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GigE Camera Market Trends

Report ID: GMI9411
Published Date: May 2024
Report Format: PDF

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GigE Camera Market Trends

GigE cameras are being increasingly utilized in Industry 4.0 initiatives, especially in manufacturing, due to their ability to facilitate high-speed data transmission and seamless integration with automation and robotics systems. These cameras enable real-time monitoring and control of production processes, ensuring efficiency and accuracy. Their compatibility with Ethernet networks allows for easy deployment in existing infrastructures, making them a preferred choice for modern manufacturing facilities aiming for increased automation and productivity.

GigE cameras leverage existing Ethernet infrastructure, reducing the need for costly infrastructure upgrades. While initial setup costs may be higher than USB alternatives, this compatibility leads to long-term cost savings. Users benefit from lower maintenance and integration expenses, as well as simplified scalability. This cost-effectiveness makes GigE cameras a favorable choice for businesses seeking efficient imaging solutions without significant ongoing infrastructure investments.

Authors: Suraj Gujar , Deeksha Vishwakarma

Frequently Asked Questions (FAQ) :

The market size of GigE camera reached USD 1.2 billion in 2023 and is set to witness 10% CAGR from 2024 to 2032, due to its pivotal role in automation and quality control across various industries.

The CMOS (complementary metal oxide semiconductor) technology segment is estimated to grow at over 11.5% CAGR from 2024 to 2032, owing to their ability to offer improved dynamic range and superior image quality.

The area scan cameras segment in the GigE camera industry is anticipated to exceed USD 1 billion by 2032, on account of their ability to offer long-term cost-effectiveness by leveraging existing infrastructure and their compatibility with Ethernet networks.

North America market accounted for over 35% revenue share in 2023 and is estimated to depict substantial gains between 2024 and 2032, owing to the robust manufacturing sectors and technological advancements in AI and IoT.