말라리아 진단 시장 규모, 점유율 및 동향 분석 보고서 : 기술별, 최종 용도별, 지역별, 부문별 예측(2024-2030년)

Malaria Diagnostics Market Growth & Trends:

The global malaria diagnostics market size is projected to reach USD 900.5 million by 2030, expanding at a CAGR of 2.6% from 2024 to 2030, according to a new report by Grand View Research, Inc. Rising prevalence of the tropical disease in endemic countries, development of novel diagnostic techniques, and rising investments by regional governments and private investors are expected to propel market growth. Malaria is one of the most widespread life-threatening diseases, commonly occurring in the tropical and subtropical regions due to changing climate, low economic growth, underdeveloped healthcare infrastructure, and lack of access to advanced treatment.

Increasing number of government initiatives and investments by market participants are also anticipated to fuel market growth in the near future. Use of antimalarial treatments options that were abundantly available in the African region were used for the management and control of spread during the COVID-19 pandemic. The market noticed a significant boost during the COVID-19 outbreak owing to the ever-increasing malaria cases in addition to the COVID-19 virus.

A large number of malarial elimination programs are being undertaken by major companies to reduce the disease prevalence. For instance, Novartis's Malaria Initiative was aimed at facilitating malaria elimination and control. Along with various organizations, the company has provided non-profit treatment to 750 million people across 60 countries. Thus, such initiatives are anticipated to facilitate the development of novel technologies and aid in market penetration.

Malaria Diagnostics Market Report Highlights:

• Conventional usage of microscopic examination for detection of malarial parasite has driven the microscopy technology segment
• RDTs are anticipated to account for the largest revenue share owing to ease of usage, convenience, and rapid diagnosis.
• The molecular diagnostic tests segment is projected to be the fastest-growing technology segment during the forecast period owing to their accuracy and capability of detecting low parasite count.
• Africa led the market in 2023 due to high disease incidence and increased adoption of various malarial diagnostic techniques in the region.
• Southeast Asia is expected to grow at a CAGR of 2.3% owing to high disease reoccurrence and initiatives undertaken to curb malarial incidence.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
• 1.2. Segment Definitions
  • 1.2.1. Technology
  • 1.2.2. End Use
  • 1.2.3. Regional scope
  • 1.2.4. Estimates and forecasts timeline
• 1.3. Research Methodology
• 1.4. Information Procurement
  • 1.4.1. Purchased database
  • 1.4.2. GVR's internal database
  • 1.4.3. Secondary sources
  • 1.4.4. Primary research
  • 1.4.5. Details of primary research
• 1.5. Information or Data Analysis
  • 1.5.1. Data analysis models
• 1.6. Market Formulation & Validation
• 1.7. Model Details
  • 1.7.1. Commodity flow analysis (Model 1)
  • 1.7.2. Approach 1: Commodity flow approach
  • 1.7.3. Volume price analysis (Model 2)
  • 1.7.4. Approach 2: Volume price analysis
• 1.8. List of Secondary Sources
• 1.9. List of Primary Sources
• 1.10. Objectives

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
  • 2.2.1. Technology outlook
  • 2.2.2. End Use outlook
  • 2.2.3. Regional outlook
• 2.3. Competitive Insights

Chapter 3. Malaria Diagnostics Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent market outlook
  • 3.1.2. Related/ancillary market outlook
• 3.2. Market Dynamics
  • 3.2.1. Market driver analysis
    • 3.2.1.1. Increasing demand for diagnostic tools in malaria-endemic countries
    • 3.2.1.2. Development of technologically advanced and efficient diagnostics
    • 3.2.1.3. Market players and private investors to curb the prevalence of malaria
  • 3.2.2. Market restraint analysis
    • 3.2.2.1. Increasing number of countries in the malaria elimination phase
    • 3.2.2.2. Demand for low-cost malaria diagnostic tests
• 3.3. Malaria Diagnostics Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Technological landscape
    • 3.3.2.3. Economic landscape

Chapter 4. Malaria Diagnostics Market: Technology Estimates & Trend Analysis

• 4.1. Technology Market Share, 2023 & 2030
• 4.2. Segment Dashboard
• 4.3. Global Malaria Diagnostics Market by Technology Outlook
• 4.4. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
  • 4.4.1. Molecular Diagnostic Tests
    • 4.4.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 4.4.1.2. Conventional PCR
      • 4.4.1.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 4.4.1.3. Modernized PCR
      • 4.4.1.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.2. Microscopy
    • 4.4.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.3. Rapid Diagnostic Tests (RDT)

