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医療画像診断における人工知能市場の2030年までの予測: 展開モード、ソリューション、技術、画像診断モード、用途、エンドユーザー、地域別の世界分析

Artificial Intelligence in Medical Imaging Market Forecasts to 2030 - Global Analysis By Deployment Mode, Solution, Technology (Deep Learning, Natural Language Processing and Other Technologies), Imaging Mode, Application, End User and By Geography

出版日: | 発行: Stratistics Market Research Consulting | ページ情報: 英文 200+ Pages | 納期: 2~3営業日

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医療画像診断における人工知能市場の2030年までの予測: 展開モード、ソリューション、技術、画像診断モード、用途、エンドユーザー、地域別の世界分析
出版日: 2023年10月01日
発行: Stratistics Market Research Consulting
ページ情報: 英文 200+ Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

Stratistics MRCによると、世界の医療画像診断における人工知能(AI)市場は、2023年に17億7,000万米ドルを占め、予測期間中にCAGR 28.5%で成長し、2030年には102億5,000万米ドルに達すると予測されています。

医療画像処理における人工知能(AI)とは、超音波、コンピュータ断層撮影(CT)、磁気共鳴画像(MRI)、X線など、さまざまな画像モダリティにAI技術を適用し、医療画像の処理を改善・自動化することを指します。高度なアルゴリズムと機械学習モデルを用いて医療画像から重要な情報を分析・抽出し、さまざまな病気や疾患の認識、診断、治療に役立てる。

米国がん協会によると、米国では今年、肺がんと気管支がんの合計236,740人が新たに罹患すると推定されています。

AIを活用した医療用画像処理新興企業の増加

現在の医療用画像処理市場は、AIが牽引しています。というのも、このソフトウェアは、医師が病気をより迅速に診断し、早期介入を可能にするという利益をもたらすからです。さらに、新しいAI主導の新興企業は、AI医療画像ソリューションに重点を置き、洗練された機能を追加しています。医療用画像処理におけるAIを発展させるためには、この分野への資金提供や投資を増やすことも必要です。例えば、リトアニアのoxipit.aiは、完全自律型のAI医用画像処理を開発し、新たな地域で市場を拡大するため、2023年1月に490万米ドルの資金を調達しました。このように、世界のAI主導の新興企業数の増加と、完全自律型AI医療用画像処理ツールの開発に対する資金調達の増加によって、市場の成長が促進されています。

医療用画像処理におけるAIコストの増加

市場の成長は、多くの疾患を診断するための医療用画像サンプルやその他の機器で使用される様々な人工知能技術のコストが高いことが制約となっています。現在、低開発国や発展途上国の病院や研究機関の大半は、医療用画像処理における人工知能の調査研究に関連する高いコストを支払う余裕がないです。このため、こうした要因が市場の成長を阻害しています。

ヘルスケアにおけるAIベースのコンピュータビジョンモデルの実装

今後数年間で、先進的なAIツールや技術がヘルスケアや放射線業界を大きく変えると予想されています。現在の医療用画像処理業界におけるAIに携わる企業は、医療分野、特に放射線科におけるAIの導入が幅広い機会をもたらすと予想しています。さらに、増加するスキャン数とデータを読み取ることができる放射線科医の数との間の格差の拡大は、医療用画像処理市場におけるAIの採用を助長する主要な要因です。

セキュリティへの懸念と厳しい規制

データ漏洩や患者データへの不正アクセスは、医療画像産業におけるAIの普及を妨げる可能性があります。市場参入企業にとって、データへのアクセシビリティとプライバシーのバランスを取ることは難しいです。さらに、AIを医療用画像処理に使用するには、規則や法的要件を遵守する必要があります。医療用途のAIアルゴリズムの開発と応用には、管理団体や医療機器当局が定めるような厳しい規制に従う必要があります。こうした側面が市場の拡大を制限しています。

COVID-19の影響:

COVID-19の大流行は、ヘルスケアを除く世界中のほぼすべての産業に大きな影響を与えました。ヘルスケア分野でAI対応ソリューションが開発されている主な分野は医療用画像処理です。感染症や肺疾患の画像診断にCOVID-19が広く使用されているため、放射線科では多くの病院で利用が大幅に増加しています。パンデミックとテクノロジーやデジタル・ソリューションに対する需要の増加には強い相関関係が存在します。COVID-19技術の影響は、中長期的には非常にプラスに働く可能性があります。

