If you’ve been dreaming all year of saving serious cash on a new mattress, this is the moment you’ve been waiting for. We’re channeling our inner Dick Clark on New Year’s Eve, counting down the days till Black Friday is upon us. But hold the phone—the best early Black Friday Mattress Deals are starting now. From the best mattresses for back pain to our favorite cooling options, these are the top deals on mattresses the WIRED Reviews team has tested in their own homes. We also track prices all year to see where the best sales are really happening.
So, if it’s on this list, it’s genuinely a good deal. Heads-up: While the prices listed below are for queen sizes, the deals should apply to all mattress sizes. Your dreams of a new king mattress are still going strong.
Updated November 25, 2025: The sales keep coming. We’ve updated this list to reflect which sales are legit and which ones are not really any different than sales we’ve seen earlier this year.
WIRED Featured Deals
Bear
The WIRED Reviews team has crowned the Bear Elite Hybrid as the best mattress for back pain we’ve tested to date. It comes in three firmness options, including Soft, Medium, and Firm. WIRED testers have found Firm helpful for spinal alignment, and you can also add a Celliant cover for a fee, designed to help with muscle recovery. In addition to the sale, Bear is also throwing in a free accessories bundle (two pillows, a sheet set, and a mattress protector). Use WIRED40 for 40 percent off, which is an additional 5 percent off the current offer on the site.
Helix
We test many, many mattresses—so it’s saying something that the Helix Midnight Luxe has been our favorite overall mattress for seven years running. This specific model is designed for side sleepers, but the brand’s slogan is “designed for every body”—there are plenty of options for every sleeping position. Helix’s Black Friday sale is underway, but you can get additional savings by using our exclusive coupon code WIRED27 for 27 percent off.
Saatva
Saatva mattresses strive to be the intersection of luxury, natural materials, and support for many sleepers. One model in particular that we’ve tested, the Saatva Rx, offers serious pressure relief for even the most persistent aches and pains. It incorporates micro coils and pressure-relief foam, so the price is usually on the higher side. However, Saatva’s holiday sales promo should take some strain off your wallet, as you can save $400 off purchases of $1,000 or more. Use our link below.
Nolah
The top pick we’ve tested for side sleepers, Nolah’s Evolution Hybrid, effortlessly bundles together pressure relief, temperature regulation, and spine alignment. The brand is also stacking up a good deal for Black Friday, starting right now. In addition to the 35 percent off sale now, use code WIRED50 for an extra $50 off.
Birch
If you’re looking to get memory foams and other man-made materials out of your bedroom in favor of an all-organic mattress, the Birch Luxe Natural has been a consistent winner for us. It has an organic cotton Euro top that gives your pressure points a cushioned surface to slightly sink into. Layers of natural wool are incorporated underneath for breathable temperature control. Latex is pressure-relieving, like memory foam, but without any chemicals involved. It’s also organic, with Global Organic Latex Standard (GOLS) certification. Pocketed coils help support you where you need it most. Birch is also throwing in two free pillows with every mattress purchase. To make it even better, you can use code WIRED27 for even more savings.
Silk & Snow
Canadian brand Silk & Snow uses high-quality materials and thoughtful construction in its mattresses, with prices that are hard to argue with. In the S&S Organic hybrid’s case, there are several organic certifications too. With GOLS-certified organic cotton, organic wool, and GOLS-certified latex atop pocketed coils, it eliminates any guesswork about materials and focuses solely on support. For Black Friday, Silk & Snow is offering up to $300 off on mattresses, no code needed.
Avocado
Avocado takes the notion of “all-natural” mattresses very seriously, with an extensive list of certifications to back its claims. The Avocado Green hybrid mattress comes in Firm (base model), Medium (pillow top), and Plush (box top, which is an even thicker version of a softer pillow top). Medium and Plush cost a bit extra, but we previously tested the Firm model and loved it. Its organic latex and coil construction provided lumbar support, temperature regulation, and pressure relief to the point where it got a near-perfect score. For Avocado’s Black Friday mattress sale, you can take 20 percent off your purchase, no code needed.
Wolf mattresses are not ones you should overlook. Each time our team has tested a Wolf mattress, we were impressed with its quality and performance. The Wolf 13-Inch Memory Foam Hybrid Premium Firm Mattress is quite a name, but this hybrid mattress excels with temperature control thanks to a cooling cover, foams, and coils. It’s just firm enough that you can move around without feeling stuck, and it also maintains spinal alignment. Wolf’s Black Friday mattress sale is now live, with 15 percent off on your purchase.
