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The global chronic Granulomatous disease (CGD) management market is expected to garner a market value of US$ 1.31 Billion in 2023 and is expected to accumulate a market value of US$ 2.11 Billion by registering a CAGR of 4.9% in the forecast period 2023 to 2033. Growth of the chronic Granulomatous disease (CGD) management market can be attributed to increasing research and development activities by key players for developing medications. the market for chronic Granulomatous disease (CGD) management registered a CAGR of 3.3% in the historical period 2018 to 2022.
The chronic granulomatous disease is a severe genetic condition that is passed down through the generations. People who suffer from this disease have weakened immune systems, making them subject to chronic inflammation and bacterial and fungal infections. The signs and symptoms of this condition appear in infancy or early childhood.
Report Attribute | Details |
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Expected Market Value (2023) | US$ 1.31 Billion |
Anticipated Forecast Value (2033) | US$ 2.11 Billion |
Projected Growth Rate (2023 to 2033) | 4.9% CAGR |
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According to market research and competitive intelligence provider Future Market Insights- the market for Chronic Granulomatous disease (CGD) management reflected a value of 3.3% during the historical period, 2018 to 2022.
Chronic granulomatous disease or CGD is a kind of disorder under which white blood cells (phagocytes) are unable to kill certain types of bacteria and fungi. It is basically an inherited primary immunodeficiency disease caused by defects in the NADPH oxidase complex resulting in respiratory bursts in phagocytic leukocytes. The patients might develop skin infections, lymph node infections, pneumonia, lung infections, liver infections, gastrointestinal inflammation, or other infections. Thus, with the unique nature of CGD, the development of medications has increased rapidly. In the upcoming years, technological integration and research will boost the market for CGD management market.
Thus, the market for Chronic Granulomatous disease (CGD) management is expected to register a CAGR of 4.9% in the forecast period 2023 to 2033.
Research and development activities boosting the growth of the CGD market
The fact that 1 in 200000 or 250000 people suffer from CGD makes it a rare disease. In addition, the signs and symptoms of this illness differ from person to person. Frequent bacterial and fungal infections, swollen lymph nodes, recurrent diarrhoea, and abscesses involving the liver, lungs, spleen, bones, or skin are some of the most prevalent signs and symptoms.
The market is expected to rise due to factors such as the rising prevalence of rare illnesses, increased healthcare spending in developed economies, and increased research and development activities.
Changing lifestyles along with advancements in technology to innovate medication accelerating market growth
Factors such as the changes adopted in lifestyle and alterations in food habits is further expected to accelerate the overall growth of the chronic granulomatous disease treatment market within the forecast period. Additionally, the growing prevalence of rare diseases in some developing countries and increasing research and development activities boost the overall market’s demand.
Additionally, the advancement in technology and rising government funding for the healthcare sector are to further extend suitable opportunities for the growth of the chronic granulomatous disease treatment market in the near future.
Expensive nature of the treatment along with the lack of awareness hampering the market growth
The unavailability of effective treatments for different types of chronic granulomatous disease along with the high cost associated with treatment and diagnostic tests of chronic granulomatous disease is anticipated to most likely obstruct the growth of the chronic granulomatous disease treatment market in the coming years.
The lack of awareness about the disease in developing and underdeveloped economies can be one of the challenging factors within the forecast period. For example, Genetic testing might cost anything from $100 to $2,000. All these factors are hampering the growth of the CGD market.
Research and development activities create lucrative opportunities for market growth
The North American region is expected to hold the largest market share for the CGD market. This is due to a well-developed healthcare sector, the rising prevalence of rare diseases, the steadily growing occurrence of chronic granulomatous disease (CGD), and a relatively large number of research and development activities in the North American region.
According to a 2017 report published by the National Center for Biotechnology Information (NCBI), CGD affects 1 in 200,000 to 1 in 250,000 births in the United States. This, in turn, has created lucrative opportunities for innovating medication for treating the ailment. Furthermore, increased government support for the healthcare sector in the region is another factor driving the growth of the market. Thus, the North American region is expected to dominate the Chronic Granulomatous Disease by possessing a 45% market share in 2023.
Development of the healthcare sector shaping the landscape for the CGD market
The rising prevalence of rare diseases, as well as increased research and development activities, are driving market growth in this region. According to Eurostat, gross domestic expenditure (GERD) on research and development was EUR 303 billion in 2016.
