AI Research
New Report Shows China Dominates in AI Research – and Is Western World’s Leading Collaborator on AI
Newswise — China is outstripping the rest of the world in artificial intelligence research at a time when AI is becoming a “strategic asset” akin to energy or military capability, according to a new report released today by research technology company Digital Science.
The report – entitled DeepSeek and the New Geopolitics of AI: China’s ascent to research pre-eminence in AI – has been authored by Digital Science CEO Dr Daniel Hook based on data from Dimensions, the world’s largest and most comprehensive database describing the global research ecosystem.
Dr Hook has analyzed AI research data from the year 2000 to 2024, tracking trends in research collaborations and placing these within geopolitical, economic, and technological contexts.
His report says AI research has grown at an “impressive rate” globally since the turn of the millennium – from just under 10,000 publications in 2000, to 60,000 publications in 2024.
Dr Hook’s key findings include:
- China has become the pre-eminent world power in AI research, leading not only by research volume, but also by citation attention, and influence, rapidly increasing its lead on the rest of the world over the past seven years.
- The US continues to have the strongest AI startup scene, but China is catching up fast.
- In 2024, China’s AI research publication output matched the combined output of the US, UK, and European Union (EU-27), and now commands more than 40% of global citation attention.
- Despite global tensions, China has become the top collaborator for the US, UK, and EU in AI research, while needing less reciprocal collaboration than any of them.
- China’s AI talent pool dwarfs its rivals – with 30,000 active AI researchers and a massive student and postdoctoral population.
- The EU benefits from strong internal AI collaboration across its research bloc.
- China dominates AI-related patents – patent filings and company-affiliated AI research show China outpacing the US tenfold in some indicators, underscoring its capacity to translate research into innovation.
“AI is no longer neutral – governments are using it as a strategic asset, akin to energy or military capability, and China is actively leveraging this advantage,” Dr Hook says.
“Governments need to understand the local, national and geostrategic implications of AI, with the underlying concern that lack of AI capability or capacity could be damaging from economic, political, social, and military perspectives.”
Dr Hook says China is “massively and impressively” growing its AI research capacity. Unlike Western nations with clustered AI hubs, he says China boasts 156 institutions publishing more than 50 AI papers each in 2024, supporting a nationwide innovation ecosystem. In addition, “China’s AI workforce is young, growing fast, and uniquely positioned for long-term innovation.”
He says one sign of China’s rapidly developing capabilities is its release of the DeepSeek chatbot in January this year. “The emergence of DeepSeek is not merely a technological innovation – it is a symbol of a profound shift in the global AI landscape,” Dr Hook says.
“DeepSeek exemplifies China’s technological independence. Its cost-efficient, open-source LLM demonstrates the country’s ability to innovate around US chip restrictions and dominate AI development at scale.”
Dr Hook’s report comments further on the AI research landscape in the US, UK and EU.
He says the UK remains “small but globally impactful”. “Despite its modest size, the UK consistently punches above its weight in attention-per-output metrics.”
However, the EU “risks falling behind in translation and visibility”. “The EU shows weaker international collaboration beyond its borders and struggles to convert research into applied outputs (e.g., patents), raising concerns about its future AI competitiveness.”
Discover more in the full report: DeepSeek and the New Geopolitics of AI: China’s ascent to research pre-eminence in AI: https://doi.org/10.6084/m9.figshare.29336588
About Dimensions
Part of Digital Science, Dimensions hosts the largest collection of interconnected global research data, re-imagining research discovery with access to grants, publications, clinical trials, patents and policy documents all in one place. Follow Dimensions on Bluesky, on X and LinkedIn.
About Digital Science
Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry and publishers. We work in partnership to advance global research for the benefit of society. Through our brands – Altmetric, Dimensions, Figshare, IFI CLAIMS Patent Services, metaphacts, OntoChem, Overleaf, ReadCube, Symplectic, and Writefull – we believe when we solve problems together, we drive progress for all. Visit digital-science.com and follow Digital Science on Bluesky, on X or on LinkedIn.
