Trending in Health Mobile Apps: Current Trends, Rankings and Insights from H2 2025
Download the Full Report ⬇️⬇️
📥 H2_2025_Exploring_the_Health_Mobile_Apps_Space_by_LucidQuest
The mobile health applications market continues to expand within the wider digital health ecosystem, which is projected to reach USD 201.1 billion by 2030, growing at a compound annual growth rate of 17.1% between 2025 and 2030. Against this backdrop, LucidQuest Intelligence reviewed the mobile health apps landscape in H2 2025, examining how apps are positioned, adopted, and used across 14 therapy areas.
Across all therapy areas, the picture is consistent. Most mobile health apps are designed as patient-facing tools that support self-management rather than as solutions embedded into formal healthcare delivery. Scientific and medical terminology is widely used, yet this is rarely matched by medical-grade functionality or meaningful integration into care workflows.
Executive Summary: Structural Patterns Across Health Mobile Apps
Apps that achieve scale and sustained use tend to do so through simplicity, ease of use, and well-designed tracking routines rather than through demonstrated clinical impact. Logging, monitoring, and symptom recording form the core of functionality, even in therapy areas where care is strongly measurement-driven, such as diabetes, cardiovascular disease, and respiratory conditions.
Where data sharing exists, it is most often initiated by the user and intended to support discussions during clinical visits. Continuous monitoring, decision support, or direct clinician interaction remain uncommon. This creates a clear and recurring disconnect between how apps are framed medically and what they deliver in practice — a pattern observed consistently across all therapy areas reviewed in the report
🎯 Watch a short overview of the key findings below
Where Mobile Health Apps Stood in H2 2025: A Therapy Area Overview
Alzheimer’s Disease and Dementia
The ecosystem is dominated by cognitive training and brain game applications positioned around general brain fitness rather than disease-specific support. Fewer than half of relevant apps reference scientific or clinical evidence, and leading products are not designed as validated interventions for dementia or Alzheimer’s disease.
Arthritis
Apps largely focus on pain tracking, symptom diaries, and day-to-day self-management. Medical language is common, but supporting evidence is typically described at a high level, with limited clarity around validation or clinical integration.
Cardiovascular Diseases
This is one of the largest and most crowded app ecosystems, centered on heart rate, blood pressure, ECG, and wearable-enabled monitoring. Despite strong medical positioning, most apps remain limited to tracking and do not extend into clinical decision support.
Crohn’s Disease, IBD, and Ulcerative Colitis
A smaller, more medically framed ecosystem focused on symptom logging, diet tracking, and medication management. Apps primarily support self-management and preparation for clinical appointments rather than ongoing clinical oversight.
Diabetes
One of the more mature therapy areas, driven by glucose monitoring, insulin tracking, and lifestyle management. Integration into daily routines is strong, yet automated treatment adjustments and embedded care pathways remain limited.
Hemophilia
A highly specialized and narrowly focused ecosystem centered on infusion records and bleed tracking. Credibility is relatively strong, often supported by pharmaceutical companies or patient organizations, though innovation beyond logging functionality is limited.
Kidney Health and Nephrology
Apps emphasize laboratory values, dialysis scheduling, dietary management, and medication tracking. While clinically oriented, most tools offer limited personalization by disease stage and minimal integration into clinical workflows.
Major Depressive Disorder
A broad, consumer-oriented landscape built around mood tracking, CBT-informed exercises, and self-help content. Medical terminology is frequently used, but formal validation and integration with mental healthcare systems remain limited.
Migraine
Condition-specific apps focus on attack logging, trigger identification, and medication use. Compared with many other therapy areas, credibility is stronger, though functionality remains largely centered on tracking rather than intervention.
Multiple Sclerosis
A small and specialized ecosystem addressing symptom monitoring, fatigue, and relapse tracking. Despite condition specificity, most apps remain patient-led, with limited clinician-facing functionality.
Oncology (Multiple Indications)
A large and varied ecosystem covering education, symptom support, treatment organization, and survivorship. Most apps function as supportive tools alongside care rather than as integrated components of oncology pathways.
Parkinson’s Disease
Apps focus primarily on symptom and medication tracking. Despite clinical framing, integration into care pathways is minimal, and functionality remains largely supportive.
Psoriasis
Apps are typically used for flare tracking, photo documentation, and treatment adherence. Dermatology language is common, but validated outcomes and treatment optimization features are rare.
Respiratory Diseases
Strongly clinically framed, with a focus on asthma and COPD monitoring, inhaler use, and spirometry-related features. Most apps follow a track-and-report approach and stop short of treatment optimization or proactive clinical engagement.
Download the full H2 2025 health mobile apps report
What’s in the full report
The H2 2025 Exploring the Health Mobile Apps Space report provides:
-
Analysis across fourteen therapy areas
-
App rankings based on downloads and proprietary scoring
-
User sentiment insights from app Google Play reviews
-
Identification of gaps and opportunities in the mobile health landscape
Access the report
Download the full PDF to explore the complete data and insights.
📥 H2_2025_Exploring_the_Health_Mobile_Apps_Space_by_LucidQuest
✅ Contact LucidQuest at info@lqventures.com for strategic guidance on mhealth, AI adoption in healthcare and clinical research.