¼¼°èÀÇ ÀÇ·á¿ë ÀΰøÁö´É(AI) ½ÃÀå : ÄÄÆ÷³ÍÆ®º°, ¾Ë°í¸®Áòº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®, ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø, ½ÅÁ¾ Äڷγª¹ÙÀÌ·¯½º °¨¿°Áõ(COVID-19)ÀÇ ¿µÇ⠺м®, ÇâÈÄ ¿¹Ãø(-2027³â)
Global AI in Healthcare Market: Analysis By Component, By Algorithm, By Application, By End User, By Region Size & Forecast with Impact Analysis of COVID-19 and Forecast up to 2027
¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀåÀº 2021³â¿¡ 67¾ï 1,000¸¸ ´Þ·¯¸¦ ±â·ÏÇßÀ¸¸ç, 2027³â±îÁö 417¾ï ´Þ·¯¿¡ ´ÞÇÒ °¡´É¼ºÀÌ ³ôÀ» °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.
ƯÇã ¸¸·á °Ç¼ö Áõ°¡¿¡ ÀÇÇÑ ÀÓ»ó½ÃÇèÀÇ ½Å¼ÓÈ ¿ä±¸ ±ÞÁõÀ̳ª ¼ö¼ú ·Îº¿ ä¿ë Áõ°¡¿¡ ÀÇÇÑ ¼ö¿ä ±ÞÁõ, ÀÇ·á ·Îº¿ ¿¬±¸¿ë ÀÚ±Ý Á¶´Þ È®´ë, ½º¸¶Æ®Æù º¸±Þ·ü »ó½Â¿¡ µû¸¥ °¡»ó ºñ¼ º¸±Þ µîÀÌ ÇâÈÄ ¸î ³â°£ ÀÇ·á¿ë AI ½ÃÀå ¼ö¿ä¿¡ ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î »ý°¢µË´Ï´Ù. ÀÇ·á¿ë AI ½ÃÀåÀº ¿¹Ãø±â°£ Áß(2022-2027³â)¿¡ 37.48%ÀÇ CAGR·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.
¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå¿¡ ´ëÇØ ºÐ¼®ÇßÀ¸¸ç, ÀüüÀûÀÎ ½ÃÀå ±Ô¸ð µ¿Çâ Àü¸Á(±Ý¾× ±âÁØ, 2022-2027³â), ÄÄÆ÷³ÍÆ®º°¡¤¾Ë°í¸®Áòº°¡¤¿ëµµº°¡¤ÃÖÁ¾»ç¿ëÀÚº° ¹× Áö¿ªº° »ó¼¼ µ¿Çâ, ½ÅÁ¾ Äڷγª¹ÙÀÌ·¯½º °¨¿°Áõ(COVID-19)ÀÇ ¿µÇâ, ÁÖ¿ä ½ÃÀå ¼ºÀå ÃËÁø¡¤¾ïÁ¦¿äÀÎ, ±â¾÷°£ °æÀï »óȲ, ÁÖ¿ä ±â¾÷ °³¿ä µîÀ» Á¶»çÇß½À´Ï´Ù.
