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The demand for AI-driven pregnancy apps is growing rapidly, with an increasing number of expectant mothers seeking personalized support to navigate their pregnancy journeys. These apps are transforming prenatal care by offering real-time insights, personalized health advice, and progress tracking, all designed to help both mothers and babies stay healthy throughout pregnancy.
Did you know that Ovia Health is trusted by one in three first-time mothers in the U.S.? Here’s what makes this app so popular among expectant parents:
- Personalized nutrition plans tailored to the user’s real-time bloodwork.
- Early detection of gestational diabetes using data from wearables.
- 24/7 chatbot support, answering over 10,000 medical questions from users.
But why does this matter?
A 2023 AMA report found that 78% of OB-GYNs recommend pregnancy apps to their patients, recognizing the value they bring in personalizing care. AI-powered apps also see 3x higher user retention than basic tracking apps, highlighting their importance in building long-term user engagement.
In this blog, we’ll discuss all the essential steps to develop an AI app like Ovia Health, as we have extensive experience in building similar AI FemTech applications. Our hands-on experience and in-depth understanding of the challenges faced by expectant mothers make IdeaUsher the ideal partner to guide you through this process. Let’s get started!
Overview of OviaHealth
Ovia Health is a digital health platform that supports women and families through their fertility, pregnancy, and parenting journeys. The Ovia Pregnancy Tracker app, launched in 2016, helps expectant mothers monitor their pregnancy with personalized and evidence-based information. The app is widely used for its ability to provide tailored insights and useful tools throughout the pregnancy process.
Personalized Tracking and Insight
Ovia uses AI-powered algorithms to give users daily updates and personalized recommendations based on their pregnancy due date or conception date. The app provides a customized dashboard with helpful features such as a countdown to the due date, weight tracking, symptom logs, and daily tips.
Comprehensive Tracking Tools
- Symptom Tracker: Users can track various symptoms, including fatigue, nausea, and mood swings, helping them monitor their health throughout pregnancy.
- Fetal Growth Monitoring: The app tracks the baby’s development milestones, offering features like kick counts and contraction timing. Weekly illustrations show the baby’s growth.
- Health Logging: Expectant mothers can log weight, sleep, nutrition, physical activity, and mood changes, giving a comprehensive view of their health.
Calendar and Scheduling
Ovia’s color-coded calendar helps users track prenatal appointments, milestones, and personal notes. This feature makes it simple to stay on top of important events during pregnancy.
Community and Suppor
The app provides a supportive online community where expectant mothers can connect, share experiences, and ask questions. Community-driven content, along with expert articles, offer valuable guidance throughout the pregnancy journey.
Safety and Health Resources
Ovia includes tools for looking up food and medication safety, helping users make informed decisions about what is safe during pregnancy. It also offers access to over 2,000 expert articles on topics such as fertility, conception, postpartum recovery, and reproductive health.
Integration and Alert
Ovia can sync with wearable devices like Fitbit, allowing users to track vital health metrics in real-time. It also provides alerts and feedback to help manage symptoms and ensure that users are prepared for doctor visits.
The Best Time to Invest in Developing an AI Pregnancy App
According to MarketResearchFuture, the Pregnancy Tracker Apps industry is on track for significant growth, expected to rise from $0.31 billion in 2024 to $0.54 billion by 2032, with a CAGR of around 7.20%. This growth highlights how expectant parents are increasingly turning to digital health solutions, particularly those driven by AI, to manage their pregnancy journey with more personalized care.
Source: MarketResearchFuture
AI-powered pregnancy apps are gaining traction due to their ability to offer personalized support and real-time guidance. Over half of pregnant women now use these apps, with many benefiting from AI-driven features such as custom diet plans, exercise routines, and chat-based support.
For instance, the AI Pregnancy Companion helps users with nutrition planning and exercise demonstrations, while BabytalkGPT provides personalized, on-demand answers to pregnancy-related questions, adjusting to user preferences over time.