予測期間中はX線セグメントが最大になる見込み

予測期間中、X線セグメントが最大の市場シェアを占めると予測されます。X線モダリティにおけるAIの需要は、その精度の高さから増加しています。X線画像とARおよびVR技術の統合により、放射線技師は没入型のインタラクティブな体験をすることができるようになっています。医療従事者はX線画像を3次元で見ることができるようになり、解剖学的な詳細を重ね合わせたり、術前計画のための手技をシミュレーションしたりすることもできます。さらに、これらのツールは、より正確な解釈を容易にし、空間理解力を向上させ、セグメントの進行を加速させる。

予測期間中にCAGRが最も高くなると予想される乳房スクリーニング分野

予測期間中、乳房スクリーニング分野は最も高い成長率で拡大すると予測されます。乳房スクリーニングの需要は、乳がん患者の増加と、できるだけ早く適切な治療を受けるのに役立つ早期診断に対する患者の要望によって牽引されています。さらに、臨床的解釈を支援する政府の取り組みと乳がん検診技術へのアクセス拡大が、セグメント拡大を促進すると予想される2つの主要因です。

最大のシェアを占める地域:

技術的に洗練されたインフラと高い一人当たり所得により、北米が2022年の市場を独占し、予測期間中も支配的であると予測されています。医療用画像処理におけるAI市場は、多数の市場プレイヤーの存在と、この地域における有利な政府規制によって牽引されています。また、同地域の研究機関やヘルスケア機関はAIに多額の投資を行っています。さらに、大手業界プレイヤーの強い存在感と盛んなヘルスケアインフラが、この地域の成長を促進しています。

CAGRが最も高い地域:

最先端技術の普及、ネットワーク接続の改善、政府の取り組み拡大により、アジア太平洋地域が最も高い成長率を示すと予想されます。投資の急激な増加、特に中国とインドにおける人工知能(AI)を使用する新興企業の増加、画質を向上させることでこの地域の医療インフラ格差を解消するAIの大きな可能性は、さらなる原動力となっています。これらの技術は臨床的価値も高く、市場の成長を促進しています。

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  • 企業プロファイル
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目次

第1章 エグゼクティブサマリー

第2章 序文

  • 概要
  • ステークホルダー
  • 調査範囲
  • 調査手法
    • データマイニング
    • データ分析
    • データ検証
    • 調査アプローチ
  • 調査ソース
    • 1次調査ソース
    • 2次調査ソース
    • 前提条件

第3章 市場動向分析

  • 促進要因
  • 抑制要因
  • 機会
  • 脅威
  • 技術分析
  • アプリケーション分析
  • エンドユーザー分析
  • 新型コロナウイルス感染症(COVID-19)の影響

第4章 ポーターのファイブフォース分析

  • 供給企業の交渉力
  • 買い手の交渉力
  • 代替品の脅威
  • 新規参入業者の脅威
  • 競争企業間の敵対関係

第5章 医療画像市場における世界の人工知能(AI):展開モード別

  • オンプレミス
  • クラウドベース

第6章 医用画像市場における世界な人工知能(AI):ソリューション別

  • ソフトウェアツール/プラットフォーム
  • サービス
    • 統合
    • 導入

第7章 医用画像市場における世界の人工知能(AI):テクノロジー別

  • ディープラーニング
  • 自然言語処理(NLP)
  • その他の技術

第8章 医用画像市場における世界の人工知能(AI):画像モード別

  • コンピューター断層撮影(CT)スキャン
  • 磁気共鳴画像法(MRI)
  • 分子イメージング
  • 核イメージング
  • 超音波画像診断
  • X線
  • その他の撮像モード

第9章 医用画像市場における世界の人工知能(AI):アプリケーション別

  • 神経内科
  • 呼吸器と肺
  • 心臓病学
  • 乳がん検診
  • 病理学
  • 口腔診断
  • 整形外科
  • その他の用途

第10章 医用画像市場における世界の人工知能(AI):エンドユーザー別

  • クリニック
  • 画像診断センター
  • 病院
  • 調査
  • その他のエンドユーザー

第11章 医用画像市場における世界の人工知能(AI):地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • イタリア
    • フランス
    • スペイン
    • その他欧州
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他アジア太平洋地域
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他南米
  • 中東とアフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他中東とアフリカ

