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Artificial Intelligence (AI) in Medical Imaging Market to Hit USD 4.54 Billion by 2029 with 22.4% CAGR | MarketsandMarkets™

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DELRAY BEACH, Fla., Jan. 15, 2025 /PRNewswire/ — The global AI medical imaging market, valued at US$ 1.29 billion in 2023, is forecasted to grow at a robust CAGR of 22.4%, reaching US$ 1.65 billion in 2024 and an impressive US$ 4.54 billion by 2029. The factors driving the market growth include increasing government initiatives on AI-based technologies, higher funding for AI startups, a massive inflow of big data, and growing cross-industry collaborations. The market offers significant opportunities, particularly in untapped emerging markets such as Latin America, Southeast Asia, and Africa, where expanding healthcare infrastructure creates demand for cost-effective, AI-powered diagnostic solutions. Furthermore, a focus on developing human-aware AI systems that align with clinician decision-making and provide interpretable, patient-centered insights is immense to foster trust and adoption in medical settings. AI’s capability to enhance early detection, automate imaging workflows, and integrate with advanced imaging modalities positions it as a transformative force in improving diagnostic accuracy and healthcare outcomes globally.

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However, there are challenges in the form of a shortage of skilled AI professionals and ambiguous regulatory frameworks that are expected to slow growth to some extent.

Based on components, the market is segmented into software, services, and hardware. The software segment dominated in 2023 due to its ability to handle large datasets, seamless integration with clinical workflows, and customized solutions in areas such as radiology and pathology. Scalability and flexibility of AI software and feature such as cloud-based updating with remote access enhance diagnosis precision and efficiency, acting as a critical enabler of advancing AI-powered medical imaging. The software segment is dominated even though the services segment will lead in terms of CAGR, from 2023 through 2029. Increased demand for implementation, training, and support services can be seen as essential integration components of AI solutions into healthcare systems. Hardware also complements these segments by providing high-speed data processing and storage, which is extremely critical for AI applications. Despite these challenges, technological advancements continue to grow while efforts to address regulatory and workforce barriers are on the increase.

On the basis of Application, The AI in medical imaging market is divided into radiology, cardiology, oncology, neurology, orthopedics, obstetrics and gynecology, and other applications. In these, radiology leads with the largest market share as it is the most crucial part of diagnostic imaging, and the adoption of AI-based solutions early for enhancing image analysis, workflow efficiency, and decreasing errors in diagnosis. Advances in modalities such as X-rays, CT scans, and MRIs driven by AI have cemented radiology as a core segment in the market. On the other hand, the oncology segment is growing rapidly with the increase in the prevalence of cancer and the need for AI tools to assist in early detection, tumor characterization, and personalized treatment planning. The ability of AI to improve precision in oncology imaging, combined with the rising investments into research and development, is driving significant expansion in this segment.

The AI in medical imaging market is segmented by end users into hospitals and surgical centers, diagnostic imaging centers, and others. Hospitals and surgical centers lead the market, driven by their capacity to manage high patient volumes, access to substantial funding, and the necessity for integrated AI solutions to address complex, multi-specialty cases.These facilities often serve as the primary point of care, leveraging AI to improve workflow efficiency, reduce diagnostic errors, and enhance clinical decision-making. On the other hand, diagnostic imaging centers are growing rapidly due to their increasing focus on specialized imaging services and faster turnaround times. These centers are embracing AI to automate image analysis, optimize resource utilization, and offer cost-effective solutions, making them attractive for outpatient services and patients seeking quicker diagnostics. Additionally, the trend of decentralizing healthcare and the proliferation of AI-powered imaging tools tailored for standalone centers contribute to the growth of diagnostic imaging centers.

Based on region, the AI in medical imaging market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. In 2023, North America dominated the market due to its advanced healthcare infrastructure, substantial investments in AI, and early adoption of AI-powered technologies. The region’s focus on innovation and a strong network of AI startups further contribute to its leadership.

The Asia Pacific region is anticipated to register the highest CAGR during the forecast period, fueled by significant advancements in healthcare infrastructure, a growing elderly population, and government initiatives in countries such as China and India to encourage AI adoption in medical imaging. Additionally, emerging markets in Asia Pacific offer significant opportunities as healthcare providers increasingly adopt AI solutions to enhance diagnostic accuracy, improve efficiency, and meet the rising demand for quality care.

