What do women do when they want to understand their health? Best case: they see a doctor who orders a blood test, taken once and interpreted against a population average. But that’s changing, and the pace of change in the last five years alone has been extraordinary.
That number, from Mira's 2026 survey of 1,200 American women, describes a demand that technology is finally beginning to meet. Not all the way, and not evenly—but the direction is unmistakable.
The technology gap women lived with for decades
Until recently, the tools for understanding hormonal health looked something like: a GP referral, a lab form, a blood draw on a specific day of your cycle, a result expressed as a single number measured against a reference range derived from a population that wasn't necessarily much like you. Then a phone call, or a letter, or a portal notification that said: within normal range.
For women experiencing symptoms that didn't align with that verdict, the next step was either another referral, or the internet.
- 73% of women in our survey said they turned to Google or ChatGPT for answers they couldn't get from a doctor.
- 77% felt overwhelmed or confused by conflicting information when they searched.
The gap between what women needed and what the clinical system could provide was a failure of tools. There simply wasn't a way—accessible, continuous, affordable—for a woman to track her own hormone patterns at home over time. Until there was.
What the FemTech revolution actually built
The FemTech market—technology built specifically for women's health—barely existed as a category 15 years ago.
By 2025, it was valued at over $8 billion globally, projected to nearly double to $19 billion by 2031, growing at over 14% annually. Silicon Valley Bank tracked $2.6 billion in women's health funding in 2024 alone. This is a significant shift from an era when only 4% of biopharma R&D addressed female-specific conditions.
The tools that have emerged from that investment span a wide range of what women actually need:
Cycle tracking apps moved the starting line. For the first time, tens of millions of women had a way to log symptoms, identify patterns, and build a longitudinal picture of their cycle with data. The limitations are real: most apps track self-reported symptoms and predict based on averages rather than measuring what's actually happening hormonally. But they established something important: women would engage deeply with health data about their own bodies if it was given to them in an accessible format.
Wearable biosensors extended the picture into physiology. Devices tracking temperature, heart rate variability, sleep, and readiness began to reveal connections between how women felt and what their bodies were doing. Several have moved toward cycle-specific insights, detecting temperature shifts associated with ovulation or flagging sleep disruption in the luteal phase.
At-home hormone testing brought quantitative data out of the lab and into everyday life. Rather than a single clinical snapshot, women could now test continuously, across their cycle, over months—building a personal baseline rather than a one-time comparison to a population average. This shift from qualitative (how do you feel?) to quantitative (what are your actual hormone levels?) is arguably the most significant development in accessible women's health technology to date. FDA clearances for at-home hormone monitors have opened a category that simply didn't exist for consumers a decade ago.
Telehealth platforms for women's health specializing in menopause, fertility, PCOS, and hormone health removed the barrier of geography and appointment availability—making specialist care accessible to women who previously had limited or no access.
AI-driven symptom analysis and predictive health tools are emerging as the next layer, moving from tracking what happened to anticipating what's coming, and surfacing patterns that individual users might not notice across large datasets. Searches for "predictive health" have risen 964% from 2022–2023 averages, a signal of where user expectation is heading.
Integrated data platforms are beginning to connect these layers, bringing hormone data, biometric data, sleep, and nutrition into a single picture of how a woman's body functions across her cycle. The recognition that these systems are not separate, but deeply interconnected, is a relatively recent arrival in mainstream health technology.
By 2026, the global femtech market is projected to reach $75 billion, with three defining shifts underway: AI-powered diagnostics, clinical-grade wearables, and unified data platforms. The tools are catching up to the question.
From tools to understanding
What all of this builds toward, and what women have always been asking for, is not more data for its own sake. It's understanding, and the ability to look at information about their own body and know what it means for them specifically.
This is the distinction that matters most. A cycle tracking app that predicts ovulation based on the average of all its users is giving you population data with your name on it. A tool that measures your actual hormone levels, builds your personal baseline over time, and flags deviations from your normal—not the average—is giving you something categorically different.
That distinction is what Mira was built around.
Mira's Hormone Monitor measures LH, estrogen metabolite (E3G), progesterone metabolite (PdG), and FSH directly from urine—quantitatively, at home, daily. It doesn't predict based on cycle averages. It measures what's actually happening in your body and builds a picture of your own patterns across time. Used by over 300,000 women and 50+ research institutions, it sits at the intersection of clinical-grade accuracy and consumer accessibility—a combination that, until recently, simply didn't exist.
For Rumer Willis, the shift was specific and personal. When she started tracking, she finally understood her longer-than-average cycle—not as something wrong, but as simply hers. She could see the impact of lifestyle and supplement changes on her hormone patterns in real time. She approached her fertility at 37 not with the anxiety most women are handed by a system built around averages and declining clocks, but with actual data about her own body. 
The horizon: technology closing the gap the system left
The tools available to women in 2026 are not the end point. They're a beginning. In February 2026, Mira announced an integration with the Oura ring, bringing hormone data and biometric data (sleep, readiness, temperature) into a single view for the first time—making the connection between how a woman's hormones shift and how she feels, functions, and recovers day to day visible and trackable.
Continuous glucose monitors are beginning to be used as fertility and cycle optimization tools, as the link between insulin resistance and hormonal health becomes better understood. AI diagnostic layers are being built that will eventually anticipate hormonal shifts before they become symptomatic.
None of this means the clinical system is off the hook. Technology fills gaps, but it doesn't replace care. But for the 73% of women who couldn't get the answers they needed from a doctor, and the 77% who felt overwhelmed navigating conflicting information alone, the tools that exist today are already changing what's possible.
The question was always answerable. Now you have the tools.
The technology in this article is the instrument panel, the thing that turns is this normal? from a question you search at 2am into something you can actually answer about yourself, with data, over time.
84% of women said that once they found clearer answers about their health, they felt relieved, validated, and more in control.
They finally understood what was happening. Technology, at its best, is what makes that understanding accessible—not just to the women who happen to have the right doctor, or the right insurance, or the right ZIP code, but to everyone who keeps asking.
Mira is one part of that picture. The data is yours, the baseline is yours, and the patterns, over time, are yours. No population average can tell you what yours looks like.
