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市場調查報告書

醫療圖像分析的全球市場:分析與預測 (2017-2025年)

Global Medical Image Analytics Market - Analysis and Forecast 2017-2025: Focus on Products, Applications, Imaging Modalities, End Users, Country Analysis, Patent Analysis, Market Share Analysis & Competitive Landscape

出版商 BIS Research Private Limited 商品編碼 599334
出版日期 內容資訊 英文 402 Pages
商品交期: 最快1-2個工作天內
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醫療圖像分析的全球市場:分析與預測 (2017-2025年) Global Medical Image Analytics Market - Analysis and Forecast 2017-2025: Focus on Products, Applications, Imaging Modalities, End Users, Country Analysis, Patent Analysis, Market Share Analysis & Competitive Landscape
出版日期: 2018年01月04日 內容資訊: 英文 402 Pages
簡介

本報告提供全球醫療圖像分析市場相關調查,各產品、顯像模式、應用、終端用戶,及各地區的分析,現在、未來市場規模,宏、微觀環境要素,競爭情形與市場佔有率分析,及主要打入市場企業的簡介等彙整資料。

摘要整理

第1章 調查範圍、調查手法

第2章 市場概要

  • 概要
  • 重要的事實
  • 放射線科醫生的模式
  • 在醫療的決策中軟體所提供資訊的重要性
  • 醫療圖像軟體所扮演的角色

第3章 市場動態

  • 概要
  • 市場成長的促進要素的影響分析
  • 市場成長的促進要素
  • 市場成長的阻礙因素的影響分析
  • 阻礙市場要素
  • 市場機會

第4章 競爭情形

  • 市場發展、策略
  • 法律上的必要條件、規定
  • 產業的魅力
  • 價值鏈分析
  • 市場佔有率分析

第5章 產業分析

  • 專利形勢
  • 國際集團,協會,及法規團體

第6章 全球醫療圖像分析市場:各產品

  • 概要
  • 獨立型軟體
  • 整合型軟體

第7章 全球醫療圖像分析市場:各影像類型

  • 概要
  • 2D影像
  • 3D影像
  • 4D影像

第8章 全球醫療圖像分析市場:各顯像模式

  • 概要
  • 乳房X光攝影
  • CT
  • MRI
  • 複合模式
  • 超音波
  • 其他

第9章 全球醫療圖像分析市場:各應用領域

  • 概要
  • 心臟
  • 腫瘤
  • 神經
  • 牙科
  • 婦產科
  • 其他

第10章 全球醫療圖像分析市場:各終端用戶

  • 概要
  • 醫院
  • 診斷影像中心
  • 其他

第11章 全球醫療圖像分析市場:各地區

  • 概要
  • 北美
  • 歐洲
  • 亞太地區
  • 南美
  • 其他 (ROW)

第12章 企業簡介

  • Agfa Healthcare NV
  • Arterys Inc.
  • Aquilab
  • Carestream Health
  • Dentsply Sirona
  • Esaote
  • GE Healthcare
  • Hologic Inc.
  • Infinitt Healthcare
  • Media cybernetics
  • MIM Software Inc.
  • Neusoft Medical
  • Philips Group
  • Siemens Healthineers
  • 東芝Medical
  • Bruker Corporation
  • Circle Cardiovascular Imaging Inc.
  • Image Analysis
  • Intrasense
  • Medis Medical Imaging Systems BV
  • MeVis Medical Solutions AG
  • Parascript LLC
  • ScienceSoft USA Corporation
  • Soredex
  • Xinapse
目錄
Product Code: BH041A

The medical image analytics software for specific applications are designed to perform a detailed analysis of specific organs or organ systems as per the requirements of medical diagnosis. Such application have been developed for cardiovascular system including the heart, for central and peripheral nervous system including the brain, for orthopedic and musculoskeletal systems, for nephrology, oncology and for several other medical fields.

The medical image analytics is the science of solving and analyzing medical problems based on different imaging modalities such mammography, MRI, computed tomography (CT) and ultrasound, radiography X-Ray and combined modality, among others. Further, the primary purpose of medical image analysis is the extraction of meaningful information to support disease diagnosis and therapy.

The software plays a vital role in medical image analytics. It is a program designed to perform specific task. It helps in analytics and interpretation of large volume of medical data and images. A very vital function that medical software performs after the image has been acquired in digital form is the analysis of the acquired image to extract medically or clinically relevant information for diagnosis and treatment planning. Software capable of performing these functions are known as medical image analytics software. These software can be a general purpose or designed for a specific medical application. The general purpose software can perform regular image processing application like segmentation, contouring and thresholding to make the region of interest more prominent and obvious as compared to the surrounding regions.

However, the medical image analytics software for specific applications are designed to perform detailed analysis of specific organs or organ systems as per the requirements of medical diagnosis. Such applications have been developed for cardiovascular system including the heart, for central and peripheral nervous system including the brain, for orthopedic and musculoskeletal systems, for nephrology, oncology and many other medical fields.

