The smart home space within the IoT has long been a bit of an odd industry. While this is the most consumer-driven segment of the IoT industry, it hasn’t really gone beyond the early adoption phase in the general consumer market. Until now.
According to a recent report from Technavio, the smart home market is expected to grow to $ 15.23 billion over the next five years, growing at a CAGR of nearly 18% during this period. This is undeniably good news for smart home device makers and IoT ecosystem providers like Amazon, Google, Apple, etc. The expansion of the smart home, including beyond the walls of our homes and into our neighborhoods, will raise new challenges and present new opportunities. for smart wireless connectivity providers.
The future of smart home design
One of the most common barriers to smart home adoption has always been the perception that it is difficult for consumers to install and maintain them. In the white paper âThe future of smart home designâ, Ease of use is identified as a key factor for a successful implementation. The document states that a smart smart home can learn occupant patterns and preferences through observation and inference and as instructed by user rules and other inputs. These, combined with the observed system data, allow smart homes to make decisions independently without additional human intervention if they are allowed to do so. A person should only have to supervise or potentially override the decisions of the system as exceptions.
Edge Intelligence is a key activation technology that alleviates challenges for both connectivity and bandwidth. In the same article, it is suggested that artificial intelligence and machine learning capabilities can be integrated into edge devices to accelerate and improve complex functions, analytics, and protocols in a fully functioning smart home. The rapid increase in the number of devices added to home networks makes the challenge curve even steeper as homes become more and more connected. Primarily, the increased latency between data collection and decision making drives demand for intelligence at the edge.
AI should work both in edge devices and in hubs and gateways to enable the best smart home implementations. These devices require more local compute and storage resources than ever before to support advanced automation and analytics. An important aspect of selecting components for smart devices is the number of media vendors that the silicon maker has assembled. The more complete the options, the more efficient a system can be.
IoT security has long been an issue for smart home adoption, and now privacy is becoming a major concern for consumers as well. For the smart home – and the IoT as a whole – to evolve, security concerns must be addressed both at the OEM level and at the network level. In addition, the market will need to educate consumers on how they are protected from violations in both areas.
Security threats evolve, so smart devices must evolve too. IoT device manufacturers should prioritize including hardware and software security features that prevent counterfeit devices from using public device identifiers to pretend to be a genuine device, have public / private key pairs. based on ECC on chip and via certificate, and have preventive measures so that bad actors cannot hijack code to take remote control of devices.
These are just a few of the challenges facing the growing smart home market, but the opportunities to overcome these challenges are vast. Smarter homes mean more energy savings, a safer home, less time spent on tasks that are now automated, and a better overall quality of life.
For a deep dive into the specific strategies and skills that can help you develop smarter, safer, and more efficient smart home products, be sure to register for the next Works With by Silicon Labs virtual conference. Works With is ideal for software developers, hardware engineers, product managers and IoT business leaders, offering technical and hands-on workshops and market development strategy sessions.