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Computer Vision in Healthcare Market Projected to Reach USD 33.32 Billion by 2031

Computer Vision in Healthcare Market Poised for Exponential Growth driven by the increasing adoption of artificial intelligence (AI) and machine learning technologies in the healthcare industry.

The computer vision in healthcare market is assured for promising growth, with estimates by SNS Insider suggests a CAGR of 47.8% over the forecast period. This impacts the overall market valuation, the predicted market size for the year 2031 is USD 33.32 billion.

List of Computer Vision in Healthcare Companies Profiled in Report:

  • Arterys
  • iCAD Inc.
  • Basler AG
  • AiCure
  • Google
  • IBM
  • Intel Corporation
  • Microsoft
  • NVIDIA Corporation
  • Xilinx Inc

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A Broad Spectrum of Opportunities

  • The scope of CV in healthcare is vast and ever-evolving. The most important application are medical imaging and diagnostics. CV algorithms can analyze X-rays, CT scans, MRIs, and mammograms with unparalleled precision, aiding in early disease detection, improved tumor segmentation, and automated analysis of complex pathologies.
  • Beyond diagnostics, CV finds application in surgical procedures. Surgical navigation systems leverage CV to provide real-time guidance to surgeons, minimizing invasiveness and improving surgical precision. Additionally, CV-powered robotic assistants can perform delicate procedures with enhanced dexterity and control, paving the way for minimally invasive surgeries and faster patient recovery times.
  • The potential of CV extends far beyond these core applications. CV-based solutions are being developed for patient monitoring, wound care management, and even mental health assessments. For instance, CV algorithms can analyse facial expressions to detect signs of depression or anxiety, enabling early intervention and personalized treatment plans.

Political Trends:

Governments around the world are actively promoting the adoption of AI-based technologies across various sectors. This push often takes the form of increased funding for research and development (R&D) initiatives.  National AI strategies, like India’s “National Strategy for Artificial Intelligence,” outline goals for responsible AI development and allocate significant budgets to propel these efforts. Additionally, governments are investing in infrastructure upgrades to support the robust data processing required by AI. This includes funding for high-speed internet networks and advancements in cloud computing. Moreover, some governments are providing financial incentives for businesses to adopt AI solutions. Tax breaks, grants, and subsidized access to AI platforms are all tactics being employed to encourage wider integration of AI across industries. By promoting a supportive environment for AI development and implementation, governments aim to unlock the transformative potential of this technology and drive economic growth, improved efficiency, and innovation.

Computer Vision in Healthcare Industry Segmentation as Follows:

By Product & Service

  • Hardware
  • Software
  • Services

By Application

  • Medical imaging and diagnostics
  • Surgeries
  • Other applications

By End user

  • Healthcare providers
  • Diagnostic centers

Key Insights of by “Product & Services” Segment

Segment analysis by product and service allows businesses in the computer vision healthcare space to study deeper than just total market share. By separating hardware, software, and service offerings, companies can identify areas of strength and weakness. This dictates which products, like high-resolution scanners, resonate most with healthcare providers. It also highlights the software features, like advanced tumor detection algorithms, driving customer decisions.

The analysis done by SNS Insider can explain the most looked-after services, such as image analysis and report generation. By understanding these segmented market dynamics, companies can modify their offerings to better serve specific customer needs, optimize pricing strategies, and prioritize resources for development in high-growth areas. This laser focus on product-service segments within the healthcare computer vision market empowers businesses to stay competitive and drive market share growth.

Metrics explaining the external impact on the market

Recent economic volatility has caused an intense effect in the healthcare sector, impacting the adoption of computer vision (CV) technologies. A survey conducted by SNS Insider in Q1 2024 revealed a 15% decrease in investment intentions for CV solutions compared to the previous quarter.

However, the long-term outlook remains positive. The same survey found that 72% of healthcare providers still view CV as a strategic technology for improving efficiency and patient outcomes. This suggests a potential rebound in investment once economic conditions stabilize, highlighting the transformative potential of CV in areas like medical imaging analysis, surgical robotics, and remote patient monitoring.

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Regional Landscape:

The global computer vision in healthcare market is currently dominated by North America, which held a significant share of 36.1% in 2023. This dominance can be attributed to factors such as the presence of leading healthcare institutions, a strong research infrastructure, and a high adoption rate of advanced technologies. However, the Asia Pacific region is expected to witness the fastest growth due to factors like a burgeoning patient population, rising government investments in healthcare IT infrastructure, and an increasing focus on telemedicine initiatives. Europe is another significant player, driven by a supportive regulatory environment and a growing emphasis on personalized medicine.

Recent Developments:

  • The computer vision in healthcare market is a dynamic landscape populated by a diverse range of players. Key established players like NVIDIA, IBM, and Siemens Health are at the peak of innovation, developing cutting-edge CV-powered solutions for various healthcare applications. Also, a wave of promising startups like Zebra Medical Vision, iSono Health, and Enlitic are making significant strides in this domain.
  • iSono Health’s AI-powered ultrasound platform leverages CV to automate fetal growth measurements, leading to faster and more accurate prenatal assessments.
  • Zebra Medical Vision’s AI solution for chest X-rays can detect abnormalities with exceptional precision, supporting early detection of lung diseases.

Key Takeaways:

  • The computer vision in healthcare market presents a compelling opportunity for growth and innovation.
  • With its potential to revolutionize diagnostics, treatment planning, and overall patient care, CV is poised to become an indispensable tool in the healthcare arsenal.
  • As the technology matures and regulatory frameworks evolve, the global market is expected to witness a surge in adoption rates, paving the way for a future where healthcare is more precise, efficient, and accessible for all.

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Table of Content

Chapter 1 Introduction

Chapter 2 Research Methodology

Chapter 3 Computer Vision in Healthcare Market Dynamics

Chapter 4 Impact Analysis (COVID-19, Ukraine- Russia war, Ongoing Recession on Major Economies)

Chapter 5 Value Chain Analysis

Chapter 6 Porter’s 5 forces model

Chapter 7 PEST Analysis

Chapter 8 Computer Vision in Healthcare Market Segmentation, By Product & Service

Chapter 9 Computer Vision in Healthcare Market Segmentation, By Application

Chapter 10 Computer Vision in Healthcare Market Segmentation, By End user

Chapter 11 Regional Analysis

Chapter 12 Company profile

Chapter 13 Competitive Landscape

Chapter 14 Use Case and Best Practices

Chapter 15 Conclusion


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