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PUBLISHER: GlobalData | PRODUCT CODE: 1850919

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PUBLISHER: GlobalData | PRODUCT CODE: 1850919

Atrial Fibrillation: Eight-Market Drug Forecast and Market Analysis - Update

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The table below presents the key metrics for atrial fibrillation (AF) in the eight major pharmaceutical markets (8MM) covered in this report-the US, 5EU (France, Germany, Italy, Spain, and the UK), Japan, and Canada-during the forecast period from 2022-32.

In 2022, GlobalData estimated that the global AF market reached $14.5 billion across the 8MM. The US makes up the majority of total global sales, contributing $10.7 billion (74%) due to the large prevalent AF population in the US, early adoption of the new oral anticoagulants (NOACs), and higher prices for AF medications in this market. GlobalData anticipates that the global AF market will decline at a negative compound annual growth rate (CAGR) of 3.2%, to be worth approximately $10.5 billion by 2032. The US is expected to maintain its position as the market leader in 2032, contributing 72% towards the total global sales.

The major growth drivers in the AF market during the forecast period include the following -

  • A total of three pipeline products, including two anticoagulants and one calcium channel blocker, will launch during the forecast period, each of which will have a higher annual cost of therapy (ACOT) when compared with the cost of generic NOACs and the commonly used pharmacological agents, respectively.
  • Factor XI (FXI)/FXIa inhibitors, including abelacimab and milvexian, will be welcomed by the many AF patients who are not treated with the currently available anticoagulants due to bleeding concerns.
  • In the 8MM, the number of 12-month total prevalent cases of AF treated is expected to increase during the forecast period, which will drive sales.
  • Continued increases in AF awareness will improve diagnosis rates.

The major barriers to growth in the AF market during the forecast period include the following:

  • All four NOACs will face generic erosion as their patents expire over the forecast period.
  • The AF market is crowded with inexpensive generic products for the maintenance of rate and rhythm control. The high use of these products is expected to continue throughout the forecast period, presenting a stiff barrier of entry for pipeline drugs.
  • High cost of FXI/FXIa inhibitors compared to the NOAC generics will likely hinder patient uptake.

Scope

  • Overview of AF, including epidemiology, symptoms, diagnosis, and disease management.
  • Annualized AF therapeutics market revenue, cost of therapy per patient, and treatment usage patterns forecast from 2022 to 2032.
  • Key topics covered include strategic competitor assessment, market characterization, unmet needs, clinical trial mapping, and implications of these factors for the AF therapeutics market.
  • Pipeline analysis: comprehensive data assessing emerging trends and mechanisms of action under development for AF treatment. The most promising candidates in late-stage development are profiled.
  • Analysis of the current and future market competition in the global AF therapeutics market. Insightful review of the key industry drivers, restraints and challenges. Each trend is independently researched to provide qualitative analysis of its implications.

Reasons to Buy

  • Develop and design your in-licensing and out-licensing strategies through a review of pipeline products and technologies, and by identifying the companies with the most robust pipeline.
  • Develop business strategies by understanding the trends shaping and driving the 7MM AF therapeutics market.
  • Drive revenues by understanding the key trends, innovative products and technologies, market segments, and companies likely to impact the 7MM AF therapeutics market in the future.
  • Formulate effective sales and marketing strategies by understanding the competitive landscape and by analyzing the performance of various competitors.
  • Identify emerging players with potentially strong product portfolios and create effective counter-strategies to gain a competitive advantage.
  • Organize your sales and marketing efforts by identifying the market categories and segments that present maximum opportunities for consolidations, investments and strategic partnerships.
Product Code: GDHC330PIDR-8M

Table of Contents

Table of Contents

1 Atrial Fibrillation: Executive Summary

  • 1.1 Summary of changes
  • 1.2 Executive summary
  • 1.3 AF market will decline at a negative CAGR of 3.2%
  • 1.4 Bayer and Bristol Myers Squibb will continue to lead the AF market over the forecast period
  • 1.5 While outlook in AF improves, opportunities remain to improve patient outcomes
  • 1.6 BMS and Johnson & Johnson's (J&J) milvexian will be a key driver of growth
  • 1.7 What do physicians think?

