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The Global Machine Vision (MV) Camera Market size is estimated to grow by USD 1.50 billion between 2022 and 2027, accelerating at a CAGR of 8.74%. The growth of the market depends on several factors, such as increased demand in non-industrial sectors, increasing adoption of MV systems for medical and life science research, and increased demand for vision-guided industrial robots in the APAC region.
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The 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 growth strategies.
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 BV: The company offers cameras for MV applications, healthcare, security, and other solutions. It also offers different types of machine vision cameras such as the Quartz and Sapphire series.
Banner Engineering Corp: The company offers different types of sensors for machine safety, industrial safety, and others.
We also have detailed analyses of the market’s competitive landscape and offer information on 18 market companies, including:
The report offers clients a deeper understanding of the market and its players through a combined qualitative and quantitative analysis of the companies. The analysis classifies companies into categories based on their business approach, including pure-play, category-focused, industry-focused, and diversified. companies are specially categorized into dominant, leading, strong, tentative, and weak to understand the dos and don’ts of business which in turn can help a client make the best decision.
Global Machine Vision Camera Market Customer Landscape
This market research report extensively covers market segmentation by 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). It also includes an in-depth analysis of drivers, trends, and challenges. Furthermore, the report includes historic market data from 2017 to 2021.
The PC-based camera segment will contribute majorly to the market, as it easily interfaces with image acquisition boards. The PC-based camera segment showed a gradual increase in market share with USD 1.24 billion in 2017 and continued to grow by 2021. PC-based systems easily interface with direct-attached cameras and image capture cards and are fully supported by configurable vision application software. PC-based vision cameras have efficient processing power and can handle complex operations at high speed. This wide range of performances also allows the PC system to compensate for unexpected variables in specific tasks.
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In addition, suppliers introduce new products to the market. For example, Omron Automation Americas announced a complete solution package that can be easily installed on any PC-based system. The new FJ2 camera features a state-of-the-art Complementary Metal Oxide Semiconductor (CMOS) sensor, frame rates of up to 282 frames per second (FPS), and resolutions from 0.4 MP up to 5 MP in monochrome and color versions. This is expected to accelerate market growth during the forecast period.
A line scan camera has a single line of pixels that produces the image of the object. It is mainly used for high-resolution images. This segment is expected to grow during the forecast period owing to high-resolution imaging capabilities and cost-effective solutions. In addition to expanding their customer base, providers are introducing new products to the market. For example, Teledyne DALSA, a Teledyne Technologies company, launched its Camera Link HS (CLHS) multispectral line scan camera. Also, Chromasens launched its CMOS line scan camera, the allPIXA evo 8K DXGE Color X, designed for high-speed color inspection. This will drive the growth of the market during the forecast period.
Our researchers analyzed the data with 2022 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.
The increasing adoption of the systems for medical and life science research is the key factor driving the global market growth. Researchers around the world are realizing the benefits of cell imaging tools for life science and medical research. Cellular imaging is a technique that creates a visual representation inside the body for clinical analysis and medical intervention and aids in preliminary analysis and detection of diseased tissue. This procedure is non-invasive and valuable for analyzing cells in real-time. Integrated cell imaging systems create high-resolution 3D cell culture models in the drug discovery process.
They are commonly used in medical, microscopy, and life science applications. These cameras enhance the sensitivity of interference microscopy necessary to analyze biophysical properties at the single-cell level, enabling researchers to analyze these properties under different pathophysiological conditions and in response to different treatments. These are also used to detect metastases in ovarian tissue during cancer diagnosis and treatment. These factors will drive the growth of the market during the forecast period.
The augmented demand for smart cameras will fuel the market growth. Smart cameras often support MCV by digitizing and transmitting still images for computer analysis. A smart camera has a single embedded image sensor. They are typically designed specifically for specialized applications where space constraints require a small footprint. As a complement to a multipart MCV or as a standalone image processing unit, smart cameras are used for various automation functions. Easy-to-use smart cameras are a good choice for streamlining automation methods and integrating vision systems into manufacturing workflows. Smart cameras are in high demand in industrial production, often used for inspection and quality assurance. Hence, increasing demand for smart cameras drives the market in various industrial applications.
