<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1448210&amp;fmt=gif">

Automotive Sensor Data Monetization

Price: Starting at USD 3,000
Publish Date: 19 Jul 2021
Code: AN-5401
Research Type: Report
Pages: 33
Actionable Benefits

Actionable Benefits

  • Develop a strategy to generate ongoing revenue streams from automotive sensor data
  • Identify the key automotive and non-automotive applications for sensor data monetization
  • Adopt the best data aggregation approaches to build a business for various sensor data monetization applications
Research Highlights

Research Highlights

  • Overview of the sensor data monetization applications, and respective resolution and latency requirements
  • Market sizing and forecast of automotive sensor datasets
  • Comparison of different data aggregation architectures and how well they align with the requirements of different applications
Critical Questions Answered

Critical Questions Answered

  • How much will the automotive sensor data market be worth by 2020?
  • What are the remaining technical and non-technical market barriers, and how can they be overcome?
  • How can vehicle data exchanges and sensor data marketplaces support automakers in achieving their data monetization objectives?
Who Should Read This?

Who Should Read This?

  • Sensor Data Marketplace CTOs.
  • Automotive OEM personnel with responsibility for connected car, software-defined car.
  • Planners at Telcos and Telco infrastructure suppliers anticipating future automotive data upload requirements.

Companies Mentioned

BlackBerry
BlackBerry
Cloudera
HERE Technologies
Mobileye
NXP Semiconductors
Wind River

Table of Contents

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. KEY AUTOMOTIVE APPLICATIONS

3.1. Anonymized Data versus Personally Identifiable Information Data
3.2. Massive Aggregation
3.3. Identifiable Vehicle Applications

4. KEY NON-AUTOMOTIVE APPLICATIONS

4.1. Key Applications
4.2. Targeting Non-Automotive Opportunities with Automotive Data

5. MARKET BARRIERS

5.1. Technical Market Barriers
5.2. Non-Technical Market Barriers

6. BALANCING DATA QUALITY AND COST

6.1. Key Takeaways
6.2. Shifting toward Embedded Compute

7. RELEVANT DATA STANDARDS

7.1. Sensors
7.2. ISO 20077-1
7.3. Transport Protocol Experts Group (TPEG)

8. CONNECTED CAR DATA MARKETPLACES

8.1. Otonomo
8.2. HERE Technologies
8.3. Wejo
8.4. Streetlight Data

9. MARKET EXPECTATIONS

9.1. Revenue Potential for OEMs
9.2. Revenue Potential for Data Marketplaces

Companies Mentioned

  • BlackBerry
  • BlackBerry
  • Cloudera
  • HERE Technologies
  • Mobileye
  • NXP Semiconductors
  • Wind River