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市场调查报告书
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1356696

医疗设备市场人工智慧/机器学习报告：2030 年趋势、预测与竞争分析

Artificial Intelligence/Machine Learning in the Medical Device Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

医疗设备中人工智慧/机器学习的趋势和预测

全球人工智慧/机器学习在医疗设备市场的未来充满希望，放射学、心臟病学和血液学市场也充满机会。预计到 2030 年，全球医疗设备器材人工智慧/机器学习市场规模将达到 129 亿美元，2024 年至 2030 年年复合成长率为 19.7%。该市场的主要促进因素是提供人工智慧解决方案的大型公司生态系统的存在、放射学和心臟病学领域不断增长的需求以及对穿戴式感测器的需求不断增长。

医疗设备市场的人工智慧/机器学习洞察

Lucintel 预计，在预测期内，作为医疗设备的软体将继续占据很大一部分。

在预测期内，放射学领域的人工智慧可能继续成为最大的细分市场，因为它支援放射科医生进行资料解释和诊断确认，并有助于提高影像品质以及影像分割和轮廓绘製。

由于该地区医疗保健生态系统的存在、对人工智慧开发的财政支持增加以及强大的医疗保健基础设施，北美在预测期内将继续成为最大的地区。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2. 未来哪个细分市场成长较快？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要要素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.1.0. 该市场上有哪些竞争产品，由于材料或产品替代导致市场占有率下降的威胁是什么？
  • Q.1.1.过去年度发生了哪些类型的併购，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球医疗设备市场中的人工智慧/机器学习：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业促进因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球医疗设备市场人工智慧/机器学习趋势（2018-2023）和预测（2024-2030）
  • 全球医疗设备市场中的人工智慧/机器学习（按产品类型）
    • 系统/硬体
    • 软体作为医疗设备
  • 按临床领域分類的全球医疗设备市场中的人工智慧/机器学习
    • 放射科
    • 心臟病学
    • 血液学
    • 其他的
  • 全球医疗设备市场的人工智慧/机器学习（按放射学类型）
    • 诊断支持
    • 影像
    • 影像结构
    • 其他的
  • 全球医疗设备市场的人工智慧/机器学习（按心臟病类型）
    • 基于心电图的心律不整检测
    • 监测血流动力学和生命征象
    • 其他的

第4章2018-2030年分地区市场趋势及预测分析

  • 按地区分類的全球医疗设备市场中的人工智慧/机器学习
  • 北美医疗设备市场的人工智慧/机器学习
  • 欧洲医疗设备市场的人工智慧/机器学习
  • 亚太医疗设备市场的人工智慧/机器学习
  • 其他区域医疗设备市场的人工智慧/机器学习

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 按产品类型分類的全球医疗设备市场人工智慧/机器学习成长机会
    • 按临床领域分類的全球医疗设备市场中人工智慧/机器学习的成长机会
    • 按放射类型分類的全球医疗设备市场的人工智慧/机器学习成长机会
    • 按心臟病领域的全球医疗设备市场中人工智慧/机器学习的成长机会
    • 按地区分類的全球医疗设备市场人工智慧/机器学习成长机会
  • 全球医疗设备市场人工智慧/机器学习新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球医疗设备市场的人工智慧/机器学习能力
    • 全球医疗设备市场的人工智慧/机器学习合併和收购企业
    • 认证和许可

第7章主要企业概况

  • Aidoc Medical
  • Canon
  • CellaVision
  • Clarius Mobile Health
  • General Electric Company
  • Hyperfine
  • Koninklijke Philips
  • Medtronic
  • Nanox.AI
  • Siemens Healthineers
简介目录

Artificial Intelligence/Machine Learning in the Medical Device Trends and Forecast

The future of the artificial intelligence/machine learning in the global medical device market looks promising with opportunities in the radiology, cardiology, and hematology markets. The artificial intelligence/machine learning in the global medical device market is expected to reach an estimated $12.9 billion by 2030 with a CAGR of 19.7% from 2024 to 2030. The major drivers for this market are existence of large ecosystem of companies offering AI solutions, rising demand in the field of radiology and cardiology, and increasing demand for wearable sensors.

A more than 150-page report is developed to help in your business decisions.

