Market Overview:
The global automotive data analytics market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for connected cars and the rising number of accidents across the globe. The on-premises segment is expected to dominate the market during the forecast period, owing to its advantages such as low cost and better security features as compared to cloud-based solutions. However, cloud-based solutions are expected to grow at a higher CAGR during the forecast period, due to their growing popularity among small and medium enterprises (SMEs).
Product Definition:
Automotive data analytics is the process of examining large amounts of automotive data in order to find trends and patterns. The purpose of automotive data analytics is to help automakers and suppliers make better decisions about product design, marketing, manufacturing, and service. Automotive data analytics can be used to improve fuel economy, reduce emissions, identify customer needs, optimize supply chains, and more.
On-premises:
On-premises solutions are used to collect, store and analyze data in the garage. It is a traditional way of working where all the systems are installed on the company’s premises for better management and control over every aspect of data. The growth factor for this segment is that it provides complete ownership to company which has all the software, hardware & database at their disposal which gives them total control over every aspect of operations.
Cloud:
Cloud and it's usage in Automotive Data Analytics market is a term used to define the services, software, and tools that are offered over the internet for data storage. The cloud computing technology helps in storing large amounts of data on digital servers instead of using traditional methods such as tapes or discs. Cloud computing has many benefits such as flexibility, scalability, cost-effectiveness which have increased its demand among various industry verticals including automotive.
Application Insights:
The traffic management application segment accounted for the largest revenue share in 2017. The increasing number of vehicles on roads, growing traffic problems, and a need to manage resources with effective utilization are some of the factors that contribute to its large market share. Various governments have taken initiatives to control vehicular pollution by introducing policies related to vehicle usage and ownership such as car pooling or vanpooling, ride sharing services among others. Such initiatives require data analytics for monitoring and evaluating their effectiveness.
Safety and security management is expected register the fastest CAGR over the forecast period owing to various government regulations pertaining safety issues in vehicles along with an increase in vehicle safety features such as airbags, antiskid brakes, traction control systems among others introduced after 2000s which contributes towards growth of this segment.
Regional Analysis:
North America accounted for the largest market share in 2017. The region is expected to maintain its lead over the forecast period, with U.S. being a key contributor to regional growth owing to technological advancements and high adoption of analytics-based solutions by OEMs and service providers in that country.
The Asia Pacific regional market was valued at USD X million in 2017 owing their rapidly growing economies coupled with increasing automobile production levels across countries such as China, India Japan South Korea etc.
Growth Factors:
- Increasing demand for connected cars and autonomous vehicles
- Rising number of electric and hybrid vehicles
- Proliferation of data-driven services across the automotive value chain
- Development of advanced analytics tools and platforms
- Growing number of partnerships between automakers, suppliers, and technology companies
Scope Of The Report
Report Attributes
Report Details
Report Title
Automotive Data Analytics Market Research Report
By Type
On-premises, Cloud
By Application
Traffic Management, Safety and Security Management, Driver and User Behavior Analysis, Warranty Analytics, Dealer Performance Analysis, Others
By Companies
SAP SE, Microsoft, Bosch Software Innovations, IBM, Oracle, Sight Machine, ZenDrive, PitStop, Carfit
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
218
Number of Tables & Figures
153
Customization Available
Yes, the report can be customized as per your need.
Global Automotive Data Analytics Market Report Segments:
The global Automotive Data Analytics market is segmented on the basis of:
Types
On-premises, Cloud
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Traffic Management, Safety and Security Management, Driver and User Behavior Analysis, Warranty Analytics, Dealer Performance Analysis, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- SAP SE
- Microsoft
- Bosch Software Innovations
- IBM
- Oracle
- Sight Machine
- ZenDrive
- PitStop
- Carfit
Highlights of The Automotive Data Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premises
- Cloud
- By Application:
- Traffic Management
- Safety and Security Management
- Driver and User Behavior Analysis
- Warranty Analytics
- Dealer Performance Analysis
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automotive Data Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Automotive data analytics is the process of using data to improve business decisions and operations within the automotive industry. Automotive data analytics can help companies understand consumer behavior, identify trends, and make more informed purchasing decisions. Additionally, it can help automakers optimize production processes and manage inventory levels.
