A growing number of consumer home-and-lifestyle products have been getting progressively smarter since the late 1980s when internet technology became more mature and market demand took off.
Growth remains on a steep upward trajectory. 

These smart IoTenabled devices for homes are products of rapid innovation cycles and connected to the internet, offering higher functionality. Consumers can control the devices from anywhere, from preheating a spa and oven- to programming a robot to clean on schedule. 

Smart products can work independently. However, integrating this intelligence presents manufacturers with a big challenge—namely, how to design and build reliable devices that are affordable and easy to use.
Unlike earlier generations of “dumb” products, smart devices pose design complexity because they require software-intensive cyber-physical systems. Cyber-physical systems depend upon the seamless integration of computation and physical components. These Internet of Things (IoT)-enabled products also require more components, built-in security and much more. As a result, product development requires the use of advanced digital tools and methods, such as model-based systems engineering (MBSE), as well as the integration of multiple engineering disciplines, as I’ll discuss momentarily

 
Though used in all industry verticals, IoT devices comprised about 60% of the consumer market in 2020, according to Statista, a global business intelligence platform. Overall, the number of IoT devices is forecast to grow to more than 8 billion by 2030.