North America Automotive Data Management Market Size, Share & Industry Trends Analysis Report By Component (Software and Services), By Data Type, By Application, By Deployment Type (Cloud and On-premise), By Vehicle Type, By Country and Growth Forecast, 2
Description
North America Automotive Data Management Market Size, Share & Industry Trends Analysis Report By Component (Software and Services), By Data Type, By Application, By Deployment Type (Cloud and On-premise), By Vehicle Type, By Country and Growth Forecast, 2022 - 2028
The North America Automotive Data Management Market would witness market growth of 17.2% CAGR during the forecast period (2022-2028).
A contemporary automobile's automotive system comprises the hardware, i.e. sensors, actuators, and electronic control units (ECU), and the many bus systems utilized for their connection and communication. Moreover, the software created to satisfy ever-increasing functionality in a vehicle is part of such a system. Especially the latter has grown fast over the past decade, creating automobile systems software-heavy IT systems. This development is accompanied by a rise in data volume.
In addition, often mechanical components are replaced with electronic ones, such as when contemplating X-By-Wire technology or driver aid systems such as ESP (Electronic Stability Program). Therefore, it is essential to ensure the dependability and safety of an automobile system while offering effective and adaptable data handling. In reality, each ECU in such a system manages its data using its own internal data structures. Consequently, problems that may arise (such as inconsistencies or concurrency issues) are resolved locally via techniques built directly on the hardware.
Transport Canada announced in May 2019 a pan-Canadian electric car rebate scheme with a $5,000 discount on the price of a newly acquired electric vehicle. Electric car sales grew in Canada during the second quarter of 2019. However, considering that none of the markets' higher sales rates persisted into the second quarter, the lowered incentive amount may have a shorter duration than Ontario's $10,000 incentive. After a strong start in the second quarter of 2019, EV sales in other Canadian markets with government incentive programs climbed just marginally. Increasing production of electric vehicles drives the utilization of automotive data management to make automobiles more appealing and well-tracked, hence boosting market development.
The US market dominated the North America Automotive Data Management Market by Country 2021; thereby, achieving a market value of $957 million by 2028. The Canada market is experiencing a CAGR of 19.9% during (2022 - 2028). Additionally, The Mexico market would exhibit a CAGR of 18.8% 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 U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders 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
Market Segments covered in the Report:
By Component
The North America Automotive Data Management Market would witness market growth of 17.2% CAGR during the forecast period (2022-2028).
A contemporary automobile's automotive system comprises the hardware, i.e. sensors, actuators, and electronic control units (ECU), and the many bus systems utilized for their connection and communication. Moreover, the software created to satisfy ever-increasing functionality in a vehicle is part of such a system. Especially the latter has grown fast over the past decade, creating automobile systems software-heavy IT systems. This development is accompanied by a rise in data volume.
In addition, often mechanical components are replaced with electronic ones, such as when contemplating X-By-Wire technology or driver aid systems such as ESP (Electronic Stability Program). Therefore, it is essential to ensure the dependability and safety of an automobile system while offering effective and adaptable data handling. In reality, each ECU in such a system manages its data using its own internal data structures. Consequently, problems that may arise (such as inconsistencies or concurrency issues) are resolved locally via techniques built directly on the hardware.
Transport Canada announced in May 2019 a pan-Canadian electric car rebate scheme with a $5,000 discount on the price of a newly acquired electric vehicle. Electric car sales grew in Canada during the second quarter of 2019. However, considering that none of the markets' higher sales rates persisted into the second quarter, the lowered incentive amount may have a shorter duration than Ontario's $10,000 incentive. After a strong start in the second quarter of 2019, EV sales in other Canadian markets with government incentive programs climbed just marginally. Increasing production of electric vehicles drives the utilization of automotive data management to make automobiles more appealing and well-tracked, hence boosting market development.
The US market dominated the North America Automotive Data Management Market by Country 2021; thereby, achieving a market value of $957 million by 2028. The Canada market is experiencing a CAGR of 19.9% during (2022 - 2028). Additionally, The Mexico market would exhibit a CAGR of 18.8% 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 U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders 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
Market Segments covered in the Report:
By Component
- Software
- Services
- Structured
- Unstructured
- Driver & User Behavior Analysis
- Safety & Security Management
- Predictive Maintenance
- Warranty Analytics
- Dealer Performance Analysis
- Cloud
- On-premise
- Non-autonomous
- Autonomous
- US
- Canada
- Mexico
- Rest of North America
- 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
112 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Automotive Data Management Market, by Component
- 1.4.2 North America Automotive Data Management Market, by Data Type