2 Introduction

  • 2.1 Catalyst
  • 2.2 Related reports
  • 2.3 Upcoming reports

3 Disease Overview

  • 3.1 Etiology and pathophysiology
    • 3.1.1 Etiology
    • 3.1.2 Pathophysiology
  • 3.2 Classification

4 Epidemiology

  • 4.1 Disease background
  • 4.2 Risk factors and comorbidities
  • 4.3 Global and historical trends
  • 4.4 8MM forecast methodology
    • 4.4.1 Sources
    • 4.4.2 Forecast assumptions and methods
    • 4.4.3 Forecast assumptions and methods: total prevalent cases of AF - 8MM
    • 4.4.4 Forecast assumptions and methods: diagnosed prevalent cases of AF
    • 4.4.5 Forecast assumptions and methods: diagnosed prevalent cases of AF by temporal patterns of arrhythmia
    • 4.4.6 Forecast assumptions and methods: diagnosed prevalent cases of AF by CHADS2 stroke risk score
    • 4.4.7 Forecast assumptions and methods: diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in men
    • 4.4.8 Forecast assumptions and methods: diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in women
    • 4.4.9 Forecast assumptions and methods: diagnosed prevalent cases of AF with/without moderate-to-severe mitral stenosis and/or an artificial (mechanical) heart valve
    • 4.4.10 Forecast assumptions and methods: diagnosed prevalent cases of AF with CKD by stage
    • 4.4.11 Forecast assumptions and methods: diagnosed prevalent cases of AF with major bleeding risk by HAS-BLED score
    • 4.4.12 Forecast assumptions and methods: diagnosed prevalent cases of AF admitted to ED
  • 4.5 Epidemiological forecast for atrial fibrillation
    • 4.5.1 Total prevalent cases of AF
    • 4.5.2 Diagnosed prevalent cases of AF
    • 4.5.3 Age-specific diagnosed prevalent cases of AF
    • 4.5.4 Sex-specific diagnosed prevalent cases of AF
    • 4.5.5 Diagnosed prevalent cases of AF by temporal pattern of arrhythmia
    • 4.5.6 Diagnosed prevalent cases of AF by CHADS2 stroke risk score
    • 4.5.7 Diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in men
    • 4.5.8 Diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in women
    • 4.5.9 Diagnosed prevalent cases of AF with or without moderate-to-severe mitral stenosis and/or an artificial (mechanical) heart valve
    • 4.5.10 Diagnosed prevalent cases of AF with CKD by stage
    • 4.5.11 Diagnosed prevalent cases of AF with major bleeding risk by HAS-BLED score
    • 4.5.12 Diagnosed prevalent cases of AF admitted to ED
  • 4.6 Discussion
    • 4.6.1 Epidemiological forecast insight
    • 4.6.2 COVID-19 impact
    • 4.6.3 Limitations of the analysis
    • 4.6.4 Strengths of the analysis

5 Disease Management

  • 5.1 Diagnosis and treatment overview
    • 5.1.1 Diagnosis
    • 5.1.2 Treatment
  • 5.2 KOL insights on disease management

6 Competitive Assessment

  • 6.1 Overview

7 Unmet Needs and Opportunity Assessment

  • 7.1 Overview
  • 7.2 Development of anticoagulants with reduced risk of bleeding
  • 7.3 Therapies for atrial fibrillation patients with ESRD
  • 7.4 Safer antiarrhythmic drugs for the maintenance of sinus rhythm
  • 7.5 Effective and rapid-acting cardioversion drugs

8 R&D Strategies

  • 8.1 Overview
    • 8.1.1 Development of anticoagulants with novel MOAs to reduce bleeding risk
    • 8.1.2 FXI/FXIa inhibitor modalities
    • 8.1.3 Development of non-invasive and fast-acting cardioversion agents
  • 8.2 Clinical trials design
    • 8.2.1 Exclusion criteria for AF clinical trials