Strategic partnerships are further driving innovation in the AI pregnancy app space. A key example is the collaboration between Window to the Womb, a leading UK baby scan service, and BlueSkeye AI. Together, they launched the Avocado app, which combines digital scan images with AI-driven tools for mood management, offering pregnant women a more holistic approach to their mental well-being and demonstrating the power of partnerships in expanding AI’s role in maternal health.
Investing in the development of an AI pregnancy app is a smart move as the maternal health app market continues to grow.
Apps like Flo and Glow are perfect examples of the potential in this market. Flo, an AI-powered app for period and pregnancy tracking, generated over $50 million in revenue in 2024. Similarly, Glow saw around $40 million in revenue last year.
These apps demonstrate the financial success that comes with offering users a highly personalized and intuitive experience powered by AI, making them valuable assets in the digital health space.
Business Model of the OviaHealth App
Ovia Health operates a diversified, data-driven business model focused on digital solutions for maternal and family health. The company’s core approach is to provide personalized support through its mobile apps, while generating revenue from multiple streams and leveraging strategic partnerships to expand its reach.
Employer and Health Plan Subscriptions
Ovia Health’s primary source of revenue comes from subscription fees paid by employers and health plans offering Ovia Health as a benefit to employees or members. In 2024, 75% of covered lives had access to Ovia through these partnerships. T
his model contributed significantly to Ovia’s revenue, which reached $50 million in 2024 and is projected to grow to $100 million in 2023.
In-App Purchases
Ovia also generates revenue through in-app purchases, offering premium features and personalized content directly to consumers. This complements their B2B revenue. The health app market has seen a 15% increase in in-app purchase revenue in 2024, with the overall market reaching $4.8 billion.
Partnerships & Sponsorships
Ovia collaborates with various brands and hosts sponsored content within the app, adding another revenue stream. The digital health market for such partnerships was valued at $365 billion in 2024, showing the growing potential for these collaborations.
Benefits Administration Fee
Ovia charges fees for administering fertility and family-building benefits, typically as a percentage of the benefits spent or per member per month. The benefits administration market was valued at $28.5 billion in 2024, making this an important revenue source for Ovia Health.
Advertising
Historically, Ovia has generated revenue through native advertising within its platform. These ads are targeted to the app’s user base, providing an additional revenue stream while maintaining the user experience.
Product Sales
Ovia also generates revenue through the sale of maternity, baby care, and wellness products via its platform, offering a convenient shopping experience for its users.
User Base and Market Reach
In 2024, Ovia Health supported 15 million users across its suite of apps: Ovia Fertility, Ovia Pregnancy, and Ovia Parenting. The apps serve as the main channel for user acquisition. Website engagement grew by 20% in 2024, helping Ovia expand both its user base and its reach to potential partners.
Financial Performance
Ovia Health reported $50 million in revenue for 2024, with projections to reach $100 million in 2023. This growth reflects Ovia’s expanding user base and the effectiveness of its diverse revenue streams.
Ovia Health’s business model, which combines B2B partnerships with direct consumer purchases, data monetization, and product sales, positions the company to continue growing in the digital health space. Its ability to scale while providing valuable services makes it a leader in the maternal and family health sector.
Features We Add in An AI Pregnancy App Like Ovia Health
After developing many pregnancy and wellness apps, we’ve gained a deep understanding of what features truly resonate with users. From tracking milestones to providing emotional support, we’ve identified the key features that make pregnancy apps both functional and supportive. Here are the features that generated the most positive feedback from users.
1. Personalized Pregnancy Timeline
One feature that always stands out is the personalized pregnancy timeline. By simply entering the due date or last period date, users can receive a tailored weekly timeline that tracks their baby’s development and what to expect each week. This feature helps users stay informed and engaged, making it easy to follow their pregnancy progress.
2. Ovulation and Fertility Tracking
Fertility tracking is another essential feature that many users appreciate. With AI predicting the most fertile windows based on inputs like menstrual cycle and temperature, this feature is invaluable for users trying to conceive. It provides accurate, data-driven predictions that improve their chances of success.
3. Health Monitoring
Health monitoring is one of the most appreciated features in pregnancy apps. By tracking metrics such as weight, blood pressure, and blood sugar, users can ensure they’re staying on top of their health. The app uses this data to offer targeted advice, helping users manage their pregnancy with greater confidence.
