Inside the $97B Femtech Boom: How Spike Is Enabling AI-Powered Women’s Health Innovation

November 27, 2025

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Table of contents

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Key Takeaways

In the upcoming years, the femtech industry is shifting from basic period tracking to AI-powered health platforms that provide personalized insights
Spike Wearables API enables access to 500+ devices through a single integration, allowing developers to focus on innovation rather than building and maintaining integrations
Spike MCP connects wearable data directly to the LLM of choice, enabling developers to build intelligent women’s health coaches that provide personalized recommendations based on hormonal cycles, sleep patterns, and activity levels.
Spike maintains HIPAA and GDPR standards with European data centers across its wearables integration and MCP layer

Artificial intelligence, wearable integration, and personalized insights are transforming the femtech industry and enabling more sophisticated solutions in women’s health apps. The global femtech market is projected to reach $97.25 billion by 2030, with the U.S dominating the market revenue share.

The biggest trends that started in late 2025 and continue growing include deeper AI-powered health predictions, seamless wearable data integration through platforms like Spike Wearables API, and personalized wellness insights that go beyond basic period tracking to deliver holistic health advice with the hormonal cycle in mind.

AI-powered health analytics

Modern femtech platforms are leveraging AI to predict fertility windows, hormonal fluctuations, and to provide personalized insights that adapt to each user's unique biological patterns, rather than just offering basic period tracking.

Model Context Protocol (MCP) enables connecting multiple user data sources to LLMs and transforms the raw data into personalized health insights, contextual AI chatbots, and makes well-informed predictions.

Spike MCP eliminates the engineering complexity of building custom data pipelines to connect data from wearables and symptoms users track to LLMs. Femtech developers using Spike can build intelligent chatbots that understand user context, generate automated health summaries, and deliver predictive recommendations in days, while maintaining HIPAA and GDPR compliance and healthcare-grade security.

These AI features can identify correlations between sleep quality, activity levels, and menstrual cycle phases that would be impossible to detect manually. Data from wearable devices can also be connected to Nutrition AI and Lab Reports API to have a 360 health view, increasing your app’s proposition value and user engagement.

Wearables integration

Women's health apps need wearable integration to track sleep patterns, heart rate variability, body temperature deviation, activity levels, and other physiological markers that are influenced by and influence the hormonal cycles and fertility windows.

Building custom integrations for each device manufacturer requires extensive engineering resources; hence, most femtech apps offer only 2-3 device connections or rely exclusively on Health Connect and HealthKit, which limits their market reach and device coverage. Yet, the global wearable technology market is reaching $84.2 billion in 2024, and users expect their apps to work with whichever device they already own.

Spike Wearables API solves this with a single integration that provides access to 500+ wearable and IoT devices, including Fitbit, Garmin, Oura Ring, Whoop, Apple Watch, and others. Developers get data in both raw and normalized formats with historical backfills and event deduplication, removing months of engineering work and future maintenance.

Personalized health insights

Modern apps analyze wearable data to detect subtle physiological changes throughout the menstrual cycle, providing insights into how hormones affect sleep, energy, mood, and physical performance, moving from basic period tracking to intelligent health monitoring.

After integrating the Spike Wearables API, Moody Month transformed its hormonal health tracking features by turning them into a more accurate picture of its users’ health, increasing engagement, and strengthening its position in the women’s health and wellness app market.

Combining wearables integration with MCP gives your users personalized guidance on optimal workout timing, nutrition adjustments, and stress management strategies based on their current hormonal state rather than generalized cycle day estimates.

Data security and compliance in AI-powered femtech

Spike’s infrastructure is fully HIPAA-compliant and adheres to GDPR standards, ensuring that all wearable data and MCP meet healthcare-grade security requirements. This compliance framework enables developers to focus on building innovative features rather than navigating complex regulatory requirements, while encryption protects user data throughout the entire pipeline from device to AI-powered insight.

Build the future of women's health technology

Women’s health apps that combine wearables integration, AI-powered analytics, and personalized health insights deliver significantly better user experience and set themselves as leaders in the field. Spike Wearables API and Spike MCP provide the infrastructure to build these femtech solutions without the typical engineering burden of building and maintaining device integrations and making the data usable for LLMs.

Book a demo to see how Spike can accelerate your development timeline and enhance your user experience.

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FAQs

What is femtech, and why is it growing so rapidly?

Femtech refers to technology products and services focused on women's health needs, including menstrual tracking, fertility monitoring, pregnancy care, and menopause management. The market is growing rapidly because of increasing awareness of women's health issues, technological advancements in wearables and AI, and growing demand for personalized healthcare solutions.

How does wearable integration improve femtech apps?

Wearable integration transforms femtech apps from manual tracking tools into intelligent health platforms by providing measurable biometric data. Sleep patterns, heart rate variability, body temperature deviation, and activity levels all correlate with hormonal cycles and fertility windows. This data enables more accurate predictions, personalized insights, and proactive health recommendations that wouldn't be possible with user-reported data alone.

What is the pricing of Spike Wearables API?

Spike Wearables API pricing is based on active users with no hidden costs.

How accurate are AI predictions for fertility and cycle tracking?

AI prediction accuracy in femtech apps depends on the quality and quantity of data available. Apps that integrate objective wearable data (temperature, heart rate, sleep) alongside manual tracking typically achieve higher accuracy than apps relying solely on user-reported information.

Is my health data secure with wearables integration and AI features?

Spike offers HIPAA and GDPR compliant wearables integration and an MCP layer with European data centers.

How long does it take to integrate the Spike Wearables API into a femtech app?

Most developers integrate the Spike Wearables API within days, as we provide detailed documentation and assign a dedicated implementation engineer to help with the initial integration.