Global Automotive Data Management Market Research Report 2022

SKU ID :QYR-21177604 | Published Date: 29-Jun-2022 | No. of pages: 102
Market Analysis and Insights: Global Automotive Data Management Market
The innovative dynamic system of data management is a software born to coordinate and make available to the Garage, the information of the whole Automotive supply chain.Based on the Software, the Automotive Data Management Market is segmented into Data Security, Data Integration, Data Migration, and Data Quality. In 2021, the data security segment dominated with around 25% of the automotive data management market share, owing to an increase in cyberattacks across the automotive market. Because connected vehicles are equipped with advanced sensor systems such as Bluetooth, lighting system ECU, remote keys, and others that record useful and confidential vehicle data, they are more vulnerable to hacks. According to a MMR report study around 85 % of intrusions in autonomous vehicles were observed in the year 2021. Due to the increased deployment of current technologies such as cloud computing and IoT in the automotive market, the data integration sub-segment led the market by over 30% in 2021 & is expected to grow at a steady rate between 2022 & 2028. Because of the growing need for connected autos, the data migration industry is predicted to grow at a CAGR of around 25% through 2028. Furthermore, by the end of the review period, the data quality segment is expected to have grown significantly, with a market share of roughly 20%. The growing demand for better data analytics solutions to optimize vehicle performance is expected to boost segmentation adoption.
The global Automotive Data Management market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
Fully considering the economic change by this health crisis, Cloud accounting for % of the Automotive Data Management global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Passenger Car segment is altered to an % CAGR throughout this forecast period.
China Automotive Data Management market size is valued at US$ million in 2021, while the North America and Europe Automotive Data Management are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe Automotive Data Management landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period 2022-2028.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Automotive Data Management market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Automotive Data Management market in terms of revenue.
Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Automotive Data Management market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Automotive Data Management market.
Global Automotive Data Management Scope and Market Size
Automotive Data Management market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Automotive Data Management market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-2028.
Segment by Type
Cloud
On Premise
Segment by Application
Passenger Car
Commercial Vehicle
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
Acerta
Agnic
Amazone Web Services
AMO Foundation
Amodo
Caruso Gmbh
ETL Solution Ltd
Teradat Tech
Vinli
HEAVY.AI
IBM Corporation
Intellias
National Instrument Corp
Netapp
Otonomo Tech Ltd
SAP SE
Sibros Tech
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