Technology
AI in Healthcare Market to Grow by USD 20.34 Billion (2024-2028), Driven by Healthcare Digitization, AI-Powered Report Highlights Market Transformation – Technavio
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2 years agoon
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NEW YORK, Nov. 13, 2024 /PRNewswire/ — Report with the AI impact on market trends – The global artificial intelligence (AI) in healthcare market size is estimated to grow by USD 20.34 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 29.52% during the forecast period. Push for digitization in healthcare is driving market growth, with a trend towards new growing potential for ai-based tools in elderly care. However, physician and provider skepticism poses a challenge.Key market players include Ada Health GmbH, Alphabet Inc., Amazon.com Inc., Atomwise Inc., BenchSci Analytics Inc., CarePredict Inc., Catalia Health, Cyclica, Deep Genomics Inc., Entelai, Exscientia PLC, General Electric Co., Intel Corp., International Business Machines Corp., Koninklijke Philips N.V., MaxQ AI, Medtronic Plc, Microsoft Corp., NVIDIA Corp., and Siemens Healthineers AG.
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Forecast period
2024-2028
Base Year
2023
Historic Data
2017 – 2021
Segment Covered
Application (Medical imaging and diagnostics, Drug discovery, Virtual assistants, Operations management, and Others), Component (Software, Hardware, and Services), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)
Region Covered
North America, Europe, APAC, South America, and Middle East and Africa
Key companies profiled
Ada Health GmbH, Alphabet Inc., Amazon.com Inc., Atomwise Inc., BenchSci Analytics Inc., CarePredict Inc., Catalia Health, Cyclica, Deep Genomics Inc., Entelai, Exscientia PLC, General Electric Co., Intel Corp., International Business Machines Corp., Koninklijke Philips N.V., MaxQ AI, Medtronic Plc, Microsoft Corp., NVIDIA Corp., and Siemens Healthineers AG
Key Market Trends Fueling Growth
Artificial Intelligence (AI) is revolutionizing the healthcare industry with intelligent agents like machine learning and artificial neural networks. These technologies analyze patient health details using digital technologies, focusing on chronic diseases and personalized medicines. AI’s predictive analytics and content analytics provide real-time insights from medical images such as X-rays, CT scans, and MRIs, ensuring data security and standardization. Cloud computing and IoT devices enable remote patient monitoring and telehealth services, improving clinical decision-making and virus strain identification. AI applications in diagnostics, treatment planning, and personalized care plans enhance patient outcomes. AI-powered solutions in medicine, clinical trials, drug discovery, and development streamline IT infrastructure and resource allocation. Virtual assistants and companion robots offer personalized care plans and medication management. AI algorithms and machine learning integrate with claims processing and workflow optimization, reducing dosage errors and fraud detection. Genomic sequencing and AI-based software solutions provide personalized treatment plans using big data analytics. Healthcare organizations, providers, payers, and patients benefit from AI-based solutions, including robot-assisted surgeries, computer vision, IoT sensors, and AI-based software solutions.
The global population aged 60 and above is projected to double from 605 million in 2000 to nearly 2 billion by 2050. This demographic shift is particularly noticeable in Europe, Japan, and China. In the US, the elderly population is projected to account for 20% of the total population by 2030. This trend poses significant economic, social, and health implications for these countries. In response, the healthcare industry is developing innovative solutions to cater to the unique needs of the aging population. These advancements include telemedicine, AI-assisted diagnosis, and remote patient monitoring systems. By leveraging technology, healthcare providers aim to improve patient outcomes, reduce costs, and enhance overall efficiency.
