The Transition from Computer Vision to Large Visual Models (LVMs): What Are the Implications for Enterprises and Vendors?

Price: Starting at USD 1,950

Publish Date: 15 Jan 2025

Code: AN-6220

Research Type: Report

Pages: 15

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Actionable Benefits

Actionable Benefits

Develop long-term vision Artificial Intelligence (AI) strategy.
Understand differences between Computer Vision (CV) and Large Visual Models (LVMs).
Evaluate long-term dynamics of vision AI market.

Research Highlights

Research Highlights

Forecast of CV and large vision model spending.
Assessment of key companies operating within the CV and LVM markets.
Early assessment of LVM adoption by different industries, and the role of adjacent technologies.

Critical Questions Answered

Critical Questions Answered

What commercial value remains in the “mature” CV market?
Will large vision models and visual language models replace CV?
Who are the early adopters of large vision models and what use cases are being deployed?
What are the key challenges for the vision AI market and how can new technologies provide solutions?

Who Should Read This?

Who Should Read This?

AI software strategists investing in the vision AI market.
End-market Chief Information Officers (CIOs) evaluating existing vision AI strategy.
AI hardware vendors assessing market opportunities for vision AI.
Machine Learning (ML) software providers looking to expand their solutions for vision AI.

Companies Mentioned

Table of Contents

1. KEY FINDINGS

2. KEY FORECASTS

3. KEY COMPANIES AND ECOSYSTEMS

3.1. ROBOFLOW

3.2. SNORKEL AI

3.3. LANDINGAI

3.4. EDGE IMPULSE

4. ENTERPRISE LVM ADOPTION

5. SOLVING VISION AI CHALLENGES

5.1. DOMAIN-SPECIFIC, LIGHTWEIGHT LVMS

5.2. SOLVING THE DATA PROBLEM

5.3. MULTI-MODAL LVMS

6. EXPLORING THE FUTURE OF VISION AI

6.1. EVALUATING CV AND LVM VALUE PROPOSITIONS

6.2. FUTURE OF THE VISION AI MARKET

7. COMMERCIAL OPPORTUNITIES & CHALLENGES WITHIN THE VISION AI MARKET

7.1. OPPORTUNITIES

7.2. CHALLENGES

Companies Mentioned

Edge Impulse