4. Baby Growth Tracker
The baby growth tracker is a fan favorite. Users can see visual representations of their baby’s size, along with key developmental milestones. This feature helps users feel more connected to their baby and provides a clear picture of their baby’s growth over time.
5. Diet and Nutrition Guidance
AI-driven diet and nutrition advice is another popular feature. Users can log their meals, and the app will offer personalized guidance on what foods are best for their stage of pregnancy. This feature makes it easy for users to maintain a healthy diet and ensures they’re getting the right nutrients.
6. Exercise and Fitness Tracker
Exercise tracking is crucial for expectant mothers, and this feature has been a hit. Whether users are walking, doing yoga, or swimming, the app offers pregnancy-safe exercise recommendations based on the user’s trimester and fitness level, keeping them active and healthy throughout their pregnancy.
7. Mental Health and Mood Tracker
Given the emotional rollercoaster of pregnancy, mental health and mood tracking is highly valued. Users can log their mood, and the app provides personalized insights, including mindfulness techniques and stress-relief exercises. It ensures users feel supported emotionally, which is a key aspect of pregnancy care.
8. Personalized Reminders and Alerts
Reminders are a huge help for busy users, and personalized alerts for tasks like doctor appointments, medication, and prenatal vitamins have been a favorite feature. The app makes it easy for users to stay on track with their health routine, offering gentle nudges when necessary.
9. Contraction Timer and Labor Tracker
As users approach labor, the contraction timer becomes indispensable. It tracks the timing and intensity of contractions, helping users understand when they should go to the hospital. This feature provides a sense of preparedness, making users feel more in control as they near delivery.
10. In-App Medical Advice and Chatbots
AI-powered chatbots are increasingly valuable for users seeking quick answers to their questions. These bots can provide personalized medical insights and even connect users with healthcare providers for further consultation, offering instant support when needed.
11. Customized Birth Plan Generator
A birth plan generator is another standout feature. The app helps users create a personalized birth plan by offering recommendations based on their medical history and preferences. It ensures that users feel empowered and prepared for the delivery process.
12. Postpartum Care Tracker
Postpartum care tracking is crucial for new mothers, and it’s a feature that users appreciate. By tracking aspects like breastfeeding, recovery, and emotional health, the app provides essential support as users adjust to life with a newborn.
Development Steps for an AI Pregnancy App like Ovia Health
We specialize in creating AI-powered pregnancy apps that are both user-friendly and data-driven. Our goal is to deliver personalized health insights that truly make a difference in the lives of expecting parents. Here’s an overview of how we develop an AI app like Ovia Health,
1. Requirement Gathering & Research
We start by understanding the core features needed in the app, such as tracking symptoms, predicting fertility windows, and offering personalized health advice. This is followed by in-depth research to define the user personas, whether they’re trying to conceive, pregnant, or postpartum. We also analyze competitors like Ovia to identify gaps in the market and ways to enhance the user experience.
2. Feature Planning & AI Scope Definition
Once we’ve identified the must-have features, we work with clients to define how AI will enhance these functionalities. AI can personalize recommendations, predict health patterns, and analyze symptoms to provide insights. We also integrate third-party data sources, like hormone level tracking, to make the app more accurate and holistic.
3. Frontend Development
Our front-end development ensures the app is responsive across all devices and screen sizes. We create interactive features, such as symptom logs and progress trackers, with smooth transitions and real-time syncing. This guarantees a seamless user experience that keeps users engaged and informed throughout their journey.
4. Backend Development
When we develop an AI app like Ovia Health, we design a robust, scalable backend capable of handling growing user data and traffic. Secure databases are used to manage sensitive health information, ensuring user data is always protected. The backend is also optimized to host and serve AI models, enabling real-time predictions and health insights to be delivered instantly.
5. Data Collection & Privacy Compliance
Accurate data collection is crucial for providing valuable insights. We ensure that the app complies with privacy regulations, like HIPAA and GDPR, protecting user data. Our approach includes transparent consent management, allowing users to control what data is shared and ensuring all health data is stored securely.
