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日本のヘルスケアにおける人工知能市場レポート：提供、技術、用途、エンドユーザー、地域別、2025年～2033年

Japan Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End User, and Region 2025-2033

出版日
発行
IMARC
ページ情報
英文 116 Pages
納期
5～7営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
日本のヘルスケアにおける人工知能市場レポート：提供、技術、用途、エンドユーザー、地域別、2025年～2033年
出版日: 2025年06月02日
発行: IMARC
ページ情報: 英文 116 Pages
納期: 5～7営業日
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  • 全表示
  • 概要
  • 目次
概要

日本のヘルスケアにおける人工知能市場規模は、2025～2033年の間に18.2％の成長率（CAGR）を示すと予測されています。同市場は、オーダーメイド薬へのニーズの高まり、遠隔患者モニタリングサービスへの関心の高まり、医療画像を効果的に分析し、異常箇所を特定し、患者の結果を正確に予測するための機械学習（ML）手法の継続的な進歩など、いくつかの重要な要因によって牽引されています。

本レポートで扱う主な質問

  • 日本のヘルスケアにおける人工知能市場はこれまでどのように推移し、今後どのように推移していくのか？
  • COVID-19が日本のヘルスケアにおける人工知能市場に与えた影響は？
  • 日本のヘルスケアにおける人工知能市場の提供別区分は？
  • 日本のヘルスケアにおける人工知能市場の技術別区分は？
  • 日本のヘルスケアにおける人工知能市場の用途別区分は？
  • 日本のヘルスケアにおける人工知能市場のエンドユーザー別区分は？
  • 日本のヘルスケアにおける人工知能市場のバリューチェーンにおける様々なステージとは？
  • 日本のヘルスケアにおける人工知能の主要な促進要因と課題は何か？
  • 日本のヘルスケアにおける人工知能市場の構造と主要企業は？
  • 日本のヘルスケアにおける人工知能市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査の目的
  • ステークホルダー
  • データソース
  • 市場推定
  • 調査手法

第3章 エグゼクティブサマリー

第4章 日本のヘルスケアにおける人工知能市場-イントロダクション

  • 概要
  • 市場力学
  • 業界動向
  • 競合情報

第5章 日本のヘルスケアにおける人工知能市場情勢

  • 過去および現在の市場動向（2019～2024年）
  • 市場予測（2025～2033年）

第6章 日本のヘルスケアにおける人工知能市場- 提供別の内訳

  • ハードウェア
  • ソフトウェア
  • サービス

第7章 日本のヘルスケアにおける人工知能市場- 技術別の内訳

  • 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 日本のヘルスケアにおける人工知能市場- 用途別の内訳

  • ロボット支援手術
  • バーチャル看護助手
  • 管理ワークフロー支援
  • 不正行為検出
  • 投与量誤差の削減
  • 臨床試験参加者識別子
  • 予備診断
  • その他

第9章 日本のヘルスケアにおける人工知能市場- エンドユーザー別の内訳

  • ヘルスケア提供者
  • 製薬およびバイオテクノロジー企業
  • 患者
  • その他

第10章 日本のヘルスケアにおける人工知能市場-競合情勢

  • 概要
  • 市場構造
  • 市場企業のポジショニング
  • 主要成功戦略
  • 競合ダッシュボード
  • 企業評価象限

第11章 主要企業のプロファイル

第12章 日本のヘルスケアにおける人工知能市場- 業界分析

  • 促進要因・抑制要因・機会
  • ポーターのファイブフォース分析
  • バリューチェーン分析

第13章 付録

目次
Product Code: SR112025A18992

Japan artificial intelligence in healthcare market size is projected to exhibit a growth rate (CAGR) of 18.2% during 2025-2033. The market is being driven by several key factors, including the increasing need for customized medications, the surging interest in remote patient monitoring services, and the continuous advancements in machine learning (ML) methods for effectively analyzing medical images, identifying irregularities, and accurately forecasting patient results.

Artificial intelligence (AI) in healthcare involves the utilization of sophisticated algorithms and computational models to examine intricate medical data, aid in diagnosis and treatment, and facilitate healthcare decision-making processes. This field encompasses a variety of AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It processes extensive sets of patient data, encompassing electronic health records (EHR), medical imagery, and genomic information, to discern patterns and offer predictions. Its contributions extend to the early detection of diseases, the formulation of personalized treatment strategies, and support for clinical decision-making. Furthermore, it assists healthcare practitioners by providing valuable insights and data-driven recommendations, contributing to evidence-based decision-making.

Japan Artificial Intelligence in Healthcare Market Trends:

The artificial intelligence market in Japan is experiencing remarkable growth and innovation across various sectors. With a strong emphasis on technological advancements and a robust research and development landscape, Japan has positioned itself as a major player in the AI arena. The market is driven by a multitude of factors, including the increasing integration of artificial intelligence into industries such as healthcare, manufacturing, finance, and robotics. Japan's aging population has spurred investments in AI-driven healthcare solutions, including diagnostic tools, telemedicine, and elder care support systems. Moreover, the Japanese government has been actively promoting AI adoption through initiatives like the "Society 5.0" vision, which seeks to harness AI and other technologies for societal advancement. The country's commitment to AI is further evidenced by the development of cutting-edge AI technologies for disaster response and autonomous transportation. Besides this, Japan is also home to a thriving startup ecosystem focused on AI innovation. Many startups are collaborating with established enterprises to implement these solutions that enhance efficiency, productivity, and customer experiences. In addition to its domestic growth, Japan is increasingly participating in the research activities, fostering international collaborations and partnerships. As AI continues to evolve, regional market is poised for sustained expansion over the forecasted period.

