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Global Mental Health Clinical Trials Market to reach USD XX billion by the end of 2029.

Global Mental Health Clinical Trials Market Size study & Forecast, by Phase (Phase I, Phase II, Phase III, Phase IV), by Study Design (Interventional, Observational, Expanded Access) by Sponsor (Pharmaceutical & Biopharmaceutical Companies, Government Agencies, Others), by Disorder (Anxiety Disorders, Depression, Bipolar affective disorder, Dissociation and dissociative disorders, Schizophrenia, Others) and Regional Analysis, 2022-2029

Product Code: HLSMD-85537248
Publish Date: 17-04-2023
Page: 200

Global Mental Health Clinical Trials Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. This are the clinics which deals with mental health problems. Throughout the course of the projection period, it is predicted that the global market for mental health clinical trials would expand significantly. The incidence of mental health illnesses, public awareness of mental health conditions, and increased funding from government agencies, businesses, hospitals, and universities are the main reasons driving the market’s expansion. Moreover, rising number of mental illness and initiative by key market players are creating lucrative growth opportunity for the market over the forecast period.

Significant disruptions in thought, behavior, or emotional regulation characterize mental illnesses. According to a recent WHO report, 1 in every 8 people worldwide will have a mental condition in 2022. The two most prevalent mental illnesses, sadness, and anxiety, affected 970 million individuals worldwide in 2019.Worry, excessive fear, and accompanying behavioral abnormalities are hallmarks of anxiety disorders. According to 2019 WHO estimate, 58.0 million of the 301.0 million people with anxiety disorders are children and adolescents. There are numerous varieties of anxiety disorders, including generalized anxiety disorder, panic disorder, and social anxiety disorder. According to a scientific analysis by the WHO, the Covid-19 pandemic increased the prevalence of anxiety and depression globally by 25%. Stress brought on by the pandemic’s social isolation is a significant factor. Depression and anxiety are caused by a variety of fears, including those of illness, pain, loneliness, money worries, and mourning following a loss. However, the high cost of Mental Health Clinical Trials stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Mental Health Clinical Trials Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Due to factors similar to increased R&D spending, supportive government policies, and growth in the use of innovative technologies in clinical trials, North America is predicted to have the largest market share throughout the projection period. Clinicaltrials.org reports that from 2019 to 2021, 52% of all registered clinical trials for depression would be conducted in the region. Also, from 2019 to 2021, the region’s trial percentage will rise from 45.9% to 50.9%. Along with this, Asia-Pacific is growing with the fastest CAGR over the forecast period owing to the rising number of clinical trials.

Major market player included in this report are:
Eli Lilly and Company
Syneous Health
Novo Nordisk AS
Pharmaceutical Product Development, LLC
Parexel International Corporation
Corcept Therapeutics Incorporated (Corcept)
Labcorp Drug Development

Recent Developments in the Market:
Ø In September 2022, the launch of Epic’s Life Sciences division broadens its efforts to reunite the fragmented elements of the healthcare system. The goals of the program is to include facilitating the recruitment of research participants, accelerating the development of novel treatments for providers, and increasing access to clinical trials for underrepresented populations, pharmaceutical firms, and medical device manufacturers.
Global Mental Health Clinical Trials Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Study Design, Sponsor, Disorder, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Study Design offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Phase:
Phase I
Phase II
Phase III
Phase IV
By Study Design:
Expanded Access
By Sponsor:
Pharmaceutical & Biopharmaceutical Companies
Government Agencies
By Disorder:
Anxiety Disorders
Bipolar affective disorder
Dissociation and dissociative disorders