第12章 主な発展

  • 契約、パートナーシップ、コラボレーション、合弁事業
  • 買収と合併
  • 新製品の発売
  • 事業拡大
  • その他の主要戦略

第13章 企業プロファイル

  • 1QB Information Technology
  • Agfa-Gevaert Group
  • Arterys Inc
  • AZmed
  • BenevolentAI
  • BioXcel Therapeutics Inc
  • Butterfly Network
  • Caption Health
  • CellmatiQ
  • dentalXrai
  • Digital Diagnostics
  • EchoNous
  • Enlitic, Inc
  • GE Healthcare
  • Gleamer
  • HeartVista
  • IBM Watson Health
  • K Health
  • Koninklijke Philips
  • mPulse Mobile
  • Nanox Imaging
  • OrCam
  • Owkin Inc.
  • Siemens Healthineers AG
  • Suki AI, Inc
  • Ultromics
  • Viz.ai, Inc
  • ZealthLife technologies Pte. Ltd
  • Zebra Medical Vision
図表

List of Tables

  • Table 1 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By On-Premise (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cloud Based (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Solution (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Software Tools/ Platform (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Services (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Integration (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deployment (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Technology (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deep Learning (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Natural Language Processing (NLP) (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Imaging Mode (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Computed tomography (CT) Scan (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Magnetic Resonance Imaging (MRI) (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Molecular Imaging (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Nuclear Imaging (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Ultrasound Imaging (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By X-rays (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Imaging Modes (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Application (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Neurology (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Respiratory and Pulmonary (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cardiology (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Breast Screening (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Pathology (2021-2030) ($MN)
  • Table 28 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Oral Diagnostics (2021-2030) ($MN)
  • Table 29 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Orthopedics (2021-2030) ($MN)
  • Table 30 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 31 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By End User (2021-2030) ($MN)
  • Table 32 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Clinics (2021-2030) ($MN)
  • Table 33 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Diagnostic Imaging Centers (2021-2030) ($MN)
  • Table 34 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Hospitals (2021-2030) ($MN)
  • Table 35 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Introduction (2021-2030) ($MN)
  • Table 36 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Research Laboratories (2021-2030) ($MN)
  • Table 37 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

目次
Product Code: SMRC23931

According to Stratistics MRC, the Global Artificial Intelligence (AI) in Medical Imaging Market is accounted for $1.77 billion in 2023 and is expected to reach $10.25 billion by 2030 growing at a CAGR of 28.5% during the forecast period. Artificial intelligence (AI) in medical imaging refers to the application of AI techniques to a variety of imaging modalities, including ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and X-rays, to improve and automate the processing of medical images. It involves analyzing and extracting significant information from medical images using sophisticated algorithms and machine learning models in order to aid in the recognition, diagnosis, and treatment of a variety of illnesses and ailments.

According to the American Cancer Society, a total of 236,740 new cases of lung and bronchus cancer are estimated this year in the United States.

Market Dynamics:

Driver:

Increase in AI-Powered medical imaging start-ups

The market for medical imaging is being driven by AI in the current scenario. This is because the software gives doctors a benefit by making it possible for them to diagnose illnesses much more quickly and enable earlier intervention. Additionally, new AI-driven start-ups are putting an emphasis on and adding sophisticated features to AI medical imaging solutions. To advance AI in medical imaging, it is also necessary to increase funding and investment in the field. For instance, Lithuania's oxipit.ai raised USD 4.9 million in funding in January 2023 to develop fully autonomous AI medical imaging and broaden the market in new regions. Thus, market growth is being driven by the rising number of AI-driven start-ups globally and the rising funding for the development of fully autonomous AI medical imaging tools.

Restraint:

Increasing cost of AI in medical imaging

The market's growth is constrained by the high cost of various artificial intelligence techniques used in medical imaging samples and other equipment for diagnosing many diseases. The majority of hospitals and research institutions in underdeveloped and developing nations are currently unable to afford the higher costs associated with the R&D of artificial intelligence in medical imaging. These factors thus inhibit market growth.

Opportunity:

Implementation of AI-based computer vision models in healthcare

In the upcoming years, it is anticipated that advanced AI tools and technology will significantly change the healthcare and radiology industries. Companies involved in the current AI in the medical imaging industry anticipate that the adoption of AI in the medical field, particularly in radiology, will present a wide range of opportunities. Moreover, the growing disparity between the rising number of scans and the number of available radiologists who can read data is a major factor that will aid in the adoption of AI in the medical imaging market.

