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ヘルスケアにおける人工知能市場レポート：オファリング、技術、用途、エンドユーザー、地域別、2024～2032年

Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End-User, and Region 2024-2032
出版日: | 発行: IMARC | ページ情報: 英文 145 Pages | 納期: 2～3営業日

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価格
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本日の銀行送金レート: 1USD=154.94円
ヘルスケアにおける人工知能市場レポート：オファリング、技術、用途、エンドユーザー、地域別、2024～2032年
出版日: 2024年04月08日
発行: IMARC
ページ情報: 英文 145 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

ヘルスケアにおける人工知能の世界市場規模は、2023年に61億米ドルに達しました。今後、IMARC Groupは、2024～2032年にかけて27.4%の成長率（CAGR）を示し、2032年までに572億米ドルに達すると予測しています。個別化された薬への需要の高まり、遠隔患者監視施設の人気の高まり、ヘルスケア画像の分析、異常の検出、患者の転帰を効率的に予測するための機械学習（ML）技術の進歩の増加は、市場を推進する主要要因の一部です。

ヘルスケアにおける人工知能（AI）とは、複雑なヘルスケアデータを分析し、診断と治療を支援し、ヘルスケアの意思決定プロセスをサポートするために、インテリジェントなアルゴリズムと計算モデルを適用することです。機械学習（ML）、自然言語処理（NLP）、コンピュータビジョン、エキスパートシステムなど、さまざまなAI技術が含まれます。電子カルテ（EHR）、ヘルスケア画像、ゲノムデータなど、大量の患者データを分析し、パターンを特定して予測を行う。疾患の早期発見、個別化された治療計画、臨床的意思決定支援に役立ちます。さらに、データ分析別の貴重な洞察や推奨事項を提供することで、ヘルスケア専門家がエビデンス別の意思決定を行うのを支援することができます。

現在、ヘルスケア研究や医薬品開発プロセスを改善することから、ヘルスケアにおけるAIの需要が増加しており、市場の成長を後押ししています。このほか、デジタルEHR、ヘルスケア画像、ゲノム情報など、ヘルスケア業界で生成されるデータ量の増加が市場の成長に寄与しています。さらに、ヘルスケア画像を効率的に分析し、異常を検出し、患者の転帰を予測するためのML技術の進歩の高まりは、良好な市場展望を提供しています。これとは別に、エビデンス別の推奨や治療ガイドラインを提供し、ヘルスケア専門家が正確で情報に基づいた意思決定を行うのを支援する臨床意思決定支援システムに対する需要の増加が、市場の成長を支えています。さらに、ヘルスケアにおけるAIの導入を促進するために、多くの国の政府機関が政策やインセンティブを導入する動きが活発化していることも、市場の成長を後押ししています。

ヘルスケアにおける人工知能市場動向と促進要因：

個別化された医薬品に対する需要の高まり

個別化された医薬品は、遺伝学、ライフスタイル、病歴など、個人の固有の特性に合わせて調整されます。これらの要素を考慮することで、個別化された医薬品は、従来の画一的なアプローチと比較して、特定の症状の治療においてより効果的である可能性を秘めています。これに加えて、個別化された医薬品は、各患者の特定の特徴に基づいて的を絞った治療を提供することを目指しており、より正確な診断とオーダーメイドの治療を可能にしています。さらに、個別化ヘルスケアの開発におけるAIの統合は、そのプロセスの精度を向上させています。また、各患者の特異的な特徴別の標的治療の実現を目指す特定のバイオマーカーの特定にも役立っており、より正確な診断とオーダーメイドの治療が可能となっています。

遠隔患者モニタリングの普及

遠隔患者モニタリングでは、自宅にいながら自分の健康状態を把握できるため、ヘルスケア施設に頻繁に出向く必要がなくなります。これにより、移動、待合室、その他ヘルスケアに関連する不便さが制限され、患者の満足度向上につながります。特に遠隔地やヘルスケアサービスが行き届いていない地域の患者にとっては、ヘルスケアへのアクセスが向上し、患者はヘルスケア提供者とつながり、場所に関係なく質の高いケアを受けることができます。人工知能（AI）と統合されたヘルスケア機器の採用によるリアルタイムのモニタリングにより、ヘルスケア提供者は患者の健康状態の異常や逸脱を迅速に発見することができます。ヘルスケアにおけるAIは、プロセスの有効性と効率性を高めることで、遠隔患者モニタリングにおいて重要な役割を果たしています。