¸ñÂ÷
Á¦1Àå ÁÖ¿ä ¿ä¾à
Á¦2Àå ¼·Ð
Á¦3Àå ¼¼°è ½ÃÀå ºÐ¼®
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ºÐ¼®
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå ±Ô¸ð(±Ý¾× ±âÁØ)
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ÄÄÆ÷³ÍÆ®º° ºÐ¼®
- ¼ÒÇÁÆ®¿þ¾î ¼Ö·ç¼Ç
- Çϵå¿þ¾î
- ¼ºñ½º
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ¾Ë°í¸®Áòº° ºÐ¼®
- µö·¯´×
- Äõ¸® ¹æ½Ä
- ÀÚ¿¬¾ð¾îó¸®
- »óȲÀνÄó¸®
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ¿ëµµº° ºÐ¼®
- ÀÓ»ó½ÃÇè
- ·Îº¿ Áö¿ø ¼ö¼ú
- Ä¿³ØÆ¼µå ¸Ó½Å
- ºÎÁ¤ °ËÃâ
- °¡»ó ¾î½Ã½ºÅÏÆ®
- °ü¸® ¿öÅ©Ç÷οì Áö¿ø
- Áø´Ü
- Åõ¾à ¿¡·¯ Àý°¨
- »çÀ̹ö º¸¾È
- ±âŸ
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº° ºÐ¼®
- º´¿ø¡¤ÀÇ·á Á¦°øÀÚ
- Á¦¾à¡¤¹ÙÀÌ¿ÀÅ×Å©³î·¯Áö ±â¾÷
- ȯÀÚ
- ÀÇ·áºñ ÁöºÒÀÚ
- ±âŸ
Á¦4Àå Áö¿ªº° ½ÃÀå ºÐ¼®
- ºÏ¹ÌÀÇ ÀÇ·á¿ë AI ½ÃÀå : ºÐ¼®
- À¯·´ÀÇ ÀÇ·á¿ë AI ½ÃÀå : ºÐ¼®
- ¿µ±¹
- µ¶ÀÏ
- ÇÁ¶û½º
- ÀÌÅ»¸®¾Æ
- ½ºÆäÀÎ
- ±âŸ À¯·´ ±¹°¡
- ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ÀÇ·á¿ë AI ½ÃÀå : ºÐ¼®
- Áß±¹
- ÀϺ»
- Çѱ¹
- Àεµ
- ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç ±¹°¡
- ±âŸ ±¹°¡(RoW)ÀÇ ÀÇ·á¿ë AI ½ÃÀå : ºÐ¼®
Á¦5Àå ½ÅÁ¾ Äڷγª¹ÙÀÌ·¯½º °¨¿°Áõ(COVID-19)ÀÇ ¿µÇâ
- COVID-19°¡ ÀÇ·á¿ë AI ½ÃÀå¿¡ ¹ÌÄ¡´Â ¿µÇâ
- ¿ø°ÝÀÇ·á ä¿ëÀÌ ±ÞÁõ
- ÀÇ·á¿ë AI¿ë ÀÚ±Ý Áõ°¡
- ¹é½Å¡¤ÀǾàǰ °³¹ß ÃËÁøÀ» À§ÇÑ AI µµÀÔ È®´ë
Á¦6Àå ½ÃÀå ¿ªÇÐ
- ¼ºÀå ÃËÁø¿äÀÎ
- ¼ö¼ú¡¤ÀçȰ ½Ã¼úÀ» À§ÇÑ ·Îº¿ ÀÌ¿ë È®´ë
- ÀÇ·á µ¥ÀÌÅÍ·® Áõ°¡
- °í·ÉÀÚ Äɾ À§ÇÑ AI ±â¹Ý Åø °¡´É¼º »ó½Â
- ÀÇ·á¿ë AI ÀÚº» °Å·¡¿¡ ´ëÇÑ ÅõÀÚ°¡ ±ÞÁõ
- ¿þ¾î·¯ºí µð¹ÙÀ̽ºÀÇ ±Þ¼ÓÇÑ º¸±Þ
- ¿Â¶óÀÎ ¾à±¹ º¸±Þ ħÅõ
- °úÁ¦
- AI ±â¹Ý ±â¼ú ä¿ë¿¡ ¼Ò±ØÀûÀÎ ÀÇ·áÁ¾»çÀÚ
- µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¿¡ °üÇÑ ¿ì·Á
- ½ÃÀå µ¿Çâ
- ¼÷·Ã ³ëµ¿·Â ºÎÁ·
- ÀçÅÃÀÇ·á·ÎÀÇ À̵¿
- ¸ÂÃãÇü ÀÇ·á ¼ö¿ä ±ÞÁõ
- ¾÷°è¸¦ ÃÊ¿ùÇÑ »ç¾÷ Á¦ÈÞ¡¤»ç¾÷ Çù·Â Áõ°¡
Á¦7Àå °æÀï »óȲ
- ¼¼°èÀÇ ÀÇ·á¿ë AI ½ÃÀå : ±â¾÷ Àμö ºñ±³
Á¦8Àå ±â¾÷ °³¿ä
- IBM Corporation
- »ç¾÷ °³¿ä
- »ç¾÷ ºÎ¹®
- »ç¾÷ Àü·«
- Alphabet Inc.(Google)
- Johnson & Johnson Ltd.
