DUBLIN, Dec. 16, 2020 /PRNewswire/ — The “Deep Learning Market: Focus on Medical Image Processing, 2020-2030” report has been added to ResearchAndMarkets.com’s providing.
The ‘Deep Studying Market: Give attention to Medical Picture Processing, 2020-2030’ report options an in depth examine on the present market panorama providing an knowledgeable opinion on the possible adoption of such options over the subsequent decade. The examine presents an in-depth evaluation, highlighting the capabilities of varied stakeholders engaged on this area.
One of many key targets of this report was to estimate the prevailing market measurement and the longer term development potential throughout the deep studying market (medical picture processing phase), resembling world radiology spending throughout nations, variety of radiologists employed throughout totally different areas of globe, annual wage of radiologists, fee of adoption of deep learning-based options, now we have developed knowledgeable estimates on the monetary evolution of the market, over the interval 2020-2030.
Furthermore, a number of technology-focused innovators, resembling (in alphabetical order) IBM, GE Healthcare and Google, have entered into strategic alliances with large pharma gamers, with the intention to carry proprietary deep learning-based medical options to the market. This upcoming phase of the pharmaceutical trade that exists on the interface between medication and knowledge know-how, has garnered the eye of distinguished enterprise capital companies and strategic traders. In the long run, the market is anticipated witness vital development as extra machine studying primarily based options are permitted to be used.
Scope of the Report
An in depth evaluation of the present market panorama of deep studying options for medical picture processing, together with info on their standing of improvement (launched/below improvement), regulatory approvals (FDA, CE mark, others), kind of providing (diagnostic software program/device, diagnostic software program/device + machine), kind of picture processed (X-ray, MRI, CT, ultrasound), utility space (lung infections/respiratory problems, mind accidents/problems, lung most cancers, cardiac situations/cardiovascular problems, bone deformities/orthopedic problems, breast most cancers and others).
As well as, it presents particulars of firms creating such options, resembling their 12 months of firm, firm measurement, location of headquarters and focus space (when it comes to kind of deployment mannequin). Additional, it highlights key options of every resolution and affiliated applied sciences.
An in-depth evaluation of the up to date market traits, offered utilizing three schematic representations, together with [A] a grid illustration illustrating the distribution of options primarily based on utility space, kind of picture processed and sort of providing and [B] an insightful map illustration highlighting the geographical exercise of the gamers.
Elaborate profiles of key gamers which might be engaged within the improvement of deep learning-based options meant for processing of medical photographs. Every firm profile contains a temporary overview of the corporate (together with info on 12 months of firm, variety of staff, location of headquarters and key members of the manager group), particulars of their respective portfolio of options, current developments and an knowledgeable future outlook.
Key Questions Answered
- Who’re the main builders of deep learning-based options for medical picture processing?
- What are the important thing utility areas for deep studying options designed for processing of medical photographs, resembling X-Ray, ultrasound, CT, MRI and others?
- What number of options primarily based on deep studying know-how for processing of medical photographs have been cleared by FDA or have obtained CE marking?
- What’s the affect of COVID-19 on the demand for deep studying options designed for processing of medical photographs?
- What’s the possible valuation/internet value of firms concerned on this phase?
- What’s the possible value saving potential related to the usage of deep learning-based options for processing of medical photographs?
- How is the present and future alternative prone to be distributed throughout key market segments?
- What’s the potential usability of deep learning-based medical picture processing options for lung scanning in COVID-19 sufferers?
- Which partnership fashions are generally adopted by stakeholders on this trade?
- What’s the general pattern of funding and investments on this area?
- What are the opinions of key opinion leaders concerned within the deep studying area?
