자동 시야계 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2025-2034년)

The Global Automated Visual Field Analyzer Market reached USD 231.4 million in 2024 and is projected to grow at a CAGR of 5.8% between 2025 and 2034. This growth trajectory is fueled by technological advancements, a rising incidence of ophthalmic disorders, and increasing awareness of the critical role early diagnosis plays in preserving vision. Automated visual field analyzers have become indispensable in modern ophthalmology, aiding in the detection and monitoring of vision impairments with remarkable accuracy.

Technological innovations, particularly the integration of artificial intelligence and machine learning, have significantly enhanced the efficiency and precision of automated visual field analyzers. These advancements enable faster, more accurate results, meeting the growing demand for cutting-edge diagnostic tools in hospitals and specialized eye clinics. Additionally, user-friendly interfaces and enhanced testing capabilities have driven widespread adoption across diverse clinical environments, solidifying the role of these devices in modern eye care.

The market is segmented by product type into static and kinetic analyzers. Static analyzers are set to witness steady growth, with a projected CAGR of 5.5%, reaching USD 276.1 million by 2034. These devices evaluate fixed points within a patient's visual field, offering highly accurate and reproducible data crucial for the early detection of visual impairments. Their reliability and ease of use make them a top choice for clinical diagnostics and research applications. The segment growth is further bolstered by the increasing prevalence of glaucoma, a leading cause of vision loss worldwide, particularly among aging populations.

By application, the market encompasses glaucoma, age-related macular degeneration (AMD), neurological disorders, and other uses. The glaucoma segment is expected to grow at a robust CAGR of 6.3%, generating USD 175.2 million by 2034. Rising cases of glaucoma, driven by risk factors such as diabetes and hypertension, underscore the need for advanced diagnostic tools. Automated visual field analyzers excel in detecting and monitoring glaucoma progression, providing opportunities for early intervention and reducing the risk of irreversible vision loss.

The U.S. market for automated visual field analyzers, valued at USD 76.9 million in 2024, is anticipated to grow at a CAGR of 4.8% through 2034. This growth is driven by the increasing prevalence of vision-related disorders, including glaucoma, AMD, and diabetic retinopathy. An aging population with a higher susceptibility to these conditions amplifies the need for regular eye examinations and advanced diagnostic technologies. Ongoing innovation, particularly the adoption of AI and ML, continues to enhance diagnostic accuracy and efficiency, fueling the adoption of these devices across the U.S. healthcare landscape.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising prevalence of glaucoma and other eye disorders
    • 3.2.1.2 Increased focus on early diagnosis
    • 3.2.1.3 Adoption in neurological assessments
    • 3.2.1.4 Rising demand for outpatient eye care
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High cost of devices
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 Reimbursement scenario
• 3.6 Technology landscape
• 3.7 Gap analysis
• 3.8 Porter's analysis
• 3.9 PESTEL analysis
• 3.10 Future market trends

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Company market share analysis
• 4.4 Competitive analysis of major market players
• 4.5 Competitive positioning matrix
• 4.6 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Product Type, 2021 – 2034 ($ Mn)

• 5.1 Key trends
• 5.2 Static
• 5.3 Kinetic

Chapter 6 Market Estimates and Forecast, By Application, 2021 – 2034 ($ Mn)

• 6.1 Key trends
• 6.2 Glaucoma
• 6.3 Age-related macular degeneration (AMD)
• 6.4 Neurological disorders
• 6.5 Other applications

Chapter 7 Market Estimates and Forecast, By End Use, 2021 – 2034 ($ Mn)

• 7.1 Key trends
• 7.2 Hospitals
• 7.3 Ophthalmic clinics
• 7.4 Other end users

Chapter 8 Market Estimates and Forecast, By Region, 2021 – 2034 ($ Mn)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 France
  • 8.3.4 Spain
  • 8.3.5 Italy
  • 8.3.6 Netherlands
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 South Korea
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
• 8.6 Middle East and Africa
  • 8.6.1 South Africa
  • 8.6.2 Saudi Arabia
  • 8.6.3 UAE

Chapter 9 Company Profiles

• 9.1 Canon
• 9.2 ESSILOR INSTRUMENTS
• 9.3 HAAG-STREIT GROUP
• 9.4 HEIDELBERG ENGINEERING
• 9.5 Konan Medical
• 9.6 Kowa
• 9.7 MEDA
• 9.8 Metrovision
• 9.9 OCULUS
• 9.10 Optopol
• 9.11 Reichert AMETEK
• 9.12 Rexxam
• 9.13 TOPCON Healthcare
• 9.14 Zeiss