9 Pipeline Assessment

  • 9.1 Overview
  • 9.2 Promising drugs in clinical development

10 Pipeline Valuation Analysis

  • 10.1 Overview
  • 10.2 Competitive assessment
    • 10.2.1 Anticoagulant agents
    • 10.2.2 Pharmacological calcium channel blockers

11 Current and Future Players

  • 11.1 Overview
  • 11.2 Deal-making trends

12 Market Outlook

  • 12.1 Market outlook - updated August 2025, based on events up to July 2025
    • 12.1.1 Forecast
    • 12.1.2 Drivers and barriers - global issues
  • 12.2 US
    • 12.2.1 Forecast
    • 12.2.2 Key events
    • 12.2.3 Drivers and barriers
  • 12.3 5EU
    • 12.3.1 Forecast
    • 12.3.2 Key events
    • 12.3.3 Drivers and barriers
  • 12.4 Japan
    • 12.4.1 Forecast
    • 12.4.2 Key events
    • 12.4.3 Drivers and barriers
  • 12.5 Canada
    • 12.5.1 Forecast
    • 12.5.2 Key events
    • 12.5.3 Drivers and barriers

13 Appendix

  • 13.1 Bibliography
  • 13.2 Abbreviations
  • 13.3 Methodology
    • 13.3.1 Forecasting methodology
  • 13.4 Primary research - KOLs interviewed for this report
    • 13.4.1 KOLs
  • 13.5 Primary research - prescriber survey
  • 13.6 About the authors
    • 13.6.1 Analyst
    • 13.6.2 Therapy area director
    • 13.6.3 Epidemiologist
    • 13.6.4 Epidemiologist reviewers
    • 13.6.5 Vice President of Disease Analysis and Intelligence
    • 13.6.6 Global Head of Pharma Research, Analysis and Competitive Intelligence
  • About GlobalData
  • Contact Us
Product Code: GDHC330PIDR-8M

List of Table

List of Tables

  • Table 1: Summary of changes to AF: Eight-Market Drug Forecast and Analysis report
  • Table 2: Atrial fibrillation: key metrics in the 8MM
  • Table 3: Common cardiac and non-cardiac causes of AF
  • Table 4: Classification of AF
  • Table 5: Risk factors and comorbidities for AF
  • Table 6: CHA2DS2-VA score for stroke risk assessment
  • Table 7: CHA2DS2-VASc score for stroke risk assessment
  • Table 8: Treatment guidelines for atrial fibrillation
  • Table 9: Top 10 deals by value, 2020-25
  • Table 10: Atrial fibrillation market - global drivers and barriers, 2022-32
  • Table 11: Key events impacting sales for atrial fibrillation in the US, 2022-32
  • Table 12: Atrial fibrillation market - drivers and barriers in the US, 2022-32
  • Table 13: Key events impacting sales for atrial fibrillation in the 5EU, 2022-32
  • Table 14: Atrial fibrillation market - drivers and barriers in the 5EU, 2022-32
  • Table 15: Key events impacting sales for atrial fibrillation in Japan, 2022-32
  • Table 16: Atrial fibrillation market - drivers and barriers in Japan, 2022-32
  • Table 17: Key events impacting sales for atrial fibrillation in Canada, 2022-32
  • Table 18: Atrial fibrillation market - drivers and barriers in Canada, 2022-32
  • Table 19: High-prescribing physicians (non-KOLs) surveyed, by country

