2024 Artificial Intelligence in Pathology Market: Share & Forecast Insights

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Nov 7, 2024 - 14:06
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The artificial intelligence in pathology market report 2024 by The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Artificial Intelligence in Pathology Market Insights

The Artificial Intelligence in Pathology Market, 2024 report by The Business Research Company provides comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size

The artificial intelligence in pathology market size has shown significant growth, increasing from $1.08 billion in 2023 to $1.22 billion in 2024 at a CAGR of 13.5%. Key growth factors include the increasing prevalence of diseases, increased funding initiatives, the growing use of telemedicine, government initiatives, and higher demand for pathology services.

The market is anticipated to continue expanding, reaching $2.04 billion by 2028 at a CAGR of 13.6%, driven by the rise of AI in clinical trials, expanding healthcare infrastructure, interdisciplinary collaborations, ethical guidelines development, and predictive analytics.

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Scope of Artificial Intelligence in Pathology Market

The Business Research Company’s reports cover:

  • Market Size (Historic & Forecast): Analysis of historical performance and projections for future growth.
  • Drivers: Examination of growth drivers.
  • Trends: Emerging patterns shaping the market.
  • Key Segments: Primary segments' performance.
  • Focus Regions: Most critical regions influencing the market.
  • Macro Economic Factors: Broader economic impacts.

Market Drivers
The growing need for personalized medicine is driving market growth. Personalized medicine tailors medical treatments based on individual profiles, improving effectiveness and reducing adverse effects. AI in pathology supports personalized medicine with more precise diagnosis and treatment plans based on patient-specific data. In 2023, the Personalized Medicine Coalition reported 12 new personalized medicines, showing growth in the field.

Market Trends
Major companies are focusing on advanced cancer detection tools, which use machine learning to enhance diagnostic accuracy and streamline workflows. In March 2022, Paige AI launched the Lymph Node Module for breast cancer metastasis detection in lymph nodes, offering over 98% sensitivity and advanced features like TissueMap for efficiency.

Market Segmentation

  1. Component: Software, Scanners
  2. Neural Network: Generative Adversarial Networks, Convolutional Neural Networks, Conventional Neural Network, Recurrent Neural Networks, Other Neural Networks
  3. Application: Drug Discovery, Disease Diagnosis and Prognosis, Clinical Workflow, Training and Education
  4. End User: Pharmaceutical and Biotechnology Companies, Hospitals, Reference Laboratories, Academic and Research Institutes

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Regional Insights

Asia-Pacific led the market in 2023, while North America is expected to grow fastest through the forecast period. Covered regions: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.

Key Companies

Key companies include F. Hoffmann-La Roche Ltd., Koninklijke Philips N.V., Hamamatsu Photonics K.K., Tempus Labs Inc., Spectra AB, Lunit Inc., Paige AI Inc., and others.

Table of Contents

  1. Executive Summary
  2. Artificial Intelligence In Pathology Market Report Structure
  3. Artificial Intelligence In Pathology Market Trends And Strategies
  4. Artificial Intelligence In Pathology Market – Macro Economic Scenario
  5. Artificial Intelligence In Pathology Market Size And Growth

…..

  1. Artificial Intelligence In Pathology Market Competitor Landscape And Company Profiles
  2. Key Mergers And Acquisitions
  3. Future Outlook and Potential Analysis
  4. Appendix

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