Computer Vision: Accelerating Data Insights in an Increasingly Interconnected Automotive Ecosystem

Computer Vision: Accelerating Data Insights in an Increasingly Interconnected Automotive Ecosystem

This IDC Market Perspective analyzes the current and future intersection and impact of computer vision (CV) technologies and the automotive ecosystem. In particular, this document provides background on key challenges faced by the automotive ecosystem, highlights the evolution and emergence of CV more broadly, and identifies and assesses the maturity and market readiness of current and future CV-enabled use cases for automotive. In summary, IDC sees CV having an outsized, material impact well beyond assisted (i.e., ADAS) and automated/autonomous vehicles (AVs)."One of the challenges of understanding the opportunity for CV in automotive is being able to think beyond its critical role in enabling autonomous vehicles," said Matt Arcaro, research director of IDC's Computer Vision AI Tools and Technology Research Program. "In reality, there is a broad range of CV-enabled or capable use cases that can help the automotive industry materially improve costs, efficiency, and visibility."

Please Note: Extended description available upon request.


Executive Snapshot
New Market Developments and Dynamics
Introduction
Highlighting Critical Challenges Facing the Automotive Ecosystem Today
The Emergence of the Technology Provider as a Trusted Adviser
What Is CV?
Sample CV Use Cases
How Organizations Gain Access to CV
Understanding the CV Life-Cycle Process
Investigating the State of CV Adoption in Automotive
CV Challenges in Automotive
Identifying and Evaluating CV-Enabled Use Cases in Automotive
Advice for the Technology Supplier
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Synopsis

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