항기생충제 시장 : 세계 시장 예측(2026-2032년)

The Antiparasitic Drugs Market is projected to grow by USD 30.98 billion at a CAGR of 4.88% by 2032.

Antiparasitic drugs remain a critical pillar of global infectious disease control, spanning antimalarials, anthelmintics, antiprotozoals, ectoparasiticides, and therapies for neglected tropical diseases. Demand is shaped by persistent parasitic disease burdens, expanding travel and migration, climate-sensitive vector ecology, antimicrobial and antiparasitic resistance, veterinary-to-human health linkages, and public health campaigns focused on prevention, diagnosis, and treatment access. The category is strategically important because parasitic infections affect both high-burden endemic settings and advanced healthcare systems managing imported infections, immunocompromised patients, and resistance surveillance. Key priorities across the antiparasitic drugs landscape include improving treatment efficacy, reducing toxicity, simplifying dosing, expanding pediatric and pregnancy-appropriate options, strengthening pharmacovigilance, and ensuring resilient supply chains for essential medicines. Policy frameworks from global health agencies, national malaria programs, deworming initiatives, and neglected tropical disease roadmaps continue to guide procurement, access, and rational use. As stakeholders address evolving parasite biology and health system constraints, the competitive focus is shifting toward differentiated formulations, combination regimens, diagnostics-linked prescribing, and equitable access models that support measurable public health outcomes.

Transformative Shifts in the Antiparasitic Drugs Landscape

The antiparasitic drugs landscape is being reshaped by resistance management, integrated disease control, and greater alignment between human, animal, and environmental health. Artemisinin partial resistance in malaria-endemic regions, resistance concerns in helminth control programs, and reduced susceptibility patterns in several protozoal infections are increasing the need for robust surveillance, combination therapy strategies, and stewardship-focused prescribing. At the same time, mass drug administration programs for soil-transmitted helminths, schistosomiasis, lymphatic filariasis, and onchocerciasis continue to influence medicine selection, procurement requirements, and pharmacovigilance standards. Diagnostic transformation is also changing treatment pathways, as rapid tests, molecular assays, and point-of-care tools improve case confirmation and reduce inappropriate use. Climate variability, urbanization, deforestation, and changing mosquito and tick habitats are expanding the geographic relevance of vector-borne parasitic infections, including malaria, leishmaniasis, Chagas disease, babesiosis, and other emerging threats. Regulatory expectations are becoming more evidence-intensive, with emphasis on quality-assured manufacturing, bioequivalence, pediatric dosing, safety in vulnerable populations, and post-marketing monitoring. These shifts are creating opportunities for therapies that are easier to administer, compatible with public health distribution, effective against resistant strains, and supported by reliable diagnostic and surveillance ecosystems.

Cumulative Impact of Artificial Intelligence on Antiparasitic Drugs

Artificial intelligence is increasingly influencing antiparasitic drug discovery, development, surveillance, and access planning. AI-enabled molecular screening can accelerate identification of novel antiparasitic targets, optimize lead compounds, and support repurposing of existing medicines against diseases such as malaria, leishmaniasis, Chagas disease, schistosomiasis, and other neglected tropical diseases. Machine learning models are being applied to parasite genomics, resistance markers, and pharmacological datasets to improve understanding of treatment failure patterns and inform next-generation combination strategies. In clinical and public health settings, AI-supported image analysis is improving parasite detection in microscopy workflows, while predictive analytics can help map transmission risk by integrating climate, mobility, vector, and health system data. These capabilities are especially relevant for early warning systems in malaria elimination settings and for targeting interventions in regions affected by neglected tropical diseases. AI also supports pharmacovigilance by detecting safety signals from real-world data and improving supply planning for essential antiparasitic medicines. However, the impact of artificial intelligence depends on high-quality datasets, representative disease burden information, transparent model validation, privacy safeguards, and equitable deployment in low-resource settings. Industry leaders that combine AI with field epidemiology, regulatory-grade evidence, and local implementation partnerships are better positioned to improve antiparasitic innovation and treatment access.

Key Regional Insights Across Antiparasitic Drug Demand

Asia-Pacific remains central to the antiparasitic drugs landscape due to large populations exposed to malaria, soil-transmitted helminths, lymphatic filariasis, dengue-associated diagnostic complexity, and foodborne parasitic infections, with Southeast Asia also playing a key role in resistance surveillance for malaria therapies. North America is shaped by imported parasitic infections, travel medicine, immunocompromised patient management, tick-borne parasitic disease monitoring, veterinary parasite control, and public health attention to diseases such as Chagas disease in at-risk populations. Latin America carries significant relevance for Chagas disease, leishmaniasis, malaria transmission in selected areas, and strong public health engagement in vector control and screening, particularly where migration and rural exposure influence diagnosis and care. Europe is characterized by stringent regulatory oversight, imported infection management, migrant health programs, and surveillance of emerging vector-borne risks as climate conditions affect vector distribution. The Middle East presents a mixed profile, with leishmaniasis, imported malaria, travel-related parasitic infections, and mass gathering health preparedness influencing demand for diagnostics and therapies. Africa remains the highest-priority region for many antiparasitic interventions because of the substantial burden of malaria, schistosomiasis, lymphatic filariasis, onchocerciasis, soil-transmitted helminths, and other neglected tropical diseases, making access to quality-assured medicines, community-based delivery, and resistance monitoring essential to disease control outcomes.

