What is scope of the report?

The base year for the study has been considered 2019, historic year 2014 and 2018. Read More

What are the significant segments operating in the market?

Market is segmented on the basis. Read More

What are the vital market dynamics?

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. Read More

What does a company profile includes?

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering. Read More

Global Automotive Data Analytics Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publish Date: Feb, 2020
Report ID: 407864
Category: Business Services
Pages: 104

$3480

Market Overview

The global Automotive Data Analytics market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.

The Automotive Data Analytics market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Automotive Data Analytics market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Automotive Data Analytics market has been segmented into:

On-Premises

On-Demand

Cloud

By Application, Automotive Data Analytics has been segmented into:

Traffic Management

Safety and Security Management

Driver and User Behavior Analysis

Warranty Analytics

Dealer Performance Analysis

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Automotive Data Analytics market presented in the report. This section sheds light on the sales growth of different regional and country-level Automotive Data Analytics markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Automotive Data Analytics market.

The report offers in-depth assessment of the growth and other aspects of the Automotive Data Analytics market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Automotive Data Analytics Market Share Analysis

Automotive Data Analytics competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Automotive Data Analytics sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Automotive Data Analytics sales, revenue and market share for each player covered in this report.

The major players covered in Automotive Data Analytics are:

SAP SE

PitStop

IBM

Microsoft

ZenDrive

Bosch Software Innovations

Sight Machine

Oracle

Carfit

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Table of Contents

1 Automotive Data Analytics Market Overview

1.1 Product Overview and Scope of Automotive Data Analytics

1.2 Classification of Automotive Data Analytics by Type

1.2.1 Global Automotive Data Analytics Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Automotive Data Analytics Revenue Market Share by Type in 2019

1.2.3 On-Premises

1.2.4 On-Demand

1.2.5 Cloud

1.3 Global Automotive Data Analytics Market by Application

1.3.1 Overview: Global Automotive Data Analytics Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Traffic Management

1.3.3 Safety and Security Management

1.3.4 Driver and User Behavior Analysis

1.3.5 Warranty Analytics

1.3.6 Dealer Performance Analysis

1.3.7 Others

1.4 Global Automotive Data Analytics Market by Regions

1.4.1 Global Automotive Data Analytics Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Automotive Data Analytics (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Automotive Data Analytics Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Automotive Data Analytics Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Automotive Data Analytics Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Automotive Data Analytics Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Automotive Data Analytics Status and Prospect (2015-2025)

2 Company Profiles

2.1 SAP SE

2.1.1 SAP SE Details

2.1.2 SAP SE Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 SAP SE SWOT Analysis

2.1.4 SAP SE Product and Services

2.1.5 SAP SE Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.2 PitStop

2.2.1 PitStop Details

2.2.2 PitStop Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 PitStop SWOT Analysis

2.2.4 PitStop Product and Services

2.2.5 PitStop Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.3 IBM

2.3.1 IBM Details

2.3.2 IBM Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 IBM SWOT Analysis

2.3.4 IBM Product and Services

2.3.5 IBM Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.4 Microsoft

2.4.1 Microsoft Details

2.4.2 Microsoft Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Microsoft SWOT Analysis

2.4.4 Microsoft Product and Services

2.4.5 Microsoft Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.5 ZenDrive

2.5.1 ZenDrive Details

2.5.2 ZenDrive Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 ZenDrive SWOT Analysis

2.5.4 ZenDrive Product and Services

2.5.5 ZenDrive Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.6 Bosch Software Innovations

2.6.1 Bosch Software Innovations Details

2.6.2 Bosch Software Innovations Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 Bosch Software Innovations SWOT Analysis

2.6.4 Bosch Software Innovations Product and Services

2.6.5 Bosch Software Innovations Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.7 Sight Machine

2.7.1 Sight Machine Details

2.7.2 Sight Machine Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Sight Machine SWOT Analysis

2.7.4 Sight Machine Product and Services

2.7.5 Sight Machine Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.8 Oracle

2.8.1 Oracle Details

2.8.2 Oracle Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Oracle SWOT Analysis

2.8.4 Oracle Product and Services

2.8.5 Oracle Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.9 Carfit

2.9.1 Carfit Details

2.9.2 Carfit Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Carfit SWOT Analysis

2.9.4 Carfit Product and Services

2.9.5 Carfit Automotive Data Analytics Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Automotive Data Analytics Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Automotive Data Analytics Players Market Share

3.2.2 Top 10 Automotive Data Analytics Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Automotive Data Analytics Revenue and Market Share by Regions

4.2 North America Automotive Data Analytics Revenue and Growth Rate (2015-2020)

4.3 Europe Automotive Data Analytics Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Automotive Data Analytics Revenue and Growth Rate (2015-2020)

