With increasing use of latest technology such as artificial intelligence, its implementation in different sectors has also increased. In the recent times, with growth and development of health sector, the integration of the same with AI has been witnessed. As a matter of fact, this integration is gaining much popularity and can be considered to be a success. The present report revolves around understand the overall application of AI in healthcare industry. The potential of AI to create meaningful relationship within a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. The ability and expertise of AI techniques has been explored in nearly every arena of medicine. Based on application, the application of AI in healthcare sector is divided into Robotic surgery, Diagnosis, Virtual Nursing assistance, Administrative workflow assistance and Advances analytics and research. All of these advances point out towards the fact that such capabilities can support, or even enhance, human decision making in health and healthcare. There are a varied areas in healthcare that can be positively impacted by adoption of AI, owing to the benefits associated with AI application. Based on technology, the healthcare AI market is divided into Machine learning, Deep learning, Intelligent agent and Neural networks. Artificial neural network is the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. Artificial intelligence techniques have the potential to be applied in almost every field of medicine. Owing to such a widespread usage of AI in healthcare, it will be interesting and is the need of the hour to understand and analyses the growth of AI in the field of healthcare and is thus the scope of the present research.
On the basis of region, the market has been segmented into North America, Europe, Asia-Pacific, MENA (Middle East & North Africa) and Latin America. As a matter of fact, AI in healthcare has witnessed growth globally in the past decade. North America dominates the healthcare AI market, accounting for XX% share. The region is expected to show increased exponential growth when compared with other areas. In North America, USA has been specifically found to be the major contributor. Apart from this, Asia-Pacific region that holds almost all the emerging markets in the world can also be estimated to hold good potential in terms of growth of AI in healthcare. Due to the developing nature of the region, many researches have estimated that the region will witness an upward, fast paced compounded annual growth rate. Further, major players operating in the global healthcare AI market includes IBM Corporation, Intel Corporation, Google, Inc., NVIDIA Corporation, Microsoft Corporation, iCarbonX, Next IT Corp., CloudMedx Inc., Carescore, Atomwise, Inc., Zephyr Health, Inc., Sentirian, BabyLabs, Inc., Siemens Healthineers GmbH, Johnson & Johnson, Welltok, Inc., General Vision, Inc., Enlitic, Inc., Recursion Pharmaceuticals, General Electric Company, Stryker Corporation, Deep Genomics, Inc., Medtronic Plc., Koninklijke Philips N.V., and Oncora Medical, Inc.
Global AI in Healthcare Market Overview
Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence with much higher precisions and error control than that done by humans. AI facilitates in creation of intelligent agents where an intelligent agent is a system that recognizes its environment of operation and takes actions which maximizes its likelihood of success. The importance of AI in healthcare was realised in early 1980s when the absence of proper data management and requirement of extreme precision along with importance of minimal invasive methods was recognised. Artificial intelligence is a branch of computer science and information technology that is capable of analysing complex medical data. Today, in the age of breakthrough of technology and automation, the research and implementation of AI in healthcare is at its best. Healthcare sector is one of the most important sectors that is a priority for the human race. Owing to its amalgamation with the IT industry, the growth and development of healthcare industry has increased and reached the next level.