In addition, increasing government funding for the healthcare sector and increasing research and development activities are changing the landscape for the CGD market. With the strong presence of key players in the region, Europe is expected to hold a 35% market share in 2023.
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Detection of symptoms in early age advancing growth of X-linked CGD
Based on the Type, the market is segmented into X-Linked Chronic Granulomatous Disease and Autosomal Recessive Chronic Granulomatous Disease.
Patients with X-linked CGD often develop infections in their first ten years of life, and around 40% of them die before they reach the age of 35. Males are more likely than females to develop the chronic granulomatous disease. Approximately two-thirds of people in North American and European research had the X-linked recessive type of the disease. CGD is present at birth because it is a hereditary condition.
CGD symptoms normally appear throughout childhood or early adolescence, but they can sometimes be delayed until the early adolescent years. The earliest symptoms have been found to appear in adults in a few cases. The chronic granulomatous disease affects approximately four to five people in every Billion people globally.
Thus, the X-Linked Chronic Granulomatous Disease segment is expected to possess 52% market for the CGD market in 2023.
Trimethoprim exhibiting promising results for treating CBD
Based on the Treatment, the market is segmented into Infection Management, Trimethoprim, Sulfamethoxazole, Itraconazole, Interferon-gamma, Stem cell transplantation, and others. Trimethoprim is expected to hold the largest share of the CGD market in 2023.
Continuous antibiotic medication to help prevent infections, such as trimethoprim for bacterial infections and itraconazole for fungal infections, is used to treat chronic granulomatous illness. Antibiotics are usually required for infections. Corticosteroid medications can also help with granulomatous consequences. In some people with CGD, bone marrow transplants have been shown to be beneficial.
Thus, Trimethoprim is expected to possess a 40% market share for the CGD market in 2023.
Hospitals increasing accessibility for treatment of CBD management market
Based on the end-user, the market is segmented into Hospitals, Clinical laboratories, and Others. The hospital segment is expected to hold the largest market share in 2023.
This is due to the growing number of Chronic Granulomatous Disease patients increasing the treatments of Chronic Granulomatous Disease in hospitals. Hospitals are a significant part of the healthcare industry and a key source of revenue for the overall industry, which stimulates research and innovation.
As a result, a number of firms devote large resources to promoting their products and services among hospitals, both in terms of revenue and marketing tactics. Due to these factors, strategic decisions made in the hospital sector can have an impact on other sectors of the healthcare industry, providing them significant control over contract conditions with suppliers, service providers, and distributors.
These are the key factors that are expected to drive the growth of the hospital segment in the Chronic Granulomatous Disease Market during the forecast period. Thus, hospitals are expected to possess a 40% market share in the CBD management market.
Key players in the chronic Granulomatous disease (CGD) management market are Clinigen Group plc, Orchard Therapeutics plc, Horizon Therapeutics plc, ViroMed. Co. Ltd, Bellicum Pharmaceuticals, Inc, Pfizer Inc, Hoffmann-La Roche Ltd, Novartis AG, Lonza, GlaxoSmithKline plc, Eli Lilly and Company, Johnson & Johnson Services, Inc, Merck KGaA
Report Attribute | Details |
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Market Value in 2023 | US$ 1.31 Billion |
Market Value in 2033 | US$ 2.11 Billion |
Growth Rate | CAGR of 4.9% from 2023 to 2033 |
Base Year for Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in USD Billion and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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Customization | Available Upon Request |
The industry will reach a market value of US$ 1.31 billion in 2023.
The market witnessed 3.3% historically.
North America is likely to generate 45% revenue in 2023.
Europe's market size is expected to hold a 35% share in 2023.
The market is expected to record a 4.9% CAGR until 2033.
