Generative AI In Medicine Market 2024-2033: Technological Advancements, Competitive Landscape and Strategies

The generative ai in medicine global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Generative AI In Medicine Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size –
The generative artificial intelligence (AI) in medicine market size has grown exponentially in recent years. It will grow from $0.46 billion in 2023 to $0.66 billion in 2024 at a compound annual growth rate (CAGR) of 43.5%. The growth in the historic period can be attributed to a rise in computational power and machine learning algorithms, growth in precision medicine, increasing demand for drug discovery, rise in adoption of AI for diagnostic imaging, and growth in investment in AI research and development.
The generative artificial intelligence (AI) in medicine market size is expected to see exponential growth in the next few years. It will grow to $2.81 billion in 2028 at a compound annual growth rate (CAGR) of 43.6%. The growth in the forecast period can be attributed to the increasing availability of high-quality medical data, growing focus on preventive healthcare, growing need for efficient clinical trials, increasing demand for AI-enhanced patient engagement tools, and rising use of AI for drug repurposing. Major trends in the forecast period include technological advancements, telemedicine, personalized medicine, predictive analytics, and wearable health technology.

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Scope Of Generative AI In Medicine Market
The Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Generative AI In Medicine Market Overview

Market Drivers –
The surge in digital health records is expected to propel the growth of generative artificial intelligence (AI) in medicine market going forward. Digital health records, or electronic health records (EHRs), are systematic collections of patient health information stored electronically, enabling sharing across healthcare settings and improving the efficiency and quality of patient care. The surge in digital health records is driven by improved patient care, increased efficiency in healthcare delivery, regulatory support and incentives, advancements in technology, and enhanced patient engagement and empowerment. Artificial intelligence (AI) in medicine enhances digital health records by automating documentation, structuring data, providing predictive insights, and generating personalized summaries to improve accuracy, accessibility, and overall patient care. For instance, in July 2024, according to the European Commission, a Belgium-based executive branch of the European Union, the access to electronic health records score increased to 79% in 2024 from 72% in 2023. Therefore, the surge in digital health records is driving generative artificial intelligence (AI) in medicine market.

Market Trends –
Major companies operating in the generative artificial intelligence (AI) in medicine market are focused on developing innovative technologies, such as AI solutions for brain health and wellness, to advance cognitive assessment, improve patient care, and enhance overall mental health management. AI solutions for brain health and wellness are advanced artificial intelligence technologies designed to assess, monitor, and improve cognitive function and mental well-being. For instance, in February 2024, DiagnaMed Holdings Corp., a Canada-based company focused on developing AI-powered digital therapeutics, launched CERVAI, the first AI solution for human mental health and wellness. This innovative solution leverages advanced artificial intelligence to evaluate cognitive function and brain wellness comprehensively. Its key features include cutting-edge algorithms that analyze diverse data inputs, including cognitive tests and brain imaging, to provide accurate insights into mental health conditions. The tool offers personalized assessments and actionable recommendations, enabling early detection of cognitive issues and tailored interventions.

The generative AI in medicine market covered in this report is segmented –

1) By Component: Solutions, Service
2) By Function: Virtual Nursing Assistants, Robot-Assisted AI Surgery, Administrative Process Optimization, Medical Imaging Analysis
3) By Application: Medical Imaging, Drug Discovery, Medical Diagnosis, Patient Data Analysis, Other Applications
4) By End-User: Hospitals And Clinics, Clinical Research, Healthcare Organizations, Diagnostic Centers, Other End-Users

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Regional Insights –
North America was the largest region in the generative artificial intelligence (AI) in medicine market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in medicine market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies –
Major companies operating in the generative AI in medicine market are Microsoft Corporation, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Philips Healthcare, Veeva Systems Inc., Nuance Communications Inc., Babylon Health Ltd., Tempus Labs Inc., DeepMind Technologies Limited, Owkin Inc., Viz.AI inc., Recursion Pharmaceuticals Inc., Caresyntax Inc., Relay Therapeutics Inc., Exscientia plc, Paige AI inc., BenevolentAI Limited, Atomwise Inc., Healx Ltd., Zebra Medical Vision Ltd., Eyenuk Inc., Syntegra Ltd., Arterys Inc.< /b>

Table of Contents
1. Executive Summary
2. Generative AI In Medicine Market Report Structure
3. Generative AI In Medicine Market Trends And Strategies
4. Generative AI In Medicine Market – Macro Economic Scenario
5. Generative AI In Medicine Market Size And Growth
…..
27. Generative AI In Medicine Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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