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Global Automotive Data Management Market Research Report 2024
Synopsis
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.
Global Automotive Data Management market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automotive Data Management market research.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automotive Data Management market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
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
Microsoft
Azuga
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
The Automotive Data Management report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
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.
Global Automotive Data Management market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automotive Data Management market research.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automotive Data Management market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
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
Microsoft
Azuga
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
The Automotive Data Management report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automotive Data Management Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud
1.2.3 On Premise
1.3 Market by Application
1.3.1 Global Automotive Data Management Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Passenger Car
1.3.3 Commercial Vehicle
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automotive Data Management Market Perspective (2018-2029)
2.2 Automotive Data Management Growth Trends by Region
2.2.1 Global Automotive Data Management Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Automotive Data Management Historic Market Size by Region (2018-2023)
2.2.3 Automotive Data Management Forecasted Market Size by Region (2024-2029)
2.3 Automotive Data Management Market Dynamics
2.3.1 Automotive Data Management Industry Trends
2.3.2 Automotive Data Management Market Drivers
2.3.3 Automotive Data Management Market Challenges
2.3.4 Automotive Data Management Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automotive Data Management Players by Revenue
3.1.1 Global Top Automotive Data Management Players by Revenue (2018-2023)
3.1.2 Global Automotive Data Management Revenue Market Share by Players (2018-2023)
3.2 Global Automotive Data Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automotive Data Management Revenue
3.4 Global Automotive Data Management Market Concentration Ratio
3.4.1 Global Automotive Data Management Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automotive Data Management Revenue in 2022
3.5 Automotive Data Management Key Players Head office and Area Served
3.6 Key Players Automotive Data Management Product Solution and Service
3.7 Date of Enter into Automotive Data Management Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automotive Data Management Breakdown Data by Type
4.1 Global Automotive Data Management Historic Market Size by Type (2018-2023)
4.2 Global Automotive Data Management Forecasted Market Size by Type (2024-2029)
5 Automotive Data Management Breakdown Data by Application
5.1 Global Automotive Data Management Historic Market Size by Application (2018-2023)
5.2 Global Automotive Data Management Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Automotive Data Management Market Size (2018-2029)
6.2 North America Automotive Data Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Automotive Data Management Market Size by Country (2018-2023)
6.4 North America Automotive Data Management Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automotive Data Management Market Size (2018-2029)
7.2 Europe Automotive Data Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Automotive Data Management Market Size by Country (2018-2023)
7.4 Europe Automotive Data Management Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automotive Data Management Market Size (2018-2029)
8.2 Asia-Pacific Automotive Data Management Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Automotive Data Management Market Size by Region (2018-2023)
8.4 Asia-Pacific Automotive Data Management Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automotive Data Management Market Size (2018-2029)
9.2 Latin America Automotive Data Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Automotive Data Management Market Size by Country (2018-2023)
9.4 Latin America Automotive Data Management Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automotive Data Management Market Size (2018-2029)
10.2 Middle East & Africa Automotive Data Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Automotive Data Management Market Size by Country (2018-2023)
10.4 Middle East & Africa Automotive Data Management Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Acerta
11.1.1 Acerta Company Detail
11.1.2 Acerta Business Overview
11.1.3 Acerta Automotive Data Management Introduction
