The Generative AI In Healthcare Market is being driven by Pressing need to enhance operational efficiency and alleviate clinician burnout
The Generative AI In Healthcare Market is expected to grow at a CAGR of 38.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 9378.4 million. The generative AI market in healthcare is witnessing a notable transition from mono-modal, text-focused models to advanced multimodal systems. These state-of-the-art models can simultaneously process, analyze, and generate insights from a wide range of data types, such as unstructured text from electronic health records (EHRs), structured lab results, medical images like X-rays and MRIs, genomic sequences, and even audio from patient consultations. This evolution marks a significant departure from earlier AI applications, which were confined to a singular data domain. Multimodal AI systems replicate the intricate decision-making process of human clinicians, who integrate information from multiple sources to devise comprehensive diagnostic and treatment strategies.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
230 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 38.7% |
Market growth 2025-2029 |
USD 9378.4 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
35.9 |
Key countries |
China, Japan, South Korea, India, Germany, UK, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the healthcare sector, Generative AI is revolutionizing various applications, including Natural Language Processing (NLP) for healthcare data analysis, AI in radiology for medical image processing, and patient engagement tools for improved communication. AI models generate insights from complex data, ensuring data security, automating workflows, and enhancing clinical trials with predictive analytics, real-world evidence, and regulatory compliance. Generative AI also drives therapeutic innovations, such as drug repurposing, diagnostic accuracy improvement, and personalized cancer treatment, while addressing concerns like bias mitigation, explainability, and healthcare cost reduction. Additionally, it aids in clinical trial recruitment, disease pathway analysis, adverse event detection, and regulatory compliance for medical devices.
In the expansive IT software industry, the global application software market represents a significant segment, encompassing businesses specializing in the creation and distribution of software solutions for specific business or consumer applications. This sector comprises enterprise and technical software, as well as cloud-based solutions, excluding those classified under interactive home entertainment or systems software. According to Technavio's market analysis, the application software market size is determined by aggregating the revenues of companies providing all types of software, including cloud services. Large language models, natural language processing, machine learning algorithms, and deep learning applications are essential components of advanced application software, driving innovation and growth within the healthcare sector.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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