Smart Image Sensing Market Driven by Implementation of MEMS Technology & Wide Adoption in Industry 4.0

A new market research study by Market Research Hub, titled, “Smart Image Sensing: Patent Distribution, Market Trend and Opportunity Analysis” offers lucid research, analysis, and forecast on the patent distribution and market trends impacting smart image sensing landscape. According to the research, technological advancements over the past few years have resulted into a substantial miniaturization in image sensors, making them efficient, compatible, and cost-effective. The mounting investments, coupled with reduction in development cost for accuracy & speed is expected to be achieved in the near future, with the help of measurement methods, innovative manufacturing technologies, and high-tech signal processing methods. For example – Notch is a wearable motion-tracker application used by individuals to rebuild their body. The motion structure enables an increased performance, reduced injury risks, and enhanced movement techniques, through wireless sensors linked to smartphones.

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According to the report, a significant growth in implementation of micro-electromechanical systems (MEMS) technology in image sensors has led toward an extensive utilization of these smart image sensors in several industries including telecommunication, semiconductor, medical, and automotive. Technological advancements in the MEMS technology are expected to drive demand for smart image sensing in the near future. Companies operating in the smart image sensing market are entering into a number of agreements and partnerships for providing improved products to their consumers. For example – in 2016, Analog Devices Inc., and LifeQ signed an agreement for working together to improve efficiency of the body monitoring devices.

The report further comments that smart image sensing is also experiencing a wide adoption in industry 4.0, which combines the physical world and digital world, establishing as a sensory organ. Evolution of smart image sensing technology is mainly driven by its need for applications. Although these may vary across different markets, numerous commonalities related to smart image sensors could be found in industrial applications, including ongoing trend towards faster output speeds, lower noise, higher resolutions, smaller optical formats, and improved light sensitivity. The challenge, however, lies in combining different technologies such as filter array patterns with unique colors, new pixel geometries, stacked pixel architectures, and backside thinning, in ways to render an improved performance across one or more vectors. The ultimate goal of the industries currently is not the deployment of new technologies as the end of itself, but providing products that render new solutions to image sensing problems faced by customers.

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Taipei-based research institute, by applying data mining techniques, compared and cross-examined nearly 1,800 smart image sensing patents, in a bid to achieve a greater understanding about their distribution based on key technology field. The findings indicated that approximately 80% patents of smart image sensing currently focus on computer technology. It is worth mentioning that medical technology still has a relatively less proportion, creating opportunity for tech companies to invest more into the area. Utilizing data mining techniques, the research institute identified key AI technology fields associated with smart image sensing. Most of the patents of international assignees were found to be concentrated on the natural language data processing technology.

The market for smart image sensing has been witnessing significant transformation, driven by intense utilization of images across a variety of applications worldwide. On the back of increased investments in research and development activities, sensing equipment has become smaller, power-efficient, and affordable, paving numerous opportunities to leading industry players. Moreover, rising concerns regarding security & surveillance in public places such as railway stations, malls, public squares, and parks, along with the surge in terrorist attacks, have further driven demand for better resolution cameras.

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