Automotive Data Management Market
PUBLISHED: 2023 ID: SMRC23288
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Automotive Data Management Market

Automotive Data Management Market Forecasts to 2030 - Global Analysis By Component (Software and Service), Data Type (Structured and Unstructured), Vehicle Type (Autonomous and Non-autonomous), Deployment (On-premise and Cloud), Application and By Geography

4.1 (34 reviews)
4.1 (34 reviews)
Published: 2023 ID: SMRC23288

This report covers the impact of COVID-19 on this global market
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According to Stratistics MRC, the Global Automotive Data Management Market is accounted for $2.21 billion in 2023 and is expected to reach $7.17 billion by 2030 growing at a CAGR of 18.3% during the forecast period. Automotive data management is the process of gathering, storing, processing, and analyzing data generated by vehicles and their components. This information includes details about how the car operated, the driver's actions, the environment, and other important factors. Data is gathered using a variety of sensors and devices that are installed in the vehicle in order to improve performance, reduce maintenance costs, and improve the overall driving experience.

According to statista.com, an estimated 84 million connected vehicles were found on the roads in the U.S. in 2021. The market for connected vehicles has been growing in recent years, which is expected to continue.

Market Dynamics:

Driver:

Increasing demand for connected and electric vehicles

The growing demand for connected vehicles is one of the key factors driving the global market for automotive data management. Huge amounts of data are generated by connected vehicles' operation, location, and use. Automobile manufacturers and other stakeholders can benefit from the collection, processing, and analysis of this data by using automotive data management systems to improve driver safety and vehicle performance. Furthermore, the growing acceptance of electrified cars is another factor driving the global market. Electric vehicles generate a variety of data compared to conventional internal combustion engine vehicles, such as battery charge level and energy usage. Due to advancements in the auto industry like lightweight vehicles and electric mobility, the market is advancing.

Restraint:

High implementation cost and lack of skilled professionals

Implementing automotive data management solutions can be expensive, particularly for small and medium-sized businesses, which could limit the market's expansion. Additionally, the development of the market may be constrained by a lack of qualified professionals who can implement and maintain automotive data management solutions.

Opportunity:

Growing demand for cloud-based solutions and data analytics

The growing demand for data analytics is one of the key business opportunities for the global automotive data management market. Utilizing automotive data management systems, automakers and other stakeholders can analyze enormous amounts of vehicle data to identify trends and patterns, enabling data-driven decision-making and vehicle performance improvement. The expanding use of cloud-based solutions also represents another significant area of business opportunity, as cloud-based solutions are more flexible, scalable, and cost-effective, and businesses of all sizes prefer them. Therefore, automotive data management solutions can benefit from this trend by offering cloud-based solutions that enable real-time data access and insights.

Threat:

Rising cybersecurity issues

Automotive data management market growth is anticipated to be negatively impacted by the rising number of cybersecurity issues with connected and self-driving vehicles. The same cybersecurity risks that affect other connected devices also affect connected vehicles. As a result of connected vehicles' extensive data transmission over the internet, hackers may target them in an effort to access that data or take over the systems of the car. Both the vehicle's physical integrity and the safety of the passengers may be at risk as a result of this. In addition, the maintenance problems with automotive data management software slow the market's expansion even more.

Covid-19 Impact

With numerous supply chain disruptions and a drop in demand for vehicles, the COVID-19 pandemic has had a significant effect on the automotive industry. However, as the automotive industry searches for ways to adjust to the shifting landscape, the pandemic has also resulted in a greater focus on digital technologies and data management solutions. As businesses look for ways to cut downtime and maintenance costs, the pandemic has also accelerated the adoption of remote diagnostics and predictive maintenance solutions. In general, the pandemic has given the automotive data management market opportunities as well as challenges.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is anticipated to rule the market for the entire forecast period. In connected and autonomous vehicles, cloud computing is becoming more common. By facilitating greater scalability, quicker time-to-market, increased dependability, and enhanced cost-efficiency, the adoption of cloud technologies is reshaping the automotive industry. Moreover, numerous software developers are investing in cloud-based technologies for the automotive industry, which is accelerating the segment's growth.

The non-autonomous segment is expected to have the highest CAGR during the forecast period

The non-autonomous sector is anticipated to experience rapid growth during the forecast period. Non-autonomous cars cannot run without human intervention. Automobiles that are linked but not autonomous have uses for automotive data management. Moreover, connected vehicles produce data based on a variety of variables, including speed, motor condition, and distance travelled. The entertainment system, controller access network, and electric control unit of the car all provide information that enhances the driving experience. As a result of such factors, the segment is expanding.

Region with largest share:

Over the course of the prediction period, North America is anticipated to gain a significant share of the market due to the region's widespread presence of top automakers and software development firms, ongoing growth in vehicle production and sales, widespread adoption of cutting-edge technologies, and high levels of disposable income. Another significant factor anticipated to spur future regional market growth is the rapidly expanding testing and use of self-driving cars in the US due to favorable traffic regulations that permit autonomous vehicles to operate on roads and highways. Additionally, the growing acceptance of UBI (Usage-based Insurance) in the US and Canada, as well as the rise in IT companies' and automakers' strategic alliances, are other significant factors anticipated to propel growth in this region.