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Market Challenges
Artificial Intelligence (AI) is revolutionizing healthcare by enabling intelligent agents like machine learning and artificial neural networks to analyze vast amounts of patient health data. This data comes from digital technologies such as electronic health records, IoT devices, and medical imaging scans like X-rays, CT scans, and MRIs. AI applications in healthcare include personalized medicines, predictive analytics, content analytics, and real-time insights for chronic disease management. However, challenges persist. Data security, standardization, and IT infrastructure are key concerns. AI must ensure the privacy and protection of patient data while dealing with big data analytics. AI-powered solutions can help with clinical decision-making, virus strain identification, and personalized care plans for elderly care and lifestyle diseases. Telehealth and telemedicine are also areas where AI can improve patient outcomes by providing remote patient monitoring and real-time insights. AI is also transforming clinical practice with AI-based algorithms for claims processing, workflow optimization, and machine integration. Deep learning technology and computer vision are being used for medical imaging analysis, while AI-powered software solutions are enhancing medication management and treatment planning. AI is also playing a crucial role in drug discovery and development, with genomic sequencing and AI-based algorithms accelerating the process. Despite these advancements, there are challenges to overcome. Data security, standardization, and clinical practice integration are ongoing concerns. AI solutions must be integrated seamlessly into healthcare organizations, ensuring cybersecurity and innovation. AI is also transforming robot-assisted surgeries, dosage error reduction, and fraud detection. The future of AI in healthcare is bright, with AI-powered solutions set to transform the industry and improve patient care services.Artificial Intelligence (AI) is revolutionizing healthcare by providing connected services and addressing the shortage of medical professionals. Skepticism among doctors is common, but AI offers advantages such as enhanced diagnostics and more time for critical cases. However, AI solutions are still in development and have yet to significantly impact mainstream practice. To increase adoption, technology vendors and life sciences companies must focus on user experience and innovative offerings. AI’s potential to transform healthcare is significant, but careful implementation is necessary to ensure value and trust.
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Segment Overview
This artificial intelligence (ai) in healthcare market report extensively covers market segmentation by
Application 1.1 Medical imaging and diagnostics1.2 Drug discovery1.3 Virtual assistants1.4 Operations management1.5 OthersComponent 2.1 Software2.2 Hardware2.3 ServicesGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa
1.1 Medical imaging and diagnostics- Medical imaging is a crucial aspect of healthcare, involving the creation of visual representations of the body for clinical analysis and diagnosis. Radiology, the science behind interpreting these images, utilizes tools like X-rays, CAT scans, and MRIs. Managing and analyzing the vast amounts of high-resolution medical imaging data is challenging for even large healthcare institutions and experienced professionals. The increasing volume of data and the need for radiologists to work more efficiently will fuel the adoption of Artificial Intelligence (AI) in medical imaging. Nearly 90% of healthcare data originates from medical imaging, making it a valuable source of patient information. Healthcare organizations are implementing AI-driven image processing to identify health patterns and diagnose patients with accuracy and speed. Key players in the healthcare sector, including providers, manufacturers, and imaging technology vendors, are integrating AI into their products and services. Imaging research laboratories are developing advanced AI systems for modernizing medical imaging, focusing on reducing noise, improving computer-aided detection, classification, and radio genomics. AI systems employ Deep Learning (DL) and Machine Learning (ML) algorithms to aid expert physicians in clinical interpretation tasks, resulting in fewer diagnostic errors, enhanced patient care, and increased efficiency at a lower cost. The growing use of medical imaging data and AI technology in healthcare practices will continue to drive the growth of the medical imaging market in the forecast period.
Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2024-2028) and historic data (2017 – 2021)
Research Analysis
Artificial Intelligence (AI) is revolutionizing healthcare by introducing intelligent agents like machine learning and artificial neural networks to analyze vast amounts of patient health data. These technologies enable the identification of patterns and trends, leading to personalized medicines for chronic diseases. Data analytics, fueled by deep learning technology and computing power, are transforming healthcare by providing insights from big data. AI applications include personalized care plans, health monitoring through wearable devices and companion robots, medication management, and virtual assistants. AI-powered solutions also excel in medical imaging analysis, predictive analytics for personalized treatment planning, and drug discovery. Healthcare data, including medical imaging scans and genomic sequencing, are analyzed to deliver accurate and timely diagnoses and treatments. AI is set to revolutionize clinical decision-making, making healthcare more efficient, effective, and personalized.
