The global automotive data management market accounted for US$ 920 Mn in 2021 and is expected to reach US$ 4,807 Mn by 2030 with a considerable CAGR of 20.5% during the forecast timeframe of 2022 to 2030.
As software has incorporated more functions, automotive systems have advanced from traditional electromechanical engineering technologies to software-intensive technologies in recent years. As more software is deployed, more data is produced and must be delivered to consumers or automakers efficiently. Consumers believe that establishing a data management system in existing automobiles is vital because such data could previously not be controlled independently with software. However, the extraordinary versatility of the automotive data management system provides comprehensive management of client information and the history of automotive interventions. Furthermore, the rising deployment of advanced data analytics solutions is expected to boost the growth of the automotive data management market throughout the forecast period.Drivers
- The rise of self-driving cars
- Rising number of electronic products in autonomous vehicles
- Increased investment in the automobile industry
- Innovative technology for sophisticated user interface management
Restraints
- Steadily increasing cyber security concerns to connected vehicles
- Maintenance and troubleshooting of automobile data management software
Opportunity
- Improvements in V2V and V2I communication, as well as an increase in the number of connected vehicles
Report Coverage
Market |
Automotive Data Management Market |
Market Size 2021 |
US$ 920 Mn |
Market Forecast 2028 |
US$ 4,807 Mn |
CAGR |
20.5% During 2022 - 2030 |
Analysis Period |
2018 - 2030 |
Base Year |
2021 |
Forecast Data |
2022 - 2030 |
Segments Covered |
By Component, By Data Type, By Vehicle Type, By Deployment, By Application, And By Geography
|
Regional Scope |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
Key Companies Profiled |
Acerta Analytics Solutions, Inc., Caruso GmbH, AMO Foundation, Amodo D.o.o, Amazon Web Services, Inc., IBM Corporation, ETL Solutions Limited, SAP SE, Teradata Corporation, Otonomo Technologies Ltd., National Instruments Corporation, and Sibros Technologies, Inc. |
Report Coverage
|
Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis |
Customization Scope |
10 hrs of free customization and expert consultation
|
Automotive Data Management Market Dynamics
The rising demand for current technologies such as automation, artificial intelligence, and database management in the automotive sector is driving market expansion. To improve the driving experience, automobile Manufacturers are focusing on AI & ML technologies, cloud technologies, database analytics tools, and V2V connectivity. Industry professionals working on the creation of innovative automotive data management systems through strategic collaboration are driving market size. To assist drivers and improve the driving experience, businesses use a variety of modern features in a variety of comfort and safety systems, such as advanced driver assistance, lane-keeping, and process management. With the government's assistance in protecting vehicle security and safety, the market revenue for automotive data management is gradually expanding. Furthermore, one of the main factors leading to the global expansion of automotive data management is the world's constantly rising vehicle fleet size.
However, the COVID-19 outbreak has emerged as a significant hindrance, with the vehicle industry facing a significant reduction in 2020 as a result of global lockdown and curfew, particularly in Asia and Europe. As a result, market growth is hampered throughout this time period.
Market Segmentation
The global automotive data management market segmentation based on the component, data type, vehicle type, deployment, application and geography.
Market By Component
- Software
- Data Security
- Data Migration
- Data Integration
- Data Quality
- Service
- Professional Service
- Managed Service
In terms of components, the software segment is expected to have the largest market share in 2021. This expansion is being fueled by consumers' rising demand for customized software solutions for a better driving experience. Furthermore, the constant technological improvement in the auto industry is creating a potential opportunity for growth for software providers, resulting in a continuous increase in the market share of software segments in automotive data management. Furthermore, connected automobiles with modern sensing devices such as lighting system ECU, Bluetooth, remote controls, and others that save useful and sensitive data of the vehicles are employed the potential software to manage such technologies.
Market By Data Type
- Unstructured
- Semi-structured and Structured
Based on data type, the semi-structured and structured segments are expected to grow considerably in the market over the next few years. This expansion is being driven by the rising demand for autonomous and connected vehicle technologies. To perform like human intelligence, Machine learning, and artificial intelligence approaches must be stored in vehicles as structured data. Furthermore, developments in big data techniques have enabled manufacturers to effectively store structured and semi-structured data in automobiles, allowing the vehicle to save, gather, analyze, and compare data to provide significant productivity and make consumer-like judgments.