1. Executive Summary | Chronic Granulomatous Disease (CGD) Management Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033 5.3.1. X-Linked Chronic Granulomatous Disease 5.3.2. Autosomal Recessive Chronic Granulomatous Disease 5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033 6. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Diagnosis 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Diagnosis, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Diagnosis, 2023 to 2033 6.3.1. Neutrophil Function Tests 6.3.2. Genetic Testing 6.3.3. Prenatal Testing 6.3.4. Others 6.4. Y-o-Y Growth Trend Analysis By Diagnosis, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Diagnosis, 2023 to 2033 7. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Treatment 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Treatment, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Treatment, 2023 to 2033 7.3.1. Infection Management 7.3.2. Trimethoprim 7.3.3. Sulfamethoxazole 7.3.4. Itraconazole 7.3.5. Interferon-gamma 7.3.6. Stem Cell Transplantation 7.3.7. Others 7.4. Y-o-Y Growth Trend Analysis By Treatment, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Treatment, 2023 to 2033 8. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-User 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By End-User, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User, 2023 to 2033 8.3.1. Hospitals 8.3.2. Clinical Laboratory 8.3.3. Homecare 8.3.4. Others 8.4. Y-o-Y Growth Trend Analysis By End-User, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By End-User, 2023 to 2033 9. Global Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. Middle East & Africa (MEA) 9.4. Market Attractiveness Analysis By Region 10. North America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. USA 10.2.1.2. Canada 10.2.2. By Type 10.2.3. By Diagnosis 10.2.4. By Treatment 10.2.5. By End-User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Diagnosis 10.3.4. By Treatment 10.3.5. By End-User 10.4. Key Takeaways 11. Latin America Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Type 11.2.3. By Diagnosis 11.2.4. By Treatment 11.2.5. By End-User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Diagnosis 11.3.4. By Treatment 11.3.5. By End-User 11.4. Key Takeaways 12. Europe Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. US 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Type 12.2.3. By Diagnosis 12.2.4. By Treatment 12.2.5. By End-User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Diagnosis 12.3.4. By Treatment 12.3.5. By End-User 12.4. Key Takeaways 13. South Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Type 13.2.3. By Diagnosis 13.2.4. By Treatment 13.2.5. By End-User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Type 13.3.3. By Diagnosis 13.3.4. By Treatment 13.3.5. By End-User 13.4. Key Takeaways 14. East Asia Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Type 14.2.3. By Diagnosis 14.2.4. By Treatment 14.2.5. By End-User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Type 14.3.3. By Diagnosis 14.3.4. By Treatment 14.3.5. By End-User 14.4. Key Takeaways 15. Oceania Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. Australia 15.2.1.2. New Zealand 15.2.2. By Type 15.2.3. By Diagnosis 15.2.4. By Treatment 15.2.5. By End-User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Type 15.3.3. By Diagnosis 15.3.4. By Treatment 15.3.5. By End-User 15.4. Key Takeaways 16. MEA Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Type 16.2.3. By Diagnosis 16.2.4. By Treatment 16.2.5. By End-User 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Type 16.3.3. By Diagnosis 16.3.4. By Treatment 16.3.5. By End-User 16.4. Key Takeaways 17. Key Countries Analysis 17.1. USA 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Type 17.1.2.2. By Diagnosis 17.1.2.3. By Treatment 17.1.2.4. By End-User 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Type 17.2.2.2. By Diagnosis 17.2.2.3. By Treatment 17.2.2.4. By End-User 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Type 17.3.2.2. By Diagnosis 17.3.2.3. By Treatment 17.3.2.4. By End-User 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Type 17.4.2.2. By Diagnosis 17.4.2.3. By Treatment 17.4.2.4. By End-User 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Type 17.5.2.2. By Diagnosis 17.5.2.3. By Treatment 17.5.2.4. By End-User 17.6. UK 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Type 17.6.2.2. By Diagnosis 17.6.2.3. By Treatment 17.6.2.4. By End-User 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Type 17.7.2.2. By Diagnosis 17.7.2.3. By Treatment 17.7.2.4. By End-User 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Type 17.8.2.2. By Diagnosis 17.8.2.3. By Treatment 17.8.2.4. By End-User 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Type 17.9.2.2. By Diagnosis 17.9.2.3. By Treatment 17.9.2.4. By End-User 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Type 17.10.2.2. By Diagnosis 17.10.2.3. By Treatment 17.10.2.4. By End-User 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Type 17.11.2.2. By Diagnosis 17.11.2.3. By Treatment 17.11.2.4. By End-User 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Type 17.12.2.2. By Diagnosis 17.12.2.3. By Treatment 17.12.2.4. By End-User 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Type 17.13.2.2. By Diagnosis 17.13.2.3. By Treatment 17.13.2.4. By End-User 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Type 17.14.2.2. By Diagnosis 17.14.2.3. By Treatment 17.14.2.4. By End-User 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Type 17.15.2.2. By Diagnosis 17.15.2.3. By Treatment 17.15.2.4. By End-User 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Type 17.16.2.2. By Diagnosis 17.16.2.3. By Treatment 17.16.2.4. By End-User 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Type 17.17.2.2. By Diagnosis 17.17.2.3. By Treatment 17.17.2.4. By