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Global Postmenopausal Osteoporosis Treatment Market to reach USD 13.68 billion by the end of 2030.

Global Postmenopausal Osteoporosis Treatment Market Size study & Forecast, by Drug Type (Bisphosphonates, Vitamin D3, Estrogen Agonist/Antagonist, Hormone Replacement Therapy, Parathyroid Hormone Therapy, Others), by Distribution Channel (Hospital Pharmacies, Retail Pharmacies, Others) and Regional Analysis, 2023-2030

Product Code: HLSDT-20817167
Publish Date: 10-06-2023
Page: 200

Global Postmenopausal Osteoporosis Treatment Market is valued approximately at USD 9.12 billion in 2022 and is anticipated to grow with a growth rate of more than 5.2% over the forecast period 2023-2030. Postmenopausal osteoporosis is a condition that occurs in women after menopause, typically in their 50s or 60s. It is a type of osteoporosis that is caused by the decrease in estrogen levels that occurs during menopause. Estrogen is an important hormone for maintaining bone density and when levels drop, bones can become weaker and more brittle, leading to an increased risk of fractures. The Postmenopausal Osteoporosis Treatment market is expanding because of factors such as increasing Prevalence of Osteoporosis and growing geriatric population.

One of the risk factors for poor bone density and the subsequent development of osteoporosis in women after menopause is ageing. Other risk factors include smoking, drinking alcohol, using gonadotropins, thyroid hormone in excess and using other medications used to treat various conditions. According to data from the International Menopause Society (IMS), Osteoporosis has affect more than 200 million women on a global level in 2021, and one in three women over 50 is predicted to have an osteoporosis fracture. The postmenopausal osteoporosis market has grown significantly as a result of the ageing population and lifestyle changes. The older population is more susceptible to osteoporosis, their population growth is anticipated to be a major driving force behind the market’s expansion. In the World Health Organization’s October 2021 report, for instance, it is predicted that the number of adults 60 and older will rise from 1 billion in 2020 to 1.4 billion by 2030 and 2.1 billion by 2050. The need for treatment of postmenopausal osteoporosis in the elderly population is thus expected to rise during the forecast period, leading to market growth. In addition, rising research and development activities and rapid technological development and continuing clinical trials is creating lucrative growth to the market. However, high Cost of Postmenopausal osteoporosis treatment and low awareness about postmenopausal osteoporosis stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Postmenopausal Osteoporosis Treatment Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the dominance of branded treatment and the region’s increasing disease prevalence. Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising geriatric and target populations, an increase in the number of collaborations for treatment development, geographic expansion of key players, and active participation of government and nonprofit organizations in the market space.

Major market player included in this report are:
Teva Pharmaceuticals Industries Ltd.
Pfizer Inc.
Merck & Co.
Novartis AG
Eli Lilly and Company
AbbVie (Allergan plc.)
F. Hoffmann-La Roche Ltd.
Cipla Inc.
Amgen Inc.
Sun Pharmaceutical Industries Ltd

Recent Developments in the Market:
Ø In June 2022, Chugai Pharma China Co., Ltd., a branch of Chugai Pharmaceutical Co., Ltd., launched Edirol (eldecalcitol) in China after receiving permission from the China National Medical Products Administration (NMPA) for the treatment of postmenopausal osteoporosis. Chugai created Edirol, a derivative of active vitamin D3.
Ø In January 2021, The Asia Pacific Consortium on Osteoporosis (APCO) has proposed pan-Asia Pacific clinical practise standards that will primarily target a wide range of high-risk individuals in order to screen, diagnose, and manage osteoporosis. The plan is anticipated to further increase regional awareness, which will aid in the expansion of the Asia-Pacific market.

Global Postmenopausal Osteoporosis Treatment Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Drug Type, Distribution Channel, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Drug Typeofferings of key players. The detailed segments and sub-segment of the market are explained below:

By Drug Type:
Bisphosphonates
Vitamin D3
Estrogen Agonist/Antagonist
Hormone Replacement Therapy
Parathyroid Hormone Therapy
Others

