세계의 의료 영상용 AI 시장 : 모달리티별, 기술별, 용도별, 산업별 기회 분석 및 산업 예측(2023-2032년)

AI in Medical Imaging Market By Modality, By Technology (Deep Learning, Natural Language Processing, Computer Vision, Others), By Application, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2023-2032

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한글목차

의료 영상용 AI(AI in Medical Imaging) 시장 규모는 2022년에 18억 9,112만 달러로 평가였으며, 2023년부터 2032년까지의 CAGR은 32.1%로 성장을 지속하고, 2032년에는 297억 5,483만 달러에 달할 것으로 예측됩니다.

의료 영상용 AI 시장은 인공지능과 의료 진단의 파괴적인 접합을 제공하고 의료 영상 진단의 실천에 혁명을 가져올 것으로 예상됩니다. 이 급성장하는 산업은 최신 AI 알고리즘을 X선, CT, MRI, 초음파 등 기존 의료 영상 촬영 방식과 원활하게 통합하여 의료 진단 및 환자 치료 결과를 전례 없는 수준으로 끌어올리고자 합니다. AI 기반 의료 영상 솔루션은 이미지 분석, 질병 진단, 사진 재구성, 세분화, 워크플로 최적화 등 다양한 애플리케이션을 지원합니다.

본 보고서의 조사 범위에서는 주요 기업이 의료 영상용 AI 시장에 진입하는 잠재적인 기회에 대해 논의하고 있습니다. 또한 시장의 상세한 분석을 실시하여 현재의 동향, 주요 촉진 요인, 주요 투자 분야를 요약하여 시장에 대한 심층 분석을 제공합니다. 보고서에는 산업 경쟁 시나리오와 밸류체인에서 각 이해관계자의 역할을 이해하기 위한 Porter's Five Forces 분석이 포함되어 있습니다. 또한 주요 시장 기업이 시장에서 입지를 유지하기 위해 채택한 전략이 특징입니다.

목차

제1장 서론

제2장 주요 요약

제3장 시장 개요

• 시장 정의 및 범위
• 주요 조사 결과
  • 영향 요인
  • 주요 투자 기회
• Porter's Five Forces 분석
• 시장 역학
  • 성장 촉진 요인
    • 방사선학에서의 AI 이용 증가
    • AI 탑재 CT에 대한 수요 증가
  • 억제 요인
    • 의료 영상 진단에서 AI의 비용 상승
  • 기회
    • AI 기업에 의한 제품 승인 획득 및 자금 조달 증가

제4장 의료 영상용 AI 시장 : 모달리티별

• 개요
• CT 스캔
• MRI
• X선
• 초음파 이미징
• 분자 이미징

제5장 의료 영상용 AI 시장 : 기술별

• 개요
• 딥러닝
• 자연언어처리(NLP)
• 컴퓨터 비전
• 기타

제6장 의료 영상용 AI 시장 : 용도별

• 개요
• 유방 이미징
• 호흡기·폐
• 신경
• 정형외과
• 기타

제7장 의료 영상용 AI 시장 : 산업별

• 개요
• 병원·의료 제공자
• 환자
• 제약·생명공학 기업
• 헬스케어 페이어
• 기타

제8장 의료 영상용 AI 시장 : 지역별

• 개요
• 북미
  • 미국
  • 캐나다
• 유럽
  • 프랑스
  • 독일
  • 이탈리아
  • 스페인
  • 영국
  • 기타
• 아시아 태평양
  • 중국
  • 일본
  • 인도
  • 한국
  • 호주
  • 기타
• 남미
  • 남미
  • 중동
  • 아프리카

제9장 경쟁 구도

• 소개
• 주요 성공 전략
• 주요 10개사의 제품 매핑
• 경쟁 대시보드
• 경쟁 히트맵
• 주요 기업의 포지셔닝(2022년)

제10장 기업 개요

• Siemens
• NVIDIA Corporation
• IBM Corporation
• GE Healthcare
• Koninklijke Philips NV
• Aidoc
• Butterfly Network, Inc.
• Zebra Technologies Corp.
• Arterys Inc.
• ICAD INC.

LYJ

영문 목차

영문목차

The AI in medical imaging market size was valued at $1,891.12 million in 2022, and is projected to reach $29,754.83 million by 2032, registering a CAGR of 32.1% from 2023 to 2032.

