市場調査レポート

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1498608

ヘルスケアにおける人工知能の市場規模、シェア、成長分析、コンポーネント別、技術別、用途別、エンドユーザー別、地域別- 産業予測、2024年～2031年

Artificial Intelligence in Healthcare Market Size, Share, Growth Analysis, By Component, By Technology(Machine Learning ), By Application, By End-User, By Region - Industry Forecast 2024-2031

出版日: 2024年06月11日 | 発行: SkyQuest

| ページ情報: 英文 219 Pages | 納期: 3～5営業日

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概要
目次

概要

サンプル依頼リストに入れる

ヘルスケアにおける人工知能 2022年の市場規模は140億9,000万米ドル、予測期間（2024-2031年）のCAGRは38.2%で、2023年の194億8,000万米ドルから2031年には2,591億1,000万米ドルに成長する見込みです。

ヘルスケアにおけるAIの成長を促進する主な利点には、エラーの大幅な削減と医療スタッフへの強固なサポートが含まれます。AI技術の進歩は、24時間365日、継続的に患者サービスを提供する機会を医療機関に提供します。AIは、医療診断、画像分析、治療計画、レントゲンやスキャンなどの処置などの機能において、あらゆる部門で使用される汎用性の高いプラットフォームです。また、チャット・サポート・セッションでの質問対応から集団健康データの分析まで、ビジネス・プロセスを簡素化することで、マンパワーの効率的な活用を可能にし、患者に提供される専門的ケアの質を高める。この能力により、多くの新興企業が予測モデリングに注力するようになり、AIを活用して大規模なデータセットを分析し、将来の医療動向を予測するようになった。日常業務で複数のデータ入力を管理する必要に迫られているヘルスケア組織は、データ統合と自然言語処理のさらなる進歩から恩恵を受けると期待されています。欧州では、AIはすでに、入院患者や管理職の双方において、患者ケアや臨床上の意思決定をサポートするために利用されています。例えば、ジェネレーティブAIは、規制業務の自動化を通じて、看護師が患者のケアに直接費やす時間を20％増やすことを可能にし、看護師の効率を向上させています。機械学習技術は、医療画像分析、予測分析、個別化治療計画、薬剤分析など、ヘルスケア内のさまざまな分野で大きな可能性を提供し、従来の医療行為に革命をもたらす可能性があります。さらに、新しい技術製品に対する需要の増加や、現在のプレイヤーの拡大、新規プレイヤーの出現により、市場は成長すると予想されます。

技術分析
価格分析
バリューチェーン分析
特許分析
PESTEL分析
ケーススタディ分析
- Microsoftは、クリーブランドクリニックと提携して、予測分析と高度な分析を活用し、潜在的なリスクのあるICU患者を特定しました。
- TGENは、Intel Corporation、Dell Technologiesと提携し、コストを削減しながら診断と治療を迅速化できるよう医師と研究者を支援しています。
- Insilicoは、薬剤の特定のための機械学習を活用したツールと、新規化合物の設計のためのChemistry42を開発しました。
- GEヘルスケアは、医療画像データを使用してワークフローの処理時間を短縮することで、患者の治療成果を向上させました。
顧客と購買基準の分析
貿易分析
市場のエコシステム
規制情勢
イノベーションマトリクス
主な投資の分析
主な成功要因
競合の程度

ヘルスケアにおける人工知能市場：コンポーネント別

市場概要
ハードウェア
- プロセッサ
  - MPU/CPU
  - GPU
  - FPGA
  - ASIC
- メモリ
- 通信網
  - アダプタ
  - スイッチ
  - 相互接続
ソフトウェア
- AIプラットフォーム
  - アプリケーションプログラムインターフェース（API）
  - 機械学習フレームワーク
- AIソリューション
  - オンプレミス
  - クラウド
- サービス
  - 展開と統合
  - サポートとメンテナンス

ヘルスケアにおける人工知能市場：技術別

市場概要
機械学習
- ディープラーニング
- 教師付き
- 教師なし
- 強化学習
- その他（強化学習、半教師あり学習）
自然言語処理
- バーチャルリアリティ
- OCCR
- パターンと画像の認識
- 自動コーディング
- 分類とカテゴリー化
- テキスト分析
- 音声分析
コンテキスト認識コンピューティング
- デバイスコンテキスト
- ユーザーコンテキスト
- 物理的なコンテキスト
コンピュータビジョン