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David Ellis, Press, PR & Social Manager, Digital Science: Mobile +61 447 783 023, [email protected]
AI Research
Artificial Intelligence (AI) in Healthcare Market worth
The prominent players operating in the Artificial Intelligence (AI) in healthcare market include Koninklijke Philips N.V. (Netherlands), Microsoft Corporation (US), Siemens Healthineers AG (Germany), NVIDIA Corporation (US), Epic Systems Corporation (US)
Browse 902 market data Tables and 67 Figures spread through 711 Pages and in-depth TOC on “Artificial Intelligence (AI) in Healthcare Market by Offering (Integrated), Function (Diagnosis, Genomic, Precision Medicine, Radiation, Immunotherapy, Pharmacy, Supply Chain), Application (Clinical), End User (Hospitals), Region – Global Forecast to 2030
The global Artificial Intelligence (AI) in Healthcare Market [https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-healthcare-market-54679303.html?utm_source=abnewswire.com&utm_medium=paidpr&utm_campaign=artificialintelligenceinhealthcaremarket], valued at US$14.92 billion in 2024, is forecasted to grow at a robust CAGR of 38.6%, reaching US$21.66 billion in 2025 and an impressive US$110.61billion by 2030. The growing incidence of chronic diseases, linked with an increasing geriatric population, puts substantial financial pressure on healthcare providers. There is a rising need for the early detection of conditions such as dementia and cardiovascular disorders. This can be done by analysing imaging data to recognize patterns, which helps create personalized treatment plans.
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Browse in-depth TOC on “Artificial Intelligence (AI) in Healthcare Market”
882 – Tables
61 – Figures
738 – Pages
By tools, the Artificial Intelligence (AI) in healthcare market for machine learning has been bifurcated into deep learning, supervised learning, reinforcement learning, unsupervised learning, and other machine learning technologies. The deep learning segment accounted for the largest share of the Artificial Intelligence (AI) in healthcare market in 2024. The capability to process vast amounts of unstructured medical data, such as electronic health records (HER), imaging, and genomics, allows accurate disease diagnosis and prediction. The integration of deep learning into healthcare is significantly boosting the AI in healthcare market, leading to substantial investments in diagnostic tools and predictive analytics. As computational power and data availability continue to increase, deep learning is set to unlock further advancements, solidifying its position as a key enabler of next-generation healthcare technologies.
By end user, the AI in healthcare market is segmented into healthcare providers, healthcare payers, patients, and other end users. In 2024, healthcare providers accounted for the largest share of the AI in healthcare market. The large share of this end-user segment can be attributed to the increasing budgets of hospitals to improve the quality of care provided and reduce the cost of care.
By geography, the Artificial Intelligence (AI) in healthcare market is segmented into five main regions: North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The Asia Pacific region is projected to see a substantial growth rate during the forecast period. The Asia Pacific (APAC) region is experiencing substantial growth in adopting AI technologies within the healthcare sector, driven by a combination of demographic shifts, technological advancements, and increased investments in innovation. The rising elderly population in the region is a key factor, with the proportion of individuals aged 65 years and above increasing significantly. The demand for advanced healthcare solutions has surged as the aging population faces chronic and age-related conditions, necessitating efficient diagnostic, monitoring, and treatment tools. AI technologies are being integrated into various healthcare applications, including predictive analytics, telemedicine, medical imaging, and patient management systems. These innovations aim to address gaps in healthcare access, improve diagnostic accuracy, and streamline operations across the region.
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The prominent players operating in the Artificial Intelligence (AI) in healthcare market include Koninklijke Philips N.V. (Netherlands), Microsoft Corporation (US), Siemens Healthineers AG (Germany), NVIDIA Corporation (US), Epic Systems Corporation (US), GE Healthcare (US), Medtronic (US), Oracle (US), Veradigm LLC (US), Merative (IBM) (US), Google (US), Cognizant (US), Johnson & Johnson (US), Amazon Web Services, Inc. (US), among others. These companies adopted strategies such as product launches, product updates, expansions, partnerships, collaborations, mergers, and acquisitions to strengthen their market presence in the Artificial Intelligence (AI) in healthcare market.
Koninklijke Philips N.V. (Netherlands)
Koninklijke Philips N.V. is a leading player in the AI in the healthcare market. The company utilizes AI to deliver innovative tools across various areas, including diagnostic imaging, patient monitoring, and precision medicine. Its advanced AI-driven platforms, such as the Philips HealthSuite, facilitate the integration and analysis of extensive clinical data, which supports personalized treatment plans and improves patient outcomes. Philips focuses on organic and inorganic growth strategies to expand its market presence.
Strategic partnerships in high-potential markets and collaborations have been the key growth strategies of the company over the years. For example, in February 2025, Philips partnered with Medtronic to educate and train cardiologists and radiologists in India on advanced imaging techniques for structural heart diseases. This partnership aims to upskill 300+ clinicians in multi-modality imaging such as echocardiography (echo) and Magnetic Resonance Imaging (MRI), especially for End-Stage Renal Disease (ESRD) patients. In November 2023, Philips and NYU Langone Health partnered to focus on patient safety and outcomes. This partnership integrated innovative health technologies, including digital pathology, clinical informatics, and AI-enabled diagnostics, enabling real-time collaboration among clinicians. The company also focuses on winning contracts across several companies in the healthcare space. This helps the company expand its footprint. For instance, in September 2022, Philips and Mandaya Royal Hospital Puri (MRHP) in Jakarta underwent a digital transformation in a strategic partnership, enhancing patient-centered care and healthcare services.
Microsoft Corporation (US):
Microsoft Corporation is one of the leading providers of software & tools that include advanced AI capabilities in healthcare to improve patient outcomes, streamline operations, and drive innovation. Its Azure-based AI solutions support distinct applications such as medical imaging, genomics, and precision medicine. The company also provides healthcare-specific AI models through its Azure AI Model Catalog, which is constructed to support hospitals and research institutions in building and deploying tailored AI solutions proficiently. Moreover, the integration of Nuance’s AI-powered clinical and diagnostic tools encourages its capacity to support healthcare providers in decision-making and care delivery. The company continuously brings AI capabilities to the platforms in large-scale customer models. For instance, in March 2025, the company launched Microsoft Dragon Copilot, the first unified voice AI assistant in the healthcare industry that enables clinicians to streamline clinical documentation, surface information, and automate tasks.
Microsoft Corporation has invested significantly in R&D, which has improved its product portfolio and position in the AI market. Machine Learning (ML), deep learning, Natural Language Processing (NLP), and speech processing are the key focus areas of the company in the AI in healthcare market. The company continuously invests in a series of services and computational biology projects, including research support tools for next-generation precision healthcare, genomics, immunomics, CRISPR, and cellular and molecular biologics. It has a strong global presence, with key operations supported through its Azure cloud infrastructure across regions like North America, Europe, Asia-Pacific, and the Middle East.
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AI Research
Digital Agency Fuel Online Launches AI SEO Research Division,
Boston, MA – As Google continues to reshape the digital landscape with its Search Generative Experience (SGE) and AI-powered search results, Fuel Online [https://fuelonline.com/] is blazing a trail as the nation’s leading agency in AI SEO [https://fuelonline.com/]and SGE optimization [https://fuelonline.com/].
Recognizing the urgent need for businesses to adapt to AI-first search engines, Fuel Online has launched a dedicated AI SEO Research & Development Division focused exclusively on decoding how AI models like Google SGE read, rank, and render web content. The division’s mission: to test, reverse-engineer, and deploy cutting-edge strategies that future-proof clients’ visibility in an era of AI-generated search answers.
“AI is not the future of SEO – it’s the present . If your content doesn’t rank in SGE, it may never be seen. That’s why we’re investing heavily in understanding and optimizing for how large language models surface content,” said Scott Levy, CEO of Fuel Online Digital Marketing Agency [https://fuelonline.com/].
Fuel Online’s Digital Marketing team is already helping Fortune 500 brands, high-growth startups, and ecommerce leaders gain traction in AI-powered results using proprietary tactics including:
* NLP entity linking & semantic schema
* SGE-optimized content blocks & voice search targeting
* AI-readiness audits tailored for Google’s evolving ranking models
As detailed in their comprehensive Google SGE & AI Optimization Guide [https://fuelonline.com/insights/google-sge-and-ai-optimization-guide-how-to-optimize/], Fuel Online offers strategic insight into aligning websites with Google’s new generative layer. The agency also provides live testing environments, allowing clients to see firsthand how AI engines interpret their content. Why This Matters: According to industry data, click-through rates have dropped by up to 60% on some keywords since the rollout of SGE, as users get direct AI-generated answers instead of traditional blue links. Fuel Online’s AI SEO division helps clients reclaim that lost visibility and win placement inside AI search results. With over two decades of award-winning digital strategy under its belt and a reputation as one of the top digital marketing agencies in the U.S., Fuel Online is once again setting the standard – this time for the AI optimization era.
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