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The medical imaging market is largely dominated by several major global corporations, which account for a large share. However, some SMEs and regional companies also occupy a considerable share of the market. The key players in the AI in medical imaging market include Microsoft (US), Merative (US), NVIDIA Corporation (US), Siemens Healthineers (Germany), Intel Corporation (US), Google (US), GE Healthcare (US), Digital Diagnostics Inc. (US), InformAI (US), HeartFlow, Inc. (US), Advanced Micro Devices, Inc. (US), Enlitic, Inc. (US), icometrix (Belgium), Aidence (Netherlands), and Butterfly Network.

Microsoft (US)

Microsoft is considered one of the major firms in the artificial intelligence-driven market for medical image analysis. The company strongly invests in research and development, expanding its product list and providing it with high ground at the AI forefront. Currently, Microsoft targets four subdomains of Artificial Intelligence as focus areas- machine learning, deep learning, NLP as well as SR. However, the strength of Organic growth can further be appreciated by looking toward the Azure Machine Learning (AML).

In 2024, Microsoft will further its collaboration with NVIDIA, combining Azure’s cloud and AI capabilities with NVIDIA’s DGX Cloud and Clara suite, which is expected to increase the pace of innovation for clinical research, drug discovery, and medical imaging diagnostics and speed up the way to patient care. In addition, in 2023, Microsoft announced a collaboration with Paige AI, Inc. to create the world’s largest models of AI for digital pathology and oncology. This promises to revolutionize cancer diagnosis and patient care by employing powerful AI technologies.

NVIDIA CORPORATION (US)

NVIDIA Corporation ranks second in the AI medical imaging market, largely because of its position as a leading provider of GPUs for training and executing ML and AI algorithms. The company has strong presence across multiple geographies and works with top OEMs/ODMs globally. NVIDIA consistently drives innovation and expands its portfolio in the AI market.

For instance, in September 2022, NVIDIA announced the NVIDIA IGX platform, which aims to enable businesses to design next-generation, software-defined industrial and medical devices that can operate safely alongside humans. The platform includes the NVIDIA IGX Orin, a compact, powerful, energy-efficient AI supercomputer specifically designed for autonomous industrial equipment and medical devices. NVIDIA’s platforms include the DGX AI and various GPUs, accelerating deep neural networks and machine learning for healthcare applications. The company has more than 50 offices spread over the Americas, Asia, and Europe and, with strategic inorganic growth, has secured its leading position in the AI medical imaging market.

GOOGLE (US)

Google has emerged as a leader in integrating artificial intelligence (AI) into medical imaging, particularly in enhancing the efficiency and accuracy of diagnostics. Its AI-powered Medical Imaging Suite enables faster diagnoses and improved patient care by leveraging cutting-edge AI algorithms. The suite is designed to make imaging data more accessible, interoperable, and useful across various healthcare settings, enabling seamless integration with cloud, on-premises, or edge storage systems. Google Cloud’s AI capabilities, enhanced by collaborations with industry leaders like NVIDIA, help automate complex image analysis tasks, accelerating the development of scalable AI models and transforming the way medical images are analyzed and interpreted. By making powerful AI tools more accessible, Google is driving advancements in medical imaging that can ultimately improve outcomes and reduce the burden on healthcare professionals.

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Driving Certainty Through Uncertainty: eclicktech’s Engineering Approach to Agentic AI

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XI’AN, China, May 9, 2026 /PRNewswire/ — As generative AI moves from experimentation to enterprise deployment, the industry focus is shifting from model capability to operational reliability. The challenge is no longer simply building smarter AI, but ensuring AI systems can operate safely and consistently inside complex production environments.

eclicktech recently shared its internal engineering practices around Agentic AI, highlighting how the company is applying context engineering, multi-cloud infrastructure, and layered security frameworks to support enterprise-scale AI deployment.

To support global operations across more than 230 countries and regions, eclicktech built its Cycor platform around a multi-cloud architecture integrating AWS, Google Cloud, Alibaba Cloud, Tencent Cloud, Huawei Cloud, and other providers. According to the company, this approach improves infrastructure flexibility, reduces vendor lock-in risk, and enables more efficient orchestration of large-scale Kubernetes clusters and AI workloads.

eclicktech stated that one of the key lessons from early Agent development was that prompt engineering alone was insufficient for enterprise deployment. The company therefore shifted toward context engineering — an approach focused on delivering the right information, at the right time, while optimizing limited token resources.

