表紙:医療向けAIの世界市場:業界分析、動向、市場規模、予測 (2026年まで)
市場調査レポート
商品コード
1012430

医療向けAIの世界市場:業界分析、動向、市場規模、予測 (2026年まで)

AI in Healthcare Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026

出版日: | 発行: Infinium Global Research (IGR) | ページ情報: 英文 100 Pages | 納期: 即日から翌営業日

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医療向けAIの世界市場:業界分析、動向、市場規模、予測 (2026年まで)
出版日: 2021年04月01日
発行: Infinium Global Research (IGR)
ページ情報: 英文 100 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

世界の医療向けAI市場は、2020年~2026年の予測期間中に、CAGRで44.82%の成長が予測されています。

当レポートでは、世界の医療向けAI市場について調査分析し、市場促進要因、抑制要因、機会、需要の要因、市場規模、予測、動向などについて、体系的な情報を提供しています。

目次

第1章 序文

第2章 エグゼクティブサマリー

第3章 世界の医療向けAI市場概要

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • 医療向けAI市場に対するCOVID-19の影響分析
  • ポーターのファイブフォース分析
  • IGR - 成長マトリックス分析
  • 医療向けAI市場のバリューチェーン分析

第4章 医療向けAI市場のマクロ指標分析

第5章 世界の医療向けAI市場:提供別

  • ハードウェア
  • ソフトウェア
  • サービス

第6章 世界の医療向けAI市場:技術別

  • 機械学習
  • 自然言語処理
  • コンピュータービジョン
  • コンテキストアウェア処理

第7章 世界の医療向けAI市場:アプリケーション別

  • 患者データ・リスク分析
  • 医療用画像・診断
  • 創薬研究
  • 入院治療・病院管理
  • 医療支援ロボット
  • コネクテッドマシン
  • サイバーセキュリティ
  • バーチャルアシスタント
  • その他

第8章 世界の医療向けAI市場:エンドユーザー別

  • 病院・医療提供者
  • 医療保険者
  • 患者

第9章 世界の医療向けAI市場:地域別

  • 北米
  • 欧州
  • アジア太平洋地域
  • その他の地域

第10章 企業プロファイルと競合情勢

  • 世界の医療向けAI市場の競合情勢
  • 企業プロファイル
    • Siemens AG
    • Intel Corporation
    • NVIDIA Corporation
    • IBM Corporation
    • Progress Software Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • Alphabet Inc. (Google LLC)
    • Koninklijke Philips N.V.
    • GE Healthcare
目次
Product Code: ICT00225

The report on the global AI in healthcare market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global AI in healthcare market to grow with a CAGR of 44.82% over the forecast period from 2020-2026. The study on AI in healthcare market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026.

The report on AI in healthcare market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in healthcare market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in healthcare market over the period of 2018 to 2026. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Report Findings

1) Drivers

  • Increasing use of artificial intelligence to efficiently diagnose diseases
  • Growing importance in administrative workflow assistance

2) Restraints

  • Limitation of AI in healthcare

3) Opportunities

  • Patient and consumer-facing applications

Research Methodology

A) Primary Research

Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include

  • 1. Key Opinion Leaders associated with Infinium Global Research
  • 2. Internal and External subject matter experts
  • 3. Professionals and participants from the industry

Our primary research respondents typically include

  • 1. Executives working with leading companies in the market under review
  • 2. Product/brand/marketing managers
  • 3. CXO level executives
  • 4. Regional/zonal/ country managers
  • 5. Vice President level executives.

B) Secondary Research

Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include

  • 1. Company reports and publications
  • 2. Government/institutional publications
  • 3. Trade and associations journals
  • 4. Databases such as WTO, OECD, World Bank, and among others.
  • 5. Websites and publications by research agencies

Segment Covered

The global AI in healthcare market is segmented on the basis of offering, technology, application, and end-user.

The Global AI in Healthcare Market by Offering

  • Hardware
  • Software
  • Services

The Global AI in Healthcare Market by Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Context Aware Processing

The Global AI in Healthcare Market by Application

  • Patient Data and Risk Analysis
  • Medical Imaging & Diagnostics
  • Drug Research and Discovery
  • Inpatient Care & Hospital Management
  • Healthcare Assistance Robots
  • Connected Machine
  • Cybersecurity
  • Virtual Assistants
  • Other Applications

The Global AI in Healthcare Market by End-user

  • Hospitals and Healthcare Providers
  • Healthcare Payers
  • Patients

Company Profiles

The companies covered in the report include

  • Siemens AG
  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Progress Software Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Alphabet Inc. (Google LLC)
  • Koninklijke Philips N.V.
  • GE Healthcare

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the ai in healthcare market.