This research study includes an extensive analysis of the global medical image analytics market, by product, imaging modalities, application, end-user and geographical regions, allowing the researcher to develop a comprehensive outlook of the market. Each of these segments have been analyzed on the basis of their current and future market size, considering the macro and micro environmental factors.

The market report presents a detailed and investigative study of the entire market and provides a comprehensive insight into various forms of developments, trends and the key market participants. While highlighting the key driving and restraining forces for this dynamic market, the report also provides a comprehensive section on competitive landscape, market share analysis, competitive benchmarking, and the position of the competitors within the global medical image analytics market.

The following key questions have been addressed in the report:

  • What are the major market drivers, challenges and opportunities of the global medical image analytics market?
  • How the medical image analytics evolve and what is its scope in the future?
  • What were the market shares of the leading segments and sub-segments of the global medical image analytics market in 2016 and what will be the shares in 2025?
  • How will each segment of the global medical image analytics market grow during the forecast period and what will be the revenue generated by each of the segments by the end of 2025?
  • How the market share of the leading companies changed in 2016 and which country will lead the market in 2017?
  • How will the industry evolve during the forecast period between 2017 and 2025?
  • What are the key developmental strategies implemented by the key players to stand out in this market?
  • How the market has been segmented on the basis of product, imaging modality, application, end-user and region?
  • Which product, imaging modality, application and end-user will dominate the global medical image analytics market by the end of the forecast period and which one will be growing at the highest CAGR during the forecast period 2017-2025?
  • What will be the growth rate of different segments during the forecast period? Which is the leading segment by product, imaging modality, application, end-user and region?
  • Who are the key players for the medical image analytics market?
  • Which geographical region will lead the global medical image analytics market by the end of the forecast period?
  • Which country is expected to grow at the highest CAGR during the forecast period?

The key players which have significant contributions to the medical image analytics market are Siemens Healthineers, GE Healthcare, Hologic Inc., Toshiba Medical Corporation, Agfa Healthcare, Infinitt Healthcare, Media Cybernetics, MIM Software Inc., Philips Healthcare, Carestream Health, Aquilab, Hologic Inc., Neusoft Medical, Mirada Medical Ltd. and Dentsply Sirona, among others.

Executive Summary

The development of medical imaging during the past 30 years has been one of the greatest success stories in the history of medicine and applied sciences at large. The significant progress made in visualizing the anatomy and function of the human body and thereby empowering medical doctors to exclude, detect, characterize and eventually treat diseases, has revolutionized the medicine. However, with millions of medical images generated each year represent an enormous challenge for healthcare organizations as they struggle to manage, access, analyse and interpret this colossal volume images while trying to reduce costs. In addition, this sheer burden of increasing volume of data and patient information, has substantially deteriorate the performance of hospitals and health systems across the globe.

Advances in healthcare IT technologies, computing power, faster networks and cheaper storage has revolutionized medical imaging over the recent past, allowing doctors to manage images, analyse, and interpret more easily and flexibly than in the last decade. Computerized medical imaging analysis is one such advancement that have been the central focus in medical imaging in last few years. Medical image analysis has become a vital technology in high-tech applications in diagnostics and ubiquitous part of modern medical imaging systems and the related processes of clinical diagnosis and intervention. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images.

Medical image analysis software application perform a vital role after the image has been acquired in digital form is the analysis of the acquired image to extract medically or clinically relevant information for diagnosis & treatment planning. It can be either for a general purpose or designed for any specific medical application area. The general purpose software can perform regular image processing applications such as segmentation, contouring and thresholding to make the region of interest more prominent and obvious as compared to the surrounding regions.

The medical image analytics software for specific applications are designed to perform a detailed analysis of specific organs or organ systems as per the requirements of medical diagnosis. Such application have been developed for cardiovascular system including the heart, for central and peripheral nervous system including the brain, for orthopedic and musculoskeletal systems, for nephrology, oncology and for several other medical fields.

The medical image analytics software are used for interpreting the medical images acquired for various application area such as cardiology, oncology, neurology, orthopedics, obstetrics & gynecology, dental and many others. Cancer is one of the leading cause of mortality and morbidity globally and according to World Health Organization (WHO), the number of new cases is expected to rise by about 70% over the next 2 decades. Early detection requires an accurate and reliable diagnosis which should also be able to distinguish benign and malignant tumors. A good detection approach should produce both low false positive (FP) rate and false negative (FN) rate. For instance, mammography is the best detection method of breast cancer available today. However, all kind of breast cancer can't be detected by mammograms. In micro calcification cluster of breast cancer, the interpretations is very difficult. While in some dense tissues, and/ or skin thickening, MCCs areas are almost invisible to be seen by the examining radiologist. The sizes of micro calcification clusters (MCCs) are extremely tiny, typically in the range of 0.1mm- 1.0mm and the average is about 0.3mm, implying it can easily be overlooked by a radiologist. However, with the help of technologically advanced medical image analysis software the diagnosis are provided with high accuracy and specificity.

