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
|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|
|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.|
||Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis|
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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.
The global automotive data management market segmentation based on the component, data type, vehicle type, deployment, application and geography.
Market By Component
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
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
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
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
Middle East & Africa (MEA)
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.
The estimated value of global automotive data management market in 2021 was accounted to be US$ 920 Mn.
The projected CAGR of automotive data management during the analysis period of 2022 to 2030 is 20.5%.
The prominent players of the global automotive data management market involve 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.
North America held the dominating share for automotive data management during the analysis period of 2022 to 2030
Asia-Pacific region exhibited fastest growing CAGR for automotive data management during the analysis period of 2022 to 2030
The rises of self-driving cars, increased investment in the automobile industry, and the rising number of technological products in autonomous vehicles are the prominent factors that fuel the growth of global automotive data management market
Based on deployment, cloud segment held the maximum share for automotive data management market in 2021