Sleep Number
If you’re trying to decide between a sleep tracker or a new mattress, I’ve got news for you—Sleep Number can do both. The p6 is a smart bed that lets you adjust your preferred firmness; pressure relief levels; and, paired with an adjustable base, the angle of the head and foot of the bed. It also tracks your sleep, noting any changes in your heart rate, breathing, and deep sleep. For Black Friday, Sleep Number is offering free shipping plus discounts for bed and base bundles. Free shipping’s a big deal because it’s usually a separate fee from Sleep Number for a team to come set up the bed for you. Now, it’s just part of your purchase.
Tiami
When the aches and pains are too much and your mattress isn’t helping, it’s time to call in the big guns. Tiami’s Luxury Hybrid has a firmer feel; cushioning memory foam layers; and unique, foam-capped coils that help relieve pressure around your joints. It’s a specialty mattress through and through, which makes Tiami’s Black Friday mattress sale even more enticing. It’s the lowest price we’ve seen all year, thanks to its Black Friday promo at 40 percent off, no code needed.
Essentia
You’re searching high and low for an organic mattress, but not just any organic mattress will do—it has to be vegan as well. (Many organic mattresses aren’t vegan due to the inclusion of wool.) For those who aim to live (and sleep!) by vegan protocols, Essentia’s Tatami mattress is right up your alley. It’s got organic cotton, organic latex, and organic foam all meant for pressure relief, temperature control, and strong lumbar support. Essentia is offering 25 percent off mattresses plus two free pillows as part of its Black Friday Mattress sale.
NaturePedic
Naturepedic checks a lot of boxes with its EOS Classic mattress. It’s got customizable firmness on each side of the mattress. It’s one of the best mattresses we’ve tested to date. It’s also made with organic materials, making it one of the best organic mattresses we’ve come across. Naturepedic is offering 20 percent off sitewide for Black Friday and throwing in a free accessories bundle (organic mattress protector and pillows) on orders of $699 or more.
Leesa’s Sapira Chill Hybrid ranks as one of the best mattresses by our account (more specifically, the best hybrid mattress), thanks to its cooling and lumbar support. It features a quilted pillow top with a cooling cover, along with pressure-relieving foams and pocketed coils. There are three firmness levels to choose from, but if you have back pain, you may want to opt for something firmer to support spine alignment. Plus, the Sapira Chill’s pillow top will soften things out a bit. While the price for this mattress isn’t the lowest we’ve seen this year, Leesa’s Black Friday sale is pretty good. You can take 30 percent off select mattresses, including the Sapira Chill.
Plank
For those who feel like a mattress is never quite firm enough, the Plank Firm is one of the team’s favorite beds that delivers a truly firm feel. It’s actually dual-sided, with one side “firm” and the other “extra firm,” so you can get the utmost, unyielding support. It’s been a hit with some of our testers who have back pain and look to firm beds to maintain spine alignment. To keep your wallet balanced, too, Plank is offering 30 percent off with code BFRIDAY30.
These “Sales” Are a Stretch
Purple
Just when you think you’ve got all the types of mattresses down, Purple throws another in the mix. The Purple Restore Hybrid’s defining feature is the GelFlex Grid, a squishy-feeling gel layer that’s designed to maximize pressure relief and airflow. To supplement it, you’ve also got a layer of foam and pocketed coils to round out support. As part of its Black Friday mattress sale, Purple is offering up to $300 off, or up to $800 off a mattress and an adjustable base. Based on our tracking, though, for just the mattress, it’s the same sale run throughout the year, just with different wording. Even so, I have many people inquiring about Purple’s performance.
DreamCloud
DreamCloud mattresses are usually available at prices that seem too good to be true year-round. While the same can be said for Black Friday, the reality is that there isn’t really a “special” sale—unless you count the accessories bundle thrown in with your purchase, which happens occasionally. I’m a longtime fan of the DreamCloud Hybrid, not only for its affordability, but also for its overall pressure relief, responsiveness, and lumbar support. So, despite the lack of sales happening, I think it’s still worth a look.