大衆における慢性疾患の増加

現在、長時間の座位、身体活動の低下、不健康な食習慣など、不活発なライフスタイルに起因する慢性疾患の有病率が上昇しています。こうした生活習慣は、肥満、糖尿病、心血管疾患といった疾患の発生に寄与しています。加えて、加工食品、砂糖入り飲料、飽和脂肪酸を多く含む食品の過剰摂取を含む食生活の乱れも、慢性疾患の発症に寄与しています。慢性疾患の増加は入院率の上昇にもつながり、AIを取り入れた効果的な治療法の需要が高まっています。ヘルスケアにおけるAIは、スクリーニング・プロセスを改善し、様々な慢性疾患の発見を可能にしています。また、ヘルスケア専門家が正しい判断を下し、正確な診断を下すための支援にもなっています。

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要産業動向

第5章 ヘルスケアにおける人工知能の世界市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：オファリング別

  • ハードウェア
  • ソフトウェア
  • サービス

第7章 市場内訳：技術別

  • 機械学習
  • コンテキスト・アウェア・コンピューティング
  • 自然言語処理
  • その他

第8章 市場内訳：用途別

  • ロボット支援手術
  • バーチャル看護アシスタント
  • 事務ワークフローアシスト
  • 不正検知
  • 投与エラー削減
  • 臨床試験参加者識別子
  • 予備診断
  • その他

第9章 市場内訳：エンドユーザー別

  • ヘルスケアプロバイダー
  • 製薬・バイオ企業
  • 患者
  • その他

第10章 市場内訳：地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
    • インドネシア
    • その他
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ロシア
    • その他
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他
  • 中東・アフリカ
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第11章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第14章 価格指標

第15章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Amazon Web Services Inc.
    • Cloudmedx Inc.
    • DeepMind
    • Enlitic Inc.
    • General Vision Inc.
    • Google Inc.
    • International Business Machines
    • iCarbonX
    • Intel Corporation
    • Medtronic
    • Micron Technology Inc.
    • Microsoft Corporation
    • Next It Corporation
    • Nuance Communications Inc.
    • Nvidia Corporation
    • Siemens Healthcare
    • Welltok Inc.
図表

List of Figures

  • Figure 1: Global: Artificial Intelligence in Healthcare Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence in Healthcare Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Artificial Intelligence in Healthcare Market: Breakup by Offering (in %), 2023
  • Figure 4: Global: Artificial Intelligence in Healthcare Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Artificial Intelligence in Healthcare Market: Breakup by Application (in %), 2023
  • Figure 6: Global: Artificial Intelligence in Healthcare Market: Breakup by End-User (in %), 2023
  • Figure 7: Global: Artificial Intelligence in Healthcare Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 9: Global: Artificial Intelligence in Healthcare (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Artificial Intelligence in Healthcare (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Artificial Intelligence in Healthcare (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Artificial Intelligence in Healthcare (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Artificial Intelligence in Healthcare (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Artificial Intelligence in Healthcare (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Artificial Intelligence in Healthcare (Machine Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Artificial Intelligence in Healthcare (Machine Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Global: Artificial Intelligence in Healthcare (Patients) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Global: Artificial Intelligence in Healthcare (Patients) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: North America: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: North America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: United States: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: United States: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Canada: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Canada: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Asia Pacific: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Asia Pacific: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: China: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: China: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Japan: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Japan: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: India: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: India: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: South Korea: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: South Korea: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Australia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Australia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Indonesia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Indonesia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Europe: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Europe: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Germany: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Germany: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: France: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: France: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: United Kingdom: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: United Kingdom: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Italy: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Italy: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Spain: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Spain: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Russia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Russia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Latin America: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Latin America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 87: Brazil: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 88: Brazil: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 89: Mexico: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 90: Mexico: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 91: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 92: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 93: Middle East and Africa: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 94: Middle East and Africa: Artificial Intelligence in Healthcare Market: Breakup by Country (in %), 2023
  • Figure 95: Middle East and Africa: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 96: Global: Artificial Intelligence in Healthcare Industry: SWOT Analysis
  • Figure 97: Global: Artificial Intelligence in Healthcare Industry: Value Chain Analysis
  • Figure 98: Global: Artificial Intelligence in Healthcare Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence in Healthcare Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Offering (in Million US$), 2024-2032
  • Table 3: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 4: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 5: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by End-User (in Million US$), 2024-2032
  • Table 6: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Artificial Intelligence in Healthcare Market Structure
  • Table 8: Global: Artificial Intelligence in Healthcare Market: Key Players
目次
Product Code: SR112024A2079

