Global Computer Vision Growth Opportunities
This research service analyzes the core capabilities of computer vision technology and identifies the factors driving new use cases and greater adoption. Computer vision technology has advanced beyond object detection and achieved human emotion analysis. The COVID-19 pandemic has accelerated the adoption of computer vision in Industry 4.0 applications, making the technology key to post-pandemic recovery across industries. Computer vision is enhancing user experience with visual simultaneous localization and mapping (SLAM), a fundamental technology for creating the map of the environment required for augmented reality (AR) content, by enabling immersive experiences that can bring about innovations in traditional service industries. With these trends gaining more traction, market participants are increasing their computer vision solution offerings.
This study offers insights for stakeholders on the growth opportunities emerging from these advancements and identifies the benefits of the new technologies. The research examines the trends with regards to adoption and technology readiness, specifically, the advancements in machine learning and deep learning technologies and the availability of 5G infrastructure, which expands computer vision use cases. It also identifies the drivers and restraints that are expected to accelerate and restrain growth, respectively, for this technology in the forecast period (2022 to 2028).
- Strategic Imperatives
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8TM
- The Impact of the Top Three Strategic Imperatives on Computer Vision Technology
- Growth Opportunities Fuel the Growth Pipeline Engine TM
- Growth Environment
- Computer Vision Process Overview
- Increasing Sophistication in Computer Vision to Drive New Use Cases and Adoption
- Enhancements in Computer Vision to Further Accelerate Adoption
- Organizations are Increasingly Deploying Computer Vision Technologies to Support New Use Cases
- Growth Drivers
- Growth Restraints
- Key Trends
- Key Takeaways
- Advancements in ML and DL Technologies Driving Greater Accuracy in Computer Vision Outcomes
- 5G Deployments Enable Broader Computer Vision Use Cases
- Acceleration of Computer Vision Adoption in Industry 4.0 Due to the Pandemic
- Computer Vision Being Integrated with Slam to Create Greater Immersive Experiences
- Increasing Focus of ICT Ecosystem Participants on Computer Vision Offerings
- Use Cases
- Computer Vision is Digitalizing Brick and Mortar Business Across the Industry During the Covid-19
- Growth Opportunities
- Growth Opportunity 1: Industry Vertical/Function-specific Applications to Enhance Customer Value
- Growth Opportunity 2: IT Services for Computer Vision Advisory and Implementation
- Appendix
- Respondent Profile
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