Technology

AI In Healthcare Market Revenue worth $187.7 Billion by 2030 – Exclusive Study by The Research Insights

Published

1 year ago

May 21, 2025

CHICAGO, May 21, 2025 /PRNewswire/ — The global AI In Healthcare Market size is projected to be valued at USD 26.6 Billion in 2024 and reach USD 187.7 billion by 2030, growing at a CAGR of 38.5% according to a new report by The Research Insights. Healthcare providers face significant financial burdens due to the rise of chronic illnesses among an aging population. Healthcare systems require better early detection methods for conditions like dementia and cardiovascular disorders to minimize their impacts. Patterns in imaging data can be analysed to develop personalized treatment plans for patients.

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Market Overview and Growth Trajectory:

AI In Healthcare Market Growth: According to an exhaustive report by The Research Insights, the AI In Healthcare Market is experiencing significant growth, due to early detection of diseases significantly reduces mortality rates because early diagnosis leads to better survival outcomes while also cutting down treatment expenses. Resource-poor areas frequently experience late diagnosis of chronic diseases which causes decreased survival rates along with increased morbidity and treatment costs. Despite having strong healthcare systems, numerous chronic diseases like cancer remain undiagnosed until later stages. It is essential to tackle diagnostic delays while guaranteeing patients receive prompt treatment to enhance disease control across the globe.

The report runs an in-depth analysis of market trends, key players, and future opportunities. In general, the AI In Healthcare Market growth of 38.5% comprises a vast array of Component, Application, Technology, End-User, and Geography which are expected to register strength during the coming years.

Healthcare data expansion requires advanced data management systems to process information effectively:
The rapid increase of electronic health records (EHRs), diagnostic images, clinical trial data, genomic information, and wearable health device data represents the primary catalyst for AI adoption in healthcare. Traditional data analysis methods can no longer handle the massive scale of data due to its exponential volume, speed, and diversity. Machine learning (ML) and deep learning algorithms within AI provide a robust method to derive meaningful insights from extensive datasets. AI systems demonstrate superior accuracy and speed in identifying patterns within imaging scans which supports early detection of medical conditions such as cancer, stroke and neurological disorders. Through real-time data analysis and predictive analytics AI algorithms help monitor critical care situations while working to stop hospital readmissions and adverse drug reactions. AI integration across healthcare settings is driven by the growing requirement to transform healthcare data into real-time meaningful decisions.

The healthcare sector is experiencing a surge in the need for personalized medicine combined with precision healthcare:
The worldwide movement to adopt value-based healthcare practices cantered on patients creates a greater need for artificial intelligence tools designed to support personalized medical treatments. AI allows for customized treatment strategies by combining genetic profiles with lifestyle information and medical histories instead of using generalized traditional treatment protocols. AI-powered platforms in oncology use patient-specific tumour markers to identify the most effective treatment plans based on response predictions. Pharmacogenomics and drug development benefit from AI which models’ medication responses across diverse individuals to enhance treatment outcomes while minimizing side effects. AI’s precision and scalable capabilities become critical in modern health care because both patients and providers now demand personalized treatments alongside predictive and preventive health management.

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Advancements in technology enable AI applications to grow across multiple healthcare sectors:
The healthcare sector benefits from expanded AI applications as a result of breakthroughs in computing power along with advancements in cloud technologies, natural language processing (NLP), and neural networks. AI applications have expanded into multiple healthcare sectors including radiology with automated image interpretation and pathology through slide digitization as well as virtual health assistants and robotic surgeries alongside hospital workflow optimization and administrative tasks such as billing and claims management. Both established technology organizations and emerging startups are making substantial investments in artificial intelligence healthcare solutions through partnerships with medical facilities and academic research entities. The FDA along with other regulatory bodies have started to approve AI-based tools which in turn strengthens market readiness and builds industry confidence. AI innovations continue to expand their reach within healthcare systems thanks to the combined support from private investors and public policy makers.

