One of the major factors fuelling the rise in the demand for vision sensors is the surging packaging industry across the world, especially in the emerging economies such as India and China. For instance, as per The Federation of Indian Chambers of Commerce and Industry (FICCI), the plastic packaging industry in India recorded a CAGR of more than 14.0% during 2010–2017. In addition to this, the soaring pharmaceutical and food packaging industries and rising number of exports requiring superior packaging quality are significantly contributing toward the growth in the demand for vision sensors.

The burgeoning demand for vision sensors from the automotive industry is another important factor pushing the demand for these sensors across the globe. In automotive industry, vision sensors are required for identification, localization, and inspection applications. Moreover, the escalating vehicle production and increasing automobile manufacturing activities in several countries around the world, such as Thailand and Indonesia are boosting the need for vision sensors, especially for use in the various automobile manufacturing processes.

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Driven by the above-mentioned factors, the revenue generated from the global sales of vision sensors was recorded to be $2.5 billion in 2019, and this number is expected to rise to $9.2 billion by 2030. The global vision sensor market is predicted to progress at a CAGR of 12.7% during the forecast period (2020–2030). Vision sensors are widely used in the automotive, food & beverage, pharmaceutical, electronics, and packaging industries. Amongst these, the packaging industry is expected to record the fastest growth in the usage of vision sensors during the forecast period, due to the rising preference for flexible packaging.

The biggest trend presently being observed in the vision sensor market is the rising demand for smart vision sensors across the globe. This is mainly attributed to the numerous advancements and innovations in technologies such as big data, artificial intelligence (AI), and cloud and rising incorporation of internet of things (IoT) in business operations. Moreover, the use of deep learning technology in vision sensors allows these sensors to detect defects from a set of reference data pictures. For instance, the Industrial Technology Research Institute (ITRI) of Taiwan started adopting 3D smart vision sensors in its garment production processes in 2019.