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AI支援放射線学の世界市場：動向、予測、競合分析（～2030年）

AI-Assisted Radiology Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 - page report | 納期: 3営業日

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AI支援放射線学の世界市場：動向、予測、競合分析（～2030年）
出版日: 2024年01月29日
発行: Lucintel
ページ情報: 英文 150 - page report
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

AI支援放射線学の動向と予測

世界のAI支援放射線学の市場規模は、2024～2030年にかけてCAGR 6.2％で成長すると予測されています。この市場の主な促進要因は、放射線科医の作業負荷を最小化することの重視の高まり、アルミニウムをベースとした技術の利用を促進する政府のキャンペーン、アルミニウムをベースとした新興企業に対する民間セクターの投資の増加です。世界のAI支援放射線学の将来は、病院や画像診断センター市場での機会で有望視されています。

AI支援放射線学市場の洞察

Lucintelの予測では、神経学分野ではAIの活用が進み、精度の向上、患者ケアの強化、効率の向上につながるため、予測期間中に神経学が最も高い成長を遂げる見込みです。

この市場の中で、病院は、有益な償還政策により、利便性と一箇所で利用可能な幅広い製品群により、治療を求める患者にとって好ましい選択肢となっているため、最大のセグメントであり続けると思われます。

北米は、非常に高度なインフラと一人当たり所得の高さにより、予測期間中に最も高い成長が見込まれています。

世界のAI支援放射線学の特徴

よくある質問

Q1.AI支援放射線学の成長予測は？

A1.世界のAI支援放射線学は、2024～2030年にかけてCAGR 6.2%で成長すると予測されています。

Q2.AI支援放射線学の成長に影響を与える主な促進要因は何ですか？

A2.この市場の主な促進要因は、放射線科医の作業負担を最小限に抑えることを重視する傾向が強まっていること、アルミニウムをベースとした技術の利用を促進する政府のキャンペーン、アルミニウムをベースとした新興企業に対する民間セクターの投資が増加していることです。

Q3.AI支援放射線学の主要セグメントは？

A3.AI支援放射線学の将来は、病院と画像診断センター市場にチャンスがあり、有望と思われます。

Q4.AI支援放射線学の主要企業は？

A4.主要なAI支援放射線学企業は以下の通りです。

  • GE Healthcare
  • Fujifilm
  • Aidoc
  • Claripi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert

Q5.今後、どのAI支援放射線学分野が最大になりますか？

A5.Lucintelの予測では、神経学分野でAIの活用が進み、精度の向上、患者ケアの強化、効率の向上につながるため、神経学が予測期間中に最も高い成長を遂げる見込みです。

Q6.AI支援放射線学診断では、今後5年間でどの地域が最大になると予想されますか？

A6.北米は、非常に高度なインフラと高い一人当たり所得により、予測期間中に最も高い成長を示すと予想されます。

Q7.レポートのカスタマイズは可能？

A7.はい、Lucintelは追加費用なしで10％のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界のAI支援放射線学：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 市場動向と予測分析：2018～2030年

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界のAI支援放射線学動向（2018～2023年）と予測（2024～2030年）
  • 世界のAI支援放射線学：タイプ別
    • X線
    • 磁気共鳴画像
    • コンピュータ断層撮影
    • 陽電子放出断層撮影
    • 超音波
    • その他
  • 世界のAI支援放射線学：用途別
    • 神経内科
    • マンモグラフィー
    • 心臓血管
    • 呼吸器・肺
    • 整形外科
    • その他
  • 世界のAI支援放射線学：最終用途別
    • 病院
    • 画像診断センター
    • その他

第4章 市場動向と予測分析：地域別（2018～2030年）

  • 世界のAI支援放射線学：地域別
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

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
    • タイプ別
    • 用途別
    • 最終用途別
    • 地域別
  • 世界のAI支援放射線学の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界のAI支援放射線学の能力拡大
    • 世界のAI支援放射線学分野における合併、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

  • GE Healthcare
  • FUJIFILM
  • Aidoc
  • ClariPi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert
目次

AI-Assisted Radiology Trends and Forecast

The future of the global AI-assisted radiology looks promising with opportunities in the hospitals and diagnostic imaging centers markets. The global AI-assisted radiology is expected to grow with a CAGR of 6.2% from 2024 to 2030. The major drivers for this market are growing emphasis on minimizing radiologists' workloads, government campaigns to promote the use of technology based on aluminum, and increasing private sector investment in Al-based startups.

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

AI-Assisted Radiology by Segment

The study includes a forecast for the global AI-assisted radiology by type, application, end use, and region.