Similarly, neurological disorders are the most challenging to diagnose, manage and monitor due to the complex nervous system. Diagnosis of neurological diseases and their treatments demand high precision, dedication and experience. Neuroimaging with the help of had been witnessed as a potential tool for the diagnosis and treatment of neurodegenerative diseases or indications. Structural modalities such as computed tomography (CT) or the widely known magnetic resonance imaging (MRI), and later functional imaging techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT) provide unprecedented insight in the internals of the brain. However, the medical image analytical software aids the radiologists in a variety of methods that range from preprocessing of the images (just after acquisition) to advanced deep-learning algorithms to identify disease-related patterns.

Medical image analysis has great impacts on both clinical applications and scientific researches. Recent progresses in deep learning have shed new light on medical image analysis by allowing discovering morphological and/or textural patterns in images solely from data. As machine learning methods have achieved the state-of-the-art performance over different medical applications, its use for further improvement can be the major step in the medical image analysis field. However, there are still unanswered challenges to universal implementation of image analysis solution, with the need to establish quality standards, reduction of errors, and interpretability.

The millions of medical images generated each year represent an enormous challenge for healthcare organizations as they struggle to manage, access, analyse, and interpret image records. The sheer number of images ordered by physicians has exploded in the past 15 years. One study showed that the number of MRI units more than doubled between 2000 and 2014, while the number of CT units grew more than 50 percent. In addition, Medical image archives are increasing by 15 to 20 percent each year. It is projected that by 2020 there will be 5 billion medical images stored in the U.S. alone. The colossal growth in medical imaging will certainly boost the adoption of medical image analysis software in the coming days to reduce error, and processing time.

The product segment of the market comprises standalone software and integrated software. The standalone software acquired the highest market value in 2016 and growing at the CAGR of 5.2% during the forecast period 2017-2025. This can be attributed to the advantages associated with standalone software such as high flexibility with user friendly interface to visualize, observe, evaluate and process medical image data from different modalities. However, integrated software is growing at the highest CAGR 7.9%. This can attributed to the compatibility of the integrated software with the imaging equipment, easy handling and fast processing properties and facility of interlinking the database and storing the images for further analysis.

The imaging modalities segment of the market comprises of mammography, computed tomography (CT), magnetic resonance imaging (MRI), combined modality, ultrasound and radiographic X-ray, among others. The ultrasound segment constituted the highest market value in 2016 and growing at the CAGR of 5.6% during the forecast period 2017-2025. The growth can be attributed to the high adoption rate of ultrasound due to the significant advantages it provides such as precision in identifying the nature of lesion, low cost and lack of exposure to radiation. However, magnetic resonance imaging (MRI) is growing at the highest CAGR of 7.9% due to the forecast period 2017-2025. It can be attributed to the increasing adoption rate of MRI for diagnosing several diseases non-invasively and more accurately.

The application segment comprises of cardiology, oncology, neurology, orthopedics and obstetrics & gynecology, among others. The obstetrics & gynecology segment account for the highest market value in 2016 and growing at the CAGR of 4.6% during the forecast period 2017-2025. This can be attributed to the rising incidence rate of gynecology disorders globally such as fibroids, abnormal uterine bleeding, endometriosis, urinary incontinence, hemorrhoids & vaginal infections and further continuous technological advancement in the imaging modalities and its software platform for diagnosis purposes. However, the dental application segment is growing at the highest CAGR of 7.9% during the forecast period 2017-2025. This can be attributed to the increasing cases of oral diseases globally. Dental caries and periodontal diseases have historically been considered the most important global oral health burdens.

The end user segment comprises of hospitals and diagnostic centers, among others. The hospitals segment constituted the highest market value in 2016. The most important buyer of medical image analytics software are the hospitals which are significantly increasing in number. Growing disposable income, support of government in providing the favorable reimbursement policies to the end-users, are some of the factors which are further propelling the growth of this market. However, the diagnostics centers segment is growing at the highest CAGR of 8.8% during the forecast period 2017-2025. This can be attributed to the increasing adoption rate of technologically advanced medical image analytical software solutions across various diagnostic centers.

