Contributing expert: Karl Sandberg,
Director of Delivery at Coherent Solutions
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Interactive fitness market: $5.73B in 2024 → $6.22B in 2025 → $13B by 2034 (CAGR ~8.6%)
Global Growth Insights -
Virtual & online fitness market: $3.98B in 2024 → $4.90B in 2025 → $25.9B by 2033 (CAGR ~23.1%)
Global Growth Insights
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Gamification in fitness: AI-powered platforms $2.14B in 2024 → $16.08 by 2033 (CAGR ~24.1%)
DataIntelo
- Wearables adoption: 50% of consumers purchased fitness wearables in 2024; wearables now dominate tracking with 70%+ share
Business Insider, PatentPC
Ten years ago, gyms looked the same everywhere: rows of treadmills, repetitive workouts, and people simply pushing through their grind. Exercise was more about routine than results, consistent, but uninspiring.
Today, fitness is undergoing a smart transformation. People expect personalization, real-time feedback, and engaging experiences. AI-powered coaching adjusts on the fly, biometric data enables smarter, safer training, and gamified platforms turn workouts into something people actually want to return to.
Treadmills and similar equipment aren't obsolete, but they’re no longer the center of the experience. The real value now lies in the connected ecosystem around the user, where data, AI, and digital experiences converge.
At Coherent Solutions, we see this shift firsthand. We're helping fitness brands build adaptive, data-driven platforms that keep users engaged and progressing, not just moving.
We call it the Future of Fitness.
The shift: From hardware to digital ecosystems
Gyms were once built around hardware dominance: lines of treadmills, ellipticals, and weight machines stood at attention, each doing the same stationary task day after day. And while those machines still have their use, their cultural weight is fading.
Instead, the future of fitness is a move toward connected ecosystems, networks of virtual platforms, wearables, and apps that do far more than track movement.
Modern platforms integrate IoT-enabled devices, from Apple Watch’s ECG sensors and Garmin’s VO₂ max tracking to Whoop’s HRV (Heart Rate Variability) analysis, transmitting biometric data via Bluetooth LE and Wi-Fi. These ecosystems rely on IoT-enabled devices, Bluetooth and Wi-Fi integrations, and cloud-based APIs that aggregate real-time biometric data from multiple sensors.
Subscription offerings like Peloton and Apple Fitness+ aren't selling workouts; they're selling membership in a virtual lifestyle.
At Coherent Solutions, we’ve helped fitness platforms follow a similar path: transforming a simple workout app into a connected ecosystem with wearables, cloud APIs, and social community features that keep users engaged well beyond the treadmill.
This shift reflects a profound cultural change: the user experience that was once defined by the gym and its hardware has now been transferred to software and data. The treadmill was the centerpiece; now it's the digital ecosystem that surrounds you, your watch, your app, your AI coach that delivers digital value.
In this model, the machine itself fades into the background. APIs like Strava’s open integration layer or Apple HealthKit allow cross-platform data syncing, while cloud analytics platforms process terabytes of workout telemetry in real time. Some systems even use computer vision, like Tempo and Tonal, to analyze form through cameras and give AI-powered corrective feedback. This intelligence transforms fitness from a physical pursuit into a rich, interactive experience.
AI-based coaching: The smart trainer that won't leave you alone
One-on-one personal coaching used to be a luxury, something that only athletes or people who had money for personal trainers could afford. Artificial intelligence is changing that story. Tempo and Freeletics are applications that now bring the expertise of a professional coach into your living room, not based on intuition but on data and real-time feedback.
With motion tracking, computer vision, and behavioral learning, these systems can correct your form, modulate intensity, and dynamically adjust your workouts in the same way a personal trainer would.
Computer vision models (PoseNet, OpenPose) map skeletal points from camera feeds, while accelerometer and gyroscope data from wearables provide kinetic feedback for precision. But AI goes one step further: it's not simply responding to what happens within a workout; it's integrated with the remainder of your life.
Neural networks ingest recovery data, HRV trends, and sleep scores to generate predictive training loads, similar to how athlete monitoring systems like Catapult or SAP Sports One work in professional sports. Our team worked with a fitness franchise to implement AI-driven personalization, where motion tracking and recovery data informed real-time training adjustments. The results weren’t just better performance metrics, they were higher retention and stronger member loyalty.
What do users get? Personalized, intelligent, and adaptive fitness. Unlike the treadmill, which requires you to adjust to its speed, AI coaching adapts to your pace. Fitness, for the first time, is something that feels like it's yours.
Biometric tracking: Fitness as self-science
If AI coaches are the brains of modern fitness, then biometric trackers are the senses. Devices like WHOOP, Oura Ring, and the Apple Watch have turned working out into measurable science, putting data that was once exclusive to elite sports labs into the hands of the average user. Photoplethysmography (PPG) sensors capture heart rate, optical SpO₂ sensors track blood oxygen, and temperature micro-sensors deliver circadian rhythm insights. Sleep cycles, heart rate variability, recovery scores, and stress levels aren't vague feelings anymore; they're complex numbers on your wrist.
