Generative AI in Healthcare Market Report: Research Insights and Growth Forecast (2024-2031) | IBM, Google LLC, Microsoft.

The Global Generative AI in Healthcare Market reached US$ 1.75 billion in 2023 and is expected to reach US$ 20.01 billion by 2031, growing at a CAGR of 35.8% during the forecast period 2024-2031.

Generative AI in Healthcare Market analysis, according to DataM Intelligence, offers more than just an overview, it investigates the underlying aspects of the sector. The study provides an overview, the research explores the hidden aspects of the sector, breaking down its intricate dynamics, charting regional dominance, spotting demand patterns, and spotting prospective breakthroughs that could influence how businesses operate in the future.

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The Generative AI in Healthcare market report majorly focuses on market trends, historical growth rates, technologies, and the changing investment structure. Additionally, the report shows the latest market insights, increasing growth opportunities, business strategies, and growth plans adopted by major players. Moreover, it contains an analysis of current market dynamics, future developments, and Porter's Five Forces Analysis.

The Generative AI in Healthcare Market focuses on the application of artificial intelligence technologies that generate new data, insights, and solutions for improving patient care, diagnosis, and treatment planning. Key uses include drug discovery, personalized medicine, medical imaging, and virtual healthcare assistants. The market is driven by advancements in AI algorithms, increasing demand for innovative healthcare solutions, and the need for more efficient, data-driven healthcare practices.

Forecast Growth Projected:

The Global Generative AI in Healthcare Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

List of the Key Players in the Generative AI in Healthcare Market:

IBM, Google LLC, Microsoft, OpenAI, NVIDIA Corporation, Oracle, Johnson & Johnson Services, Inc., NioyaTech., and Saxon. Among others.

Segment Covered in the Generative AI in Healthcare Market:

By Application: Diagnostics & Medical Imaging, Drug Discovery & Development, Personalized Treatment, Patient Monitoring & Predictive Analytics, Others.

By End-User: Hospitals & Clinics, Healthcare Organizations, Diagnostic Centers, Others.

Industry Development:

In October 2024, Microsoft announced major advancements in its Cloud for Healthcare offerings, unveiling several artificial intelligence enhancements designed to improve healthcare delivery. These updates include new healthcare AI models in Azure AI Studio, upgraded data capabilities in Microsoft Fabric, and developer tools within Copilot Studio. Many of these innovations are currently available in preview mode, giving early adopters the opportunity to explore their features and functionalities.

In March 2024, NVIDIA Healthcare introduced a suite of generative AI microservices focused on advancing drug discovery, medical technology (MedTech), and digital health. This initiative includes 25 new cloud-agnostic microservices, empowering healthcare developers to leverage cutting-edge advancements in generative AI for applications in biology, chemistry, imaging, and healthcare data management.

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Regional Break out:

The global Generative AI in Healthcare Market report focuses on six major regions: North America, South America, Europe, Asia Pacific, the Middle East, and Africa.

☞ North America - US, Canada, Mexico

☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe

☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific

☞ South America- Brazil, Argentina, Colombia, Rest of South America

☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel

Chapter Outline:

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: key insights, key emerging trends, etc.

Chapter 3: Manufacturers competitive analysis, detailed analysis of Generative AI in Healthcare manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 5 & 6: Revenue of Generative AI in Healthcare in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 10: The main points and conclusions of the report.

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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of Generative AI in Healthcare market?

➠ Who are the global key manufacturers of the Generative AI in Healthcare Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the Generative AI in Healthcare market opportunities and threats faced by the vendors in the global Generative AI in Healthcare Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the Generative AI in Healthcare market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

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