Machine Vision Software Market Size, By Technology (PC-based, Smart Camera-based, Embedded), By Application (Quality Control & Inspection, Robotics & Automation, Packaging & Labeling, Surface Inspection, Security & Surveillance), By End-Use, Forecast 2024 – 2032
Published Date: April - 2025 | Publisher: MRA | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationMachine Vision Software Market Size
Machine Vision Software Market accounted for USD 1.4 billion in 2023 and is expected to develop at a rate of CAGR of 19.5% from 2024 to 2032. Ongoing growth in machine vision software, such as real-time processing, edge computing, and cloud computing-based solutions, has expanded its usage and possibilities of applications. For example, the Google Cloud Vision API enables developers to employ Google's machine vision capabilities to pull data out of images and videos. It can be employed in a range of tasks, including object detection, face detection, and text detection.
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Similarly, Microsoft Azure Computer Vision service provides a range of machine vision functionality, such as object detection, face recognition, and barcode scanning. It can be employed to create apps for
everal industries, such as retail, manufacturing, and healthcare. Consistent efforts by companies operating in this space toward integrating cutting-edge technologies into their products will drive the machine vision software industry through 2032.
Report Attribute | Details |
---|---|
Base Year | 2023 |
Machine Vision Software Market Size in 2023 | USD 1.4 Billion |
Forecast Period | 2024 to 2032 |
Forecast Period 2024 to 2032 CAGR | 19.5% |
2032 Value Projection | USD 6.5 Billion |
Historical Data for | 2018 – 2023 |
No. of Pages | 256 |
Tables, Charts & Figures | 269 |
Segments covered | Technology, Application, End-Use, and Region |
Growth Drivers |
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Pitfalls & Challenges |
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What are the growth opportunities in this market?
The requirement of accurate and repeated quality inspection, defect detection, and process automation across different sectors is driving the use of machine vision software. Large technology behemoths have been using machine vision software to inspect quality and automate processes, driving the sector to pick up pace in the next few years.
Referring to an example, in 2022, Intel reported that it was using machine vision software to inspect chips for defects. The software could detect defects that were too small to be seen by the human eye and helped Intel lower defective chip counts by 20%. Conversely, reasons such as a shortage of skilled labor, the belief in high support and maintenance prices, and complexity with diverse lighting settings and complicated environments can lower market growth in the next few years.
COVID-19 Impact
The machine vision software industry has been seriously affected by the COVID-19 pandemic. The growth in social distancing practices and work from home has increased demand for machine vision software as companies seek means of automating processes and limiting interactions with humans. For example, in 2021, pharmaceutical giant Pfizer applied machine vision software to examine its vaccines for impurities. The software was able to identify contaminants as small as 10 microns in diameter, enabling the company to provide assurance of the safety of its vaccines.
Meanwhile, supply chain disruptions and economic uncertainty resulted in conservative investments in technology, which resulted in slow market growth. As the world continues to ride out the pandemic, the machine vision software industry can expect both challenges and opportunities in the next few months.
Machine Vision Software Market Trends
With advancing technology, machine vision software is less expensive and affordable to businesses of varying sizes, paving the way for greater utilization. Furthermore, broadening use cases across consumer electronics and the retail sector will mark a balanced growth path for the industry. Retail applications advantage from machine vision software in management of inventory, behavior analysis, and checkout functions, whereas consumer electronics utilize the software for gesture control and face recognition.
For example, in 2022, Amazon said that it was employing machine visio software to monitor the flow of customers in its stores. The information enabled the company to enhance its customer experience by offering products that the customers may be interested in given their previous purchases.
Machine Vision Software Market Analysis
Learn more about the key segments shaping this market
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Think of the machine vision market as a large puzzle. Depending on the technology employed, this puzzle can be broken down into three broad piecesPC-based, smart camera-based, and embedded machine vision. Of these three, the PC-based piece is likely to develop at the fastest rate, by approximately 17.5% annually. Why is PC-based machine vision so well-liked? Well, today's PCs are like supercomputers relative to the past. They can process a great deal of data and process it fast. This makes them ideal for machine vision applications, such as real-time image analysis. Another advantage of PC-based machine vision is the flexibility it provides. It's similar to having a set of various software tools in a toolbox rather than one solution. This allows companies to adapt the machine vision system to their precise requirements, such as a tailored shirt.
Learn more about the key segments shaping this market
Visualize your physician using a super-intelligent software to read medical images like a microscope with X-ray vision! That software, or machine vision, is transforming the healthcare industry. In 2023 alone, healthcare was a large market for this software worth more than $175 million. Why? Because machine vision has the ability to detect things in images that can be missed by humans. This allows physicians to make diagnoses more quickly and accurately, which means they can treat patients better. Machine vision can even assist during surgery. It's as if it's a live GPS for the physician, showing them the way through intricate procedures. This improves surgeries to make them safer and more efficient. So, medicine is leveraging machine vision in a huge way. It's akin to granting physicians an superpower which enables them to perceive and comprehend medical images better than ever, revolutionizing diagnosis and treatment.