Artificial Intelligence/Machine Learning in the Medical Device by Segment

The study includes a forecast for the global artificial intelligence/machine learning in the medical device by product type, clinical area, radiology by type, cardiology by type, and region.

Artificial Intelligence/Machine Learning in the Medical Device Market by Product Type [Shipment Analysis by Value from 2018 to 2030]:

  • System/Hardware
  • Software-as-a Medical Device

Artificial Intelligence/Machine Learning in the Medical Device Market by Clinical Area [Shipment Analysis by Value from 2018 to 2030]:

  • Radiology
  • Cardiology
  • Hematology
  • Others

Artificial Intelligence/Machine Learning in the Medical Device Market by Radiology by Type [Shipment Analysis by Value from 2018 to 2030]:

  • Diagnostic Assistance
  • Imaging
  • Image Reconstruction
  • Others

Artificial Intelligence/Machine Learning in the Medical Device Market by Cardiology by Type [Shipment Analysis by Value from 2018 to 2030]:

  • Electrocardiography-Based Arrhythmia Detection
  • Hemodynamics and Vital Signs Monitoring
  • Others

Artificial Intelligence/Machine Learning in the Medical Device Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Artificial Intelligence/Machine Learning companies in the Medical Device Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies artificial intelligence/machine learning companies in the medical device market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence/machine learning companies in the medical device market are profiled in this report include-

  • Aidoc Medical
  • Canon
  • Cellavision
  • Clarius Mobile Health
  • General Electric Company
  • Hyperfine
  • Koninklijke Philips
  • Medtronic
  • Nanox.Ai
  • Siemens Healthineers

Artificial Intelligence/Machine Learning in the Medical Device Market Insights

Lucintel forecasts that software-as-a-medical device will remain the larger segment over the forecast period.

Radiology will remain the largest segment over the forecast period because the AI in radiology supports radiologists in data interpretation and diagnostic confirmation and also helps in improving the quality of imaging, as well as picture segmentation and contouring.

North America will remain the largest region over the forecast period due to presence of healthcare ecosystem, growing funding support for AI development, and strong healthcare infrastructure in the region.

Features of the Artificial Intelligence/Machine Learning in the Global Medical Device Market

Market Size Estimates: Artificial intelligence/machine learning in the global medical device market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Artificial intelligence/machine learning in the global medical device market size by product type, clinical area, radiology by type, cardiology by type, and region. in terms of value ($B).

Regional Analysis: Artificial intelligence/machine learning in the global medical device market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different product types, clinical areas, radiology by types, cardiology by types, and region.s for the artificial intelligence/machine learning in the medical device market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial intelligence/machine learning in the medical device market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the artificial intelligence/machine learning in the medical device market size?

Answer: The global artificial intelligence/machine learning in the medical device market is expected to reach an estimated $12.9 billion by 2030.

Q.2. What is the growth forecast for artificial intelligence/machine learning in the medical device market?

Answer: The global artificial intelligence/machine learning in the medical device market is expected to grow with a CAGR of 19.7% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the artificial intelligence/machine learning in the medical device market?

Answer: The major drivers for this market are existence of large ecosystem of companies offering ai solutions, rising demand in the field of radiology and cardiology, and increasing demand for wearable sensors .

Q.4. What are the major segments for artificial intelligence/machine learning in the medical device market?

Answer: The future of the artificial intelligence/machine learning in the medical device market looks promising with opportunities in the radiology, cardiology, and hematology markets.

Q.5. Who are the key artificial intelligence/machine learning in the medical device market companies?

Answer: Some of the key artificial intelligence/machine learning in the medical device companies are as follows:

  • Aidoc Medical
  • Canon
  • CellaVision
  • Clarius Mobile Health
  • General Electric Company
  • Hyperfine
  • Koninklijke Philips
  • Medtronic
  • Nanox.AI
  • Siemens Healthineers

Q.6. Which artificial intelligence/machine learning in the medical device market segment will be the largest in future?

Answer: Lucintel forecasts that software-as-a-medical device will remain the larger segment over the forecast period due to .

Q.7. In artificial intelligence/machine learning in the medical device market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to presence of healthcare ecosystem, growing funding support for AI development, and strong healthcare infrastructure in the region.