4.5 South America Automotive Data Analytics Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Automotive Data Analytics Revenue and Growth Rate (2015-2020)

5 North America Automotive Data Analytics Revenue by Countries

5.1 North America Automotive Data Analytics Revenue by Countries (2015-2020)

5.2 USA Automotive Data Analytics Revenue and Growth Rate (2015-2020)

5.3 Canada Automotive Data Analytics Revenue and Growth Rate (2015-2020)

5.4 Mexico Automotive Data Analytics Revenue and Growth Rate (2015-2020)

6 Europe Automotive Data Analytics Revenue by Countries

6.1 Europe Automotive Data Analytics Revenue by Countries (2015-2020)

6.2 Germany Automotive Data Analytics Revenue and Growth Rate (2015-2020)

6.3 UK Automotive Data Analytics Revenue and Growth Rate (2015-2020)

6.4 France Automotive Data Analytics Revenue and Growth Rate (2015-2020)

6.5 Russia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

6.6 Italy Automotive Data Analytics Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Automotive Data Analytics Revenue by Countries

7.1 Asia-Pacific Automotive Data Analytics Revenue by Countries (2015-2020)

7.2 China Automotive Data Analytics Revenue and Growth Rate (2015-2020)

7.3 Japan Automotive Data Analytics Revenue and Growth Rate (2015-2020)

7.4 Korea Automotive Data Analytics Revenue and Growth Rate (2015-2020)

7.5 India Automotive Data Analytics Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

8 South America Automotive Data Analytics Revenue by Countries

8.1 South America Automotive Data Analytics Revenue by Countries (2015-2020)

8.2 Brazil Automotive Data Analytics Revenue and Growth Rate (2015-2020)

8.3 Argentina Automotive Data Analytics Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Automotive Data Analytics by Countries

9.1 Middle East & Africa Automotive Data Analytics Revenue by Countries (2015-2020)

9.2 Saudi Arabia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

9.3 UAE Automotive Data Analytics Revenue and Growth Rate (2015-2020)

9.4 Egypt Automotive Data Analytics Revenue and Growth Rate (2015-2020)

9.5 South Africa Automotive Data Analytics Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Automotive Data Analytics Revenue and Market Share by Type (2015-2020)

10.2 Global Automotive Data Analytics Market Forecast by Type (2019-2024)

10.3 On-Premises Revenue Growth Rate (2015-2025)

10.4 On-Demand Revenue Growth Rate (2015-2025)

10.5 Cloud Revenue Growth Rate (2015-2025)

11 Global Automotive Data Analytics Market Segment by Application

11.1 Global Automotive Data Analytics Revenue Market Share by Application (2015-2020)

11.2 Automotive Data Analytics Market Forecast by Application (2019-2024)

11.3 Traffic Management Revenue Growth (2015-2020)

11.4 Safety and Security Management Revenue Growth (2015-2020)

11.5 Driver and User Behavior Analysis Revenue Growth (2015-2020)

11.6 Warranty Analytics Revenue Growth (2015-2020)

11.7 Dealer Performance Analysis Revenue Growth (2015-2020)

11.8 Others Revenue Growth (2015-2020)

12 Global Automotive Data Analytics Market Size Forecast (2021-2025)

12.1 Global Automotive Data Analytics Market Size Forecast (2021-2025)

12.2 Global Automotive Data Analytics Market Forecast by Regions (2021-2025)

12.3 North America Automotive Data Analytics Revenue Market Forecast (2021-2025)

12.4 Europe Automotive Data Analytics Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Automotive Data Analytics Revenue Market Forecast (2021-2025)

12.6 South America Automotive Data Analytics Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Automotive Data Analytics Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US

List of Tables

Table 1. Global Automotive Data Analytics Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Automotive Data Analytics by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Automotive Data Analytics Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Automotive Data Analytics Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. SAP SE Corporate Information, Location and Competitors

Table 6. SAP SE Automotive Data Analytics Major Business

Table 7. SAP SE Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 8. SAP SE SWOT Analysis

Table 9. SAP SE Automotive Data Analytics Product and Solutions

Table 10. SAP SE Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. PitStop Corporate Information, Location and Competitors

Table 12. PitStop Automotive Data Analytics Major Business

Table 13. PitStop Automotive Data Analytics Total Revenue (USD Million) (2018-2019)

Table 14. PitStop SWOT Analysis

Table 15. PitStop Automotive Data Analytics Product and Solutions

Table 16. PitStop Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. IBM Corporate Information, Location and Competitors

Table 18. IBM Automotive Data Analytics Major Business

Table 19. IBM Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 20. IBM SWOT Analysis

Table 21. IBM Automotive Data Analytics Product and Solutions

Table 22. IBM Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Microsoft Corporate Information, Location and Competitors

