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市场调查报告书
商品编码
1566932

人工智慧医疗诊断应用市场：按应用程式、部署模型、最终用户划分：2024-2033 年全球机会分析与产业预测

AI Medical Diagnosis App Market By Application , By Deployment Model By End User : Global Opportunity Analysis and Industry Forecast, 2024-2033
出版日期: | 出版商: Allied Market Research | 英文 216 Pages | 商品交期: 2-3个工作天内

价格
简介目录

AI医疗诊断应用市场

2023年人工智慧医疗诊断应用市场估值为9亿美元，预计2024年至2033年复合年增长率为19.1%，到2033年达到52亿美元。

人工智慧医疗诊断应用程式是利用人工智慧和机器学习演算法支援诊断医疗状况并提供医疗建议的软体。这些应用程式分析资料和患者病史以产生潜在的诊断并提供建议。诊断应用程式的主要功能包括为每位患者提供个人化的解决方案，并协助医疗机构为患者提供远端监控。

随着偏远和服务欠缺地区对先进医疗保健的需求不断增加，对人工智慧医疗诊断应用程式的需求也在显着增加。此外，由于全球缺乏熟练的医生和医疗保健提供者，应用程式透过提供线上咨询减少等待时间，从而减轻负担并推动市场成长。为了提高和促进远端医疗的有效性，开发人员设计了非常用户友好的应用程序，患者可以在其中记录他们的疾病状态和身体生命体征。这些应用程式正在推动即时诊断的趋势，并帮助医疗保健提供者立即采取行动。

然而，应用程式的准确性并不完全可靠，阻碍了人工智慧医疗诊断应用程式市场的成长。遵守道德和资料隐私标准也是一个复杂且耗时的过程，这是市场开拓的限制。各种监管机构（例如美国的《健康保险互通性和课责法案》和欧洲的《一般资料保护条例》）对病患资料的收集、储存和使用制定了严格的准则。根据指南，对患者资料的存取仅限于授权负责人，并定期进行审核以监控和追踪存取。

按部门审查

人工智慧医疗诊断应用市场分为应用程式、部署模型、最终用户和区域。根据应用，市场分为放射学、病理学、循环系统、皮肤病学等。依部署模式分为云端基础和本地部署。依最终用户划分，可分为医院、诊断中心、诊所等。从区域来看，分析包括北美、欧洲、亚太地区和拉丁美洲地区。

主要发现

在AI医疗诊断App市场中，从应用来看，放射诊断领域占据主导地位。

从部署模式来看，云端基础的细分市场占有很高的份额。

从最终用户来看，医院细分市场在人工智慧医疗诊断应用市场中占有较高份额。

按地区划分，北美市场收益最高。

可以自订此报告（需要额外的费用和时间表）

  • 监管指引
  • 根据客户兴趣新增其他公司简介
  • 平均售价分析/价格分布分析
  • 历史市场资料
  • 赎回场景

目录

第一章简介

第 2 章执行摘要

第三章 市场状况

  • 市场定义和范围
  • 主要发现
    • 主要投资机会
    • 关键成功策略
  • 波特五力分析
  • 市场动态
    • 促进因素
    • 抑制因素
    • 机会