The artificial intelligence in medical imaging market provides a disruptive junction of artificial intelligence and healthcare diagnostics that is set to revolutionize medical imaging practices. This booming industry aspires to take healthcare diagnostics and patient outcomes to unprecedented heights by seamlessly integrating modern AI algorithms with existing medical imaging modalities such as X-ray, CT, MRI, and ultrasound. AI-powered medical imaging solutions cover a wide variety of applications, such as image analysis, illness diagnosis, picture reconstruction, segmentation, and workflow optimization.

The scope of the report discusses the potential opportunities for the key players to enter the AI in medical imaging market. Furthermore, it provides an in-depth analysis of the market, outlining current trends, key driving factors, and key areas of investment. The report includes Porter's five forces analysis to understand the competitive scenario of the industry and role of each stakeholder in the value chain. Moreover, it features the strategies adopted by key market players to maintain their foothold in the market.

The AI in medical imaging market is segmented on the basis of modality, technology, application, industry vertical and region. On the basis of modality, it is classified into CT Scan, MRI, X-rays, Ultrasound Imaging and Molecular Imaging. On the basis of technology, it is classified into Deep Learning, Natural Language Processing (NLP), Computer Vision, and others. On the basis of application, it is classified into Breast Imaging, Respiratory and Pulmonary, Neurology, Orthopedics, and others. On the basis of industry vertical, it is classified into Hospital and Healthcare Providers, Patients, Pharmaceuticals and Biotechnology Companies, Healthcare Payers, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Several factors are driving the AI in medical imaging market, with one of them being the increasing use of AI in radiology. AI's capacity to quickly and accurately analyze medical pictures has improved diagnostic capabilities and shortened procedures. AI-assisted image interpretation benefits radiologists by assisting in the detection of minor anomalies, early illness diagnosis, and personalized therapy planning. This has led to better patient outcomes, a reduction in diagnostic blunders, and optimal resource use. Another driving factor is the rise in demand for AI-powered CT. A tremendous increase in demand for AI-powered Computed Tomography (CT) has been seen in recent years, driven by the technology's revolutionary effects on diagnostics and healthcare. Radiologists and physicians are now able to spot minor irregularities, complex tissue structures, and possible problems that could have gone unnoticed using conventional techniques thanks to AI algorithms that analyze CT images with unmatched speed and precision.

On the other hand, the rise in costs is hampering the market. The market for AI in medical imaging has been significantly constrained by the rising cost of implementation. While AI has shown incredible promise in improving patient care, treatment planning, and diagnostic accuracy, its adoption comes with a hefty price tag that presents difficulties for healthcare organizations and providers.

Key Benefits For Stakeholders

• This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in medical imaging market analysis from 2022 to 2032 to identify the prevailing ai in medical imaging market opportunities.
• The market research is offered along with information related to key drivers, restraints, and opportunities.
• Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
• In-depth analysis of the ai in medical imaging market segmentation assists to determine the prevailing market opportunities.
• Major countries in each region are mapped according to their revenue contribution to the global market.
• Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
• The report includes the analysis of the regional as well as global ai in medical imaging market trends, key players, market segments, application areas, and market growth strategies.
• The key players operating in the AI in medical imaging market are Siemens, NVIDIA Corporation, IBM Corporation, GE Healthcare, Koninklijke Philips N.V., Aidoc, Butterfly Network, Inc., Zebra Technologies Corp., Arterys Inc., and ICAD Inc. These key players adopt several strategies such as new product launch and development, acquisition, partnership and collaboration and business expansion to increase their market share in the global AI in medical imaging market during the forecast period.

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)

• Investment Opportunities
• Product Life Cycles
• Go To Market Strategy
• Pain Point Analysis
• Regulatory Guidelines
• Criss-cross segment analysis- market size and forecast
• Historic market data

Key Market Segments

By Modality

• CT Scan
• MRI
• X-rays
• Ultrasound Imaging
• Molecular Imaging

By Technology

• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Others

By Application

• Breast Imaging
• Respiratory and Pulmonary
• Neurology
• Orthopedics
• Others

By Industry Vertical

• Hospital and Healthcare Providers
• Patients
• Pharmaceuticals and Biotechnology Companies
• Healthcare Payers
• Others

By Region

• North America
  • U.S.
  • Canada
• Europe
  • France
  • Germany
  • Italy
  • Spain
  • UK
  • Rest of Europe
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia-Pacific
• LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players:

• Koninklijke Philips N.V.
• Siemens
• NVIDIA Corporation
• GE Healthcare
• ICAD INC.
• Aidoc
• Butterfly Network, Inc.
• IBM Corporation
• Zebra Technologies Corp.
• Arterys Inc.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

• 1.1. Report description
• 1.2. Key market segments
• 1.3. Key benefits to the stakeholders
• 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 OVERVIEW

