Fitness Equipment's $22.5B Path to 2035: The Brand Playbook
The global fitness equipment market is heading toward $22.5 billion by 2035, according to an April 2026 openPR market report. That number matters. But the more consequential signal buried in the forecast isn't the revenue figure itself. It's what's driving it: AI-integrated training systems, connected home fitness platforms, and digital coaching ecosystems that turn physical hardware into recurring revenue engines.
For equipment brands still competing on frame weight, resistance precision, and warranty terms, the next decade is going to be uncomfortable. The brands that understand this shift early are already repositioning. The ones that don't are building assets that will depreciate faster than their equipment.
Why This Market is Growing, and Why Hardware Alone Won't Capture It
The $22.5 billion projection isn't being driven by people suddenly buying more treadmills. It's being driven by a fundamental change in what consumers expect a fitness product to do. They want a training partner, not a machine. They want personalization, progress tracking, and coaching feedback delivered through the device they're already sweating on.
This expectation shift has been building since the pandemic accelerated home gym investment at scale. Consumers who spent $1,500 to $3,500 outfitting a spare room between 2020 and 2022 didn't stop valuing that infrastructure. They upgraded it. Mid-tier connected equipment from brands with legitimate software layers held value. Standalone hardware without digital integration lost it.
The downstream effect is predictable: brands that invested in proprietary software ecosystems during that window are now sitting on recurring subscription revenue. Brands that didn't are facing a commoditized market where price compression is relentless and differentiation is nearly impossible.
Garmin's 42% Growth Is a Signal, Not an Anomaly
Skeptics of premium fitness hardware spending in the current economic environment got a data point they can't easily dismiss. Garmin's fitness segment posted 42% revenue growth in Q1 2026, a performance that came against a backdrop of elevated interest rates and compressed consumer discretionary budgets.
What does that tell you? Consumers aren't pulling back from fitness hardware. They're trading up to hardware that justifies its price with data richness, ecosystem integration, and platform stickiness. A $450 fitness tracker that syncs with training apps, sleep analytics, and coach dashboards doesn't compete with a $80 step counter. They're different categories now.
The full strategic implications of that growth quarter are worth examining closely. Garmin Q1 2026: What 42% Wearables Growth Signals breaks down what that performance means for brands thinking about hardware-plus-platform positioning in the current market.
The pattern aligns with what's happening in adjacent wellness verticals. Athleisure's $1.15T Forecast: What Brands Must Do Now shows a similar structural shift: consumers are spending more on premium wellness products, but only when those products deliver a connected, personalized experience that justifies the price point.
The Recurring Revenue Wedge: Software Layers and Defensible Margins
Here's where the competitive dynamics get sharp. Equipment brands that have embedded proprietary coaching or AI personalization into their products aren't just selling hardware anymore. They're selling access to a training ecosystem. That changes the entire margin structure of the business.
A brand that sells a $1,800 connected strength platform and then charges $39 per month for AI-personalized programming has fundamentally different unit economics than a brand selling a $1,800 machine with no digital layer. The second brand competes on hardware cost. The first brand competes on platform value. Those are not the same race.
This is precisely what's compressing margins for commodity equipment players. When a consumer can access AI-driven personalization through a connected device, the perceived value of an unconnected alternative collapses. The fitness consumer who's read about how mixing up workouts could help you live longer isn't looking for a machine that does one thing. They want a system that adapts to their goals over time.
The AI personalization market layered on top of fitness hardware is itself a substantial opportunity. Hyper-Personalized Fitness: The $31B Market Taking Shape outlines why brands that position themselves as data ecosystems rather than equipment manufacturers are capturing a structurally larger addressable market.
Commercial Gyms: A Separate but Parallel Pressure
The home fitness narrative can obscure what's happening in the commercial segment, which remains a significant portion of total equipment spend. Commercial gym operators are facing their own version of this shift. Equipment purchasing decisions that used to center on durability and floor aesthetics now include integration requirements for occupancy analytics, member performance tracking, and AI-assisted workout recommendations.
Operators who have invested in connected equipment infrastructure are reporting tangible retention benefits. When a gym member's workout history, heart rate data, and progress metrics are tied to the facility's equipment ecosystem, switching to a competitor becomes more costly. That's not a coincidence. It's the same platform lock-in dynamic playing out at the commercial level that Peloton tried to engineer at the consumer level, but with better underlying economics for operators who own the physical space.
US gym membership hit record levels in 2026, with 81 million members tracked by the Health and Fitness Association. That membership base represents a substantial installed audience for connected equipment deployments. 81M US Gym Members: What the Record Really Signals examines what operators should do with that scale advantage before equipment manufacturers build the software layer directly into their commercial sales contracts.
The 18-to-24 Month Window That Actually Matters
Forecasts to 2035 are useful for strategic planning but dangerous for creating urgency. Here's the more actionable frame: the competitive structure of the fitness equipment market is likely to solidify within the next 18 to 24 months. The brands that establish data ecosystem positions during that window will be extremely difficult to displace. The brands that don't will find themselves locked into hardware commoditization with no clear path out.
What does that mean practically for brand decision-makers?
- Software investment is no longer optional. Whether that's proprietary development or strategic acquisition, brands without a credible AI personalization layer will lose share to those that have one. The cost of building now is significantly lower than the cost of catching up in 2028.
- Data licensing is an emerging revenue line. Anonymized training data from connected equipment has real value to health insurers, research institutions, and corporate wellness platforms. Brands with large connected user bases are sitting on an asset most haven't begun to monetize.
- Partnership selection is a strategic decision, not a procurement one. Integrating a third-party coaching or AI platform creates dependency. Brands need to evaluate not just the technology but the long-term terms of data ownership and platform control before signing.
- Manufacturing scale still matters, but differently. The companies that can produce connected hardware at scale with consistent software integration will have a cost advantage. But that advantage only compounds if the software layer is proprietary. OEM hardware with a licensed AI platform on top is a weaker position than it appears.
What the $22.5B Number Actually Means for Strategy
Market forecasts are most useful when you use them to identify who captures the value, not just that the value will exist. The $22.5 billion figure represents total market revenue. But the margin-rich portion of that market, the recurring software subscriptions, data licensing agreements, and premium AI coaching tiers, will disproportionately flow to brands that own the data relationship with the end user.
That's a different business than selling equipment. It requires different organizational capabilities, different technology investment, and a different conception of what the brand actually sells. The brands navigating this transition most successfully are treating their connected devices as the front end of a data platform, not as the product itself.
The parallel in coaching is instructive. Independent coaches who've built structured digital programs around proprietary methodology are far more defensible than those who simply provide session-by-session instruction. The structural logic is identical for equipment brands: own the system, not just the session.
The 2035 market won't reward the best machines. It will reward the brands that built the most compelling, sticky, and data-rich fitness ecosystems. The path there runs directly through software investment decisions that need to be made now, not when the forecast becomes a reality.