Search results for: 'SYSTEMS AND METHODS FOR AI-ASSISTED SURGERY'

Assisted reproductive technology (ART) includes advanced fertility treatments and procedures, such as the manipulation of eggs, sperm, or embryos to increase the chances of a successful pregnancy. This study primarily examines the market for in vitro fertilization (IVF), a common ART procedure. It highlights innovations around the pre-implantation ...

Frost & Sullivan estimates the aging population and accompanying retirements to cause a significant physician shortfall of 55,000 to 150,000 by 2030, creating a gap in the healthcare system. Expanding the role of autonomous robots can mitigate the shortage. The healthcare sector is forecast to expand rapidly with the decentralization of institu...

This Frost & Sullivan analysis examines the clinical next-generation sequencing (NGS) industry, covering the different type of products, workflows, and applications for clinical purposes. The global market is projected to grow steadily from 2024 to 2030, achieving significant revenue milestones, driven largely by services and informatics segments. ...

Agentic AI is redefining the enterprise AI landscape by moving beyond traditional and generative models toward autonomous systems that can reason, plan, and act across complex workflows. Enterprises are increasingly moving from experimentation to production-grade AI deployments, embedding agents within workflows, customer journeys, and IT operation...

07 Oct 2025  |  Global  |  Market Research

Industrial Hybrid AI Market, Global, 2024–2029

Industrial Hybrid AI Market is Experiencing Transformational Growth due to the Urgency for Adaptive Intelligence in Critical Decision-Making

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Hybrid AI is an integrative approach reshaping how AI is applied to mission-critical applications. Its potential lies in addressing the critical limitations of current AI solutions, with key market drivers including enhanced interpretability and explainability, greater application flexibility, and improved scalability and efficiency. Strong growth ...

The proliferation of internet of things applications, such as smart manufacturing and smart transportation, has resulted in the explosion of artificial intelligence (AI) and big data. These applications heavily rely on complex AI and machine learning algorithms, requiring computational solutions to handle varying workloads. Power-intensive, costly,...

The impact of the digital revolution continues to disrupt the healthcare industry. This includes evolving digital technological capabilities, new business models and marketing approaches, the healthcare consumerism trend, the changing regulatory environment, and competitive threats from new market entrants, such as digital-native companies—particul...

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints This F...

AI holds the potential to deliver significant benefits to economies and societies—from enabling new business models and driving operational efficiencies to providing accurate predictive outcomes. As AI technology implementation shifts gears—from the proof-of-concept stage to enterprise deployment—failing to implement an enterprise-wide AI strategy ...