Key Matters Coated:
1. PREFACE
1.1. Scope of the Report
1.2. Analysis Methodology
1.3. Chapter Outlines
2. EXECUTIVE SUMMARY
3. INTRODUCTION
3.1. People, Machines and Intelligence
3.2. The Science of Studying
3.3. Synthetic Intelligence
3.4. The Huge Information Revolution
3.5. Functions of Deep Studying in Healthcare
4. CASE STUDY: IBM WATSON VERSUS GOOGLE DEEPMIND
4.1. Chapter Overview
4.2. Worldwide Enterprise Machines (IBM)
4.3. Google
4.4. IBM versus Google: Synthetic Intelligence-related Acquisitions
4.5. IBM versus Google: Healthcare Targeted Partnerships and Collaborations
4.6. IBM versus Google: Main Considerations and Future Outlook
5. MARKET OVERVIEW
5.1. Chapter Overview
5.2. Deep Studying in Medical Picture Processing: General Market Panorama
5.3. Deep Studying in Medical Picture Processing: Info on Key Traits
5.4. Deep Studying in Medical Picture Processing: Checklist of Firms
6. COMPANY PROFILES
6.1. Chapter Overview
6.2. Artelus
6.3. Arterys
6.4. Butterfly Community
6.5. ContextVision
6.6. Enlitic
6.7. Echonous
6.8. GE Healthcare
6.9. InferVision
6.10. VUNO
7. PARTNERSHIPS AND COLLABORATIONS
7.1. Chapter Overview
7.2. Partnership Fashions
7.3. Deep Studying in Medical Picture Processing: Checklist of Partnerships and Collaborations
7.4. Concluding Remarks
8. FUNDING AND INVESTMENT ANALYSIS
8.1. Chapter Overview
8.2. Forms of Funding
8.3. Deep Studying in Medical Picture Processing: Latest Funding Situations
9. COMPANY VALUATION ANALYSIS
9.1. Chapter Overview
9.2. Methodology
9.3. Categorization by Parameters
10. CASE STUDY: ANALYSIS OF DEEP LEARNING-BASED CLINICAL TRIALS REGISTERED IN THE US
10.1. Chapter Overview
10.2. Scope and Methodology
10.3 Medical Trial Evaluation
11. PATENT ANALYSIS
11.1. Chapter Overview
11.2. Scope and Methodology
11.3. Deep Studying and Medical Picture Processing: Patent Evaluation
11.4. Patent Valuation Evaluation
12. COST SAVING ANALYSIS
12.1. Chapter Overview
12.2. Key Assumptions and Methodology
12.3. General Value Saving Potential of Deep Studying in Medical Picture Processing Options, 2020-2030
12.4. X-Ray Pictures
12.5. MRI Pictures
12.6. CT Pictures
12.7. Ultrasound Pictures
12.8. Concluding Remarks: Value Saving Situations
13. MARKET FORECAST
13.1. Chapter Overview
13.2 Forecast Methodology and Key Assumptions
13.3 General Deep Studying in Medical Picture Processing Market
13.3 Deep Studying in Medical Picture Processing Market: Distribution by Utility Space
13.4 Deep Studying in Medical Picture Processing Market: Distribution by Kind of Picture Processed
13.5 Deep Studying in Medical Picture Processing Market: Distribution by Key Geographical Areas
13.6 Concluding Remarks
14. DEEP LEARNING IN HEALTHCARE: EXPERT INSIGHTS
14.1. Chapter Overview
14.2. Business Consultants
14.3. College and Hospital Consultants
14.4. Different Professional Opinions
15. INTERVIEW TRANSCRIPTS
15.1 Chapter Overview
15.2. Advenio Technosys
15.3. Arterys
15.4. Arya.ai
15.5. AlgoSurg
15.6. ContextVision
16. IMPACT OF COVID-19 OUTBREAK ON DEEP LEARNING MARKET DYNAMICS
16.1. Chapter Overview
16.2. Analysis of Affect of COVID-19 Pandemic
16.3. Response Methods: A Perspective
17. CONCLUSION
18. APPENDIX 1: TABULATED DATA
Firms Talked about
- 8VC
- Accel
- Acequia Capital
- Advantech Capital
- Advenio Technosys
- Aetion
- Affidea
- Agfa HealthCare
- AiCure
- Aidence
- Aidoc
- Alberta Innovates
