PUBLISHER: IoT Analytics GmbH | PRODUCT CODE: 1167078
PUBLISHER: IoT Analytics GmbH | PRODUCT CODE: 1167078
Machine Vision Market Report 2022-2027
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.
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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