11.1.4 Acerta Revenue in Automotive Data Management Business (2018-2023)
11.1.5 Acerta Recent Development
11.2 Agnic
11.2.1 Agnic Company Detail
11.2.2 Agnic Business Overview
11.2.3 Agnic Automotive Data Management Introduction
11.2.4 Agnic Revenue in Automotive Data Management Business (2018-2023)
11.2.5 Agnic Recent Development
11.3 Amazone Web Services
11.3.1 Amazone Web Services Company Detail
11.3.2 Amazone Web Services Business Overview
11.3.3 Amazone Web Services Automotive Data Management Introduction
11.3.4 Amazone Web Services Revenue in Automotive Data Management Business (2018-2023)
11.3.5 Amazone Web Services Recent Development
11.4 AMO Foundation
11.4.1 AMO Foundation Company Detail
11.4.2 AMO Foundation Business Overview
11.4.3 AMO Foundation Automotive Data Management Introduction
11.4.4 AMO Foundation Revenue in Automotive Data Management Business (2018-2023)
11.4.5 AMO Foundation Recent Development
11.5 Amodo
11.5.1 Amodo Company Detail
11.5.2 Amodo Business Overview
11.5.3 Amodo Automotive Data Management Introduction
11.5.4 Amodo Revenue in Automotive Data Management Business (2018-2023)
11.5.5 Amodo Recent Development
11.6 Caruso Gmbh
11.6.1 Caruso Gmbh Company Detail
11.6.2 Caruso Gmbh Business Overview
11.6.3 Caruso Gmbh Automotive Data Management Introduction
11.6.4 Caruso Gmbh Revenue in Automotive Data Management Business (2018-2023)
11.6.5 Caruso Gmbh Recent Development
11.7 ETL Solution Ltd
11.7.1 ETL Solution Ltd Company Detail
11.7.2 ETL Solution Ltd Business Overview
11.7.3 ETL Solution Ltd Automotive Data Management Introduction
11.7.4 ETL Solution Ltd Revenue in Automotive Data Management Business (2018-2023)
11.7.5 ETL Solution Ltd Recent Development
11.8 Teradat Tech
11.8.1 Teradat Tech Company Detail
11.8.2 Teradat Tech Business Overview
11.8.3 Teradat Tech Automotive Data Management Introduction
11.8.4 Teradat Tech Revenue in Automotive Data Management Business (2018-2023)
11.8.5 Teradat Tech Recent Development
11.9 Vinli
11.9.1 Vinli Company Detail
11.9.2 Vinli Business Overview
11.9.3 Vinli Automotive Data Management Introduction
11.9.4 Vinli Revenue in Automotive Data Management Business (2018-2023)
11.9.5 Vinli Recent Development
11.10 HEAVY.AI
11.10.1 HEAVY.AI Company Detail
11.10.2 HEAVY.AI Business Overview
11.10.3 HEAVY.AI Automotive Data Management Introduction
11.10.4 HEAVY.AI Revenue in Automotive Data Management Business (2018-2023)
11.10.5 HEAVY.AI Recent Development
11.11 IBM Corporation
11.11.1 IBM Corporation Company Detail
11.11.2 IBM Corporation Business Overview
11.11.3 IBM Corporation Automotive Data Management Introduction
11.11.4 IBM Corporation Revenue in Automotive Data Management Business (2018-2023)
11.11.5 IBM Corporation Recent Development
11.12 Intellias
11.12.1 Intellias Company Detail
11.12.2 Intellias Business Overview
11.12.3 Intellias Automotive Data Management Introduction
11.12.4 Intellias Revenue in Automotive Data Management Business (2018-2023)
11.12.5 Intellias Recent Development
11.13 National Instrument Corp
11.13.1 National Instrument Corp Company Detail
11.13.2 National Instrument Corp Business Overview
11.13.3 National Instrument Corp Automotive Data Management Introduction
11.13.4 National Instrument Corp Revenue in Automotive Data Management Business (2018-2023)
11.13.5 National Instrument Corp Recent Development
11.14 Netapp
11.14.1 Netapp Company Detail
11.14.2 Netapp Business Overview
11.14.3 Netapp Automotive Data Management Introduction
11.14.4 Netapp Revenue in Automotive Data Management Business (2018-2023)
11.14.5 Netapp Recent Development
11.15 Otonomo Tech Ltd
11.15.1 Otonomo Tech Ltd Company Detail
11.15.2 Otonomo Tech Ltd Business Overview
11.15.3 Otonomo Tech Ltd Automotive Data Management Introduction
11.15.4 Otonomo Tech Ltd Revenue in Automotive Data Management Business (2018-2023)
11.15.5 Otonomo Tech Ltd Recent Development
11.16 SAP SE
11.16.1 SAP SE Company Detail
11.16.2 SAP SE Business Overview
11.16.3 SAP SE Automotive Data Management Introduction
11.16.4 SAP SE Revenue in Automotive Data Management Business (2018-2023)
11.16.5 SAP SE Recent Development
11.17 Sibros Tech
11.17.1 Sibros Tech Company Detail
11.17.2 Sibros Tech Business Overview
11.17.3 Sibros Tech Automotive Data Management Introduction
11.17.4 Sibros Tech Revenue in Automotive Data Management Business (2018-2023)
11.17.5 Sibros Tech Recent Development
11.18 Microsoft
11.18.1 Microsoft Company Detail
11.18.2 Microsoft Business Overview
11.18.3 Microsoft Automotive Data Management Introduction
11.18.4 Microsoft Revenue in Automotive Data Management Business (2018-2023)
11.18.5 Microsoft Recent Development
11.19 Azuga
11.19.1 Azuga Company Detail
11.19.2 Azuga Business Overview
11.19.3 Azuga Automotive Data Management Introduction
11.19.4 Azuga Revenue in Automotive Data Management Business (2018-2023)
11.19.5 Azuga Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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