Recent Developments under Computing Power in Healthcare
Key Developments Key Insights
IBM Watson for Oncology - IBM have developed Watson technologies for healthcare. It is a unified platform meant to assist doctors and healthcare professionals in various aspects of treatment. IBM Watson for Oncology is specifically designed for helping oncologists involved in cancer treatment
- Watson for Oncology derives data from various sources including MSK curated literature and rationales, as well as over 290 medical journals, over 200 textbooks, and 12 million pages of text
IBM and Manipal Hospitals (India) - In India, IBM has partnered with Manipal Hospitals to provide diagnosis and treatment to cancer patients. Watson for Oncology is used across 16 facilities and academic centers of the hospital where more than 200,00 patients are treated each year
American Cancer Society and IBM - The American Cancer Society is utilizing IBM Watson to mine data from websites and relevant sources to offer personalized treatments for oncology patients. According to IBM, over 16 oncology practices are depending on Watson to enable doctors in translating DNA insights into personalized treatment for patients
Dartmouth-Hitchcock and Microsoft - Dartmouth-Hitchcock, a US-based health system based in New Hampshire has adopted Microsoft's Cortana Intelligence Suite to predict medical emergencies for patients. Branded as ImagineCare, this solution is available to more than 6000 patients of Dartmouth
Microsoft India and L V Prasad Eye Institute - Microsoft India has partnered with L V Prasad Eye Institute to launch a consortium named Microsoft Intelligent Network for Eyecare (MINE). The partner organizations of this consortium would include Bascom Palmer (University of Miami), Flaum Eye Institute (University of Rochester (USA)), Federal University of Sao Paulo (Brazil) and Brien Holden Vision Institute (Australia). These organizations will collaborate on the diverse patient dataset to evolve machine learning predictive models for vision impairment and eye disease
Pfizer and IBM - Pfizer is using IBM's Watson machine-learning platform to help find new immuno-oncology targets and drugs
Sanofi and Exscientia - Sanofi is using a rival system from UK firm Exscientia in a metabolic disease program
The outburst of technology that is digitally enabled, wireless connectivity across increasingly mobile devices has created an increasing democratisation of access for healthcare. Some of the most powerful AI tools are already embedded in Android or iOS. This technology is providing consumers with the data and information they need to proactively manage their own health and wellness, and to make better, more informed decisions in partnership with their healthcare providers. AI can prove to be a boom in the field of diagnosis. The high cost involved in diagnostic processes, over-testing of low-risk patients, and limited capability for early detection of chronic diseases are driving the adoption of AI in diagnostics. This is because AI is capable of bridging the gap between doctor-centric diagnosis and AI-based diagnosis through pattern recognition and machine learning technologies.
Coming to drug development, it requires lots of time, investment and resources. Owing to this, the pharma companies are keen to embrace digital transformation and AI. According to Deloitte, in 2017, 12 largest biopharma companies received just 3.2% returns from their drug-research units, as against 10% in 2010. The use of AI in drug discovery is expected to expedite the overall process. Applied intelligence can improve drug discovery success rates by 8-10%, resulting in savings worth billions of dollars for the industry. Finding drug discovery compounds and precision medicine are the major trending applications over other pharma based AI applications.
?Machine learning technology of AI dominated the market globally in 2018 and is expected to maintain its lead in 2025?
Based on technology, the global AI in healthcare market has been segmented into machine learning, deep learning and artificial neural network. Out of these technologies, in 2018, machine learning dominated the market globally and is expected to maintain its lead in 2025. The increasing power of machine learning in diagnosing disease and in categorisation and classifying health data is empowering physicians and speed-up decision making across the medical facilities including hospitals or clinic.
?Amongst application, robotic surgery holds the major share globally in 2018 but diagnosis has been estimated to lead the market during the forecast period.?
Based on technology, the global AI in healthcare market has been segmented into robotic surgery, diagnosis, Virtual Nursing assistance and Administrative workflow assistance. In 2018, robotic surgery dominated the application segment of global AI in healthcare market, generating revenue of US$8589 million, followed by virtual nursing assistance and administrative workflow. The segment is expected to grow at a CAGR of XX% during the forecast period by 2025. However, the diagnosis segment is expected to witness the highest CAGR of XX% during the analysed period.
?
?Amongst end users, hardware segment has been anticipated to dominate the AI in healthcare sector by 2025.?
Based on the type of offering, the global AI in healthcare market is segmented into hardware, software or services. Currently, services segment dominates the market. However, hardware segment is expected to witness the highest CAGR growth during the forecast period 2018-2025.
?North America region holds the highest market share in 2018 but Asia Pacific market has been expected to witness the highest market growth in the forecast period?
