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Asia Pacific 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

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    Report

  • 127 Pages
  • November 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5709655
The Asia Pacific Automotive Data Management Market should witness market growth of 18.4% CAGR during the forecast period (2022-2028).

The data is only valid for a certain amount of time, whereas discrete data is dispersed in an event-triggered manner (i.e., if new data is available, the ECUs are notified of this fact). Typically, a microcontroller utilized in ECUs of modern automotive systems (e.g., in production vehicles) has a memory of 40-50 KB (spread between RAM and EEPROM) and a processing speed of fewer than 10 MHz. Moreover, the real-time needs of such a system are measured in milliseconds (with a maximum of 10 ms), regardless of the sub-bus system under consideration.

Information is the new money in the automobile industry. Analysis of the disturbance created by the explosion of a process. Unlocking this data is crucial for reducing design costs, spotting an ongoing move to virtualization and the cloud, and having a reliable partner. Long overlooked, the IT security of automobile systems is becoming an increasing focus of study because of the potentially catastrophic repercussions of a breach. Security is the dependability of keeping the security characteristics of information (inside a system). The system can be called secure if all of these security standards are met: confidentiality, integrity, availability, non-repudiation, and authenticity. To establish a safe system, it is necessary to implement the proper security methods.

India is rapidly becoming a worldwide automotive center. However, the industry has an irregular growth trajectory, initially seeing a decline in 2007-08, followed by a small rebound in terms of sales and output the following year, which led to a significant gain of 25-27% in 2009-10. After a capacity expansion of Rs 2200 cr in 2011-12, the automobile sector is presently plagued by excess capacity and sluggish demand, resulting in layoffs. Slowing economic growth, high cost of vehicle finance, high-interest rates, high fuel prices, high inflation, negative market sentiments, high rate of goods and services tax and excise duty, high and variable rate of road taxes in the States which surge the growth of the automotive data management for the better tracks records and data management.

The China market dominated the Asia Pacific Automotive Data Management Market by Country 2021; thereby, achieving a market value of $296.4 million by 2028. The Japan market is registering a CAGR of 17.7% during (2022-2028). Additionally, The India market would showcase a CAGR of 19.1% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

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

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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)

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Automotive Data Management Market, by Component
1.4.2 Asia Pacific Automotive Data Management Market, by Data Type
1.4.3 Asia Pacific Automotive Data Management Market, by Application
1.4.4 Asia Pacific Automotive Data Management Market, by Deployment Type
1.4.5 Asia Pacific Automotive Data Management Market, by Vehicle Type
1.4.6 Asia Pacific Automotive Data Management Market, by Country
1.5 Research Methodology
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 The 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. Asia Pacific Automotive Data Management Market by Component
4.1 Asia Pacific Software Market by Country
4.2 Asia Pacific Services Market by Country
Chapter 5. Asia Pacific Automotive Data Management Market by Data Type
5.1 Asia Pacific Structured Market by Country
5.2 Asia Pacific Unstructured Market by Country
Chapter 6. Asia Pacific Automotive Data Management Market by Application
6.1 Asia Pacific Driver & User Behavior Analysis Market by Country
6.2 Asia Pacific Safety & Security Management Market by Country
6.3 Asia Pacific Predictive Maintenance Market by Country
6.4 Asia Pacific Warranty Analytics Market by Country
6.5 Asia Pacific Dealer Performance Analysis Market by Country
Chapter 7. Asia Pacific Automotive Data Management Market by Deployment Type
7.1 Asia Pacific Cloud Market by Country
7.2 Asia Pacific On-premise Market by Country
Chapter 8. Asia Pacific Automotive Data Management Market by Vehicle Type
8.1 Asia Pacific Non-autonomous Market by Country
8.2 Asia Pacific Autonomous Market by Country
Chapter 9. Asia Pacific Automotive Data Management Market by Country
9.1 China Automotive Data Management Market
9.1.1 China Automotive Data Management Market by Component
9.1.2 China Automotive Data Management Market by Data Type
9.1.3 China Automotive Data Management Market by Application
9.1.4 China Automotive Data Management Market by Deployment Type
9.1.5 China Automotive Data Management Market by Vehicle Type
9.2 Japan Automotive Data Management Market
9.2.1 Japan Automotive Data Management Market by Component
9.2.2 Japan Automotive Data Management Market by Data Type
9.2.3 Japan Automotive Data Management Market by Application
9.2.4 Japan Automotive Data Management Market by Deployment Type
9.2.5 Japan Automotive Data Management Market by Vehicle Type
9.3 India Automotive Data Management Market
9.3.1 India Automotive Data Management Market by Component
9.3.2 India Automotive Data Management Market by Data Type
9.3.3 India Automotive Data Management Market by Application
9.3.4 India Automotive Data Management Market by Deployment Type
9.3.5 India Automotive Data Management Market by Vehicle Type
9.4 South Korea Automotive Data Management Market
9.4.1 South Korea Automotive Data Management Market by Component
9.4.2 South Korea Automotive Data Management Market by Data Type
9.4.3 South Korea Automotive Data Management Market by Application
9.4.4 South Korea Automotive Data Management Market by Deployment Type
9.4.5 South Korea Automotive Data Management Market by Vehicle Type
9.5 Singapore Automotive Data Management Market
9.5.1 Singapore Automotive Data Management Market by Component
9.5.2 Singapore Automotive Data Management Market by Data Type
9.5.3 Singapore Automotive Data Management Market by Application
9.5.4 Singapore Automotive Data Management Market by Deployment Type
9.5.5 Singapore Automotive Data Management Market by Vehicle Type
9.6 Malaysia Automotive Data Management Market
9.6.1 Malaysia Automotive Data Management Market by Component
9.6.2 Malaysia Automotive Data Management Market by Data Type
9.6.3 Malaysia Automotive Data Management Market by Application
9.6.4 Malaysia Automotive Data Management Market by Deployment Type
9.6.5 Malaysia Automotive Data Management Market by Vehicle Type
9.7 Rest of Asia Pacific Automotive Data Management Market
9.7.1 Rest of Asia Pacific Automotive Data Management Market by Component
9.7.2 Rest of Asia Pacific Automotive Data Management Market by Data Type
9.7.3 Rest of Asia Pacific Automotive Data Management Market by Application
9.7.4 Rest of Asia Pacific Automotive Data Management Market by Deployment Type
9.7.5 Rest of Asia Pacific 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

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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