6. AI Algorithm & Machine Learning Model Development
The AI algorithms we develop predict important aspects like ovulation cycles, pregnancy stages, and potential complications. We also integrate NLP (Natural Language Processing) so users can track symptoms through voice input or a chatbot, making the experience more engaging and efficient. The AI models learn from ongoing user data, becoming more accurate over time.
7. UI/UX Design
We focus on creating an intuitive and easy-to-navigate interface. The design is user-centered, ensuring that users at different stages of pregnancy can interact with the app without confusion. We also add calming visuals and features that foster emotional support, ensuring that the app feels comforting and encouraging throughout the user’s journey.
8. App Development & Front-End Integration
We choose the best development approach based on client needs, whether native development for iOS and Android or a cross-platform solution like React Native. Real-time syncing of health data from wearables is key, ensuring that users receive up-to-date insights. Our front-end integration ensures seamless connectivity with third-party services like Apple Health and Google Fit.
9. AI Health Insights & Personalization Engine
Our AI engine offers personalized health tips, symptom predictions, and actionable advice based on the data users provide. We use visual progress tracking, such as 3D models and charts, so users can easily see how their health and pregnancy are progressing, making the app feel more interactive and engaging.
10. Testing & Debugging
Before we release the app, we perform rigorous usability and performance testing to ensure it works smoothly on all devices. Our testing process includes AI validation to ensure that predictions and recommendations are accurate. This ensures a flawless user experience and trustworthy health insights.
11. Integration with Health Providers & Medical Experts
We integrate telemedicine features that allow users to consult healthcare providers directly within the app. By working with medical experts, we validate the app’s health recommendations to ensure they align with current medical standards. We also make it easy for users to share their data securely with doctors for personalized care.
12. Launch & App Store Optimization
After gathering feedback through a soft launch, we optimize the app for app stores. We focus on ASO to improve visibility using relevant keywords and compelling descriptions. To drive user acquisition, we create marketing strategies involving social media campaigns and partnerships with influencers in the health and wellness space.
Cost of Developing an AI Pregnancy App like Ovia Health
To develop an AI app like Ovia Health, it’s essential to carefully plan each stage, from design to deployment. This ensures the app is not only user-friendly but also effective in providing personalized support, meeting both technical and healthcare requirements.
Here’s a breakdown of the key cost components involved in developing such an app.
| Budget Tier | Scope | Key Features | AI Integration Level |
| $10,000 – $30,000 | Basic MVP | – Pregnancy tracker (due date, weekly updates)- Symptom logger- Basic reminders | Rule-based logic (no machine learning) |
| $30,000 – $60,000 | Enhanced MVP | – Curated health content- Weight tracker- Basic chatbot with rule-based responses | Basic ML (content recommendations, trends) |
| $60,000 – $100,000 | Near-Ovia Level | – Photo journal- Community forum (third-party integration)- Smart chatbot (basic NLP) | Hybrid (pre-trained models + custom logic) |
| $150,000+ | Full-scale, Ovia-complexity app | – Advanced insights- HIPAA compliance- Clinical integrations | Deep learning, NLP, predictive analytics |
Note: Costs assume Flutter or React Native development and India-based teams. U.S./EU costs are typically 3–5x higher.