Geographical Insights: The North American AI in healthcare market commanded over 45% of the global market share. North America’s market dominance in AI healthcare comes from its superior healthcare IT infrastructure and rising healthcare costs along with widespread implementation of AI and ML technologies. The growth of the market has been accelerated by supportive government policies and large investments alongside the existence of top tech and healthcare firms. The aging population combined with lifestyle changes and more chronic diseases create a growing need for AI-enabled value-based care solutions.

The European AI in healthcare market experiences growth because both public entities and private companies increase their financial contributions. The ongoing projects focus on improving diagnostic accuracy while seeking better patient health results and healthcare system performance. The UK Department of Health and Social Care dedicated $49.3 million to support 38 AI-driven healthcare initiatives in 2021. Europe demonstrates its dedication to quickening the adoption of AI technologies in healthcare through these initiatives.

The Asia Pacific region experiences swift expansion thanks to its developing IT infrastructure combined with a boom in AI startup innovations. Venture capitalists along with private investors and non-profit organizations are contributing to healthcare delivery improvement while enhancing data analytics performance and reducing operational expenses. Government-backed programs that encourage healthcare providers to adopt AI technologies serve as essential drivers for the rapidly growing and changing market conditions.

AI transformation of global healthcare shows North America as the leader while Europe makes rapid progress from strategic investments and the Asia Pacific region stands out as a high-growth potential area.

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Global AI In Healthcare Market Segmentation and Geographical Insights:

Based on Component, the market is divided into Hardware (Processor, Memory, and Network), Software Solutions (AI platform, and AI Solutions), Services (Deployment & Integration, Support & Maintenance, and Others). The forecast period will see a 38.7% CAGR in the software solution component segment due to the accelerated development of the healthcare landscape. Healthcare providers, payers and patients are increasingly adopting advanced artificial intelligence-driven software solutions which results in rapid industry expansion.Based on Application, the market is divided into Robot-assisted Surgery, Virtual Assistants, Administrative Workflow Assistants, Connected Medical Devices, Medical Imaging & Diagnostics, Clinical Trials, Fraud Detection, Cybersecurity, Dosage Error Reduction, Precision Medicine, Drug Discovery & Development, Lifestyle Management & Remote Patient Monitoring, Wearables, and Others. Robot-assisted surgery has become the market leader with the highest revenue share in 2023. Experts project that this development will proceed with substantial expansion throughout the period from 2024 to 2030. The growth of robot-assisted surgeries combined with rising investments in AI platforms serve as primary factors pushing artificial intelligence adoption within this sector.Based on Technology, the market is divided into Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision. The machine learning (ML) segment led market leadership through the exploitation of massive healthcare data sets to achieve real-world outcomes. Machine Learning (ML) utilizes electronic health records (EHRs), medical imaging, genomic data, and wearable device information to extract insights that help healthcare providers make informed decisions and improve patient outcomes.Based on End Use, the market is divided into Healthcare Providers, Healthcare Payers, Healthcare Companies, Patients, and Others. The healthcare industry maintains a significant market advantage because its revenue share leads the industry landscape throughout the forecast period. AI technologies now serve as essential tools for developing new drugs because they enable personalized treatment options and therapies that specifically target patient demographics.The AI In Healthcare Market is segmented into five major regions: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

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Key Players and Competitive Landscape:

The Global AI In Healthcare Market is characterized by the presence of several major players, including:

MicrosoftIBMGoogleNVIDIA CorporationIntel CorporationItrex GroupGE HealthcareMedtronicOracleMedidataMerckIQVIA

These companies are adopting strategies such as new product launches, joint ventures, and geographical expansion to maintain their competitive edge in the market.