This shift transforms training from guesswork to strategy. Instead of wondering, "Am I too fatigued to train today," athletes at every level can look at evidence-based direction: when to push harder, when to back off, and how to align effort with their body's rhythms. APIs like Apple HealthKit and Google Fit unify this sensor data, while cloud-based analytics apply pattern recognition to detect overtraining or illness risks.
Here, your body is a lab that you can test and tune, using data to make decisions and evidence-based progress, rather than just a gut feeling.
Gamified experiences: Exercising should be enjoyable
Despite smart coaches and hi-tech trackers, one obstacle remains: consistency. And that's where gamification comes in, transforming the psychology of fitness.
Websites like Zwift turn solo cycling into multiplayer racing via virtual worlds, and VR apps like FitXR turn cardio into something closer to fun than exhaustion. Zwift uses ANT+ and Bluetooth Smart protocols to sync bike trainers and power meters with its cloud servers, rendering resistance dynamically based on virtual terrain, while VR engines like Unity and Unreal deliver immersive, responsive workout environments.
Corporate wellness programs have soared, using gamified challenges, steps, streaks, and team competitions to engage workers. The power is not just in numbers but in human psychology: competition, achievement, and community. Leaderboards and reward loops are powered by gamification engines (e.g., Badgeville, Bunchball) that integrate via APIs into HR wellness platforms.
Suddenly, workouts aren't a box to tick off but a game to beat, a challenge to make friends with, or an experience to try. It's this emotional layer that gets people stoked to return again and again. Fitness no longer feels like a chore and starts to feel like fun.
Integration, or building the fitness ecosystem of tomorrow
The true power of modern fitness tech lies in integration.
AI workouts, biometric tracking, and gamification are most effective not as discrete tools, but when they operate in concert with one another. Data interoperability standards like FHIR (Fast Healthcare Interoperability Resources) and APIs from platforms such as Strava or Garmin Connect enable cross-device syncing, while cloud orchestration platforms aggregate telemetry for real-time adaptation. Wearable feedback fuels AI algorithms that adjust workouts in real time, while gamified platforms add emotional incentives, streaks, rewards, and social praise. The result is a continuous feedback loop: adaptive, engaging, and sustainable.
At Coherent Solutions, we typically design cloud-based orchestration layers that unify wearables, AI-driven coaching, and gamification engines into a single, seamless digital experience. This approach gives our clients the flexibility to scale their platforms and innovate freely, without being locked into a single vendor ecosystem.
Gyms of the future will be quite different. They will not just have machines, but they will be digital health hubs, with smart equipment, personal data, and social features combined into a single ecosystem. Connected strength machines (e.g., Tonal, EGYM) already feature embedded sensors and Wi-Fi connectivity, transmitting performance data directly into user profiles. Workouts will not be isolated activities; they will be part of an interactive, connected experience, customized to each individual and integrated into their general lifestyle.
What does the future of fitness mean for industry business models?
For manufacturers and gym operators, this shift demands a fundamental change: reorienting from hardware-focused products to software-driven, experience-based solutions. Revenue streams will increasingly rely on SaaS models, subscription APIs, and data monetization rather than one-time equipment sales or location-specific memberships. Gyms are becoming technology-enabled wellness hubs, where growth and value lie in data, coaching, and engagement, not just physical hardware and floorplans.
For consumers, the benefits are clear: smarter training, personalized feedback, and a sense of agency over one's own wellness journey. For health systems, the implications are even more profound. Fitness technology can contribute to preventive care, reduce the risk of injury, and enable long-term wellness, bridging the gap between exercise and clinical outcomes. Integration with electronic health records (EHRs) and remote patient monitoring (RPM) systems could position fitness data as a legitimate part of preventive medicine.
What’s next in fitness?
The treadmill belongs to yesterday’s fitness story: repetitive, uniform, and uninspiring. Taking its place are AI coaches that adapt to you, wearables that turn your body into a source of insight, and gamified platforms that make the whole process enjoyable. Fitness is no longer something you have to force into your day; it flows naturally, guided by data, supported by technology, and energized by community.
Frequently asked questions - Future of fitness industry
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AI-powered platforms provide real-time coaching, form correction, and personalized training based on data, making workouts more adaptive and effective.
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Wearables like Apple Watch, WHOOP, and Oura Ring track heart rate, sleep, and recovery, turning workouts into data-driven, evidence-based experiences.
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Gamification motivates consistency by turning exercise into engaging challenges, competitions, and rewards, making workouts more enjoyable.
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A connected ecosystem integrates AI, wearables, apps, and cloud-based platforms to deliver seamless, personalized fitness experiences.
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Fitness brands and gyms can shift to SaaS, subscription APIs, and digital platforms, generating recurring revenue through personalized coaching and data-driven services.