The global big data in automotive market is expected to grow from USD 3.5 billion in 2017 to USD 7.2 billion by 2030, at a CAGR of 12.6% during the forecast period. The growth of this market can be attributed to the increasing demand for connected cars and the need for data analytics in order to improve customer experience and reduce costs associated with vehicle maintenance, as well as increase revenue through new services such as predictive maintenance and autonomous driving.
The global big data in automotive market is segmented on the basis of type into hardware, software, professional services; on the basis of application into customer, automobile manufacturer, automobile service provider and transportation management company; and on the basis of region into North America (NA), Latin America (LA), Europe (EU), Asia Pacific (APAC) and Middle East & Africa (MEA).
Some Of The Growth Factors Of This Market:
- The automotive industry is one of the largest industries in the world, with a market size of $2 trillion.
- The automotive industry is undergoing a major transformation from traditional to digital and connected cars, which will lead to an increase in data generated by vehicles.
- Connected cars generate more than 100 gigabytes of data per hour, which can be used for predictive maintenance and other purposes such as improving driver safety and reducing traffic congestion.
- Data generated by connected cars can also be used for autonomous driving applications such as self-parking or lane departure warnings.
Industry Growth Insights published a new data on “Big Data in Automotive Market”. The research report is titled “Big Data in Automotive Market research by Types (Hardware, Software, Professional Services), By Applications (Customer, Automobile Manufacturer, Automobile Service Provider, Transportation Management Company, Other), By Players/Companies Drust, Sight Machine, ZenDrive, PitStop, CARFIT, Tourmaline Labs, Carvoyant, Air, Carffeine, InterraIT, Archer Software, IBM”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Big Data in Automotive Market Research Report
By Type
Hardware, Software, Professional Services
By Application
Customer, Automobile Manufacturer, Automobile Service Provider, Transportation Management Company, Other
By Companies
Drust, Sight Machine, ZenDrive, PitStop, CARFIT, Tourmaline Labs, Carvoyant, Air, Carffeine, InterraIT, Archer Software, IBM
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
247
Number of Tables & Figures
173
Customization Available
Yes, the report can be customized as per your need.
Global Big Data in Automotive Market Report Segments:
The global Big Data in Automotive market is segmented on the basis of:
Types
Hardware, Software, Professional Services
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
Customer, Automobile Manufacturer, Automobile Service Provider, Transportation Management Company, Other
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:
- Drust
- Sight Machine
- ZenDrive
- PitStop
- CARFIT
- Tourmaline Labs
- Carvoyant
- Air
- Carffeine
- InterraIT
- Archer Software
- IBM
Highlights of The Big Data in Automotive 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:
- Hardware
- Software
- Professional Services
- By Application:
- Customer
- Automobile Manufacturer
- Automobile Service Provider
- Transportation Management Company
- Other
- 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 Big Data in Automotive 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?
Big data is a term used to describe the large volume of data that can be processed and analyzed quickly. This type of data is often found in fields such as automotive, finance, retail, and healthcare. Big data can help automakers improve their product designs, optimize production processes, and better understand customer behavior.
Some of the key players operating in the big data in automotive market are Drust, Sight Machine, ZenDrive, PitStop, CARFIT, Tourmaline Labs, Carvoyant, Air, Carffeine, InterraIT, Archer Software, IBM.
The big data in automotive market is expected to grow at a compound annual growth rate of 12.6%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Big Data in Automotive Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Big Data in Automotive Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Big Data in Automotive Market - Supply Chain
4.5. Global Big Data in Automotive Market Forecast
4.5.1. Big Data in Automotive Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Big Data in Automotive Market Size (000 Units) and Y-o-Y Growth
4.5.3. Big Data in Automotive Market Absolute $ Opportunity
5. Global Big Data in Automotive Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Big Data in Automotive Market Size and Volume Forecast by Type
5.3.1. Hardware
5.3.2. Software
5.3.3. Professional Services
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Big Data in Automotive Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Big Data in Automotive Market Size and Volume Forecast by Application
6.3.1. Customer
6.3.2. Automobile Manufacturer
6.3.3. Automobile Service Provider
6.3.4. Transportation Management Company
6.3.5. Other
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Big Data in Automotive Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Big Data in Automotive Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Big Data in Automotive Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Big Data in Automotive Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Big Data in Automotive Demand Share Forecast, 2019-2026
9. North America Big Data in Automotive Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Big Data in Automotive Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Big Data in Automotive Market Size and Volume Forecast by Application
9.4.1. Customer
9.4.2. Automobile Manufacturer
9.4.3. Automobile Service Provider
9.4.4. Transportation Management Company
9.4.5. Other
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Big Data in Automotive Market Size and Volume Forecast by Type
9.7.1. Hardware
9.7.2. Software
9.7.3. Professional Services
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Big Data in Automotive Demand Share Forecast, 2019-2026
10. Latin America Big Data in Automotive Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Big Data in Automotive Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Big Data in Automotive Market Size and Volume Forecast by Application
10.4.1. Customer
10.4.2. Automobile Manufacturer
10.4.3. Automobile Service Provider
10.4.4. Transportation Management Company
10.4.5. Other
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Big Data in Automotive Market Size and Volume Forecast by Type
10.7.1. Hardware
10.7.2. Software
10.7.3. Professional Services
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Big Data in Automotive Demand Share Forecast, 2019-2026
11. Europe Big Data in Automotive Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Big Data in Automotive Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Big Data in Automotive Market Size and Volume Forecast by Application
11.4.1. Customer
11.4.2. Automobile Manufacturer
11.4.3. Automobile Service Provider
11.4.4. Transportation Management Company
11.4.5. Other
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Big Data in Automotive Market Size and Volume Forecast by Type
11.7.1. Hardware
11.7.2. Software
11.7.3. Professional Services
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Big Data in Automotive Demand Share, 2019-2026
12. Asia Pacific Big Data in Automotive Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Big Data in Automotive Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Big Data in Automotive Market Size and Volume Forecast by Application
12.4.1. Customer
12.4.2. Automobile Manufacturer
12.4.3. Automobile Service Provider
12.4.4. Transportation Management Company
12.4.5. Other
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Big Data in Automotive Market Size and Volume Forecast by Type
12.7.1. Hardware
12.7.2. Software
12.7.3. Professional Services
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Big Data in Automotive Demand Share, 2019-2026
13. Middle East & Africa Big Data in Automotive Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Big Data in Automotive Market Size and Volume 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. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Big Data in Automotive Market Size and Volume Forecast by Application
13.4.1. Customer
13.4.2. Automobile Manufacturer
13.4.3. Automobile Service Provider
13.4.4. Transportation Management Company
13.4.5. Other
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Big Data in Automotive Market Size and Volume Forecast by Type
13.7.1. Hardware
13.7.2. Software
13.7.3. Professional Services
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Big Data in Automotive Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Big Data in Automotive Market: Market Share Analysis
14.2. Big Data in Automotive Distributors and Customers
14.3. Big Data in Automotive Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Drust
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Sight Machine
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. ZenDrive
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. PitStop
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. CARFIT
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Tourmaline Labs
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Carvoyant
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Air
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Carffeine
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. InterraIT
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Archer Software
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. IBM
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. COMPANY 13
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. COMPANY 14
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. COMPANY 15
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
