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

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

Automotive Data Management Market Growth & Trends

The global automotive data management market size is anticipated to reach USD 8.05 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 20.3% from 2022 to 2030. The market is gaining popularity owing to the increasing technological advancements in vehicles and the rise of autonomous and driverless vehicles.

The COVID-19 pandemic significantly impacted the growth of the market. The supply chain disruption negatively impacted the sale, delivery schedules, and manufacturing, which led to a notable drop in the sales of automobiles in 2020, thereby leading to a reduction in automotive data management demand as it is dependent on the demand and sales of the automotive industry. However, the demand for automotive data management is on the rise since 2021 due to an increase in connected vehicles.

Mergers & acquisitions, partnerships, agreements, and expansions are the key strategies being adopted by the companies. For instance, in April 2021, Amazon Web Services, Inc. (AWS) and Continental AG entered into a strategic collaboration. Through this long-term collaboration, Amazon Web Services, Inc. serves as the preferred cloud provider and it will help Continental AG in developing CAEdge, a modular hardware and software platform.

Automotive Data Management Market Report Highlights

  • Based on components, the software segment held the largest share in 2021 and is anticipated to retain its dominance over the forecast period. This is attributed to consumers' rising demand for customized software solutions for a better driving experience. Moreover, the constant technological advancements in the automotive industry are creating a potential growth opportunity for software
  • In terms of data type, the unstructured data segment is expected to expand at a CAGR of 19.3% in the forecast period. A large amount of unstructured data is captured by autonomous and non-autonomous vehicles through cameras, long-range and short-range radar, and LiDAR
  • The structured data segment is expected to expand at the fastest CAGR in the forecast period. The growth can be attributed to the increasing demand for structured automotive data from fleet owners and automotive players to enhance the design and performance of driverless cars
  • In terms of vehicle type, the non-autonomous segment held the largest revenue share of over 55.0% in 2021. The autonomous segment is expected to register the fastest growth rate over the forecast period. The growth of this autonomous segment can be attributed to the increase in the demand for driverless/autonomous cars and high investment by automotive manufacturers in R&D for driverless vehicles. In July 2020, dSPACE acquired Intempora, a renowned software company. This acquisition will help dSPACE in strengthening its comprehensive product line for autonomous driving
  • The cloud deployment segment is anticipated to grow at the fastest rate in the forecast period. The growth of the cloud segment can be attributed to the increasing use of cloud systems in the automotive industry owing to its advantages such as easy and effective management, image data maintenance, flexibility, agility, and scalability
  • In terms of application, the driver and user behavior analysis segment accounted for the largest revenue share of over 30.0% in 2021. Through driver and user behavior analysis, companies can discover the driving patterns of automobile operators and spot risky driving behavior to identify policy violations or unsafe practices
  • Asia Pacific is expected to grow at the highest rate of 24.0% in the forecast period. The growth can be attributed to the increasing technological advancements in the automotive sector in the region. In addition, China is one of the largest automotive markets in the world. Increasing production and sales of electric vehicles and the adoption of autonomous cars in the region are expected to drive the market in the future