Region with highest CAGR:

The lucrative growth of the regional market in Europe is primarily due to advancements in vehicle electronics design, increased vehicle production, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, rising linked vehicle sales, and the emergence of significant OEMs. Due in large part to Europe, the market for connected cars is expanding. Additionally, innovative and ground-breaking products and services for vehicle data administration are being developed by local business players for consumers, aiding the region's growth.

Key players in the market

Some of the key players profiled in the Automotive Data Management Market include Acerta, Agnik LLC, Amazon Web Services, Inc., AMO Foundation, Amodo, Azuga, Caruso Gmbh, ETL Solution Ltd, HEAVY.AI, IBM Corporation, Intellias, Microsoft, National Instrument Corp, Netapp, Otonomo Technologies Ltd, Procon Analytics, SAP SE, Sibros Technologies Inc., Teradat Tech, Vinli and Xevo.

Key Developments:

In October 2022, Microsoft joined hands with Mercedes-Benz, which offers financing, leasing, car subscription and car rental, and fleet management. Together, the companies aimed to combine the physical and digital worlds to propel value creation. Moreover, Mercedes-Benz can simulate and refine manufacturing procedures infinitely in the Microsoft Cloud before getting them to the shop floor to improve productivity and reduce their ecological effect amid ongoing change and uncertainty.

In October 2022, AWS joined hands with BMW, the world’s foremost premium manufacturer of automobiles and motorcycles. Through this collaboration, the companies aimed to provide a solution that contains BMW vehicle signals and fleet intelligence data, then securely procedures and route the data in the cloud. Moreover, AWS and BMW Group are eager to make the concept of software-defined transportation an existence and to improve the abilities of vehicles on the road.

In March 2022, ACTIA and Sibros Technologies Inc. signed a strategic collaboration agreement for the ACU6 telematics technology. For OEM automakers in the motorbike, heavy-duty haulage, and light passenger sectors, this joint solution is anticipated to improve linked vehicle design and innovation.

Components Covered:
• Software
• Service

Data Types Covered:
• Structured
• Unstructured

Vehicle Types Covered:
• Autonomous
• Non-autonomous

Deployments Covered:
• On-premise
• Cloud

Application Covered:
• Dealer Performance Analysis
• Driver & User Behavior Analysis
• Predictive Maintenance
• Safety & Security Management
• Usage-Based Insurance (UBI)
• Warranty Analytics
• Other Applications

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026 and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Automotive Data Management Market, By Component
5.1 Introduction
5.2 Software
5.2.1 Data Security
5.2.2 Data Integration
5.2.3 Data Quality
5.2.4 Data Migration
5.3 Service
5.3.1 Professional
5.3.2 Managed

6 Global Automotive Data Management Market, By Data Type
6.1 Introduction
6.2 Structured
6.3 Unstructured

7 Global Automotive Data Management Market, By Vehicle Type
7.1 Introduction
7.2 Autonomous
7.3 Non-autonomous

8 Global Automotive Data Management Market, By Deployment
8.1 Introduction
8.2 On-premise
8.3 Cloud

9 Global Automotive Data Management Market, By Application
9.1 Introduction
9.2 Dealer Performance Analysis
9.3 Driver & User Behavior Analysis
9.4 Predictive Maintenance
9.5 Safety & Security Management
9.6 Usage-Based Insurance (UBI)
9.7 Warranty Analytics
9.8 Other Applications

10 Global Automotive Data Management Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa

11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling
12.1 Acerta
12.2 Agnik LLC
12.3 Amazon Web Services, Inc.
12.4 AMO Foundation
12.5 Amodo
12.6 Azuga
12.7 Caruso Gmbh
12.8 ETL Solution Ltd
12.9 HEAVY.AI
12.10 IBM Corporation
12.11 Intellias
12.12 Microsoft
12.13 National Instrument Corp
12.14 Netapp
12.15 Otonomo Technologies Ltd
12.16 Procon Analytics
12.17 SAP SE
12.18 Sibros Technologies Inc.
12.19 Teradat Tech
12.20 Vinli
12.21 Xevo

