Machine Vision (Mv) Camera Market Size 2024-2028 

The machine vision (mv) camera market size is forecast to increase by USD 1737.5 million at a CAGR of 9.31% between 2024 and 2028. The market is experiencing significant growth, driven by the increased demand in non-industrial sectors such as healthcare, retail, and transportation. This expansion is due to the need for automation and increased efficiency in various applications. Another trend in the market is the augmented demand for smart cameras, digital camera  which offer advanced features like image processing, analytics, and connectivity. However, the high cost of implementation remains a challenge for the market's growth, particularly for small and medium-sized enterprises. Despite this, the machine vision market is expected to continue its upward trajectory, driven by technological advancements and the growing demand for automation and precision in various industries.

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Machine vision cameras, also known as MV cameras, play a crucial role in automating various industries by enabling machines to see and interpret their environment. These cameras are used for applications such as position guidance, measurement, and pattern recognition. The market for machine vision cameras is diverse, catering to different industries and applications. Some of the popular types include smart cameras, wireless cameras, wearable cameras, parking cameras, automotive camera, CMS cameras, and SVS cameras. MV cameras are integrated with advanced features like barcode scanners, 3D imaging capabilities, and line scan technology. Lens type is another essential factor, with wideangle lenses and normal lenses being commonly used.

Machine vision cameras are integral to industries like automotive, electronics, food and beverage, and pharmaceuticals, among others. They enable efficient production, quality control, and process optimization, making them an indispensable tool for modern manufacturing.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

• Platform
  • PC based camera
  • Smart camera
  • Wireless camera
  • Wearable camera
• Type
  • Line scan
  • Area scan
  • 3D scan cameras
• Geography
  • APAC
    • China
    • Japan
  • North America
    • Canada
    • US
  • Europe
    • Germany
  • Middle East and Africa
  • South America

By Platform Insights

The PC based camera segment is estimated to witness significant growth during the forecast period.Machine vision cameras, also known as MV cameras, play a pivotal role in various industries by enabling position guidance, measurement, identification, and pattern recognition. These smart devices employ imagerecognition algorithms to automate tasks such as inspection, quality assurance, and 3D modeling in manufacturing industries. Machine vision cameras come in different types, including smart cameras, PC-based cameras, wireless cameras, wearable cameras, and specialized cameras like CMS, SVS, line scan, and 3D imaging cameras. USB3 cameras are increasingly popular due to their high-speed data transfer capabilities. Advanced manufacturing sectors like aerospace, transportation, and smart factories leverage machine vision cameras for automation and AI-driven applications.

Digital sensors in MV cameras facilitate applications in agriculture drones, microscopy, autonomous vehicles, parking cameras, and barcode scanners. Strategic partnerships and lens types, such as wideangle and normal lenses, further expand the production capacity and versatility of machine vision cameras.

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The PC based camera segment accounted for USD 1326.10 million in 2018  and showed a gradual increase during the forecast period.

Regional Insights

APAC is estimated to contribute 47% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Machine Vision (Mv) cameras play a pivotal role in various industries, from semiconductors to automotive, by enabling automation technology for quality tests and component identification. These cameras come in different lens types, including telephoto and wide area, catering to diverse application requirements. Telephoto lenses offer high-resolution images for precise identification of components, while wide area lenses provide broad coverage for inspecting large facilities and power lines. UAV-based inspections have gained popularity in industries such as electric utilities, with Mv cameras mounted on drones for assessing power lines and infrastructure. The compact footprint of these cameras facilitates their integration into industrial production and manufacturing operations, enabling real-time monitoring and analysis.

Moreover, the advent of electric vehicles, connected vehicles, and autonomous vehicles necessitates stringent quality checks, further driving the demand for Mv cameras in the automotive sector. Embedded image processing technology in these cameras ensures efficient data handling and analysis, contributing to improved industrial productivity.

Our machine vision (mv) camera market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Market Driver

The market experiences growth due to expanding applications in various non-industrial sectors. Machine vision cameras play a pivotal role in various non-industrial sectors, including defense, forensics, healthcare, traffic management, and agriculture, by delivering high-quality inspection images that aid stakeholders in minimizing errors. In agriculture, machine vision systems are employed for processes such as fruit picking and vegetable root removal. Subsequently, these produce undergo quality control inspections using machine vision technology. Additionally, machine vision cameras are utilized in smart manufacturing for position guidance, measurement, identification, pattern AI image recognition, and automation applications. Smart cameras and PC-based cameras, equipped with advanced image recognition algorithms, are popular choices. Moreover, the integration of AI, wireless and wearable cameras, 3D modeling, and 3D imaging cameras, such as line scan cameras, CMS cameras, SVS cameras, and USB3 cameras, expand the application scope.

Machine vision systems are also instrumental in advanced manufacturing sectors like aerospace, transportation, and smart factories. The lens type, including wide-angle and normal lenses, further enhances the versatility of these cameras.