Market Research Overview
Artificial Intelligence (AI) is revolutionizing the healthcare industry by enabling intelligent agents to learn from digital technologies and patient health details. Machine learning and artificial neural networks are at the core of this transformation, analyzing vast healthcare datasets to deliver personalized medicines and predictive analytics. Deep learning technology and content analytics provide real-time insights into patient care services, while cloud computing and IoT devices enable remote patient monitoring and standardization of clinical practice. AI applications in healthcare span from diagnostics and treatment planning to drug discovery and development. AI-powered solutions analyze medical images, such as X-rays, CT scans, and MRIs, to detect virus strains and provide personalized care plans. Data security and standardization are crucial in this context, ensuring the confidentiality and integrity of patient health data. Telehealth, telemedicine, and clinical trials also benefit from AI, with AI-based software solutions optimizing workflows, integrating machines, and enhancing cybersecurity. AI algorithms and AI-based algorithms are transforming clinical decision-making, enabling resource allocation and personalized treatment plans for chronic diseases, geriatric population, and lifestyle diseases. AI applications extend to companion robots, virtual assistants, and medication management, improving healthcare outcomes for patients and healthcare organizations alike. AI-powered solutions are also revolutionizing claims processing, dosage error reduction, and fraud detection, while AI algorithms analyze genomic sequencing and genomic information to accelerate drug discovery and development. In summary, AI is transforming the healthcare industry by enabling personalized medicine, predictive analytics, real-time insights, and resource allocation, ultimately improving patient care and outcomes. The software segment, including non-procedural languages, deep learning, and artificial neural networks, plays a crucial role in this transformation. AI-based solutions are revolutionizing medical imaging analysis, patient data analysis, wearables, cancer care, and healthcare data management, among other applications. The future of healthcare is AI-driven, with AI-powered solutions set to transform clinical practice, resource allocation, and patient care services.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
ApplicationMedical Imaging And DiagnosticsDrug DiscoveryVirtual AssistantsOperations ManagementOthersComponentSoftwareHardwareServicesGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/
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SOURCE Technavio
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NAVER Partners with Brookfield and NVIDIA to Expand Korea’s National AI Factory Infrastructure Buildout
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SAN FRANCISCO, July 25, 2026 /PRNewswire/ — NAVER, Brookfield and NVIDIA announced an expansion of Korea’s sovereign AI factory infrastructure. New investments will increase the initial NVIDIA DSX™ AI factory deployment from 55 megawatts to 200 megawatts.
Announced during Korea President Jae Myung Lee’s AI Summit visit to San Francisco, the planned 200-megawatt expansion will be built with the NVIDIA DSX platform at NAVER’s GAK Sejong hyperscale data center in Sejong, South Korea. The expanded infrastructure will provide Korea- and U.S.- based AI innovators with access to production-scale AI compute for building next-generation models, agents and AI-powered services.
Under the terms of the agreements, Brookfield will fund up to $9 billion as the exclusive capital partner, NVIDIA will invest $1 billion and NAVER will fund the remaining amount to finance the $10 billion project.
This builds on NAVER’s June announcement to extend its GAK Sejong data center with NVIDIA DSX, with a long-term path to gigawatt-scale sovereign AI infrastructure serving Korea’s enterprises, industries, government organizations and global AI cloud customers. Combining Brookfield’s capital with NVIDIA’s computing platform, the investment supports NAVER’s AI factory deployment.
“NVIDIA’s strategic investment and our infrastructure supply agreement with Brookfield have propelled NAVER’s vision for the AI Factory business into a robust execution phase,” said Haejin Lee, Founder and Chairman of NAVER. “Leveraging the solid partnerships with our global partners, we will drive technological innovation, foster a sovereign AI ecosystem, and spearhead efforts to strengthen South Korea’s AI competitiveness.”
AI Factory Expansion and Open Model Collaboration to Fuel AI Innovators
NAVER, as an NVIDIA Cloud Partner, provides deep expertise in operating hyperscale infrastructure powered by the full-stack NVIDIA AI platform. The 200-megawatt AI factory, featuring NVIDIA Vera Rubin and Blackwell platforms, will establish a dedicated resource pool for emerging AI companies, providing the compute, software and support needed to develop and deploy competitive AI models and applications at scale.
