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医疗影像人工智慧市场：2023年至2028年预测
市场调查报告书
商品编码
1410023

医疗影像人工智慧市场：2023年至2028年预测

AI In Medical Imaging Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

2021年医疗影像AI市场估值为10.63亿美元。

随着人工智慧创新在医疗产业的不断落地，人工智慧在医学影像诊断市场的成长已得到根本性发展。由于对更准确、更有效的诊断工具的需求不断增长，医疗影像处理领域人工智慧的市场规模不断增长。医学影像领域的人工智慧市场占有率由积极开发人工智慧演算法并将其整合到医学影像处理系统中的主要企业主导。其成员包括医疗服务创新组织、影像处理硬体製造商和程式工程师。市场开拓和创新的进展预计将改善医学影像诊断结果。

介绍

人工智慧在医学影像处理的市场规模正在迅速扩大，并透过改变演示成像重新思考医疗服务业务。例如，医学影像系统正在整合机器学习和深度学习演算法，以提高准确性、效率和患者治疗结果。

对于 X 光、 电脑断层扫描、MRI和超音波医学扫描，医学影像领域人工智慧市场的成长能够增强影像处理、自动判读和异常识别。这种人工意识驱动的创新将帮助放射科医师和医生发现和分析恶性、心血管感染、神经系统问题和外侧肌肉特性等疾病。

医学影像市场人工智慧的主要企业：

  • GE医疗保健： GE医疗保健提供各种人工智慧驱动的医疗影像产品，包括Edison平台，该平台将人工智慧演算法融入影像设备中，以协助治疗计划和诊断。我们为 X 光、CT、MRI、超音波和其他显像模式提供人工智慧解决方案。
  • 西门子 Healthineas：西门子 Healthineers 提供人工智慧主导的临床影像设备，包括人工智慧 Rad Sidekick 阶段。它为机械化影像探索和转换提供了人工推理策略，使放射科医生能够进一步提高决策准确性和工作流程有效性。
  • 飞利浦医疗保健：飞利浦医疗保健的 IntelliSpace 平台提供人工智慧增强型医疗图像解决方案。该公司的人工智慧系统提供自动化医学影像处理，以促进各种显像模式的疾病诊断和表征。
  • NVIDIA Corporation：用于医学影像的人工智慧软体和技术由 NVIDIA 开发。医学成像应用利用该公司的 GPU 和 AI 平台来加速影像分析、实现即时影像处理并支援深度学习演算法。
  • Aidoc： Aidoc 是一个由人工智慧驱动的放射成像平台，可查看医学影像来识别重要观察并确定优先顺序。其演算法使放射科医生更容易发现异常并更快地治疗患者。

市场驱动因素

对准确、及时的疾病诊断的需求不断增长将增加人工智慧在医学影像中的采用

人们对准确、理想的疾病识别日益增长的兴趣是医学影像市场人工智慧发展的关键驱动力。美国国家医学图书馆 (NLM) 的资料显示，人工智慧在医学影像中的应用在确定准确性方面显示出了强劲的成果。在疾病检测方面，人工智慧演算法表现出高度的敏感性和特异性，可以为患者带来更早的治疗和更好的结果。随着医疗保健专业人员努力实现更准确、更有效率的疾病诊断，对人工智慧驱动的医疗图像解决方案的需求持续成长。

AI演算法与医疗图像系统的整合：

医学影像处理系统与人工智慧演算法的整合是人工智慧在医学影像处理市场的关键成长领域。此次合作将支援临床照片的机器人检查、进一步先进的异常识别证据以及提高结论的准确性。由人工智慧驱动的医学影像处理系统可以快速、准确地分析和解释大量影像资料，使医疗保健专业人员能够为患者做出更好的决策。人工智慧演算法和医学影像设备的无缝整合推动了这一领域的进步，重新定义了医学影像的执行和理解方式。

加大对医学影像AI研发的投入与资金筹措：

创投公司的增加和对临床影像人工智慧创新研究的资金筹措正在推动该商业领域的发展。随着资金的增加，开发人员和研究人员将有更多的资源来研究新的人工智慧演算法、增强现有技术并提高医学影像处理系统的功能。这些投资为更准确的诊断、改善患者治疗结果和改善医疗保健服务铺平了道路，同时刺激创新并推动该领域的进步。业界对人工智慧潜力的认可以及对持续探索和应用的承诺体现在医学影像领域人工智慧资金的增加。