Key Group Insights Shaping Antiparasitic Drug Priorities

ASEAN countries are strategically important for antiparasitic drugs because they combine high population mobility, tropical transmission conditions, malaria elimination goals, helminth control programs, and historical evidence of antimalarial resistance emergence in parts of the Greater Mekong Subregion. The GCC is influenced by imported infections, expatriate workforce health, travel medicine, pilgrimage-related preparedness, and public health screening programs, creating a focus on diagnosis, access, and rapid treatment pathways. The European Union emphasizes regulatory harmonization, pharmacovigilance, antimicrobial stewardship principles, cross-border surveillance, migrant health, and research support for neglected tropical diseases, making evidence quality and safety monitoring central to adoption. BRICS countries collectively represent diverse antiparasitic priorities, including malaria and helminth control in endemic areas, Chagas disease and leishmaniasis programs, large-scale manufacturing capabilities, and expanding investment in domestic pharmaceutical capacity. G7 countries are major contributors to global health financing, research infrastructure, regulatory science, and imported disease management, supporting innovation in diagnostics, medicines, and surveillance. NATO members, while not a healthcare market grouping, maintain relevance through military medicine, deployment health, travel-related infection prevention, and readiness planning for personnel operating in parasite-endemic environments, where prophylaxis, treatment protocols, and supply reliability are operational priorities.

Key Country Insights for Antiparasitic Drug Strategy

The United States focuses on travel-related parasitic infections, Chagas disease awareness, tick-borne disease surveillance, and access to therapies for rare or imported conditions, while Canada shares similar priorities with additional emphasis on migrant health, northern and indigenous health considerations, and travel medicine. Mexico and Brazil are highly relevant in Latin America because of Chagas disease, leishmaniasis, malaria in selected regions, and vector control programs, with Brazil also maintaining extensive public health infrastructure for neglected tropical disease surveillance. The United Kingdom, Germany, France, Italy, and Spain are shaped by imported parasitic infections, migrant health, tropical medicine expertise, and strict regulatory and reimbursement expectations, while southern European countries face increasing attention to vector-borne risks linked to changing climate and travel patterns. Russia presents a distinct profile involving regional parasitic disease surveillance, imported infections, and veterinary-linked parasitic risks. China and India are pivotal due to large populations, domestic pharmaceutical manufacturing capacity, malaria elimination progress, helminth control efforts, and significant research and public health activity; India also remains central to mass drug administration and neglected tropical disease programs. Japan and South Korea emphasize high regulatory standards, travel medicine, imported infection preparedness, and advanced diagnostics, while Australia combines travel-related care with regional engagement in Asia-Pacific disease control and surveillance of parasitic risks relevant to tropical and remote communities.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize resistance-aware innovation by investing in novel mechanisms of action, validated combination regimens, and surveillance-linked development strategies. Portfolio planning should address unmet needs in pediatric, pregnancy-compatible, immunocompromised, and low-resource populations while improving tolerability, dosing simplicity, heat stability, and adherence. Strengthening diagnostic partnerships is essential because test-and-treat models can improve appropriate prescribing and reduce unnecessary drug exposure. Manufacturers and distributors should improve supply resilience for essential antiparasitic medicines by diversifying sourcing, maintaining quality-assured production, and aligning with public health procurement standards. Regulatory strategy should incorporate global evidence expectations, local endemicity data, pharmacovigilance systems, and real-world safety monitoring. Partnerships with public health agencies, academic networks, and community health programs can improve access and implementation in endemic regions. Leaders should also use AI and data analytics responsibly to support drug discovery, risk mapping, demand planning, and safety surveillance, while ensuring models are transparent, validated, and representative of populations most affected by parasitic diseases.

Research Methodology

This executive summary is developed through a structured secondary research methodology focused on verified, data-backed public health and pharmaceutical intelligence. The analysis draws on authoritative sources such as international health agencies, national disease control programs, peer-reviewed journals, regulatory guidance, essential medicines frameworks, pharmacovigilance references, and recognized infectious disease surveillance publications. Evidence is assessed across disease burden, treatment guidelines, resistance patterns, regulatory priorities, public health procurement, diagnostic adoption, and regional epidemiology. Qualitative synthesis is used to identify strategic themes without presenting market sizing, market share, market estimation, or forecasting. Regional, group, and country insights are organized around epidemiological relevance, healthcare system priorities, access dynamics, and policy alignment. The methodology emphasizes source triangulation, recency, clinical relevance, and consistency across public health datasets and regulatory documentation. Where disease dynamics vary by locality, insights are presented in a directional and contextual manner to avoid unsupported generalization.