This expanded infrastructure also builds on NAVER and NVIDIA’s collaboration on open model development for agentic and physical AI. NAVER is advancing its HyperCLOVA X models to be based on NVIDIA Nemotron™ 3 Ultra open models with its proprietary data and training expertise. NAVER is also the first Korean company to join the NVIDIA Nemotron Coalition, contributing to open model development across pretraining, post-training and reinforcement learning.
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About NAVER
Founded in 1999, NAVER is Korea’s largest Internet company and one of the world’s top tech companies. Leading cutting-edge technologies, NAVER operates the No.1 search engine in Korea and holds various business portfolios encompassing commerce, fintech, cloud, AI and robotics.
NAVER recorded sales of KRW 12.04 trillion (USD 8.18 billion) in 2025. TEAM NAVER continues to enhance its business portfolio and expand its global presence across Japan, North America, and Europe, while pursuing innovation through continuous research and development in future technologies.
View original content:https://www.prnewswire.com/news-releases/naver-partners-with-brookfield-and-nvidia-to-expand-koreas-national-ai-factory-infrastructure-buildout-302834577.html
SOURCE NAVER
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Beijing Review: Walking Through Time: China and U.S. Youths Explore Dali’s Past and Future
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BEIJING, July 24, 2026 /PRNewswire/ — On July 17, a China-U.S. youth delegation came to Dali of Yunnan Province. By examining how Dali’s rich history intersects with modern development, the delegates explored new pathways for rural development.
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In Yunnanyi Village, they explored its history as a stop along the Tea Horse Road and learned about the role it played during the Second World War (WWII).
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“I recently started studying energy transitions. I know China has been really big in the renewable energy sector. So actually getting to hear more about [China’s] 2060 [pledge], learning more about carbon neutrality [goals], as well as other zero-carbon goals, was cool.”
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After Dali, the delegates will visit Beijing for more tours and exchanges. The event was co-hosted by China International Communications Group (CICG) Center for the Americas and the U.S.-based International Student Conferences.
https://x.com/beijingreview/status/2080104404552663067?s=46&t=yfVMVdMyE2zKAFrYaLoV-g
https://www.facebook.com/share/v/1EtGCCKzy4/?mibextid=wwXIfr
https://youtu.be/jGONWTqwduc?is=KfL-Zn3HyVYE-KEm
Contact: Jiaweibellapeng@163.com
View original content:https://www.prnewswire.com/news-releases/beijing-review-walking-through-time-china-and-us-youths-explore-dalis-past-and-future-302834587.html
SOURCE Beijing Review
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Hyundai Motor Group Executive Chair Euisun Chung Announces Physical AI Vision at San Francisco AI Summit
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July 25, 2026By
Hyundai Motor Group shares roadmap for realizing its Physical AI vision and collaboration strategy with global tech leaders at the San Francisco AI SummitExecutive Chair Euisun Chung presented, “Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing to become a Physical AI solution company,” adding, “The ultimate Physical AI vision we pursue is the realization of integrated intelligence at the city level”The Group to leverage manufacturing competitiveness and leading robotics capabilities centered on Boston Dynamics, while establishing a data flywheel system connecting real-world operational data with continuous AI model advancementThe Group to leverage strategic partnerships with global technology leaders, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMindThe Group to collaborate with NVIDIA to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities
… The initiative to support Korea’s Physical AI industry through an open ecosystem
The Group to cultivate strategic domestic hubs through investments in Saemangeum AI Valley and future advanced industries in Korea’s Yeongnam region
SAN FRANCISCO, July 25, 2026 /PRNewswire/ — Hyundai Motor Group (the Group) Executive Chair Euisun Chung today outlined the Group’s vision and strategy for Physical AI at the San Francisco AI Summit held in San Francisco, California.
The event brought together approximately 150 attendees, including Executive Chair Chung, business leaders from major Korean companies, executives from leading U.S. technology firms, startup representatives and students.