Market Trends

The market experiences a significant increase in demand due to the integration of smart features in cameras for enhanced automation and improved product quality in various industries. Machine vision cameras, also known as MV cameras, play a crucial role in various industries by enabling position guidance, measurement, identification, and pattern recognition through image recognition algorithms. Smart cameras, a type of MV camera, are increasingly popular due to their compact size and embedded image sensors. They are ideal for specialized applications where space is a constraint and offer advantages such as ease of use and cost-effectiveness. Smart cameras are widely used in manufacturing industries for automation, including smart manufacturing, automotive, aerospace, and transportation. Applications range from quality assurance and inspection to 3D modeling and microscopy. In addition, smart cameras are integrated into systems such as autonomous vehicles, parking cameras, CMS cameras, SVS cameras, barcode scanners, and 3D imaging cameras.

Strategic partnerships and advancements in technology, including USB3 cameras and various lens types like wideangle and normal lenses, continue to drive market growth. Machine Vision is revolutionizing various sectors, including agriculture drones, production capacity enhancement, and AI-based applications.

Market Challenge

The market incurrs a significant investment for implementation due to the expensive components and advanced technologies required for manufacturing high-performance cameras. Machine vision cameras play a pivotal role in automating various industries by enabling position guidance, measurement, identification, and pattern recognition. These advanced imaging devices are used in smart manufacturing, quality assurance, and automation processes in sectors such as aerospace, transportation, and manufacturing industries. Machine vision systems consist of cameras, software, and advanced technologies, making them expensive. The cost of these systems is a significant barrier for small and medium-sized enterprises (SMEs) in both developed and developing countries. The price of machine vision cameras varies depending on their customization and operational requirements. Smart cameras, equipped with advanced technologies for image recognition algorithms and automation, are more expensive than PC-based cameras.

The market for machine vision cameras includes various types, such as wireless cameras, wearable cameras, CMS cameras, SVS cameras, line scan cameras, and 3D imaging cameras. Additionally, lens types, including wide-angle and normal lenses, also impact the cost. Advanced manufacturing sectors, such as automotive, electronics, and pharmaceuticals, are increasingly adopting machine vision cameras for inspection, microscopy, and 3D modeling. Strategic partnerships and the availability of USB3 cameras have made these systems more accessible to a broader range of industries. Machine vision cameras are also being integrated into applications such as agriculture drones, autonomous vehicles, and parking cameras. Despite the high initial investment, machine vision cameras offer significant long-term benefits in terms of increased production capacity and improved product quality.

Digital sensors and AI technologies are also driving innovation in machine vision cameras, further expanding their applications.

Exclusive Customer Landscape

The mv camera market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

 Customer Landscape

Key Companies & Market Insights

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

Adimec Advanced Image Systems bvIn the realm of Machine Vision (Mv) technology, our company is a leading provider of advanced imaging solutions for the sports industry. Our offerings encompass a comprehensive range of sports products, each designed to optimize performance and enhance the user experience. Leveraging the latest Mv camera technology, we deliver high-precision, real-time image analysis capabilities that cater to various applications within sports, from athlete performance tracking to ball and player recognition. Our commitment to innovation and quality ensures that we remain at the forefront of this dynamic market, providing our clients with cutting-edge solutions tailored to their unique needs.

The market research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

• 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.
• TKH Group NV

Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

Research Analyst Overview

Machine vision cameras, also known as MV cameras, play a crucial role in various industries such as manufacturing, agriculture, and transportation. These cameras employ image recognition algorithms for position guidance, measurement, identification, and pattern recognition. Smart cameras and PC-based cameras are popular choices due to their advanced capabilities, while wireless, wearable, and CMS cameras offer flexibility and mobility. In smart manufacturing, MV cameras are integral to automation and quality assurance in industries like aerospace, transportation, and advanced manufacturing. AI and machine learning enhance their capabilities, enabling applications in inspection, microscopy, and 3D modeling. MV cameras come in various types, including USB3, line scan, and 3D imaging cameras.

Lens types like wide-angle and normal lenses cater to different applications. Strategic partnerships and collaborations contribute to the growth of the MV camera market. Applications include barcode scanning, autonomous vehicles, parking cameras, and SVS cameras. Digital sensors and image processing technologies continue to drive innovation in this sector.

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What are the Key Data Covered in this Market Research and Growth Report?

• CAGR of the market during the forecast period
• Detailed information on factors that will drive the market growth and forecasting between 2024 and 2028
• Precise estimation of the size of the market  and its contribution of the market in focus to the parent market
• Accurate predictions about upcoming market growth and trends and changes in consumer behaviour
• Growth of the market across APAC, North America, Europe, Middle East and Africa, and South America
• Thorough analysis of the market's competitive landscape and detailed information about companies
• Comprehensive analysis of factors that will challenge the growth of market companies

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