North America generated the highest market value in 2016. This can be attributed to the rising incidence of various types of chronic diseases, technological advancement in imaging equipment, increasing disposable income and support of government in enhancing the healthcare facilities and providing reimbursement policies for the end-users. However, RoW, comprising of Kingdom of Saudi Arabia (KSA), Israel, South Africa, Qatar, and UAE, among others, is expected to grow at the highest CAGR of 8.5% during the forecast period 2017-2025 followed by Latin America, owing to the rising incidence rate of chronic diseases, increasing disposable income, and education on the importance of early screening by various governmental agencies and non-governmental organizations (NGOs) in these regions

Table of Contents

Executive Summary

1 Report Scope and Methodology

  • 1.1. Scope of the Report
  • 1.2. Global Medical Image Analytics Market Segmentation
  • 1.3 Key Learnings
  • 1.4 Research Methodology
    • 1.4.1. Data Triangulation
    • 1.4.2. Key Data Points from Secondary Sources
    • 1.4.3. Secondary Data Sources
    • 1.4.4. Key Data Points From Primary Sources
    • 1.4.5. Top-Down Approach (Segmental Analysis)
    • 1.4.6. Bottom-Up Approach (Segmental Analysis)
    • 1.4.7. Assumptions and Limitations
    • 1.4.8 Data and Prediction Modelling

2 Market Overview

  • 2.1 Overview
  • 2.2 Important Facts
  • 2.3 Model of Radiologists
  • 2.4 Significance of Information Provided by Software to Healthcare Decisions
  • 2.5 Role of Software in Medical Imaging

3 Market Dynamics

  • 3.1 Overview
  • 3.2 Impact Analysis of Market Drivers
  • 3.3 Market Drivers
  • 3.4 Impact Analysis of Market Restraints
  • 3.5 Market Restraints
  • 3.6 Market Opportunities

4 Competitive Landscape

  • 4.1. Key Development and Strategies
    • 4.1.1 New Product Launches and Developments
    • 4.1.2 Approvals and Certifications
    • 4.1.3 Business Expansions/Contracts
    • 4.1.4 Collaborations, Joint Ventures and Partnerships
    • 4.1.5 Mergers & Acquisitions
    • 4.1.6 Others
  • 4.2. Legal Requirements and Regulations
  • 4.3 Industry Attractiveness
  • 4.4 Value Chain Analysis
  • 4.5 Market Share Analysis

5 Industry Analysis

  • 5.1 Patent Landscape
  • 5.2. Consortiums, Associations, and Regulatory Bodies

6 Global Medical Image Analytics Market by Product

  • 6.1 Overview
  • 6.2 Standalone Software
  • 6.3 Integrated Software

7 Global Medical Image Analytics Market by Imaging Type (Qualitative)

  • 7.1 Overview
  • 7.2 2D Imaging
  • 7.3 3D Imaging
  • 7.4 4D Imaging

8 Global Medical Image Analytics Market by Imaging Modality

  • 8.1 Overview
  • 8.2 Mammography
  • 8.3 Computed Tomography
  • 8.4 Magnetic Resonance Imaging
  • 8.5 Combined Modalities
  • 8.6 Ultrasound
  • 8.7 Others

9 Global Medical Image Analytics Market by Application

  • 9.1 Overview
  • 9.2 Cardiology
  • 9.3 Oncology
  • 9.4 Neurology
  • 9.5 Dental
  • 9.6 Obstetrics & Gynecology
  • 9.7 Others

10 Global Medical Image Analytics Market by End User

  • 10.1 Overview
  • 10.2 Hospitals
  • 10.3 Diagnostics Imaging Centers
  • 10.4 Others

11 Global Medical Image Analytics Market by Region

  • 11.1 Overview
  • 11.2 North America
    • 11.2.1 Overview
    • 11.2.2 The U.S.
    • 11.2.3 Canada
  • 11.3 Europe
    • 11.3.1 Overview
    • 11.3.2 Germany
    • 11.3.3 The U.K.
    • 11.3.4 France
    • 11.3.5 Italy
    • 11.3.6 Spain
    • 11.3.7 The Netherlands
    • 11.3.8 Belgium
    • 11.3.9 Turkey
    • 11.3.10 Russia
    • 11.3.11 Rest of Europe
  • 11.4 Asia-Pacific
    • 11.4.1 Asia-Pacific by Country
    • 11.4.2 China
    • 11.4.3 Japan
    • 11.4.4 India
    • 11.4.5 South Korea
    • 11.4.6 Australia
    • 11.4.7 Malaysia
    • 11.4.8 Indonesia
    • 11.4.9 Rest of Asia-Pacific
  • 11.5 Latin America
    • 11.5.1 Overview
    • 11.5.2 Brazil
    • 11.5.3 Mexico
    • 11.5.4 Rest of Latin America
  • 11.6 Rest of World
    • 11.6.1 Overview
    • 11.6.2 Kingdom of Saudi Arabia
    • 11.6.3 UAE
    • 11.6.4 Israel
    • 11.6.5 South Africa
    • 11.6.6 Qatar
    • 11.6.7 Rest of RoW

