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病理市場における AI – 2029年までの世界予測

AI in Pathology Market – Global Forecast to 2029

病理市場における AI – ニューラルネットワーク (GAN、CNN、RNN)、機能 (診断、画像解析、CDSS、データ管理、分析)、ユースケース (創薬、臨床ワークフロー)、エンドユーザー (病院、研究所、製薬/バイオテクノロジー)、および地域別 – 2029年までの世界予測
Al in Pathology Market by Neural Network (GAN, CNN, RNN), Function (Diagnostic, Image Analysis, CDSS, Data Management, Analytics), Use Case (Drug Discovery, Clinical workflow), End User (Hospital, Labs, Pharma/Biotech), & Region – Global Forecast to 2029

The global AI in Pathology market is expected to reach USD 169.8 million by 2029 from USD 82.8 million in 2024 at a high CAGR of 15.4% during the forecast period.

世界の病理AI市場は、予測期間中に15.4％という高いCAGRで、2024年の8,280万米ドルから2029年までに1億6,980万米ドルに達すると予想されています。

病理市場における AI – 2029年までの世界予測

Key Players in the AI in pathology Market

The key players functioning in the AI in pathology market include Koninklijke Philips N.V. (Netherlands), F. Hoffmann-La Roche Ltd (Switzerland), Hologic, Inc. (US), Akoya Biosciences, Inc. (US), Aiforia Technologies Plc (Finland), Indica Labs Inc. (US), OptraScan (US), Ibex Medical Analytics Ltd. (Israel), Mindpeak GmbH (Germany), Tribun Health (France), Techcyte, Inc. (US), Deep Bio Inc. (Korea), Lumea Inc. (US), Visiopharm (Denmark), aetherAI (Taiwan), Aiosyn (Netherlands), Paige AI, Inc. (US), Proscia Inc. (US), PathAI, Inc. (US), Tempus Labs, Inc. (US), Konfoong Biotech International Co., Ltd. (China), DoMore Diagnostics AS (Norway), Verily Life Sciences, LLC (US), deepPath (US), and 4D Path Inc (US).

This report provides insights on:

Analysis of key drivers (Rising strategic collaborations among market players, integration of AI in multiplex imaging, Rising cases of misdiagnoses, AI-augmented telepathology broadening access to specialized pathology services, and technological advancements in deep learning), restraints (High cost of digital pathology systems, the scarcity of AI expertise and unclear regulatory guidelines for medical software, and lack of interoperability with legacy systems), opportunities (Growing demand for personalized medicine, integration of multi-omics data, and predictive analytics for disease Progression) challenges (Lack of sufficient data to train AI algorithms, data privacy, and ethical concerns, interpretability of AI models) influencing the growth of the AI in pathology market.

  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in pathology market.
  • Market Development: Comprehensive information on the lucrative emerging markets, offering, neural networks, functions, use-case, end-user, and region.
  • Market Diversification: Exhaustive information about the product portfolios, growing geographies, recent developments, and investments in the AI in pathology market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, product offerings, and capabilities of the leading players in the AI in pathology market like Koninklijke Philips N.V. (Netherlands), F. Hoffmann-La Roche Ltd (Switzerland), Hologic, Inc. (US).

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