Automotive Data Monetization Market | CAGR of 94% by 2027

Global Automotive Data Monetization Market Research Report: Forecast (2022-2027)

By Application (Insurance, Government, Predictive Maintenance, Mobility as a Service), By Type (Direct, Indirect), By Deployment (Cloud, On Premises), By Region (North America, South America, Europe,... ... th America, Europe, Asia-Pacific, the Middle East & Africa), By Company (Amazon Web Services, Microsoft Corporation, Continental AG, IBM Corporation, Herman International, Tesla Inc., Wejo Limited, Oracle Corporation, Xevo Inc., Tech Mahindra Ltd, Vinli Inc., SmartO, The Floow ltd, Otonomo Technologies, Caruso GmbH.) Read more

Automotive
Jan 2022
Pages 232
Report Format: PDF, Excel, PPT

Market Definition

Data Monetization is a technique of utilizing data to obtain quantifiable business gains. This technique generally deploys internal or indirect methods to make informed decisions, measure overall business performance, and strategize future growth roadmap. With the rising launch of autonomous vehicles, and soaring sales of Electric Vehicles (EV), the demand for data monetization in the automotive sector is growing significantly worldwide.

Market Insights

The Global Automotive Data Monetization Market is projected to grow at a CAGR of 94% during the forecast period, 2022-27. The increasing use of data monetization tools such as Inzata, etc., by automotive manufacturers & service providers to effectively determine the performance of their products & services, which could aid in corrective maintenance, has made a significant contribution to the global demand for automotive data monetization. Other factors contributing to the growth of the Global Automotive Data Monetization Market include the rising mandates by the European Union & the US government to implement Advanced Driving Assistance Systems (ADAS) such as sensors, cameras, data recorders, etc., to eliminate the overburden of mortality caused by road accidents. According to the American Bar Association (ABA), the total number of motor vehicle crashes as a result of poor driving behaviors in the US accounted for about 1.8 million injuries & 33,000 fatalities in 2018.

Report Coverage	Details
Study Period	Historical Data: 2017-20
	Base Year: 2021
	Forecast Period: 2022-27
CAGR (2022-2027)	94%
Regions Covered	North America: US, Canada, Mexico
	Europe: Germany, The UK, France, Italy, Spain, Rest of Europe
	Asia-Pacific: China, Japan, South Korea, India, Australia & New Zealand Thailand
	South America: Brazil, Rest of South America
	Middle East & Africa: UAE, Saudi Arabia, Turkey, Rest of Middle East & Africa
Key Companies Profiled	Amazon Web Services, Microsoft Corporation, Continental AG, IBM Corporation, Herman International, Tesla Inc., Wejo Limited, Oracle Corporation, Xevo Inc., Tech Mahindra Ltd, Vinli Inc., SmartO, The Floow ltd, Otonomo Technologies, Caruso GmbH
Unit Denominations	USD Million/Billion

Additionally, the European Union 2019 reported around 22,800 fatalities caused by motor vehicle accidents in Europe. Therefore, to reduce mortality rates & protect pedestrians, passengers, cyclists, drivers, etc., the European Union has issued a mandate for the deployment of ADAS in vehicles beginning in June 2022, intending to reduce 90% of fatalities & road injuries resulting because of human error. Further, with the deployment of the Advanced Driving Assistance System (ADAS) to monitor on-road driver & vehicle behavior & monetize the data to promote industry benefits such as insurance premiums, predictive maintenance, automotive performance enhancement, and so on, the demand for automotive data monetization is expected to grow in the coming years.

Moreover, the increasing penetration of mobility-as-a-service providers such as Uber, Ola, and others to cater to the emerging demand for transportation has facilitated the need for Advanced Driving Assistance Systems to provide enhanced passenger safety & keep track of vehicle performance & route. These factors are expected to lead to the growth of the Global Automotive Data Monetization Market during 2022-2027.

Impact of Covid-19 on the Automotive Data Monetization Market

The COVID-19 pandemic in 2020 impacted almost every industry globally, and the centralized global automotive supply chain also got severely disrupted by the sudden lockdown & shutdown of production plants. Moreover, the lockdown imposed by the government resulted in a temporary shutdown of manufacturing units, reduced import & export orders, non-availability of skilled workers, and delay in production.