Puffy
Sigh. Another solid mattress company, running a—let’s call it what it is—faux sale. I enjoyed the Puffy Cloud’s all-foam build and conforming feel around pressure points. Puffy is throwing in two free pillows and two free sleep masks with the purchase of a mattress, but don’t expect significant savings here.
Casper
There’s no denying that the Casper’s The One mattress is an affordable, well-rounded, all-foam mattress. It contours around your body to cushion your pressure points, while the support core keeps your lower back in alignment. But if you think that Black Friday is going to make this particular bed that much more of a deal, you’d unfortunately be mistaken. It remains at the same price we’ve tracked it all year. However, it’s still under $1,000 for a queen-size mattress, in case you need something budget-friendly for a guest room or quick holiday bedroom makeover.
Thuma
Thuma’s not running a Black Friday sale, which is a massive bummer. The Thuma Hybrid mattress has three firmness levels. I found that “Medium” actually felt firmer than anticipated, but it lent excellent support for back pain. Not to mention, we’re big fans of Thuma’s famous Japanese-joinery-style bed frame that looks like a modern sculpture but is easier to put together than an Ikea dresser. Maybe next year, we’ll get a sale.
HOKA’s max-stacked Rocket X Trail combines road race shoe energy with boosted grip from a 3-mm lugged outsole. If you’re looking for a fast shoe to go on the attack, this is it. It’s also fantastic for all round comfort. In testing, I laced up the Rocket X Trail and ran 3 hours (just short of 19 miles) fresh out of the box, across roads, forest gravel trails, some grass and through some serious water. It delivered efficiency and energy whether I was moving at marathon pace or with heavier, tired, ragged footfalls in the latter miles.
The rockered, supercritical midsole uses HOKA’s liveliest foam, similar to those you find in its race-ready road shoes, along with a carbon plate. That combines for a really fun ride that’s smooth, springy and fast and really consistent. It’s also highly cushioned, so you will sacrifice a lot of ground feel for that big stack springy softness. It’s also less stable over very lumpy terrain. But on open, flat, runnable mixed terrain, it’s excellent.
The lightweight uppers have a race-shoe-ready feel and after running through ankle-deep flooded sections, they shed water really quickly. This is a pricey road-to-trail shoe, it’s versatile and there’s plenty of winter road potential, too.
It’s always pleasing to see an array of physical buttons, and you get sizable ones too. You’re not going to miss these wide flat ones even when picking the pace up. The silicone strap has a nice stretch to it and while the button clasp is a bit awkward to get into place, this watch does not budge.
Suunto has jumped on the flashlight trend, with an LED light strip sat on the front of the case. You can adjust brightness levels and there’s SOS and alert modes to emit a very noticeable pulsating light pattern. This is a light I found useful rooting around indoors as well as on nighttime outings.
The biggest change is the introduction of a 1.5-inch, 466 x 466 AMOLED display. This replaces the dull, albeit very visible, memory-in-pixel (MIP) display. Suunto also ditched the solar charging that did require spending a significant amount of time outside to reap its battery benefits.
Adding AMOLED screens to outdoor watches has been contentious. The older MIP displays are just more power-efficient. The Vertical 2 is down by about 10 days from the older Vertical for what Suunto calls daily use.
Still, even if you’re putting its tracking and mapping features to use, you’re not going to be reaching for the charger every few days. After two hours of tracking in optimal GPS mode, the battery only dropped by 2 to 3 percent. The battery drop outside of tracking is also small and the standby performance is excellent as well.
Software Updates
Photograph: Michael Sawh
A more streamlined set of smartwatch features helps reserve battery for when it really matters. Unfortunately, I probably got better battery life because you don’t get phone notifications or responses if it’s paired to an iPhone instead of an Android. There’s also no onboard music player, but you do get a pretty slick set of music playback controls that are accessible during tracking.
Over the past few years, edge artificial intelligence (AI) has quickly transformed from a niche technology to a vital and strategic necessity. This is mainly because it helps resolve or minimise some of the key bottlenecks of traditional cloud-based AI. These include data volume, latency, privacy and cost, among others, while allowing companies to make instant decisions to keep up with modern and increasingly automated operations.
As a result, the deployment of edge AI is no longer only a technical architecture choice, but one that is actively reshaping risk, cost, compliance and responsibility for enterprises. Businesses are increasingly choosing to store sensitive information mainly on local networks, instead of relying on cloud providers, which has further driven the growth of edge AI.