- Amazon.Com, Inc.(Amazon Web Services, Inc.)
- Microsoft Corp.(Microsoft Azure)
- Intel Corporation
- Koninklijke Philips N.V.
- Nvidia Corporation
- Siemens Healthineers AG
- General Electric Company
- Babylon Holdings Limited
- NetBase Quid
- Oncora Medical
- Cloudmedx Health Inc.
- iCarbonX
KSM 22.10.12
Artificial Intelligence (AI) is being used to deploy efficient and precise inventions that will help take care of individuals suffering from chronic ailments, such as cancer, and hopefully find a cure for them. AI algorithms improve system precision by allowing them to analyze training data, allowing people to gain unprecedented insights into treatment variability, care processes, diagnostics, and patient outcomes. In 2021, the global AI in healthcare market was valued at US$6.71 billion, and is probable to reach US$41.70 billion by 2027.
Surging demand for faster clinical trials due to rising number of patent expirations, surge in demand of rising adoption of surgical robots, increase in funding for medical robot research, increasing adoption of virtual assistants on account of increasing penetration of smartphones, would impact demand for AI in healthcare market in the coming years. The AI in healthcare market is projected to grow at a CAGR of 37.48%, during the forecast period of 2022-2027.
Market Segmentation Analysis:
By Component: The report splits the global AI in healthcare market into three components: Software Solutions, Hardware and Services. Software solutions segment held almost half of the market share in 2021. High imbalance between patients and medical staff, ability to improve patient care and the possibility of reducing medical costs are some of the major factors that encouraged the adoption of AI software solutions in healthcare, in the historical years.
By Algorithm: According to the report, the global AI in healthcare market is segregated into four algorithms: Natural Language Processing, Querying Method, Context aware Processing and Deep Learning. Natural Language processing segment accounted for the major share of 46% in the market in 2021, due to the increase in the use of signal reduction, data mining and image recognition, which are integral component of most AI protocols.
By Application: According to the report, the global AI in healthcare market is segmented into ten applications: Clinical Trails, Robot Assisted Surgery, Connected Machines, Fraud Detection, Virtual Assistants, Administration Workflow Assistants, Diagnosis, Dosage Error Reduction, Cyber security and other. Clinical trials segment accounted a share of approximately 23% in 2021, due to the growing number of patent expirations, and rising demand for faster and accurate clinical trials to cater to the need for new drug discoveries.
By End Users: The report splits the global AI in healthcare market into five end users: Hospital & Healthcare providers, Pharmaceutical & Biotechnology companies, Patients, Healthcare Payers and Others. In 2021, Hospital & Healthcare providers segment held approximately 28% in the market, due to the rising trend of telehealth in view of the COVID-19 pandemic and restrictions as a result of social distancing norms etc.
By Region: According to this report, the global AI in healthcare market can be divided into four major regions: Asia Pacific (China, Japan, India, South Korea and Rest of Asia Pacific), North America (The US, Canada and Mexico), Europe (Germany, UK, France, Italy, Spain and Rest of Europe) and Rest of the World. The North America AI in healthcare market enjoyed the market share of around 40% in 2021, primarily owing to the rise in the number of artificial intelligence startups in the healthcare sector, surging adoption of machine learning in the medical sector leading to the growth of AI in the healthcare market in countries like the US and Canada.
While the US continues to be a prominent region of North America AI in healthcare market, accounting for the increasing adoption of AI technology across the continuum of care, high healthcare spending combined with the onset of COVID-19 pandemic accelerating the adoption of AI in hospital and clinics across the region.
Global AI in Healthcare Market Dynamics:
Growth Drivers: Surgical robots are not only designed to assist with complex surgeries but are also being tested to conduct automated surgeries through AI and machine learning. AI assists surgical robots with reasoning and performance of cognitive functions like decision-making, problem-solving, speech-recognition, and more, which helps to grow the AI in healthcare market. Further, the market is expected to increase due to increasing volume of healthcare data, growing potential of AI-based tools for elderly care, surging investment in AI deals in healthcare, rapid adoption of wearable devices, escalating penetration of online pharmacy, etc.