Market By Vehicle Type
- Non-autonomous
- Autonomous
Based on vehicle type, the autonomous segment is expected to grow at the fastest rate in the industry over the projected years. Autonomous vehicles are connected self-driving cars that can function and execute important tasks without the need for human intervention because of their ability to recognize their surroundings. It primarily detects the surroundings and navigates by generating a dynamic 3D mapping of that environment using artificial intelligence algorithms, light detection and range, radio radars, and camera systems. Furthermore, the incorporation of several sophisticated technologies for various automotive applications such as parking assistance, advanced car multimedia, in-vehicle payment, voice assistance, GPS, and infotainment generate significant data that will propel the autonomous segment in the global market in the coming years.
Market By Deployment
In terms of deployment, the cloud segment will lead the market in 2021. Cloud computing is commonly employed in both autonomous as well as non-autonomous automobiles. Cloud computing is reshaping the automotive sector by improving scalability, cost-efficiency, dependability, and time-to-market. Furthermore, cloud technology is one of the key technological factors transforming the automotive business landscape. It provides essential insights, increases efficiencies, and allows for the development of new, agile business models across the value chain. Using cloud-based technology, automakers and users may access any advanced features of the cars from anywhere and obtain real-time data monitoring.
Market By Application
- Predictive Maintenance
- Safety and Security Management
- Dealer Performance Analysis
- Warranty Analytics
- Driver and User Behavior Analysis
- Others
Based on the application, the predictive maintenance segment is expected to lead the market in 2021. Predictive maintenance is the use of data-driven maintenance strategy approaches to analyze the condition of equipment and predict when repairs should be performed. Predictive maintenance technologies include non-destructive analysis techniques such as acoustic, infrared, corona detection, sound level measurements, oil analysis, vibration analysis, and thermal imaging proactive maintenance, which estimates and gathers process and hardware actual data via wireless sensor networks. However, due to such characteristics, the predictive maintenance segment will drive the market in the coming years.
Automotive Data Management Market Regional Overview
North America
Europe
- U.K.
- Germany
- France
- Spain
- Rest of Europe
Latin America
- Mexico
- Brazil
- Rest of Latin America
Asia-Pacific
- India
- Japan
- China
- Australia
- South Korea
- Rest of Asia-Pacific
Middle East & Africa (MEA)
- Gulf Cooperation Council (GCC)
- South Africa
- Rest of the Middle East & Africa
North America is predicted to have the greatest market share in the coming years. Due to factors such as the deployment of advanced technologies such as big data and AI, established automotive manufacturing centers, and being home to the world's top technical businesses such as Facebook, Microsoft, Google, Apple, and others, the region has been a pioneer of autonomous vehicles. Furthermore, the increased testing and use of self-driving cars in Texas, Houston, Arizona, Michigan, Pennsylvania, and other places are growing demand for the automotive data management industry. This is due to improvements in traffic regulations in the United States that allow autonomous vehicles to interact on roads and highways. To enable fully autonomous travel, the government has made significant investments in road infrastructure, which drives the regional industry over the forecasting years. Competitive Landscape
Some of the prominent players in global automotive data management market are Acerta Analytics Solutions, Inc., Caruso GmbH, AMO Foundation, Amodo D.o.o, Amazon Web Services, Inc., IBM Corporation, ETL Solutions Limited, SAP SE, Teradata Corporation, Otonomo Technologies Ltd., National Instruments Corporation, and Sibros Technologies, Inc.