Rather than asking whether or not to adopt edge AI, the crucial question for most companies is how to do so without creating new security, cost and governance issues. As a relatively new technology still, several companies risk implementing edge AI simply to jump on the AI bandwagon, without being fully aware of which situations can most benefit from it.
“Edge AI attracts a lot of enthusiasm because it enables real-time, autonomous decisions. However, the real danger is a false sense of technological maturity,” notes Michaël Bikard, professor of strategy at the Insead business school. “Edge AI can work well locally while producing fragile outcomes at the system level. Historically, that’s when failures occur. Not because the technology fails, but because it is trusted too early, before institutions, organisations and governance are ready.”
As such, understanding the consequences of edge AI deployment is paramount to deciding long-term strategy.
Why businesses are moving from cloud-first to hybrid
Businesses are increasingly choosing a more hybrid AI approach over a cloud-first strategy, driven mainly by larger and more complex AI workloads. Many firms have also been disappointed by the savings achieved by adopting a full public cloud strategy, instead being faced with sharply surging operational costs.
These costs, exacerbated by data-heavy applications, mainly arose from moving large datasets to and from the cloud and between providers. Surprise fees and unpredictable bills have further strained IT budgets and complicated budgeting and forecasts.
Edge AI attracts a lot of enthusiasm because it enables real-time, autonomous decisions. However, the real danger is a false sense of technological maturity Michaël Bikard, Insead
On the other hand, with edge AI, companies can run stable and predictable workloads on-premise much cheaper than in the cloud.
Latency is another overarching concern. Edge AI can often be better than the cloud to minimise latency for applications which need real-time, high-speed processing. These include operational control systems and local analytics, among others.
In highly regulated industries such as finance and healthcare, some data may only be stored within certain jurisdictions, which has further driven the shift to edge AI or on-premise solutions.
Major, single cloud providers can also come with supplier lock-ins, while multicloud environments are increasingly complicated to manage, also leading to hybrid approaches.
A hybrid strategy lets companies use public cloud to train and update applications which need to scale fast, while keeping high-volume, sensitive or stable data on-premise. This allows organisations to balance agility, cost efficiency and operational resilience, especially in a global context where real-time intelligence is increasingly valuable.
Edge AI business drivers: What’s real and what’s noise
At present, most businesses using edge AI have adopted the technology due to practical operational needs. Successful deployments have focused on solving specific, cloud-only limitations, rather than trying to overhaul entire company tech infrastructures.
The need for real-time decision-making has primarily driven edge AI adoption, especially in sectors like infrastructure, logistics, manufacturing and transport. This is especially as latency can have far-reaching operational and financial consequences, which the technology can help significantly in cutting down.
Applying edge AI to these sectors helps companies process data closer to where it is generated, which enables them to react faster during times of lost central connectivity.
The technology also helps organisations dealing with sensitive data stay legally and financially compliant in jurisdictions with especially strict data storage laws.
For companies working on critical operations, edge AI can greatly improve operational resilience by making sure that data and intelligence are distributed throughout a number of locations. This helps reduce dependence on centralised systems, which in turn decreases the impact of outages.
However, some business drivers are vastly overestimated when it comes to influencing the need to implement edge AI. The biggest of these is short-term cost savings. Edge AI can certainly cut down on transfer and cloud data consumption costs in the long-run.
However, it initially needs significant capital expenditure, mainly in the form of hardware device upgrades. There are also ongoing maintenance, monitoring and software update costs following implementation. In some cases, integration with legacy systems may be slower than expected and businesses may have to hire specialised labour as well. Edge AI systems also use considerable amounts of power, leading to higher energy bills.
These factors can all cause costs to be higher in the first few months, requiring businesses to have a long-term view when it comes to seeing strategic benefits from edge AI.
Another notion that is often overestimated is edge AI being able to deliver anything like “super-intelligence”, by running huge, complicated models like datacentre graphics processing units. However, given current computing and power restrictions in most cases, this scenario is highly unlikely at the moment.
Similarly, expectations of businesses being able to switch entirely to edge AI, instead of a hybrid approach, are also unrealistic, mainly because of practical deployment, integration and maintenance limitations across various locations.