Phase-Wise Cost Breakdown
| Phase | Key Activities | Cost Range (India) | Cost-Saving Tips |
| Research & Planning | Market analysis, documentation, compliance overview | $1,500 – $8,000 | Use tools like Google Trends & analyze top-rated apps |
| UI/UX Design | Wireframes, UI mockups, prototype testing | $2,500 – $15,000 | Leverage design kits (Material UI, Apple Health templates) |
| Backend Development | API setup, database, user auth, AI logic | $3,000 – $25,000 | Use Firebase or AWS Amplify for plug-and-play setup |
| Frontend Development | iOS + Android app via cross-platform frameworks | $4,000 – $40,000 | Focus on MVP screens and logic |
| App Features | Core features: tracker, reminders, logs, content | $7,000 – $30,000 | License curated health content rather than create from scratch |
| Testing & QA | Functional, UI/UX, security, and content validation | $1,500 – $10,000 | Crowdsource early user testing and feedback |
| Deployment | App store listing, basic marketing | $500 – $5,000 | Use store listing templates and pre-made visuals |
Cost of Key AI Features (Prioritization Guide)
| Feature | Description | Cost Range (India) | Budget-Friendly Alternative |
| Rule-Based Advice Engine | If-then logic to give pregnancy tips | $1,000 – $5,000 | Use open-source decision tree libraries |
| Basic ML Recommendations | Article/content suggestions based on behavior | $2,000 – $8,000 | Firebase ML Kit, collaborative filtering |
| NLP Chatbot (Basic) | Pre-defined chatbot with scripted flows | $1,500 – $6,000 | Dialogflow or other low-code chatbot tools |
| Advanced NLP Chatbot | AI chatbot for dynamic, human-like conversations | $15,000 – $50,000+ | Not feasible within $100K – Phase 2+ |
| Predictive Analytics | Predicts ovulation patterns, complications, etc. | $20,000+ | Requires large datasets, plan for post-MVP |
Ongoing Costs Post-Launch
| Expense | Annual Cost (India) | Notes |
| Server Hosting | $240 – $1,200 | AWS/Firebase – scales with user base |
| Maintenance & Updates | 15–20% of dev cost | Covers OS updates, bug fixes, and minor improvements |
| Medical Content Review | $1,000 – $5,000 | Required for accuracy, compliance, and regular content updates |
| Marketing | Variable | Organic channels (ASO, SEO, social media) recommended |
Total Estimated Cost: $10,000 – $100,000
Please note that the cost breakdown provided is an estimate and can vary depending on the specific features, functionality, and development team involved. When you develop an AI app like Ovia Health, customizations, and additional requirements can influence the final cost, which may range from $10,000 to $100,000.
Factors Affecting the Cost of Developing an AI Pregnancy App like Ovia Health
Building an AI pregnancy app like Ovia Health comes with several cost-driving factors. In addition to the usual development considerations like team location and platform choice, pregnancy apps have unique elements related to healthcare and AI that increase the overall cost.
Medical Content & Validation
Every health-related insight or recommendation in a pregnancy app needs to be medically accurate. This means working with healthcare professionals like OB/GYNs and nutritionists to ensure the content is trustworthy. The more tailored and in-depth the content, the more it will cost, with ongoing expenses for content updates.
Regulatory Compliance & Data Security
Handling sensitive health data, such as pregnancy-related information, requires strict compliance with privacy laws like HIPAA in the U.S. or GDPR in Europe. This includes implementing encryption, secure authentication, and regular security audits. These necessary measures ensure the app’s integrity, but they also add to the development cost.
Data Volume & Quality for AI Training
For AI models to make accurate predictions and recommendations, they need high-quality data. Collecting, cleaning, and labeling relevant pregnancy data can be expensive, especially when no pre-existing datasets are available. This process is crucial for building effective and reliable AI systems.
Integrations with Third-Party Health Services/Wearables
Integrating with third-party services, such as electronic health records or wearable devices like Fitbit and Apple Watch, requires additional work. It involves developing APIs, syncing data, and possibly paying for licensing fees, which adds complexity and cost to the project.
Must-Have Tech Integrations for AI Pregnancy Apps
Using the latest technology gives your app a competitive edge by providing real-time, personalized insights. This enhances user experience and ensures better healthcare outcomes. At Idea Usher, we focus on integrating the best tech to build pregnancy apps that users and doctors can trust.
1. Wearable Syncing: Smarter Health Tracking
Integrating with popular wearable devices like Apple Health, Fitbit, Oura Ring, and Tempdrop enhances the app’s ability to track and analyze vital health data automatically. This integration makes health monitoring more precise, providing users with tailored insights:
- Basal Body Temperature Tracking: By syncing with wearables, the app continuously monitors temperature shifts to improve ovulation prediction and fertility insights.
- Heart Rate & Sleep Monitoring: Track irregularities in heart rate and sleep patterns to detect stress or other potential health concerns.
- Activity Syncing: The app can suggest safe exercises based on the user’s current trimester, making fitness guidance more personalized.