第四章 人工智慧医疗诊断应用市场：依应用分类

  • 市场概况
  • 放射学
  • 病理
  • 心臟病学
  • 皮肤科
  • 其他的

第五章人工智慧医疗诊断应用市场：按部署模式

  • 市场概况
  • 云端基础
  • 本地

第六章 人工智慧医疗诊断应用市场：依最终用户分类

  • 市场概况
  • 医院
  • 诊断中心
  • 诊所
  • 其他的

第七章 人工智慧医疗诊断应用市场：按地区

  • 市场概况
  • 北美洲
    • 主要市场趋势和机会
    • 美国人工智慧医疗诊断应用市场
    • 加拿大的人工智慧医疗诊断应用市场
    • 墨西哥人工智慧医疗诊断应用市场
  • 欧洲
    • 主要市场趋势和机会
    • 法国AI医疗诊断应用市场
    • 德国人工智慧医疗诊断应用市场
    • 义大利人工智慧医疗诊断应用市场
    • 西班牙的人工智慧医疗诊断应用市场
    • 英国人工智慧医疗诊断应用市场
    • 其他欧洲国家人工智慧医疗诊断应用市场
  • 亚太地区
    • 主要市场趋势和机会
    • 中国人工智慧医疗诊断应用市场
    • 日本AI医疗诊断应用市场
    • 印度人工智慧医疗诊断应用市场
    • 韩国AI医疗诊断应用市场
    • 澳洲人工智慧医疗诊断应用市场
    • 其他亚太地区人工智慧医疗诊断应用市场
  • 拉丁美洲/中东/非洲
    • 主要市场趋势和机会
    • 巴西的人工智慧医疗诊断应用市场
    • 南非的人工智慧医疗诊断应用市场
    • 沙乌地阿拉伯的人工智慧医疗诊断应用市场
    • 其他拉丁美洲/中东/非洲人工智慧医疗诊断应用市场

第八章 竞争格局

  • 介绍
  • 关键成功策略
  • 10家主要企业产品图谱
  • 竞争对手仪表板
  • 竞争热图
  • 主要企业定位（2023年）

第九章 公司简介

  • Microsoft NVIDIA Corporation
  • Merative Intel Corporation
  • Siemens Healthineers
  • GE HealthCare
  • Digital Diagnostics Inc.
  • Advanced Micro Devices, Inc
  • InformAl
  • HeartFlow, Inc.
  • Enlitic, Inc.
  • Icometrix
  • Aidence
  • Butterfly Network, Inc.
简介目录
Product Code: A323964

AI Medical Diagnosis App Market

The AI medical diagnosis app market was valued at $0.9 billion in 2023 and is projected to reach $5.2 billion by 2033, growing at a CAGR of 19.1% from 2024 to 2033.

An AI medical diagnosis app is a software which assists in the diagnosis of medical conditions or provision of medical advice through the utilization of AI and machine learning algorithms. These apps analyze the data and patient history to generate potential diagnoses and offer recommendations. The key attributes of the diagnosis apps include offering personalized solutions for each patient and aid healthcare institutions in providing remote monitoring to their patients.

With increasing requirement for advanced healthcare in remote locations and underserved regions, the demand for AI medical diagnosis app is rising significantly. Furthermore, the shortage of proficient doctors and healthcare providers across the globe is driving the growth of the market as the app mitigates the load by reducing waiting times through the provision of online consultations. To enhance the efficacy and promote telemedicine, developers are designing highly user-friendly applications, in which patients are able to record their disease conditions or body vital. Such apps are fostering the trend of real-time diagnosis and helping the healthcare providers take instant actions.

However, the accuracy of the apps is not entirely reliable, thereby hampering the growth of the AI medical diagnosis app market. In addition, compliance with the ethical and data privacy standards is an intricate and time-consuming process, which restraints market development. Different regulatory bodies such as Health Insurance Portability and Accountability Act in the U.S. and General Data Protection Regulation in Europe have imposed stringent guidelines regarding the collection, storage, and usage of patient data. As per the guidelines, access to patient data is limited to authorized personnel, which is subject to periodic audits to monitor and track the access.

Segment Review

The AI medical diagnosis app market is segmented into application, deployment model, end user, and region. On the basis of application, the market is divided into radiology, pathology, cardiology, dermatology, and other. As per deployment model, it is bifurcated into cloud-based and on-premises. Depending on end user, it is classified into hospitals, diagnostic centers, clinics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key Findings

On the basis of application, the radiology segment dominates in the AI medical diagnosis app market.

As per deployment model, the cloud-based segment acquires a high share of the market.

Depending on end user, the hospitals segment is the highest shareholder of the AI medical diagnosis app market.

Region wise, North America is the highest revenue generator in the market.