The global artificial intelligence in healthcare market size reached US$ 6.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 57.2 Billion by 2032, exhibiting a growth rate (CAGR) of 27.4% during 2024-2032. The growing demand for personalized medications, rising popularity of remote patient monitoring facilities, and increasing advancements in machine learning (ML) techniques for analyzing medical images, detecting anomalies, and predicting patient outcomes efficiently are some of the major factors propelling the market.

Artificial intelligence (AI) in healthcare is the application of intelligent algorithms and computational models to analyze complex medical data, assist in diagnosis and treatment, and support healthcare decision-making processes. It encompasses various AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It analyzes large volumes of patient data, including electronic health records (EHR), medical images, and genomic data, to identify patterns and make predictions. It aids in early disease detection, personalized treatment planning, and clinical decision support. Furthermore, it can assist healthcare professionals in making evidence-based decisions by providing valuable insights and recommendations based on data analysis.

At present, the increasing demand for AI in healthcare as it improves medical research and drug development processes is impelling the growth of the market. Besides this, the rising amount of data generated in the healthcare industry, including digital EHR, medical images, and genomic information, is contributing to the growth of the market. In addition, the growing advancements in ML techniques for efficiently analyzing medical images, detecting anomalies, and predicting patient outcomes are offering a favorable market outlook. Apart from this, the increasing demand for clinical decision support systems that offer evidence-based recommendations and treatment guidelines and assist healthcare professionals in making accurate and informed decisions is supporting the growth of the market. Additionally, the rising implementation of policies and incentives by governing agencies of numerous countries to promote the adoption of AI in healthcare is bolstering the growth of the market.

Artificial Intelligence in Healthcare Market Trends/Drivers:

Rising demand for personalized medications

Personalized medications are tailored to the unique characteristics of individuals, such as genetics, lifestyle, and medical history. By considering these factors, personalized medications possess the potential to be more effective in treating specific conditions compared to traditional one-size-fits-all approaches. Besides this, personalized medications aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies. In addition, the integration of AI in the development of personalized medication is improving the accuracy of the process. It is also helping in identifying specific biomarkers that aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies.

Increasing popularity of remote patient monitoring

Remote patient monitoring enables individuals to track their health from the comfort of their own homes, eliminating the need for frequent trips to healthcare facilities. This limits the inconvenience of travel, waiting rooms, and other healthcare-related inconveniences, leading to improved patient satisfaction. It enhances healthcare accessibility, particularly for those in remote or underserved areas, allowing patients to connect with healthcare providers and receive high-quality care regardless of their location. Real-time monitoring by employing medical devices integrated with artificial intelligence (AI) enables healthcare providers to promptly detect any abnormalities or deviations in patient health. AI in healthcare plays a crucial role in remote patient monitoring by enhancing the effectiveness and efficiency of the process.

Increasing occurrence of chronic disorders among the masses

Presently, there is a rise in the prevalence of chronic illnesses caused by inactive lifestyles, such as prolonged sitting, decreased physical activity, and unhealthy eating habits. These lifestyle factors contribute to the emergence of conditions like obesity, diabetes, and cardiovascular diseases. In addition, poor dietary choices involving excessive consumption of processed foods, sugary drinks, and foods high in saturated fats also contribute to the development of chronic ailments. The increase in chronic diseases is also driving hospitalization rates and the demand for effective treatment methods by incorporating AI. AI in healthcare is improving the screening process and detection of various chronic disorders. It is also assisting healthcare professionals to make the correct decision and accurate diagnoses.

Artificial Intelligence in Healthcare Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence in healthcare market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on offering, technology, application, and end-user.

Breakup by Offering:

Hardware

Software

Services

Software dominates the market

The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware, software, and services. According to the report, software represented the largest segment.