在预测期内，医疗影像处理市场中的人工智慧预计将以稳定的速度成长。

医学影像市场的人工智慧分为产品、技术、应用、最终用户和区域部分。产品进一步细分为硬体、软体和服务。科技进一步分为机器学习、深度学习和电脑视觉。

北美引领医学影像人工智慧市场

北美是全球领先的医疗成像人工智慧市场，拥有很大份额。现代医疗基础设施、高额医疗支出以及重要公司和研究机构的大量存在是该地区主导的因素之一。支持人工智慧在医疗保健领域使用的理想政府措施和法规也推动了该地区的发展。由于对准确诊断工具、疾病早期检测和个人化治疗计划的需求不断增长，北美医学影像领域的人工智慧市场占有率正在不断增强。该地区的大蛋糕反映了其作为医学影像处理人工智慧改进和医疗服务发展中心的地位。

主要进展：

2022 年 10 月，医疗开放 AI 网路 MONAI 与 Google Cloud 的医疗影像套件集成，以实现医疗影像工作流程的资料互通性。 2022 年 12 月，人工智慧驱动的数位工程公司 Quantiphi 宣布已被选为 Google Cloud 医疗成像套件的启动合作伙伴。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 先决条件

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第五章 医学影像诊断中的人工智慧市场：透过提供

  • 介绍
  • 软体
  • 服务

第六章 医学影像诊断领域的人工智慧市场：依技术划分

  • 介绍
  • 机器学习
  • 深度学习
  • 电脑视觉

第七章 医学影像诊断中的人工智慧市场：按应用分类

  • 介绍
  • 肿瘤学
  • 神经病学
  • 心臟病学
  • 肺
  • 整形外科
  • 其他的

第八章 医疗影像诊断人工智慧市场：最终用户

  • 介绍
  • 医院和诊所
  • 影像诊断中心
  • 调查机构
  • 其他的

第九章医学影像诊断人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作

第十一章 公司简介

  • General Electric Company
  • IBM Corporation
  • Koninklijke Philips NV
  • NVIDIA Corporation
  • Siemens Healthineers AG
  • Canon Medical Systems Corporation
  • Hologic, Inc.
  • Agfa-Gevaert Group
  • Aidoc
  • Zebra Technologies Corp.
简介目录
Product Code: KSI061615675

The AI in medical imaging market was valued at US$1.063 billion in 2021.

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence in the medical Imaging market growth has developed fundamentally. Artificial intelligence in the medical imaging market size has expanded as a direct result of the growing demand for diagnostic tools that are both more accurate and more effective. The AI in Medical Imaging market share is controlled by key companies that are actively developing and integrating AI algorithms into medical imaging systems. Medical services innovation organizations, imaging hardware producers, and programming engineers are among the members. More development and innovation are anticipated as the market develops, resulting in improved medical imaging outcomes.

Introduction:

Artificial intelligence in the Medical Imaging market size is extending quickly and is rethinking the medical services business by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, for instance, medical imaging systems are incorporating machine learning and deep learning algorithms.

In medical scans like X-rays, CT scans, MRIs, and ultrasound, AI in Medical Imaging market growth enables enhanced image processing, automated interpretation, and the identification of anomalies. These man-made consciousness-fueled innovations can help radiologists and doctors find and analyze infirmities like malignant growth, cardiovascular infection, neurological issues, and outer muscle peculiarities.

Key Players in AI in Medical Imaging Market:

  • GE Healthcare.: GE Healthcare offers a variety of AI-powered medical imaging products, such as its Edison platform, which incorporates AI algorithms into imaging devices to aid in treatment planning and diagnosis. They offer AI solutions for X-ray, CT, MRI, ultrasound, and other imaging modalities.
  • Siemens Healthineers: Siemens Healthineers gives man-made intelligence-driven clinical imaging items, for example, the man-made intelligence Rad Sidekick stage. It offers man-made reasoning strategies for mechanized picture investigation and translation, permitting radiologists to further develop determination precision and work process effectiveness.
  • Philips Healthcare: The IntelliSpace platform from Philips Healthcare provides AI-enhanced medical imaging solutions. Automated medical picture processing is provided by their AI systems, facilitating illness diagnosis and characterization across a variety of imaging modalities.
  • NVIDIA Corporation: AI software and technology for medical imaging are developed by NVIDIA. Applications in medical imaging make use of their GPUs and AI platforms to speed up image analysis, make it possible to process images in real time and support deep learning algorithms.
  • Aidoc: Aidoc is an AI-powered radiography platform that looks at medical images to find important findings and give them priority. Their algorithms make it easier for radiologists to find anomalies and treat patients more quickly.