The high cost of implementing machine vision cameras can majorly impede the growth of the market. The systems use cameras, software, and advanced technology. The overall price of these systems is rather high and requires a high initial cost. This poses a major obstacle for end-users, especially small and medium enterprises (SMEs) in both developed and developing countries. Costs also increase due to customization and other operational requirements based on the intended use of multiple cameras in industrial applications. To deploy a vision system, the end user customizes the vision system to the application being deployed. Aside from the maintenance costs associated with tuning these systems, the base price of smart cameras is also higher. That's because smart cameras are equipped with advanced technology to deliver sharp, accurate images and automatically adjust lights and sensors to precisely focus images. Smart cameras are used to take advantage of experience to get clear and accurate images. While demand for smart cameras is high, companies find it difficult to produce smart cameras at a low cost.
Many companies offer smart cameras, but few companies offer sensors in the market. Two cameras with the same number of pixels can have different sharpness, making it difficult for camera sellers to produce a sensitive and sharp camera at a low cost. Increased competition also makes it harder for companies to sell their cameras at higher prices. This is because the market is not concentrated enough for companies to use their brand image to sell cameras at high prices. Therefore, high implementation costs negatively impact production costs, thereby reducing vendor profit margins and hampering the market growth during the forecast period.
APAC is estimated to contribute 46% to the growth by 2027. Technavio’s analysts have elaborately explained the regional trends, drivers, and challenges that are expected to shape the market during the forecast period.
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The market in the APAC region shows strong growth potential as companies bring innovative and cost-effective cameras to the region. The main driver of market growth in this region is the increasing development and adoption of machine vision systems in countries such as China, Japan, and Indonesia. The booming automotive and semiconductor industries in China and Japan will also support market growth in APAC. China, Japan, India, Indonesia, Malaysia, and South Korea have emerged as the dominant countries in the APAC region market, with the majority of sales coming from the automotive, electronics, and semiconductor sectors. Expansion projects announced in these countries are also contributing to the market growth in these countries.
The market research report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the market growth and trends opportunities from 2017 to 2027.
The market is a dynamic industry, offering advanced surveillance solutions for various sectors like commercial and residential. AI adoption enhances efficiency, especially in the manufacturing and logistics industries, where it improves quality control, safety monitoring, and process optimization. AI cameras help detect product defects on assembly lines and ensure worker safety compliance.
However, data security is crucial due to the large volumes of video and image data. Integration of AI cameras in healthcare is also growing, enabling digitalization and computer vision capabilities for better patient care, process optimization, and healthcare outcomes. These cameras provide high-definition video and audio for telemedicine consultations and remote healthcare interactions, aiding in the diagnosis and treatment planning for skin conditions, wounds, and more. However, challenges remain, such as a lack of standardization and interoperability issues among smart devices, software applications, and IoT devices used in surveillance software.
Machine Vision Camera Market Scope |
|
Report Coverage |
Details |
Page number |
168 |
Base year |
2022 |
Historic period |
2017-2021 |
Forecast period |
2023-2027 |
Growth momentum & CAGR |
Accelerate at a CAGR of 8.74% |
Market growth 2023-2027 |
USD 1494.12 million |
Market structure |
Fragmented |
YoY growth 2022-2023(%) |
7.9 |
Regional analysis |
APAC, North America, Europe, Middle East and Africa, and South America |
Performing market contribution |
APAC at 46% |
Key countries |
US, Canada, China, Japan, and Germany |
Competitive landscape |
Leading companies, Market Positioning of companies, Competitive Strategies, and Industry Risks |
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., TKH Group NV, and Teledyne Technologies Inc. |
Market dynamics |
Parent market analysis, Market Forecasting, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period |
Customization purview |
If our market report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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