Artificial intelligence in healthcare market in North America has been on an up-surging trend due to the high adoption rate of AI in country such as the US and Canada, paired with development and growth of research & development activities that combine the investments by government and private organizations. As far as Asia-Pacific region is concerned, it has lagged behind North America and Europe in terms of technology adoption. However, AI is one technology area where Asia-Pacific can stand apart, compared to other region and has been expected to witness the highest growth in the forecast period.
Competitive Landscape-Top 10 Market Players
Medtronic Plc, Abbott Laboratories, Johnson and Johnson, Bcton Dickinson, Boston Scientific Corporation, Koninklijke Philips N.V, Roche Holding AG, Siemens Healthineers AG, Stryker Corporation and Oracle Corporation are the major players operating in the AI in healthcare market. These company are partnering up with technology leaders and are investing heavily to come up with new and innovative AI backed healthcare equipment to treat patients.
Reasons to buy:
- The dental imaging market study presents the current market size, trend, forecast until 2024. The analysis presented in the report is a combination of deep dive secondary research and input from Key Opinion Leaders of the industry
- The report presents a quick review of overall industry performance at one glance
- The report covers in-depth analysis of prominent industry peer with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments
- Detailed examination on drivers, restraints, key trends and opportunities prevailing in the industry
- Examination of industry attractiveness with the help of Porter's Five Forces analysis
- The study comprehensively covers the market across different segments and sub segments
- Deep dive regional level analysis of the industry
Customization Options:
The Dental Imaging Technology Market can be customized to the country level or any other market segment. Besides this, UMI understands that you may have your own business need, hence we also provide fully customized solutions to clients.
Table of Contents
1. MARKET INTRODUCTION
1.1 Market Definition 12
1.2 Objective of the Study 12
1.3 Limitation 12
1.4 Stakeholders 13
1.5 Currency used in the Report 13
2. RESEARCH METHODOLOGY OR ASSUMPTION 14
2.1 Research Methodology for AI in Healthcare Market Study 14
2.1.1 Main objective of the AI in health care sector Market Study 15
3. REGULATORY FRAMEWORK AND KEY DEVELOPMENT 16
3.1 General Overview 16
3.1.1 North America 16
3.1.1.1 North America Regulatory Framework for AI in Healthcare 16
3.1.1.2 North American Key Developments of AI in Healthcare 17
3.1.2 Europe 17
3.1.2.1 European Regulatory Framework for AI in Healthcare 17
3.1.2.2 European Key Developments of AI in Healthcare 18
3.1.3 Asia Pacific (APAC) 19
3.1.3.1 Asia Pacific (APAC) Regulatory Framework for AI in Healthcare 19
3.1.3.2 Asia Pacific (APAC) Key Developments of AI in Healthcare 20
3.1.4 Rest of World (RoW) 20
3.1.4.1 Rest of World (RoW) Regulatory Framework for AI in Healthcare 20
4. INDUSTRY PERFORMANCE 22
5. EXECUTIVE SUMMARY 23
6. MARKET OVERVIEW 25
6.1 Introduction 25