At the summit, Executive Chair Chung presented the Group’s roadmap for advancing Physical AI and outlined strategic collaboration plans with global technology leaders.
“Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing by expanding into autonomous driving, robotics and AI Defined Factories, accelerating our transformation into a Physical AI solution company.” — Hyundai Motor Group Executive Chair Euisun Chung
Accelerating the Transition to a Physical AI Solution Company
Hyundai Motor Group’s Physical AI vision extends beyond intelligent devices such as vehicles and robots to intelligent spaces, including AI factories where AI seamlessly connects and optimizes entire operations. Ultimately, the Group envisions integrated intelligence at the city level, where urban infrastructure is organically connected and operated through AI.
A key differentiator for the Group is its ability to create a data flywheel that continuously connects real-world operations with AI advancement. Drawing on extensive experience in large-scale manufacturing, mobility, robotics and service operations, the Group is positioned to deploy, refine and scale Physical AI technologies in real industrial environments.
Executive Chair Chung also outlined strategic partnerships with leading technology companies, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind, to further advance Physical AI capabilities.
By combining Hyundai Motor Group’s manufacturing competitiveness, mobility and robotics technologies and extensive operational data with the AI infrastructure and algorithm capabilities of global technology leaders, the Group aims to help foster a new innovation ecosystem for the Physical AI era.
Executive Chair Chung also introduced initiatives designed to support the growth of Korea’s robotics and AI ecosystem, including the development of a Robot Reference Platform with NVIDIA that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities, as well as investments in initiatives such as the Saemangeum AI Valley.
Physical AI Vision: From Intelligent Devices to Integrated Intelligence at the City Level
During the summit, Executive Chair Chung presented Hyundai Motor Group’s Physical AI vision.
“The ultimate Physical AI vision Hyundai Motor Group pursues begins with intelligent devices such as vehicles and robots, expands to intelligent spaces such as AI factories, and ultimately realizes integrated intelligence at the city level, where urban infrastructure is seamlessly connected and operated.” — Hyundai Motor Group Executive Chair Chung
The Group’s vision begins with intelligent devices, where AI capabilities enhance vehicles and robots. It then expands to intelligent spaces, including AI factories where AI autonomously integrates logistics, production and quality management across entire operations.
Ultimately, Hyundai Motor Group envisions city-level intelligence, where critical infrastructure and assets — including energy, mobility and robotics systems — are connected and optimized in real time.
Executive Chair Chung also highlighted the Group’s key strengths in realizing its Physical AI vision:
World-class manufacturing competitiveness: Hyundai Motor Group has built extensive expertise through decades of operating global manufacturing facilities, managing quality systems and optimizing supply chains. This foundation enables the Group to apply AI technologies to products, processes and services while rapidly validating and scaling innovations in real-world environments.Leading robotics capabilities: Hyundai Motor Group has established robotics as a key pillar of its future business portfolio. Boston Dynamics’ quadruped robot Spot®, logistics robot Stretch®, and Hyundai Motor Group Robotics LAB’s next-generation mobile robot platform MobED are recognized for combining technological competitiveness with real-world applicability.
In particular, the humanoid robot Atlas® is emerging as a representative example of Physical AI, supporting and collaborating with people across manufacturing, logistics and mobility environments.
Establishing a data flywheel system: Hyundai Motor Group is establishing a data flywheel system that leverages data generated across manufacturing operations, vehicles, logistics systems and robotics demonstrations to continuously advance AI models. Enhanced algorithms are then reapplied to real-world operations, creating a virtuous cycle that improves performance and strengthens Physical AI capabilities.
Accelerating the Future of Physical AI Through Partnerships with Global Tech Leaders
Executive Chair Chung also outlined concrete initiatives to position Hyundai Motor Group as a leader in human-centered Physical AI through strategic collaborations with NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind.