AI-Assisted Radiology by Type [Shipment Analysis by Value from 2018 to 2030]:

  • X-Rays
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Positron Emission Tomography
  • Ultrasound
  • Others

AI-Assisted Radiology by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Neurology
  • Mammography
  • Cardiovascular
  • Respiratory & Pulmonary
  • Orthopedics
  • Others

AI-Assisted Radiology by End Use [Shipment Analysis by Value from 2018 to 2030]:

  • Hospitals
  • Diagnostic Imaging Centers
  • Others

AI-Assisted Radiology by Region [Shipment Analysis by Value from 2018 to 2030]:

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

List of AI-Assisted Radiology Companies

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 AI-assisted radiology companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-assisted radiology companies profiled in this report include-

  • GE Healthcare
  • Fujifilm
  • Aidoc
  • Claripi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert

AI-Assisted Radiology Market Insights

Lucintel forecasts that neurology is expected to witness highest growth over the forecast period due to greater utilization of ai in the field of neurology, leading to improved precision, enhanced patient care, and increased efficiency.

Within this market, hospital will remain the largest segment due to beneficial reimbursement policies make it the preferred choice for patients seeking treatment due to its convenience and the wide array of products available in a single location.

North America is expected to witness highest growth over the forecast period due to exceptionally advanced infrastructure and elevated per capita income.

Features of the Global AI-Assisted Radiology

Market Size Estimates: Ai-assisted radiology 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: Ai-assisted radiology size by type, application, end use, and region in terms of value ($B).

Regional Analysis: Ai-assisted radiology breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, application, end use, and regions for the AI-assisted radiology.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-assisted radiology.

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

FAQ

Q1. What is the growth forecast for AI-assisted radiology?

Answer: The global AI-assisted radiology is expected to grow with a CAGR of 6.2% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of the AI-assisted radiology?

Answer: The major drivers for this market are growing emphasis on minimizing radiologists' workloads, government campaigns to promote the use of technology based on aluminum, and increasing private sector investment in Al-based startups.

Q3. What are the major segments for AI-assisted radiology?

Answer: The future of the AI-assisted radiology looks promising with opportunities in the hospitals and diagnostic imaging centers markets.

Q4. Who are the key AI-assisted radiology companies?

Answer: Some of the key AI-assisted radiology companies are as follows.

  • GE Healthcare
  • Fujifilm
  • Aidoc
  • Claripi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert

Q5. Which AI-assisted radiology segment will be the largest in future?

Answer: Lucintel forecasts that neurology is expected to witness highest growth over the forecast period due to greater utilization of ai in the field of neurology, leading to improved precision, enhanced patient care, and increased efficiency.

Q6. In AI-assisted radiology, which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to exceptionally advanced infrastructure and elevated per capita income.

Q7. 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 AI-assisted radiology by type (x-rays, magnetic resonance imaging, computed tomography, positron emission tomography, ultrasound, and others), application (neurology, mammography, cardiovascular, respiratory & pulmonary, orthopedics, and others), end use (hospitals, diagnostic imaging centers, 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.10. 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.11. 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. Global AI-Assisted Radiology : 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 AI-Assisted Radiology Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global AI-Assisted Radiology by Type
    • 3.3.1: X-Rays
    • 3.3.2: Magnetic Resonance Imaging
    • 3.3.3: Computed Tomography
    • 3.3.4: Positron Emission Tomography
    • 3.3.5: Ultrasound
    • 3.3.6: Others
  • 3.4: Global AI-Assisted Radiology by Application
    • 3.4.1: Neurology
    • 3.4.2: Mammography
    • 3.4.3: Cardiovascular
    • 3.4.4: Respiratory & Pulmonary
    • 3.4.5: Orthopedics
    • 3.4.6: Others
  • 3.5: Global AI-Assisted Radiology by End Use
    • 3.5.1: Hospitals
    • 3.5.2: Diagnostic Imaging Centers
    • 3.5.3: Others

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

  • 4.1: Global AI-Assisted Radiology by Region
  • 4.2: North American AI-Assisted Radiology
    • 4.2.2: North American AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
  • 4.3: European AI-Assisted Radiology
    • 4.3.1: European AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
    • 4.3.2: European AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
  • 4.4: APAC AI-Assisted Radiology
    • 4.4.1: APAC AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
    • 4.4.2: APAC AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, and Others
  • 4.5: ROW AI-Assisted Radiology
    • 4.5.1: ROW AI-Assisted Radiology by Application: Neurology, Mammography, Cardiovascular, Respiratory & Pulmonary, Orthopedics, and Others
    • 4.5.2: ROW AI-Assisted Radiology by End Use: Hospitals, Diagnostic Imaging Centers, 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 the Global AI-Assisted Radiology by Type
    • 6.1.2: Growth Opportunities for the Global AI-Assisted Radiology by Application
    • 6.1.3: Growth Opportunities for the Global AI-Assisted Radiology by End Use
    • 6.1.4: Growth Opportunities for the Global AI-Assisted Radiology by Region
  • 6.2: Emerging Trends in the Global AI-Assisted Radiology
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global AI-Assisted Radiology
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Assisted Radiology
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: GE Healthcare
  • 7.2: FUJIFILM
  • 7.3: Aidoc
  • 7.4: ClariPi
  • 7.5: IBM
  • 7.6: Koninklijke Philips
  • 7.7: Siemens
  • 7.8: Medtronic
  • 7.9: Gleamer
  • 7.10: Agfa-Gevaert