+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

LAMEA 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

  • PDF Icon

    Report

  • 128 Pages
  • November 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5709371
The Latin America, Middle East and Africa Automotive Data Management Market should witness market growth of 21.1% CAGR during the forecast period (2022-2028).

Multiple opportunities exist for accessing an automotive system from the outside (e.g., by exploiting security flaws in wireless communication systems or by using manipulated media discs) or from within the vehicle. Thus, it is susceptible to hostile assaults, but the motivations might vary, such as for tuning purposes or financial gain. Although these assaults vary in their underlying methodology and their intended targets, they all have the objective of manipulating data. Consequently, the aforementioned security measures must be implemented to protect the data in automotive systems to maintain the integrity of the entire system.

A central DMS enables the implementation of the whole automotive software system on a single ECU. Since the DMS must interface with all sub-bus systems and their related ECUs, the only enclosure for the central DMS is the central gateway. The primary benefits of such a system are its greater maintainability and scalability. Updates or expansions (e.g., of functionality) need only be supplied for a single piece of software installed on a single piece of hardware. Moreover, as there is no other DMS in the system, concurrency control and other methods may be handled internally, making optimization simpler.

The construction industry is anticipated to continue to expand by 9.7 percent in 2019, resulting in increasing demand for heavy commercial vehicles, particularly in the preparation for Expo 2020 in Dubai, a six-month-long event that will undoubtedly drive sales. The increase in building activities will enhance sales of commercial vehicles, while the tourism growth will raise sales of buses/minibuses which accelerate the growth of the automotive data management market in this region.

The Brazil market dominated the LAMEA Automotive Data Management Market by Country 2021; thereby, achieving a market value of $64 million by 2028. The Argentina market is showcasing a CAGR of 21.8% during (2022-2028). Additionally, The UAE market would register a CAGR of 20.8% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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 LAMEA Automotive Data Management Market, by Component
1.4.2 LAMEA Automotive Data Management Market, by Data Type
1.4.3 LAMEA Automotive Data Management Market, by Application
1.4.4 LAMEA Automotive Data Management Market, by Deployment Type
1.4.5 LAMEA Automotive Data Management Market, by Vehicle Type
1.4.6 LAMEA 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. LAMEA Automotive Data Management Market by Component
4.1 LAMEA Software Market by Country
4.2 LAMEA Services Market by Country
Chapter 5. LAMEA Automotive Data Management Market by Data Type
5.1 LAMEA Structured Market by Country
5.2 LAMEA Unstructured Market by Country
Chapter 6. LAMEA Automotive Data Management Market by Application
6.1 LAMEA Driver & User Behavior Analysis Market by Country
6.2 LAMEA Safety & Security Management Market by Country
6.3 LAMEA Predictive Maintenance Market by Country
6.4 LAMEA Warranty Analytics Market by Country
6.5 LAMEA Dealer Performance Analysis Market by Country
Chapter 7. LAMEA Automotive Data Management Market by Deployment Type
7.1 LAMEA Cloud Market by Country
7.2 LAMEA On-premise Market by Country
Chapter 8. LAMEA Automotive Data Management Market by Vehicle Type
8.1 LAMEA Non-autonomous Market by Country
8.2 LAMEA Autonomous Market by Country
Chapter 9. LAMEA Automotive Data Management Market by Country
9.1 Brazil Automotive Data Management Market
9.1.1 Brazil Automotive Data Management Market by Component
9.1.2 Brazil Automotive Data Management Market by Data Type
9.1.3 Brazil Automotive Data Management Market by Application
9.1.4 Brazil Automotive Data Management Market by Deployment Type
9.1.5 Brazil Automotive Data Management Market by Vehicle Type
9.2 Argentina Automotive Data Management Market
9.2.1 Argentina Automotive Data Management Market by Component
9.2.2 Argentina Automotive Data Management Market by Data Type
9.2.3 Argentina Automotive Data Management Market by Application
9.2.4 Argentina Automotive Data Management Market by Deployment Type
9.2.5 Argentina Automotive Data Management Market by Vehicle Type
9.3 UAE Automotive Data Management Market
9.3.1 UAE Automotive Data Management Market by Component
9.3.2 UAE Automotive Data Management Market by Data Type
9.3.3 UAE Automotive Data Management Market by Application
9.3.4 UAE Automotive Data Management Market by Deployment Type
9.3.5 UAE Automotive Data Management Market by Vehicle Type
9.4 Saudi Arabia Automotive Data Management Market
9.4.1 Saudi Arabia Automotive Data Management Market by Component
9.4.2 Saudi Arabia Automotive Data Management Market by Data Type
9.4.3 Saudi Arabia Automotive Data Management Market by Application
9.4.4 Saudi Arabia Automotive Data Management Market by Deployment Type
9.4.5 Saudi Arabia Automotive Data Management Market by Vehicle Type
9.5 South Africa Automotive Data Management Market
9.5.1 South Africa Automotive Data Management Market by Component
9.5.2 South Africa Automotive Data Management Market by Data Type
9.5.3 South Africa Automotive Data Management Market by Application
9.5.4 South Africa Automotive Data Management Market by Deployment Type
9.5.5 South Africa Automotive Data Management Market by Vehicle Type
9.6 Nigeria Automotive Data Management Market
9.6.1 Nigeria Automotive Data Management Market by Component
9.6.2 Nigeria Automotive Data Management Market by Data Type
9.6.3 Nigeria Automotive Data Management Market by Application
9.6.4 Nigeria Automotive Data Management Market by Deployment Type
9.6.5 Nigeria Automotive Data Management Market by Vehicle Type
9.7 Rest of LAMEA Automotive Data Management Market
9.7.1 Rest of LAMEA Automotive Data Management Market by Component
9.7.2 Rest of LAMEA Automotive Data Management Market by Data Type
9.7.3 Rest of LAMEA Automotive Data Management Market by Application
9.7.4 Rest of LAMEA Automotive Data Management Market by Deployment Type
9.7.5 Rest of LAMEA 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

Loading
LOADING...