Technology
Machine Vision (MV) Camera Market size is set to grow by USD 1.73 billion from 2024-2028, Increased demand in non-industrial sectors to boost the market growth, Technavio
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2 years agoon
By
NEW YORK, June 28, 2024 /PRNewswire/ — The global machine vision (MV) camera market size is estimated to grow by USD 1.73 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 9.31% during the forecast period. Increased demand in non-industrial sectors is driving market growth, with a trend towards augmented demand for smart cameras. However, high cost of implementation poses a challenge. Key market players include Adimec Advanced Image Systems bv, Alpha MOS, AMETEK Inc., Banner Engineering Corp., Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Decision Technology LLC, Hangzhou Hikvision Digital Technology Co. Ltd., Hitachi Ltd., Intel Corp., JAI AS, Keyence Corp., National Instruments Corp., OMRON Corp., SICK AG, Sony Group Corp., Teledyne Technologies Inc., and TKH Group NV.
Get a detailed analysis on regions, market segments, customer landscape, and companies – Click for the snapshot of this report
Forecast period
2024-2028
Base Year
2023
Historic Data
2018 – 2022
Segment Covered
Platform (PC based camera, Smart camera, Wireless camera, and Wearable camera), Type (Line scan, Area scan, and 3D scan cameras), and Geography (APAC, North America, Europe, Middle East and Africa, and South America)
Region Covered
APAC, North America, Europe, Middle East and Africa, and South America
Key companies profiled
Adimec Advanced Image Systems bv, Alpha MOS, AMETEK Inc., Banner Engineering Corp., Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Decision Technology LLC, Hangzhou Hikvision Digital Technology Co. Ltd., Hitachi Ltd., Intel Corp., JAI AS, Keyence Corp., National Instruments Corp., OMRON Corp., SICK AG, Sony Group Corp., Teledyne Technologies Inc., and TKH Group NV
Key Market Trends Fueling Growth
Machine Vision (Mv) Camera Market is experiencing significant growth due to the increasing adoption of smart cameras in industrial applications. These compact devices, with embedded image sensors, offer ease of use and cost-effectiveness for automated functions. Omron’s new F440 Smart Camera further enhances machine vision applications by enabling self-contained vision systems within machines. This innovation strengthens companies’ capabilities in inspection and quality assurance, contributing to the market’s expansion.
The Machine Vision (MV) camera market is experiencing significant growth, driven by the increasing demand for automation and quality control in various industries. Three-dimensional (3D) modeling and manufacturing are trending applications, utilizing MV cameras for accurate measurement and inspection. Machine learning and artificial intelligence are also key technologies, enabling advanced image analysis and recognition capabilities. Additionally, the integration of MV cameras with production lines and robotic systems is increasing efficiency and productivity. The market for MV cameras is expected to continue expanding, with applications in sectors such as automotive, electronics, and healthcare.
Research report provides comprehensive data on impact of trend. For more details- Download a Sample Report
Market Challenges
The Machine Vision (Mv) Camera Market involves the use of expensive camera systems and software, posing a challenge for small and medium-sized enterprises (SMEs) due to high implementation costs. Customization and operational requirements increase the overall price. Smart cameras, equipped with advanced technologies for clarity and precision, have high base prices. Vendors face pressure to lower prices due to competition and the lack of concentration in the market. The scarcity of high-quality sensors further complicates matters, hindering market growth during the forecast period.The Machine Vision (MV) Camera market faces several challenges in the industry. Three-dimensional (3D) imaging and scanning are becoming increasingly important, requiring advanced capabilities from MV cameras. Sensors and resolution are key factors in delivering accurate results. The integration of Artificial Intelligence (AI) and deep learning algorithms is essential for advanced analysis and processing. The need for real-time processing and high frame rates adds complexity. Additionally, cost-effectiveness and miniaturization are crucial for mass adoption. The market for MV cameras is competitive, with players focusing on innovation and differentiation to meet these challenges. The market for MV cameras is expected to grow significantly due to these demands.
