Skip to main content

Growth of Digital Cameras in New Devices

Continued uptake of digital cameras in mobile phones, notebook PCs and other CE devices is driving growth in the area-array image sensor market, according to the latest market study by In-Stat.

Worldwide unit shipments of image sensors in camera phones continue to rise, mostly as a result of the continuing penetration of dual-camera phones in Asian markets. These phones utilize both a traditional point-and-shoot camera, as well as a second, inward-facing camera for two-way video communication.

As in most aspects of advanced mobile phone applications, the Asia-Pacific market continues to lead the way for others to follow. A promising new image sensor application is also taking hold.

"Currently a small segment of the market, embedded PC cameras will surpass digital still cameras to become the second-largest application for image sensors by 2011," says Brian O'Rourke, In-Stat analyst.

"A few years ago, only Apple incorporated cameras into desktop and laptop computers -- in 2008, nearly all major PC manufacturers offered embedded PC cameras in mobile PCs."

In-Stat's market study found the following:

- Camera phones comprised nearly 81 percent of area-array image sensor shipments in 2008, a share that is expected to shrink only slightly through 2013.

- Other key applications include: Digital Still Cameras, Camcorders, Security Cameras, Web Cameras, Consumer IP Cameras, Embedded PC Cameras, Embedded LCD Monitor Cameras, Toys, Automotive.

- CMOS sensors dominated image sensor shipments in 2008, with more than an 87 percent share.

- CMOS will make up 62 percent of security camera image sensors by 2013.

- While CMOS is gaining in digital still cameras, it will not surpass CCDs until 2013.

- Among the many competitors in this market are Aptina, MagnaChip, OmniVision Technologies, Sharp, Sony, and Panasonic.

Popular posts from this blog

Navigating AI Implementation Challenges in 2025

As we approach 2025, the global Artificial Intelligence (AI) market is poised for significant growth. Traditional AI spending is rising, while Generative AI (GenAI) struggles to meet lofty expectations. This apparent dichotomy presents challenges and opportunities for vendors and business leaders navigating the complex world of AI implementation. Let's explore the overall situation. Traditional AI: A Pragmatic Approach In the coming year, we expect to see a surge in traditional AI spending as enterprises seek pragmatic, ROI-driven solutions. This trend is driven by a growing recognition of the limitations and risks associated with GenAI projects, which have shown alarmingly high failure rates of 80 to 90 percent in proof-of-concept stages. The trend towards traditional AI is further supported by data from Amazon Web Services (AWS), which revealed that over 85 percent of AI projects in 2024 were not based on GenAI.  This insightful statistic underscores the continued relevance and ...