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1356696

醫療設備市場人工智慧/機器學習報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

醫療設備中人工智慧/機器學習的趨勢和預測

全球人工智慧/機器學習在醫療設備市場的未來充滿希望，放射學、心臟病學和血液學市場也充滿機會。預計到 2030 年，全球醫療設備器材人工智慧/機器學習市場規模將達到 129 億美元，2024 年至 2030 年年複合成長率為 19.7%。該市場的主要促進因素是提供人工智慧解決方案的大型公司生態系統的存在、放射學和心臟病學領域不斷成長的需求以及對穿戴式感測器的需求不斷成長。

醫療設備市場的人工智慧/機器學習洞察

Lucintel 預計，在預測期內，作為醫療設備的軟體將繼續佔據很大一部分。

在預測期內，放射學領域的人工智慧可能繼續成為最大的細分市場，因為它支援放射科醫生進行資料解釋和診斷確認，並有助於提高影像品質以及影像分割和輪廓繪製。

由於該地區醫療保健生態系統的存在、對人工智慧開發的財政支持增加以及強大的醫療保健基礎設施，北美在預測期內將繼續成為最大的地區。

本報告回答了 11 個關鍵問題：

  • Q.1. 細分市場中最有前途和高成長的機會是什麼？
  • Q.2. 未來哪個細分市場成長較快？為什麼？
  • Q.3.您認為哪些地區未來會出現更快的成長？為什麼？
  • Q.4. 影響市場動態的主要要素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5. 這個市場的商業風險和競爭威脅是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • Q.7.市場客戶需求有何改變？
  • Q.8. 該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.1.0. 該市場上有哪些競爭產品，由於材料或產品替代導致市場佔有率下降的威脅是什麼？
  • Q.1.1.過去年度發生了哪些類型的併購，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球醫療設備市場中的人工智慧/機器學習：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球醫療設備市場人工智慧/機器學習趨勢（2018-2023）和預測（2024-2030）
  • 全球醫療設備市場中的人工智慧/機器學習（按產品類型）
    • 系統/硬體
    • 軟體作為醫療設備
  • 按臨床領域分類的全球醫療設備市場中的人工智慧/機器學習
    • 放射科
    • 心臟病學
    • 血液學
    • 其他
  • 全球醫療設備市場的人工智慧/機器學習（按放射學類型）
    • 診斷支持
    • 影像
    • 影像結構
    • 其他
  • 全球醫療設備市場的人工智慧/機器學習（按心臟病類型）
    • 基於心電圖的心律不整檢測
    • 監測血流動力學和生命徵象
    • 其他

第4章 2018-2030年分地區市場趨勢及預測分析

  • 按地區分類的全球醫療設備市場中的人工智慧/機器學習
  • 北美醫療設備市場的人工智慧/機器學習
  • 歐洲醫療設備市場的人工智慧/機器學習
  • 亞太醫療設備市場的人工智慧/機器學習
  • 其他區域醫療設備市場的人工智慧/機器學習

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 按產品類型分類的全球醫療設備市場人工智慧/機器學習成長機會
    • 按臨床領域分類的全球醫療設備市場中人工智慧/機器學習的成長機會
    • 按放射類型分類的全球醫療設備市場的人工智慧/機器學習成長機會
    • 按心臟病領域的全球醫療設備市場中人工智慧/機器學習的成長機會
    • 按地區分類的全球醫療設備市場人工智慧/機器學習成長機會
  • 全球醫療設備市場人工智慧/機器學習新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球醫療設備市場的人工智慧/機器學習能力
    • 全球醫療設備市場的人工智慧/機器學習合併和收購企業
    • 認證和許可

第7章 主要企業概況

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

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