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Chapter 1 Methodology and Scope
1.1 Research Methodology
1.2 Research Scope and Assumptions
1.3 List of Data Sources
1.4 Market Segmentation and Scope
Chapter 2 Executive Summary
2.1 Automotive Data Management Market - Industry Snapshot & Key Buying Criteria, 2017 - 2030
2.2 Global Automotive Data Management Market, 2017 - 2030
2.2.1 Global automotive data management market, by region, 2017 - 2030
2.2.2 Global automotive data management market, by component, 2017 - 2030
2.2.3 Global automotive data management market, by data type, 2017 - 2030
2.2.4 Global automotive data management market, by application, 2017 - 2030
2.2.5 Global automotive data management market, by deployment, 2017 - 2030
2.2.6 Global automotive data management market, by vehicle type, 2017 - 2030
Chapter 3 Automotive Data Management Industry Outlook
3.1 Parent Market Outlook
3.2 Market Size, Penetration, and Growth Prospect Mapping
3.3 Regulatory Scenario
3.4 Automotive Data Management Market - Market Dynamics
3.4.1 Market driver analysis
3.4.1.1 Technological advancements in vehicles
3.4.1.2 The rise of autonomous vehicles
3.4.2 Market challenge analysis
3.4.2.1 Increasing cyber security concerns to connected vehicles
3.4.3 Market opportunity analysis
3.4.3.1 Improvements in V2V and V2I communication
3.5 Automotive Data Management Market - PESTEL Analysis
3.6 Automotive Data Management Market - Porter’s Five Forces Analysis
3.7 Automotive Data Management Market COVID-19 Impact Analysis
Chapter 4 Automotive Data Management Component Outlook
4.1 Automotive Data Management Market Share By Component, 2021
4.2 Software
4.2.1 Automotive data management software market, 2017 - 2030
4.3 Services
4.3.1 Automotive data management services market, 2017 - 2030
Chapter 5 Automotive Data Management Data Type Outlook
5.1 Automotive Data Management Market Share By Data Type, 2021
5.2 Structured
5.2.1 Automotive data management structured market, 2017 - 2030
5.3 Unstructured
5.3.1 Automotive data management unstructured market, 2017 - 2030
Chapter 6 Automotive Data Management Vehicle Type Outlook
6.1 Automotive Data Management Market Share By Vehicle Type, 2021
6.2 Autonomous
6.2.1 Autonomous vehicles data management market, 2017 - 2030
6.3 Non-autonomous
6.3.1 Non-autonomous vehicles data managementmarket, 2017 - 2030
Chapter 7 Automotive Data Management Application Outlook
7.1 Automotive Data Management Market Share By Application, 2021
7.2 Predictive Maintenance
7.2.1 Automotive data management market, by predictive maintenance, 2017 - 2030
7.3 Warranty Analytics
7.3.1 Automotive data management market, by warranty analytics, 2017 - 2030
7.4 Safety & Security Management
7.4.1 Automotive data management market, by safety & security management, 2017 - 2030
7.5 Driver & User Behavior Analysis
7.5.1 Automotive data management market, by driver & user behavior analysis, 2017 - 2030
7.6 Dealer Performance Analysis
7.6.1 Automotive data management market, by dealer performance analysis, 2017 - 2030
Chapter 8 Automotive Data Management Deployment Outlook
8.1 Automotive Data Management Market Share By Deployment, 2021
8.2 On-premise
8.2.1 Automotive data management market, by on-premise, 2017 - 2030
8.3 Cloud
8.3.1 Automotive data management market, by cloud, 2017 - 2030
Chapter 9 Automotive Data Management Regional Outlook
9.1 Automotive Data Management Market Share By Region 2021
9.2 North America
9.2.1 North America automotive data management market, 2017 - 2030
9.2.2 North America automotive data management market, by component, 2017 - 2030
9.2.3 North America automotive data management market, by data type, 2017 - 2030
9.2.4 North America automotive data management market, by application, 2017 - 2030
9.2.5 North America automotive data management market, by deployment, 2017 - 2030