- AlbionVC
- AlchemyAPI
- Alder Hey Kids’s Hospital
- AlgoMedica
- AlgoSurg
- Allen Institute for AI
- ALMatter
- Almaworks
- Amazon Net Providers
- AME Cloud Ventures
- AME Cloud Ventures
- American Most cancers Society
- American Diabetes Affiliation
- American Coronary heart Affiliation
- American Sleep Apnea Affiliation
- aMoon
- Amplify Companions
- Analytics Ventures
- Anand Diagnostic Laboratory
- Anthem
- Antwerp College Hospital (UZA)
- Apollo Hospitals
- Apple
- Apposite Capital
- Artelus
- Arterys
- Arya.ai
- Asan Medical Heart
- Asset Administration Ventures
- AT&T Labs
- Atomico
- Atrium Well being
- Aurum
- Avicenna
- Axilor Ventures
- Ayce Capital
- AZ Maria Middelares
- Baidu.ventures
- Baillie Gifford
- Bar-llan College
- Behold.ai
- Beijing Dongfang Hongtai Know-how
- Beijing Hao Yun Dao Info & Know-how (Paiyipai)
- BenevolentAI
- Benslie Funding Group
- BI INVESTMENTS
- Invoice & Melinda Gates Basis
- BinomixRay
- Bioinfogate
- Biotechnology Business Analysis Help Council (BIRAC)
- Blackford Evaluation
- BlueCross BlueShield Enterprise
- Boca Raton Regional Hospital
- Boehringer Ingelheim
- Boehringer Ingelheim
- Daring Mind Ventures
- Daring Capital Companions
- Bolton NHS Basis Belief
- Boston Kids’s Hospital
- Brainomix
- Bridge Financial institution
- Bridge to Well being USA
- Buckinghamshire Healthcare NHS Belief
- Enterprise Growth Financial institution of Canada (BDC)
- Butterfly Community
- Cadens Medical Imaging
- Campus Bio-Medico College Hospital
- Canon Medical Techniques
- Capital Well being
- Capitol Well being
- Capricorn Companions
- Caption Well being
- Carestream Well being
- CDH Investments
- Cedars-Sinai
- Cemag Make investments
- Cenkos Securities
- Centre for Superior Analysis in Imaging
- ChainZ Medical Know-how
- Change Healthcare
- Chimera Companions
- Chiratae Ventures
- Chiratae Ventures (Previously IDG Ventures)
- Clalit Analysis Institute
- Cleveland Clinic
- Intelligent Sense
- Cloud DX
- Co-Diagnostics
- Cognea
- Join Ventures
- Connecticut Improvements
- ContextVision
- CorTechs Labs
- Cota Capital
- Crouse Well being
- CRV (acquired by Microsoft)
- Ctrip
- CuraCloud
- CureMetrix
- Danhua Capital (DHVC)
- Daotong Capital
- Darkish Blue Labs
- Dartford and Gravesham NHS Belief
- Dartmouth School
- Information Collective
- Information Collective (DCVC)
- Dataminr
- Deep Genomics
- DeepMind
- DeepTek
- Deepwise
- DEFTA Companions
- Dell
- DePuy Synthes
- DiA Imaging Evaluation
- DigitalOcean
- DNA Capital
- DNNresearch
- doc.ai
- DocPanel
- Dolby Household Ventures
- Dong Kook Lifescience
- Dr. Susan Love Basis for Breast Most cancers Analysis
- Dubai Diabetes Heart
- Duke College
- East Seattle Companions
- EBSCO
- EchoNous
- Edan Devices
- Edwards Lifesciences
- eInfochips
- Elekta
- Emergent Join
- Emergent Medical Companions
- Emu Know-how
- Endiya Companions
- Enlitic
- Erlanger Well being System
- European Fee
- Exigent Capital Group
- Exilant Applied sciences
- Exor
- Explorys, an IBM Firm
- Fang Danhua Capital
- quick.ai
- FbStart
- FemtoDx
- Fertility Highway
- ff Enterprise Capital
- Fidelis Care
- Constancy Investments
- FIDI (Imaging Diagnostic Analysis Institute Basis)
- Forestay Capital
- Forge
- Formation 8
- Fosun RZ Capital
- Founder Pleasant Labs (FFL)
- Fractal Analytics
- Frazier Healthcare Companions