Challenges: The implementation of AI solutions such as electronic health records, e-prescriptions, medical apps require stringent data security. AI has several useful applications in healthcare. However, the adoption of AI in the industry is restricted owing to data privacy concerns. The other challenge that AI in healthcare market face is reluctance among medical practitioners to adopt AI-based technologies, etc.
Trends: A major trend gaining pace in AI in healthcare market is growing shift towards home healthcare. Shifting more care into the home with telemedicine enables use of wearable devices, and data analytics, and would lead to more opportunities for AI and other technologies to be leveraged. Consequently, emergence of various pandemic diseases is posing a lucrative opportunity for the growth of the global AI in healthcare market. More trends in the market are believed to augment the growth of AI in healthcare market during the forecasted period include shortage of skilled workforce, upsurge in demand for personalized medicine, rising number of cross-industry partnerships and collaborations, etc.
Impact Analysis of COVID-19 and Way Forward:
COVID-19 has had a favorable market impact. The adoption of artificial intelligence and machine learning technologies increased as a result of COVID-19. The epidemic demonstrated the power and sophistication that artificial intelligence can bring to the healthcare sector, fundamentally transforming the business. As the number of patients in hospitals increased, so did the adoption and implementation of robotically assisted medical surgeries, artificial intelligence-based virtual assistants, and inpatient care bots, and other technologies.
Competitive Landscape and Recent Developments:
The AI in healthcare market is fragmented with the presence of a large number of players majorly dominating worldwide. Key players of the AI in healthcare market are:
IBM Corporation
Alphabet Inc. (Google)
Johnson & Johnson Ltd.
Amazon.Com, Inc. (Amazon Web Services, Inc.)
Microsoft Corp. (Microsoft Azure)
Intel Corporation
Koninklijke Philips N.V.
Nvidia Corporation
Siemens Healthineers AG
General Electric Company
Babylon Holdings Limited
NetBase Quid
Oncora Medical
Cloudmedx Health Inc.
iCarbonX
The key players are constantly investing in strategic initiatives, such as new product launches, introducing their products to emerging markets and more, to maintain a competitive edge in this market. In 2020, Aidoc and Imbio partnered to integrate AI technologies in medical image analysis for pulmonary embolism to improve detection and treatment regimes. In 2019, Partners Healthcare collaborated with FUJIFILM Sonosite to develop AI-based ultrasound technology, improve the accessibility of this technology for the healthcare fraternity, and improve the quality of diagnostic care.
Table of Contents
1. Executive Summary
2. Introduction
- 2.1 AI in Healthcare: An Overview
- 2.1.1 Objectives of ABCD Applications in Healthcare
- 2.2 AI in Healthcare Segmentation: An Overview
- 2.2.1 AI in Healthcare Segmentation
3. Global Market Analysis
- 3.1 Global AI in Healthcare Market: An Analysis
- 3.1.1 Global AI in Healthcare Market: An Overview
- 3.1.2 Global AI in Healthcare Market by Value
- 3.1.3 Global AI in Healthcare Market by Component (Software Solutions, Hardware and Services)
- 3.1.4 Global AI in Healthcare Market by Algorithms (Natural Language Processing, Querying Method, Context aware Processing and Deep Learning)
