At CES 2022, the Sleep Number 360 smart bed is being introduced with advanced sensing capabilities and proactive monitoring to enhance the quality of an individual’s sleep and health over time. This smart bed was developed to respond to the changing needs of a sleeper through evolving life stages.
Over time, the smart bed only becomes smarter thanks to machine learning and artificial intelligence, which has the capacity to identify unusual events and alert the sleeper to changes. Potentially, the 360 smart bed could be used to alert users to potential health concerns such as insomnia, sleep apnea or cardiac events.
Sleep Number also created smart furniture to feature and amplify the health and wellness features of the 360 smart bed.
Advanced Sensing Smart Beds
The Sleep Number 360 Smart Bed Generates Real-Time Insights
Trend Themes
1. Smart Sleep Technology - Innovative sleep systems like Sleep Number 360 Smart Bed use AI and machine learning to monitor and improve a person's sleep experience by detecting and alerting to potential health issues.
2. Advanced Health Monitoring - Integration of AI-powered tools in consumer products that can uncover hidden health issues and provide early warnings of medical conditions, enabling tailored preventative care.
3. Intelligent Furniture - The rise of furniture that incorporates smart technology to add value, assist in enhancing health, and promote better living experiences for users.
Industry Implications
1. Sleepwear and Accessories - The smart bed trend is creating opportunities for the development of specialized sleepwear and accessories that work in tandem with smart beds to maximize their benefits.
2. Healthcare Services - Telemedicine, sleep clinics, and other healthcare services can provide tailored treatment plans based on the real-time data collected by smart beds and other connected devices.
3. Data Analytics and AI - Companies specializing in AI and data analytics can leverage the vast amount of sleep-related data generated by smart beds to improve diagnostic tools and algorithms, and propel advancements in sleep research.