9.2.6 North America automotive data management market, by vehicle type, 2017 - 2030
9.2.7 U.S.
9.2.7.1 U.S. automotive data management market, 2017 - 2030
9.2.7.2 U.S. automotive data management market, by component, 2017 - 2030
9.2.7.3 U.S. automotive data management market, by data type, 2017 - 2030
9.2.7.4 U.S. automotive data management market, by application, 2017 - 2030
9.2.7.5 U.S. automotive data management market, by deployment, 2017 - 2030
9.2.7.6 U.S. automotive data management market, by vehicle type, 2017 - 2030
9.2.8 Canada
9.2.8.1 Canada automotive data management market, 2017 - 2030
9.2.8.2 Canada automotive data management market, by component, 2017 -2030
9.2.8.3 Canada automotive data management market, by data type, 2017 - 2030
9.2.8.4 Canada automotive data management market, by application, 2017 - 2030
9.2.8.5 Canada automotive data management market, by deployment, 2017 - 2030
9.2.8.6 Canada automotive data management market, by vehicle type, 2017 - 2030
9.3 Europe
9.3.1 Europe automotive data management market, 2017 - 2030
9.3.2 Europe automotive data management market, by component, 2017 - 2030
9.3.3 Europe automotive data management market, by data type, 2017 - 2030
9.3.4 Europe automotive data management market, by application, 2017 - 2030
9.3.5 Europe automotive data management market, by deployment, 2017 - 2030
9.3.6 Europe automotive data management market, by vehicle type, 2017 - 2030
9.3.7 U.K.
9.3.7.1 U.K. automotive data management market, 2017 - 2030
9.3.7.2 U.K. automotive data management market, by component, 2017 - 2030
9.3.7.3 U.K. automotive data management market, by data type, 2017 - 2030
9.3.7.4 U.K. automotive data management market, by application, 2017 - 2030
9.3.7.5 U.K. automotive data management market, by deployment, 2017 - 2030
9.3.7.6 U.K. automotive data management market, by vehicle type, 2017 - 2030
9.3.8 Germany
9.3.8.1 Germany automotive data management market, 2017 - 2030
9.3.8.2 Germany automotive data management market, by component, 2017 - 2030
9.3.8.3 Germany automotive data management market, by data type, 2017 - 2030
9.3.8.4 Germany automotive data management market, by application, 2017 - 2030
9.3.8.5 Germany automotive data management market, by deployment, 2017 - 2030
9.3.8.6 Germany automotive data management market, by vehicle type, 2017 - 2030
9.3.9 France
9.3.9.1 France automotive data management market, 2017 - 2030
9.3.9.2 France automotive data management market, by component, 2017 - 2030
9.3.9.3 France automotive data management market, by data type, 2017 - 2030
9.3.9.4 France automotive data management market, by application, 2017 - 2030
9.3.9.5 France automotive data management market, by deployment, 2017 - 2030
9.3.9.6 France automotive data management market, by vehicle type, 2017 - 2030
9.4 Asia Pacific
9.4.1 Asia Pacific automotive data management market, 2017 - 2030
9.4.2 Asia Pacific automotive data management market, by component, 2017 - 2030
9.4.3 Asia Pacific automotive data management market, by data type, 2017 - 2030
9.4.4 Asia Pacific automotive data management market, by application, 2017 - 2030
9.4.5 Asia Pacific automotive data management market, by deployment, 2017 - 2030
9.4.6 Asia Pacific automotive data management market, by vehicle type, 2017 - 2030
9.4.7 China
9.4.7.1 China automotive data management market, 2017 - 2030
9.4.7.2 China automotive data management market, by component, 2017 - 2030
9.4.7.3 China automotive data management market, by data type, 2017 - 2030
9.4.7.4 China automotive data management market, by application, 2017 - 2030
9.4.7.5 China automotive data management market, by deployment, 2017 - 2030
9.4.7.6 China automotive data management market, by vehicle type, 2017 - 2030
9.4.8 Japan
9.4.8.1 Japan automotive data management market, 2017 - 2030
9.4.8.2 Japan automotive data management market, by component, 2017 - 2030