Conclusion

The antiparasitic drugs landscape is entering a more complex and strategically significant phase as resistance, climate-sensitive transmission, migration, diagnostic modernization, and public health access goals reshape treatment priorities. Sustainable progress depends on medicines that are effective, safe, affordable, quality-assured, and supported by surveillance systems capable of detecting resistance and guiding rational use. Regional needs differ substantially, from malaria and neglected tropical disease control in high-burden settings to imported infection management and emerging vector surveillance in advanced healthcare systems. Artificial intelligence, improved diagnostics, and integrated One Health approaches can accelerate innovation, but their value depends on strong data quality, regulatory-grade validation, and equitable deployment. Organizations that align product development, access strategy, quality systems, and public health partnerships will be best positioned to address the evolving global burden of parasitic diseases while supporting measurable improvements in treatment outcomes and disease control.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. New Revenue Opportunities
• 3.5. Next-Generation Business Models
• 3.6. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Antiparasitic Drugs Market, by Drug Class

• 7.1. Introduction
• 7.2. Benzimidazoles
  • 7.2.1. Albendazole
  • 7.2.2. Fenbendazole
  • 7.2.3. Mebendazole
  • 7.2.4. Oxibendazole
  • 7.2.5. Thiabendazole
• 7.3. Macrocyclic Lactones
  • 7.3.1. Abamectin
  • 7.3.2. Doramectin
  • 7.3.3. Eprinomectin
  • 7.3.4. Ivermectin

8. Antiparasitic Drugs Market, by Veterinary

• 8.1. Introduction
• 8.2. Aquaculture
  • 8.2.1. Fish
  • 8.2.2. Shrimp
• 8.3. Companion Animals
  • 8.3.1. Canine
  • 8.3.2. Feline
• 8.4. Livestock
  • 8.4.1. Cattle
  • 8.4.2. Poultry
  • 8.4.3. Swine

9. Antiparasitic Drugs Market, by Dosage Form

• 9.1. Introduction
• 9.2. Tablets
• 9.3. Capsules
• 9.4. Suspensions
• 9.5. Syrups
• 9.6. Injectable Solutions
• 9.7. Creams & Ointments
• 9.8. Lotions
• 9.9. Powders

10. Antiparasitic Drugs Market, by Spectrum of Activity

• 10.1. Introduction
• 10.2. Broad-spectrum antiparasitics
• 10.3. Narrow-spectrum antiparasitics

11. Antiparasitic Drugs Market, by Route of Administration

• 11.1. Introduction
• 11.2. Oral
• 11.3. Injectable

12. Antiparasitic Drugs Market, by Region

• 12.1. Asia-Pacific
• 12.2. North America
• 12.3. Latin America
• 12.4. Europe
• 12.5. Middle East
• 12.6. Africa

13. Antiparasitic Drugs Market, by Group

• 13.1. ASEAN
• 13.2. GCC
• 13.3. European Union
• 13.4. BRICS
• 13.5. G7
• 13.6. NATO

14. Antiparasitic Drugs Market, by Country

• 14.1. United States
• 14.2. Canada
• 14.3. Mexico
• 14.4. Brazil
• 14.5. United Kingdom
• 14.6. Germany
• 14.7. France
• 14.8. Russia
• 14.9. Italy
• 14.10. Spain
• 14.11. China
• 14.12. India
• 14.13. Japan
• 14.14. Australia
• 14.15. South Korea

15. Competitive Landscape

• 15.1. Market Share Analysis, 2025
• 15.2. FPNV Positioning Matrix, 2025
• 15.3. Market Concentration Analysis, 2025
  • 15.3.1. Concentration Ratio (CR)
  • 15.3.2. Herfindahl Hirschman Index (HHI)
• 15.4. Recent Developments & Impact Analysis, 2025
• 15.5. Product Portfolio Analysis, 2025
• 15.6. Benchmarking Analysis, 2025

16. Company Profiles

• 16.1. Adva Care Pharma
• 16.2. Algen Healthcare Ltd.
• 16.3. Amneal Pharmaceuticals LLC
• 16.4. Bayer AG
• 16.5. Ben Pharmaceuticals
• 16.6. Centurion Laboratories Private Limited
• 16.7. Cipla Ltd.
• 16.8. Consern Pharma Limited
• 16.9. Dr.Reddys Laboratories Inc.
• 16.10. F. Hoffmann-La Roche AG
• 16.11. Fredun Group
• 16.12. Garcia Life Sciences
• 16.13. Glaxosmithkline PLC
• 16.14. Healthy Life Pharma Private Limited
• 16.15. Ipca Laboratories
• 16.16. Jackson Laboratories Pvt Ltd.
• 16.17. Mankind Pharma
• 16.18. Merck KgaA
• 16.19. Novartis AG
• 16.20. Sanofi
• 16.21. Soigner Pharma by Arlak Biotech
• 16.22. Sriwalls Health Care
• 16.23. Taj Life Sciences Pvt. Ltd.
• 16.24. Weefsel Pharma
• 16.25. Zydus Group