机械视觉市场(2022年～2027年)

本报告提供机械视觉市场相关调查，产业用及非产业用环境的机械视觉概要，以及技术堆迭，市场规模与展望，竞争情形，使用案例分析，终端用户的考察，趋势与课题，企业的简介等彙整资料。

目录

第1章 摘要整理

第2章 简介

第3章 技术概要

• 机械视觉的技术堆迭概要
• 详细内容:影像感测器
• 详细内容:机械视觉处理
• 详细内容:解决方案的尺寸规格
• 详细内容:照明技术
• 详细内容:相机接口通讯协定
• 详细内容:资料分析
• 详细内容:机器视觉软体
• 详细内容:机械视觉的实行流程

第4章 市场规模与展望

• 全球机械视觉市场
  • 全球机械视觉市场，各技术堆迭
  • 全球机械视觉市场，各产品类型
  • 全球机械视觉市场，各使用案例
  • 全球机械视觉市场，各使用案例及各业界
  • 全球机械视觉市场，各业界
  • 全球机械视觉市场，各地区
  • 全球机械视觉市场，各及各业界前10名国家
• 全球机械视觉市场，AI的各渗透
• 详细内容:前5个国家

第5章 竞争情形

• 公司形势
• 详细内容:主要15家机械视觉供应商
• 详细内容:今后值得注意的7家MV企业
• 详细内容:机械视觉企业简介
• 详细内容:机械视觉新兴企业
• 详细内容:机械视觉的M&A活动记录
• 详细内容:机械视觉的专利

第6章 使用案例分析

• 主要的机械视觉的使用案例的类别
  • 使用案例:检验
  • 使用案例:识别
  • 使用案例:指导
  • 使用案例:检测

第7章 终端用户的洞察

• 製造业的机械视觉的采用
• 传统的机械视觉AI的各渗透品管的采用
• 使用了AI为基础的最新的机械视觉的品管的引进

第8章 趋势与课题

• 趋势
• 课题

第9章 调查手法和市场定义

第10章 关于IoT分析

A 239-page report examining machine vision in industrial and non-industrial settings, including technology stack, market size & outlook, competitive landscape, use case analysis, end user insights, and trends & challenges.

About the report

This document represents the ‘Machine Vision Market Report 2022-2027’ and is part of IoT Analytics' ongoing coverage of Industrial IoT. The information presented in this report is based on the results of multiple surveys, secondary research as well as qualitative research i.e., interviews with machine vision experts from vendors and end users between February 2022 to November 2022. The document includes definitions for machine vision, market projections, adoption drivers, competitive landscapes, key trends and developments, and case studies.

The main purpose of this document is to help our readers understand the current Machine Vision landscape by defining, sizing and analyzing the market.

Questions answered:

• What is Machine Vision (i.e., a Machine Vision (MV) definition)?

• Which technologies are used for Machine Vision (including a sensing and analytics technology deep-dive)?

• What are the main Machine Vision use cases?

• What are the examples of Machine Vision vendors and Machine Vision case studies?

• What to consider when selecting or designing Machine Vision solutions?

• How does the Machine Vision market look like (i.e., overview by regions, technologies, industries)?

• Which benefits does Machine Vision bring to companies implementing it?

• Who is adopting Machine Vision technology?

• What are the trends & challenges in the Machine Vision space?

Companies mentioned:

A selection of companies mentioned in the report.

Table of Contents

1. Executive Summary

2. Introduction

• 2.1. Machine Vision's definition and disambiguation
• 2.2. Image acquisition approaches and vision system types
• 2.3. Machine vision's adoption rate
• 2.4. Applications and use cases
• 2.5. Benefits of machine vision

3. Technology Overview

• 3.1. Machine vision technology stack overview
• 3.2. Deep Dive: image sensors
• 3.3. Deep Dive: machine vision processing
• 3.4. Deep Dive: solution form factors
• 3.5. Deep Dive: lighting techniques
• 3.6. Deep Dive: camera interface protocols
• 3.7. Deep Dive: data analysis
• 3.8. Deep Dive: machine vision software
• 3.9. Deep Dive: the machine vision implementation process

4. Market Size and Outlook

• 4.1. Global Machine Vision Market
  • 4.1.1. Global Machine Vision Market, by Tech stack
  • 4.1.2. Global Machine Vision Market, by Product Type
  • 4.1.3. Global Machine Vision Market, by Use Case
  • 4.1.4. Global Machine Vision Market, by Use Case and Industry
  • 4.1.5. Global Machine Vision Market, by Industry
  • 4.1.6. Global Machine Vision Market, by Region
  • 4.1.7. Global Machine Vision Market, by top 10 countries and industry
• 4.2. Manufacturing Global Machine Vision Market, by AI penetration
• 4.3. Deep Dive: The leading five countries

5. Competitive Landscape

• 5.1. Company landscape
• 5.2. Deep Dive: the top 15 machine vision vendors
• 5.3. Deep Dive: seven upcoming MV companies to watch
• 5.4. Deep Dive: selected machine vision company profiles
• 5.5. Deep Dive: machine vision startups
• 5.6. Deep Dive: machine vision M&A activity log
• 5.7. Deep Dive: machine vision patents

6. Use Case Analysis

• 6.1. Main machine vision use case categories
  • 6.1.1. Use case: Inspection
  • 6.1.2. Use case: Identification
  • 6.1.3. Use case: Guidance
  • 6.1.4. Use case: Measuring

7. End User Insights

• 7.1. Machine vision adoption in manufacturing
• 7.2. Adoption of quality control using traditional machine vision
• 7.3. Adoption of quality control using AI-based, modern machine vision

8. Trends & Challenges

• 8.1. Trends
• 8.2. Challenges

9. Methodology and Market Definitions

10. About IoT Analytics