Non-Alcoholic Fatty Liver Disease (NAFLD)
Pipeline by Development Stage
Metabolic Diseases is a $70.5B mature market dominated by diabetes and anticoagulation therapies with sustained blockbuster momentum.
Key Trends
- GLP-1 agonists (Ozempic, Mounjaro) driving explosive growth and market consolidation
- SGLT2 inhibitors expanding beyond diabetes into cardio-renal indications
- Significant patent cliff risk 2027-2029 for DPP-4 inhibitors (Januvia) and older insulins
Career Verdict
Excellent opportunity for specialists seeking stable, high-revenue exposure with strong hiring momentum in commercial and engineering roles.
AI-generated market analysis based on FDA, CMS, ClinicalTrials.gov, and hiring data
Market Leaders
| # | Product | Company | Revenue | Share | Stage | Trend | LOE |
|---|---|---|---|---|---|---|---|
| 1 | ELIQUIS (apixaban) | Bristol Myers Squibb | $18.3B | 26% | Launch | Stable | 15.0yr |
| 2 | OZEMPIC (semaglutide) | Novo Nordisk | $9.2B | 13% | Peak | Growing | 12.4yr |
| 3 | JARDIANCE (empagliflozin) | Boehringer Ingelheim | $8.8B | 12% | Peak | Growing | 8.6yr |
| 4 | TRULICITY (dulaglutide) | Eli Lilly and Company | $7.4B | 10% | Peak | Stable | |
| 5 | FARXIGA (dapagliflozin) | AstraZeneca | $4.3B | 6% | Peak | Growing | 15.4yr |
Drug Class Breakdown
stable, mature franchise
rapid growth, expanding indications
growing, cardio-renal expansion
stable, generics pressure
declining, patent cliff 2027
Career Outlook
GrowingMetabolic diseases offers stable, high-value career trajectory with blockbuster product revenue supporting competitive compensation and long-term job security. Commercial and field-based roles dominate hiring, reflecting the shift toward patient access, digital health, and device integration in diabetes management. Patent cliff exposure in DPP-4 class (2027-2029) creates near-term volatility for Merck but limited impact on overall market given GLP-1 dominance.
Breaking In
Target device companies (Insulet, Abbott) or diagnostic firms for entry-level roles if traditional pharma hiring is limited; strong foundation in diabetes biology and HbA1c/CGM metrics will accelerate credibility.
For Experienced Professionals
Experienced professionals should prioritize GLP-1 franchise or SGLT2 indication expansion roles; avoid Merck DPP-4-focused assignments given 2027 patent cliff, unless willing to transition to next-generation pipeline.
In-Demand Skills
Best For
Hiring Landscape
Hiring activity is concentrated in commercial roles (166 positions) and engineering (126 positions), driven by device makers (Insulet: 270 jobs) and diagnostic companies (Abbott: 154 jobs) rather than traditional pharma. Sanofi leads pharma hiring with 42 metabolic-focused positions, but specialized roles in clinical operations remain constrained. Salary expectations range from $153K (Clinical Ops) to $274K (Manufacturing), with strong compensation for commercial and quality roles.
Top Hiring Companies
By Department
Strongest hiring momentum in device/delivery and commercial infrastructure; traditional pharma R&D roles remain limited despite blockbuster pipeline.
Competitive Landscape
8 companies ranked by most advanced pipeline stage
Trial Timeline
Clinical trial activity over time
Clinical Trials (5)
Total enrollment: 908 patients across 5 trials
Proliverenol Supplementation for Non-Alcoholic Fatty Liver Disease (NAFLD)
A Study To Assess Pharmacodynamics, Safety And Tolerability Of PF-05221304 And PF-06865571 Co-Administered For 6 Weeks In Adults With Non-Alcoholic Fatty Liver Disease.
Use of a Novel Drug in People With Non-alcoholic Steatohepatitis (NASH) or Non-alcoholic Fatty Liver Disease (NAFLD)
Validation Study of the Velacur System in Comparison to MRE & MRI-PDFF in Patients With (Suspected) Liver Disease
NASH Patient's Itinerary: Comparison of Strategies for Screening, Referring and Management of Diabetic Patients
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Phase Legend
Key Insights
The information on this page is for informational purposes only and should not be used as a substitute for professional medical advice. Drug information is sourced from FDA, DailyMed, and other government databases. Adverse event data from FAERS does not establish causation. Always consult a healthcare professional for medical decisions.