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

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

• On-premise
• Cloud

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

• U.S.
• Canada

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.