Threat:

Security concerns and stringent regulations

Data breaches or unauthorized access to patient data could hinder the widespread use of AI in the medical imaging industry. Finding a balance between data accessibility and privacy will be difficult for market participants. Additionally, AI must adhere to rules and legal requirements before it can be used in medical imaging. Strict regulations, such as those set forth by governing bodies and medical device authorities, must be followed in the development and application of AI algorithms for medical applications. Such aspects limit the market from expanding.

COVID-19 Impact:

The COVID-19 pandemic has had a significant impact on nearly every industry worldwide, with the exception of healthcare. The primary area in the healthcare sector where AI-enabled solutions are being developed is medical imaging. Due to the widespread use of COVID-19 for imaging infectious and lung diseases, radiology has seen a significant increase in use in many hospitals. A strong correlation exists between the pandemic and the increased demand for technology and digital solutions. The impact of COVID-19 technology could be very positive in the medium to long term.

The X-rays segment is expected to be the largest during the forecast period

During the forecast period, the X-ray segment is anticipated to hold the largest market share. The demand for AI in X-ray modalities has increased due to its high accuracy. Radiologists can now experience immersive and interactive experiences thanks to the integration of AR and VR technologies with X-ray imaging. X-ray images can now be seen in three dimensions by medical professionals, who can also overlay anatomical details or simulate procedures for preoperative planning. Moreover, these tools can facilitate more accurate interpretations and improve spatial comprehension, which would accelerate segment progression.

The breast screening segment is expected to have the highest CAGR during the forecast period

It is anticipated that during the forecast period, the breast screening segment will expand at the highest rate. The demand for breast screening is being driven by the increase in breast cancer cases and patients' desires for an early-stage diagnosis, which aids in receiving the proper treatment as soon as possible. Furthermore, government initiatives that support clinical interpretation and expanded access to breast cancer screening technologies are two additional major factors that are anticipated to fuel segment expansion.

Region with largest share:

Due to the technologically sophisticated infrastructure and high per capita income, North America dominated the market in 2022 and is predicted to dominate over the forecast period. The market for AI in medical imaging is being driven by the presence of numerous market players and favorable government regulations in the area. In addition, the region's research organizations and healthcare institutions are making significant investments in AI. Furthermore, a strong presence of major industry players and a thriving healthcare infrastructure are fostering regional growth in this region.

Region with highest CAGR:

Due to the widespread adoption of cutting-edge technologies, improved network connectivity, and expanded government initiatives, Asia Pacific is anticipated to experience the highest growth rate. The exponential growth in investment, the rise in artificial intelligence (AI)-using startups, particularly in China and India, and the enormous potential for AI to close the region's healthcare infrastructure gap by enhancing image quality are additional motivating factors. These technologies also have a high clinical value, which is promoting market growth.

Key players in the market:

Some of the key players in Artificial Intelligence (AI) in Medical Imaging market include: 1QB Information Technology, Agfa-Gevaert Group, Arterys Inc, AZmed, BenevolentAI, BioXcel, Therapeutics Inc, Butterfly Network, Caption Health, CellmatiQ, dentalXrai, Digital Diagnostics, EchoNous, Enlitic, Inc, GE Healthcare, Gleamer, HeartVista, IBM Watson Health, K Health, Koninklijke Philips, mPulse Mobile, Nanox Imaging, OrCam, Owkin Inc., Siemens Healthineers AG, Suki AI, Inc, Ultromics, Viz.ai, Inc, ZealthLife technologies Pte. Ltd and Zebra Medical Vision.

Key Developments:

In October 2023, BioXcel Therapeutics, Inc., a biopharmaceutical company utilizing artificial intelligence approaches to develop transformative medicines in neuroscience, today provided an update on recent developments with its late-stage clinical programs as well as its patent portfolio for IGALMI™ (dexmedetomidine) sublingual film. These developments include meetings scheduled with the U.S. Food and Drug Administration (FDA) to discuss the TRANQUILITY and SERENITY III clinical programs and the receipt of two Notices of Allowance (NOAs) from the U.S. Patent and Trademark Office to extend method of use patent protection for sublingual dexmedetomidine.