6.2 Market Dynamics 25
6.2.1 Market Drivers 26
6.2.1.1 Increasingly Large and Complex Data Set 26
6.2.1.2 Growing Demand to Reduce Healthcare Costs 27
6.2.1.3 Improving Computing Power in Healthcare 28
6.2.1.4 Rising Need for Improvised Healthcare Services 30
6.2.1.5 Application of AI for novel surgeries and screening 31
6.2.2 Market Restraints 32
6.2.2.1 Limitations of AI decision-making 32
6.2.2.2 Reluctance Among Medical Practitioners to Adopt AI-Based Technologies 32
6.2.2.3 Lack of Skilled AI Workforce and Ambiguous Regulation for Medical Software 33
6.2.3 Trends in AI in Healthcare 33
6.2.3.1 Democratisation of access 33
6.2.3.2 Migration from Doctor-Centric Diagnostics to Data-Driven Diagnostics 33
6.2.3.3 Transformation of Drug Discovery in Pharma Industry 34
6.2.3.4 Data Explosion 34
6.2.4 Opportunity 34
6.2.4.1 Growing Potential of AI-Based Tools 34
6.2.4.2 Increasing Focus on Developing Human-Aware AI Systems 35
6.2.4.3 Surging Spending Power on R&D 35
6.2.4.4 Untapped market in developing regions 37
7. KEY MARKET INDICATORS 38
7.1 General Overview 38
7.1.1 Demand and Supply Side Analysis 38
7.1.2 North America 39
7.1.3 Europe 39
7.1.4 Asia-Pacific 39
7.1.5 Applications of AI in Healthcare 41
7.1.5.1 Top Winning Strategies 41
7.1.5.1.1 Top Product launches 42
7.1.5.1.2 Top Investments 43
7.1.5.1.3 Top Acquisition and Collaborations 45
8. MARKET INSIGHTS BY TECHNOLOGY 46
8.1 General Overview 46
8.1.1 Machine Learning 47
8.1.2 Deep Learning 48
8.1.3 Artificial Neural Network 50
9. MARKET INSIGHTS BY APPLICATION 52
9.1 General Overview 52
9.1.1 Robotic Surgery 53
9.1.2 Diagnosis 54
9.1.3 Virtual Nursing Assistance 55
9.1.4 Administrative Workflow Assistance 56
10. MARKET INSIGHTS BY TYPE OF OFFERINGS 58
10.1 General Overview 58
10.1.1 Software 59
10.1.2 Services 61
10.1.3 Hardware 62
11. MARKET INSIGHTS BY REGION 64
11.1 General Overview 64
11.2 North America Healthcare AI Market 65
11.2.1 North America Healthcare AI Market by Technology 65
11.2.2 North America Healthcare AI Market by Application 66
11.2.3 North America Healthcare AI Market by Type of Offerings 68
11.3 Europe Healthcare AI Market, US$ Million (2015-2025) 68
11.3.1 Europe Healthcare AI Market by Technology 69
11.3.2 Europe Healthcare AI Market by Application 70
11.3.3 Europe Healthcare AI Market by Type Offering 71
11.4 Asia-Pacific Healthcare AI Market, US$ Million (2018-2025) 71
11.4.1 Asia-Pacific Healthcare AI Market by Technology 72
11.4.2 Asia-Pacific Healthcare AI Market by Application 73
11.4.3 Asia-Pacific Healthcare AI Market by Type of Offerings 73
11.5 Rest of the World Healthcare AI Market, US$ Million (2018-2025) 74
11.5.1 Rest of World Healthcare AI Market by Technology 75
11.5.2 Rest of World Healthcare AI Market by Application 75
11.5.3 Rest of World Healthcare AI Market by Type of Offerings 76
12. COMPETITIVE SCENARIO 77
12.1 Global Healthcare AI Market Share Analysis, 2018 77
12.2 Porter's Five forces analysis 80
12.2.1 Bargaining power of Buyer 80
12.2.2 Bargaining power of Supplier 81
12.2.3 Threat of new entrants 81
12.2.4 Availability of Substitute 82
12.2.5 Industry Rivalry 82
13. TOP COMPANY PROFILES 83
13.1 Medtronic Plc 83
13.1.1 Key Facts 83
