機械視覺市場(2022年～2027年)

本報告提供機械視覺市場相關調查，產業用及非產業用環境的機械視覺概要，以及技術堆疊，市場規模與展望，競爭情形，使用案例分析，終端用戶的考察，趨勢與課題，企業的簡介等彙整資料。

目錄

第1章 摘要整理

第2章 簡介

第3章 技術概要

• 機械視覺的技術堆疊概要
• 詳細內容:影像感測器
• 詳細內容:機械視覺處理
• 詳細內容:解決方案的尺寸規格
• 詳細內容:照明技術
• 詳細內容:相機接口通訊協定
• 詳細內容:資料分析
• 詳細內容:機器視覺軟體
• 詳細內容:機械視覺的實行流程

第4章 市場規模與展望

• 全球機械視覺市場
  • 全球機械視覺市場，各技術堆疊
  • 全球機械視覺市場，各產品類型
  • 全球機械視覺市場，各使用案例
  • 全球機械視覺市場，各使用案例及各業界
  • 全球機械視覺市場，各業界
  • 全球機械視覺市場，各地區
  • 全球機械視覺市場，各及各業界前10名國家
• 全球機械視覺市場，AI的各滲透
• 詳細內容:前5個國家

第5章 競爭情形

• 公司形勢
• 詳細內容:主要15家機械視覺供應商
• 詳細內容:今後值得注意的7家MV企業
• 詳細內容:機械視覺企業簡介
• 詳細內容:機械視覺新興企業
• 詳細內容:機械視覺的M&A活動記錄
• 詳細內容:機械視覺的專利

第6章 使用案例分析

• 主要的機械視覺的使用案例的類別
  • 使用案例:檢驗
  • 使用案例:識別
  • 使用案例:指導
  • 使用案例:檢測

第7章 終端用戶的洞察

• 製造業的機械視覺的採用
• 傳統的機械視覺AI的各滲透品管的採用
• 使用了AI為基礎的最新的機械視覺的品管的引進

第8章 趨勢與課題

• 趨勢
• 課題

第9章 調查手法和市場定義

第10章 關於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