9.4.8.3 Japan automotive data management market, by data type, 2017 - 2030
9.4.8.4 Japan automotive data management market, by application, 2017 - 2030
9.4.8.5 Japan automotive data management market, by deployment, 2017 - 2030
9.4.8.6 Japan automotive data management market, by vehicle type, 2017 - 2030
9.4.9 India
9.4.9.1 India automotive data management market, 2017 - 2030
9.4.9.2 India automotive data management market, by component, 2017 - 2030
9.4.9.3 India automotive data management market, by data type, 2017 - 2030
9.4.9.4 India automotive data management market, by application, 2017 - 2030
9.4.9.5 India automotive data management market, by deployment, 2017 - 2030
9.4.9.6 India automotive data management market, by vehicle type, 2017 - 2030
9.5 Latin America
9.5.1 Latin America automotive data management market, 2017 - 2030
9.5.2 Latin America automotive data management market, by component, 2017 - 2030
9.5.3 Latin America automotive data management market, by data type, 2017 - 2030
9.5.4 Latin America automotive data management market, by application, 2017 - 2030
9.5.5 Latin America automotive data management market, by deployment, 2017 - 2030
9.5.6 Latin America automotive data management market, by vehicle type, 2017 - 2030
9.5.7 Brazil
9.5.7.1 Brazil automotive data management market, 2017 - 2030
9.5.7.2 Brazil automotive data management market, by component, 2017 - 2030
9.5.7.3 Brazil automotive data management market, by data type, 2017 - 2030
9.5.7.4 Brazil automotive data management market, by application, 2017 - 2030
9.5.7.5 Brazil automotive data management market, by deployment, 2017 - 2030
9.5.7.6 Brazil automotive data management market, by vehicle type, 2017 - 2030
9.5.8 Mexico
9.5.8.1 Mexico automotive data management market, 2017 - 2030
9.5.8.2 Mexico automotive data management market, by component, 2017 - 2030
9.5.8.3 Mexico automotive data management market, by data type, 2017 - 2030
9.5.8.4 Mexico automotive data management market, by application, 2017 - 2030
9.5.8.5 Mexico automotive data management market, by deployment, 2017 - 2030
9.5.8.6 Mexico automotive data management market, by vehicle type, 2017 - 2030
9.6 MEA
9.6.1 MEA automotive data management market, 2017 - 2030
9.6.2 MEA automotive data management market, by component, 2017 - 2030
9.6.3 MEA automotive data management market, by data type, 2017 - 2030
9.6.4 MEA automotive data management market, by application, 2017 - 2030
9.6.5 MEA automotive data management market, by deployment, 2017 - 2030
9.6.6 MEA automotive data management market, by vehicle type, 2017 - 2030
Chapter 10 Competitive Analysis
10.1 Key Company Analysis
10.2 Vendor Landscape
10.3 Key Market Strategy
Chapter 11 Competitive Landscape
11.1 Sibros Technologies Inc.
11.1.1 Company overview
11.1.2 Financial performance
11.1.3 Product benchmarking
11.1.4 Strategic initiatives
11.2 Azuga
11.2.1 Company overview
11.2.2 Financial performance
11.2.3 Product benchmarking
11.2.4 Strategic initiatives
11.3 Microsoft
11.3.1 Company overview
11.3.2 Financial performance
11.3.3 Product benchmarking
11.3.4 Strategic initiatives
11.4 SAP SE
11.4.1 Company overview
11.4.2 Financial performance
11.4.3 Product benchmarking
11.4.4 Strategic initiatives
11.5 IBM
11.5.1 Company overview
11.5.2 Financial performance
11.5.3 Product benchmarking
11.5.4 Strategic initiatives
11.6 Amazon Web Services, Inc.
11.6.1 Company overview
11.6.2 Financial performance
11.6.3 Product benchmarking
11.6.4 Strategic initiatives
11.7 Otonomo
11.7.1 Company overview
11.7.2 Financial performance
11.7.3 Product benchmarking
11.8 AGNIK LLC
11.8.1 Company overview
11.8.2 Financial performance
11.8.3 Product benchmarking
11.9 PROCON ANALYTICS
11.9.1 Company overview
11.9.2 Financial performance
11.9.3 Product benchmarking
11.9.4 Strategic initiatives
11.10 Xevo
11.10.1 Company overview
11.10.3 Product benchmarking
Chapter 12 KOL Commentary
12.1 KoL Commentary

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