List of Tables
1 Global Automotive Data Management Market Outlook, By Region (2021-2030) ($MN)
2 Global Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
3 Global Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
4 Global Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
5 Global Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
6 Global Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
7 Global Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
8 Global Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
9 Global Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
10 Global Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
11 Global Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
12 Global Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
13 Global Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
14 Global Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
15 Global Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
16 Global Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
17 Global Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
18 Global Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
19 Global Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
20 Global Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
21 Global Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
22 Global Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
23 Global Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
24 Global Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
25 Global Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
26 Global Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
27 Global Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)
28 North America Automotive Data Management Market Outlook, By Country (2021-2030) ($MN)
29 North America Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
30 North America Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
31 North America Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
32 North America Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
33 North America Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
34 North America Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
35 North America Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
36 North America Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
37 North America Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
38 North America Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
39 North America Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
40 North America Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
41 North America Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
42 North America Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
43 North America Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
44 North America Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
45 North America Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
46 North America Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
47 North America Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
48 North America Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
49 North America Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
50 North America Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
51 North America Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
52 North America Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
53 North America Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
54 North America Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)
55 Europe Automotive Data Management Market Outlook, By Country (2021-2030) ($MN)
56 Europe Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
57 Europe Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
58 Europe Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
59 Europe Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
60 Europe Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
61 Europe Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
62 Europe Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
63 Europe Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
64 Europe Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
65 Europe Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
66 Europe Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
67 Europe Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
68 Europe Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
69 Europe Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
70 Europe Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
71 Europe Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
72 Europe Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
73 Europe Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
74 Europe Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
75 Europe Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
76 Europe Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
77 Europe Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
78 Europe Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
79 Europe Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
80 Europe Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
81 Europe Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)
82 Asia Pacific Automotive Data Management Market Outlook, By Country (2021-2030) ($MN)
83 Asia Pacific Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
84 Asia Pacific Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
85 Asia Pacific Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
86 Asia Pacific Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
87 Asia Pacific Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
88 Asia Pacific Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
89 Asia Pacific Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
90 Asia Pacific Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
91 Asia Pacific Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
92 Asia Pacific Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
93 Asia Pacific Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
94 Asia Pacific Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
95 Asia Pacific Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
96 Asia Pacific Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
97 Asia Pacific Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
98 Asia Pacific Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
99 Asia Pacific Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
100 Asia Pacific Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
101 Asia Pacific Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
102 Asia Pacific Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
103 Asia Pacific Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
104 Asia Pacific Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
105 Asia Pacific Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
106 Asia Pacific Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
107 Asia Pacific Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
108 Asia Pacific Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)
109 South America Automotive Data Management Market Outlook, By Country (2021-2030) ($MN)
110 South America Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
111 South America Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
112 South America Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
113 South America Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
114 South America Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
115 South America Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
116 South America Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
117 South America Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
118 South America Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
119 South America Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
120 South America Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
121 South America Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
122 South America Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
123 South America Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
124 South America Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
125 South America Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
126 South America Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
127 South America Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
128 South America Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
129 South America Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
130 South America Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
131 South America Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
132 South America Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
133 South America Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
134 South America Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
135 South America Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)
136 Middle East & Africa Automotive Data Management Market Outlook, By Country (2021-2030) ($MN)
137 Middle East & Africa Automotive Data Management Market Outlook, By Component (2021-2030) ($MN)
138 Middle East & Africa Automotive Data Management Market Outlook, By Software (2021-2030) ($MN)
139 Middle East & Africa Automotive Data Management Market Outlook, By Data Security (2021-2030) ($MN)
140 Middle East & Africa Automotive Data Management Market Outlook, By Data Integration (2021-2030) ($MN)
141 Middle East & Africa Automotive Data Management Market Outlook, By Data Quality (2021-2030) ($MN)
142 Middle East & Africa Automotive Data Management Market Outlook, By Data Migration (2021-2030) ($MN)
143 Middle East & Africa Automotive Data Management Market Outlook, By Service (2021-2030) ($MN)
144 Middle East & Africa Automotive Data Management Market Outlook, By Professional (2021-2030) ($MN)
145 Middle East & Africa Automotive Data Management Market Outlook, By Managed (2021-2030) ($MN)
146 Middle East & Africa Automotive Data Management Market Outlook, By Data Type (2021-2030) ($MN)
147 Middle East & Africa Automotive Data Management Market Outlook, By Structured (2021-2030) ($MN)
148 Middle East & Africa Automotive Data Management Market Outlook, By Unstructured (2021-2030) ($MN)
149 Middle East & Africa Automotive Data Management Market Outlook, By Vehicle Type (2021-2030) ($MN)
150 Middle East & Africa Automotive Data Management Market Outlook, By Autonomous (2021-2030) ($MN)
151 Middle East & Africa Automotive Data Management Market Outlook, By Non-autonomous (2021-2030) ($MN)
152 Middle East & Africa Automotive Data Management Market Outlook, By Deployment (2021-2030) ($MN)
153 Middle East & Africa Automotive Data Management Market Outlook, By On-premise (2021-2030) ($MN)
154 Middle East & Africa Automotive Data Management Market Outlook, By Cloud (2021-2030) ($MN)
155 Middle East & Africa Automotive Data Management Market Outlook, By Application (2021-2030) ($MN)
156 Middle East & Africa Automotive Data Management Market Outlook, By Dealer Performance Analysis (2021-2030) ($MN)
157 Middle East & Africa Automotive Data Management Market Outlook, By Driver & User Behavior Analysis (2021-2030) ($MN)
158 Middle East & Africa Automotive Data Management Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
159 Middle East & Africa Automotive Data Management Market Outlook, By Safety & Security Management (2021-2030) ($MN)
160 Middle East & Africa Automotive Data Management Market Outlook, By Usage-Based Insurance (UBI) (2021-2030) ($MN)
161 Middle East & Africa Automotive Data Management Market Outlook, By Warranty Analytics (2021-2030) ($MN)
162 Middle East & Africa Automotive Data Management Market Outlook, By Other Applications (2021-2030) ($MN)

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

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