Automotive Data Management Market - By Component (Software, Service), By Data Type (Unstructured, Semi-structured and Structured), By Vehicle Type (Autonomous, Non-autonomous), By Deployment (On-premise, Cloud), By Application & Forecast, 2022-2028

Industry Trends

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.

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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.
 

Automotive data management software is set to dominate the overall market share in Canada

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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.
 

Increasing demand for connected & autonomous vehicles is supporting the semi-structured and structured data type segment progression in the UK region

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.
 

Non-autonomous vehicle type segment to grow significantly in China

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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 growing adoption of cloud computing in the automotive sector is accelerating the market value

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.
 

In India, predictive maintenance application to generate substantial revenue

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 America region will dominate the overall market progression

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.
 

Innovative automotive data management solution development is the key market strategy adopted by the leading industry players

Major companies operating in the automotive data management market are Acerta Analytics Solutions, Inc., Agnik, LLC, Amazon Web Services, Inc., AMO Foundation, Amodo D.o.o, Caruso GmbH, ETL Solutions Limited, HEAVY.AI, IBM Corporation, Intellias, National Instruments Corporation, NetApp, Inc., Otonomo Technologies Ltd., SAP SE, Sibros Technologies, Inc., Teradata Corporation, Vinli, Inc., and WEJO Limited. These leaders are emphasizing on the development of innovative automotive data management solutions & services.
 

This market research report on automotive data management includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2028 for the following segments:

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Market, By Component

• Software
  • Data Security
  • Data Integration
  • Data Migration
  • Data Quality
• Service
  • Professional Service
  • Managed Service

Market, By Data Type

• Unstructured
• Semi-structured and Structured

Market, By Vehicle Type

• Non-autonomous
• Autonomous

Market, By Deployment

• On-premise
• Cloud

Market, By Application

• Predictive Maintenance
• Warranty Analytics
• Safety and Security Management
• Driver and User Behavior Analysis
• Dealer Performance Analysis
• Others

The above information has been provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Singapore
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • South Africa
  • UAE
  • Saudi Arabia
  • Israel