Automotive Data Monetization Market Primed for a 94% CAGR Rise Through 2022-2027

Automotive Data Monetization Market Primed for a 94% CAGR Rise Through 2022-2027

Global Automotive Data Monetization Market: In-Depth Analysis and Forecasts for 2022-2027

MarkNtel Advisors, a leading market research firm, has showed its latest study titled "Automotive Data Monetization Market", offering a detailed industry overview and market perspective. This comprehensive research provides insights into the current state of the market, highlighting recent advancements and emerging trends.

The report combines in-depth quantitative analysis with qualitative analysis; it ranges from macro-overviews of the overall market size, industry chain, and market dynamics to micro details of segment markets. This, as a result, provides a thorough overview of the industry under study as well as a profound understanding of all of its important features.

Analysis and Insights into the Automotive Data Monetization Market: 2022-2027

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.

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What are the primary factors driving the growth of the Automotive Data Monetization Market?

Key Driver: Booming Worldwide Popularity of Connected Cars

The growing demand for the Advanced Driving Assistance System (ADAS) to assist drivers with safe functionality & reduce car accidents has been registering an exponential growth over the past couple of years. Government regulations in various European & North American countries regarding the adoption of ADAS in cars are driving the Global Automotive Data Monetization market. For instance, an Anti-Locking Braking System (ABS) has been made mandatory for all commercial vehicles in Europe & the US. Furthermore, the rollout of the 5G network is likely to flourish the procurement of autonomous vehicles, which, in turn, would also contribute to the overall market growth.

Moreover, leading automakers have started focusing on data monetization throughout the connected vehicle life cycle. Therefore, this frontier has opened new revenue streams in the form of monthly subscriptions for premium connectivity services, paid over-the-air (OTA) upgrades, etc. Hence, all these aspects would play a crucial role in driving the Global Automotive Data Monetization market during 2022-2027.

Automotive Data Monetization Market Segmentation:

The Automotive Data Monetization market is categorized in to different segments. Analyzing growth across these segments enables a comprehensive understanding of key growth areas within the industry. This segmentation provides valuable market insights, empowering stakeholders to make strategic decisions and identify primary market applications effectively.

By Application

  • Insurance
  • Government
  • Predictive Maintenance
  • Mobility as a Service

By Type

  • Direct
  • Indirect

By Deployment

  • Cloud
  • On Premises

Geographical Analysis into the Automotive Data Monetization Market:

The Automotive Data Monetization market is categorized based regional:

  • North America
  • South America
  • Europe
  • Middle East & Africa
  • Asia Pacific

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Competitive Landscape and Automotive Data Monetization Market Share Analysis:

The competitive landscape of the Automotive Data Monetization Market includes comprehensive details about competitors. These details encompass company overviews, financial performance, revenue generation, market potential, investments in research and development, new market strategies, production facilities, strengths and weaknesses, product launches, ongoing trials, approvals, patents, product range, dominant applications, and technology life cycle.

  • 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

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Market research studies from MarkNtel Advisors are offered in PDF, Excel and PowerPoint formats. Within 24 hours of the payment being successfully received, the report will be sent to your email address.

Questions Addressed in this Study

  1. What factors are driving the Automotive Data Monetization Market growth?
  2. How is the Automotive Data Monetization Market expected to grow over the next five years?
  3. What are the key insights into the current trends in the Automotive Data Monetization Market?
  4. What is the current size of the Automotive Data Monetization Market, and how is it projected to change in the future?
  5. What is the future outlook for the Automotive Data Monetization Market in terms of technological advancements and market expansion?

Why choose MarkNtel?

MarkNtel Advisors is a leading market research company, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.

Our specialization in niche industries & emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 14.8 diverse industrial verticals.

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