CHAPTER 1. Industry Overview of Automotive Data Management Market
1.1. Definition and Scope
1.1.1. Definition of Automotive Data Management
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Automotive Data Management Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Automotive Data Management Market By Component
1.2.3. Automotive Data Management Market By Data Type
1.2.4. Automotive Data Management Market By Vehicle Type
1.2.5. Automotive Data Management Market By Deployment
1.2.6. Automotive Data Management Market By Application
1.2.7. Automotive Data Management Market By Regions
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Source
2.2.2. Primary Source
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restraint 1
3.2.2. Restraint 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Automotive Data Management Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Automotive Data Management Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Cost Structure Analysis
3.8.1. Price Trend of Key Raw Materials
3.8.2. Raw Material Suppliers
3.9. Regulatory Compliance
3.10. Competitive Landscape, 2021
3.10.1. Player Positioning Analysis
3.10.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Manufacturing Plant Analysis
4.1. Manufacturing Plant Location and Establish Date of Major Manufacturers in 2021
4.2. R&D Status of Automotive Data Management Major Manufacturers in 2021
CHAPTER 5. Automotive Data Management Market By Component
5.1. Introduction
5.2. Automotive Data Management Market Revenue By Component
5.2.1. Automotive Data Management Market Revenue (US$ Mn) and Forecast, By Component, 2018-2030
5.2.2. Software
5.2.2.1. Software Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.2.2. Data Security
5.2.2.2.1. Data Security Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.2.3. Data Migration
5.2.2.3.1. Data Migration Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.2.4. Data Integration
5.2.2.4.1. Data Integration Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.2.5. Data Quality
5.2.2.5.1. Data Quality Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.3. Service
5.2.3.1. Service Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.3.2. Professional Service
5.2.3.2.1. Professional Service Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.3.3. Managed Service
5.2.3.3.1. Managed Service Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 6. Automotive Data Management Market Revenue By Data Type
6.1. Introduction
6.2. Automotive Data Management Market Revenue (US$ Mn) By Data Type
6.2.1. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
6.2.2. Unstructured
6.2.2.1. Unstructured Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
6.2.3. Semi-structured and Structured
6.2.3.1. Semi-structured and Structured Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 7. Automotive Data Management Market Revenue By Vehicle Type
7.1. Introduction
7.2. Automotive Data Management Market Revenue (US$ Mn) By Vehicle Type
7.2.1. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
7.2.2. Non-autonomous
7.2.2.1. Non-autonomous Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
7.2.3. Autonomous
7.2.3.1. Autonomous Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 8. Automotive Data Management Market Revenue By Deployment
8.1. Introduction
8.2. Automotive Data Management Market Revenue (US$ Mn) By Deployment
8.2.1. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
8.2.2. On-premise
8.2.2.1. On-premise Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
8.2.3. Cloud
8.2.3.1. Cloud Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 9. Automotive Data Management Market Revenue By Application
9.1. Introduction
9.2. Automotive Data Management Market Revenue (US$ Mn) By Application
9.2.1. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.2.2. Predictive Maintenance
9.2.2.1. Predictive Maintenance Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
9.2.3. Safety and Security Management
9.2.3.1. Safety and Security Management Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
9.2.4. Dealer Performance Analysis
9.2.4.1. Dealer Performance Analysis Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
9.2.5. Warranty Analytics
9.2.5.1. Warranty Analytics Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
9.2.6. Driver and User Behavior Analysis
9.2.6.1. Driver and User Behavior Analysis Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
9.2.7. Others
9.2.7.1. Others Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 10. North America Automotive Data Management Market By Country