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Mental Health Clinical Trials Market, by Region, 2019-2029 (USD Billion)
1.2.2. Mental Health Clinical Trials Market, by Study Design, 2019-2029 (USD Billion)
1.2.3. Mental Health Clinical Trials Market, by Sponsor, 2019-2029 (USD Billion)
1.2.4. Mental Health Clinical Trials Market, by Disorder, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Mental Health Clinical Trials 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 Mental Health Clinical Trials Market Dynamics
3.1. Mental Health Clinical Trials Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing government funding Growing number of clinical trials
3.1.2. Market Challenges High Cost of Mental Health Clinical Trials
3.1.3. Market Opportunities Rising number of mental illnesses Rising initiatives by the key market players
Chapter 4. Global Mental Health Clinical Trials 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Mental Health Clinical Trials Market, by Phase
6.1. Market Snapshot
6.2. Global Mental Health Clinical Trials Market by Phase, Performance – Potential Analysis
6.3. Global Mental Health Clinical Trials Market Estimates & Forecasts by Phase 2019-2029 (USD Billion)
6.4. Mental Health Clinical Trials Market, Sub Segment Analysis
6.4.1. Phase I
6.4.2. Phase II
6.4.3. Phase III
6.4.4. Phase IV
Chapter 7. Global Mental Health Clinical Trials Market, by Study Design
7.1. Market Snapshot
7.2. Global Mental Health Clinical Trials Market by Study Design, Performance – Potential Analysis
7.3. Global Mental Health Clinical Trials Market Estimates & Forecasts by Study Design 2019-2029 (USD Billion)
7.4. Mental Health Clinical Trials Market, Sub Segment Analysis
7.4.1. Interventional
7.4.2. Observational
7.4.3. Expanded Access
Chapter 8. Global Mental Health Clinical Trials Market, by Sponsor
8.1. Market Snapshot
8.2. Global Mental Health Clinical Trials Market by Sponsor, Performance – Potential Analysis
8.3. Global Mental Health Clinical Trials Market Estimates & Forecasts by Sponsor 2019-2029 (USD Billion)
8.4. Mental Health Clinical Trials Market, Sub Segment Analysis
8.4.1. Pharmaceutical & Biopharmaceutical Companies
8.4.2. Government Agencies
8.4.3. Others
Chapter 9. Global Mental Health Clinical Trials Market, by Disorder
9.1. Market Snapshot
9.2. Global Mental Health Clinical Trials Market by Disorder, Performance – Potential Analysis
9.3. Global Mental Health Clinical Trials Market Estimates & Forecasts by Disorder 2019-2029 (USD Billion)
9.4. Mental Health Clinical Trials Market, Sub Segment Analysis
9.4.1. Anxiety Disorders
9.4.2. Depression
9.4.3. Bipolar affective disorder
9.4.4. Dissociation and dissociative disorders
9.4.5. Schizophrenia
9.4.6. Others
Chapter 10. Global Mental Health Clinical Trials Market, Regional Analysis
10.1. Mental Health Clinical Trials Market, Regional Market Snapshot
10.2. North America Mental Health Clinical Trials Market
10.2.1. U.S. Mental Health Clinical Trials Market Phase breakdown estimates & forecasts, 2019-2029 Study Design breakdown estimates & forecasts, 2019-2029 Sponsor breakdown estimates & forecasts, 2019-2029 Disorder breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Mental Health Clinical Trials Market
10.3. Europe Mental Health Clinical Trials Market Snapshot
10.3.1. U.K. Mental Health Clinical Trials Market
10.3.2. Germany Mental Health Clinical Trials Market
10.3.3. France Mental Health Clinical Trials Market
10.3.4. Spain Mental Health Clinical Trials Market
10.3.5. Italy Mental Health Clinical Trials Market
10.3.6. Rest of Europe Mental Health Clinical Trials Market
10.4. Asia-Pacific Mental Health Clinical Trials Market Snapshot
10.4.1. China Mental Health Clinical Trials Market
10.4.2. India Mental Health Clinical Trials Market
10.4.3. Japan Mental Health Clinical Trials Market
10.4.4. Australia Mental Health Clinical Trials Market
10.4.5. South Korea Mental Health Clinical Trials Market
10.4.6. Rest of Asia Pacific Mental Health Clinical Trials Market
10.5. Latin America Mental Health Clinical Trials Market Snapshot
10.5.1. Brazil Mental Health Clinical Trials Market
10.5.2. Mexico Mental Health Clinical Trials Market
10.6. Rest of The World Mental Health Clinical Trials Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. ICON Plc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Eli Lilly and Company
11.2.3. Caidya
11.2.4. Syneous Health
11.2.5. Novo Nordisk AS
11.2.6. Pharmaceutical Product Development, LLC
11.2.7. Parexel International Corporation
11.2.8. Corcept Therapeutics Incorporated (Corcept)
11.2.9. Labcorp Drug Development
11.2.10. IQVIA, Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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.
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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:
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.
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