The artificial intelligence (AI) healthcare market was valued at US$ 19.68 billion in 2023 and is projected to reach US$ 183.56 billion in sales by 2030, growing at a compound annual growth rate (CAGR) of 37.57%.
Unlocking Growth Prospects in the Artificial Intelligence in Healthcare Market Industry: A Thorough Examination
Take a voyage of discovery into the world of the “Artificial Intelligence in Healthcare Market”, as disclosed by the well-known international market research company Maximise Market Research. Their most recent analysis, which covers the forecast period through 2029, paints a positive picture of the Artificial Intelligence in Healthcare market vendors. Its pages contain information about the global Artificial Intelligence in Healthcare market’s growth drivers, major obstacles, impending difficulties, and current prospects. The study also provides a thorough analysis of important players and their tactical moves.
Extent and Approach:
With the help of a committed group of subject matter experts who are deeply involved in the Artificial Intelligence in Healthcare industry, as well as product dealers, suppliers, and worldwide market participants, Maximize Market Research painstakingly collected data through primary research surveys. With a bottom-up methodology, they calculated the Artificial Intelligence in Healthcare market size. The study also reveals current development initiatives in a number of industries, highlighting those that could have a favourable or negative effect on the global Artificial Intelligence in Healthcare industry.
For a detailed market analysis, please refer to the research report summary:
Exposing Growth Prospects in the Artificial Intelligence in Healthcare Market
Artificial Intelligence in Healthcare Market Size was worth US$ 19.68 Billion in 2023 and is expected to grow at a CAGR of 37.57% to an estimated revenue of US$ 183.56 Billion by 2030.
Dynamic Insights:
Within the report, the Artificial Intelligence in Healthcare market dynamics are dissected and elucidated, offering readers a nuanced understanding of emerging trends, drivers, restraints, opportunities, and challenges at both global and regional levels.
Artificial Intelligence in Healthcare Market Segmentation
by Offering
Hardware
Software
Services
Hardware:The hardware segment of the Artificial Intelligence in Healthcare Market includes the physical components such as servers, processors, memory devices, and specialized hardware accelerators designed specifically for AI tasks like deep learning and neural network processing.Software:The software segment comprises AI algorithms, platforms, and applications developed for various healthcare tasks such as medical imaging analysis, patient data management, drug discovery, personalized treatment planning, and predictive analytics.Services:The services segment encompasses AI-related consulting, integration, customization, training, and support services provided by vendors, system integrators, and consulting firms to healthcare organizations adopting AI technologies.
by Technology
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
Machine Learning:Machine learning technology utilizes algorithms that enable computer systems to learn from data, recognize patterns, and make predictions or decisions without being explicitly programmed. In healthcare, machine learning is applied in medical imaging analysis, clinical decision support, predictive analytics, and personalized medicine.Natural Language Processing (NLP):Natural language processing technology enables computers to understand, interpret, and generate human language, facilitating tasks such as speech recognition, language translation, and text analysis in healthcare applications like electronic health records (EHRs), clinical documentation, and virtual health assistants.Computer Vision:Computer vision technology enables computers to interpret and analyze visual information from images or videos, allowing for applications such as medical imaging analysis, diagnostic imaging, pathology, surgical assistance, and remote patient monitoring in healthcare.
by Application
Robot-Assisted Surgery
Virtual Nursing Assistant
Administrative Workflow Assistance
Fraud Detection
Dosage Error Reduction
Medical Imaging & Diagnosis
Drug Discovery & Development
Others
Medical Imaging & Diagnostics:AI applications in medical imaging and diagnostics involve the analysis and interpretation of medical images (e.g., X-rays, MRI, CT scans) to assist radiologists and clinicians in detecting abnormalities, diagnosing diseases, and planning treatments.Drug Discovery & Development:AI applications in drug discovery and development utilize computational methods to analyze biological data, identify drug targets, design novel compounds, and optimize drug candidates, accelerating the drug discovery process and reducing development costs.Clinical Decision Support:AI applications in clinical decision support involve the use of AI algorithms to analyze patient data, medical literature, and clinical guidelines to assist healthcare providers in making evidence-based decisions regarding diagnosis, treatment planning, and patient management.
