医療における人工知能の北米市場2020-2190

◆英語タイトル:NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FORECAST 2020-2028
◆商品コード:INK20MY241
◆発行会社(リサーチ会社):Inkwood Research
◆発行日:2020年4月
◆ページ数:165
◆レポート言語:英語
◆レポート形式:PDF
◆納品方法:Eメール
◆調査対象地域:北米
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【レポートの概要】

KEY FINDINGSThe North America artificial intelligence in healthcare market is estimated to register growth at a CAGR of 38.40% during the forecast period, 2020-2028. The utilization of big data analytics in the healthcare sector is a component of artificial intelligence. This further propels the growth of AI in healthcare in maintaining the databases of patients. The big data analytics aids the medical experts and doctors in the treatment, and in exhibiting the healthcare data to the government. Such factors drive the overall market growth in the region.

MARKET INSIGHTS
The North America artificial intelligence in healthcare market growth analysis involves the market assessment of Canada and the United States. In Canada, the growing investments in the research & development activities to encourage the adoption of artificial intelligence, is one of the key drivers of market growth. The major organizations present in the region, like ICM Corporation and Stryker Corporation, are inclining towards the innovation and development of new technologies and products with regard to AI in healthcare. According to the National Institute of Health, Deep Genomics, an organization based in Canada, utilizes artificial intelligence technology for personalized medicines. The company has also launched a machine learning system that is capable of predicting the molecular effects of genetic variation, which has been a trend that is catching up fast in the Canadian market.

COMPETITIVE INSIGHTS
Some of the eminent companies leading in the market are GE Healthcare, Enlitic Inc, General Vision Inc, Deep Genomics Inc, Google, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation cater to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

【レポートの目次】

1. RESEARCH SCOPE & METHODOLOGY
1.1. STUDY OBJECTIVES
1.2. SCOPE OF STUDY
1.3. METHODOLOGY
1.4. ASSUMPTIONS & LIMITATIONS
2. EXECUTIVE SUMMARY
2.1. MARKET SIZE & ESTIMATES
2.2. MARKET OVERVIEW
3. MARKET DYNAMICS
3.1. DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE
3.2. MARKET DEFINITION
3.3. KEY DRIVERS
3.3.1. RISE OF BIG DATA IN HEALTHCARE INDUSTRY
3.3.2. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION MAKING
3.3.3. INCREASING USE OF AI IN GENETICS
3.3.4. AI CREATING A REAL-TIME MONITORING SYSTEM
3.3.5. HEALTHCARE WEARABLES PLAYING AN IMPORTANT ROLE IN MONITORING
3.4. KEY RESTRAINTS
3.4.1. SLOW ADOPTION OF AI BASED TECHNOLOGIES
3.4.2. AMBIGUOUS REGULATORY GUIDELINES FOR MEDICAL SOFTWARE
3.4.3. CHALLENGE TO MAINTAIN DATA SECURITY
3.4.4. LACK OF USABLE DATA IN HEALTHCARE
4. KEY ANALYTICS
4.1. KEY INVESTMENT INSIGHTS
4.2. PORTER’S FIVE FORCE ANALYSIS
4.2.1. BUYER POWER
4.2.2. SUPPLIER POWER
4.2.3. SUBSTITUTION
4.2.4. NEW ENTRANTS
4.2.5. INDUSTRY RIVALRY
4.3. OPPORTUNITY MATRIX
4.4. VENDOR LANDSCAPE
4.5. VALUE CHAIN ANALYSIS
4.5.1. DATA WAREHOUSE
4.5.2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
4.5.3. SOFTWARE DEVELOPMENT
4.6. KEY BUYING CRITERIA
4.6.1. APPLICATION
4.6.2. TECHNOLOGY
4.6.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
4.7. REGULATORY FRAMEWORK
5. MARKET BY OFFERINGS
5.1. HARDWARE
5.2. SOFTWARE
5.3. SERVICES
6. MARKET BY TECHNOLOGY
6.1. DEEP LEARNING
6.2. QUERYING METHOD
6.3. NATURAL LANGUAGE PROCESSING
6.4. CONTEXT AWARE PROCESSING
7. MARKET BY END USER
7.1. ACOS AND MCOS
7.2. PATIENTS
7.3. PAYERS
7.4. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
7.5. PROVIDERS
8. MARKET BY APPLICATION
8.1. REAL-TIME MONITORING
8.2. PRECISION MEDICINE
8.3. PERSONAL HEALTH AND NURSING ASSISTANTS
8.4. DRUG DEVELOPMENT AND DISCOVERY
8.5. ROBOT-ASSISTED SURGERY
8.6. ADMINISTRATIVE WORKFLOW ASSISTANCE
8.7. CLINICAL TRIALS
8.8. DIAGNOSTIC AND CLINICAL DECISION SUPPORT
8.9. OTHERS
9. GEOGRAPHICAL ANALYSIS
9.1. NORTH AMERICA
9.1.1. UNITED STATES
9.1.2. CANADA
10. COMPANY PROFILES
10.1. DEEP GENOMICS INC
10.2. ENLITIC INC
10.3. GE HEALTHCARE
10.4. GENERAL VISION INC
10.5. GOOGLE
10.6. IBM CORPORATION
10.7. ICARBONX
10.8. INTEL CORPORATION
10.9. MICROSOFT CORPORATION
10.10. NEXT IT CORPORATION
10.11. NVIDIA CORPORATION
10.12. ONCORA MEDICAL
10.13. RECURSION PHARMACEUTICALS INC
10.14. STRYKER CORPORATION
10.15. WELLTOK INC



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