MARKET DRIVERS:

Growing demand for precise and timely illness diagnosis to increase AI adoption in medical imaging

The rising interest in precise and ideal sickness identification is a significant driver of development in AI in the medical imaging market. As per the data by National Library of Medicine (NLM), utilizing AI in medical imaging has yielded empowering brings about terms of helping determine precision. In terms of illness detection, AI algorithms have demonstrated high sensitivity and specificity, which has led to earlier treatments and better outcomes for patients. The demand for AI-driven medical imaging solutions continues to rise as healthcare professionals strive for more accurate and efficient disease diagnosis.

Integration of AI algorithms with medical imaging systems:

The integration of AI algorithms with medical imaging systems is a significant growth area for AI in the Medical Imaging market. This association empowers robotized investigation of clinical pictures, further developed anomaly distinguishing proof, and expanded conclusion precision. AI-powered medical imaging systems can quickly and accurately analyze and interpret huge amounts of imaging data, allowing healthcare professionals to make better decisions for their patients. Improvements in the field are being driven by the seamless integration of AI algorithms with medical imaging devices, which is also redefining how medical imaging is carried out and comprehended.

Rising investments and funding for AI in medical imaging research and development:

Rising ventures and funding for artificial intelligence in clinical imaging innovative work are driving business sector development. As funding increases, developers and researchers will have access to more resources to investigate novel AI algorithms, enhance existing technologies, and enhance the capabilities of medical imaging systems. These investments pave the way for more precise diagnoses, improved patient outcomes, and improved healthcare delivery while also stimulating innovation and propelling developments in the field. The industry's recognition of AI's potential and dedication to ongoing research and application can be seen in the increased funding for AI in medical imaging.

During the projected period, AI in the medical imaging market would increase at a stable rate.

The market for artificial intelligence in medical imaging is divided into the offering, technology, application, end-user, and geographical area segments. The offering is further segmented into hardware, software, and services. Technology is further segmented into machine learning, deep learning, and computer vision.

North America is leading in the AI in the medical imaging market.

With a significant medical imaging AI market share, North America is the global leader. Modern healthcare infrastructure, high healthcare spending, and a significant presence of important businesses and research institutes are among the factors that contribute to the region's dominance. Besides, ideal government endeavors and regulations empowering the utilization of AI in healthcare add to the district's piece of the pie. North America's AI in medical imaging market share is bolstered by the rising demand for accurate diagnostic tools, early illness identification, and individualized treatment plans. The locale's huge piece of the pie mirrors its situation as a middle for artificial intelligence in medical imaging improvements and medical services conveyance development.

Key Developments:

  • In October 2022, medical open network of AI, MONAI integrated with Google Cloud's Medical Imaging Suite for enabling data interoperability for medical imaging workflows.
  • In December 2022, Quantiphi, an AI-enabled digital engineering company announced its selection as a launch partner for Google Cloud's Medical Imaging Suite which is a novel industry solution leveraging artificial intelligence (AI) for medical imaging.

Segmentation

By Offering

  • Software
  • Services

By Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision

By Application

  • Oncology
  • Neurology
  • Cardiology
  • Pulmonary
  • Orthopedics
  • Others

By End User

  • Hospitals & Clinics
  • Diagnostics Image Centers
  • Research Institutes
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Other

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI IN MEDICAL IMAGING MARKET, BY OFFERING

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. AI IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Machine Learning
  • 6.3. Deep Learning
  • 6.4. Computer Vision

7. AI IN MEDICAL IMAGING MARKET, BY APPLICATION

  • 7.1. Introduction
  • 7.2. Oncology
  • 7.3. Neurology
  • 7.4. Cardiology
  • 7.5. Pulmonary
  • 7.6. Orthopedics
  • 7.7. Others

8. AI IN MEDICAL IMAGING MARKET, END-USER

  • 8.1. Introduction
  • 8.2. Hospitals & Clinics
  • 8.3. Diagnostics Image Centers
  • 8.4. Research Institutes
  • 8.5. Others

9. AI IN MEDICAL IMAGING MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. The Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Taiwan
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations

11. COMPANY PROFILES

  • 11.1. General Electric Company
  • 11.2. IBM Corporation
  • 11.3. Koninklijke Philips N.V.
  • 11.4. NVIDIA Corporation
  • 11.5. Siemens Healthineers AG
  • 11.6. Canon Medical Systems Corporation
  • 11.7. Hologic, Inc.
  • 11.8. Agfa-Gevaert Group
  • 11.9. Aidoc
  • 11.10. Zebra Technologies Corp.