Image Signal Processor and Vision Processor Market 2021 Technology Advancement to 2025

Image Signal Processor and Vision Processor Market - Growth, Trends, and Forecasts (2020 - 2025)

The report will make detailed analysis mainly on in-depth research on the development environment, Market size, development trend, operation situation and future development trend of Image Signal Processor and Vision Processor Market on the basis of stating current situation of the industry in 2021.

This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. It offers critical information pertaining to the current and future growth of the market.

The image signal processor and vision processor market is expected to register a CAGR of 7% during the forecast period (2020 - 2025). 

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Competitive Landscape

The image signal processor and vision processor market is moderately competitive and consists of several major players. In terms of market share, few of these major players currently dominate the market. These important players with a noticeable share in the market are concentrating on expanding their customer base across different countries. These businesses are leveraging strategic collaborative initiatives to improve their market share and enhance their profitability.

Key Developments:

- March 2020 - STMicroelectronics launched its new high-speed image sensors that use global shutter as the preferred mode for capturing distortion-free images when the scene is moving or when near-infrared illumination is needed. STs advanced image-sensor process technologies enable class-leading pixel size while offering both high sensitivity and low crosstalk.

 

- Jun 2019 - Cadence Design Systems Inc. announced that Toshiba had implemented the Cadence Tensilica Vision P6 DSPs for its next-generation automotive SoC to meet functional safety requirements. The Vision P6 DSP provides high compute throughput with low power consumption, small core area, and a strong partner ecosystem, and is certified to meet functional safety requirements, making it the ideal choice for automotive applications.

The Image Signal Processor and Vision Processor Market is expected to witness a substantial growth due to a rise in the adoption of image signal processor and vision Processor systems across a broad range of industry verticals, including consumer electronics, healthcare, automotive, and manufacturing. Notable investments in research, production, and development are also adding to the growth of the market. Besides, advances in electronics and semiconductor organizations that have built low-cost hardware with advanced innovations and abilities have led to the growth of the ISP and VPU industry.

- The market holds enormous growth potential for premium products like smartphones, and the use of cameras and drones for surveillance applications. Furthermore, the surge in the usage of VPUs in security and surveillance cameras, unmanned aerial vehicles (UAVs), and automobiles, among other application areas, is driving the growth of the market.

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Key Market Trends: 

Consumer Electronics to Hold Dominant Size of the Market
- The increasing deployment of ISPs and VPUs in VR products, smartphones, drones, etc., is pushing the image signal Processor and Vision Processor Market for consumer electronics. Constant innovations in these products, inducing advanced features and functionalities, add to their increasing adoption. Demand to bring superior products with upgraded consumer experience and excellent functionalities drive the adoption of ISPs and VPUs by OEMs.
- Fast processors, connectivity, superior camera quality, and applications make smartphones the most thriving consumer electronic devices in terms of their adoption. Unlike phones available now, future smartphones will leverage innovations such as 5G connectivity, machine-learning chips, AI capabilities, and more powerful processing power.
- VPUs, which use dedicated AI chipsets, enhance the user experience by inducing the AI computing capacity to the devices. Growing demand for premium smartphones due to advanced characteristics, such as higher security, faster computing, low latency, and less dependence on connectivity, is expected to encourage the adoption of dedicated AI chips.

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