日本医疗保健人工智慧市场报告（按产品、技术、应用、最终用户和地区）2025-2033

预计2025年至2033年期间，日本医疗保健领域人工智慧市场规模的复合年增长率（CAGR）将达到18.2%。该市场的发展受到多个关键因素的驱动，包括对客製化药物日益增长的需求、对远端患者监控服务日益增长的兴趣，以及机器学习（ML）方法的持续进步，这些方法能够有效分析医学影像、识别异常情况并准确预测患者结果。

医疗保健领域的人工智慧 (AI) 运用复杂的演算法和计算模型来分析复杂的医疗资料，辅助诊断和治疗，并促进医疗决策过程。该领域涵盖多种人工智慧技术，包括机器学习 (ML)、自然语言处理 (NLP)、电脑视觉和专家系统。它处理大量患者资料，包括电子健康记录 (EHR)、医学影像和基因组信息，以辨别模式并提供预测。它的贡献延伸到疾病的早期发现、个人化治疗策略的发展以及临床决策支援。此外，它还透过提供有价值的见解和数据驱动的建议来协助医疗从业者，从而促进循证决策。

日本医疗保健人工智慧市场趋势：

日本的人工智慧市场正在经历显着的成长和各行各业的创新。凭藉对技术进步的高度重视和强大的研发实力，日本已成为人工智慧领域的重要参与者。市场发展受到多种因素的驱动，包括人工智慧日益融入医疗、製造、金融和机器人等产业。日本人口老化刺激了对人工智慧驱动的医疗解决方案的投资，包括诊断工具、远距医疗和老年护理支援系统。此外，日本政府一直积极推动人工智慧的应用，并提出了「社会5.0」愿景等计划，旨在利用人工智慧和其他技术促进社会进步。日本在灾害应变和自动驾驶领域的尖端人工智慧技术的开发，进一步证明了其对人工智慧的承诺。此外，日本还拥有一个蓬勃发展的专注于人工智慧创新的新创企业生态系统。许多新创公司正在与成熟企业合作，实施这些解决方案，以提高效率、生产力和客户体验。除了国内成长外，日本也持续参与研究活动，促进国际合作与伙伴关係。随着人工智慧的不断发展，区域市场预计将在预测期内持续扩张。

日本医疗保健人工智慧市场细分：

提供见解：

• 硬体
• 软体
• 服务

技术洞察：

• 机器学习
• 情境感知计算
• 自然语言处理
• 其他的

应用程式洞察：

• 机器人辅助手术
• 虚拟护理助理
• 行政工作流程协助
• 诈欺侦测
• 减少剂量误差
• 临床试验参与者识别符
• 初步诊断
• 其他的

最终用户洞察：

• 医疗保健提供者
• 製药和生物技术公司
• 患者
• 其他的

竞争格局：

市场研究报告也对竞争格局进行了全面的分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪錶板和公司评估象限等竞争分析。此外，报告还提供了所有主要公司的详细资料。

本报告回答的关键问题：

• 日本医疗保健人工智慧市场迄今表现如何，未来几年将如何表现？
• COVID-19 对日本医疗保健人工智慧市场有何影响？
• 日本医疗保健人工智慧市场在产品提供上如何细分？
• 日本医疗人工智慧市场在技术层面的分布如何？
• 日本医疗保健人工智慧市场在应用方面的分布如何？
• 日本医疗保健人工智慧市场的最终用户分布如何？
• 日本医疗保健人工智慧市场的价值链分为哪些阶段？
• 日本医疗保健人工智慧的主要驱动因素和挑战是什么？
• 日本医疗保健人工智慧市场的结构是怎样的？主要参与者有哪些？
• 日本医疗人工智慧市场的竞争程度如何？

本报告回答的关键问题：

• 日本医疗保健人工智慧市场迄今表现如何，未来几年将如何表现？
• COVID-19 对日本医疗保健人工智慧市场有何影响？
• 日本医疗保健人工智慧市场在产品提供上如何细分？
• 日本医疗人工智慧市场在技术层面的分布如何？
• 日本医疗保健人工智慧市场在应用方面的分布如何？
• 日本医疗保健人工智慧市场的最终用户分布如何？
• 日本医疗保健人工智慧市场的价值链分为哪些阶段？
• 日本医疗保健人工智慧的主要驱动因素和挑战是什么？
• 日本医疗保健人工智慧市场的结构是怎样的？主要参与者有哪些？
• 日本医疗人工智慧市场的竞争程度如何？

目录

第一章：前言

第二章：范围与方法

• 研究目标
• 利害关係人
• 资料来源
  • 主要来源
  • 次要来源
• 市场评估
  • 自下而上的方法
  • 自上而下的方法
• 预测方法

第三章：执行摘要

第四章：日本医疗保健市场人工智慧 - 简介

• 概述
• 市场动态
• 产业趋势
• 竞争情报

第五章：日本医疗保健人工智慧市场格局

• 历史与当前市场趋势（2019-2024）
• 市场预测（2025-2033）

第六章：日本医疗保健市场人工智慧 - 细分：按产品

• 硬体
  • 概述
• 软体
  • 概述
• 服务
  • 概述

第七章：日本医疗保健市场人工智慧 - 细分：按技术

• 机器学习
  • 概述
• 情境感知计算
  • 概述
• 自然语言处理
  • 概述
• 其他的

第 8 章：日本医疗保健市场人工智慧 - 细分：按应用

• 机器人辅助手术
  • 概述
• 虚拟护理助理
  • 概述
• 行政工作流程协助
  • 概述
• 诈欺侦测
  • 概述
• 减少剂量误差
  • 概述
• 临床试验参与者识别符
  • 概述
• 初步诊断
  • 概述
• 其他的

第九章：日本医疗保健人工智慧市场-细分：按最终用户

• 医疗保健提供者
  • 概述
• 製药和生物技术公司
  • 概述
• 患者
  • 概述
• 其他的

第十章：日本医疗保健市场人工智慧—竞争格局

• 概述
• 市场结构
• 市场参与者定位
• 最佳获胜策略
• 竞争仪錶板
• 公司评估象限

第 11 章：关键参与者简介

• Company A
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company B
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company C
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company D
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events
• Company E
• Business Overview
• Product Portfolio
• Business Strategies
• SWOT Analysis
• Major News and Events

第 12 章：日本医疗保健市场人工智慧 - 产业分析

• 驱动因素、限制因素和机会
  • 概述
  • 驱动程式
  • 限制
  • 机会
• 波特五力分析
  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁
• 价值链分析

第 13 章：附录

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