10.1. North America Automotive Data Management Market Overview
10.2. U.S.
10.2.1. U.S. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
10.2.2. U.S. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
10.2.3. U.S. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
10.2.4. U.S. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
10.2.5. U.S. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.3. Canada
10.3.1. Canada Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
10.3.2. Canada Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
10.3.3. Canada Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
10.3.4. Canada Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
10.3.5. Canada Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.4. North America PEST Analysis
CHAPTER 11. Europe Automotive Data Management Market By Country
11.1. Europe Automotive Data Management Market Overview
11.2. U.K.
11.2.1. U.K. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
11.2.2. U.K. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
11.2.3. U.K. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
11.2.4. U.K. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
11.2.5. U.K. Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.3. Germany
11.3.1. Germany Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
11.3.2. Germany Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
11.3.3. Germany Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
11.3.4. Germany Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
11.3.5. Germany Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.4. France
11.4.1. France Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
11.4.2. France Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
11.4.3. France Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
11.4.4. France Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
11.4.5. France Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.5. Spain
11.5.1. Spain Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
11.5.2. Spain Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
11.5.3. Spain Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
11.5.4. Spain Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
11.5.5. Spain Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.6. Rest of Europe
11.6.1. Rest of Europe Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
11.6.2. Rest of Europe Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
11.6.3. Rest of Europe Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
11.6.4. Rest of Europe Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
11.6.5. Rest of Europe Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.7. Europe PEST Analysis
CHAPTER 12. Asia-Pacific Automotive Data Management Market By Country
12.1. Asia-Pacific Automotive Data Management Market Overview
12.2. China
12.2.1. China Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.2.2. China Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.2.3. China Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.2.4. China Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.2.5. China Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.3. Japan
12.3.1. Japan Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.3.2. Japan Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.3.3. Japan Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.3.4. Japan Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.3.5. Japan Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.4. India
12.4.1. India Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.4.2. India Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.4.3. India Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.4.4. India Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.4.5. India Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.5. Australia
12.5.1. Australia Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.5.2. Australia Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.5.3. Australia Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.5.4. Australia Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.5.5. Australia Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.6. South Korea
12.6.1. South Korea Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.6.2. South Korea Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.6.3. South Korea Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.6.4. South Korea Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.6.5. South Korea Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.7. Rest of Asia-Pacific
12.7.1. Rest of Asia-Pacific Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
12.7.2. Rest of Asia-Pacific Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
12.7.3. Rest of Asia-Pacific Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
12.7.4. Rest of Asia-Pacific Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
12.7.5. Rest of Asia-Pacific Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.8. Asia Pacific PEST Analysis
CHAPTER 13. Latin America Automotive Data Management Market By Country
13.1. Latin America Automotive Data Management Market Overview
13.2. Brazil
13.2.1. Brazil Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
13.2.2. Brazil Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
13.2.3. Brazil Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
13.2.4. Brazil Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
13.2.5. Brazil Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
13.3. Mexico
13.3.1. Mexico Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
13.3.2. Mexico Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
13.3.3. Mexico Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
13.3.4. Mexico Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
13.3.5. Mexico Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
13.4. Rest of Latin America
13.4.1. Rest of Latin America Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
13.4.2. Rest of Latin America Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
13.4.3. Rest of Latin America Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
13.4.4. Rest of Latin America Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
13.4.5. Rest of Latin America Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
13.5. Latin America PEST Analysis
CHAPTER 14. Middle East & Africa Automotive Data Management Market By Country
14.1. Middle East & Africa Automotive Data Management Market Overview
14.2. GCC
14.2.1. GCC Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
14.2.2. GCC Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
14.2.3. GCC Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
14.2.4. GCC Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
14.2.5. GCC Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
14.3. South Africa
14.3.1. South Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
14.3.2. South Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
14.3.3. South Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
14.3.4. South Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
14.3.5. South Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
14.4. Rest of Middle East & Africa
14.4.1. Rest of Middle East & Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Component, 2018-2030
14.4.2. Rest of Middle East & Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Data Type, 2018-2030
14.4.3. Rest of Middle East & Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Vehicle Type, 2018-2030
14.4.4. Rest of Middle East & Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Deployment, 2018-2030
14.4.5. Rest of Middle East & Africa Automotive Data Management Market Revenue (US$ Mn) and Forecast By Application, 2018-2030
14.5. Middle East & Africa PEST Analysis
CHAPTER 15. Player Analysis Of Automotive Data Management
15.1. Automotive Data Management Company Share Analysis
15.2. Competition Matrix
15.2.1. Competitive Benchmarking of Key Players by Price, Presence, Market Share, and R&D Investment
15.2.2. Product Launches and Product Enhancements
15.2.3. Mergers And Acquisition In Global Automotive Data Management Market
15.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 16. Company Profile
16.1. Acerta Analytics Solutions, Inc.
16.1.1. Company Snapshot
16.1.2. Business Overview
16.1.3. Financial Overview
16.1.3.1. Market Revenue (US$ Mn), 2021
16.1.3.2. Acerta Analytics Solutions, Inc. 2021 Automotive Data Management Business Regional Distribution
16.1.4. Product/service and Specification
16.1.5. Recent Developments & Business Strategy
16.2. Caruso GmbH
16.3. AMO Foundation
16.4. Amodo D.o.o
16.5. Amazon Web Services, Inc.
16.6. IBM Corporation
16.7. ETL Solutions Limited
16.8. SAP SE
16.9. Teradata Corporation
16.10. Otonomo Technologies Ltd.
16.11. National Instruments Corporation
16.12. Sibros Technologies, Inc.