Japan Artificial Intelligence in Healthcare Market Segmentation:

Offering Insights:

  • Hardware
  • Software
  • Services

Technology Insights:

  • Machine Learning
  • Context-Aware Computing
  • Natural Language Processing
  • Others

Application Insights:

  • Robot-Assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

End User Insights:

  • Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Patients
  • Others

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Key Questions Answered in This Report:

  • How has the Japan artificial intelligence in healthcare market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan artificial intelligence in healthcare market?
  • What is the breakup of the Japan artificial intelligence in healthcare market on the basis of offering?
  • What is the breakup of the Japan artificial intelligence in healthcare market on the basis of technology?
  • What is the breakup of the Japan artificial intelligence in healthcare market on the basis of application?
  • What is the breakup of the Japan artificial intelligence in healthcare market on the basis of end user?
  • What are the various stages in the value chain of the Japan artificial intelligence in healthcare market?
  • What are the key driving factors and challenges in the Japan artificial intelligence in healthcare?
  • What is the structure of the Japan artificial intelligence in healthcare market and who are the key players?
  • What is the degree of competition in the Japan 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 Japan Artificial Intelligence in Healthcare Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Artificial Intelligence in Healthcare Market Landscape

  • 5.1 Historical and Current Market Trends (2019-2024)
  • 5.2 Market Forecast (2025-2033)

6 Japan Artificial Intelligence in Healthcare Market - Breakup by Offering

  • 6.1 Hardware
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Software
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Services
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)

7 Japan Artificial Intelligence in Healthcare Market - Breakup by Technology

  • 7.1 Machine Learning
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 Context-Aware Computing
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)
  • 7.3 Natural Language Processing
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2019-2024)
    • 7.3.3 Market Forecast (2025-2033)
  • 7.4 Others
    • 7.4.1 Historical and Current Market Trends (2019-2024)
    • 7.4.2 Market Forecast (2025-2033)

8 Japan Artificial Intelligence in Healthcare Market - Breakup by Application

  • 8.1 Robot-Assisted Surgery
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Virtual Nursing Assistant
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)
  • 8.3 Administrative Workflow Assistance
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2019-2024)
    • 8.3.3 Market Forecast (2025-2033)
  • 8.4 Fraud Detection
    • 8.4.1 Overview
    • 8.4.2 Historical and Current Market Trends (2019-2024)
    • 8.4.3 Market Forecast (2025-2033)
  • 8.5 Dosage Error Reduction
    • 8.5.1 Overview
    • 8.5.2 Historical and Current Market Trends (2019-2024)
    • 8.5.3 Market Forecast (2025-2033)
  • 8.6 Clinical Trial Participant Identifier
    • 8.6.1 Overview
    • 8.6.2 Historical and Current Market Trends (2019-2024)
    • 8.6.3 Market Forecast (2025-2033)
  • 8.7 Preliminary Diagnosis
    • 8.7.1 Overview
    • 8.7.2 Historical and Current Market Trends (2019-2024)
    • 8.7.3 Market Forecast (2025-2033)
  • 8.8 Others
    • 8.8.1 Historical and Current Market Trends (2019-2024)
    • 8.8.2 Market Forecast (2025-2033)

9 Japan Artificial Intelligence in Healthcare Market - Breakup by End User

  • 9.1 Healthcare Providers
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 Pharmaceutical and Biotechnology Companies
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)
  • 9.3 Patients
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2019-2024)
    • 9.3.3 Market Forecast (2025-2033)
  • 9.4 Others
    • 9.4.1 Historical and Current Market Trends (2019-2024)
    • 9.4.2 Market Forecast (2025-2033)

10 Japan Artificial Intelligence in Healthcare Market - Competitive Landscape

  • 10.1 Overview
  • 10.2 Market Structure
  • 10.3 Market Player Positioning
  • 10.4 Top Winning Strategies
  • 10.5 Competitive Dashboard
  • 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

  • 11.1 Company A
    • 11.1.1 Business Overview
    • 11.1.2 Product Portfolio
    • 11.1.3 Business Strategies
    • 11.1.4 SWOT Analysis
    • 11.1.5 Major News and Events
  • 11.2 Company B
    • 11.2.1 Business Overview
    • 11.2.2 Product Portfolio
    • 11.2.3 Business Strategies
    • 11.2.4 SWOT Analysis
    • 11.2.5 Major News and Events
  • 11.3 Company C
    • 11.3.1 Business Overview
    • 11.3.2 Product Portfolio
    • 11.3.3 Business Strategies
    • 11.3.4 SWOT Analysis
    • 11.3.5 Major News and Events
  • 11.4 Company D
    • 11.4.1 Business Overview
    • 11.4.2 Product Portfolio
    • 11.4.3 Business Strategies
    • 11.4.4 SWOT Analysis
    • 11.4.5 Major News and Events
  • 11.5 Company E
    • 11.5.1 Business Overview
    • 11.5.2 Product Portfolio
    • 11.5.3 Business Strategies
    • 11.5.4 SWOT Analysis
    • 11.5.5 Major News and Events

12 Japan Artificial Intelligence in Healthcare Market - Industry Analysis

  • 12.1 Drivers, Restraints, and Opportunities
    • 12.1.1 Overview
    • 12.1.2 Drivers
    • 12.1.3 Restraints
    • 12.1.4 Opportunities
  • 12.2 Porters Five Forces Analysis
    • 12.2.1 Overview
    • 12.2.2 Bargaining Power of Buyers
    • 12.2.3 Bargaining Power of Suppliers
    • 12.2.4 Degree of Competition
    • 12.2.5 Threat of New Entrants
    • 12.2.6 Threat of Substitutes
  • 12.3 Value Chain Analysis

13 Appendix