For example, if a user’s heart rate increases, the app might alert them: “Your heart rate is higher than usual; take a break and stay hydrated.”
2. EHR/EMR Integration: Connecting Users with Healthcare Providers
Integrating Electronic Health Records and EMR systems like Epic and Cerner allows for smoother communication between the app and healthcare providers:
- Sharing Pregnancy Logs: Automatically update OB-GYNs on pregnancy progress, ensuring that doctors have access to the most up-to-date health data.
- Flagging High-Risk Symptoms: If the app detects signs of complications like preeclampsia, it sends a real-time alert to the clinician for immediate action.
- Telehealth Workflows: Appointment scheduling, prescription management, and virtual consultations can be conducted directly through the app, streamlining care.
Around 72% of healthcare providers prefer apps that integrate with EHRs (Rock Health), as it helps ensure that pregnancy care is proactive and data-driven.
3. AI Chatbots: 24/7 Virtual Support
AI chatbots enhance user engagement by delivering instant, reliable responses to pregnancy-related questions, identifying emergencies, and connecting users to healthcare providers when needed. With multilingual support, they ensure that help is always accessible, no matter where users are from.
Tech Stack: Using NLP models such as GPT-4 and Gemini alongside RAG technology ensures that the chatbot delivers accurate, personalized, and up-to-date responses.
Conclusion
An AI pregnancy app like Ovia Health is vital for providing expecting parents with personalized guidance, health tracking, and timely insights throughout their pregnancy journey. By offering accurate, real-time updates and support, these apps can make a meaningful difference in the lives of users. If you’re ready to develop an AI app like Ovia Health that truly benefits its users, get in touch with us for a free consultation. Let’s discuss how we can bring your vision to life and create a solution that makes a real impact.
Looking to Develop an AI Pregnancy app like Ovia Health?
At Idea Usher, we bring your AI pregnancy app vision to life with advanced AI, intuitive user experiences, and over 500,000 hours of coding expertise from ex-MAANG/FAANG developers.
From personalized pregnancy tracking to AI-driven health insights, we create secure, scalable, and engaging apps that expecting mothers can rely on throughout their journey.
Here’s what you can expect,
- AI-Powered Predictions (Fertility, Due Dates, Health Tips)
- HIPAA-Compliant & Secure (Trusted Data Protection)
- Wearable & EHR Integration (Fitbit, Apple Health & More)
- Engaging UI/UX (Designed for Expecting Mothers)
With more than 50 AI health apps already built, your app could be the next big success. Get in touch with us to explore how we can turn your idea into a meaningful, impactful solution.
See our latest projects to experience our success in action.
Work with Ex-MAANG developers to build next-gen apps schedule your consultation now
FAQs
A1: To develop an AI pregnancy app, start by understanding the needs of expecting mothers and building features that provide real value, like personalized tracking, health insights, and symptom monitoring. The app should offer a simple, intuitive design that makes the pregnancy journey smoother. Integrating AI can help deliver tailored advice and predictions, while security and compliance with healthcare standards, like HIPAA, should be a top priority throughout the development process.
A2: An AI pregnancy app should include features like personalized due date tracking, health status updates, and symptom predictions. It should offer helpful daily tips, mood tracking, and reminders for doctor’s appointments or prenatal care. Additional features, like integration with wearable devices (Fitbit, Apple Health), can provide a deeper view of the user’s health and wellness, making the app more comprehensive and valuable for expecting mothers.
A3: The cost of developing an AI pregnancy app depends on the complexity of its features, design, and functionality. A basic app with simple tracking can be more affordable, while a more advanced app that integrates AI for personalized predictions, health data analysis, and wearable tech will require a higher budget. It’s also important to factor in ongoing maintenance, updates, and regulatory compliance, which can affect the overall cost.
A4: AI pregnancy apps typically earn money through subscription models that offer premium features, such as expert consultations, advanced tracking tools, or more personalized insights. In-app purchases, like maternity products or health services, are another common revenue stream. Some apps partner with healthcare brands or providers, incorporating affiliate marketing or sponsored content to generate additional income while keeping the user experience intact.