- Froedtert & the Medical School of Wisconsin Most cancers Community
- Frost Information Capital
- Fujifilm Medical Techniques USA
- FUJIFILM Sonosite
- Fujita Well being College
- Future Play Inexperienced Cross Holdings
- Fysicon
- Gachon College Gil Medical Heart
- GE Healthcare
- GE Ventures
- Genentech
- gener8tor
- Normal Metropolis Hospital, Aalst
- Genesis Capital Advisors
- Georges Harik
- GF Securities
- Google Ventures
- Authorities of Canada
- Granata Determination Techniques (acquired by Google)
- Inexperienced Home Ventures (GHV) Accelerator
- Greenbox Enterprise Companions
- Greenoaks Capital
- Greycroft
- Guerbet
- Haitong Main Capital Administration
- Halli Labs
- HALO Diagnostics
- Hanfor Capital Administration
- Hangzhou CognitiveCare
- Harrow Council
- HB Funding
- Well being Improvements
- HealthKonnect India
- HealthNet World
- HeartFlow
- HelpAround
- henQ
- Hera Funding Funds
- Herman Verrelst
- Highmark Well being
- Holland Capital
- Hongdao Capital
- Hoxton Ventures
- HTC
- Huntington Hospital
- Hyundai Funding Companions
- IBM
- iCAD
- icometrix
- iLabs Capital
- Illumina
- IMADIS Teleradiologie
- Imagia Cybernetics
- Imaging Biometrics
- Imbio
- ImFusion
- IMM Funding
- Imperial School London
- Incepto
- Indira IVF
- Infervision
- InHealth
- INKEF Capital
- In-Med Prognostics
- Innova Salud
- Innovacom
- Innovate UK
- Innovation Endeavors
- InnovationQuarter
- Institut Curie
- Institute for Information Valorization (IVADO)
- Intel
- Intelerad Medical Techniques
- Clever Ultrasound
- Intermountain Healthcare
- Intervest
- Intrasense
- Invenshure
- IQ Capital
- iSchemaView (RapidAI)
- iSono Well being
- Israel Innovation Authority
- Jetpac (Justice Schooling Know-how Political Advocacy Heart)
- Johns Hopkins College
- Johnson & Johnson
- joule
- Kaggle
- Kakao Ventures
- Karos Well being
- KB Funding
- Kentuckiana Well being Collaborative (KHC)
- Keshif Ventures
- Kheiron Medical Applied sciences
- Khosla Ventures
- Kinzon Capital
- Kinzon Capital
- Kleiner Perkins
- Koinvesticinis Fondas
- Koios Medical
- Konica Minolta
- Korea Growth Financial institution
- Korea Telecom
- Kt Investments
- Kumamoto College
- L2 Ventures
- La Costa Funding Group
- Legend Capital
- Lenovo
- Lenovo
- LG CNS
- Linkoping College
- LPIXEL
- LucidHealth
- Lumenis
- Luminous Ventures
- Lunit
- M3
- Maccabi Healthcare Providers
- Mach7 Applied sciences
- Manipal Hospitals
- Marubeni
- MassMutual Ventures (MMV)
- MaxQ AI
- Mayo Clinic
- MBM Firm
- McGill College
- MD Anderson Most cancers Heart
- MedAxiom
- MedGlobal
- Medica Superspecialty Hospital
- Mediscan Techniques
- MEDNAX
- MedNetwork
- MEDO.ai
- Medsynaptic
- MEDTEQ
- Medtronic
- Merge Healthcare
- Methinks
- Microsoft
- Mindshare Medical
- Minneapolis Coronary heart Institute Ventures
- Mirada Medical
- Mirae Asset Enterprise Funding
- MLP Care
- Monash IVF
- Montefiore Nyack Hospital
- Montreal Institute for Studying Algorithms (MILA)
- Moodstocks
- Moorfields Eye Hospital
- Morado Enterprise Companions
- Mount Sinai Hospital
- Myongji Hospital
- Nanox
- Nationwide Well being Service (NHS) Belief
- Nationwide Imaging Academy Wales
- Nationwide Institute of Normal Medical Sciences
- Nationwide Institutes of Well being
- Nationwide Science Basis
- Nauto
- NeuralSeg
- New York Genome Heart (NYGC)
- New York College (NYU)
- NewMargin Ventures
- NewYork-Presbyterian Hospital
- Nico.lab