Furthermore, the relaxation in trade restrictions & re-initiation of automotive manufacturing activities across North America, Asia-Pacific, and Europe resulted in a significant increase in the demand for semiconductors, hence leading to a global chip shortage in the automotive industry. This prompted delays in automotive production activities & extended the launch of next-generation, high-end passenger vehicles. For instance:

In 2021, Toyota Motor Corporation halted the production activities at two of its factories in Japan due to a chip supply shortage.

However, with the rising initiatives of the government of the US, India, etc., to promote research and production of chip technology to meet the needs of domestic & international automakers, the automotive monetization market is expected to grow at a lucrative scale in the next few years.

Introduction
1. Product Definition
2. Research Process
3. Assumptions
4. Market Segmentation
Preface
Executive Summary
Impact of COVID-19 on Global Automotive Data Monetization Market
Global Automotive Data Monetization Market Start-up Ecosystem
1. Name of the Start-Ups
2. Funding Raised
3. Key Investors
4. Purpose of Funding Raised
Global Automotive Data Monetization Market Trends & Insights
Global Automotive Data Monetization Market Dynamics
1. Drivers
2. Challenges
Global Automotive Data Monetization Market Value Chain Analysis
Global Automotive Data Monetization Market Hotspot & Opportunities
Global Automotive Data Monetization Market Outlook, 2017-2027F
1. Market Size & Forecast
  1. By Value
2. Market Share & Forecast
  1. By Application
    1. Insurance
    2. Government
    3. Predictive Maintenance
    4. Mobility as a Service
  2. By Type
    1. Direct
    2. Indirect
  3. By Deployment
    1. Cloud
    2. On Premises
  4. By Region
    1. North America
    2. South America
    3. Europe
    4. Middle East & Africa
    5. Asia Pacific
  5. By Competition
    1. Competition Characteristics
    2. Leading Competitors and their Market Share
    3. Mergers & Acquisitions
    4. Strategic Alliances and Joint Ventures
North America Automotive Data Monetization Market Outlook, 2017-2027
1. Market Size & Analysis
  1. By Value
2. Market Share & Analysis
  1. By Application
  2. By Type
  3. By Deployment
  4. By Country
    1. The US
    2. Canada
    3. Mexico
3. The US Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
4. Canada Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
5. Mexico Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
South America Automotive Data Monetization Market Outlook, 2017-2027
1. Market Size & Analysis
  1. By Value
2. Market Share & Analysis
  1. By Application
  2. By Type
  3. By Deployment
  4. By Country
    1. Brazil
    2. Rest of South America
Europe Automotive Data Monetization Market Outlook, 2017-2027
1. Market Size & Analysis
  1. By Value
2. Market Share & Analysis
  1. By Application
  2. By Type
  3. By Deployment
  4. By Country
    1. Germany
    2. The UK
    3. France
    4. Italy
    5. Spain
    6. Rest of Europe
3. Germany Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
4. The UK Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
5. France Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
6. Italy Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
7. Spain Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
Middle East & Africa Automotive Data Monetization Market Outlook, 2017-2027
1. Market Size & Analysis
  1. By Value
2. Market Share & Analysis
  1. By Application
  2. By Type
  3. By Deployment
  4. By Country
    1. UAE
    2. Saudi Arabia
    3. Turkey
    4. Rest of Middle East & Africa
Asia Pacific Automotive Data Monetization Market Outlook, 2017-2027
1. Market Size & Analysis
  1. By Value
2. Market Share & Analysis
  1. By Application
  2. By Type
  3. By Deployment
  4. By Country
    1. China
    2. Japan
    3. South Korea
    4. India
    5. Australia & New Zealand
    6. Thailand
    7. Rest of Asia Pacific
3. China Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
4. Japan Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
5. South Korea Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
6. India Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
7. Australia & New Zealand Automotive Data Monetization Market Outlook, 2017-2027
  1. Market Size & Analysis
    1. By Value
  2. Market Share & Analysis
    1. By Application
Company Profiles
1. Amazon Web Services
2. Microsoft Corporation
3. Continental AG
4. IBM Corporation
5. Herman International
6. Tesla Inc
7. Wejo Limited
8. Oracle Corporation
9. Xevo Inc.
10. Tech Mahindra Ltd
11. Vinli Inc
12. SmartO
13. The Floow ltd
14. Otonomo Technologies
15. Caruso GmbH
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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