For more insights on driver and challenges – Download a Sample Report
Segment Overview
This machine vision (mv) camera market report extensively covers market segmentation by
Platform 1.1 PC based camera1.2 Smart camera1.3 Wireless camera1.4 Wearable cameraType 2.1 Line scan2.2 Area scan2.3 3D scan camerasGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America
1.1 PC based camera- The Machine Vision (Mv) Camera Market is experiencing significant growth due to increasing automation in industries. These cameras are essential for quality control and inspection in manufacturing processes. Companies are investing in advanced Mv cameras to enhance productivity and improve product consistency. The market is driven by the demand for automation and the need for efficient production processes. Mv cameras are becoming an integral part of modern manufacturing, enabling real-time monitoring and analysis of production lines.
For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022) – Download a Sample Report
Research Analysis
The Machine Vision (Mv) Camera Market encompasses a range of advanced imaging technologies, including Machine Vision cameras, smart cameras, wireless cameras, wearable cameras, parking cameras, CMS cameras, SVS cameras, and barcode scanners. These cameras employ various lens types, such as wideangle and normal lenses, to facilitate applications in measurement, position guidance, pattern recognition, 3D imaging, and line scan. Machine Vision systems are integral to industries like automotive, healthcare, retail, and manufacturing, enabling tasks like quality control, inspection, and surveillance. The market is driven by advancements in technology, increasing demand for automation, and the growing need for real-time data processing.
Market Research Overview
The Machine Vision (MV) Camera Market encompasses the production, sales, and installation of cameras designed for machine vision applications. These cameras utilize advanced technologies such as artificial intelligence and machine learning to analyze data in real-time, enabling automation and improved efficiency in various industries. The market is driven by the increasing demand for smart manufacturing and Industry 4.0 initiatives. Key applications include quality control, inspection, and measurement in sectors like automotive, electronics, food and beverage, and pharmaceuticals. The market is expected to grow significantly due to the rising adoption of automation and the increasing need for real-time data analysis. Additionally, the development of new technologies such as 3D modeling and hyperspectral imaging is expanding the market’s potential applications.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
PlatformPC Based CameraSmart CameraWireless CameraWearable CameraTypeLine ScanArea Scan3D Scan CamerasGeographyAPACNorth AmericaEuropeMiddle East And AfricaSouth America
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/
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SOURCE Technavio
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CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.
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View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html
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Best AI Design Tools (2026): CapCut Named a Top Choice for Creating Images and Marketing Assets by Software Experts
Published
24 minutes agoon
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CapCut AI Design Studio – a web based design workspace that uses AI to help users create ads, product visuals, and branded content without prior design experience.
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View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html
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Samsung Selects Chandigarh University Student as ‘Punjab AI State Topper’
Published
1 hour agoon
July 18, 2026By
CU Student Devesh Panwar Wins Rs 1 Lakh Award for Developing AI-Based Document Search System
CHANDIGARH, India, July 18, 2026 /PRNewswire/ — A Bachelor of Computer Applications (BCA) student of Chandigarh University, Devesh Panwar, has been named the “Punjab State Topper” in the Artificial Intelligence (AI) under the Samsung Innovation Campus (SIC) AI Program organised by Samsung in collaboration with Telecom Sector Skill Council (TSSC) and training partner Focal Skill Development (Focalyt) to equip Indian youth with industry-relevant in-demand skills in AI, loT, Big Data, and Coding & Programming, preparing them for future careers.
A final-year student of Bachelor of Computer Applications (BCA) at University Institute of Computing (UIC) of Chandigarh University, Devesh Panwar also won a cash award of Rs 1 lakh along with a laptop, and exclusive Samsung rewards for achieving this remarkable milestone under the Samsung Innovation Campus AI Program.
“Being named ‘AI State Topper’ was a moment of profound pride and validation for me. Hard work, intense technical training and a passion for AI culminated in the immense honor of the Punjab State Topper title. Besides getting access to state-of-the-art tools to fuel my future research and development endeavor, I gained world-class knowledge during the Samsung Innovation Campus (SIC) AI Program. It helped me in gaining hands-on experience and applied AI to solve real-world challenges, especially in aeronautical and technical domains,”
During Samsung Innovation Campus (SIC) AI Program, Devesh and his team worked on innovative AI capstone project which was presented before the jury panel as part of the final assessment.