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North America maintained a superior market share of more than 35% during 2023. Machine vision software is being increasingly adopted in North America on account of its potential to augment manufacturing productivity, product quality, and automation in different sectors. For example, the automotive industry uses machine vision software for inspection of assembly lines and quality control. In healthcare, it is used in medical imaging as well as diagnostics. It is also used by e-commerce and retail firms for inventory management and customer insights, propelling demand for machine vision solutions in the market.
Machine Vision Software Market Share
Major companies operating in the machine vision software industry are
- Allied Vision Technologies GmbH
- Basler AG
- Baumer Group
- Cognex Corporation
- FLIR Systems, Inc
- Hikvision Digital Technology Co., Ltd
- Omron Corporation
- Keyence Corporation
- National Instruments Corporation
- Sony Corporation
These industry leaders have extensive experience, advanced technologies, and a strong market presence, enabling them to contribute to the growth of the market.
Machine Vision Software Market News
- In February 2022, Cognex announced the launch of its Cognex VisionPro 2022 software. This new software includes a number of new features and enhancements, such as improved object recognition, better defect detection, and faster processing speeds.
The machine vision software market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Billion) from 2018 to 2032, for the following segments
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Market, By Technology
- PC-based machine vision
- Smart camera-based machine vision
- Embedded machine vision
Market, By Application
- Quality control & inspection
- Robotics & automation
- Packaging & labeling
- Surface inspection
- Security & surveillance
- Others
Market, By End Use
- Manufacturing
- Automotive
- Electronics & semiconductor
- Healthcare
- Transportation & logistics
- Retail & consumer electronics
- Banking & finance
- Others
The above information is provided for the following regions and countries
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Asia Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Australia
- Latin America
- Brazil
- Mexico
- Argentina
- MEA
- GCC
- South Africa
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Table of Content
Here's a detailed Table of Contents (TOC) for a report on the Machine Vision Software Market:
Table of Contents
-
Executive Summary
1.1. Market Snapshot
1.2. Key Findings
1.3. Market Size and Growth Forecast (2024–2030)
1.4. Strategic Recommendations -
Introduction
2.1. Report Overview
2.2. Objectives and Scope
2.3. Research Methodology
2.4. Definitions and Assumptions -
Market Overview
3.1. Introduction to Machine Vision Software
3.2. Role of Software in Vision Systems
3.3. Evolution of Vision Software Technologies
3.4. Use Cases Across Industries -
Market Dynamics
4.1. Drivers
- Increasing Demand for Automation and Quality Control
- Advancements in Deep Learning and AI Integration
- Growth of Smart Manufacturing and Industry 4.0
4.2. Restraints
- High Cost of Custom Software Solutions
- Integration Complexity
4.3. Opportunities
- Expansion in Non-industrial Applications (Healthcare, Retail)
- Cloud-based and SaaS Deployment Models
4.4. Challenges
- Real-time Processing Constraints
- Data Privacy and Cybersecurity Concerns -
Technology Landscape
5.1. Core Functionalities of Machine Vision Software
- Image Acquisition and Processing
- Pattern Recognition and Object Detection
- 2D and 3D Vision Capabilities
5.2. Role of AI and ML in Vision Software
5.3. Integration with PLCs, SCADA, and Robotics
5.4. Open-source vs Proprietary Software -
Market Segmentation
6.1. By Software Type
6.1.1. Application-specific Software
6.1.2. Deep Learning Software
6.1.3. Programming Libraries and SDKs
6.1.4. Configuration and Development Tools
6.2. By Deployment Mode
6.2.1. On-Premise
6.2.2. Cloud-Based
6.3. By End-user Industry
6.3.1. Automotive
6.3.2. Electronics & Semiconductor
6.3.3. Pharmaceuticals
6.3.4. Food & Beverage
6.3.5. Packaging
6.3.6. Logistics and Transportation
6.3.7. Others -
Regional Analysis
7.1. North America
7.2. Europe
7.3. Asia-Pacific
7.4. Latin America
7.5. Middle East & Africa -
Competitive Landscape
8.1. Market Share Analysis
8.2. Key Players and Company Profiles
8.2.1. Cognex Corporation
8.2.2. MVTec Software GmbH
8.2.3. National Instruments
8.2.4. Teledyne DALSA
8.2.5. Adaptive Vision
8.2.6. Matrox Imaging
8.2.7. Others
8.3. Recent Developments and Strategic Initiatives
8.4. Competitive Strategies and Innovation -
Market Forecast (2024–2030)
9.1. Forecast by Software Type and End-user
9.2. Forecast by Region
9.3. Future Trends and Investment Outlook -
Appendix
10.1. Glossary
10.2. Acronyms
10.3. Research Methodology
10.4. References
List Tables Figures
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