全球计算机视觉市场：增长机会

Global Computer Vision Growth Opportunities

出版日期: 2022年05月16日 | 出版商:

Frost & Sullivan | 英文 36 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

COVID-19 的爆发加速了计算机视觉在工业 4.0 应用中的采用，而这项技术是整个行业在大流行后復苏的关键。计算机视觉使用 SLAM（同时定位映射），这是创建 AR（增强现实）内容所需的环境地图的基本技术，以实现沉浸感，这将彻底改变传统服务行业并提供用户体验。我正在改进.随着这些趋势的发展，市场进入者越来越多地提供计算机视觉解决方案。

本报告研究和分析全球计算机视觉市场，并提供有关战略要求、增长环境、关键趋势、用例、增长机会等方面的信息。

重点
机器学习和深度学习技术的进步可提高计算机视觉结果的准确性
随着 5G 的推出，更广泛的计算机视觉用例将成为可能。
大流行加速了计算机视觉在工业 4.0 中的采用
计算机视觉与 Slam 集成，打造更身临其境的体验
ICT 生态系统进入者越来越关注提供计算机视觉

用例

计算机视觉在 COVID-19 期间将整个行业的实体业务数字化

成长机会

增长机会 1：行业/功能特定的应用程序以增加客户价值
增长机会 2：计算机视觉咨询和实施的 IT 服务

附录

受访者的个人资料
图表列表
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简介目录

Product Code: PCF0-69

Computer Vision Technology will Enhance the Future Growth Potential of the ICT Industry

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 8™
The Impact of the Top Three Strategic Imperatives on Computer Vision Technology
Growth Opportunities Fuel the Growth Pipeline Engine™

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
Increasing Focus of ICT Ecosystem Participants on Computer Vision Offerings (continued)
Increasing Focus of ICT Ecosystem Participants on Computer Vision Offerings (continued)

Use Cases

Computer Vision is Digitalizing Brick and Mortar Business Across the Industry During the Covid-19
Computer Vision is Digitalizing Brick and Mortar Business Across the Industry During the Covid-19 (continued)

Growth Opportunities

Growth Opportunity 1: Industry Vertical/Function-specific Applications to Enhance Customer Value
Growth Opportunity 1: Industry Vertical/Function-specific Applications to Enhance Customer Value (continued)
Growth Opportunity 2: IT Services for Computer Vision Advisory and Implementation
Growth Opportunity 2: IT Services for Computer Vision Advisory and Implementation (continued)