Q.8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence/machine learning in the medical device market by product type ( system/hardware and software-as-a medical device), clinical area (radiology, cardiology, hematology, and others), radiology by type (diagnostic assistance, imaging, image reconstruction, and others), cardiology by type (electrocardiography-based arrhythmia detection, hemodynamics and vital signs monitoring, and others), and region. (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.1. 0. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.1. 1. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Artificial Intelligence/Machine Learning in the Global Medical Device Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Artificial Intelligence/Machine Learning in the Medical Device Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Artificial Intelligence/Machine Learning in the Global Medical Device Market by Product Type
    • 3.3.1: System/Hardware
    • 3.3.2: Software-as-a Medical Device
  • 3.4: Artificial Intelligence/Machine Learning in the Global Medical Device Market by Clinical Area
    • 3.4.1: Radiology
    • 3.4.2: Cardiology
    • 3.4.3: Hematology
    • 3.4.4: Others
  • 3.5: Artificial Intelligence/Machine Learning in the Global Medical Device Market by Radiology by Type
    • 3.5.1: Diagnostic Assistance
    • 3.5.2: Imaging
    • 3.5.3: Image Reconstruction
    • 3.5.4: Others
  • 3.6: Artificial Intelligence/Machine Learning in the Global Medical Device Market by Cardiology by Type
    • 3.6.1: Electrocardiography-Based Arrhythmia Detection
    • 3.6.2: Hemodynamics and Vital Signs Monitoring
    • 3.6.3: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Artificial Intelligence/Machine Learning in the Global Medical Device Market by Region
  • 4.2: Artificial Intelligence/Machine Learning in the North American Medical Device Market
    • 4.2.2: Artificial Intelligence/Machine Learning in the North American Medical Device Market by Clinical Area: Radiology, Cardiology, Hematology, and Others
  • 4.3: Artificial Intelligence/Machine Learning in the European Medical Device Market
    • 4.3.1: Artificial Intelligence/Machine Learning in the European Medical Device Market by Product Type: System/Hardware and Software-as-a Medical Device
    • 4.3.2: Artificial Intelligence/Machine Learning in the European Medical Device Market by Clinical Area: Radiology, Cardiology, Hematology, and Others
  • 4.4: Artificial Intelligence/Machine Learning in the APAC Medical Device Market
    • 4.4.1: Artificial Intelligence/Machine Learning in the APAC Medical Device Market by Product Type: System/Hardware and Software-as-a Medical Device
    • 4.4.2: Artificial Intelligence/Machine Learning in the APAC Medical Device Market by Clinical Area: Radiology, Cardiology, Hematology, and Others
  • 4.5: Artificial Intelligence/Machine Learning in the ROW Medical Device Market
    • 4.5.1: Artificial Intelligence/Machine Learning in the ROW Medical Device Market by Product Type: System/Hardware and Software-as-a Medical Device
    • 4.5.2: Artificial Intelligence/Machine Learning in the ROW Medical Device Market by Clinical Area: Radiology, Cardiology, Hematology, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for Artificial Intelligence/Machine Learning in the Global Medical Device Market by Product Type
    • 6.1.2: Growth Opportunities for Artificial Intelligence/Machine Learning in the Global Medical Device Market by Clinical Area
    • 6.1.3: Growth Opportunities for Artificial Intelligence/Machine Learning in the Global Medical Device Market by Radiology by Type
    • 6.1.4: Growth Opportunities for Artificial Intelligence/Machine Learning in the Global Medical Device Market by Cardiology by Type
    • 6.1.5: Growth Opportunities for Artificial Intelligence/Machine Learning in the Global Medical Device Market by Region
  • 6.2: Emerging Trends of Artificial Intelligence/Machine Learning in the Global Medical Device Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of Artificial Intelligence/Machine Learning in the Global Medical Device Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures of Artificial Intelligence/Machine Learning in the Global Medical Device Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Aidoc Medical
  • 7.2: Canon
  • 7.3: CellaVision
  • 7.4: Clarius Mobile Health
  • 7.5: General Electric Company
  • 7.6: Hyperfine
  • 7.7: Koninklijke Philips
  • 7.8: Medtronic
  • 7.9: Nanox.AI
  • 7.10: Siemens Healthineers