ヘルスケアにおける人工知能市場：用途別

市場概要
ロボット支援手術
バーチャルアシスタント
不正行為検出
患者データとリスク分析
医療画像診断
投薬ミスの削減
創薬
ヘルスケアサイバーセキュリティ
ライフスタイル管理と遠隔患者モニタリング
入院患者のケアと病院管理
医療データセキュリティ
医療リスク予測
その他

ヘルスケアにおける人工知能市場：エンドユーザー別

市場概要
病院およびヘルスケア提供者
ヘルスケア支払者
製薬・バイオテクノロジー企業
患者
その他（ACOおよびMCO）

ヘルスケアにおける人工知能市場：地域別規模

市場概要
北米
- 米国
- カナダ
欧州
- ドイツ
- スペイン
- フランス
- 英国
- イタリア
- その他欧州地域
アジア太平洋地域
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋地域
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
中東・アフリカ（MEA）
- GCC諸国
- 南アフリカ
- その他中東・アフリカ地域

競合情勢

上位5社の比較
主要企業の市場ポジショニング（2023年）
主な市場企業が採用した戦略
市場における最近の活動
主要企業の市場シェア（2023年）

主要企業プロファイル

Microsoft Corporation
Alphabet Inc.
NVIDIA Corporation
General Vision, Inc.
Intel Corporation
IBM Corporation
MedicalValues GmbH
General Electric Company
Subtle Medical, Inc
Corti ApS
Qure.ai
Venn Biosciences Corp.
Koninklijke Philips N V.
Siemens Healthineers
Lunit, Inc.
Biobeat
Fuse-AI GmbH
Sirona Medical, Inc.
Qventus, Inc.
Stryker

Product Code: SQMIG35G2090

Artificial Intelligence in Healthcare Market size was valued at USD 14.09 billion in 2022 and is poised to grow from USD 19.48 billion in 2023 to USD 259.11 billion by 2031, growing at a CAGR of 38.2% during the forecast period (2024-2031)

The primary benefits driving the growth of AI in healthcare include the significant reduction of errors and robust support for medical staff. Advances in AI technology provide medical organizations with opportunities to offer patient services continuously, 24/7. AI is a versatile platform used across all departments for functions such as medical diagnostics, image analysis, treatment planning, and procedures like X-rays and scans. It also simplifies business processes, from responding to questions in chat support sessions to analysing population health data, thereby enabling more efficient use of manpower and enhancing the quality of professional care provided to patients. This capability has led many startups to focus on predictive modelling, utilizing AI to analyse large datasets and predict future medical developments. Healthcare organizations, faced with the need to manage multiple data inputs in their daily operations, are expected to benefit from further advancements in data integration and natural language processing. In Europe, AI is already being used to support patient care and clinical decision-making in both in-patient and administrative settings. For example, generative AI has improved the efficiency of nurses by allowing them to spend 20% more time directly caring for patients through the automation of regulatory tasks. Machine learning techniques offer significant potential in various fields within healthcare, including medical imaging analysis, predictive analysis, personalized treatment planning, and drug analysis, where they can revolutionize traditional medical practices. Additionally, the market is anticipated to grow due to the increasing demand for new technological products and the expansion of current players, as well as the emergence of new ones.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence in Healthcare Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence in Healthcare Market Segmental Analysis

The global market for artificial intelligence in healthcare is categorized based on several factors. Components include Hardware (such as processors like MPUs/CPUs, GPUs, FPGAs, ASICs, memory, and network components like adapters, switches, and interconnects), Software (including AI platforms with APIs and machine learning frameworks, and AI solutions available both on-premises and via cloud services), and Services (covering deployment & integration and support & maintenance). Technologies encompass Machine Learning (including deep learning, supervised learning, unsupervised learning, reinforcement learning, and others), Natural Language Processing (IVR, OCR, pattern and image recognition, auto coding, classification and categorization, text analytics, speech analytics), Context-aware Computing (device context, user context, physical context), and Computer Vision. Applications span various areas such as patient data & risk analysis, medical imaging & diagnostics, precision medicine, drug discovery, lifestyle management & remote patient monitoring, virtual assistants, wearables, in-patient care & hospital management, research, emergency room & surgery, mental health, healthcare assistance robots, cybersecurity, and others. End users include hospitals & healthcare providers, healthcare payers, pharmaceutical & biotechnology companies, patients, and others. The market is geographically segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Drivers of the Artificial Intelligence in Healthcare Market

The rise of AI/ML technology in healthcare is driven by the increasing shortage of healthcare professionals. Machine learning models are now being developed to analyze patterns in patient health data, aiding in diagnosis and guiding treatment decisions. Factors such as the Covid-19 pandemic, ongoing mergers and acquisitions, technological partnerships, and government support have significantly accelerated the integration and expansion of AI in healthcare. Initially intended to streamline disease diagnosis, AI/ML algorithms are now widely utilized for identifying Covid-19 positive patients by leveraging comprehensive and personalized patient data.