Chapter 5. Malaria Diagnostics Market: End Use Estimates & Trend Analysis

• 5.1. Method Market Share, 2023 & 2030
• 5.2. Segment Dashboard
• 5.3. Global Malaria Diagnostics Market by End Use Outlook
• 5.4. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
  • 5.4.1. Hospitals & Clinics
    • 5.4.1.1. Market estimates and forecasts 2018 to 2030 (USD million)
  • 5.4.2. Diagnostic Centers
    • 5.4.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 5.4.3. Academic and Research Institutes
    • 5.4.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 6. Malaria Diagnostics Market: Regional Estimates & Trend Analysis

• 6.1. Regional Market Share Analysis, 2023 & 2030
• 6.2. Regional Market Dashboard
• 6.3. Global Regional Market Snapshot
• 6.4. Market Size, & Forecasts Trend Analysis, 2018 to 2030:
• 6.5. Africa
  • 6.5.1. Nigeria
    • 6.5.1.1. Key country dynamics
    • 6.5.1.2. Regulatory framework/ reimbursement structure
    • 6.5.1.3. Competitive scenario
    • 6.5.1.4. Nigeria market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.2. Democratic Republic of the Congo
    • 6.5.2.1. Key country dynamics
    • 6.5.2.2. Regulatory framework/ reimbursement structure
    • 6.5.2.3. Competitive scenario
    • 6.5.2.4. Democratic Republic of the Congo market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.3. United Republic of Tanzania
    • 6.5.3.1. Key country dynamics
    • 6.5.3.2. Regulatory framework/ reimbursement structure
    • 6.5.3.3. Competitive scenario
    • 6.5.3.4. United Republic of Tanzania market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.4. Uganda
    • 6.5.4.1. Key country dynamics
    • 6.5.4.2. Regulatory framework/ reimbursement structure
    • 6.5.4.3. Competitive scenario
    • 6.5.4.4. Uganda market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.5. South Africa
    • 6.5.5.1. Key country dynamics
    • 6.5.5.2. Regulatory framework/ reimbursement structure
    • 6.5.5.3. Competitive scenario
    • 6.5.5.4. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.6. Mozambique
    • 6.5.6.1. Key country dynamics
    • 6.5.6.2. Regulatory framework/ reimbursement structure
    • 6.5.6.3. Competitive scenario
    • 6.5.6.4. Mozambique market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.7. Angola
    • 6.5.7.1. Key country dynamics
    • 6.5.7.2. Regulatory framework/ reimbursement structure
    • 6.5.7.3. Competitive scenario
    • 6.5.7.4. Angola market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.8. Ghana
    • 6.5.8.1. Key country dynamics
    • 6.5.8.2. Regulatory framework/ reimbursement structure
    • 6.5.8.3. Competitive scenario
    • 6.5.8.4. Ghana market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.9. Botswana
    • 6.5.9.1. Key country dynamics
    • 6.5.9.2. Regulatory framework/ reimbursement structure
    • 6.5.9.3. Competitive scenario
    • 6.5.9.4. Botswana market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.5.10. Namibia
    • 6.5.10.1. Key country dynamics
    • 6.5.10.2. Regulatory framework/ reimbursement structure
    • 6.5.10.3. Competitive scenario
    • 6.5.10.4. Namibia market estimates and forecasts 2018 to 2030 (USD Million)
• 6.6. South East Asia
  • 6.6.1. India
    • 6.6.1.1. Key country dynamics
    • 6.6.1.2. Regulatory framework/ reimbursement structure
    • 6.6.1.3. Competitive scenario
    • 6.6.1.4. India market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.6.2. Myanmar
    • 6.6.2.1. Key country dynamics
    • 6.6.2.2. Regulatory framework/ reimbursement structure
    • 6.6.2.3. Competitive scenario
    • 6.6.2.4. Myanmar market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.6.3. Indonesia
    • 6.6.3.1. Key country dynamics
    • 6.6.3.2. Regulatory framework/ reimbursement structure
    • 6.6.3.3. Competitive scenario
    • 6.6.3.4. Indonesia market estimates and forecasts 2018 to 2030 (USD Million)
• 6.7. Eastern Mediterranean
  • 6.7.1. Saudi Arabia
    • 6.7.1.1. Key country dynamics
    • 6.7.1.2. Regulatory framework/ reimbursement structure
    • 6.7.1.3. Competitive scenario
    • 6.7.1.4. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.7.2. Pakistan
    • 6.7.2.1. Key country dynamics
    • 6.7.2.2. Regulatory framework/ reimbursement structure
    • 6.7.2.3. Competitive scenario
    • 6.7.2.4. Pakistan market estimates and forecasts 2018 to 2030 (USD Million)
• 6.8. Western Pacific
  • 6.8.1. China
    • 6.8.1.1. Key country dynamics
    • 6.8.1.2. Regulatory framework/ reimbursement structure
    • 6.8.1.3. Competitive scenario
    • 6.8.1.4. China market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.8.2. Papua New Guinea
    • 6.8.2.1. Key country dynamics
    • 6.8.2.2. Regulatory framework/ reimbursement structure
    • 6.8.2.3. Competitive scenario
    • 6.8.2.4. Papua New Guinea market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.8.3. Cambodia
    • 6.8.3.1. Key country dynamics
    • 6.8.3.2. Regulatory framework/ reimbursement structure
    • 6.8.3.3. Competitive scenario
    • 6.8.3.4. Cambodia market estimates and forecasts 2018 to 2030 (USD Million)
• 6.9. Americas
  • 6.9.1. Venezuela
    • 6.9.1.1. Key country dynamics
    • 6.9.1.2. Regulatory framework/ reimbursement structure
    • 6.9.1.3. Competitive scenario
    • 6.9.1.4. Venezuela market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.9.2. Brazil
    • 6.9.2.1. Key country dynamics
    • 6.9.2.2. Regulatory framework/ reimbursement structure
    • 6.9.2.3. Competitive scenario
    • 6.9.2.4. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.9.3. Colombia
    • 6.9.3.1. Key country dynamics
    • 6.9.3.2. Regulatory framework/ reimbursement structure
    • 6.9.3.3. Competitive scenario
    • 6.9.3.4. Colombia market estimates and forecasts 2018 to 2030 (USD Million)
• 6.10. Europe
  • 6.10.1. UK
    • 6.10.1.1. Key country dynamics
    • 6.10.1.2. Regulatory framework/ reimbursement structure
    • 6.10.1.3. Competitive scenario
    • 6.10.1.4. UK market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.10.2. Germany
    • 6.10.2.1. Key country dynamics
    • 6.10.2.2. Regulatory framework/ reimbursement structure
    • 6.10.2.3. Competitive scenario
    • 6.10.2.4. Germany market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.10.3. France
    • 6.10.3.1. Key country dynamics
    • 6.10.3.2. Regulatory framework/ reimbursement structure
    • 6.10.3.3. Competitive scenario
    • 6.10.3.4. France market estimates and forecasts 2018 to 2030 (USD Million)
  • 6.10.4. Turkey
    • 6.10.4.1. Key country dynamics
    • 6.10.4.2. Regulatory framework/ reimbursement structure
    • 6.10.4.3. Competitive scenario
    • 6.10.4.4. Turkey market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 7. Competitive Landscape

