Dyslipidemia is a key modifiable risk factor for cardiovascular disease (CVD). Current lipid-modifying therapies, including statins, ezetimibe, fibrates, omega-3 fatty acid compounds, and PCSK9 inhibitors, focus on improving lipid levels with an end goal of reducing the risk of CVD. Statins dominate the market owing to their good risk-benefit profiles and evidence of their ability to reduce CV morbidity and mortality. The positive CV outcomes trial (CVOT) data for some nonstatin therapies such as the PCSK9 inhibitors and Vascepa are expected to open the market to these branded agents. The launches of emerging therapies, including Novartis’s inclisiran and Esperion Therapeutics’ bempedoic acid, during the forecast period will further enhance dyslipidemia treatment; however, the discontinuation of Epanova’s STRENGTH CVOT and the CaPre TRILOGY-1 trial failure add uncertainty to the future of these therapies.


  • What is the impact of the genericization of statins and Merck’s Zetia/Ezetrol (ezetimibe) and Vytorin/Inegy (ezetimibe/simvastatin) on the dyslipidemia market?
  • How are the PCSK9 inhibitors positioned in the dyslipidemia market? How have positive CVOT data and price reductions influenced the market penetration of Repatha (evolocumab) and Praluent (alirocumab)?
  • How will the anticipated launch of Esperion Therapeutics’ orally administered bempedoic acid affect the use of the injectable PCSK9 inhibitors? Which products will experience the most use and why?
  • What impact will the discontinuation of AstraZeneca’s Epanova and label expansion of Vascepa have on the management of hypertriglyceridemia?


Markets covered: United States, France, Germany, Italy, Spain, United Kingdom, Japan.

Primary research: 20 country-specific interviews with thought-leading lipidologists. Supported by survey data collected for this and other DRG research.

Epidemiology: Prevalent cases of dyslipidemia by country, CVD prevention setting, and diagnosed/drug-treated populations.

Emerging therapies: Coverage of select emerging therapies from preclinical to preregistration stages.

Market forecast features: Ten-year, annualized, drug-level sales and patient share of key dyslipidemia therapies through 2028, segmented by brands/generics and CVD prevention setting.

Table of contents

  • Disease Landscape & Forecast
    • COVID-19
    • Key Findings
      • Dyslipidemia - Key Findings - July 2020
    • Key Updates
      • July 2020
      • May 2020
      • March 2020
      • November 2019
      • July 2019
      • June 2019
    • Market Outlook
      • Key Findings
      • COVID-19: Areas of Potential Forecast Impact
      • Market Drivers and Constraints
        • What Factors Are Driving the Market for Dyslipidemia?
        • What Factors Are Constraining the Market for Dyslipidemia?
      • Drug-Class-Specific Trends
        • Statins
        • Cholesterol Absorption Inhibitors
        • PCSK9-Targeting Agents
        • ACL Inhibitors
        • PPAR Modulators
        • Omega-3 Fatty Acid Compounds
        • Bile Acid Sequestrants
        • Niacin Derivatives
    • Forecast
      • Market Forecast Assumptions
      • Market Forecast Dashboard
    • Etiology and Pathophysiology
      • Disease Overview
      • Etiology
      • Pathophysiology
      • Natural History
      • Key Pathways and Drug Targets
    • Epidemiology
      • Key Findings
      • Epidemiology Populations
        • Total Prevalent Cases of Primary and Secondary Prevention Dyslipidemia
        • Diagnosed Prevalent Cases of Dyslipidemia
        • Drug-Treated Cases of Dyslipidemia
    • Current Treatment
      • Key Findings
      • Treatment Goals
      • Key Current Therapies
        • Overview
        • Statins
        • Cholesterol Absorption Inhibitors
        • PCSK9 Inhibitors
        • Omega-3 Fatty Acid Compounds
        • PPAR Modulators
        • Bile Acid Sequestrants
        • Niacin Derivatives
        • Treatments for Rare Lipid Disorders
      • Medical Practice
        • Overview
        • Country-Specific Treatment Practices
    • Unmet Need Overview
      • Current and Future Attainment of Unmet Needs in Dyslipidemia
    • Emerging Therapies
      • Key Findings
      • Key Emerging Therapies
        • siRNA inhibitors of PCSK9
        • Omega-3 Fatty Acid Compounds
        • ACL Inhibitors
        • BET Inhibitors
        • CETP Inhibitors
        • Angiopoietin-Like Protein 3 Inhibitors
      • Early-Phase Pipeline Analysis
      • Key Discontinuations and Failures in Dyslipidemia
    • Access & Reimbursement Overview
      • Region-Specific Reimbursement Practices
        • United States
        • EU5
        • Japan
    • Methodology
      • Bottom-Up Forecasting Overview
        • Patient Populations
        • Drug-Specific Assumptions
      • Bottom-Up Forecast Assumptions
        • General Sources of Data
        • Agents Included in Our Market Analysis
        • General Statements About Pricing
        • Dosing, Days of Therapy, and Compliance
        • Generic Erosion
        • Out-Year Forecasting
        • Emerging Therapy Prices
      • Primary Market Research
        • Experts Interviewed
    • Appendix
      • Dyslipidemia Bibliography

Author(s): Rohit Bansal, MS (Pharm.); Ema Rodrigues, DSc, MPH

Rohit joined Decision Resources Group (DRG)’s Cardiovascular, Metabolic, Renal, and Hematologic Disorders team in April 2019. His current focus includes non-alcoholic steatohepatitis (NASH), glomerulonephritis, and renal anemia. Prior to joining DRG, Rohit worked as analyst helping pharmaceutical clients address their business questions across various therapeutic areas. Rohit’s postgraduate research centred on molecular dynamics. His work included computer-aided drug design software that involved studying the effect of pharmaceutical excipients on the reabsorption of drug molecules from cancer cells leading to drug resistance.

Ema is an epidemiologist with expertise in forecasting incident and prevalent populations within oncology, as well as some cardiovascular indications such as venous thromboembolism. She has significant experience with statistical methods such as multivariate linear regression, conditional logistic regression, principal components analysis, mixed models, hierarchical modeling, and path analysis to account for the complex relationships among various predictors of health outcomes, particularly correlated variables. She completed her master’s and doctoral degree (MPH, ) in Environmental Health at Boston University School of Public Health, where she worked on projects investigating significant predictors of various health outcomes including central nervous system cancer, cognitive function, and birth outcomes.              

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