13.1.2 Business Description 83
13.1.3 Key Product/Services Offerings 84
13.1.4 SWOT Analysis 85
13.1.5 Key Financials 86
13.1.5.1 Revenue Split 87
13.1.6 Recent Developments 87
13.1.7 Funding 88
13.2 Abbott Laboratories 89
13.2.1 Key Facts 89
13.2.2 Business Description 89
13.2.3 Key Product/Services Offerings 90
13.2.4 SWOT Analysis 90
13.2.5 Key Financials 91
13.2.5.1 Revenue Split 92
13.2.6 Recent Developments 92
13.3 Johnson & Johnson 93
13.3.1 Key Facts 93
13.3.2 Business Description 93
13.3.3 Key Product/Services Offerings 94
13.3.4 SWOT Analysis 94
13.3.5 Key Financials 95
13.3.5.1 Revenue Split 96
13.3.6 Recent Developments 97
13.4 Becton Dickinson 98
13.4.1 Key Facts 98
13.4.2 Business Description 98
13.4.3 Key Product/Services Offerings (AI Technology) 99
13.4.4 SWOT Analysis 100
13.4.5 Key Financials 101
13.4.5.1 Revenue Split 102
13.4.6 Recent Developments 102
13.5 Boston Scientific Corporation 103
13.5.1 Key Facts 103
13.5.2 Business Description 103
13.5.3 Key Product/Services Offerings 104
13.5.4 SWOT Analysis 105
13.5.5 Key Financials 106
13.5.5.1 Revenue Split 107
13.5.6 Recent Developments 107
13.6 Koninklijke Philips N.V. 108
13.6.1 Key Facts 108
13.6.2 Business Description 108
13.6.3 Key Product/Services Offerings 109
13.6.4 SWOT Analysis 109
13.6.5 Key Financials 110
13.6.5.1 Revenue Split 111
13.6.6 Recent Developments 111
13.6.7 Funding 111
13.7 Roche Holding AG 112
13.7.1 Key Facts 112
13.7.2 Business Description 112
13.7.3 Key Product/Services Offerings 113
13.7.4 SWOT Analysis 114
13.7.5 Key Financials 115
13.7.5.1 Revenue Split 116
13.7.6 Recent Developments 116
13.7.7 Funding 116
13.8 Siemens Healthineers AG. 117
13.8.1 Key Facts 117
13.8.2 Business Description 117
13.8.3 Key Product/Services Offerings 118
13.8.4 SWOT Analysis 118
13.8.5 Key Financials 119
13.8.5.1 Revenue Split 120
13.8.6 Recent Developments 120
13.9 Stryker Corporation 121
13.9.1 Key Facts 121
13.9.2 Business Description 121
13.9.3 Key Product/Services Offerings 122
13.9.4 SWOT Analysis 123
13.9.5 Key Financials 124
13.9.5.1 Revenue Split 125
13.9.6 Recent Developments 125
13.10 Oracle Corporation 126
1.1.1 Key Facts 126
1.1.2 Business Description 126
1.1.3 Key Product/Services Offerings 127
1.1.4 SWOT Analysis 128
1.1.5 Key 128
1.1.6 Financials 129
13.10.1.1 Revenue Split 130
1.1.7 Recent Developments 130
List of Figures
FIG. 1 Research Methodology for AI in Healthcare Market Study 14
FIG. 2 Global Healthcare AI Market Size, 2018-2025 (US$ million) 24
FIG. 3 Market Introduction 25
FIG. 4 AI pros and advantages in Healthcare 26
FIG. 5 Growth in Global Healthcare Data, 2013 and prediction through 2020 (in Exabyte) 27
FIG. 6 Problems Paying Medical Bills in America by Insurance Status, 2017 (%) 28
FIG. 7 Global Physicians & Dentistry personnel density by Country (per 1000 population), 2016 30
FIG. 8 Pillars of Value Addition by AI in Healthcare 31
FIG. 9 Value Addition by AI in Healthcare 32
FIG. 10 Global Funding for AI/ML Digital Healthcare Company 2011-2017 36
FIG. 11 Value Proposition of Funding AI/ML Powered Digital Health Companies, 2011-2017 36
FIG. 12 Top Applications of AI in Healthcare to meet the increasing demand of AI in Healthcare 41
