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医療機器における人工知能/機械学習市場レポート：2030年までの動向、予測、競合分析

Artificial Intelligence/Machine Learning in the Medical Device Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 Pages | 納期: 3営業日

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医療機器における人工知能/機械学習市場レポート：2030年までの動向、予測、競合分析
出版日: 2023年09月01日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 目次
概要

医療機器における人工知能／機械学習の動向と予測

世界の医療機器における人工知能／機械学習市場の将来は、放射線科、心臓病学、血液学の各市場におけるビジネスチャンスで有望視されています。世界の医療機器における人工知能/機械学習市場は、2024年から2030年までのCAGRが19.7%で、2030年までに推定129億米ドルに達すると予測されます。この市場の主な促進要因は、AIソリューションを提供する企業の大規模なエコシステムの存在、放射線学と心臓学の分野における需要の高まり、ウェアラブルセンサーの需要の増加です。

医療機器市場における人工知能/機械学習の洞察

Lucintelでは、予測期間中、医療機器としてのソフトウェアが引き続き大きなセグメントを占めると予測しています。

放射線学におけるAIは、データ解釈と診断確認において放射線科医をサポートし、画像分割と輪郭形成だけでなく、画像品質の向上にも役立つため、予測期間中も最大セグメントであり続けると思われます。

北米は、ヘルスケアエコシステムの存在、AI開発への資金支援の拡大、同地域の強力なヘルスケアインフラにより、予測期間中も最大地域であり続ける。

本レポートでは、以下の11の主要な質問に回答している：

  • Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
  • Q.2.今後成長が加速するセグメントとその理由は？
  • Q.3.今後成長が加速すると思われる地域とその理由は？
  • Q.4.市場力学に影響を与える主な要因は何か？市場における主な課題とビジネスリスクは？
  • Q.5.この市場におけるビジネスリスクと競合の脅威は？
  • Q.6.この市場における新たな動向とその理由は？
  • Q.7.市場における顧客の需要の変化にはどのようなものがありますか？
  • Q.8.この市場における新たな開発と、その開発をリードしている企業は？
  • Q.9.この市場における主要企業は？主要企業は事業成長のためにどのような戦略的取り組みを進めているのか？
  • Q.1.0.この市場における競合製品にはどのようなものがあり、材料や製品の代替による市場シェア低下の脅威はどの程度か？
  • Q.1.1.過去5年間にどのようなM&Aが行われ、業界にどのような影響を与えたか？

目次

第1章 エグゼクティブサマリー

第2章 世界の医療機器市場における人工知能/機械学習：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 医療機器市場における世界の人工知能/機械学習の動向（2018～2023年）と予測（2024～2030年）
  • 製品タイプ別の世界の医療機器市場における人工知能/機械学習
    • システム/ハードウェア
    • 医療機器としてのソフトウェア
  • 臨床分野別の世界の医療機器市場における人工知能/機械学習
    • 放射線科
    • 心臓病学
    • 血液学
    • その他
  • 世界の医療機器市場における人工知能/機械学習（放射線科別タイプ別）
    • 診断支援
    • イメージング
    • 画像再構成
    • その他
  • 世界の医療機器市場における人工知能/機械学習（心臓病学別タイプ別）
    • 心電図に基づく不整脈の検出
    • 血行動態とバイタルサインのモニタリング
    • その他

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界の医療機器市場における人工知能/機械学習
  • 北米の医療機器市場における人工知能/機械学習
  • 欧州の医療機器市場における人工知能/機械学習
  • アジア太平洋医療機器市場における人工知能/機械学習
  • その他地域医療機器市場における人工知能/機械学習

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • 製品タイプ別の世界の医療機器市場における人工知能/機械学習の成長機会
    • 臨床分野別の世界の医療機器市場における人工知能/機械学習の成長機会
    • 放射線科の種類別の世界の医療機器市場における人工知能/機械学習の成長機会
    • 心臓病分野別の世界の医療機器市場における人工知能/機械学習の成長機会
    • 地域別の世界の医療機器市場における人工知能/機械学習の成長機会
  • 世界の医療機器市場における人工知能/機械学習の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界の医療機器市場における人工知能/機械学習の能力拡大
    • 世界の医療機器市場における人工知能/機械学習の合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

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

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