The Europe Automotive Data Management Market should witness market growth of 17.3% CAGR during the forecast period (2022-2028).
An automobile system is a complicated networked IT system that is distinguished by the frequent interaction of its components, including hundreds of ECUs, sensors, and actuators. Each component may be viewed as a self-contained embedded system, resulting in a very diverse system. Since often multiple ECUs are given by different manufacturers, heterogeneity is reduced. The various sensors (Si) and actuators (Ai) are directly connected to the ECUs, which are in turn connected for communication through bus systems.
In addition, the ECUs are organized into sub-bus systems based on their functions. Three sub-bus systems are represented in the example: The Comfort, Infotainment, and Power Train sub-bus systems. The sub-bus systems have slightly different requirements and limits. For example, the power train system has strict real-time requirements, resulting in a greater transmission rate than other sub-bus systems. Other than that, data can be transmitted between any ECUs, independent of the sub-bus system to which they belong. Moreover, the data transmitted may be discrete or continuous, whilst the discrepancies result from the data's distribution. The bus protocol transmits continuous data in a time-triggered manner.
In 2015, German automakers produced more than 15 million automobiles, or more than 19 percent of output. German firms comprise twenty-one of the top 100 automotive suppliers in the world. In 2015, German factories produced over 5.7 million passenger vehicles and 325,200 trucks and buses, making Germany the European leader in automobile production. In 2015, German manufacturers of passenger cars and light commercial vehicles produced more than EUR 263 billion in income from exports, a rise of over 11% from 2014. The majority of German automobiles are exported to other European nations, with neighbouring nations accounting for over fifty percent of overall exports which drives the adoption of the automotive data management market
The Germany market dominated the Europe Automotive Data Management Market by Country 2021; thereby, achieving a market value of $248.2 million by 2028. The UK market is exhibiting a CAGR of 16.4% during (2022-2028). Additionally, The France market would experience a CAGR of 18.2% during (2022-2028).
Based on Component, the market is segmented into Software and Services. Based on Data Type, the market is segmented into Structured and Unstructured. Based on Application, the market is segmented into Driver & User Behavior Analysis, Safety & Security Management, Predictive Maintenance, Warranty Analytics and Dealer Performance Analysis. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Vehicle Type, the market is segmented into Non-autonomous and Autonomous. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Sibros Technologies Inc., Azuga, Inc. (Bridgestone Corporation), Microsoft Corporation, SAP SE, IBM Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Otonomo Technologies Ltd., Agnik LLC, Procon Analytics, LLC and Xevo, Inc. (Lear Corporation) .
An automobile system is a complicated networked IT system that is distinguished by the frequent interaction of its components, including hundreds of ECUs, sensors, and actuators. Each component may be viewed as a self-contained embedded system, resulting in a very diverse system. Since often multiple ECUs are given by different manufacturers, heterogeneity is reduced. The various sensors (Si) and actuators (Ai) are directly connected to the ECUs, which are in turn connected for communication through bus systems.
In addition, the ECUs are organized into sub-bus systems based on their functions. Three sub-bus systems are represented in the example: The Comfort, Infotainment, and Power Train sub-bus systems. The sub-bus systems have slightly different requirements and limits. For example, the power train system has strict real-time requirements, resulting in a greater transmission rate than other sub-bus systems. Other than that, data can be transmitted between any ECUs, independent of the sub-bus system to which they belong. Moreover, the data transmitted may be discrete or continuous, whilst the discrepancies result from the data's distribution. The bus protocol transmits continuous data in a time-triggered manner.
In 2015, German automakers produced more than 15 million automobiles, or more than 19 percent of output. German firms comprise twenty-one of the top 100 automotive suppliers in the world. In 2015, German factories produced over 5.7 million passenger vehicles and 325,200 trucks and buses, making Germany the European leader in automobile production. In 2015, German manufacturers of passenger cars and light commercial vehicles produced more than EUR 263 billion in income from exports, a rise of over 11% from 2014. The majority of German automobiles are exported to other European nations, with neighbouring nations accounting for over fifty percent of overall exports which drives the adoption of the automotive data management market
The Germany market dominated the Europe Automotive Data Management Market by Country 2021; thereby, achieving a market value of $248.2 million by 2028. The UK market is exhibiting a CAGR of 16.4% during (2022-2028). Additionally, The France market would experience a CAGR of 18.2% during (2022-2028).
Based on Component, the market is segmented into Software and Services. Based on Data Type, the market is segmented into Structured and Unstructured. Based on Application, the market is segmented into Driver & User Behavior Analysis, Safety & Security Management, Predictive Maintenance, Warranty Analytics and Dealer Performance Analysis. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Vehicle Type, the market is segmented into Non-autonomous and Autonomous. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Sibros Technologies Inc., Azuga, Inc. (Bridgestone Corporation), Microsoft Corporation, SAP SE, IBM Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Otonomo Technologies Ltd., Agnik LLC, Procon Analytics, LLC and Xevo, Inc. (Lear Corporation) .
Scope of the Study
By Component
- Software
- Services
By Data Type
- Structured
- Unstructured
By Application
- Driver & User Behavior Analysis
- Safety & Security Management
- Predictive Maintenance
- Warranty Analytics
- Dealer Performance Analysis
By Deployment Type
- Cloud
- On-premise
By Vehicle Type
- Non-autonomous
- Autonomous
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Sibros Technologies Inc.
- Azuga, Inc. (Bridgestone Corporation)
- Microsoft Corporation
- SAP SE
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Otonomo Technologies Ltd.
- Agnik LLC
- Procon Analytics, LLC.
- Xevo, Inc. (Lear Corporation)
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Automotive Data Management Market by Component
Chapter 5. Europe Automotive Data Management Market by Data Type
Chapter 6. Europe Automotive Data Management Market by Application
Chapter 7. Europe Automotive Data Management Market by Deployment Type
Chapter 8. Europe Automotive Data Management Market by Vehicle Type
Chapter 9. Europe Automotive Data Management Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Sibros Technologies Inc.
- Azuga, Inc. (Bridgestone Corporation)
- Microsoft Corporation
- SAP SE
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Otonomo Technologies Ltd.
- Agnik LLC
- Procon Analytics, LLC.
- Xevo, Inc. (Lear Corporation)
Methodology
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