12 Company Profile

  • 12.1 Agfa Healthcare NV
    • 12.1.1 Overview
    • 12.1 Agfa-Gevaert NV
    • 12.1.2 Overview
    • 12.1.3 Product Mapping
    • 12.1.4 Financials
    • 12.1.4.1 Financial Summary
    • 12.1.5 SWOT Analysis
  • 12.2 Arterys Inc.
    • 12.2.1 Overview
    • 12.2.2 Product Mapping
    • 12.2.3 Overall Summary
    • 12.2.4 SWOT Analysis
  • 12.3 Aquilab
    • 12.3.1 Overview
    • 12.3.2 Product Mapping
    • 12.3.3 Overall Summary
    • 12.3.4 SWOT Analysis
  • 12.4 Carestream Health
    • 12.4.1 Overview
    • 12.4.2 Product Mapping
    • 12.4.3 Overall Summary
    • 12.4.4 SWOT Analysis
  • 12.5 Dentsply Sirona
    • 12.5.1 Overview
    • 12.5.2 Product Mapping
    • 12.5.3 Financials
    • 12.5.3.1 Financial Summary
    • 12.5.4 SWOT Analysis
  • 12.6 Esaote
    • 12.6.1 Overview
    • 12.6.2 Product Mapping
    • 12.6.3 Overall Summary
    • 12.6.4 SWOT Analysis
  • 12.7 GE Healthcare
    • 12.7.1 Overview
    • 12.7 General Electric
    • 12.7.2 Overview
    • 12.7.3 Product Mapping
    • 12.7.4 Financials
      • 12.7.4.1 Financial Summary
    • 12.7.5 SWOT Analysis
  • 12.8 Hologic Inc.
    • 12.8.1 Overview
    • 12.8.2 Product Mapping
    • 12.8.3 Financials
      • 12.8.3.1 Financial Summary
    • 12.8.4 SWOT Analysis
  • 12.9 Infinitt Healthcare
    • 12.9.1 Overview
    • 12.9.2 Product Mapping
    • 12.9.3 Overall Summary
    • 12.9.4 SWOT Analysis
  • 12.10 Media cybernetics
    • 12.10.1 Overview
    • 12.10 Roper Technologies
    • 12.10.2 Overview
    • 12.10.3 Product Mapping
    • 12.10.4 Financials
      • 12.10.4.1 Financial Summary
    • 12.10.5 SWOT Analysis
  • 12.11 Merge Healthcare Inc.
    • 12.11.1 Overview
    • 12.11 IBM Corporation
    • 12.11.2 Overview
    • 12.11.3 Product Mapping
    • 12.11.4 Financials
    • 12.11.4.1 Financial Summary
    • 12.11.5 SWOT Analysis
  • 12.12 Mirada Medical Ltd.
    • 12.12.1 Overview
    • 12.12.2 Product Mapping
    • 12.12.3 Overall Summary
    • 12.12.4 SWOT Analysis
  • 12.13 MIM Software Inc.
    • 12.13.1 Overview
    • 12.13.2 Product Mapping
    • 12.13.3 Overall Summary
    • 12.13.4 SWOT Analysis
  • 12.14 Neusoft Medical
    • 12.14.1 Overview
    • 12.14 Neusoft Corporation
    • 12.14.2 Overview
    • 12.14.3 Product Mapping
    • 12.14.4 Financials
    • 12.14.5 SWOT Analysis
  • 12.15 Philips Group
    • 12.15.1 Overview
    • 12.15.2 Product Mapping
    • 12.15.3 Financials
    • 12.15.3.1 Financial Summary
    • 12.15.4 SWOT Analysis
  • 12.16 Siemens Healthineers
    • 12.16.1 Overview
    • 12.16 Siemens
    • 12.16.2 Overview
    • 12.16.3 Product Mapping
    • 12.16.4 Financials
    • 12.16.4.1 Finacial Summary
    • 12.16.5 SWOT Analysis
  • 12.17 Toshiba Medical Corporation
    • 12.17.1 Overview
    • 12.17 Canon, Inc.
    • 12.17.2 Overview
    • 12.17.3 Product Mapping
    • 12.17.4 Financials
    • 12.17.4.1 Financial Summary
    • 12.17.5 SWOT Analysis
  • 12.18 Bruker Corporation
  • 12.19 Circle Cardiovascular Imaging Inc.
  • 12.20 Image Analysis
  • 12.21 Intrasense
  • 12.22 Medis Medical Imaging Systems BV
  • 12.23 MeVis Medical Solutions AG
  • 12.24 Parascript LLC
  • 12.25 ScienceSoft USA Corporation
  • 12.26 Soredex
  • 12.27 Xinapse