• 3.1. Market definition and scope
• 3.2. Key findings
  • 3.2.1. Top impacting factors
  • 3.2.2. Top investment pockets
• 3.3. Porter's five forces analysis
  • 3.3.1. Moderate bargaining power of suppliers
  • 3.3.2. Moderate threat of new entrants
  • 3.3.3. Moderate threat of substitutes
  • 3.3.4. Moderate intensity of rivalry
  • 3.3.5. Moderate bargaining power of buyers
• 3.4. Market dynamics
  • 3.4.1. Drivers
    • 3.4.1.1. Increase in use of AI in Radiology
    • 3.4.1.2. Rise in demand for AI-powered CT
  • 3.4.2. Restraints
    • 3.4.2.1. Rise in costs of AI in Medical Imaging
  • 3.4.3. Opportunities
    • 3.4.3.1. Gain in product approvals and more funding from AI companies

CHAPTER 4: AI IN MEDICAL IMAGING MARKET, BY MODALITY

• 4.1. Overview
  • 4.1.1. Market size and forecast
• 4.2. CT Scan
  • 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. MRI
  • 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. X-rays
  • 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. Ultrasound Imaging
  • 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. Molecular Imaging
  • 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 IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

• 5.1. Overview
  • 5.1.1. Market size and forecast
• 5.2. Deep Learning
  • 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. Natural Language Processing (NLP)
  • 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
• 5.4. Computer Vision
  • 5.4.1. Key market trends, growth factors and opportunities
  • 5.4.2. Market size and forecast, by region
  • 5.4.3. Market share analysis by country
• 5.5. Others
  • 5.5.1. Key market trends, growth factors and opportunities
  • 5.5.2. Market size and forecast, by region
  • 5.5.3. Market share analysis by country

CHAPTER 6: AI IN MEDICAL IMAGING MARKET, BY APPLICATION

• 6.1. Overview
  • 6.1.1. Market size and forecast
• 6.2. Breast Imaging
  • 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. Respiratory and Pulmonary
  • 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. Neurology
  • 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. Orthopedics
  • 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
• 6.6. Others
  • 6.6.1. Key market trends, growth factors and opportunities
  • 6.6.2. Market size and forecast, by region
  • 6.6.3. Market share analysis by country

CHAPTER 7: AI IN MEDICAL IMAGING MARKET, BY INDUSTRY VERTICAL

• 7.1. Overview
  • 7.1.1. Market size and forecast
• 7.2. Hospital and Healthcare Providers
  • 7.2.1. Key market trends, growth factors and opportunities
  • 7.2.2. Market size and forecast, by region
  • 7.2.3. Market share analysis by country
• 7.3. Patients
  • 7.3.1. Key market trends, growth factors and opportunities
  • 7.3.2. Market size and forecast, by region
  • 7.3.3. Market share analysis by country
• 7.4. Pharmaceuticals and Biotechnology Companies
  • 7.4.1. Key market trends, growth factors and opportunities
  • 7.4.2. Market size and forecast, by region
  • 7.4.3. Market share analysis by country
• 7.5. Healthcare Payers
  • 7.5.1. Key market trends, growth factors and opportunities
  • 7.5.2. Market size and forecast, by region
  • 7.5.3. Market share analysis by country
• 7.6. Others
  • 7.6.1. Key market trends, growth factors and opportunities
  • 7.6.2. Market size and forecast, by region
  • 7.6.3. Market share analysis by country