End-User 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Type 17.18.2.2. By Diagnosis 17.18.2.3. By Treatment 17.18.2.4. By End-User 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Type 17.19.2.2. By Diagnosis 17.19.2.3. By Treatment 17.19.2.4. By End-User 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Type 17.20.2.2. By Diagnosis 17.20.2.3. By Treatment 17.20.2.4. By End-User 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Type 17.21.2.2. By Diagnosis 17.21.2.3. By Treatment 17.21.2.4. By End-User 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Type 18.3.3. By Diagnosis 18.3.4. By Treatment 18.3.5. By End-User 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Clinigen Group plc 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Orchard Therapeutics plc2032 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Horizon Therapeutics plc 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. ViroMed. Co. Ltd 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Bellicum Pharmaceuticals, Inc. 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Pfizer Inc. 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. F. Hoffmann-La Roche Ltd 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Novartis AG 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Lonza 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. GlaxoSmithKline plc. 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. Eli Lilly and Company 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. Johnson & Johnson Services, Inc. 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. Merck KGaA 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Table 1: Global Value (US$ Million) Forecast by Region, 2018 to 2033 Table 2: Global Value (US$ Million) Forecast by Type, 2018 to 2033 Table 3: Global Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 4: Global Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 5: Global Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 6: North America Value (US$ Million) Forecast by Country, 2018 to 2033 Table 7: North America Value (US$ Million) Forecast by Type, 2018 to 2033 Table 8: North America Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 9: North America Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 10: North America Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 11: Latin America Value (US$ Million) Forecast by Country, 2018 to 2033 Table 12: Latin America Value (US$ Million) Forecast by Type, 2018 to 2033 Table 13: Latin America Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 14: Latin America Value (US$ Million) Forecast by Treatment+, 2018 to 2033 Table 15: Latin America Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 16: Europe Value (US$ Million) Forecast by Country, 2018 to 2033 Table 17: Europe Value (US$ Million) Forecast by Type, 2018 to 2033 Table 18: Europe Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 19: Europe Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 20: Europe Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 21: South Asia Value (US$ Million) Forecast by Country, 2018 to 2033 Table 22: South Asia Value (US$ Million) Forecast by Type, 2018 to 2033 Table 23: South Asia Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 24: South Asia Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 25: South Asia Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 26: East Asia Value (US$ Million) Forecast by Country, 2018 to 2033 Table 27: East Asia Value (US$ Million) Forecast by Type, 2018 to 2033 Table 28: East Asia Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 29: East Asia Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 30: East Asia Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 31: Oceania Value (US$ Million) Forecast by Country, 2018 to 2033 Table 32: Oceania Value (US$ Million) Forecast by Type, 2018 to 2033 Table 33: Oceania Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 34: Oceania Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 35: Oceania Value (US$ Million) Forecast by End-User, 2018 to 2033 Table 36: MEA Value (US$ Million) Forecast by Country, 2018 to 2033 Table 37: MEA Value (US$ Million) Forecast by Type, 2018 to 2033 Table 38: MEA Value (US$ Million) Forecast by Diagnosis, 2018 to 2033 Table 39: MEA Value (US$ Million) Forecast by Treatment, 2018 to 2033 Table 40: MEA Value (US$ Million) Forecast by End-User, 2018 to 2033
Figure 1: Global Value (US$ Million) by Type, 2023 to 2033 Figure 2: Global Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 3: Global Value (US$ Million) by Treatment, 2023 to 2033 Figure 4: Global Value (US$ Million) by End-User, 2023 to 2033 Figure 5: Global Value (US$ Million) by Region, 2023 to 2033 Figure 6: Global Value (US$ Million) Analysis by Region, 2018 to 2033 Figure 7: Global Value Share (%) and BPS Analysis by Region, 2023 to 2033 Figure 8: Global Y-o-Y Growth (%) Projections by Region, 2023 to 2033 Figure 9: Global Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 10: Global Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 11: Global Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 12: Global Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 13: Global Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 14: Global Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 15: Global Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 16: Global Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 17: Global Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 18: Global Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 19: Global Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 20: Global Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 21: Global Attractiveness by Type, 2023 to 2033 Figure 22: Global Attractiveness by Diagnosis, 2023 to 2033 Figure 23: Global Attractiveness by Treatment, 2023 to 2033 Figure 24: Global