Software associated with AI in healthcare comprises electronic health record (EHR) systems, imaging analysis software, clinical decision support systems (CDSS), and natural language processing (NPL) tools. They digitally store and manage patient health records and analyze and extract valuable insights from the vast amount of patient data, facilitating decision-making, personalized treatment planning, and clinical research. They utilize computer vision and machine learning (ML) algorithms to assist radiologists in detecting abnormalities, making diagnoses, and providing quantitative measurements. They can extract relevant information, classify and categorize text, and enable voice-to-text transcription. They also enable continuous monitoring of vital signs, activity levels, and other health parameters to predict health deterioration and alert healthcare providers in real-time.

Breakup by Technology:

Machine Learning

Context Aware Computing

Natural Language Processing

Others

Machine learning holds the largest share in the market

A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, context aware computing, natural language processing, and others. According to the report, machine learning accounted for the largest market share.

Machine learning (ML) algorithms are employed to analyze patient data, such as electronic health records (EHR), medical imaging, and genetic information, to assist in disease diagnosis and prognosis. These algorithms identify patterns, classify diseases, and predict patient outcomes, aiding healthcare professionals in making accurate and timely decisions. They are capable of detecting abnormalities, segmenting organs and tumors, and assisting radiologists in interpreting images. ML-based image analysis improves diagnostic accuracy, reduces interpretation time, and enhances early detection of diseases. ML models also predict patient outcomes by analyzing large datasets, including clinical records, genomic data, and lifestyle factors. Furthermore, they can analyze EHR to uncover valuable insights, such as disease trends, treatment patterns, and population health indicators.

Breakup by Application:

Robot-Assisted Surgery

Virtual Nursing Assistant

Administrative Workflow Assistance

Fraud Detection

Dosage Error Reduction

Clinical Trial Participant Identifier

Preliminary Diagnosis

Others

Clinical trial participant identifier holds the biggest share in the market

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to the report, clinical trial participant identifier accounted for the largest market share.

A clinical trial participant identifier is assigned to individuals enrolled in a clinical trial to protect their privacy and confidentiality. It is used instead of personal identifying information (such as name or social security number) to ensure anonymity and protect the identity of participants. It helps ensure data integrity and security in clinical trials. By using identifiers instead of personal information, the potential for data errors or inconsistencies due to human error or data entry mistakes is reduced. It also helps protect sensitive information from being inadvertently disclosed or misused.

Robot-assisted surgery, also known as robotic surgery, refers to a surgical technique that utilizes robotic systems to aid surgeons in performing complex procedures with enhanced precision, dexterity, and control. It involves the use of robotic arms, specialized instruments, and a computer console operated by a surgeon.

Breakup by End-User:

Healthcare Providers

Pharmaceutical and Biotechnology Companies

Patients

Others

Pharmaceutical and biotechnology companies hold the maximum share in the market

A detailed breakup and analysis of the market based on the end-user have also been provided in the report. This includes healthcare providers, pharmaceutical and biotechnology companies, patients, and others. According to the report, pharmaceutical and biotechnology companies accounted for the largest market share.

Pharmaceutical and biotechnology companies are embracing the use of AI due to its transformative potential across various aspects of their operations. AI offers unprecedented opportunities to revolutionize drug discovery and development processes by leveraging data-driven approaches and computational modeling. Through AI algorithms, these companies can analyze vast amounts of biological and chemical data to identify potential drug targets, predict drug activity, and optimize drug design, significantly speeding up the traditionally time-consuming and expensive drug development pipeline. Additionally, AI enables precision medicine by leveraging patient data, genomics, and clinical records to develop personalized treatment approaches. AI algorithms can identify biomarkers or genetic variations associated with disease susceptibility and treatment response, allowing for targeted therapies and patient subgroup identification.

Breakup by Region:

North America

United States

Canada

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest artificial intelligence in healthcare market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America held the biggest market share since the region has an efficient medical infrastructure. Moreover, the rising occurrence of various chronic disorders among the masses is contributing to the growth of the market.

Another contributing aspect is the growing adoption of robust technology infrastructure, including advanced computing capabilities, cloud computing resources, and data storage capacities in the healthcare sector.

Asia Pacific is estimated to expand further in this domain due to the rising construction of various hospitals, clinics, and nursing homes to provide quality healthcare services. Apart from this, increasing healthcare expenditures among the masses is propelling the market growth.

