time-to-market facility. Different software giants are investing in cloud-based technologies for the auto industry.
Indian automotive data management market for predictive maintenance application segment is estimated to reach USD 40 million by 2028 on account of the growing adoption of IoT & data analytics technologies in the automotive sector. Predictive maintenance helps in predicting and identifying major vehicle issues. It offers several advanced features such as end-to-end service operations, improved vehicle performance, cost-saving, and improved reliability. Predictive maintenance applications also provide roadside assistance, track vehicle health, and enhance security.
North American automotive data management market is slated to cross USD 1 billion by 2028 due to the presence of several automakers & software-developing giants including Tesla, Nvidia Corporation, General Motors, Microsoft, Apple, and Ford in the region. These automakers and software giants are investing extensively in automotive software to develop autonomous technology solutions.
Major companies operating in the automotive data management market are
These leaders are emphasizing on the development of innovative automotive data management solutions & services.
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Market, By Component
Market, By Data Type
Market, By Vehicle Type
Market, By Deployment
Market, By Application
The above information has been provided for the following regions and countries: