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Global Systemic Scleroderma Treatment Market to reach USD 1.92 billion by 2027.

Global Systemic Scleroderma Treatment Market Size study, by Drug Class (Immunosuppressors, Phosphodiesterase 5 inhibitors – PHA, Endothelin Receptor Antagonists, Prostacyclin Analogues, Calcium Channel Blockers and Others), and Regional Forecasts 2021-2027

Product Code: HLSMD-70767350
Publish Date: 17-07-2021
Page: 200

Global Systemic Scleroderma Treatment Market is valued approximately at USD 1.46 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 4% over the forecast period 2021-2027. Systemic scleroderma is an autoimmune disorder that affects the skin and internal organs and occurs when immune system malfunctions and starts attacking body’s own tissue and organs. Growing prevalence of systemic scleroderma is increasing the demand for therapies used to treat the symptoms and grant of supplemental approvals for existing treatment options along with the therapies that are under development are growing the demand in the market. For instance, in September 2020, U.S. FDA assigned, Orphan Drug Designation to Kadmon Holdings Inc. for its novel drug candidate, Belumosudil (KD025), which is developed for the treatment of systemic sclerosis. Similarly, in 2019, Boehringer Ingelheim International GmbH’s product – Ofev (nintedanib) – got approval from U.S. FDA for treatment of patients with Systemic Sclerosis with Interstitial Lung Disease (SSc-ILD). Furthermore, growing focus of biotechnology industries towards developing new therapies for the treatment of systemic scleroderma is expected to fuel the demand in coming years. However, lack of validated results and failure of clinical trials are expected to curb the growth during forecast period.

Among Asia Pacific, North America, Europe, Latin America, and Rest of the World, North America is the significant region across the world in terms of market share due to rising prevalence of systemic scleroderma in the region. Whereas Europe is anticipated to exhibit the highest growth rate over the forecast period 2021-2027, due to higher usage of generics and biosimilars for off-label systemic scleroderma therapy.
Major market player included in this report are:

Boehringer Ingelheim International GmbH
Gilead Sciences Inc.
GlaxoSmithKline plc
Novartis AG
Pfizer Inc.
Hoffmann La Roche Ltd.
Johnson & Johnson Services, Inc.
United Therapeutics
Eli Lilly and Company
Mylan N.V.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Drug Class:
Phosphodiesterase 5 inhibitors – PHA
Endothelin Receptor Antagonists
Prostacyclin Analogues
Calcium Channel Blockers

By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Systemic Scleroderma Treatment Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Systemic Scleroderma Treatment Market, by Region, 2019-2027 (USD Billion)
1.2.2. Systemic Scleroderma Treatment Market, by Drug Class, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Systemic Scleroderma Treatment Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Systemic Scleroderma Treatment Market Dynamics
3.1. Systemic Scleroderma Treatment Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Rising prevalence of systemic scleroderma Grant of supplemental approvals to pharmaceutical companies
3.1.2. Market Restraint Lack of validated results Failure of clinical trials
3.1.3. Market Opportunities Rising focus of biotechnology industry towards development of new therapies
Chapter 4. Global Systemic Scleroderma Treatment Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Systemic Scleroderma Treatment Market, by Drug Class
5.1. Market Snapshot
5.2. Global Systemic Scleroderma Treatment Market by Drug Class, Performance – Potential Analysis
5.3. Global Systemic Scleroderma Treatment Market Estimates & Forecasts by Drug Class 2018-2027 (USD Billion)
5.4. Systemic Scleroderma Treatment Market, Sub Segment Analysis
5.4.1. Immunosuppressors
5.4.2. Phosphodiesterase 5 inhibitors – PHA
5.4.3. Endothelin Receptor Antagonists
5.4.4. Prostacyclin Analogues
5.4.5. Calcium Channel Blockers
5.4.6. Others
Chapter 6. Global Systemic Scleroderma Treatment Market, Regional Analysis
6.1. Systemic Scleroderma Treatment Market, Regional Market Snapshot
6.2. North America Systemic Scleroderma Treatment Market
6.2.1. U.S. Systemic Scleroderma Treatment Market Drug Class breakdown estimates & forecasts, 2018-2027
6.2.2. Canada Systemic Scleroderma Treatment Market
6.3. Europe Systemic Scleroderma Treatment Market Snapshot
6.3.1. U.K. Systemic Scleroderma Treatment Market
6.3.2. Germany Systemic Scleroderma Treatment Market
6.3.3. France Systemic Scleroderma Treatment Market
6.3.4. Spain Systemic Scleroderma Treatment Market
6.3.5. Italy Systemic Scleroderma Treatment Market
6.3.6. Rest of Europe Systemic Scleroderma Treatment Market
6.4. Asia-Pacific Systemic Scleroderma Treatment Market Snapshot
6.4.1. China Systemic Scleroderma Treatment Market
6.4.2. India Systemic Scleroderma Treatment Market
6.4.3. Japan Systemic Scleroderma Treatment Market
6.4.4. Australia Systemic Scleroderma Treatment Market
6.4.5. South Korea Systemic Scleroderma Treatment Market
6.4.6. Rest of Asia Pacific Systemic Scleroderma Treatment Market
6.5. Latin America Systemic Scleroderma Treatment Market Snapshot
6.5.1. Brazil Systemic Scleroderma Treatment Market
6.5.2. Mexico Systemic Scleroderma Treatment Market
6.6. Rest of The World Systemic Scleroderma Treatment Market
Chapter 7. Competitive Intelligence
7.1. Top Market Strategies
7.2. Company Profiles
7.2.1. Boehringer Ingelheim International GmbH Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
7.2.2. Gilead Sciences Inc.
7.2.3. GlaxoSmithKline plc
7.2.4. Novartis AG
7.2.5. Pfizer Inc.
7.2.6. Hoffmann La Roche Ltd.
7.2.7. Johnson & Johnson Services, Inc.
7.2.8. United Therapeutics
7.2.9. Eli Lilly and Company
7.2.10. Mylan N.V.

Chapter 8. Research Process
8.1. Research Process
8.1.1. Data Mining
8.1.2. Analysis
8.1.3. Market Estimation
8.1.4. Validation
8.1.5. Publishing
8.2. Research Attributes
8.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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