Global AI In Healthcare Market Recent Developments and Innovations:

In February 2025, Koninklijke Philips N.V. from the Netherlands joined forces with Medtronic from the US to offer training to Indian cardiologists and radiologists in advanced imaging methods for structural heart conditions. The program plans to train more than 300 clinicians using multiple imaging techniques including echocardiography and MRI with a special focus on patients with End-Stage Renal Disease.In July 2024, Mass General Brigham and the University of Wisconsin–Madison joined forces with Microsoft to develop AI models for medical imaging across more than 23,000 conditions which will help radiologists work more efficiently and produce better patient outcomes.In March 2024, Microsoft worked alongside NVIDIA to promote AI development and boost computing performance. This partnership combines Microsoft Azure’s extensive global reach with advanced computing power with NVIDIA’s DGX Cloud and Clara suite to drive innovation forward while enhancing patient care.In March 2024, NVIDIA released new Generative AI Microservices with potential to revolutionize medical technology and drug discovery along with digital health. This approach uses advanced AI capabilities to transform the healthcare technology landscape.In January 2024, Siemens joined forces with Amazon Web Services (AWS) to make generative AI accessible for software development by incorporating Amazon Bedrock into Siemens’ Mendix low-code platform. The partnership enabled professionals from various industries to utilize advanced generative AI for developing and improving applications with ease.In November 2023, Koninklijke Philips N.V. teamed up with Vestre Viken Health Trust in Norway to implement its AI Manager platform for better radiology workflows. The AI technology embedded in the bone fracture application enhanced diagnostic processes and enabled radiologists to dedicate their attention to complicated cases. The project extended over 30 hospitals while providing services to roughly 3.8 million individuals.In September 2023, the partnership between Merck KGaA and Exscientia along with BenevolentAI was established to boost drug discovery processes by incorporating advanced AI technologies.

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Conclusion:

The AI in healthcare market experiences rapid transformation through artificial intelligence developments from deep learning and natural language processing backed by advanced analytics to address growing needs for precise diagnostics and personalized treatment options along with operational efficiencies. Hospitals and health systems are implementing AI-driven decision support tools along with virtual care solutions and automated administrative processes to counteract severe staffing shortages of clinicians, radiologists, and care coordinators. Medical imaging interpretation along with predictive risk stratification and robotic-assisted surgery together with patient engagement through conversational agents represents the main applications where AI serves as a foundational technology. Deployment success depends on stringent data governance and real-time processing capabilities while providing intuitive interfaces that establish clinician confidence and protect patient safety. Cloud-based AI services combined with IoT-enabled monitoring devices improve remote patient care and enable ongoing health management. Modern healthcare ecosystems increasingly depend on customizable AI systems that learn because they advance precision medicine while improving operational efficiency and drive the digital transformation of global health through Industry 4.0.

The report from The Research Insights, therefore, provides several stakeholders— healthcare providers, patients, regulatory authorities, insurance companies, hospital administrators, and pharmaceutical companies—with valuable insights into how to successfully navigate this evolving market landscape and unlock new opportunities.

With projected growth to US$ 187.7 billion by 2030, the Global AI In Healthcare Market represents a significant opportunity for AI startups, tech giants, academic research institutions, data analytics firms, and medical device manufacturers, staying abreast of market trends, embracing innovation, and focusing on quality and performance, companies can position themselves for success in this dynamic and evolving market landscape.

Check out more related studies published by The Research Insights:

Generative AI In Healthcare Market – The Global Generative AI In Healthcare Market is expected to reach at USD 14,765.1 million by 2030, according to a new report by The Research Insights. It is projected to expand at a CAGR of 36.7% during the forecast period, the expansion results from generative AI’s growing application across different healthcare sectors such as drug discovery and personalized treatment plans together with disease diagnosis.Agentic AI In Healthcare Market– The Global Agentic AI In Healthcare Market is expected to reach at USD 4.96 billion by 2030, according to a new report by The Research Insights. It is projected to expand at a CAGR of 45.56% during the forecast period. The adoption of Agentic AI across patient engagement and treatment planning areas drives healthcare growth.AI In Medical Coding Market– The global AI in medical coding market size was estimated at USD 2.06 billion in 2022, poised for a substantial growth trajectory, driven by an anticipated compound annual growth rate (CAGR) of 13.7% from 2023 to 2030. This upward trend is attributed to several key factors, including a surge in demand for these services, the implementation of standardized language solutions to mitigate insurance claim fraud and misinterpretations, and an increasing need to enhance efficiency in hospital billing and coding proceduresAI In Life Science Analytics Market– The life sciences sector is witnessing a profound transformation as AI technology becomes increasingly entrenched in analytics. As of 2023, the market size stands at USD 1.7 billion, poised to expand by 10.9% from 2024 to 2030, driven by the exponential growth of machine learning capabilities. The rapid evolution of AI in life sciences is catalyzing a revolution in drug discovery, personalized medicine, and patient care through its ability to process vast amounts of complex data with unprecedented accuracy.AI In Oncology Market– The global AI in oncology market is poised to experience significant growth, driven by a rising number of cancer cases worldwide. In 2023, the market size was estimated at USD 2.80 billion. Over the forecast period from 2024 to 2030, the market is expected to expand at a compound annual growth rate (CAGR) of 28.92%. This growth trajectory can be attributed to several factors, including the increasing prevalence of cancer, advancements in cancer diagnostics and healthcare infrastructure, as well as the growing need for early and accurate diagnosis of this complex disease.

Browse More related reports on Healthcare Industry Market Reports – https://www.theresearchinsights.com/categories/healthcare

About Us:

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Technology

From Turbine Supply to Ecosystem Building: Goldwind Outlines APAC Strategy at the APAC Wind Energy Summit

Published

13 minutes ago

June 16, 2026

HANOI, Vietnam, June 16, 2026 /PRNewswire/ — Speaking at the GWEC APAC Wind Energy Summit in Hanoi, Goldwind, a reliable global strategic partner in clean energy, reaffirmed its deep commitment to the Asia-Pacific region. Operating in 10 countries across APAC, Goldwind is driving the region’s energy transition through deep localization, ecosystem collaboration, and tailored clean energy solutions.

Drawing on two decades of international experience, Goldwind articulated a clear evolution at the summit: true globalization is not just about “going global” — it is about “landing well.” This strategic shift from pure market expansion to ecosystem building has already delivered tangible results. Goldwind’s cumulative installed capacity now exceeds 165 GW across 49 countries.

Across Asia Pacific, Goldwind delivers diversified, tangible impact: grid-forming storage in Australia, talent cultivation, localized supply chain and rapid delivery in Vietnam, typhoon-resilient designs in the Philippines, and hybrid towers that boost output in Thailand.

Dong Yinming, CEO of Goldwind Asia, emphasized in his keynote address at the summit:

“In Asia, our commitment goes beyond delivering turbines — we strive to be a locally-rooted system partner, supporting projects across the full lifecycle to create long-term value. Empowering local projects with global expertise and deeply cultivating the Asia-Pacific market — that is what true ‘landing well’ means for a greener, more prosperous region.”

Wu Kai, Vice President of Goldwind, added:

“Scaling wind power in Asia requires more than just installing additional turbines. It demands innovative solutions tailored to the region’s unique complexity. Closing the gap between ambition and implementation in Asia’s wind sector takes more than any single company. Let’s share what works, learn from each other, and co-create solutions that deliver lasting value — for the industry, for communities, and for the future.”

Looking ahead, Goldwind aims to deepen its local roots across every market it serves, empowering Asia’s energy transition with global expertise and local adaptation. As the region accelerates toward a green future, Goldwind remains committed to being a trusted, long-term partner — rooted in APAC, thriving together.

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SOURCE Goldwind

Technology

Bambu Lab Launches PLA Pure: A Filament Made for Printing Where You Live

Published

13 minutes ago

June 16, 2026

AUSTIN, Texas, June 15, 2026 /PRNewswire/ — As desktop 3D printers become a fixture in homes around the world, Bambu Lab – one of the fastest-growing companies in the consumer 3D printing space – is raising the bar on what a home printing filament should be. Today, Bambu Lab announced the launch of PLA Pure, a filament engineered for cleaner, safer home 3D printing, with every ingredient certified compliant with EU 10/2011, the European regulation governing plastics intended for food contact.