2. Complete coverage of all the segments in the ai in healthcare market to analyze the trends, developments in the global market and forecast of market size up to 2026.

3. Comprehensive analysis of the companies operating in the global ai in healthcare market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.

4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

Table of Contents

1. Preface

  • 1.1. Report Description
  • 1.2. Research Methods
  • 1.3. Research Approaches

2. Executive Summary

  • 2.1. AI In Healthcare Market Highlights
  • 2.2. AI In Healthcare Market Projection
  • 2.3. AI In Healthcare Market Regional Highlights

3. Global AI in Healthcare Market Overview

  • 3.1. Introduction
  • 3.2. Market Dynamics
    • 3.2.1. Drivers
    • 3.2.2. Restraints
    • 3.2.3. Opportunities
  • 3.3. Analysis of COVID-19 impact on the AI in Healthcare Market
  • 3.4. Porter's Five Forces Analysis
  • 3.5. IGR-Growth Matrix Analysis
    • 3.5.1. IGR-Growth Matrix Analysis by Offering
    • 3.5.2. IGR-Growth Matrix Analysis by Technology
    • 3.5.3. IGR-Growth Matrix Analysis by Application
    • 3.5.4. IGR-Growth Matrix Analysis by End-User
    • 3.5.5. IGR-Growth Matrix Analysis by Region
  • 3.6. Value Chain Analysis of AI In Healthcare Market

4. AI in Healthcare Market Macro Indicator Analysis

5. Global AI in Healthcare Market by Offering

  • 5.1. Hardware
  • 5.2. Software
  • 5.3. Services

6. Global AI in Healthcare Market by Technology

  • 6.1. Machine Learning
  • 6.2. Natural Language Processing
  • 6.3. Computer Vision
  • 6.4. Context Aware Processing

7. Global AI in Healthcare Market by Application

  • 7.1. Patient Data and Risk Analysis
  • 7.2. Medical Imaging & Diagnostics
  • 7.3. Drug Research and Discovery
  • 7.4. Inpatient Care & Hospital Management
  • 7.5. Healthcare Assistance Robots
  • 7.6. Connected Machine
  • 7.7. Cybersecurity
  • 7.8. Virtual Assistants
  • 7.9. Other Applications

8. Global AI in Healthcare Market by End-user

  • 8.1. Hospitals and Healthcare Providers
  • 8.2. Healthcare Payers
  • 8.3. Patients

9. Global AI in Healthcare Market by Region 2020-2026

  • 9.1. North America
    • 9.1.1. North America AI in Healthcare Market by Offering
    • 9.1.2. North America AI in Healthcare Market by Technology
    • 9.1.3. North America AI in Healthcare Market by Application
    • 9.1.4. North America AI in Healthcare Market by End-user
    • 9.1.5. North America AI in Healthcare Market by Country
  • 9.2. Europe
    • 9.2.1. Europe AI in Healthcare Market by Offering
    • 9.2.2. Europe AI in Healthcare Market by Technology
    • 9.2.3. Europe AI in Healthcare Market by Application
    • 9.2.4. Europe AI in Healthcare Market by End-User
    • 9.2.5. Europe AI in Healthcare Market by Country
  • 9.3. Asia-Pacific
    • 9.3.1. Asia-Pacific AI in Healthcare Market by Offering
    • 9.3.2. Asia-Pacific AI in Healthcare Market by Technology
    • 9.3.3. Asia-Pacific AI in Healthcare Market by Application
    • 9.3.4. Asia-Pacific AI in Healthcare Market by End-user
    • 9.3.5. Asia-Pacific AI in Healthcare Market by Country
  • 9.4. RoW
    • 9.4.1. RoW AI in Healthcare Market by Offering
    • 9.4.2. RoW AI in Healthcare Market by Technology
    • 9.4.3. RoW AI in Healthcare Market by Application
    • 9.4.4. RoW AI in Healthcare Market by End-user
    • 9.4.5. RoW AI in Healthcare Market by Sub-region

10. Company Profiles and Competitive Landscape

  • 10.1. Competitive Landscape in the Global AI In Healthcare Market
  • 10.2. Companies Profiles
    • 10.2.1. Siemens AG
    • 10.2.2. Intel Corporation
    • 10.2.3. NVIDIA Corporation
    • 10.2.4. IBM Corporation
    • 10.2.5. Progress Software Corporation
    • 10.2.6. Microsoft Corporation
    • 10.2.7. Oracle Corporation
    • 10.2.8. Alphabet Inc. (Google LLC)
    • 10.2.9. Koninklijke Philips N.V.
    • 10.2.10. GE Healthcare