Competition Analysis

The leading players operating in the global AI medical diagnosis app market include Microsoft NVIDIA Corporation, Merative Intel Corporation, Siemens Healthineers, GE HealthCare, Digital Diagnostics Inc., Advanced Micro Devices, Inc, InformAl, HeartFlow, Inc., Enlitic, Inc., icometrix, Aidence, and Butterfly Network, Inc. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, to strengthen their foothold in the competitive market.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
  • Free Updated report if the report is 6-12 months old or older.
  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Regulatory Guidelines
  • Additional company profiles with specific to client's interest
  • Average Selling Price Analysis / Price Point Analysis
  • Historic market data
  • Reimbursement Scenario

Key Market Segments

By Application

  • Radiology
  • Pathology
  • Cardiology
  • Dermatology
  • Other

By Deployment Model

  • Cloud-based
  • On-premises

By End User

  • Hospitals
  • Diagnostic Centers
  • Clinics
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • South Africa
    • Saudi Arabia
    • Rest of LAMEA

Key Market Players:

    • Microsoft NVIDIA Corporation
    • Merative Intel Corporation
    • Siemens Healthineers
    • GE HealthCare
    • Digital Diagnostics Inc.
    • Advanced Micro Devices, Inc
    • InformAl
    • HeartFlow, Inc.
    • Enlitic, Inc.
    • icometrix
    • Aidence
    • Butterfly Network, Inc.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report Description
  • 1.2. Key Market Segments
  • 1.3. Key Benefits
  • 1.4. Research Methodology
    • 1.4.1. Primary Research
    • 1.4.2. Secondary Research
    • 1.4.3. Analyst Tools and Models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET LANDSCAPE

  • 3.1. Market Definition and Scope
  • 3.2. Key Findings
    • 3.2.1. Top Investment Pockets
    • 3.2.2. Top Winning Strategies
  • 3.3. Porter's Five Forces Analysis
    • 3.3.1. Bargaining Power of Suppliers
    • 3.3.2. Threat of New Entrants
    • 3.3.3. Threat of Substitutes
    • 3.3.4. Competitive Rivalry
    • 3.3.5. Bargaining Power among Buyers
  • 3.4. Market Dynamics
    • 3.4.1. Drivers
    • 3.4.2. Restraints
    • 3.4.3. Opportunities

CHAPTER 4: AI MEDICAL DIAGNOSIS APP MARKET, BY APPLICATION

  • 4.1. Market Overview
    • 4.1.1 Market Size and Forecast, By Application
  • 4.2. Radiology
    • 4.2.1. Key Market Trends, Growth Factors and Opportunities
    • 4.2.2. Market Size and Forecast, By Region
    • 4.2.3. Market Share Analysis, By Country
  • 4.3. Pathology
    • 4.3.1. Key Market Trends, Growth Factors and Opportunities
    • 4.3.2. Market Size and Forecast, By Region
    • 4.3.3. Market Share Analysis, By Country
  • 4.4. Cardiology
    • 4.4.1. Key Market Trends, Growth Factors and Opportunities
    • 4.4.2. Market Size and Forecast, By Region
    • 4.4.3. Market Share Analysis, By Country
  • 4.5. Dermatology
    • 4.5.1. Key Market Trends, Growth Factors and Opportunities
    • 4.5.2. Market Size and Forecast, By Region
    • 4.5.3. Market Share Analysis, By Country
  • 4.6. Other
    • 4.6.1. Key Market Trends, Growth Factors and Opportunities
    • 4.6.2. Market Size and Forecast, By Region
    • 4.6.3. Market Share Analysis, By Country

CHAPTER 5: AI MEDICAL DIAGNOSIS APP MARKET, BY DEPLOYMENT MODEL

  • 5.1. Market Overview
    • 5.1.1 Market Size and Forecast, By Deployment Model
  • 5.2. Cloud-based
    • 5.2.1. Key Market Trends, Growth Factors and Opportunities
    • 5.2.2. Market Size and Forecast, By Region
    • 5.2.3. Market Share Analysis, By Country
  • 5.3. On-premises
    • 5.3.1. Key Market Trends, Growth Factors and Opportunities
    • 5.3.2. Market Size and Forecast, By Region
    • 5.3.3. Market Share Analysis, By Country