CHAPTER 8: AI IN MEDICAL IMAGING MARKET, BY REGION

• 8.1. Overview
  • 8.1.1. Market size and forecast By Region
• 8.2. North America
  • 8.2.1. Key market trends, growth factors and opportunities
  • 8.2.2. Market size and forecast, by Modality
  • 8.2.3. Market size and forecast, by Technology
  • 8.2.4. Market size and forecast, by Application
  • 8.2.5. Market size and forecast, by Industry Vertical
  • 8.2.6. Market size and forecast, by country
    • 8.2.6.1. U.S.
    • 8.2.6.1.1. Market size and forecast, by Modality
    • 8.2.6.1.2. Market size and forecast, by Technology
    • 8.2.6.1.3. Market size and forecast, by Application
    • 8.2.6.1.4. Market size and forecast, by Industry Vertical
    • 8.2.6.2. Canada
    • 8.2.6.2.1. Market size and forecast, by Modality
    • 8.2.6.2.2. Market size and forecast, by Technology
    • 8.2.6.2.3. Market size and forecast, by Application
    • 8.2.6.2.4. Market size and forecast, by Industry Vertical
• 8.3. Europe
  • 8.3.1. Key market trends, growth factors and opportunities
  • 8.3.2. Market size and forecast, by Modality
  • 8.3.3. Market size and forecast, by Technology
  • 8.3.4. Market size and forecast, by Application
  • 8.3.5. Market size and forecast, by Industry Vertical
  • 8.3.6. Market size and forecast, by country
    • 8.3.6.1. France
    • 8.3.6.1.1. Market size and forecast, by Modality
    • 8.3.6.1.2. Market size and forecast, by Technology
    • 8.3.6.1.3. Market size and forecast, by Application
    • 8.3.6.1.4. Market size and forecast, by Industry Vertical
    • 8.3.6.2. Germany
    • 8.3.6.2.1. Market size and forecast, by Modality
    • 8.3.6.2.2. Market size and forecast, by Technology
    • 8.3.6.2.3. Market size and forecast, by Application
    • 8.3.6.2.4. Market size and forecast, by Industry Vertical
    • 8.3.6.3. Italy
    • 8.3.6.3.1. Market size and forecast, by Modality
    • 8.3.6.3.2. Market size and forecast, by Technology
    • 8.3.6.3.3. Market size and forecast, by Application
    • 8.3.6.3.4. Market size and forecast, by Industry Vertical
    • 8.3.6.4. Spain
    • 8.3.6.4.1. Market size and forecast, by Modality
    • 8.3.6.4.2. Market size and forecast, by Technology
    • 8.3.6.4.3. Market size and forecast, by Application
    • 8.3.6.4.4. Market size and forecast, by Industry Vertical
    • 8.3.6.5. UK
    • 8.3.6.5.1. Market size and forecast, by Modality
    • 8.3.6.5.2. Market size and forecast, by Technology
    • 8.3.6.5.3. Market size and forecast, by Application
    • 8.3.6.5.4. Market size and forecast, by Industry Vertical
    • 8.3.6.6. Rest of Europe
    • 8.3.6.6.1. Market size and forecast, by Modality
    • 8.3.6.6.2. Market size and forecast, by Technology
    • 8.3.6.6.3. Market size and forecast, by Application
    • 8.3.6.6.4. Market size and forecast, by Industry Vertical
• 8.4. Asia-Pacific
  • 8.4.1. Key market trends, growth factors and opportunities
  • 8.4.2. Market size and forecast, by Modality
  • 8.4.3. Market size and forecast, by Technology
  • 8.4.4. Market size and forecast, by Application
  • 8.4.5. Market size and forecast, by Industry Vertical
  • 8.4.6. Market size and forecast, by country
    • 8.4.6.1. China
    • 8.4.6.1.1. Market size and forecast, by Modality
    • 8.4.6.1.2. Market size and forecast, by Technology
    • 8.4.6.1.3. Market size and forecast, by Application
    • 8.4.6.1.4. Market size and forecast, by Industry Vertical
    • 8.4.6.2. Japan
    • 8.4.6.2.1. Market size and forecast, by Modality
    • 8.4.6.2.2. Market size and forecast, by Technology
    • 8.4.6.2.3. Market size and forecast, by Application
    • 8.4.6.2.4. Market size and forecast, by Industry Vertical
    • 8.4.6.3. India
    • 8.4.6.3.1. Market size and forecast, by Modality
    • 8.4.6.3.2. Market size and forecast, by Technology
    • 8.4.6.3.3. Market size and forecast, by Application
    • 8.4.6.3.4. Market size and forecast, by Industry Vertical
    • 8.4.6.4. South Korea
    • 8.4.6.4.1. Market size and forecast, by Modality
    • 8.4.6.4.2. Market size and forecast, by Technology
    • 8.4.6.4.3. Market size and forecast, by Application
    • 8.4.6.4.4. Market size and forecast, by Industry Vertical
    • 8.4.6.5. Australia
    • 8.4.6.5.1. Market size and forecast, by Modality
    • 8.4.6.5.2. Market size and forecast, by Technology
    • 8.4.6.5.3. Market size and forecast, by Application
    • 8.4.6.5.4. Market size and forecast, by Industry Vertical
    • 8.4.6.6. Rest of Asia-Pacific
    • 8.4.6.6.1. Market size and forecast, by Modality
    • 8.4.6.6.2. Market size and forecast, by Technology
    • 8.4.6.6.3. Market size and forecast, by Application
    • 8.4.6.6.4. Market size and forecast, by Industry Vertical
• 8.5. LAMEA
  • 8.5.1. Key market trends, growth factors and opportunities
  • 8.5.2. Market size and forecast, by Modality
  • 8.5.3. Market size and forecast, by Technology
  • 8.5.4. Market size and forecast, by Application
  • 8.5.5. Market size and forecast, by Industry Vertical
  • 8.5.6. Market size and forecast, by country
    • 8.5.6.1. Latin America
    • 8.5.6.1.1. Market size and forecast, by Modality
    • 8.5.6.1.2. Market size and forecast, by Technology
    • 8.5.6.1.3. Market size and forecast, by Application
    • 8.5.6.1.4. Market size and forecast, by Industry Vertical
    • 8.5.6.2. Middle East
    • 8.5.6.2.1. Market size and forecast, by Modality
    • 8.5.6.2.2. Market size and forecast, by Technology
    • 8.5.6.2.3. Market size and forecast, by Application
    • 8.5.6.2.4. Market size and forecast, by Industry Vertical
    • 8.5.6.3. Africa
    • 8.5.6.3.1. Market size and forecast, by Modality
    • 8.5.6.3.2. Market size and forecast, by Technology
    • 8.5.6.3.3. Market size and forecast, by Application
    • 8.5.6.3.4. Market size and forecast, by Industry Vertical