Five Ingredients. Each One Earned Its Place.

PLA Pure draws on materials you encounter in everyday life:

Polylactic acid (PLA) – derived from corn and sugarcane.Acrylic copolymer – commonly found in children’s toys.Color pigments – also used in baby tableware.EBS (ethylene bis-stearamide) – familiar from food packaging films.Talc – used in products such as biodegradable drinking straws; independently tested by a third party and verified asbestos-free.

Every ingredient appears on the EU 10/2011 positive list with a traceable FCM (Food Contact Material) substance number. Raw materials are supplied by global manufacturers including TotalEnergies Corbion, Dow, Chemours, and BASF, making compliance and traceability straightforward.

Most filaments marketed as food-contact compliant are tested only as finished products. PLA Pure is verified ingredient by ingredient, from the base material to the pigments.

Cleaner Air at Your Desk

Since printing often happens in living spaces, emissions matter. PLA Pure carries UL 2904 GREENGUARD certification*, the recognized standard for 3D printer emissions that measures particulate matter and Volatile Organic Compounds (VOCs) for indoor air quality impact.

Particle and VOC levels during printing fall below what’s typically present in an average kitchen, living room, or office.In a four-hour continuous printing test conducted by an accredited laboratory, PLA Pure produced lower PM2.5 and PM10 emissions than a comparable filament under identical conditions.Proper ventilation is still recommended to minimize inhalation of any printing byproducts.

Bambu Lab’s PLA Basic also holds indoor air quality certification under the same standard, but PLA Pure’s cleaner ingredient profile yields even lower emission levels-particularly relevant when printing near children, pets, or in shared living spaces.

*Testing was conducted on Bambu Lab A1 and A2L printers, both open-deck models without enclosure or filtration. This setup represents the baseline emission scenario, where filament emissions are measured directly without any additional containment.

Safety Is One Thing. Reliability Is Another.

Most filaments rely on impact modifiers and flow agents to achieve consistent print results. PLA Pure takes a different approach: to keep the formula to five food-safe ingredients, Bambu Lab rebuilt the formulation from scratch—iterating until the chemistry alone could deliver what additives typically do. The result is less residue, reduced nozzle buildup, and more consistent extrusion spool after spool.

Less stringing — even without prior drying, PLA Pure produces noticeably fewer strings than typical third-party filaments.Cleaner surfaces — finished parts require less post-processing.Strength intact — PLA Pure matches PLA Basic in mechanical performance, with layer adhesion comparable to most PLA materials on the market.

All printing parameters are stored in the RFID tag and automatically read by the AMS system. Load the spool, let the material synchronize itself, and start printing. No guesswork required.

Toy Safety

The material has also passed EN 71-3 certification, the European safety standard that governs the migration of certain elements from toy materials. The standard’s main concern is whether potentially harmful elements-such as lead, cadmium, chromium, and other heavy metals-can leach out of a material when a child handles, mouths, or swallows it. It also sets strict limits on the permissible migration of each.

Passing this test makes the material suitable for models meant to be handled and played with: a toy kitchen plate, a small car, a cat toy.

As with any 3D-printed toy, common sense still applies. Small parts and support structures can pose a choking hazard, edges may be sharp, and the material is combustible. Models should be selected appropriately, and children should be supervised during play.

A Note on Application

These certifications apply to the filament itself and its ingredients. Whether a specific printed object is suitable for a particular application depends on factors such as equipment hygiene (especially nozzle cleanliness), printing conditions, and how the object is ultimately used. Because of the layered structure of FFF prints, they are not suitable for liquid foods, and PLA itself should not be exposed to temperatures above 60°C (like putting 3D prints into dishwashers). Bambu Lab recommends that users consider these factors when selecting a material for a specific application. PLA Pure provides a fully documented ingredient profile-the rest of the decisions are yours to make with confidence.

