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市场调查报告书
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1417409

人工智慧辅助放射学的全球市场：趋势、预测和竞争分析（~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个工作天内

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简介目录

人工智慧辅助放射学的趋势和预测

预计 2024 年至 2030 年，全球人工智慧辅助放射学市场规模将以 6.2% 的复合年增长率成长。该市场的主要驱动力是越来越重视最大限度地减少放射科医生的工作量、政府促进铝基技术利用的宣传活动以及私营新兴企业对铝基新创企业的投资增加。全球人工智慧辅助放射学的未来充满希望，医院和诊断成像中心市场充满机会。

人工智慧辅助放射学市场洞察

Lucintel 预测，神经病学将在预测期内实现最高成长，因为该领域将越来越多地利用人工智慧来提高准确性、加强患者照护并提高效率。

在这个市场中，预计医院仍将是最大的细分市场，因为有利的报销政策使医院成为寻求治疗的患者的首选，因为它们方便且可以在一处获得广泛的产品。我会的。

由于其高度先进的基础设施和高人均收入，预计北美在预测期内将出现最高的增长。

全球人工智慧辅助放射学的特点

常问问题

Q1.人工智慧辅助放射学的成长预测是多少？

A1. 预计 2024 年至 2030 年，全球人工智慧辅助放射学将以 6.2% 的复合年增长率成长。

Q2.影响人工智慧辅助放射学发展的关键驱动因素有哪些？

A2. 该市场的主要驱动力是越来越注重最大限度地减少放射科医生的工作量、政府推动铝基技术使用的宣传活动、私营部门对新兴企业的投资正在增加。

Q3.AI辅助放射学主要细分哪些领域？

A3.人工智慧辅助放射学的未来前景广阔，医院和诊断成像中心市场充满机会。

Q4. 人工智慧辅助放射学领域的主要企业有哪些？

A4. 主要的人工智慧辅助放射科公司如下。

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

Q5. 未来人工智慧辅助放射学领域最大的是哪一个？

A5.Lucintel 预测，神经病学将在预测期内实现最高增长，因为该领域将越来越多地利用人工智慧来提高准确性、加强患者照护并提高效率。

Q6.未来五年人工智慧辅助放射诊断预计哪个地区成长最大？

A6. 由于其高度先进的基础设施和高人均收入，预计北美在预测期内将出现最高的增长。

Q7. 可以客製化报告吗？

A7. 是的，Lucintel 提供 10% 的客製化服务，无需额外费用。

目录

第一章执行摘要

第二章 全球人工智慧辅助放射学：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势与预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球人工智慧辅助放射学趋势（2018-2023）和预测（2024-2030）
  • 全球人工智慧辅助放射学：按类型
    • X射线
    • 磁振造影
    • CT检查
    • 正子断层扫描
    • 超音波
    • 其他的
  • 全球人工智慧辅助放射学：按应用分类
    • 神经病学
    • 乳房X光照相术
    • 心血管
    • 呼吸系统/肺
    • 整形外科
    • 其他的
  • 全球人工智慧辅助放射学：按最终用途分类
    • 医院
    • 影像诊断中心
    • 其他的

第四章市场趋势与预测分析：按地区（2018-2030）

  • 全球人工智慧辅助放射学：按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 按类型
    • 按用途
    • 按最终用途
    • 按地区
  • 全球人工智慧辅助放射学新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球人工智慧辅助放射学能力
    • 全球人工智慧辅助放射领域的併购与合资
    • 认证和许可

第七章主要企业概况

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

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