List of Figure

List of Figures

  • Figure 1: Global sales forecast by country for atrial fibrillation in 2022 and 2032
  • Figure 2: Analysis of the company portfolio gap in atrial fibrillation during the forecast period
  • Figure 3: Competitive assessment of the pipeline anticoagulant drugs benchmarked against the current SOC
  • Figure 4: Competitive assessment of the pipeline drugs for pharmacological cardioversion benchmarked against the SOC
  • Figure 5: 8MM, diagnosed prevalence of AF (%), men and women, ages >=40 years, 2022
  • Figure 6: 8MM, sources used and not used to forecast the diagnosed prevalent cases of AF
  • Figure 7: 8MM, sources used to forecast the diagnosed prevalent cases of AF by temporal pattern of arrhythmia
  • Figure 8: 8MM, sources used to forecast the diagnosed prevalent cases of AF by CHADS2 stroke risk score
  • Figure 9: 8MM, sources used to forecast the diagnosed prevalent cases of AF by CHA2DS2 - VASc score in men
  • Figure 10: 8MM, sources used to forecast the diagnosed prevalent cases of AF by CHA2DS2 - VASc score in women
  • Figure 11: 8MM, sources used to forecast the diagnosed prevalent cases of AF with/without moderate-to-severe mitral stenosis and/or an artificial (mechanical) heart valve
  • Figure 12: 8MM, sources used to forecast the diagnosed prevalent cases of AF with CKD
  • Figure 13: 8MM, sources used to forecast the diagnosed prevalent cases of AF with major bleeding risk by HAS-BLED score
  • Figure 14: 8MM, sources used to forecast the diagnosed prevalent cases of AF admitted to the ED
  • Figure 15: 8MM, sources used to forecast the diagnosis rate of AF
  • Figure 16: 8MM, total prevalent cases of AF, N, both sexes, ages >=40 years, 2022
  • Figure 17: 8MM, diagnosed prevalent cases of AF, N, both sexes, ages >=40 years, 2022
  • Figure 18: 8MM, diagnosed prevalent cases of AF by age, N, both sexes, 2022
  • Figure 19: 8MM, diagnosed prevalent cases of AF by sex, N, ages >=40 years, 2022
  • Figure 20: 8MM, diagnosed prevalent cases of AF by temporal pattern of arrhythmia, N, both sexes, ages >=40 years, 2022
  • Figure 21: 8MM, diagnosed prevalent cases of AF by CHADS2 stroke risk score, N, both sexes, ages >=40 years, 2022
  • Figure 22: 8MM, diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in men, N, men, ages >=40 years, 2022
  • Figure 23: 8MM, diagnosed prevalent cases of AF by CHA2DS2 - VASc stroke risk score in women, N, women, ages >=40 years, 2022
  • Figure 24: 8MM, diagnosed prevalent cases of AF with and without moderate-to-severe mitral stenosis and/or an artificial (mechanical) heart valve, N, both sexes, >=40 years, 2022
  • Figure 25: 8MM, diagnosed prevalent cases of AF with CKD by stage, N, both sexes, ages >=40 years, 2022
  • Figure 26: 8MM, diagnosed prevalent cases of AF by HAS-BLED score, N, both sexes, ages >=40 years, 2022
  • Figure 27: 8MM, diagnosed prevalent cases of AF admitted to ED, N, both sexes, ages >=40 years, 2022
  • Figure 28: General treatment algorithm for stroke prevention in AF
  • Figure 29: CCS guideline recommendations for choosing an anticoagulant
  • Figure 30: General treatment algorithm for long-term ventricular rate control in AF patients
  • Figure 31: Treatment algorithm for the maintenance of sinus rhythm in AF patients
  • Figure 32: Unmet needs and opportunities in AF
  • Figure 33: Overview of the development pipeline in atrial fibrillation
  • Figure 34: Key late-stage trials for the promising pipeline agents that GlobalData expects to be licensed for atrial fibrillation in the 8MM during the forecast period
  • Figure 35: Competitive assessment of the marketed and pipeline drugs for anticoagulation benchmarked against the SOC
  • Figure 36: Competitive assessment of the marketed and pipeline drugs for calcium channel blocker benchmarked against diltiazem
  • Figure 37: Analysis of the company portfolio gap in AF during the forecast period
  • Figure 38: Global (8MM) sales forecast by country for atrial fibrillation in 2022 and 2032
  • Figure 39: Sales forecast by class for atrial fibrillation in the US in 2022 and 2032
  • Figure 40: Sales forecast by class for atrial fibrillation in the 5EU in 2022 and 2032
  • Figure 41: Sales forecast by class for atrial fibrillation in Japan in 2022 and 2032
  • Figure 42: Sales forecast by class for atrial fibrillation in Canada in 2022 and 2032
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