CHAPTER 6: AI MEDICAL DIAGNOSIS APP MARKET, BY END USER

  • 6.1. Market Overview
    • 6.1.1 Market Size and Forecast, By End User
  • 6.2. Hospitals
    • 6.2.1. Key Market Trends, Growth Factors and Opportunities
    • 6.2.2. Market Size and Forecast, By Region
    • 6.2.3. Market Share Analysis, By Country
  • 6.3. Diagnostic Centers
    • 6.3.1. Key Market Trends, Growth Factors and Opportunities
    • 6.3.2. Market Size and Forecast, By Region
    • 6.3.3. Market Share Analysis, By Country
  • 6.4. Clinics
    • 6.4.1. Key Market Trends, Growth Factors and Opportunities
    • 6.4.2. Market Size and Forecast, By Region
    • 6.4.3. Market Share Analysis, By Country
  • 6.5. Others
    • 6.5.1. Key Market Trends, Growth Factors and Opportunities
    • 6.5.2. Market Size and Forecast, By Region
    • 6.5.3. Market Share Analysis, By Country

CHAPTER 7: AI MEDICAL DIAGNOSIS APP MARKET, BY REGION

  • 7.1. Market Overview
    • 7.1.1 Market Size and Forecast, By Region
  • 7.2. North America
    • 7.2.1. Key Market Trends and Opportunities
    • 7.2.2. Market Size and Forecast, By Application
    • 7.2.3. Market Size and Forecast, By Deployment Model
    • 7.2.4. Market Size and Forecast, By End User
    • 7.2.5. Market Size and Forecast, By Country
    • 7.2.6. U.S. AI Medical Diagnosis App Market
      • 7.2.6.1. Market Size and Forecast, By Application
      • 7.2.6.2. Market Size and Forecast, By Deployment Model
      • 7.2.6.3. Market Size and Forecast, By End User
    • 7.2.7. Canada AI Medical Diagnosis App Market
      • 7.2.7.1. Market Size and Forecast, By Application
      • 7.2.7.2. Market Size and Forecast, By Deployment Model
      • 7.2.7.3. Market Size and Forecast, By End User
    • 7.2.8. Mexico AI Medical Diagnosis App Market
      • 7.2.8.1. Market Size and Forecast, By Application
      • 7.2.8.2. Market Size and Forecast, By Deployment Model
      • 7.2.8.3. Market Size and Forecast, By End User
  • 7.3. Europe
    • 7.3.1. Key Market Trends and Opportunities
    • 7.3.2. Market Size and Forecast, By Application
    • 7.3.3. Market Size and Forecast, By Deployment Model
    • 7.3.4. Market Size and Forecast, By End User
    • 7.3.5. Market Size and Forecast, By Country
    • 7.3.6. France AI Medical Diagnosis App Market
      • 7.3.6.1. Market Size and Forecast, By Application
      • 7.3.6.2. Market Size and Forecast, By Deployment Model
      • 7.3.6.3. Market Size and Forecast, By End User
    • 7.3.7. Germany AI Medical Diagnosis App Market
      • 7.3.7.1. Market Size and Forecast, By Application
      • 7.3.7.2. Market Size and Forecast, By Deployment Model
      • 7.3.7.3. Market Size and Forecast, By End User
    • 7.3.8. Italy AI Medical Diagnosis App Market
      • 7.3.8.1. Market Size and Forecast, By Application
      • 7.3.8.2. Market Size and Forecast, By Deployment Model
      • 7.3.8.3. Market Size and Forecast, By End User
    • 7.3.9. Spain AI Medical Diagnosis App Market
      • 7.3.9.1. Market Size and Forecast, By Application
      • 7.3.9.2. Market Size and Forecast, By Deployment Model
      • 7.3.9.3. Market Size and Forecast, By End User
    • 7.3.10. UK AI Medical Diagnosis App Market
      • 7.3.10.1. Market Size and Forecast, By Application
      • 7.3.10.2. Market Size and Forecast, By Deployment Model
      • 7.3.10.3. Market Size and Forecast, By End User
    • 7.3.11. Rest of Europe AI Medical Diagnosis App Market
      • 7.3.11.1. Market Size and Forecast, By Application
      • 7.3.11.2. Market Size and Forecast, By Deployment Model
      • 7.3.11.3. Market Size and Forecast, By End User
  • 7.4. Asia-Pacific
    • 7.4.1. Key Market Trends and Opportunities
    • 7.4.2. Market Size and Forecast, By Application
    • 7.4.3. Market Size and Forecast, By Deployment Model
    • 7.4.4. Market Size and Forecast, By End User
    • 7.4.5. Market Size and Forecast, By Country
    • 7.4.6. China AI Medical Diagnosis App Market
      • 7.4.6.1. Market Size and Forecast, By Application
      • 7.4.6.2. Market Size and Forecast, By Deployment Model
      • 7.4.6.3. Market Size and Forecast, By End User
    • 7.4.7. Japan AI Medical Diagnosis App Market
      • 7.4.7.1. Market Size and Forecast, By Application
      • 7.4.7.2. Market Size and Forecast, By Deployment Model
      • 7.4.7.3. Market Size and Forecast, By End User
    • 7.4.8. India AI Medical Diagnosis App Market
      • 7.4.8.1. Market Size and Forecast, By Application
      • 7.4.8.2. Market Size and Forecast, By Deployment Model
      • 7.4.8.3. Market Size and Forecast, By End User
    • 7.4.9. South Korea AI Medical Diagnosis App Market
      • 7.4.9.1. Market Size and Forecast, By Application
      • 7.4.9.2. Market Size and Forecast, By Deployment Model
      • 7.4.9.3. Market Size and Forecast, By End User
    • 7.4.10. Australia AI Medical Diagnosis App Market
      • 7.4.10.1. Market Size and Forecast, By Application
      • 7.4.10.2. Market Size and Forecast, By Deployment Model
      • 7.4.10.3. Market Size and Forecast, By End User
    • 7.4.11. Rest of Asia-Pacific AI Medical Diagnosis App Market
      • 7.4.11.1. Market Size and Forecast, By Application
      • 7.4.11.2. Market Size and Forecast, By Deployment Model
      • 7.4.11.3. Market Size and Forecast, By End User
  • 7.5. LAMEA
    • 7.5.1. Key Market Trends and Opportunities
    • 7.5.2. Market Size and Forecast, By Application
    • 7.5.3. Market Size and Forecast, By Deployment Model
    • 7.5.4. Market Size and Forecast, By End User
    • 7.5.5. Market Size and Forecast, By Country
    • 7.5.6. Brazil AI Medical Diagnosis App Market
      • 7.5.6.1. Market Size and Forecast, By Application
      • 7.5.6.2. Market Size and Forecast, By Deployment Model
      • 7.5.6.3. Market Size and Forecast, By End User
    • 7.5.7. South Africa AI Medical Diagnosis App Market
      • 7.5.7.1. Market Size and Forecast, By Application
      • 7.5.7.2. Market Size and Forecast, By Deployment Model
      • 7.5.7.3. Market Size and Forecast, By End User
    • 7.5.8. Saudi Arabia AI Medical Diagnosis App Market
      • 7.5.8.1. Market Size and Forecast, By Application
      • 7.5.8.2. Market Size and Forecast, By Deployment Model
      • 7.5.8.3. Market Size and Forecast, By End User
    • 7.5.9. Rest of LAMEA AI Medical Diagnosis App Market
      • 7.5.9.1. Market Size and Forecast, By Application
      • 7.5.9.2. Market Size and Forecast, By Deployment Model
      • 7.5.9.3. Market Size and Forecast, By End User

CHAPTER 8: COMPETITIVE LANDSCAPE

  • 8.1. Introduction
  • 8.2. Top Winning Strategies
  • 8.3. Product Mapping of Top 10 Player
  • 8.4. Competitive Dashboard
  • 8.5. Competitive Heatmap
  • 8.6. Top Player Positioning, 2023