by End-User
Hospitals & Healthcare Providers
Pharmaceutical & Biotechnology Company
Healthcare Payers
Patients
Others
Hospitals & Clinics:Hospitals and clinics are major end-users of AI in healthcare, deploying AI technologies for various applications such as medical imaging, clinical decision support, electronic health records (EHRs), patient monitoring, and telemedicine to improve patient care and operational efficiency.Diagnostic Centers:Diagnostic centers utilize AI technologies for medical imaging analysis, diagnostic testing, pathology, and laboratory services to enhance diagnostic accuracy, speed up turnaround times, and improve patient outcomes.Pharmaceutical & Biotechnology Companies:Pharmaceutical and biotechnology companies leverage AI in drug discovery, preclinical research, clinical trials, pharmacovigilance, and personalized medicine to accelerate drug development, enhance therapeutic efficacy, and optimize patient outcomes.Research Institutions & Academic Centers:Research institutions and academic centers conduct AI research and development in healthcare, exploring new algorithms, technologies, and applications to advance medical knowledge, improve patient care, and train the next generation of healthcare professionals.
Regional Perspectives:
Explore detailed region-wise analyses of the Artificial Intelligence in Healthcare market, delving into market dynamics, regional structures, and key players across North America, Asia Pacific, Europe, Latin America, the Middle East, and Africa.
Curious about the content? Explore a sample copy of this report:
Highlight of Major Players:
IBM Corporation
Modernizing Medicine
NVIDIA Corporation
Sophia Genetics
Intel Corporation
Koninklijke Philips N.V.
Microsoft
Siemens Healthineers
Google Inc.
General Electric Company
Medtronic
Micron Technology, Inc.
Amazon Web Services (AWS)
Johnson & Johnson Services, Inc.
Arterys Inc.
DeepMind Technologies (a subsidiary of Alphabet Inc.)
Verily Life Sciences (a subsidiary of Alphabet Inc.)
Tencent Holdings Limited
Roche Holding AG
3M Health Information Systems
Ayasdi AI
Table of Content: Artificial Intelligence in Healthcare
Part 01: Executive Summary
Part 02: Scope of the Artificial Intelligence in Healthcare Report
Part 03: Artificial Intelligence in Healthcare Landscape
Part 04: Artificial Intelligence in Healthcare Sizing
Part 05: Artificial Intelligence in Healthcare Segmentation by Type
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
Read More :www.maximizemarketresearch.com/request…mple/21261
key questions answered within the report:
- Anticipated Artificial Intelligence in Healthcare market size in 2029
- Development projections for major segments during the forecast period
- Identification of top suppliers and producers in the Artificial Intelligence in Healthcare industry
- Expected Artificial Intelligence in Healthcare market size by the end of the forecast period
- Regional market dominance in 2022
- Key players shaping the Artificial Intelligence in Healthcare industry
- Segmentation breakdown within the Artificial Intelligence in Healthcare market
- High-growth segments expected during the forecast period
Exclusive Offerings:
- Historical market size and competitive landscape from 2018 to 2022
- Pricing trends across regions during the same period
- Forecasts for market size, share, and dynamics from 2023 to 2029
- Detailed market segmentation analysis by application, technology, type, end-user, and region
- Profiles of key players from a strategic perspective, alongside competitive landscape analysis
- Comprehensive tools such as PESTLE and PORTER’s analysis, value chain and supply chain analysis, and legal considerations by region
- Lucrative business opportunities revealed through SWOT analysis
- Actionable recommendations to navigate the evolving landscape of the Artificial Intelligence in Healthcare Market
Conclusion:
With Maximize Market Research’s insightful report, stakeholders are equipped with the knowledge and strategic insights necessary to capitalize on the burgeoning opportunities within the dynamic Artificial Intelligence in Healthcare market. Dive deep into the realms of market dynamics, competitive landscapes, and strategic recommendations, guiding your journey towards success in this evolving industry landscape.
News From
Category: Market Research Publishers and Retailers Profile: Established in 2017, Maximize Market Research is India Based consulting and advisory firm focused on helping clients to reach their business transformation objectives with advisory services and strategic business. The company’s vision is to be an integral part of the client’s business as a strategic knowledge partner. Maximize Market Research provides end-to-end solutions that go beyond key research technologies to help executives in any organization achieve their mission-critical goals. …
For more information: