Spotlight

Report:

The Forrester Wave™: Computer Vision Tools, Q1 2024

How does Forrester define the Computer Vision Tools market in 2024?

Computer vision tools are evolving to support both horizontal and vertical use cases. Fueled by booming data volumes and evolving deep learning algorithms, CV technology is rapidly transforming industries. Two complementary trends are shaping the space: 1) horizontal CV capabilities offering versatile functionalities across industries and 2) vertical CV capabilities tailored to unique domain challenges. Customers should seek providers that deliver robust horizontal capabilities with diverse visual data handling, provide specialized industry solutions aligned with sector-specific challenges, and offer strong support and community engagement with thriving developer communities and accessible technical support.

Key Facts for The Forrester Wave™: Computer Vision Tools, Q1 2024 in 2024

How did the Computer Vision Tools market evolve in 2024?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Computer Vision Tools space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research covers a comprehensive 28-criterion evaluation of computer vision tools providers, assessing their current offerings, strategy, and market presence. It examines how vendors deliver horizontal CV capabilities (versatile functionalities across industries) and vertical CV capabilities (tailored to specific domain challenges). The evaluation focuses on data management, model development, testing, inferencing, architecture, complementary functionalities, enablement capabilities, vision, innovation, roadmap, partner ecosystem, pricing, and adoption.

Q: Who should use this research?

A: Technology professionals seeking to select the right computer vision platform for their needs should use this research. It is particularly valuable for buyers who need to assess vendors based on robust horizontal capabilities, specialized industry solutions, and support/community engagement. The research helps organizations understand how different providers stack up across the complete CV model lifecycle from data management to deployment and inferencing, enabling informed purchasing decisions based on specific use case requirements.

Q: What are the mandatory features of vendors included in this market?

A: Vendors must offer: 1) A standalone, general-purpose, enterprise-class CV tools platform that can be used to build any domain application across multiple use cases; 2) Comprehensive breadth of offering supporting the complete model lifecycle from data management, training, development, and testing to deploying and inferencing CV models; 3) Significant market presence with an existing customer base of enterprise-scale and global customers; 4) Strong mindshare with Forrester clients through frequent mentions in client inquiries, shortlists, consulting projects, and case studies.

Q: What are some reasons for not being included in this report?

A:

  • Offering only specific horizontal or vertical business solutions rather than general-purpose platforms
  • Lacking comprehensive CV platform capabilities across the complete model lifecycle
  • Insufficient market presence or enterprise-scale customer base
  • Limited mindshare with Forrester clients and market visibility
  • Declining to participate in the full Forrester Wave evaluation process
  • Providing only partial participation in the evaluation
  • Focusing primarily on hardware/software bundles rather than standalone software platforms
  • Offering point solutions or annotation-only tools rather than full CV platforms

Q: What should buyers consider when evaluating products in this market?

A:

  • Assess robustness of generic, horizontal capabilities including diverse visual data handling, superior image and video analysis, object detection, and real-time processing
  • Evaluate ability to fine-tune or build custom models from scratch for adaptability to specific use cases
  • Consider depth and relevance of vertical, industry-specific capabilities and alignment with unique industry challenges
  • Examine flexibility of customization options and ability to integrate seamlessly with existing tools and workflows
  • Evaluate quality and availability of technical support and developer community engagement
  • Assess frequency of platform updates and enhancements
  • Review vendor's development roadmap and commitment to ongoing improvements
  • Consider pricing transparency and understanding of cost structure
  • Evaluate vendor's innovation strategy and ability to stay cutting-edge

Q: How has the Computer Vision Tools market evolved in 2024?

A:

  • Rise of horizontal CV capabilities offering versatile functionalities across industries
  • Emergence of vertical CV capabilities tailored to unique domain challenges and use cases
  • Booming data volumes fueling CV technology advancement
  • Ever-evolving deep learning algorithms propelling innovation
  • Rapid transformation of industries through CV technology
  • Growing demand for platforms combining both breadth and depth in CV capabilities
  • Integration of generative AI and large language models into CV platforms
  • Increased focus on edge computing and inference capabilities
  • Democratization of AI and CV tools for broader user bases beyond data scientists

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Current Offering evaluates the vendor's position on technical capabilities including data management, model development, testing, inferencing, architecture, and complementary functionalities - essentially what the platform can do today. Strategy evaluates forward-looking aspects including vision, innovation, roadmap, partner ecosystem, adoption rates, and pricing approach - essentially where the vendor is headed and how they plan to compete in the market.

Reference

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