Table 24. Microsoft Automotive Data Analytics Major Business

Table 25. Microsoft Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 26. Microsoft SWOT Analysis

Table 27. Microsoft Automotive Data Analytics Product and Solutions

Table 28. Microsoft Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. ZenDrive Corporate Information, Location and Competitors

Table 30. ZenDrive Automotive Data Analytics Major Business

Table 31. ZenDrive Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 32. ZenDrive SWOT Analysis

Table 33. ZenDrive Automotive Data Analytics Product and Solutions

Table 34. ZenDrive Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Bosch Software Innovations Corporate Information, Location and Competitors

Table 36. Bosch Software Innovations Automotive Data Analytics Major Business

Table 37. Bosch Software Innovations Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 38. Bosch Software Innovations SWOT Analysis

Table 39. Bosch Software Innovations Automotive Data Analytics Product and Solutions

Table 40. Bosch Software Innovations Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Sight Machine Corporate Information, Location and Competitors

Table 42. Sight Machine Automotive Data Analytics Major Business

Table 43. Sight Machine Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 44. Sight Machine SWOT Analysis

Table 45. Sight Machine Automotive Data Analytics Product and Solutions

Table 46. Sight Machine Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Oracle Corporate Information, Location and Competitors

Table 48. Oracle Automotive Data Analytics Major Business

Table 49. Oracle Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 50. Oracle SWOT Analysis

Table 51. Oracle Automotive Data Analytics Product and Solutions

Table 52. Oracle Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Carfit Corporate Information, Location and Competitors

Table 54. Carfit Automotive Data Analytics Major Business

Table 55. Carfit Automotive Data Analytics Total Revenue (USD Million) (2017-2018)

Table 56. Carfit SWOT Analysis

Table 57. Carfit Automotive Data Analytics Product and Solutions

Table 58. Carfit Automotive Data Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Global Automotive Data Analytics Revenue (Million USD) by Players (2015-2020)

Table 60. Global Automotive Data Analytics Revenue Share by Players (2015-2020)

Table 61. Global Automotive Data Analytics Revenue (Million USD) by Regions (2015-2020)

Table 62. Global Automotive Data Analytics Revenue Market Share by Regions (2015-2020)

Table 63. North America Automotive Data Analytics Revenue by Countries (2015-2020)

Table 64. North America Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Table 65. Europe Automotive Data Analytics Revenue (Million USD) by Countries (2015-2020)

Table 66. Asia-Pacific Automotive Data Analytics Revenue (Million USD) by Countries (2015-2020)

Table 67. South America Automotive Data Analytics Revenue by Countries (2015-2020)

Table 68. South America Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Table 69. Middle East and Africa Automotive Data Analytics Revenue (Million USD) by Countries (2015-2020)

Table 70. Middle East and Africa Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Table 71. Global Automotive Data Analytics Revenue (Million USD) by Type (2015-2020)

Table 72. Global Automotive Data Analytics Revenue Share by Type (2015-2020)

Table 73. Global Automotive Data Analytics Revenue Forecast by Type (2021-2025)

Table 74. Global Automotive Data Analytics Revenue by Application (2015-2020)

Table 75. Global Automotive Data Analytics Revenue Share by Application (2015-2020)

Table 76. Global Automotive Data Analytics Revenue Forecast by Application (2021-2025)

Table 77. Global Automotive Data Analytics Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Automotive Data Analytics Picture

Figure 2. Global Automotive Data Analytics Revenue Market Share by Type in 2019

Figure 3. On-Premises Picture

Figure 4. On-Demand Picture

Figure 5. Cloud Picture

Figure 6. Automotive Data Analytics Revenue Market Share by Application in 2019

Figure 7. Traffic Management Picture

Figure 8. Safety and Security Management Picture

Figure 9. Driver and User Behavior Analysis Picture

Figure 10. Warranty Analytics Picture

Figure 11. Dealer Performance Analysis Picture

Figure 12. Others Picture

Figure 13. Global Automotive Data Analytics Revenue (USD Million) and Growth Rate (2015-2025)

Figure 14. North America Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Europe Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. Asia-Pacific Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. South America Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Middle East and Africa Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global Automotive Data Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Global Automotive Data Analytics Revenue Share by Players in 2019

Figure 21. Global Top 5 Players Automotive Data Analytics Revenue Market Share in 2019

Figure 22. Global Top 10 Players Automotive Data Analytics Revenue Market Share in 2019

Figure 23. Key Players Market Share Trend

Figure 24. Global Automotive Data Analytics Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 25. Global Automotive Data Analytics Revenue Market Share by Regions (2015-2020)

Figure 26. Global Automotive Data Analytics Revenue Market Share by Regions in 2018