By Distribution Channel:
Hospital Pharmacies
Retail Pharmacies
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Postmenopausal Osteoporosis Treatment Market, by region, 2020-2030 (USD Billion)
1.2.2. Postmenopausal Osteoporosis Treatment Market, by Drug Type, 2020-2030 (USD Billion)
1.2.3. Postmenopausal Osteoporosis Treatment Market, by Distribution Channel, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Postmenopausal Osteoporosis Treatment Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Postmenopausal Osteoporosis Treatment Market Dynamics
3.1. Postmenopausal Osteoporosis Treatment Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing Prevalence of Osteoporosis
3.1.1.2. Growing Geriatric Population
3.1.2. Market Challenges
3.1.2.1. High Cost of Postmenopausal Osteoporosis Treatment
3.1.2.2. Low Awareness About Postmenopausal Osteoporosis
3.1.3. Market Opportunities
3.1.3.1. Rising research and development activities
3.1.3.2. Rapid technological development and continuing clinical trials
Chapter 4. Global Postmenopausal Osteoporosis 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Postmenopausal Osteoporosis Treatment Market, by Drug Type
5.1. Market Snapshot
5.2. Global Postmenopausal Osteoporosis Treatment Market by Drug Type, Performance – Potential Analysis
5.3. Global Postmenopausal Osteoporosis Treatment Market Estimates & Forecasts by Drug Type 2020-2030 (USD Billion)
5.4. Postmenopausal Osteoporosis Treatment Market, Sub Segment Analysis
5.4.1. Bisphosphonates
5.4.2. Vitamin D3
5.4.3. Oestrogen Agonist/Antagonist
5.4.4. Hormone Replacement Therapy
5.4.5. Parathyroid Hormone Therapy
5.4.6. Others
Chapter 6. Global Postmenopausal Osteoporosis Treatment Market, by Distribution Channel
6.1. Market Snapshot
6.2. Global Postmenopausal Osteoporosis Treatment Market by Distribution Channel, Performance – Potential Analysis
6.3. Global Postmenopausal Osteoporosis Treatment Market Estimates & Forecasts by Distribution Channel 2020-2030 (USD Billion)
6.4. Postmenopausal Osteoporosis Treatment Market, Sub Segment Analysis
6.4.1. Hospital Pharmacies
6.4.2. Retail Pharmacies
6.4.3. Others
Chapter 7. Global Postmenopausal Osteoporosis Treatment Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Postmenopausal Osteoporosis Treatment Market, Regional Market Snapshot
7.4. North America Postmenopausal Osteoporosis Treatment Market
7.4.1. U.S. Postmenopausal Osteoporosis Treatment Market
7.4.1.1. Drug Type breakdown estimates & forecasts, 2020-2030
7.4.1.2. Distribution Channel breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Postmenopausal Osteoporosis Treatment Market
7.5. Europe Postmenopausal Osteoporosis Treatment Market Snapshot
7.5.1. U.K. Postmenopausal Osteoporosis Treatment Market
7.5.2. Germany Postmenopausal Osteoporosis Treatment Market
7.5.3. France Postmenopausal Osteoporosis Treatment Market
7.5.4. Spain Postmenopausal Osteoporosis Treatment Market
7.5.5. Italy Postmenopausal Osteoporosis Treatment Market
7.5.6. Rest of Europe Postmenopausal Osteoporosis Treatment Market
7.6. Asia-Pacific Postmenopausal Osteoporosis Treatment Market Snapshot
7.6.1. China Postmenopausal Osteoporosis Treatment Market
7.6.2. India Postmenopausal Osteoporosis Treatment Market
7.6.3. Japan Postmenopausal Osteoporosis Treatment Market
7.6.4. Australia Postmenopausal Osteoporosis Treatment Market
7.6.5. South Korea Postmenopausal Osteoporosis Treatment Market
7.6.6. Rest of Asia Pacific Postmenopausal Osteoporosis Treatment Market
7.7. Latin America Postmenopausal Osteoporosis Treatment Market Snapshot
7.7.1. Brazil Postmenopausal Osteoporosis Treatment Market
7.7.2. Mexico Postmenopausal Osteoporosis Treatment Market
7.8. Middle East & Africa Postmenopausal Osteoporosis Treatment Market
7.8.1. Saudi Arabia Postmenopausal Osteoporosis Treatment Market
7.8.2. South Africa Postmenopausal Osteoporosis Treatment Market
7.8.3. Rest of Middle East & Africa Postmenopausal Osteoporosis Treatment Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Teva Pharmaceuticals Industries Ltd.
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Recent Developments
8.3.2. Pfizer Inc.
8.3.3. Merck & Co.
8.3.4. Novartis AG
8.3.5. Eli Lilly and Company
8.3.6. AbbVie (Allergan plc.)
8.3.7. F. Hoffmann-La Roche Ltd.
8.3.8. Cipla Inc.
8.3.9. Amgen Inc.
8.3.10. Sun Pharmaceutical Industries Ltd

Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

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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:
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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.
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