List of Tables

  • 1 Imaging Scans Volume Data (million units)
  • 2 Impact Analysis of Market Drivers
  • 3 Impact Analysis of Market Restraints
  • 4 Recent Product Launches and Developments
  • 5 Approvals & Certifications
  • 6 Business Expansions/Contracts
  • 7 Collaborations, Joint Ventures & Partnerships
  • 8 Mergers and Acquisitions
  • 9 Others Strategies
  • 10 Software as Medical Device (SaMD) Classification
  • 11 Patent Landscape
  • 12 Consortium, Association & Regulatory Bodies
  • 13 Difference Between 2D and 3D Images
  • 14 Some of the Mammography Image Analysis Software Solutions
  • 15 Some of the CT Image Analysis Software Solutions
  • 16 Some of the MRI Image Analysis Software Solutions
  • 17 Some of the PET Image Analysis Software Solutions
  • 18 Cardiology Image Analytics Software & Developers
  • 19 Oncology Image Analytics Software & Developers
  • 20 Neurology Image Analytics Software & Developers
  • 21 Dental Image Analytics Software & Developers
  • 22 Obstetrics & Gynecology Image Analytics Software & Developers
  • 23 Orthopedics Image Analytics Software & Developers
  • 24 Total Number of Hospitals
  • 25 Deaths due to Cardiovascular Disease in Europe
  • 26 Mortality Rate of Cardiovascular Diseases per 1,00,000 in China
  • 27 Overview: Agfa Healthcare NV
  • 28 Overview: Agfa Gevaert NV
  • 29 Overview: Arterys Inc.
  • 30 Overview: Aquilab
  • 31 Overview: Carestream Health
  • 32 Overview: Esaote
  • 33 Overview: GE Healthcare
  • 34 Overview: General Electric
  • 35 Overview: Hologic Inc.
  • 36 Overview: Infinitt Healthcare
  • 37 Overview: Media Cybernetics
  • 38 Overview: Roper Technologies
  • 39 Overview: Merge Healthcare Inc.
  • 40 Overview: IBM Corporation
  • 41 Overview: Mirada Medical Ltd.
  • 42 Overview: MIM Software Inc.
  • 43 Overview: Neusoft Medical
  • 44 Overview: Neusoft Corporation
  • 45 Overview: Philips Group
  • 46 Overview: Siemens Healthineers
  • 47 Overview: Siemens
  • 48 Overview: Toshiba Medical Corporation
  • 49 Overview: Canon Inc.
  • 50 Overview: Bruker Corporation
  • 51 Overview: Circle Cardiovascular Imaging Inc.
  • 52 Overview: Image Analysis
  • 53 Overview: Intrasense
  • 54 Overview: Medis Medical Imaging Systems BV
  • 55 Overview: Mevis Medical Solutions AG
  • 56 Overview: Parascript LLC
  • 57 Overview: ScienceSoft USA Corporation
  • 58 Overview: Soredex
  • 59 Overview: Xinapse

