10 Learnings Taken from an IDC MarketScape for Worldwide General-Purpose Computer Vision AI Software Platforms 2022 Vendor Assessment

10 Learnings Taken from an IDC MarketScape for Worldwide General-Purpose Computer Vision AI Software Platforms 2022 Vendor Assessment

This IDC Market Perspective highlights and elaborates on 10 post IDC MarketScape learnings, as well as provides advice to technology suppliers for evolving and evaluating future product and service enhancements. In November 2022, IDC published its inaugural IDC MarketScape study for computer vision (CV) AI software platform vendors (for more information, see IDC MarketScape: Worldwide General-Purpose Computer Vision AI Software Platforms 2022 Vendor Assessment, IDC #US49776422, November 2022). This document, which was the result of more than six months of internal analyst collaboration, background research, vendor engagement, and customer interviews, has reinforced IDC's views on the market potential and maturity of CV platform software across a broad range of customer use cases, domains, and industries. Further, the rigor of the IDC MarketScape study brings to light many ecosystem, customer, channel, and vendor learnings that are worth sharing more broadly."One of the benefits of completing such a comprehensive study like IDC MarketScape: Worldwide General-Purpose Computer Vision AI Software Platforms 2022 Vendor Assessment (IDC #US49776422, November 2022) is that it allows us to gather deep, unique insights on how a market and ecosystem functions or doesn't function in many cases," says Matt Arcaro, research director, Computer Vision AI Tools and Technologies at IDC. "This IDC Market Perspective allows us to share some of these learnings to help the ecosystem continue to evolve and grow."

Please Note: Extended description available upon request.


Executive Snapshot
New Market Developments and Dynamics
Introduction
Top 10 Learnings and Insights
Lesson 1: Providers Finding the Right Revenue Mix
Lesson 2: Pervasiveness of Pretrained Model Zoos
Lesson 3: End-User Customer Organizations Remain Focused on Initial CV Use Cases
Lesson 4: Data Preparation and Annotation as a Critical Capability
Lesson 5: Cloud Service Providers Remain a Front Door for CV
Lesson 6: Cloud SPs and Universal Customer Fit
Lesson 7: Professional Service Provider (Lack of) Exclusivity
Lesson 8: CV Inferencing at the Edge
Lesson 9: Experiences Across Personas
Lesson 10: Automation Integration
Advice for the Technology Supplier
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Related Research
Synopsis

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