In August 2023, Butterfly Network, Inc. a digital health company transforming care through the power of portable, semiconductor-based ultrasound technology and intuitive software, announced the release of its software development kit (SDK) for use by third parties. The kit will allow developers to utilize Butterfly's platform to build custom applications that can be commercialized to Butterfly's customer base - the largest user network in handheld point-of-care ultrasound.1 The Company ultimately plans to open "Butterfly Garden," an AI Marketplace where new apps will be hosted for Butterfly users to discover and purchase the latest AI capabilities.

In April 2023, AGFA HealthCare, a leading provider of Enterprise Imaging solutions, is proud to announce that it has joined the Amazon Web Services (AWS) Partner Network (APN) to scale up the global availability of AGFA Enterprise Imaging (AGFA EI) VNA and XERO® Universal Viewer on the cloud. The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings.

Deployment Modes Covered:

  • On-Premise
  • Cloud Based

Solutions Covered:

  • Software Tools/ Platform
  • Services

Technologies Covered:

  • Deep Learning
  • Natural Language Processing (NLP)
  • Other Technologies

Imaging Modes Covered:

  • Computed tomography (CT) Scan
  • Magnetic Resonance Imaging (MRI)
  • Molecular Imaging
  • Nuclear Imaging
  • Ultrasound Imaging
  • X-rays
  • Other Imaging Modes

Applications Covered:

  • Neurology
  • Respiratory and Pulmonary
  • Cardiology
  • Breast Screening
  • Pathology
  • Oral Diagnostics
  • Orthopedics
  • Other Applications

End Users Covered:

  • Clinics
  • Diagnostic Imaging Centers
  • Hospitals
  • Introduction
  • Research Laboratories
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) in Medical Imaging Market, By Deployment Mode

  • 5.1 Introduction
  • 5.2 On-Premise
  • 5.3 Cloud Based

6 Global Artificial Intelligence (AI) in Medical Imaging Market, By Solution

  • 6.1 Introduction
  • 6.2 Software Tools/ Platform
  • 6.3 Services
    • 6.3.1 Integration
    • 6.3.2 Deployment

7 Global Artificial Intelligence (AI) in Medical Imaging Market, By Technology

  • 7.1 Introduction
  • 7.2 Deep Learning
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Other Technologies

8 Global Artificial Intelligence (AI) in Medical Imaging Market, By Imaging Mode

  • 8.1 Introduction
  • 8.2 Computed tomography (CT) Scan
  • 8.3 Magnetic Resonance Imaging (MRI)
  • 8.4 Molecular Imaging
  • 8.5 Nuclear Imaging
  • 8.6 Ultrasound Imaging
  • 8.7 X-rays
  • 8.8 Other Imaging Modes

9 Global Artificial Intelligence (AI) in Medical Imaging Market, By Application

  • 9.1 Introduction
  • 9.2 Neurology
  • 9.3 Respiratory and Pulmonary
  • 9.4 Cardiology
  • 9.5 Breast Screening
  • 9.6 Pathology
  • 9.7 Oral Diagnostics
  • 9.8 Orthopedics
  • 9.9 Other Applications

10 Global Artificial Intelligence (AI) in Medical Imaging Market, By End User

  • 10.1 Introduction
  • 10.2 Clinics
  • 10.3 Diagnostic Imaging Centers
  • 10.4 Hospitals
  • 10.5 Introduction
  • 10.6 Research Laboratories
  • 10.7 Other End Users

11 Global Artificial Intelligence (AI) in Medical Imaging Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 1QB Information Technology
  • 13.2 Agfa-Gevaert Group
  • 13.3 Arterys Inc
  • 13.4 AZmed
  • 13.5 BenevolentAI
  • 13.6 BioXcel Therapeutics Inc
  • 13.7 Butterfly Network
  • 13.8 Caption Health
  • 13.9 CellmatiQ
  • 13.10 dentalXrai
  • 13.11 Digital Diagnostics
  • 13.12 EchoNous
  • 13.13 Enlitic, Inc
  • 13.14 GE Healthcare
  • 13.15 Gleamer
  • 13.16 HeartVista
  • 13.17 IBM Watson Health
  • 13.18 K Health
  • 13.19 Koninklijke Philips
  • 13.20 mPulse Mobile
  • 13.21 Nanox Imaging
  • 13.22 OrCam
  • 13.23 Owkin Inc.
  • 13.24 Siemens Healthineers AG
  • 13.25 Suki AI, Inc
  • 13.26 Ultromics
  • 13.27 Viz.ai, Inc
  • 13.28 ZealthLife technologies Pte. Ltd
  • 13.29 Zebra Medical Vision