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Artificial Intelligence (AI) in Healthcare - Thematic Intelligence

Publisher GlobalData
Published Jul 04, 2023
Length 91 Pages
SKU # GBDT18089839

Description

Artificial Intelligence (AI) in Healthcare - Thematic Intelligence


Summary

Triple-digit growth in AI is expected by 2030Artificial intelligence (AI) is a fast-growing industry. GlobalData expects every segment of the AI market to grow over the next decade. According to GlobalData forecasts, the AI market was worth $81.3 billion in 2022. By 2030, it will have grown at a compound annual growth rate (CAGR) of 35.2% to $908.7 billion. AI consulting and support services and AI conversational platforms will drive market growth, bolstered by the adoption and increased interest in generative AI.

Scope
  • This report is a thematic brief, which identifies those companies most likely to succeed in a world filled with disruptive threats. Inside, we predict how each theme will evolve and identify the leading and disrupting companies.
  • The report covers the artificial intelligence theme.
Reasons to Buy
  • GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying the important themes early, enabling companies to make the right investments ahead of the competition, and secure that all-important competitive advantage.
  • Develop and design your corporate strategies through an in-house expert analysis of artificial intelligence by understanding the primary ways in which this theme is impacting the healthcare industry.
  • Stay up to date on the industry’s major players and where they sit in the value chain.
  • Identify emerging industry trends to gain a competitive advantage.

Table of Contents

91 Pages
Executive Summary
Players
Healthcare Challenges
The Impact of AI on Healthcare’s Challenges
How AI helps resolve the challenge of drug discovery and development
How AI helps resolve the challenge of low success rates of clinical trials
How AI helps resolve the challenge of staff and skills shortages
How AI helps resolve the challenge of supply chain disruption
How AI helps resolve the challenge of medical imaging and diagnosis
The AI Impact Assessment
Healthcare providers, payors, service providers, and suppliers
Pharma
Medical devices
Barriers to the uptake of generative AI
Case Studies
Alto Neuroscience uses AI to develop brain biomarkers
Nabla uses GPT-3 to power its healthcare assistant platform, Copilot
Harvard Medical School researchers use AI to turn low-field strength MRI scans into high-resolution brain images
BenchSci uses AI to map diseases for preclinical drug discovery
King’s College London researchers create AI-model to predict cancer spread
AI Timeline
Market Size and Growth Forecasts
Signals
Mergers and acquisitions (M&A)
Partnerships
Company filings trends
Hiring trends
Social media trends
AI Value Chain
Hardware
Semiconductors
Cameras
Sensors and lasers
Servers
Storage devices
Networking equipment
Edge equipment
Data management
Data governance and security
Data storage
Data processing
Data aggregation
Data integration
Foundational AI
Data science
Machine learning
3D modeling
Knowledge representation and reasoning
Visualization engines
Advanced AI capabilities
Human-AI interaction
Decision-making
Motion
Creation (also known as generative AI)
Sentience
Delivery
Hardware appliance
Licensed software
Artificial intelligence as a service
Companies
Leading AI adopters in healthcare
Leading AI vendors
Specialist AI vendors in healthcare
Sector Scorecards
Drug development sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Medical devices sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Glossary
Further Reading
GlobalData reports
Bibliography
Our Thematic Research Methodology
About GlobalData
Contact Us
List of Tables
Table 1: Key challenges facing the healthcare sector
Table 2: Key M&A transactions associated with the AI theme since January 2022
Table 3: Key M&A transactions associated with the AI theme in healthcare since January 2022
Table 4: Partnerships
Table 5: Leading AI adopters in healthcare
Table 6: Leading AI vendors
Table 7: Specialist AI vendors in healthcare
Table 8: Glossary
Table 9: GlobalData reports
List of Figures
Figure 1: Key players in AI in healthcare
Figure 2: AI will be the most disruptive technology in the next two years in the healthcare sector
Figure 3: Thematic impact assessment for healthcare providers, payors, service providers, and suppliers
Figure 4: Thematic impact assessment for pharma
Figure 5: Generative AI is transforming drug development and discovery
Figure 6: Thematic impact assessment for medical devices
Figure 7: Poll respondents can see the potential of generative AI in the medical devices industry
Figure 8: Barriers to the integration of generative AI in the pharma, medical devices, and healthcare sectors
Figure 9: Input scan vs. SynthSR high-resolution T1 scans
Figure 10: The AI story
Figure 11: The AI market will be worth $908.7 billion by 2030
Figure 12: Mentions of AI by healthcare companies increased from 2016, peaking in 2021 at 1,737
Figure 13: AI-related hiring activity across healthcare has increased since the start of the COVID-19 pandemic
Figure 14: Pharma and medical device companies are active hirers in AI
Figure 15: AI-related social media activity in healthcare increased since 2020
Figure 16: The AI value chain - An overview
Figure 17: The AI value chain - Hardware - semiconductors
Figure 18: The AI value chain - Hardware - cameras
Figure 19: The AI value chain - Hardware – sensors and lasers
Figure 20: The AI value chain - Hardware – servers
Figure 21: The AI value chain - Hardware – storage devices
Figure 22: The AI value chain - Hardware – networking equipment
Figure 23: The AI value chain - Hardware – edge equipment
Figure 24: The AI value chain - Data management
Figure 25: The AI value chain - Foundational AI – data science
Figure 26: The AI value chain - Foundational AI – machine learning
Figure 27: The AI value chain - Foundational AI – 3D modeling
Figure 28: The AI value chain - Foundational AI – knowledge representation and reasoning
Figure 29: The AI value chain - Foundational AI – visualization engines
Figure 30: The AI value chain - Advanced AI capabilities– human-AI interaction
Figure 31: The AI value chain - Advanced AI capabilities– decision-making
Figure 32: The AI value chain - Advanced AI capabilities– motion
Figure 33: The AI value chain - Advanced AI capabilities– creation
Figure 34: The AI value chain - Advanced AI capabilities– sentience
Figure 35: The AI value chain - Delivery
Figure 36: Who does what in the drug development space?
Figure 37: Thematic screen - Drug development sector scorecard
Figure 38: Valuation screen - Drug development sector scorecard
Figure 39: Risk screen - Drug development sector scorecard
Figure 40: Who does what in the medical devices space?
Figure 41: Thematic screen - Medical devices sector scorecard
Figure 42: Valuation screen - Medical devices sector scorecard
Figure 43: Risk screen - Medical devices sector scorecard
Figure 44: Our five-step approach for generating a sector scorecard

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