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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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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

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SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

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