FIG. 13 Global Healthcare AI Market Share by Technology, 2018 & 2025 (%) 46
FIG. 14 Global Healthcare AI Market Size by Technology 2018-2025 (US$ million) 46
FIG. 15 Global Healthcare AI Market Share by Application, 2018 & 2025 (%) 52
FIG. 16 Global Healthcare AI Market Size by Application, 2018-2025 (US$ million) 52
FIG. 17 Global Healthcare AI Market Share by Type of Offering, 2018 & 2025 (%) 58
FIG. 18 Global Healthcare AI Market Size by Type of Offering 2018-2025 (US$ million) 58
FIG. 19 Global mHealth Apps by Category, 2016 (%) 60
FIG. 20 Global Mobile Health Market by Type, 2017 (US$ million) 62
FIG. 21 AI in Healthcare Market Share by Region, 2018 & 2025 (%) 64
FIG. 22 North America Healthcare AI Market Size 2018-2025 (US$ Million) 65
FIG. 23 North America Healthcare AI Market Size by Technology 2018-2025 (US$ Million) 66
FIG. 24 North America Healthcare AI Market Size by Application 2018-2025 (US$ Million) 67
FIG. 25 North America Healthcare AI Market Size by Type of Offerings 2018-2025 (US$ Million) 68
FIG. 26 Europe Healthcare AI Market Size 2018-2025 (US$ million) 69
FIG. 27 Europe Healthcare AI Market Size by Technology 2018-2025 (US$ Million) 69
FIG. 28 Europe Healthcare AI Market Size by Application 2018-2025 (US$ Million) 70
FIG. 29 Europe Healthcare AI Market Size by Type of Offerings 2018-2025 (US$ Million) 71
FIG. 30 Asia-Pacific Healthcare AI Market Size 2018-2025 (US$ million) 72
FIG. 31 Asia-Pacific Healthcare AI Market Size by Technology 2018-2025 (US$ Million) 72
FIG. 32 Asia-Pacific Healthcare AI Market Size by Application 2018-2025 (US$ Million) 73
FIG. 33 Asia-Pacific Healthcare AI Market Size by Type of Offerings 2018-2025 (US$ Million) 73
FIG. 34 RoW Healthcare AI Market Size 2018-2025 (US$ million) 74
FIG. 35 RoW Healthcare AI Market Size by Technology 2018-2025 (US$ Million) 75
FIG. 36 RoW Healthcare AI Market Size by Application 2018-2025 (US$ Million) 76
FIG. 37 RoW Healthcare AI Market Size by Type of Offerings 2018-2025 (US$ Million) 76
FIG. 38 Global Healthcare AI Market Share by Company, 2018 (%) 77
FIG. 39 Global Healthcare AI Market Competitive Landscape, 2018 79
FIG. 40 Porter's Five forces analysis of AI in Healthcare Market 80
FIG. 41 Medtronic plc. SWOT Analysis 85
FIG. 42 Key Financials of Medtronic 86
FIG. 43 Medtronic plc Revenue Split, 2018 87
FIG. 44 Abbott laboratories SWOT Analysis 90
FIG. 45 Key Financials of Abbott Lab 91
FIG. 46 Abbott Laboratories Revenue Split, 2017 92
FIG. 47 Johnson & Johnson SWOT Analysis 94
FIG. 48 Key Financials of Johnson and Johnson 95
FIG. 49 Johnson & Johnson Revenue Split, 2017 96
FIG. 50 Becton Dickinson SWOT Analysis 100
FIG. 51 Key Financials of Becton Dickinson 101
FIG. 52 Becton Dickinson Revenue Split, 2017 102
FIG. 53 Boston Scientific SWOT Analysis 105
FIG. 54 Key Financials Boston Scientific 106
FIG. 55 Boston Scientific Revenue Split, 2017 107
FIG. 56 Philips SWOT Analysis 109
FIG. 57 Key Financials of Koninklijke Philips N.V. 110
FIG. 59 Roche SWOT Analysis 114
FIG. 60 Key Financials of Roche 115
FIG. 61 Roche Revenue Split, 2017 116
FIG. 62 Siemens Healthcare SWOT Analysis 118
FIG. 63 Key Financials of Siemens Healthineers AG 119
