AI can help in several aspects of medical imaging applications such as reducing false positives, increasing overall accuracy, saving time, and providing more detailed and accurate readings. AI can be utilized in areas like x-rays, MRI, CT scans, マンモグラフィー, and other types of medical imaging. One of the applications of AI-based medical imaging involves the detection and diagnosis of tumors or lesions. The AI-based algorithms can pinpoint the location and characteristics of the affected area more accurately than the human eye, increasing the chances of early detection and better patient outcomes. AI-based medical imaging can also help in the diagnosis and management of specific diseases, such as Alzheimer’s and Parkinson’s disease. By comparing and analyzing digital images of the brain with the patient’s medical history, AI can help physicians make a more accurate diagnosis while identifying the disease at an earlier stage.
最新のデータによると, the market size of the global AI-based medical imaging sector is expected to rise by USD 8.3 10億ドルのCAGRで 31.57% 終わりまでに 2029.

レポートは市場規模と成長をカバーしています, セグメンテーション, 地域内訳, 競争環境, trends and strategies for global AI-based medical imaging market. 利害関係者が現在の市場機会を活用できるように、市場の定量的な分析を提供します。. このレポートはまた、市場動向と主要な競合他社のアプローチに基づいて、機会と戦略の上位セグメントを特定します。.

この業界レポートは、世界市場の市場推定と予測を提供します。, followed by a detailed analysis of the offering, modality, デプロイメントモード, therapeutic application, workflow, エンドユーザー, と地域. The global market for AI-based medical imaging can be segmented by offering: ハードウェア, ソフトウェア. The software segment was the largest contributor to the global AI-based medical imaging market in 2022. AI-based medical imaging market is further segmented by modality: コンピュータ断層撮影 (CT), magnetic resonance (MR), マンモグラフィー, multi-modality imaging systems, 超音波, x-ray, その他. 研究によると, the CT segment had the largest share in the global AI-based medical imaging market. 導入モードに基づく, the AI-based medical imaging market is segmented into: クラウドベースの, オンプレミス. The cloud-based segment held the largest revenue share in 2022. On the basis of therapeutic application, the AI-based medical imaging market also can be divided into: general imaging, specialty imaging. 世界的に, the specialty imaging segment made up the largest share of the AI-based medical imaging market. AI-based medical imaging market by workflow is categorized into: detection, diagnosis and treatment decision support, equipment maintenance, image acquisition, image analysis, predictive analysis and risk assessment, reporting and communication, triage. The image analysis segment was the largest contributor to the global AI-based medical imaging market in 2022. The AI-based medical imaging market by end user can be segmented into: 画像診断センター, 病院, 他の. 研究によると, the hospitals segment had the largest share in the global AI-based medical imaging market. 地域に基づく, the AI-based medical imaging market is further categorized into: 北米, ヨーロッパ, アジア太平洋地域, もの (中東とアフリカ), ラテンアメリカ.

The specialty imaging market is further segmented into cardiology, 神経学, 腫瘍学 (乳癌, 肺癌, その他), orthopedics, respiratory, その他. The oncology segment is estimated to account for the largest share of the global AI-based medical imaging market, それ以上のことを説明します 93.4% 市場全体のうち.

市場セグメンテーション
By offering: ハードウェア, ソフトウェア
By modality: コンピュータ断層撮影 (CT), magnetic resonance (MR), マンモグラフィー, multi-modality imaging systems, 超音波, x-ray, その他
展開モードによって: クラウドベースの, オンプレミス
By therapeutic application: general imaging, specialty imaging
By workflow: detection, diagnosis and treatment decision support, equipment maintenance, image acquisition, image analysis, predictive analysis and risk assessment, reporting and communication, triage
エンドユーザー別: 画像診断センター, 病院, 他の
地域別: 北米, ヨーロッパ, アジア太平洋地域, もの (中東とアフリカ), ラテンアメリカ

The report explores the recent developments and profiles of key vendors in the Global AI-Based Medical Imaging Market, including Agfa-Gevaert N.V., Aidoc Medical Ltd., Arterys Inc., Avicenna.AI SAS, Beijing Infervision Technology Co., 株式会社, Blackford Analysis Limited, Butterfly Network, 株式会社, CellmatiQ GmbH, dentalXrai GmbH, Digital Diagnostics Inc., EchoNous Inc., FUJIFILM Holdings Corporation, GE HealthCare Technologies Inc., Gleamer SAS, HeartVista Inc., Hologic, 株式会社, Hyperfine, 株式会社, iCAD Inc., ロイヤル フィリップス NV, Lunit Inc., Mediaire GmbH, Medo Inc., Merative US L.P. (formerly IBM Watson Health), Mirada Medical Ltd., Nano-X Imaging Ltd. (Zebra Medical Vision, 株式会社), Nuance Communications, 株式会社, Nvidia Corporation, Paige AI, 株式会社, Perimeter Medical Imaging AI, 株式会社, Qure.ai Technologies Private Limited, シーメンス ヘルスニアーズ AG, Subtle Medical Inc., Synopsys Inc., TeraRecon, 株式会社. (EnvoyAI), United Imaging Intelligence Co., 株式会社, VUNO Inc., とりわけ. このレポートでは, 市場の競争見通しを理解するために、主要なプレーヤーとその戦略を徹底的に分析します。.
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報告書の範囲
• To analyze and forecast the market size of the global AI-based medical imaging market.
• To classify and forecast the global AI-based medical imaging market based on offering, modality, デプロイメントモード, therapeutic application, workflow, エンドユーザー, 領域.
• To identify drivers and challenges for the global AI-based medical imaging market.
• 合併などの競争展開を検討するため & 買収, 協定, コラボレーションとパートナーシップ, 等, in the global AI-based medical imaging market.
• To identify and analyze the profile of leading players operating in the global AI-based medical imaging market.

このレポートを選択する理由
• Gain a reliable outlook of the global AI-based medical imaging market forecasts from 2023 に 2029 シナリオ全体にわたって.
• 投資対象となる成長セグメントを特定する.
• 会社概要と市場データを通じて競合他社に先んじる.
• Excel 形式でのシナリオ全体の分析を容易にするための市場予測.
• 3ヶ月間の戦略コンサルティングとリサーチサポート.
• シングルユーザーライセンスに提供される印刷認証.