The tension between data-driven optimization and over-monitoring is a recognized challenge in the broader sleep health space. The Global Wellness Institute has noted a rise in “orthosomnia,” a phenomenon where obsessive focus on sleep tracking metrics itself becomes a source of sleep anxiety. As wellness brands adapt, those that find the right balance between useful data and relaxed sleep environments may hold a competitive advantage.
Technology is accelerating the personalized sleep trend on multiple fronts. Smart beds equipped with embedded sensors can now track heart rate, breathing, and movement without wearables, feeding that data to apps that offer coaching and automatic adjustments.
Ergomotion unveiled its Sleep Assist app at CES 2026, an offering that exemplifies the direction the category is moving.
“There’s no subscription. It pairs straight with our smart adjustable beds using built-in sensors, and no wearables are needed,” Nicole Slinger, vice president, product marketing, Ergomotion said. “It tracks real metrics: sleep time, heart rate, breathing, movement, and snoring. It gives you scores, patterns, simple coaching, auto anti-snore, and Zero-G to reduce stress and recover better.”
The company is still gathering data on the app’s impact, but sees it as a key value-add for its brand partners.
Not everyone in the industry, however, views technology as the answer. Engineered Sleep deliberately limits its reliance on digital tools.
“We actually look at too much tech as a negative,” Jay Orders, president Engineered Sleep, said. “We try to focus on all of the factors that make for good sleep with less interfacing with modern technology.”
Bobby Cleveland, president, Verlo Mattress, arrived at a similar conclusion through experience. The company once offered a proprietary sensor app but eliminated it after discovering it was counterproductive.
“We found people were too hyper-focused on the numbers and it was actually interrupting their sleep,” Cleveland said. “We’re not in the tech business; we’re in the sleep business. Much of our tech happens through the bases.”
Wake Up to AI
While not all sleep industry professionals are sold on fancy apps, market data underscores the broader demand for AI-enabled sleep solutions. According to SNS Insider, AI-enabled sleep products are expected to grow at the fastest compound annual rate in the sleep tech sector—21.07 percent—driven by predictive analytics, personalized sleep insights, and smart home integration.
Top sleep apps with smart home integration allow users to automate environments (lights, temperature, sound) based on sleep cycles, using platforms like IFTTT, Home Assistant, or direct integrations. Top apps include Sleep as Android (highly integrable), Sleeptracker-AI (via IFTTT), and Sleepme (for smart mattress temperature control) to create, for example, a “goodnight” routine that dims lights and locks doors when people fall asleep.
So, as the smart sleep ecosystem matures, the winning formula may not be about adding more sensors or more dashboards, but about knowing when to fade into the background. The next era of sleep tech will likely be defined less by how much data it collects and more by how seamlessly it disappears, quietly optimizing temperature, position, lighting, and sound without demanding attention.