FIG. 64 SIEMENS HEALTHINEERS, Revenue Split, 2018 120
FIG. 65 Stryker Corporation SWOT Analysis 123
FIG. 66 Key Financials of Stryker 124
FIG. 67 Stryker Corporation Revenue Split, 2018 125
FIG. 68 Oracle, SWOT Analysis 128
FIG. 69 Key Financials of Oracle 129
FIG. 70 Oracle Revenue Split, 2018 130
List of Tables
TABLE 1 Global Healthcare AI Market Size by Region 2018-2025 (US$ million) 24
TABLE 2 Recent Developments under Computing Power in Healthcare 29
TABLE 3 Recent Top Funding's in AI based Healthcare Start-Ups 44
TABLE 4 Global Machine Learning Market Size by Region, US$ Million (2018-2025) 48
TABLE 5 Global Deep Learning Market Size by Region, US$ Million (2018-2025) 49
TABLE 6 Global Artificial Neural Network Market Size by Region, US$ Million (2018-2025) 51
TABLE 7 Global AI Robotic Surgery Market Size by Region 2018-2025 (US$ Million) 54
TABLE 8 Global AI Diagnosis Market Size by Region 2018-2025 (US$ Million) 55
TABLE 9 Global AI Virtual Nursing Assistance Market Size by Region 2018-2025 (US$ million) 56
TABLE 10 Global AI Administrative Workflow Assistance Market Size by Region, 2018-2025 (US$ million) 57
TABLE 11 Global Healthcare AI Software Market Size by Region 2018-2025 (US$ million) 60
TABLE 12 Global Healthcare AI Services Market Size by Region 2018-2025 (US$ million) 62
TABLE 13 Global Healthcare AI Hardware Market Size, by Region 2018-2025 (US$ million) 63
TABLE 14 Global Healthcare AI Market Size by Region 2018-2025 (US$ Million) 64
TABLE 15 Medtronic Plc Key Facts 83
TABLE 16 Product segmentation of Medtronic Plc 84
TABLE 17 Medtronic plc Growth Strategy 84
TABLE 18 Abbott Laboratories Key Facts 89
TABLE 19 Product segmentation of Abbott Laboratories 90
TABLE 20 Abbott laboratories Growth Strategy 90
TABLE 21 Johnson & Johnson Key Facts 93
TABLE 22 Product segmentation of Johnson & Johnson 94
TABLE 23 Johnson & Johnson Growth Strategy 94
TABLE 24 Research & Development Expense, US$ million (2015-2017) 96
TABLE 25 Becton Dickinson Key Facts 98
TABLE 26 Becton Dickinson Growth Strategy 99
TABLE 27 Boston Scientific Corporation Key Facts 103
TABLE 28 Product segmentation of Boston Scientific Corporation 104
TABLE 29 Boston Scientific Corporation Growth Strategy 104
TABLE 30 Koninklijke Philips N.V. Key Facts 108
TABLE 31 Product segmentation of Philips 109
TABLE 32 Philips Growth Strategy 109
TABLE 33 Roche Key Facts 112
TABLE 34 Product segmentation of Roche 113
TABLE 35 Roche Growth Strategy 113
TABLE 36 Siemens Healthcare AG Key Facts 117
TABLE 37 Product segmentation of Siemens Healthcare 118
TABLE 38 Siemens Healthcare Growth Strategy 118
TABLE 39 Stryker Corporation Key Facts 121
TABLE 40 Product segmentation of Stryker Corporation 122
TABLE 41 Stryker Corporation Growth Strategy 122
TABLE 42 Oracle Corporation Key Facts 126
TABLE 43 Product segmentation of Oracle Corporation 127
TABLE 44 Oracle Growth Strategy 127
Medtronic Plc
Abbott Laboratories
Johnson & Johnson
Becton Dickinson
Boston Scientific Corporation
Koninklijke Philips N.V.
Roche Holding AG
Siemens Healthineers AG
Stryker Corporation
Oracle Corporation
Global Purple Fruits and Vegetables Mark..
The global market for Purple Fruits and Vegetables is estima..
+16467917070US (Toll Free)