Figure 27. North America Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 28. Europe Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 29. Asia-Pacific Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 30. South America Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 31. Middle East and Africa Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 32. North America Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Figure 33. North America Automotive Data Analytics Revenue Market Share by Countries in 2019

Figure 34. USA Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 35. Canada Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 36. Mexico Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 37. Europe Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Figure 38. Europe Automotive Data Analytics Revenue Market Share by Countries in 2019

Figure 39. Germany Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 40. UK Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 41. France Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 42. Russia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 43. Italy Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 44. Asia-Pacific Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Figure 45. Asia-Pacific Automotive Data Analytics Revenue Market Share by Countries in 2019

Figure 46. China Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 47. Japan Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 48. Korea Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 49. India Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 50. Southeast Asia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 51. South America Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Figure 52. South America Automotive Data Analytics Revenue Market Share by Countries in 2019

Figure 53. Brazil Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 54. Argentina Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 55. Middle East and Africa Automotive Data Analytics Revenue Market Share by Countries (2015-2020)

Figure 56. Middle East and Africa Automotive Data Analytics Revenue Market Share by Countries in 2019

Figure 57. Saudi Arabia Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 58. UAE Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 59. Egypt Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 60. South Africa Automotive Data Analytics Revenue and Growth Rate (2015-2020)

Figure 61. Global Automotive Data Analytics Revenue Share by Type (2015-2020)

Figure 62. Global Automotive Data Analytics Revenue Share by Type in 2019

Figure 63. Global Automotive Data Analytics Market Share Forecast by Type (2021-2025)

Figure 64. Global On-Premises Revenue Growth Rate (2015-2020)

Figure 65. Global On-Demand Revenue Growth Rate (2015-2020)

Figure 66. Global Cloud Revenue Growth Rate (2015-2020)

Figure 67. Global Automotive Data Analytics Revenue Share by Application (2015-2020)

Figure 68. Global Automotive Data Analytics Revenue Share by Application in 2019

Figure 69. Global Automotive Data Analytics Market Share Forecast by Application (2021-2025)

Figure 70. Global Traffic Management Revenue Growth Rate (2015-2020)

Figure 71. Global Safety and Security Management Revenue Growth Rate (2015-2020)

Figure 72. Global Driver and User Behavior Analysis Revenue Growth Rate (2015-2020)

Figure 73. Global Warranty Analytics Revenue Growth Rate (2015-2020)

Figure 74. Global Dealer Performance Analysis Revenue Growth Rate (2015-2020)

Figure 75. Global Others Revenue Growth Rate (2015-2020)

Figure 76. Global Automotive Data Analytics Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 77. Global Automotive Data Analytics Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 78. Global Automotive Data Analytics Revenue Market Share Forecast by Regions (2021-2025)

Figure 79. North America Automotive Data Analytics Revenue Market Forecast (2021-2025)

Figure 80. Europe Automotive Data Analytics Revenue Market Forecast (2021-2025)

Figure 81. Asia-Pacific Automotive Data Analytics Revenue Market Forecast (2021-2025)

Figure 82. South America Automotive Data Analytics Revenue Market Forecast (2021-2025)

Figure 83. Middle East and Africa Automotive Data Analytics Revenue Market Forecast (2021-2025)

Figure 84. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

Market research helps businesses strengthen a company’s position
Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
Market research helps in identifying the potential threats and opportunities associated with the business industry
Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

Data Collection
Data Synthesis
Market Deduction & Formulation
Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends.
Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information.

We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:

Export & Import Data
Business Information related to trade and its statistics
Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.

In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
Examining demographic along with psychographic segmentation for market evaluation
Analyzing the macro and micro-economic indicators for each demography
Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology.

Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.

The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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Why Choose Us

ProactiveWe manage our resources 24/7 to identify issues and address them before they become problems

Quality & ReliabilityWe are committed to providing reliable and highly accurate data with an excellent quality control system

Global Outreach6 Major regions and 40+ countries level analysis accomplished

Competitive PricingOur pricing strategy is highly competitive in the market, without compensating on the quality and the timeline of project delivery

Testimonials

Hi John,
Thanks for the report. We've been going through it and see some good data on the market and players. –

Kennedy Brown
Health Technology Innovation
United States

Hi Rahul,
Thank You for the report it is good and beneficial for me.
Thank You in Advance

Mika Salomäki

Dear Siddhartha,
Thank you for your fast reply. The report arrived safe and sound, evrything looks all right.
Thank you very much for your assitance and I will be looking forward to another opportunity for cooperation.

ONDŘEJ ŠUPKA
Analytics Department
ČESKÁ ZBROJOVKA A.S.

Dear Siddhartha,
The report looks good, and we believe the material mix is more realistic now. It is good to know you report “Net” Manufacturing Selling Price, as that can make a difference in how we view the numbers. The reports were great and we appreciate your working with us.
Thanks for all your help!