• 7.1. Recent Developments & Impact Analysis, By Key Market Participants
• 7.2. Company/Competition Categorization
• 7.3. Vendor Landscape
  • 7.3.1. List of key distributors and channel partners
  • 7.3.2. Key customers
  • 7.3.3. Key company market share analysis, 2023
  • 7.3.4. Access Bio, Inc.
    • 7.3.4.1. Company overview
    • 7.3.4.2. Financial performance
    • 7.3.4.3. Product benchmarking
    • 7.3.4.4. Strategic initiatives
  • 7.3.5. Abbott Laboratories
    • 7.3.5.1. Company overview
    • 7.3.5.2. Financial performance
    • 7.3.5.3. Product benchmarking
    • 7.3.5.4. Strategic initiatives
  • 7.3.6. Premier Medical Corporation Pvt. Ltd.
    • 7.3.6.1. Company overview
    • 7.3.6.2. Financial performance
    • 7.3.6.3. Product benchmarking
    • 7.3.6.4. Strategic initiatives
  • 7.3.7. Sysmex Partec GmbH
    • 7.3.7.1. Company overview
    • 7.3.7.2. Financial performance
    • 7.3.7.3. Product benchmarking
    • 7.3.7.4. Strategic initiatives
  • 7.3.8. Siemens Healthineers
    • 7.3.8.1. Company overview
    • 7.3.8.2. Financial performance
    • 7.3.8.3. Product benchmarking
    • 7.3.8.4. Strategic initiatives
  • 7.3.9. bioMerieux
    • 7.3.9.1. Company overview
    • 7.3.9.2. Financial performance
    • 7.3.9.3. Product benchmarking
    • 7.3.9.4. Strategic initiatives
  • 7.3.10. Beckman Coulter, Inc.
    • 7.3.10.1. Company overview
    • 7.3.10.2. Financial performance
    • 7.3.10.3. Product benchmarking
    • 7.3.10.4. Strategic initiatives
  • 7.3.11. Leica Microsystems GmbH
    • 7.3.11.1. Company overview
    • 7.3.11.2. Financial performance
    • 7.3.11.3. Product benchmarking
    • 7.3.11.4. Strategic initiatives
  • 7.3.12. Bio-Rad Laboratories, Inc.
    • 7.3.12.1. Company overview
    • 7.3.12.2. Financial performance
    • 7.3.12.3. Product benchmarking
    • 7.3.12.4. Strategic initiatives