Its engineering framework includes six layers of context management covering active sessions, short-term memory, long-term semantic storage, knowledge graphs, operational experience, and reusable organizational skills. The system also supports proactive context injection, allowing relevant operational history and risk information to be surfaced automatically before sensitive actions are executed.

To improve inference efficiency, eclicktech introduced layered token governance and progressive tool-loading mechanisms, dynamically loading tools and information only when required. The company said this approach helped improve tool selection accuracy and reduce unnecessary token consumption during complex operational workflows.

Security remains a core requirement throughout the architecture. eclicktech’s governance framework includes namespace isolation, dry-run verification, human approval workflows, rule-based validation, and rollback mechanisms designed to reduce operational risks associated with AI-driven automation.

According to eclicktech, the next stage of enterprise AI competition will depend not only on model capability, but also on engineering reliability, infrastructure orchestration, context management, and organizational knowledge systems.

Note: Certain technical information referenced in this article is derived from eclicktech’s internal engineering practices and is provided for industry reference purposes only.

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How a Unified Monetization Solution Is Driving eCPM and Revenue Growth for Casual Games Worldwide

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SINGAPORE, May 8, 2026 /PRNewswire/ — Casual, hyper-casual, and hybrid-casual games have become dominant categories in the global mobile market, making in-app advertising (IAA) a key driver of monetization success. However, many developers continue to face major challenges, including unstable fill rates, fluctuating eCPMs, difficulties balancing multiple regional markets, and the ongoing tradeoff between user experience and revenue growth.

To address these issues, zMaticoo has compiled a series of monetization case studies from leading game publishers and studios across China, Vietnam, Europe, and North America. These teams span hyper-casual, puzzle, board, card, and light-casual game categories, with DAUs ranging from millions to tens of millions. By adopting the same monetization framework, they achieved simultaneous growth in fill rate, eCPM, and ad revenue while maintaining stable user experience.

A common challenge among these teams was the shrinking monetization margin across global markets, creating an urgent need for sustainable revenue growth. At the same time, developers were cautious about over-monetization negatively impacting retention and player engagement.

To solve these challenges, zMaticoo introduced an AI-driven monetization system with full-funnel optimization capabilities. The platform connects developers directly to premium global advertiser budgets across both performance and brand advertising. AI models identify high-value traffic in real time based on region, audience, and usage scenarios, prioritizing high-eCPM demand sources. Separate bidding strategies are applied for mature and emerging markets to avoid revenue loss caused by one-size-fits-all pricing models.

The platform also provides refined ad format optimization:

Banner Ads: optimized display share and loading timing to improve SOV and stabilize eCPM;Interstitial Ads: precisely triggered during high-value moments such as level completion or pause screens, with especially strong premiums in emerging markets;Rewarded Video: deeply integrated into gameplay loops, delivering high user acceptance and conversion performance.

On the technical side, zMaticoo optimized SDK infrastructure to improve fill stability under weak network conditions. Ad loading time was reduced from five seconds to under two seconds through a rebuilt loading architecture. Progressive asset loading further minimized timeout-related drop-offs. AI-powered ad templates dynamically generated personalized creatives, improving both CTR and conversion performance.

The zMaticoo team also provides one-stop operational and analytics support. Developers can monitor fill rate, impressions, eCPM, and revenue through a unified dashboard, while dedicated optimization specialists provide 7×12 support for A/B testing, strategy iteration, and scaling guidance. The platform is deeply integrated with major mediation solutions, enabling one-time integration and multi-scenario deployment while reducing development and maintenance costs.

According to zMaticoo platform data:

In mature markets including the United States, Germany, Japan, and South Korea, banner eCPMs increased by 5%–10%, while interstitial premiums improved by over 5%;In emerging markets such as Brazil, Mexico, and Southeast Asia, interstitial eCPMs increased by more than 10%.

The monetization framework has demonstrated effectiveness across hyper-casual, puzzle, board/card, and utility app categories, supporting both rapid scale-up and long-term monetization stability.

Partner feedback includes:

“We are highly satisfied with the revenue uplift after integration. Our core products’ banner performance now ranks among the top tier.””Revenue recovered significantly after A/B testing, and we are expanding testing across more products.””One solution now supports multiple global markets without requiring separate monetization strategies for each region.””Interstitial monetization performance has been especially strong, with SOV reaching 10%–20% for several partners.”

zMaticoo believes successful monetization today is not about stacking more ad platforms, but about leveraging AI, technology, and refined operations to unlock long-term traffic value. Whether for hyper-casual publishers, puzzle game studios, or global mobile app companies, this AI-powered monetization framework is designed to deliver sustainable revenue growth while preserving user experience.

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Fox ESS Celebrates Strong Momentum with Integrated Solar Storage & Charging Solutions at Smart Energy 2026

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SYDNEY, May 9, 2026 /PRNewswire/ — Fox ESS, a global leader in renewable energy solutions, attended Smart Energy 2026 during 6-7 May as a platinum sponsor. At the event, Fox ESS showcased its next-generation approach to solar storage and EV charging solution, delivering a seamless, future-ready energy experience for homeowners and installers across Australia.

Integrated Solutions Tailored for Aussie Homes

At Smart Energy 2026, Fox ESS highlighted its storage-to-charging solution, designed to make everyday energy use more convenient for local residents. With performance-led products and proven market traction, Fox ESS is set to play its part in building a more resilient energy future for Australia.

Battery Systems

Fox ESS continues to build momentum in the battery market. Sunwiz, an Australian solar consultancy, recently reported that Fox ESS ranked No.1 in March for installation capacity. And the company also revealed it has installed more than 25,000 systems in April. During the exhibition, Sunwiz presented Fox ESS with an award, recognising the company as Top Solar Company for Fastest Growing Battery.

CQ7 V6+ High Voltage Battery (42kWh and above)
Building on Fox ESS’ proven strengths, compact design and high capacity, CQ7 V6+ is well suited to medium-sized households and ensure the free use of electricity and maximize the self-consumption.EQ4800 High Voltage Battery (28kWh)
A reliable choice for smaller households, designed for efficient day-to-day energy storage.

Alongside its battery range, Fox ESS showcased all-in-one systems, including Stackable AIO and EVO, designed to simplify installation while maintaining a high standard of design and presentation.

Inverters

Fox ESS offers a range of inverters to suit local requirements, supported by up to 200% PV oversizing and a 10-year product warranty.

Single-phase: H1‑G2 (3–6kW); KH series (7–10.5kW)Three-phase: H3 Smart (5–15kW); H3 Pro (15–29.9kW); H3 Plus (50–125kW)

EV Chargers

With EV adoption accelerating, Fox ESS also offers EV charging solutions with solar linkage, designed to work across its inverter portfolio. The chargers provide robust, smart energy management, including dynamic load balancing to help protect home circuits.

A Series (7.3kW / 11kW / 22kW): IP65 and IK08 protection, OCPP-compliant.L Series (7.3kW / 11kW): straightforward installation with multiple colour options.

Big Battery Still Takes Centre Stage

As the Cheaper Home Battery Program moves into a new phase under an updated rebate policy, interest in larger battery systems continues to grow, particularly as more households consider EV upgrades amid rising fuel costs. More EVs typically mean households need greater energy availability, making higher-capacity storage an increasingly attractive option.

Looking ahead, from 1 July 2026, the Australian Government’s Solar Sharer Offer (SSO) will provide eligible households with three hours of free daily electricity to align with peak solar generation. Households with larger batteries will be well placed to make the most of this opportunity.

Fox ESS is also working with local VPP partners, including Amber Electric and Origin Loop VPP, helping homeowners unlock maximum value while supporting greater grid stability.

Maimai Comes Alive at the Exhibition

Visitors to the Fox ESS stand experienced a full programme of brand activations across the event. Following the online announcement, Sydney served as Maimai’s first physical stop, bringing the community together for face-to-face engagement. Attendees queued to take photos with the brand’s friendly and recognisable mascot.

Long-Term Commitment to Australia

Fox ESS has opened two local offices in Melbourne and Sydney, with more than 30 dedicated specialists supporting local customer needs. The company is also looking to play a wider role in Australia’s energy transition.

Notably, Ian Thorpe made his first in-person appearance at Fox Night, where he presented partners with awards. At the event party, Fox ESS also hosted a battery installation challenge, featuring eight rounds of competition, with the final winners receiving a range of prizes.

“We’re delighted to see such a strong result following the rollout of local policy. With nearly 400,000 Australian households now installing batteries, Fox ESS has played a key role, but this is only the beginning. We’re committed to keeping momentum and helping make a smarter, more reliable energy future a reality for more homes.” said Brooks Richard Geng, APAC & Middle East Managing Director, Fox ESS.

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