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1417409

人工智慧輔助放射學的全球市場：趨勢、預測和競爭分析（~2030 年）

AI-Assisted Radiology Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3個工作天內

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簡介目錄

人工智慧輔助放射學的趨勢和預測

預計 2024 年至 2030 年，全球人工智慧輔助放射學市場規模將以 6.2% 的年複合成長率成長。該市場的主要驅動力是越來越重視最大限度地減少放射科醫生的工作量、政府促進鋁基技術利用的宣傳活動以及私營新興企業對鋁基新創企業的投資增加。全球人工智慧輔助放射學的未來充滿希望，醫院和診斷成像中心市場充滿機會。

人工智慧輔助放射學市場洞察

Lucintel 預測，神經病學將在預測期內實現最高成長，因為該領域將擴大利用人工智慧來提高準確性、加強患者照護並提高效率。

在這個市場中，預計醫院仍將是最大的細分市場，因為有利的報銷政策使醫院成為尋求治療的患者的首選，因為它們方便且可以在一處獲得廣泛的產品。

由於其高度先進的基礎設施和高人均收入，預計北美在預測期內將出現最高的成長。

全球人工智慧輔助放射學的特點

常問問題

Q1.人工智慧輔助放射學的成長預測是多少？

A1. 預計 2024 年至 2030 年，全球人工智慧輔助放射學將以 6.2% 的年複合成長率成長。

Q2.影響人工智慧輔助放射學發展的關鍵促進因素有哪些？

A2. 該市場的主要驅動力是越來越注重最大限度地減少放射科醫生的工作量、政府推動鋁基技術使用的宣傳活動、私營部門對新興企業的投資正在增加。

Q3.AI輔助放射學主要細分哪些領域？

A3.人工智慧輔助放射學的未來前景廣闊，醫院和診斷成像中心市場充滿機會。

Q4. 人工智慧輔助放射學領域的主要企業有哪些？

A4. 主要的人工智慧輔助放射科公司如下。

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

Q5. 未來人工智慧輔助放射學領域最大的是哪一個？

A5.Lucintel 預測，神經病學將在預測期內實現最高成長，因為該領域將擴大利用人工智慧來提高準確性、加強患者照護並提高效率。

Q6.未來五年人工智慧輔助放射診斷預計哪個地區成長最大？

A6. 由於其高度先進的基礎設施和高人均收入，預計北美在預測期內將出現最高的成長。

Q7. 可以客製化報告嗎？

A7. 是的，Lucintel 提供 10% 的客製化服務，無需額外費用。

目錄

第1章執行摘要

第2章 全球人工智慧輔助放射學：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年市場趨勢與預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球人工智慧輔助放射學趨勢（2018-2023）和預測（2024-2030）
  • 全球人工智慧輔助放射學：按類型
    • X光
    • 磁振造影
    • CT檢查
    • 正子斷層掃描
    • 超音波
    • 其他
  • 全球人工智慧輔助放射學：按應用分類
    • 神經病學
    • 乳房X光照相術
    • 心血管
    • 呼吸系統/肺
    • 整形外科
    • 其他
  • 全球人工智慧輔助放射學：按最終用途分類
    • 醫院
    • 影像診斷中心
    • 其他

第4章市場趨勢與預測分析：按地區（2018-2030）

  • 全球人工智慧輔助放射學：按地區
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

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
    • 按類型
    • 按用途
    • 按最終用途
    • 按地區
  • 全球人工智慧輔助放射學新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球人工智慧輔助放射學能力
    • 全球人工智慧輔助放射領域的併購與合資
    • 認證和許可

第7章主要企業概況

  • GE Healthcare
  • FUJIFILM
  • Aidoc
  • ClariPi
  • IBM
  • Koninklijke Philips
  • Siemens
  • Medtronic
  • Gleamer
  • Agfa-Gevaert
簡介目錄

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