- Nightingale Hospital
- Nines
- NMC Healthcare
- Nobori
- Nordic Medtech
- Northwell Well being
- Northzone
- Norwich Ventures
- Novo Nordisk
- NTT DATA
- Nuance Communications
- NVIDIA
- NXC Imaging
- Nyansa (now part of VMware)
- ODH Options
- Olea Medical
- Optellum
- Optina Diagnostics
- Optum Ventures
- ORI Capital
- OurCrowd
- Ovation Fertility
- Oxipit
- Panorama Level Companions
- Parkwalk Advisors
- Companions HealthCare
- Pathway Genomics
- Pentathlon Ventures
- Philips
- Phytel, An IBM Firm
- pi Ventures
- platform.ai
- PointGrab
- PowerCloud Enterprise Capital
- Practica Capital
- Prairie Cardiovascular
- Precision Vascular
- Presence Capital
- Qiming Enterprise Companions
- Qingsong Fund
- Qualcomm Design
- Quantib
- Quest Diagnostics
- QuEST World
- QUIBIM
- Qure.ai
- Rabo Ventures
- RADLogics
- RaySearch Laboratories
- Notice
- Crimson Hat
- Regal Funds Administration
- Revelation Companions
- Rhon-Klinikum
- Riverain Applied sciences
- Roche
- Royal Berkshire NHS Basis Belief
- Royal United Hospitals
- R-Pharm
- Samsung
- San Raffaele Hospital
- Sana Kliniken
- Satis Operations
- SB Funding
- SBRI Healthcare
- ScreenPoint Medical
- SeeAI
- Segunda Lectura Diagnostica
- Sejong Hospital
- SELECT Healthcare Options
- SEMA Translink Funding
- SemanticMD
- Semmelweis College
- Sentient Applied sciences
- Seoul Nationwide College Hospital
- Sequoia Capital
- ShengJing360
- Shinhan Funding
- Siemens Healthineers
- SigTuple
- Skope Magnetic Resonance Applied sciences
- Smilegate Funding
- SoftBank Ventures Asia
- SpaceX
- Sq. Peg Capital
- SRI Ventures
- St. John’s School
- Stanford College
- StartX
- Refined Medical
- Sunland Fund
- Sunshine Insurance coverage Group
- Taihe Capital
- Tech Switch UPV
- Tekes – the Finnish Funding Company for Know-how and Innovation
- Telemedicine Clinic
- Telerad Tech
- Temasek
- Temecula Valley Hospital
- Tencent
- TeraRecon
- Terason
- Teva Prescription drugs
- Texas Medical Heart
- The Alan Turing Institute
- The American School of Radiology (ACR) Information Science Institute(DSI)
- The Inventor’s Guild
- The Israel Innovation Authority
- The Jagen Group
- The Oncopole
- The Scottish Authorities
- The Enterprise Actuality Fund
- Thorney Funding Group
- Threshold Ventures
- Tiatros
- Timeful (acquired by Google)
- TLV Companions
- Tongdu Capital
- Tracxn Applied sciences
- Trakterm
- Trillium Well being Companions
- Trusted Perception
- Truven Well being Analytics
- Tsingyuan Ventures
- Twitter Cortex
- College of Antwerp
- College of Bordeaux
- College of California
- College of Cambridge
- College of Dundee
- College of Edinburgh
- College of Florida
- College of Hertfordshire
- College of Montreal
- College of Oxford
- College of Oxford
- College of San Francisco
- College of Sheffield
- UW Drugs
- Varian Medical Techniques
- VH Capital
- Imaginative and prescient Manufacturing facility
- Vivo
- Viz.ai
- Vizyon
- Volpara Options
- VoxelCloud
- VUNO
- Wavemaker Companions
- WeDoctor
- Wellbeing Software program
- Wellington Administration
- Wisemont Capital
- Want
- Ladies’s Imaging Associates
- XB Ventures
- Xiang He Capital
- Y Combinator
- Yongin Severance Hospital
- Zebra Medical Imaginative and prescient
- ZhenFund
For extra details about this report go to https://www.researchandmarkets.com/r/7kxllt
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