Attractiveness by End-User, 2023 to 2033 Figure 25: Global Attractiveness by Region, 2023 to 2033 Figure 26: North America Value (US$ Million) by Type, 2023 to 2033 Figure 27: North America Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 28: North America Value (US$ Million) by Treatment, 2023 to 2033 Figure 29: North America Value (US$ Million) by End-User, 2023 to 2033 Figure 30: North America Value (US$ Million) by Country, 2023 to 2033 Figure 31: North America Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 32: North America Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 33: North America Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 34: North America Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 35: North America Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 36: North America Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 37: North America Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 38: North America Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 39: North America Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 40: North America Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 41: North America Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 42: North America Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 43: North America Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 44: North America Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 45: North America Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 46: North America Attractiveness by Type, 2023 to 2033 Figure 47: North America Attractiveness by Diagnosis, 2023 to 2033 Figure 48: North America Attractiveness by Treatment, 2023 to 2033 Figure 49: North America Attractiveness by End-User, 2023 to 2033 Figure 50: North America Attractiveness by Country, 2023 to 2033 Figure 51: Latin America Value (US$ Million) by Type, 2023 to 2033 Figure 52: Latin America Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 53: Latin America Value (US$ Million) by Treatment, 2023 to 2033 Figure 54: Latin America Value (US$ Million) by End-User, 2023 to 2033 Figure 55: Latin America Value (US$ Million) by Country, 2023 to 2033 Figure 56: Latin America Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 57: Latin America Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 58: Latin America Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 59: Latin America Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 60: Latin America Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 61: Latin America Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 62: Latin America Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 63: Latin America Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 64: Latin America Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 65: Latin America Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 66: Latin America Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 67: Latin America Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 68: Latin America Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 69: Latin America Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 70: Latin America Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 71: Latin America Attractiveness by Type, 2023 to 2033 Figure 72: Latin America Attractiveness by Diagnosis, 2023 to 2033 Figure 73: Latin America Attractiveness by Treatment, 2023 to 2033 Figure 74: Latin America Attractiveness by End-User, 2023 to 2033 Figure 75: Latin America Attractiveness by Country, 2023 to 2033 Figure 76: Europe Value (US$ Million) by Type, 2023 to 2033 Figure 77: Europe Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 78: Europe Value (US$ Million) by Treatment, 2023 to 2033 Figure 79: Europe Value (US$ Million) by End-User, 2023 to 2033 Figure 80: Europe Value (US$ Million) by Country, 2023 to 2033 Figure 81: Europe Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 82: Europe Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 83: Europe Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 84: Europe Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 85: Europe Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 86: Europe Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 87: Europe Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 88: Europe Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 89: Europe Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 90: Europe Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 91: Europe Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 92: Europe Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 93: Europe Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 94: Europe Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 95: Europe Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 96: Europe Attractiveness by Type, 2023 to 2033 Figure 97: Europe Attractiveness by Diagnosis, 2023 to 2033 Figure 98: Europe Attractiveness by Treatment, 2023 to 2033 Figure 99: Europe Attractiveness by End-User, 2023 to 2033 Figure 100: Europe Attractiveness by Country, 2023 to 2033 Figure 101: South Asia Value (US$ Million) by Type, 2023 to 2033 Figure 102: South Asia Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 103: South Asia Value (US$ Million) by Treatment, 2023 to 2033 Figure 104: South Asia Value (US$ Million) by End-User, 2023 to 2033 Figure 105: South Asia Value (US$ Million) by Country, 2023 to 2033 Figure 106: South Asia Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 107: South Asia Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 108: South Asia Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 109: South Asia Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 110: South Asia Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 111: South Asia Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 112: South