CHAPTER 9: COMPETITIVE LANDSCAPE

• 9.1. Introduction
• 9.2. Top winning strategies
• 9.3. Product mapping of top 10 player
• 9.4. Competitive dashboard
• 9.5. Competitive heatmap
• 9.6. Top player positioning, 2022

CHAPTER 10: COMPANY PROFILES

• 10.1. Siemens
  • 10.1.1. Company overview
  • 10.1.2. Key executives
  • 10.1.3. Company snapshot
  • 10.1.4. Operating business segments
  • 10.1.5. Product portfolio
  • 10.1.6. Business performance
  • 10.1.7. Key strategic moves and developments
• 10.2. NVIDIA Corporation
  • 10.2.1. Company overview
  • 10.2.2. Key executives
  • 10.2.3. Company snapshot
  • 10.2.4. Operating business segments
  • 10.2.5. Product portfolio
  • 10.2.6. Business performance
  • 10.2.7. Key strategic moves and developments
• 10.3. IBM Corporation
  • 10.3.1. Company overview
  • 10.3.2. Key executives
  • 10.3.3. Company snapshot
  • 10.3.4. Operating business segments
  • 10.3.5. Product portfolio
  • 10.3.6. Business performance
  • 10.3.7. Key strategic moves and developments
• 10.4. GE Healthcare
  • 10.4.1. Company overview
  • 10.4.2. Key executives
  • 10.4.3. Company snapshot
  • 10.4.4. Operating business segments
  • 10.4.5. Product portfolio
  • 10.4.6. Business performance
  • 10.4.7. Key strategic moves and developments
• 10.5. Koninklijke Philips N.V.
  • 10.5.1. Company overview
  • 10.5.2. Key executives
  • 10.5.3. Company snapshot
  • 10.5.4. Operating business segments
  • 10.5.5. Product portfolio
  • 10.5.6. Business performance
  • 10.5.7. Key strategic moves and developments
• 10.6. Aidoc
  • 10.6.1. Company overview
  • 10.6.2. Key executives
  • 10.6.3. Company snapshot
  • 10.6.4. Operating business segments
  • 10.6.5. Product portfolio
  • 10.6.6. Key strategic moves and developments
• 10.7. Butterfly Network, Inc.
  • 10.7.1. Company overview
  • 10.7.2. Key executives
  • 10.7.3. Company snapshot
  • 10.7.4. Operating business segments
  • 10.7.5. Product portfolio
  • 10.7.6. Business performance
  • 10.7.7. Key strategic moves and developments
• 10.8. Zebra Technologies Corp.
  • 10.8.1. Company overview
  • 10.8.2. Key executives
  • 10.8.3. Company snapshot
  • 10.8.4. Operating business segments
  • 10.8.5. Product portfolio
  • 10.8.6. Business performance
• 10.9. Arterys Inc.
  • 10.9.1. Company overview
  • 10.9.2. Key executives
  • 10.9.3. Company snapshot
  • 10.9.4. Operating business segments
  • 10.9.5. Product portfolio
  • 10.9.6. Key strategic moves and developments
• 10.10. ICAD INC.
  • 10.10.1. Company overview
  • 10.10.2. Key executives
  • 10.10.3. Company snapshot
  • 10.10.4. Operating business segments
  • 10.10.5. Product portfolio
  • 10.10.6. Business performance
  • 10.10.7. Key strategic moves and developments

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