Competitive Landscape:

Key market players are investing in research operations to improve their AI capabilities. They are also allocating significant resources to develop new algorithms, models, and platforms that can enhance the accuracy, efficiency, and effectiveness of AI applications in healthcare. Top companies are expanding and diversifying their product portfolios to meet evolving market needs. They are also developing and launching new AI-powered solutions and platforms for various healthcare domains, including diagnostic imaging, clinical decision support, remote patient monitoring, genomics, and drug discovery. Leading companies are focusing on strategic partnerships and collaborations to enhance their market reach, access new customer segments, and leverage complementary technologies.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc.

Cloudmedx Inc.

DeepMind

Enlitic Inc.

General Vision Inc.

Google Inc.

International Business Machines

iCarbonX

Intel Corporation

Medtronic

Micron Technology Inc.

Microsoft Corporation

Next It Corporation

Nuance Communications Inc.

Nvidia Corporation

Siemens Healthcare

Welltok Inc.

Recent Developments:

In March 2023, Medtronic plc announced a strategic collaboration with Cosmo Pharmaceutical and Nvidia Corporation to deliver the GI Genius(TM) intelligent endoscopy module - the first FDA-cleared, AI-assisted colonoscopy tool to help physicians detect polyps that can lead to colorectal cancer.

In March 2023, Nvidia Corporation announced the launch of an expanded set of generative AI cloud services for customizing AI foundation models to accelerate the production of novel proteins and therapeutics.

In November 2022, Nuance Communications Inc. announced a partnership with Nvidia Corporation for bringing medical imaging AI models directly into clinical settings and improving patient care solutions.

Key Questions Answered in This Report

  • 1. What was the size of the global artificial intelligence in healthcare market in 2023?
  • 2. What is the expected growth rate of the global artificial intelligence in healthcare market during 2024-2032?
  • 3. What has been the impact of COVID-19 on the global artificial intelligence in healthcare market?
  • 4. What are the key factors driving the global artificial intelligence in healthcare market?
  • 5. What is the breakup of the global artificial intelligence in healthcare market based on the offering?
  • 6. What is the breakup of the global artificial intelligence in healthcare market based on the technology?
  • 7. What is the breakup of the global artificial intelligence in healthcare market based on the application?
  • 8. What is the breakup of the global artificial intelligence in healthcare market based on the end-user?
  • 9. What are the key regions in the global artificial intelligence in healthcare market?
  • 10. Who are the key players/companies in the global artificial intelligence in healthcare market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence in Healthcare Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 Machine Learning
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Context Aware Computing
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Natural Language Processing
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Others
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Robot-Assisted Surgery
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Virtual Nursing Assistant
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Administrative Workflow Assistance
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Fraud Detection
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Dosage Error Reduction
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Clinical Trial Participant Identifier
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Preliminary Diagnosis
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Others
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast

9 Market Breakup by End-User

  • 9.1 Healthcare Providers
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Pharmaceutical and Biotechnology Companies
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Patients
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Others
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Indicators

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Amazon Web Services Inc.
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
    • 15.3.2 Cloudmedx Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 DeepMind
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
    • 15.3.4 Enlitic Inc.
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 General Vision Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
    • 15.3.6 Google Inc.
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 SWOT Analysis
    • 15.3.7 International Business Machines
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 iCarbonX
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
    • 15.3.9 Intel Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Medtronic
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Micron Technology Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 Financials
      • 15.3.11.4 SWOT Analysis
    • 15.3.12 Microsoft Corporation
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 Next It Corporation
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
    • 15.3.14 Nuance Communications Inc.
      • 15.3.14.1 Company Overview
      • 15.3.14.2 Product Portfolio
      • 15.3.14.3 Financials
      • 15.3.14.4 SWOT Analysis
    • 15.3.15 Nvidia Corporation
      • 15.3.15.1 Company Overview
      • 15.3.15.2 Product Portfolio
      • 15.3.15.3 Financials
      • 15.3.15.4 SWOT Analysis
    • 15.3.16 Siemens Healthcare
      • 15.3.16.1 Company Overview
      • 15.3.16.2 Product Portfolio
      • 15.3.16.3 Financials
      • 15.3.16.4 SWOT Analysis
    • 15.3.17 Welltok Inc.
      • 15.3.17.1 Company Overview
      • 15.3.17.2 Product Portfolio