
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Psoriasis Biosimilars Market Snapshot
Chapter 4. Global Psoriasis Biosimilars Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Psoriasis Biosimilars Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Psoriasis Biosimilars Industry Trends
Chapter 5. Psoriasis Biosimilars Market Segmentation 1: By Drug Class, Estimates & Trend Analysis
5.1. Market Share by Drug Class, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Drug Class:
5.2.1. TNF-alpha Inhibitors
5.2.1.1. Infliximab
5.2.1.2. Etanercept
5.2.1.3. Adalimumab
5.2.2. Other Biosimilars
Chapter 6. Psoriasis Biosimilars Market Segmentation 2: By Indication, Estimates & Trend Analysis
6.1. Market Share by Indication, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Indications:
6.2.1. Plaque Psoriasis
6.2.2. Psoriatic Arthritis
6.2.3. Other Types
Chapter 7. Psoriasis Biosimilars Market Segmentation 3: By Route of Administration, Estimates & Trend Analysis
7.1. Market Share by Route of Administration, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Route of Administrations:
7.2.1. Subcutaneous
7.2.2. Intravenous
Chapter 8. Psoriasis Biosimilars Market Segmentation 4: By Sales Channel, Estimates & Trend Analysis
8.1. Market Share by Sales Channel, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Sales Channels:
8.2.1. Hospital Pharmacies
8.2.2. Retail Pharmacy Chains
8.2.3. Online Pharmacies
Chapter 9. Psoriasis Biosimilars Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Psoriasis Biosimilars Market, Regional Snapshot 2023 & 2031
9.2. North America
9.2.1. North America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Drug Class, 2024-2031
9.2.3. North America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Indication, 2024-2031
9.2.4. North America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Route of Administration, 2024-2031
9.2.5. North America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Sales Channel, 2024-2031
9.3. Europe
9.3.1. Europe Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Drug Class, 2024-2031
9.3.3. Europe Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Indication, 2024-2031
9.3.4. Europe Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Route of Administration, 2024-2031
9.3.5. Europe Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Sales Channel, 2024-2031
9.4. Asia Pacific
9.4.1. Asia Pacific Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Drug Class, 2024-2031
9.4.3. Asia Pacific Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Indication, 2024-2031
9.4.4. Asia Pacific Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts By Route of Administration, 2024-2031
9.4.5. Asia Pacific Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Sales Channel, 2024-2031
9.5. Latin America
9.5.1. Latin America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Drug Class, 2024-2031
9.5.3. Latin America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Indication, 2024-2031
9.5.4. Latin America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Route of Administration, 2024-2031
9.5.5. Latin America Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Sales Channel, 2024-2031
9.6. Middle East & Africa
9.6.1. Middle East & Africa Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Drug Class, 2024-2031
9.6.3. Middle East & Africa Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Indication, 2024-2031
9.6.4. Middle East & Africa Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Route of Administration, 2024-2031
9.6.5. Middle East & Africa Psoriasis Biosimilars Market Revenue (US$ Million) Estimates and Forecasts by Sales Channel, 2024-2031
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Alvotech
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service Offerings
10.2.1.3. Financial PerDrug Classance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. Amgen Inc.
10.2.3. Biocon
10.2.4. Biogen
10.2.5. Biosimilar Collaborations Ireland Limited
10.2.6. Boeheringer Ingelheim
10.2.7. Celltrion
10.2.8. Cipla
10.2.9. Coherus Biosciences
10.2.10. Cordavis Ltd.
10.2.11. Epirus Biopharmaceuticals
10.2.12. Fresenius Kabi
10.2.13. Glenmark Pharmaceuticals
10.2.14. Hanwha Chemical
10.2.15. Hetero
10.2.16. Innovent Biologics
10.2.17. Kyowa Hakko Kirin (Fujifilm Kyowa Kirin Biologics)
10.2.18. LG Chem
10.2.19. Lupin
10.2.20. Mabpharm
10.2.21. Merck
10.2.22. Mylan
10.2.23. Nichi-Iko Pharmaceutical
10.2.24. Organon & Co.
10.2.25. Pfizer
10.2.26. Ranbaxy Laboratories (now Sun Pharma)
10.2.27. Samsung Bioepis
10.2.28. Sandoz
10.2.29. Shanghai CP Guojian Pharmaceutical
10.2.30. Sorrento Therapeutics (partner)
10.2.31. Stada Arzneimittel AG
10.2.32. Sunshine Guojian Pharmaceutical
10.2.33. Synermore
10.2.34. Teva
10.2.35. Torrent Pharmaceuticals
10.2.36. YL Biologics
10.2.37. Zydus Cadila
10.2.38. Other prominent players
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.