“Our team developed the advanced AI-powered system AI Research Agent, a Retrieval-Augmented Generation (RAG) platform designed for intelligent querying of private document collections. Organizations, researchers, legal professionals, and HR teams often work with large collections of documents. Traditional search methods rely heavily on keyword matching and require significant manual effort to locate relevant information. The project was developed to address the limitations of traditional document search systems, which often struggle with contextual understanding, retrieval accuracy, learning adaptability, and response speed,” said Devesh.
“The developed system demonstrated significant improvements over traditional document retrieval approaches with faster response generation with integration of modern AI techniques, full-stack development, database systems, and intelligent automation into a single practical solution. By combining modern RAG architecture with innovative retrieval and reasoning mechanisms, this system provides a fast, intelligent, and user-friendly solution for knowledge discovery and resume evaluation. This project not only enhanced our technical expertise in Artificial Intelligence and Full-Stack Development but also strengthened our problem-solving, teamwork, and professional communication skills. It stands as a significant achievement of our Samsung Innovation Campus 2025 journey and reflects our commitment to building impactful AI solutions for real-world challenges,” he added.
Congratulating Devesh Panwar for being named “Punjab State Topper” AI under the Samsung Innovation Campus Samsung Innovation Program, Deepinder Singh Sandhu, Senior Managing Director, Chandigarh University, said, “Devesh’s achievement reflects Chandigarh University’s focus on experiential learning and industry-academia collaboration. Through the Samsung Innovation Campus AI Program, CU students gain practical exposure to AI and building solutions for real-world challenges. This accomplishment reflects not only Devesh’s commitment to excellence but also the growing culture of innovation and industry-oriented learning at Chandigarh University,”.
“Since its inception, Chandigarh University has set benchmarks for world-class education with its dynamic hands-on experiential learning model, industry-aligned programs, dynamic fraternity, state-of-the-art infrastructure facilities and impeccable placements. Samsung Innovation Program is also part of our initiatives to develop a future-ready talent pool equipped with advanced capabilities in AI, loT, Big Data, and Coding and Programming. By bridging the gap between theoretical learning and real-world application, this collaboration helps in providing CU’s computer science and computing students exposure to cutting-edge and emerging technologies. CU’s this partnership with Samsung is focused on building future-ready talent equipped with industry-relevant skills in AI and emerging technologies,” Sandhu said.
He said Chandigarh University’s Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. “Chandigarh University carries a vision of crafting next-gen IT professionals who can take up industry challenges effectively and our Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. UIC’s hands-on approach paves the way for a smooth transition to the workforce after graduation. Our students are equipped with the best knowledge, skills and passion to succeed in any number of computing careers. CU’s Institute of Computing renders cutting-edge education ranging from the expertise in traditional software development -to- modern computing technologies. Fully-equipped industry-sponsored labs, industry-aligned curriculum, and accreditations and validations by top companies such as Intel, Microsoft, Google Android, Red Hat etc. give our students an exclusive edge over others,” the Chandigarh University CMD said.
Sandhu said the latest edition of QS World University Rankings has yet again reaffirmed Chandigarh University global standing as a top educational institution. “Continuing its remarkable rise among the world’s leading higher education institutions, Chandigarh University (CU) has made impressive strides in the latest edition of prestigious QS World University Rankings 2027 by securing an overall world rank of 526, an increase of 49 ranks as compared to 575th rank in QS’ 2026 Rankings. This is for the fifth consecutive year that Chandigarh University’s global rankings have witnessed an impressive surge with CU’s world rank going up by an impressive 274 ranks — from the 800th rank in 2023 to 526th in 2027’s Rankings,”.
“As per the latest QS World University Rankings, with All India Rank of 13 among all universities in the country as compared to 16th rank in 2026’s rankings, Chandigarh University now ranks among the top 1% of universities in India and the top 2% of universities in the World, underscoring its growing reputation as a leading institution of higher learning, both in India and globally,” he added.
About Chandigarh University
Chandigarh University is a NAAC A+ Grade University and QS World Ranked University. This autonomous educational institution is approved by UGC and is located near Chandigarh in the state of Punjab. It is the youngest university in India and the only private university in Punjab to be honoured with A+ Grade by NAAC (National Assessment and Accreditation Council). CU offers more than 109 UG and PG programs in the field of engineering, management, pharmacy, law, architecture, journalism, animation, hotel management, commerce, and others. It has been awarded as The University with Best Placements by WCRC.
Website address: https://www.cuchd.in/
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