Artificial Intelligence in Healthcare Market Report Probes the Size, Growth, Opportunities and Trends: Global Industry Analysis and Forecast 2024-2030

The Artificial Intelligence in Healthcare Market was worth $19.68 billion in 2023 and is predicted to increase at a 37.57% CAGR to $183.56 billion by 2030.

Overview of the Artificial Intelligence in Healthcare Market:

This research provides an in-depth study of the "Artificial Intelligence in Healthcare Market" industry, focusing on major drivers, challenges, and opportunities. It offers insights into market size estimates, growth projections, and regional dynamics.

The methodology uses a bottom-up approach to market estimation, drawing on both primary and secondary data sources.

Evaluation and Market Development:

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.

Market Extent and Techniques:

This research explores the main forces, obstacles, and constraints that are affecting the Artificial Intelligence in Healthcare Market. It provides estimates of the market's size and growth over the course of the forecast period.

Examining variables including market size, growth rates, and regional import-export dynamics, regional analysis is done locally, regionally, and globally. A number of factors are taken into consideration when identifying key players, including as revenue, product offers, technical developments, and strategic efforts.

Using primary and secondary data sources, the research uses a bottom-up approach to estimate the market. Industry executives are surveyed, questioned, and interviewed to obtain primary data.

Annual reports, trade magazines, official websites, and white papers are the sources of secondary data.

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Setting Up the Market for Artificial Intelligence in Healthcare :

by Offering

Hardware
Software
Services

Software Solutions:Software solutions comprise AI algorithms, platforms, and applications designed to analyze, interpret, and derive insights from healthcare data. These solutions include machine learning algorithms, natural language processing (NLP) tools, predictive analytics software, and deep learning frameworks tailored for healthcare applications such as diagnostics, personalized medicine, clinical decision support, and population health management.Hardware:Hardware offerings consist of computing infrastructure, processing units, and storage devices optimized for AI workloads in healthcare environments.

These include graphics processing units (GPUs), central processing units (CPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs) deployed in data centers, cloud platforms, edge devices, and medical imaging systems to support AI algorithms and applications.Services:Services encompass consulting, implementation, integration, training, support, and managed services provided by AI vendors, system integrators, and healthcare organizations to deploy and optimize AI solutions in clinical workflows. These services include data preparation, model development, deployment, performance monitoring, compliance management, and continuous improvement to ensure the successful adoption and utilization of AI technologies in healthcare settings.

by Technology

Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision

By Technology: The Artificial Intelligence in Healthcare Market Segmentation is done based on technology, encompassing various tools and techniques that drive innovation in the industry. The use of algorithms to help AI systems learn from data, find patterns, and make predictions is very significant.

So, a segment called Machine Learning was introduced. The use of machine learning in healthcare has been transformative, which offers many new ways to diagnose, treat, and manage diseases along with the improvement of the overall patient experience and streamline healthcare operations.

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 and Diagnostics:Medical imaging and diagnostics applications utilize AI algorithms to analyze and interpret medical images, including X-rays, MRI scans, CT scans, ultrasound images, and pathology slides, for disease detection, diagnosis, and treatment planning. AI-powered imaging solutions enhance accuracy, efficiency, and speed in radiology, cardiology, oncology, neurology, and other medical specialties, assisting clinicians in detecting abnormalities, identifying patterns, and making clinical decisions.Drug Discovery and Development:Drug discovery and development applications leverage AI techniques such as virtual screening, molecular modeling, predictive analytics, and drug repurposing to accelerate the identification, optimization, and validation of novel therapeutic compounds and drug candidates.

AI-driven drug discovery platforms enable pharmaceutical companies, biotech firms, and research institutions to reduce time-to-market, lower costs, and improve success rates in drug development pipelines for various diseases and conditions.Clinical Decision Support:Clinical decision support (CDS) applications integrate AI algorithms with electronic health records (EHRs), medical databases, and clinical guidelines to provide evidence-based recommendations, alerts, and insights to healthcare providers at the point of care. AI-driven CDS systems assist clinicians in diagnosis, treatment planning, medication selection, and disease management, improving patient outcomes, reducing medical errors, and enhancing quality of care across healthcare settings.Personalized Medicine and Treatment:Personalized medicine and treatment applications utilize AI-driven predictive analytics, genomics, and patient data analysis to tailor healthcare interventions, therapies, and treatment plans to individual patient characteristics, preferences, and genetic profiles.

AI-powered personalized medicine solutions enable precision medicine approaches in oncology, cardiology, immunology, and other therapeutic areas, optimizing treatment efficacy, minimizing adverse reactions, and improving patient satisfaction.

by End-User

Hospitals & Healthcare Providers
Pharmaceutical & Biotechnology Company
Healthcare Payers
Patients
Others

By End-User: The Artificial Intelligence in Healthcare Market Segmentation is done based on End-Users, encompassing various stakeholders who leverage AI technologies to enhance healthcare delivery and outcomes. One key segment is Healthcare Providers, which includes hospitals, clinics, and medical practitioners who adopt AI systems for improved diagnostics, personalized treatment planning, and streamlined operations.

Pharmaceutical and Biotechnology Companies form another segment, utilizing AI in drug discovery, clinical trial optimization, and precision medicine research.

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Market Regional Insights:

The Artificial Intelligence in Healthcare market spans across North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. Regional analysis provides a comprehensive evaluation of market dynamics, size, growth rates, and import-export dynamics.

The scrutiny extends to local and country levels to ensure a thorough understanding of each segment's nuances.

Leading Entities in the Artificial Intelligence in Healthcare Market Sector

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

List of Contents : Artificial Intelligence in Healthcare Market

Part 01: Executive Summary

Part 02: Scope of the Artificial Intelligence in Healthcare Market Report

Part 03: Artificial Intelligence in Healthcare Market Landscape

Part 04: Artificial Intelligence in Healthcare Market Sizing

Part 05: Artificial Intelligence in Healthcare Market 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

For more details about the study, please go here:www.maximizemarketresearch.com/request…mple/21261  

Key questions addressed in the report include:

• What is Artificial Intelligence in Healthcare?
• What was the Artificial Intelligence in Healthcare market size in 2022?
• What are the different segments of the Artificial Intelligence in Healthcare Market?
• What growth strategies are being considered by players to enhance their presence in Artificial Intelligence in Healthcare?
• What are the upcoming industry applications and trends for the Artificial Intelligence in Healthcare Market?
• What recent industry trends can be leveraged to generate additional revenue streams for the Artificial Intelligence in Healthcare Market?
• Who are the leading companies and what are their portfolios in the Artificial Intelligence in Healthcare Market?
• What segments are covered in the Artificial Intelligence in Healthcare Market?
• Who are the key players in the Artificial Intelligence in Healthcare market?

Key Offerings

• Historical Market Size and Competitive Landscape (2018 to 2021)
• Pricing and price curve analysis by region (2018 to 2021)
• Market Size, Share, and Forecast by different segments for 2023−2029
• Market Dynamics covering Growth Drivers, Restraints, Opportunities, and Key Trends by Region
• Market Segmentation with detailed analysis by segment and sub-segments
• Competitive Landscape profiling selected key players from a strategic perspective, including Market Leaders, Followers, and Regional players
• Competitive benchmarking of key players by region
• PESTLE Analysis
• PORTER’s Analysis
• Value chain and supply chain analysis
• Legal Aspects of Business by Region
• Identification of Lucrative business opportunities with SWOT analysis
• Recommendations for strategic actions and future market endeavors.

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