CHAPTER 9: COMPANY PROFILES

  • 9.1. Microsoft NVIDIA Corporation
    • 9.1.1. Company Overview
    • 9.1.2. Key Executives
    • 9.1.3. Company Snapshot
    • 9.1.4. Operating Business Segments
    • 9.1.5. Product Portfolio
    • 9.1.6. Business Performance
    • 9.1.7. Key Strategic Moves and Developments
  • 9.2. Merative Intel Corporation
    • 9.2.1. Company Overview
    • 9.2.2. Key Executives
    • 9.2.3. Company Snapshot
    • 9.2.4. Operating Business Segments
    • 9.2.5. Product Portfolio
    • 9.2.6. Business Performance
    • 9.2.7. Key Strategic Moves and Developments
  • 9.3. Siemens Healthineers
    • 9.3.1. Company Overview
    • 9.3.2. Key Executives
    • 9.3.3. Company Snapshot
    • 9.3.4. Operating Business Segments
    • 9.3.5. Product Portfolio
    • 9.3.6. Business Performance
    • 9.3.7. Key Strategic Moves and Developments
  • 9.4. GE HealthCare
    • 9.4.1. Company Overview
    • 9.4.2. Key Executives
    • 9.4.3. Company Snapshot
    • 9.4.4. Operating Business Segments
    • 9.4.5. Product Portfolio
    • 9.4.6. Business Performance
    • 9.4.7. Key Strategic Moves and Developments
  • 9.5. Digital Diagnostics Inc.
    • 9.5.1. Company Overview
    • 9.5.2. Key Executives
    • 9.5.3. Company Snapshot
    • 9.5.4. Operating Business Segments
    • 9.5.5. Product Portfolio
    • 9.5.6. Business Performance
    • 9.5.7. Key Strategic Moves and Developments
  • 9.6. Advanced Micro Devices, Inc
    • 9.6.1. Company Overview
    • 9.6.2. Key Executives
    • 9.6.3. Company Snapshot
    • 9.6.4. Operating Business Segments
    • 9.6.5. Product Portfolio
    • 9.6.6. Business Performance
    • 9.6.7. Key Strategic Moves and Developments
  • 9.7. InformAl
    • 9.7.1. Company Overview
    • 9.7.2. Key Executives
    • 9.7.3. Company Snapshot
    • 9.7.4. Operating Business Segments
    • 9.7.5. Product Portfolio
    • 9.7.6. Business Performance
    • 9.7.7. Key Strategic Moves and Developments
  • 9.8. HeartFlow, Inc.
    • 9.8.1. Company Overview
    • 9.8.2. Key Executives
    • 9.8.3. Company Snapshot
    • 9.8.4. Operating Business Segments
    • 9.8.5. Product Portfolio
    • 9.8.6. Business Performance
    • 9.8.7. Key Strategic Moves and Developments
  • 9.9. Enlitic, Inc.
    • 9.9.1. Company Overview
    • 9.9.2. Key Executives
    • 9.9.3. Company Snapshot
    • 9.9.4. Operating Business Segments
    • 9.9.5. Product Portfolio
    • 9.9.6. Business Performance
    • 9.9.7. Key Strategic Moves and Developments
  • 9.10. Icometrix
    • 9.10.1. Company Overview
    • 9.10.2. Key Executives
    • 9.10.3. Company Snapshot
    • 9.10.4. Operating Business Segments
    • 9.10.5. Product Portfolio
    • 9.10.6. Business Performance
    • 9.10.7. Key Strategic Moves and Developments
  • 9.11. Aidence
    • 9.11.1. Company Overview
    • 9.11.2. Key Executives
    • 9.11.3. Company Snapshot
    • 9.11.4. Operating Business Segments
    • 9.11.5. Product Portfolio
    • 9.11.6. Business Performance
    • 9.11.7. Key Strategic Moves and Developments
  • 9.12. Butterfly Network, Inc.
    • 9.12.1. Company Overview
    • 9.12.2. Key Executives
    • 9.12.3. Company Snapshot
    • 9.12.4. Operating Business Segments
    • 9.12.5. Product Portfolio
    • 9.12.6. Business Performance
    • 9.12.7. Key Strategic Moves and Developments