Availability

PLA Pure is available now at Bambu Lab Official Store

Price: USD 24.99 (With Spool)/ USD 21.99 (Refill)

Additional details regarding availability, colors, and variants will be announced separately.

About Bambu Lab

Bambu Lab is a consumer-tech company focusing on desktop 3D printers. Its state-of-the-art 3D printers offer a feature-rich, first-class experience for a global community of 3D printing makers, aiming to break the barriers between the digital and physical worlds and bring creativity to a whole new level. Bambu Lab sells its 3D printers, filaments, and accessories on its official website, serving customers across 30+ countries.

Learn more at https://www.bambulab.com.

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SOURCE Bambu Lab

Technology

UROVO DT610 Pro: The Rugged AI Terminal Redefining Frontline Productivity

Published

13 minutes ago

June 16, 2026

SINGAPORE, June 15, 2026 /CNW/ — UROVO, a global leader in enterprise mobility solutions, unveiled the DT610 Pro, a next-generation ultra-rugged intelligent terminal purpose-built to empower frontline operations across industries. Designed to withstand the toughest environments, DT610 Pro combines enterprise-grade durability with cutting-edge AI capabilities to redefine workforce productivity.

In today’s fast-paced digital economy, frontline workers face increasing operational pressure. Field engineers must diagnose equipment failures on the spot, delivery drivers operate in extreme weather, and warehouse staff respond to sudden surges in order volume. Any device failure can disrupt critical workflows, making reliability and performance essential.

The DT610 Pro is purpose-built for frontline operations. Powered by the Qualcomm Q-6690 4nm platform with a dedicated 6 TOPS AI engine, it enables real-time OCR, intelligent data capture, and voice-assisted workflows directly on the device–without cloud dependency. This delivers faster response times, lower latency, and reliable performance for demanding enterprise workloads, while long-term platform support through 2034 helps maximize device lifecycle value.

Enterprise-grade ruggedness sets DT610 Pro apart from consumer devices. Rated IP68, and capable of surviving 1.8-meter drops while operating reliably from -20°C to 60°C, it minimizes downtime and reduces total cost of ownership.

Frontline workers benefit from a hot-swappable battery for uninterrupted full-shift operation and a sunlight-readable display built for demanding environments. Combining FlexRange barcode scanning (5 cm–10 m), high-performance RFID reading, and a 3-sided NFC design, the DT610 Pro delivers an all-in-one data capture platform for frontline operations. Workers can efficiently scan barcodes, track assets, verify IDs, card emulation, and enable contactless payments from virtually any angle. A 50MP autofocus camera with AI-powered OCR further streamlines delivery verification, document digitization, and field data collection, helping businesses boost productivity and operational efficiency.

Connectivity is critical for uninterrupted workflows. In warehouses, DT610 Pro’s Wi-Fi 7 with 2×2 MU-MIMO delivers wired-like speeds in high-density environments, while Multi-Link Operation (MLO) keeps connections stable with instant failover, lower latency, and rock-solid reliability. For field operations, 5G connectivity ensures instant work order updates, image capture, and data synchronization wherever work happens.

“Frontline operations don’t wait–and neither should the technology that supports them,” said Zhang Bo, CTO at UROVO. “DT610 Pro is not just a device; it’s a long-term investment in operational efficiency, workforce productivity, and business continuity.”

The DT610 Pro represents the next evolution in intelligent rugged devices, delivering performance, reliability, and future-ready AI capabilities for every shift, every environment, and every mission.

About Urovo
Founded in 2002, UROVO is the world’s leading industry application enabler, specializing in AI, Mobility, Barcode and RFID Technologies, Printers, and Payment Terminals. Committed to technological advancement, we provide cutting-edge digital solutions that drive smart transformation for clients across industries such as logistics, retail, finance, healthcare, manufacturing, government, and transportation.

By integrating pioneering innovations into business processes, we enable our clients to meet their strategic goals with unmatched efficiency and precision, fostering sustainable growth.

Website: https://en.urovo.com/

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SOURCE UROVO