Skip to main content

ZigBee Wireless Sensor Network Application

Broadband services continue to be in high demand, attracting millions of new subscribers worldwide each month, and enabling new applications, according to the latest In-Stat market study.

In-stat projects that Automatic Meter Reading (AMR) and smart energy will be the leading applications for 802.15.4 and ZigBee wireless sensor networks. Other growing application segments include consumer electronics, building control, industrial process control, and residential automation.

ZigBee, through its impressive marketing efforts in the U.S., has owned the largest mind share in the wireless sensor networking space for the past several years.

However, a host of proprietary software stacks are being used in applications where ZigBee offers more than what is required by the specific applications, the high-tech market research firm says.

"A large number of technologies are being used for countless applications, with ZigBee usage becoming more focused on the fast-growing smart energy application," says Brian O'Rourke, In-Stat analyst.

"On a global basis, utilities and governments are leveraging these technologies to provision, monitor, and bill customers more efficiently while also benefiting the environment."

In-Stat's market study found the following:

- 802.15.4 node and chipset units will reach 292 million in 2012, up from 7 million in 2007.

- Only one-third of 802.15.4 chips include a ZigBee stack, demonstrating the fragmentation among competing sensor network technologies and software stacks.

- 802.15.4 is emerging in consumer electronics markets through efforts by RF4CE.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...