- 1.4.3 North America Automotive Data Management Market, by Application
- 1.4.4 North America Automotive Data Management Market, by Deployment Type
- 1.4.5 North America Automotive Data Management Market, by Vehicle Type
- 1.4.6 North America Automotive Data Management Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market Overview
- 2.1 Introduction
- 2.1.1 Overview
- 2.1.1.1 Market Composition & Scenarios
- 2.2 Key Factors Impacting the Market
- 2.2.1 Market Drivers
- 2.2.2 Market Restraints
- Chapter 3. Competition Analysis - Global
- 3.1 KBV Cardinal Matrix
- 3.2 Recent Industry Wide Strategic Developments
- 3.2.1 Partnerships, Collaborations and Agreements
- 3.2.2 Product Launches and Product Expansions
- 3.2.3 Acquisition and Mergers
- 3.3 Top Winning Strategies
- 3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
- 3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements: 2019, Jan – 2022, Oct) Leading Players
- Chapter 4. North America Automotive Data Management Market by Component
- 4.1 North America Software Market by Country
- 4.2 North America Services Market by Country
- Chapter 5. North America Automotive Data Management Market by Data Type
- 5.1 North America Structured Market by Country
- 5.2 North America Unstructured Market by Country
- Chapter 6. North America Automotive Data Management Market by Application
- 6.1 North America Driver & User Behavior Analysis Market by Country
- 6.2 North America Safety & Security Management Market by Country
- 6.3 North America Predictive Maintenance Market by Country
- 6.4 North America Warranty Analytics Market by Country
- 6.5 North America Dealer Performance Analysis Market by Country
- Chapter 7. North America Automotive Data Management Market by Deployment Type
- 7.1 North America Cloud Market by Country
- 7.2 North America On-premise Market by Country
- Chapter 8. North America Automotive Data Management Market by Vehicle Type
- 8.1 North America Non-autonomous Market by Country
- 8.2 North America Autonomous Market by Country
- Chapter 9. North America Automotive Data Management Market by Country
- 9.1 US Automotive Data Management Market
- 9.1.1 US Automotive Data Management Market by Component
- 9.1.2 US Automotive Data Management Market by Data Type
- 9.1.3 US Automotive Data Management Market by Application
- 9.1.4 US Automotive Data Management Market by Deployment Type
- 9.1.5 US Automotive Data Management Market by Vehicle Type
- 9.2 Canada Automotive Data Management Market
- 9.2.1 Canada Automotive Data Management Market by Component
- 9.2.2 Canada Automotive Data Management Market by Data Type
- 9.2.3 Canada Automotive Data Management Market by Application
- 9.2.4 Canada Automotive Data Management Market by Deployment Type
- 9.2.5 Canada Automotive Data Management Market by Vehicle Type
- 9.3 Mexico Automotive Data Management Market
- 9.3.1 Mexico Automotive Data Management Market by Component
- 9.3.2 Mexico Automotive Data Management Market by Data Type
- 9.3.3 Mexico Automotive Data Management Market by Application
- 9.3.4 Mexico Automotive Data Management Market by Deployment Type
- 9.3.5 Mexico Automotive Data Management Market by Vehicle Type
- 9.4 Rest of North America Automotive Data Management Market
- 9.4.1 Rest of North America Automotive Data Management Market by Component
- 9.4.2 Rest of North America Automotive Data Management Market by Data Type
- 9.4.3 Rest of North America Automotive Data Management Market by Application
- 9.4.4 Rest of North America Automotive Data Management Market by Deployment Type
- 9.4.5 Rest of North America Automotive Data Management Market by Vehicle Type
- Chapter 10. Company Profiles
- 10.1 IBM Corporation
- 10.1.1 Company Overview
- 10.1.2 Financial Analysis
- 10.1.3 Regional & Segmental Analysis
- 10.1.4 Research & Development Expenses
- 10.1.5 Recent strategies and developments:
- 10.1.5.1 Acquisition and Mergers:
- 10.1.6 SWOT Analysis
- 10.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 10.2.1 Company Overview
- 10.2.2 Financial Analysis
- 10.2.3 Segmental Analysis
- 10.2.4 Recent strategies and developments:
- 10.2.4.1 Partnerships, Collaborations, and Agreements:
- 10.2.4.2 Product Launches and Product Expansions:
- 10.2.5 SWOT Analysis
- 10.3 Microsoft Corporation
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Segmental and Regional Analysis
- 10.3.4 Research & Development Expenses
- 10.3.5 Recent strategies and developments:
- 10.3.5.1 Partnerships, Collaborations, and Agreements:
- 10.3.6 SWOT Analysis
- 10.4 SAP SE
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Segmental and Regional Analysis
- 10.4.4 Research & Development Expense
- 10.4.5 Recent strategies and developments:
- 10.4.5.1 Partnerships, Collaborations, and Agreements:
- 10.4.6 SWOT Analysis
- 10.5 Azuga, Inc. (Bridgestone Corporation)
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental Analysis
- 10.5.4 Research & Development Expenses
- 10.5.5 Recent strategies and developments:
- 10.5.5.1 Partnerships, Collaborations, and Agreements:
- 10.5.5.2 Product Launches and Product Expansions:
- 10.5.5.3 Acquisition and Mergers:
- 10.6 Otonomo Technologies Ltd.
- 10.6.1 Company Overview
- 10.6.2 Financial Analysis
- 10.6.3 Regional Analysis
- 10.6.4 Research & Development Expenses
- 10.6.5 Recent strategies and developments:
- 10.6.5.1 Partnerships, Collaborations, and Agreements:
- 10.6.5.2 Acquisition and Mergers:
- 10.7 Xevo, Inc. (Lear Corporation)
- 10.7.1 Company Overview
- 10.7.2 Financial Analysis
- 10.7.3 Segmental and Regional Analysis
- 10.7.4 Recent strategies and developments:
- 10.7.4.1 Partnerships, Collaborations, and Agreements:
- 10.8 Sibros Technologies, Inc.
- 10.8.1 Company Overview
- 10.8.2 Recent strategies and developments:
- 10.8.2.1 Partnerships, Collaborations, and Agreements:
- 10.8.2.2 Product Launches and Product Expansions:
- 10.9 Agnik LLC
- 10.9.1 Company Overview
- 10.10. Procon Analytics, LLC.
- 10.10.1 Company Overview
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