Asia Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 113: South Asia Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 114: South Asia Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 115: South Asia Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 116: South Asia Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 117: South Asia Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 118: South Asia Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 119: South Asia Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 120: South Asia Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 121: South Asia Attractiveness by Type, 2023 to 2033 Figure 122: South Asia Attractiveness by Diagnosis, 2023 to 2033 Figure 123: South Asia Attractiveness by Treatment, 2023 to 2033 Figure 124: South Asia Attractiveness by End-User, 2023 to 2033 Figure 125: South Asia Attractiveness by Country, 2023 to 2033 Figure 126: East Asia Value (US$ Million) by Type, 2023 to 2033 Figure 127: East Asia Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 128: East Asia Value (US$ Million) by Treatment, 2023 to 2033 Figure 129: East Asia Value (US$ Million) by End-User, 2023 to 2033 Figure 130: East Asia Value (US$ Million) by Country, 2023 to 2033 Figure 131: East Asia Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 132: East Asia Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 133: East Asia Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 134: East Asia Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 135: East Asia Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 136: East Asia Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 137: East Asia Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 138: East Asia Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 139: East Asia Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 140: East Asia Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 141: East Asia Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 142: East Asia Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 143: East Asia Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 144: East Asia Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 145: East Asia Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 146: East Asia Attractiveness by Type, 2023 to 2033 Figure 147: East Asia Attractiveness by Diagnosis, 2023 to 2033 Figure 148: East Asia Attractiveness by Treatment, 2023 to 2033 Figure 149: East Asia Attractiveness by End-User, 2023 to 2033 Figure 150: East Asia Attractiveness by Country, 2023 to 2033 Figure 151: Oceania Value (US$ Million) by Type, 2023 to 2033 Figure 152: Oceania Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 153: Oceania Value (US$ Million) by Treatment, 2023 to 2033 Figure 154: Oceania Value (US$ Million) by End-User, 2023 to 2033 Figure 155: Oceania Value (US$ Million) by Country, 2023 to 2033 Figure 156: Oceania Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 157: Oceania Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 158: Oceania Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 159: Oceania Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 160: Oceania Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 161: Oceania Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 162: Oceania Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 163: Oceania Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 164: Oceania Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 165: Oceania Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 166: Oceania Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 167: Oceania Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 168: Oceania Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 169: Oceania Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 170: Oceania Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 171: Oceania Attractiveness by Type, 2023 to 2033 Figure 172: Oceania Attractiveness by Diagnosis, 2023 to 2033 Figure 173: Oceania Attractiveness by Treatment, 2023 to 2033 Figure 174: Oceania Attractiveness by End-User, 2023 to 2033 Figure 175: Oceania Attractiveness by Country, 2023 to 2033 Figure 176: MEA Value (US$ Million) by Type, 2023 to 2033 Figure 177: MEA Value (US$ Million) by Diagnosis, 2023 to 2033 Figure 178: MEA Value (US$ Million) by Treatment, 2023 to 2033 Figure 179: MEA Value (US$ Million) by End-User, 2023 to 2033 Figure 180: MEA Value (US$ Million) by Country, 2023 to 2033 Figure 181: MEA Value (US$ Million) Analysis by Country, 2018 to 2033 Figure 182: MEA Value Share (%) and BPS Analysis by Country, 2023 to 2033 Figure 183: MEA Y-o-Y Growth (%) Projections by Country, 2023 to 2033 Figure 184: MEA Value (US$ Million) Analysis by Type, 2018 to 2033 Figure 185: MEA Value Share (%) and BPS Analysis by Type, 2023 to 2033 Figure 186: MEA Y-o-Y Growth (%) Projections by Type, 2023 to 2033 Figure 187: MEA Value (US$ Million) Analysis by Diagnosis, 2018 to 2033 Figure 188: MEA Value Share (%) and BPS Analysis by Diagnosis, 2023 to 2033 Figure 189: MEA Y-o-Y Growth (%) Projections by Diagnosis, 2023 to 2033 Figure 190: MEA Value (US$ Million) Analysis by Treatment, 2018 to 2033 Figure 191: MEA Value Share (%) and BPS Analysis by Treatment, 2023 to 2033 Figure 192: MEA Y-o-Y Growth (%) Projections by Treatment, 2023 to 2033 Figure 193: MEA Value (US$ Million) Analysis by End-User, 2018 to 2033 Figure 194: MEA Value Share (%) and BPS Analysis by End-User, 2023 to 2033 Figure 195: MEA Y-o-Y Growth (%) Projections by End-User, 2023 to 2033 Figure 196: MEA Attractiveness by Type, 2023 to 2033 Figure 197: MEA Attractiveness by Diagnosis, 2023 to 2033 Figure 198: MEA Attractiveness by Treatment, 2023 to 2033 Figure 199: MEA Attractiveness by End-User, 2023 to 2033 Figure 200: MEA Attractiveness by Country, 2023 to 2033
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