- 3.1.5 Global AI in Healthcare Market by Application (Clinical Trials, Robot Assisted Surgery, Connected Machines, Fraud Detection, Virtual Assistants, Administration Workflow Assistants, Diagnosis, Dosage Error Reduction, Cyber security and Others)
- 3.1.6 Global AI in Healthcare Market by End User (Hospital & Healthcare providers, Pharmaceutical & Biotechnology companies, Patients, Healthcare Payers and Others)
- 3.1.7 Global AI in Healthcare Market by Region (Asia Pacific, North America, Europe, and Rest of the World)
- 3.2 Global AI in Healthcare Market: Component Analysis
- 3.2.1 Global AI in Healthcare Market by Component: An Overview
- 3.2.2 Global Software Solutions AI in Healthcare Market by Value
- 3.2.3 Global Hardware AI in Healthcare Market by Value
- 3.2.4 Global Services AI in Healthcare Market by Value
- 3.3 Global AI in Healthcare Market: Algorithm Analysis
- 3.3.1 Global AI in Healthcare Market by Algorithm: An Overview
- 3.3.2 Global Deep Learning AI in Healthcare Market by Value
- 3.3.3 Global Querying Method AI in Healthcare Market by Value
- 3.3.4 Global Natural Language Processing AI in Healthcare Market by Value
- 3.3.5 Global Context Aware Processing AI in Healthcare Market by Value
- 3.4 Global AI in Healthcare Market: Application Analysis
- 3.4.1 Global AI in Healthcare Market by Application: An Overview
- 3.4.2 Global Clinical Trails AI in Healthcare Market by Value
- 3.4.3 Global Robot Assisted Surgery AI in Healthcare Market by Value
- 3.4.4 Global Connected Machines AI in Healthcare Market by Value
- 3.4.5 Global Fraud Detection AI in Healthcare Market by Value
- 3.4.6 Global Virtual Assistants AI in Healthcare Market by Value
- 3.4.7 Global Administration Workflow Assistants AI in Healthcare Market by Value
- 3.4.8 Global Diagnosis AI in Healthcare Market by Value
- 3.4.9 Global Dosage Error Reduction AI in Healthcare Market by Value
- 3.4.10 Global Cyber security AI in Healthcare Market by Value
- 3.4.11 Global Other AI in Healthcare Market by Value
- 3.5 Global AI in Healthcare Market: End User Analysis
- 3.5.1 Global AI in Healthcare Market by End User: An Overview
- 3.5.2 Global Hospital & Healthcare Providers AI in Healthcare Market by Value
- 3.5.3 Global Pharmaceutical & Biotechnology Companies AI in Healthcare Market by Value
- 3.5.4 Global Patients AI in Healthcare Market by Value
- 3.5.5 Global Healthcare Payers AI in Healthcare Market by Value
- 3.5.6 Global Others AI in Healthcare Market by Value
4. Regional Market Analysis
- 4.1 North America AI in Healthcare Market: An Analysis
- 4.1.1 North America AI in Healthcare Market: An Overview
- 4.1.2 North America AI in Healthcare Market by Value
- 4.1.3 North America AI in Healthcare Market by Region (The US, Canada and Mexico)
- 4.1.4 The US AI in Healthcare Market by Value
- 4.1.5 The US AI in Healthcare Market by Component (Software Solutions, Hardware and Services)
- 4.1.6 The US Software Solutions AI in Healthcare Market by Value
- 4.1.7 The US Hardware AI in Healthcare Market by Value
- 4.1.8 The US Services AI in Healthcare Market by Value
- 4.1.9 Canada AI in Healthcare Market by Value
- 4.1.10 Mexico AI in Healthcare Market by Value
- 4.2 Europe AI in Healthcare Market: An Analysis
- 4.2.1 Europe AI in Healthcare Market: An Overview
- 4.2.2 Europe AI in Healthcare Market by Value
- 4.2.3 Europe AI in Healthcare Market by Regions (Germany, UK, France, Italy, Spain and Rest of Europe)
- 4.2.4 UK AI in Healthcare Market by Value
- 4.2.5 Germany AI in Healthcare Market by Value