List of Figures

  • 1 Medical Imaging Industry Snapshot
  • 2 Growing Applications of Medical Image Analytics
  • 3 Medical Image Analysis: Market Overview
  • 4 Market Snapshot, Global Medical Image Analysis Market, 2016
  • 5 Global Medical Image Analytics Market Share by Product, 2025
  • 6 Global Medical Image Analytics Market Share by Imaging Modalities, 2016
  • 7 Global Medical Image Analytics Market Share by Imaging Modalities, 2025
  • 8 Global Medical Image Analytics Market Share by Application, 2016
  • 9 Global Medical Image Analytics Market Share by Application, 2025
  • 10 Global Medical Image Analytics Market Share by End-User, 2016
  • 11 Global Medical Image Analytics Market Share by End-User, 2025
  • 12 Global Medical Image Analytics Market Share by Region, 2016
  • 13 Global Medical Image Analytics Market Share by Region, 2025
  • 14 Global Medical Image Analytics Market Value by Region, 2016 -2025 ($Million)
  • 15 Global Medical Image Analytics Market Cumulative Growth Rate (2017-2025)
  • 16 Global Medical Image Analytics Market Segmentation
  • 17 Research Methodology
  • 18 Data Triangulation
  • 19 Key Data Points From Secondary Sources
  • 20 Key Data Points From Primary Sources
  • 21 Top-Down Approach (Segmental Analysis)
  • 22 Bottom-Up Approach (Segmental Analysis)
  • 23 Assumptions and Limitations
  • 24 Data and Prediction Modelling
  • 25 Important Facts
  • 26 Model of Radiologists
  • 27 Significance of Information Provided by Software to Healthcare Decisions
  • 28 Discovery of Medical Imaging Modalities
  • 29 Market Dynamics
  • 30 Market Drivers
  • 31 Market Restraints
  • 32 Market Opportunities
  • 33 Share of Key Developments and Strategies
  • 34 Porter's Five Forces Analysis
  • 35 Global Medical Image Analytics Market Share by Company, 2015
  • 36 Global Medical Image Analytics Market Share by Company, 2016
  • 37 Global Medical Image Analytics Market by Product, 2016-2025 ($Million)
  • 38 Standalone Software Medical Image Analytics Market, 2016-2025 ($Million)
  • 39 Integrated Software Medical Image Analytics Market, 2016-2025 ($Million)
  • 40 Global Medical Image Analytics Market by Imaging Type Segmentation
  • 41 Difference Between 2D & 3D Images
  • 42 Advantages of Using 3D Ultrasound
  • 43 Advantages of Using 4D Ultrasound
  • 44 Mammography Medical Image Analytics Market, 2016-2025 ($Million)
  • 45 Advantages & Disadvantages of Conventional Mammography Technique
  • 46 Advantages & Disadvantages of Digital Mammography Technique
  • 47 Computed Tomography Medical Image Analytics Market, 2016-2025 ($Million)
  • 48 Magnetic Resonance Imaging Medical Image Analytics Market, 2016-2025 ($Million)
  • 49 Merits & Demerits of Magnetic Resonance Imaging
  • 50 Combined Modality Medical Image Analytics Market, 2016-2025 ($Million)
  • 51 Advantages & Disadvantages of PET
  • 52 Ultrasound Medical Image Analytics Market, 2016-2025 ($Million)
  • 53 Advantages & Disadvantages of SPECT
  • 54 X-Ray Medical Image Analytics Market, 2016-2025 ($Million)
  • 55 Others Medical Image Analytics Market, 2016-2025 ($Million)
  • 56 Global Medical Image Analytics Market by Application, 2016-2025 ($Million)
  • 57 Cardiology Medical Image Analytics Market, 2016-2025 ($Million)
  • 58 Oncology Medical Image Analytics Market, 2016-2025 ($Million)
  • 59 Neurology Medical Image Analytics Market, 2016-2025 ($Million)
  • 60 Dental Medical Image Analytics Market, 2016-2025 ($Million)
  • 61 Obstetrics & Gynecology Medical Image Analytics Market, 2016-2025 ($Million)
  • 62 Orthopedics Medical Image Analytics Market, 2016-2025 ($Million)
  • 63 Others Medical Image Analytics Market, 2016-2025 ($Million)
  • 64 Global Medical Image Analytics Market by End-Users, 2016-2025 ($Million)
  • 65 Hospitals Medical Image Analytics Market, 2016-2025 ($Million)
  • 66 Diagnostic Centers Medical Image Analytics Market, 2016-2025 ($Million)
  • 67 Other End-User Medical Image Analytics Market, 2016-2025 ($Million)
  • 68 Global Medical Image Analytics Market,by Region
  • 69 Global Medical Image Analytics Market by Region, 2016-2025 ($Million)
  • 70 North America Medical Image Analytics Market, 2016-2025 ($Million)
  • 71 North America Medical Image Analytics Market by Country, 2016-2025 ($Million)
  • 72 Cancer Patient Data by Cancers Type in the U.S. (2016)
  • 73 U.S. Medical Image Analytics Market, 2016-2025 ($Million)
  • 74 Percentage of All Americans with Multiple Chronic Conditions- By Age Group
  • 75 Percentage of Patient Across Number of Chronic Conditions
  • 76 Canada Medical Image Analytics Market, 2016-2025 ($Million)
  • 78 European Medical Image Analytics Market, 2016-2025 ($Million)
  • 79 Europe Medical Image Analytics Market by Country, 2016-2025 ($Million)
  • 80 Germany Medical Image Analytics Market, 2016-2025 ($Million)
  • 81 The U.K. Medical Image Analytics Market, 2016-2025 ($Million)
  • 82 France Medical Image Analytics Market, 2016-2025 ($Million)
  • 83 Italy Medical Image Analytics Market, 2016-2025 ($Million)
  • 84 Spain Medical Image Analytics Market, 2016-2025 ($Million)
  • 85 Netherland Medical Image Analytics Market, 2016-2025 ($Million)