How edge AI is changing security, governance and ownership
As edge AI becomes more embedded in hybrid business tech strategies, risk management, enterprise security and governance are also changing, moving away from centralised IT control. These areas are now being shaped by local operational teams taking increasingly autonomous decisions, factoring in the real-time conditions of critical physical infrastructure.
Rising edge AI usage could heighten security concerns as well, as it widens organisational attack surfaces through multiple distributed devices and infrastructure. These then need to be protected, monitored and updated equally, following a set of standard guidelines, despite each of them presenting their own unique limitations.
AI systems can perform exceptionally well under conditions similar to their training data, yet fail abruptly under rare, extreme, or novel scenarios – precisely the situations that matter most in critical infrastructure Florian Stahl, Mannheim Business School
“AI systems can perform exceptionally well under conditions similar to their training data, yet fail abruptly under rare, extreme, or novel scenarios – precisely the situations that matter most in critical infrastructure,” remarks Florian Stahl, chair of quantitative marketing and consumer analytics at Mannheim Business School.
Patch management can pose more issues with edge AI as well, with thousands of endpoints and vulnerabilities causing potential delays and discrepancies in maintenance.
With edge AI being all about local deployments, more questions around version control, oversight and audit issues can arise. This means that companies may need to maintain more in-depth and regular records about data inputs, decision-making processes and operational factors. Highly regulated industries may especially demand evidence trails and seek greater accountability, which can impact company reputations and licences.
“Real-time AI systems, particularly those based on machine learning, often operate as ‘black boxes’, making it difficult to explain or audit decisions when failures occur. This lack of transparency is problematic in infrastructures where accountability and post-incident analysis are essential,” Stahl adds.
As autonomous decisions taken locally can have very real financial, safety and compliance consequences, businesses may be compelled to take accountability far more seriously if they choose to use edge AI.
Senior leadership may also need to adapt centralised organisational and governance models to a more distributed intelligence strategy, all while keeping costs low.
These factors have led to edge AI becoming a structural change just as much as a technical one, impacting how and where decisions are taken, how risk is evaluated and overall accountability.
What leaders should consider before implementing edge AI
Given the considerable initial investment required by most edge AI models, leaders should prioritise long-term strategic impact, rather than the hype of the latest technology. This means that while evaluating company-readiness, apart from timing, the potential scope of the intended edge AI model is paramount.
The biggest factor to consider is which processes or systems are most likely to benefit from using edge AI first and which can wait for a few more months. Ideally, businesses should prioritise any processes where latency, operational risk and data locality are most critical. By doing this, organisations can spread out costs while testing new deployments in a relatively lower-risk manner.
“Importantly, organisations should evaluate AI deployments not only through efficiency metrics, but also through risk-adjusted performance indicators, recognising that marginal efficiency gains are rarely justified if they introduce disproportionate systemic or ethical risks,” Stahl advises.
The next question is: to scale or not to scale? In several cases, a pilot edge AI deployment is either enough for the short-term, does not deliver the expected results, or highlights many hidden costs and operational issues.
In these cases, decision-makers need to evaluate whether it is worth taking the risk to scale, which will need more investment, specialised skills and manpower.
However, knowing when not to use edge AI, and when it could cause more harm than good, is equally important for businesses. This is primarily in cases where data volumes are still low, latency is not crucial, or the company does not have the means to appropriately handle several distributed endpoints.
“Edge AI should not be deployed in sectors where use cases are broad, stakes are high, and the consequences of errors are poorly understood,” Insead’s Bikard states. “That combination usually signals a timing problem rather than a technological one. In open, highly interconnected environments, even small mistakes can cascade before organisations have time to respond.”
In such cases, exercising strategic restraint is far more instrumental to long-term value.
From tech choice to organisational shift
Ultimately, implementing edge AI models should be primarily focused on delivering long-term, strategic value, rather than a trend-based decision. This is especially true if latency and real-time data analysis pose real risks. Businesses need to consider that edge AI use is likely to reshape everything from cost structures and decision-making to autonomy and risk, and prepare accordingly.
“There are real potential gains from using AI for predictive maintenance, but those gains rarely come from the technology alone. For AI to pay off, the surrounding organisation – its incentives, culture, structures and skills – must also adapt. Predictions only create value if people are empowered to act on them,” Bikard concludes.
Enterprises that treat edge AI as an entire operational shift, rather than an independent feature to be tacked onto legacy systems, will inevitably be able to take advantage of it better in the long run.
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