- 4.2.6 France AI in Healthcare Market by Value
- 4.2.7 Italy AI in Healthcare Market by Value
- 4.2.8 Spain AI in Healthcare Market by Value
- 4.2.9 Rest of Europe AI in Healthcare Market by Value
- 4.3 Asia Pacific AI in Healthcare Market: An Analysis
- 4.3.1 Asia Pacific AI in Healthcare Market: An Overview
- 4.3.2 Asia Pacific AI in Healthcare Market by Value
- 4.3.3 Asia Pacific AI in Healthcare Market by Region (China, Japan, South Korea, India and Rest of Asia Pacific)
- 4.3.4 China AI in Healthcare Market by Value
- 4.3.5 Japan AI in Healthcare Market by Value
- 4.3.6 South Korea AI in Healthcare Market by Value
- 4.3.7 India AI in Healthcare Market by Value
- 4.3.8 Rest of Asia Pacific AI in Healthcare Market by Value
- 4.4 Rest of the World AI in Healthcare Market: An Analysis
- 4.4.1 Rest of the World AI in Healthcare Market: An Overview
- 4.4.2 Rest of the World AI in Healthcare Market by Value
5. Impact of COVID-19
- 5.1 Impact of COVID-19 on AI in Healthcare Market
- 5.1.1 Impact of COVID-19 on AI in Healthcare
- 5.1.2 Surging Adoption of Telemedicine
- 5.1.3 Growth in Healthcare AI Funding
- 5.1.4 Escalating Adoption of AI to Expedite the Vaccine or Drug Development
- 5.1.5 Post COVID-19 Impact
6. Market Dynamics
- 6.1 Growth Drivers
- 6.1.1 Rising Utilization of Robots for Surgical and Rehabilitation Procedures
- 6.1.2 Increasing Volume of Healthcare Data
- 6.1.3 Growing Potential of AI-Based Tools for Elderly Care
- 6.1.4 Surging Investment in AI Deals in Healthcare
- 6.1.5 Rapid Adoption of Wearable Devices
- 6.1.6 Escalating Penetration of Online Pharmacy
- 6.2 Challenges
- 6.2.1 Reluctance among Medical Practitioners to Adopt AI-based Technologies
- 6.2.2 Concerns Regarding Data Privacy
- 6.3 Market Trends
- 6.3.1 Shortage of Skilled Workforce
- 6.3.2 Shift towards Home Healthcare
- 6.3.3 Upsurge in Demand for Personalized Medicine
- 6.3.4 Rising Number of Cross-Industry Partnerships and Collaborations
7. Competitive Landscape
- 7.1 Global AI in Healthcare Market: Acquisition Comparison
8. Company Profiles
- 8.1 IBM Corporation
- 8.1.1 Business Overview
- 8.1.2 Operating Segments
- 8.1.3 Business Strategy
- 8.2 Alphabet Inc. (Google)
- 8.2.1 Business Overview
- 8.2.2 Operating Segments
- 8.2.3 Business Strategy
- 8.3 Johnson & Johnson Ltd.
- 8.3.1 Business Overview
- 8.3.2 Operating Segments
- 8.3.3 Business Strategy
- 8.4 Amazon.Com, Inc. (Amazon Web Services, Inc.)
- 8.4.1 Business Overview
- 8.4.2 Operating Segments
- 8.4.3 Business Strategy
- 8.5 Microsoft Corp. (Microsoft Azure)
- 8.5.1 Business Overview
- 8.5.2 Operating Segments
- 8.5.3 Business Strategy
- 8.6 Intel Corporation
- 8.6.1 Business Overview
- 8.6.2 Operating Segments
- 8.6.3 Business Strategy
- 8.7 Koninklijke Philips N.V.
- 8.7.1 Business Overview
- 8.7.2 Operating Segments
- 8.7.3 Business Strategy
- 8.8 Nvidia Corporation
- 8.8.1 Business Overview
- 8.8.2 Operating Segments
- 8.8.3 Business Strategy
- 8.9 Siemens Healthineers AG
- 8.9.1 Business Overview
- 8.9.2 Operating Segments
- 8.9.3 Business Strategy
- 8.10 General Electric Company
- 8.10.1 Business Overview
- 8.10.2 Operating Segment
- 8.10.3 Business Strategy
- 8.11 Babylon Holdings Limited
- 8.11.1 Business Overview
- 8.11.2 Operating Regions
- 8.11.3 Business Strategy
- 8.12 NetBase Quid
- 8.12.1 Business Overview
- 8.12.2 Business Strategy
- 8.13 Oncora Medical
- 8.13.1 Business Overview
- 8.13.2 Business Strategy
- 8.14 Cloudmedx Health Inc.
- 8.14.1 Business Overview
- 8.14.2 Business Strategy
- 8.15 iCarbonX