  • 86 Belgium Cancer Imaging System Market, 2016-2025 ($Million)
  • 87 Turkey Medical Image Analytics Market, 2016-2025 ($Million)
  • 88 Russia Medical Image Analytics Market, 2016-2025 ($Million)
  • 89 Rest of Europe Medical Image Analytics Market, 2016-2025 ($Million)
  • 91 Asia-Pacific Medical Image Analytics Market, 2016-2025 ($Million)
  • 92 Asia-Pacific Medical Image Analytics Market by Country, 2016-2025 ($Million)
  • 93 China Medical Image Analytics Market, 2016-2025 ($Million)
  • 94 China-Cancer Patient Data, 2016
  • 95 Japan Medical Image Analytics Market, 2016-2025 ($Million)
  • 96 India Medical Image Analytics Market, 2016-2025 ($Million)
  • 98 South Korea Medical Image Analytics Market, 2016-2025 ($Million)
  • 99 Australia Medical Image Analytics Market, 2016-2025 ($Million)
  • 100 Malaysia Medical Image Analytics Market, 2016-2025 ($Million)
  • 101 Indonesia Medical Image Analytics Market, 2016-2025 ($Million)
  • 102 Rest of Asia-Pacific Medical Image Analytics Market, 2016-2025 ($Million)
  • 103 Latin America Medical Image Analytics Market, 2016-2025 ($Million)
  • 104 Latin America Medical Image Analytics Market by Country, 2016-2025 ($Million)
  • 105 Brazil Medical Image Analytics Market, 2016-2025 ($Million)
  • 106 Mexico Medical Image Analytics Market, 2016-2025 ($Million)
  • 107 Rest of Latin America Medical Image Analytics Market, 2016-2025 ($Million)
  • 108 Rest of World Medical Image Analytics Market, 2016-2025 ($Million)
  • 109 Rest of World Medical Image Analytics Market by Country, 2016-2025 ($Million)
  • 110 Kingdom of Saudi Arabia (KSA) Medical Image Analytics Market, 2016-2025 ($Million)
  • 111 United Arab Emirates (UAE) Medical Image Analytics Market, 2016-2025 ($Million)
  • 112 Israel Medical Image Analytics Market, 2016-2025 ($Million)
  • 113 South Africa Medical Image Analytics Market, 2016-2025 ($Million)
  • 114 Qatar Medical Image Analytics Market, 2016-2025 ($Million)
  • 115 Rest of RoW Medical Image Analytics Market, 2016-2025 ($Million)
  • 116 Agfa-Gevaert Product Mapping
  • 117 Agfa-Gevaert Group : Overall Financials (2014 - 2016)
  • 118 Agfa-Gevaert Group : Net Revenues by Business Segments (2014 - 2016)
  • 119 Agfa-Gevaert Group : Net Revenue by Geography (2014-2016)
  • 120 Agfa Gevaert SWOT Analysis
  • 121 Arterys Product Portfolio
  • 122 Arterys SWOT Analysis
  • 123 Aquilab Product Mapping
  • 124 Aquilab SWOT Analysis
  • 125 Carestream Health Product Mapping
  • 126 Carestream Health SWOT Analysis
  • 127 Dental Sirona Inc. Product Mapping
  • 128 Dentsply Sirona Inc. Overall Financials (2014 - 2016)
  • 129 Dentsply Sirona Inc. : Net Revenues by Business Segments (2014 - 2016)
  • 130 Dentsply Sirona Inc. : Net Revenues by Region (2014 - 2016)
  • 131 Dentsply Sirona SWOT Analysis
  • 132 Esaote Product Mapping
  • 133 Esaote SWOT Analysis
  • 134 General Electric Products Mapping
  • 135 GE : Overall Financials (2014-2016)
  • 136 GE : Net Revenue by Business Segment (2014-2016)
  • 137 GE : Net Revenue by Business Sub-Segment (2016)
  • 138 GE : Net Revenue by Region (2014-2016)
  • 139 Figure: GE Healthcare SWOT Analysis
  • 140 Hologic Inc. Product Mapping
  • 141 Hologic: Overall Financials (2014-2016)
  • 142 Hologic: Net Revenue by Business Segment (2014-2016)
  • 143 Hologic: Net Revenue by Region (2014-2016)
  • 144 Hologic Inc. SWOT Analysis
  • 145 Infinitt Healthcare Products Mapping
  • 146 Infinitt Healthcare SWOT Analysis
  • 147 Roper Technologhies Producty Mapping
  • 148 Roper Technologies: Overall Financials (2014-2016)
  • 149 Roper Technologies: Net Revenue by Business Segment (2014-2016)
  • 150 Roper Technologies: Net Revenue by Region (2014-2016)
  • 151 Roper Technologies SWOT Analysis
  • 152 IBM Corporation Product Mapping
  • 153 IBM: Overall Financials (2014-2015)
  • 154 IBM: Net Revenue by Business Segment (2015-2016)
  • 155 IBM Corp.: Net Revenue by Business Segment (2014)
  • 156 IBM Corp.: Net Revenue by Region (2014-2016)
  • 157 Merge Healthcare SWOT Analysis
  • 159 MIM Software Inc. Product Mapping
  • 160 MIM Software Inc. SWOT Analysis
  • 161 Neusoft Corporation Product Mapping
  • 162 Neusoft Corporation: Overall Financials (2014-2016)
  • 163 Neusoft Corporation SWOT Analysis
  • 164 Philips Group Product Mapping
  • 165 Royal Philips: Overall Financial Performance (2014-2016)
  • 166 Philips Group: Net Revenue by Business Segment (2015-2016)
  • 167 Royal Philips: Net Revenue by Geography (2014-2016)
  • 168 Philips Group: Diagnostics & Treatment Sub-Segment% (2016)
  • 169 Royal Philips SWOT Analysis
  • 170 Siemens Product Mapping
  • 171 Siemens: Overall Financials (2014-2016)
  • 172 Siemens: Net Revenue by Region (2014-2016)
  • 173 Siemens: Net Revenue by Business Segment (2014-2016)
  • 174 Siemens SWOT Analysis
  • 175 Canon Inc. Product Mapping
  • 176 Canon Inc.: Overall Financials (2014-2016)
  • 177 Canon Inc.: Net Revenue by Business Segment (2014-2016)
  • 178 Canon Inc.: Net Revenue by Region (2014-2016)
  • 179 Toshiba Medical Systems Corporation SWOT Analysis
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