Restraints in the Artificial Intelligence in Healthcare Market

While AI presents substantial opportunities in healthcare delivery, a critical issue persists: the scarcity of high-quality, curated healthcare data. This limitation poses a significant threat to AI accuracy and consequently patient safety. Challenges in AI implementation include data fragmentation, privacy concerns, and high data acquisition costs, exacerbating the situation. For instance, in November 2023, the WHO issued guidelines addressing the regulatory specifics of AI applications in healthcare. These guidelines emphasize the necessity of robust legal frameworks for data privacy and security to enhance the reliability of AI applications, stressing the importance of collaboration and effectiveness.

Market Trends of the Artificial Intelligence in Healthcare Market

The increasing prevalence of chronic diseases, alongside significant product launches by industry leaders, is a key driver in the healthcare sector's adoption of AI. Our research indicates approximately 9-10 million global cancer deaths in 2023, with an estimated 1,958,310 new cancer cases reported that year. There is a clear emphasis on cancer, tracking various types for new case occurrences. Current statistics on cancer and other persistent illnesses underscore the critical need for precise diagnostic methods and effective treatments. Consequently, the market for AI-driven preventive strategies and early-stage disease detection in healthcare continues to expand rapidly.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Technology Analysis
Pricing Analysis
Value Chain Analysis
Patent Analysis
PESTEL Analysis
Case Study Analysis
- Microsoft partnered with Cleveland Clinic to utilize predictive and advanced analytics for identifying potential at-risk ICU patients.
- TGEN teamed up with Intel Corporation and Dell Technologies to aid physicians and researchers in accelerating diagnosis and treatment while reducing costs.
- Insilico developed machine learning-powered tools for drug identification and Chemistry42 for designing novel compounds.
- GE Healthcare enhanced patient outcomes by reducing workflow processing time using medical imaging data.
Customer & Buying Criteria Analysis
Trade Analysis
Ecosystem of the Market
Regulatory Landscape
Innovation Matrix
Top Investment Analysis
Key Success Factor
Degree of Competition

Artificial Intelligence in Healthcare Market by Component

Market Overview
Hardware
- Processor
  - MPUs/CPUs
  - GPUs
  - FPGAs
  - ASICs
- Memory
- Network
  - Adapter
  - Switch
  - Interconnect
Software
- AI Platform
  - Application Program Interface (API)
  - Machine learning Framework
- AI Solution
  - On-Premises
  - Cloud
- Services
  - Deployment & Integration
  - Support & Maintenance

Artificial Intelligence in Healthcare Market by Technology

Market Overview
Machine Learning
- Deep Learning
- Supervised
- Unsupervised
- Reinforcement Learning
- Others (Reinforcement Learning, Semi-supervised)
Natural Language Processing
- IVR
- OCR
- Pattern and Image Recognition
- Auto Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
Context-aware Computing
- Device Context
- User Context
- Physical Context
Computer Vision

Artificial Intelligence in Healthcare Market by Application

Market Overview
Robot-Assisted Sugery
Virtual Assistants
Fraud Detection
Patient Data & Risk Analysis
Medical Imaging & Diagnostics
Dosage Error Reduction
Drug Discovery
Healthcare Cybersecurity
Lifestyle Management & Remote Patient Monitoring
In-Patient Care & Hospital Management
Medical Data Security
Medical Risk Prediction
Others

Artificial Intelligence in Healthcare Market by End User

Market Overview
Hospitals & healthcare providers
Healthcare Payers
Pharmaceutical & Biotechnology Companies
Patients
Others (ACOs & MCOs)

Artificial Intelligence in Healthcare Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Microsoft Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alphabet Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Vision, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
MedicalValues GmbH
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
General Electric Company
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Subtle Medical, Inc
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Corti ApS
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qure.ai
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Venn Biosciences Corp.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Koninklijke Philips N V.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens Healthineers
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Lunit, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Biobeat
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fuse-AI GmbH
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Sirona Medical, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qventus, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Stryker
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments