1 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: 2017 VS 2021 VS 2028

1.2.2 Cloud

1.2.3 On Premise

1.3 Market by Application

1.3.1 Global Automotive Data Management Market Share by Application: 2017 VS 2021 VS 2028

1.3.2 Passenger Car

1.3.3 Commercial Vehicle

1.4 Study Objectives

1.5 Years Considered

2 Global Growth Trends

• 2.1 Global Automotive Data Management Market Perspective (2017-2028)
• 2.2 Automotive Data Management Growth Trends by Region
• 2.2.1 Automotive Data Management Market Size by Region: 2017 VS 2021 VS 2028

2.2.2 Automotive Data Management Historic Market Size by Region (2017-2022)

2.2.3 Automotive Data Management Forecasted Market Size by Region (2023-2028)

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 (2017-2022)

3.1.2 Global Automotive Data Management Revenue Market Share by Players (2017-2022)

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 2021

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 (2017-2022)
• 4.2 Global Automotive Data Management Forecasted Market Size by Type (2023-2028)

5 Automotive Data Management Breakdown Data by Application

• 5.1 Global Automotive Data Management Historic Market Size by Application (2017-2022)
• 5.2 Global Automotive Data Management Forecasted Market Size by Application (2023-2028)

6 North America

• 6.1 North America Automotive Data Management Market Size (2017-2028)
• 6.2 North America Automotive Data Management Market Size by Country (2017-2022)
• 6.3 North America Automotive Data Management Market Size by Country (2023-2028)
• 6.4 United States
• 6.5 Canada

7 Europe

• 7.1 Europe Automotive Data Management Market Size (2017-2028)
• 7.2 Europe Automotive Data Management Market Size by Country (2017-2022)
• 7.3 Europe Automotive Data Management Market Size by Country (2023-2028)
• 7.4 Germany
• 7.5 France
• 7.6 U.K.
• 7.7 Italy
• 7.8 Russia
• 7.9 Nordic Countries

8 Asia-Pacific

• 8.1 Asia-Pacific Automotive Data Management Market Size (2017-2028)
• 8.2 Asia-Pacific Automotive Data Management Market Size by Country (2017-2022)
• 8.3 Asia-Pacific Automotive Data Management Market Size by Country (2023-2028)
• 8.4 China
• 8.5 Japan
• 8.6 South Korea
• 8.7 Southeast Asia
• 8.8 India
• 8.9 Australia

9 Latin America

• 9.1 Latin America Automotive Data Management Market Size (2017-2028)
• 9.2 Latin America Automotive Data Management Market Size by Country (2017-2022)
• 9.3 Latin America Automotive Data Management Market Size by Country (2023-2028)
• 9.4 Mexico
• 9.5 Brazil

10 Middle East & Africa

• 10.1 Middle East & Africa Automotive Data Management Market Size (2017-2028)
• 10.2 Middle East & Africa Automotive Data Management Market Size by Country (2017-2022)
• 10.3 Middle East & Africa Automotive Data Management Market Size by Country (2023-2028)
• 10.4 Turkey
• 10.5 Saudi Arabia
• 10.6 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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

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 (2017-2022)

11.17.5 Sibros Tech 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

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.
Industry Insights

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.

Impact of Covid-19 Outbreak

This section of the report has explored the overall status of the Covid scenario and has offered valuable insights into the changes in supply chain disruption, fluctuations in demand, etc. The analysts have also focused on the key measures that the companies are opting to withstand the harsh scenario.

Segmental Analysis

The report has been segmented into product and application segments. The researchers have documented all the products present today in the Automotive Data Management market. They have also shed light on the new product innovations and launches by the key players. In the segmental analysis, the analysts have provided revenue forecast figures based on type and application for the period 2017-2028. They have also discussed about the growth rate and potential of each segment for the period 2017-2028.

Automotive Data Management Breakdown Data by Type

Cloud

On Premise

Automotive Data Management Breakdown Data by Application

Passenger Car

Commercial Vehicle

Regional Analysis

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

Competitive Landscape

This segment focuses on the key players operating in the industry. It underlines all the current and future activities by the prominent manufacturers. By understanding various initiatives being taken up by different players, readers will gain the ability to settle on correct business choices. The authors of the report have provided accurate revenue figures of the companies for the period 2017-2022. The clients are sure to gain the upper hand once they get hold of this report. Key players studied in the research report include:

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

Frequently Asked Questions

What factors will challenge the Automotive Data Management market growth?

Which end-use segment will expand at the fastest CAGR in the Automotive Data Management market?

Which are the emerging players in the Automotive Data Management market?

How concentrated is the Automotive Data Management market?

Which factors are positively contributing to the Automotive Data Management market growth?

Which are the novel product innovations in the Automotive Data Management market?

Which product segment will emerge as the most lucrative in the Automotive Data Management market?

Which factors are increasing the competition in the Automotive Data Management market?

Which are the strategic measures taken by the Automotive Data Management industry players?

Which region will witness inactive growth during the forecast period?

What key trends are likely to emerge in the Automotive Data Management market in the coming years?