Some of the key players operating in the automotive data analytics market are SAP SE, Microsoft, Bosch Software Innovations, IBM, Oracle, Sight Machine, ZenDrive, PitStop, Carfit.
The automotive data analytics market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automotive Data Analytics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automotive Data Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automotive Data Analytics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automotive Data Analytics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automotive Data Analytics Market Size & Forecast, 2018-2028
4.5.1 Automotive Data Analytics Market Size and Y-o-Y Growth
4.5.2 Automotive Data Analytics Market Absolute $ Opportunity
Chapter 5 Global Automotive Data Analytics Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Automotive Data Analytics Market Size Forecast by Type
5.2.1 On-premises
5.2.2 Cloud
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Automotive Data Analytics Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Automotive Data Analytics Market Size Forecast by Applications
6.2.1 Traffic Management
6.2.2 Safety and Security Management
6.2.3 Driver and User Behavior Analysis
6.2.4 Warranty Analytics
6.2.5 Dealer Performance Analysis
6.2.6 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automotive Data Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Automotive Data Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Automotive Data Analytics Analysis and Forecast
9.1 Introduction
9.2 North America Automotive Data Analytics Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Automotive Data Analytics Market Size Forecast by Type
9.6.1 On-premises
9.6.2 Cloud
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Automotive Data Analytics Market Size Forecast by Applications
9.10.1 Traffic Management
9.10.2 Safety and Security Management
9.10.3 Driver and User Behavior Analysis
9.10.4 Warranty Analytics
9.10.5 Dealer Performance Analysis
9.10.6 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Automotive Data Analytics Analysis and Forecast
10.1 Introduction
10.2 Europe Automotive Data Analytics Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Automotive Data Analytics Market Size Forecast by Type
10.6.1 On-premises
10.6.2 Cloud
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Automotive Data Analytics Market Size Forecast by Applications
10.10.1 Traffic Management
10.10.2 Safety and Security Management
10.10.3 Driver and User Behavior Analysis
10.10.4 Warranty Analytics
10.10.5 Dealer Performance Analysis
10.10.6 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Automotive Data Analytics Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Automotive Data Analytics Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Automotive Data Analytics Market Size Forecast by Type
11.6.1 On-premises
11.6.2 Cloud
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Automotive Data Analytics Market Size Forecast by Applications
11.10.1 Traffic Management
11.10.2 Safety and Security Management
11.10.3 Driver and User Behavior Analysis
11.10.4 Warranty Analytics
11.10.5 Dealer Performance Analysis
11.10.6 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Automotive Data Analytics Analysis and Forecast
12.1 Introduction
12.2 Latin America Automotive Data Analytics Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Automotive Data Analytics Market Size Forecast by Type
12.6.1 On-premises
12.6.2 Cloud
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Automotive Data Analytics Market Size Forecast by Applications
12.10.1 Traffic Management
12.10.2 Safety and Security Management
12.10.3 Driver and User Behavior Analysis
12.10.4 Warranty Analytics
12.10.5 Dealer Performance Analysis
12.10.6 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Automotive Data Analytics Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Automotive Data Analytics Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Automotive Data Analytics Market Size Forecast by Type
13.6.1 On-premises
13.6.2 Cloud
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Automotive Data Analytics Market Size Forecast by Applications
13.10.1 Traffic Management
13.10.2 Safety and Security Management
13.10.3 Driver and User Behavior Analysis
13.10.4 Warranty Analytics
13.10.5 Dealer Performance Analysis
13.10.6 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Automotive Data Analytics Market: Competitive Dashboard
14.2 Global Automotive Data Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 SAP SE
14.3.2 Microsoft
14.3.3 Bosch Software Innovations
14.3.4 IBM
14.3.5 Oracle
14.3.6 Sight Machine
14.3.7 ZenDrive
14.3.8 PitStop
14.3.9 Carfit