“By combining Hyundai Motor Group’s strengths in manufacturing, robotics and data with the capabilities of global technology leaders, we can help create a new innovation ecosystem for the Physical AI era.” — Hyundai Motor Group Executive Chair Euisun Chung
NVIDIA – Advancing Physical AI infrastructure and talent development
Hyundai Motor Group is expanding collaboration with NVIDIA to strengthen Physical AI infrastructure and cultivate AI talent. Building on a supply agreement for 50,000 NVIDIA Blackwell GPUs and a memorandum of understanding signed last year to advance Korea’s Physical AI capabilities, the Group is pursuing a range of initiatives, including the establishment of Hyundai Motor Group Robot Application Center, as well as various collaborations aimed at strengthening Korea’s Physical AI infrastructure and AI talent ecosystem, including the NVIDIA’s AI Technology Center.
In manufacturing, the Group is leveraging NVIDIA’s platform to create more sophisticated digital twins of production facilities, enhancing process design, operational optimization and validation efficiency. The collaboration also includes the integration of NVIDIA’s autonomous driving solutions, including automotive semiconductors, sensors and architecture, with Hyundai Motor Group vehicle platforms.
Waymo – Strengthening autonomous driving collaboration
Hyundai Motor Group continues to strengthen its strategic partnership with Waymo in the autonomous driving sector to support the development of a safe and innovative autonomous driving ecosystem. Autonomous driving vehicles require a wide range of specialized capabilities, including redundant systems for steering, braking, power and communications, dedicated features such as power-operated doors, as well as enhanced functional safety and cybersecurity technologies.
Hyundai Motor Group plans to produce IONIQ 5 vehicles with specific autonomous-ready modifications at Hyundai Motor Group Metaplant America (HMGMA) in Georgia.
Google DeepMind – Accelerating next-generation humanoid robotics
Boston Dynamics has established a strategic partnership with Google DeepMind to accelerate the development of next-generation humanoid robots. Advanced AI models and training systems are essential for robots to perform complex tasks in real-world environments and collaborate effectively with people. Through this partnership, Boston Dynamics robots are expected to achieve greater autonomy and adapt more effectively to complex operating environments.
Hyundai Motor Group plans to establish a robot production facility in the U.S. with an annual capacity of up to 30,000 units by 2028. The Atlas humanoid robot will first be deployed at production facilities including HMGMA before broader deployment is expanded through phased validation.
Building an Open Ecosystem Through the Robot Reference Platform and Continued Investment in Korea’s Physical AI Future
Executive Chair Chung also outlined initiatives aimed at supporting the growth of Korea’s Physical AI ecosystem through open collaboration and continued investment.
“The outcomes of collaboration with global technology leaders should contribute to the growth of Korea’s Physical AI industry. To that end, Hyundai Motor Group plans to foster an open ecosystem that supports innovation in robotics and AI technologies.” — Hyundai Motor Group Executive Chair Euisun Chung
Key initiatives to build an open ecosystem for robotics and AI innovation include:
Robot Reference Platform: Hyundai Motor Group and NVIDIA are collaborating to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities.
The platform will provide research robot models to universities, research institutes and startups, helping foster an open ecosystem that supports technological innovation and the development of Physical AI talent while contributing to the broader growth of Korea’s robotics and AI industries.
Supporting universities, research institutes and startups: The Robot Reference Platform is expected to provide universities, research institutes and startups with a standardized hardware and software environment, enabling them to more easily develop and validate Physical AI technologies. The initiative aims to help address challenges faced by organizations with innovative ideas but limited access to commercialization opportunities and validation infrastructure.
Hyundai Motor Group is also continuing large-scale investments aimed at driving the next leap forward in Korea’s industrial and technology ecosystem. Continued investments in Korea’s industrial and technology ecosystem include:
Saemangeum AI Valley: In the Saemangeum region of Jeonbuk State, the Group is developing Saemangeum AI Valley, which includes an approximate KRW 9 trillion investment in AI data centers, robotics manufacturing clusters, electrolyzer plants and AI hydrogen city infrastructure.
In particular, the robotics manufacturing cluster will serve not only as a production base for the Group’s own robotics products, but also as a robotics foundry that provides manufacturing services for small and medium-sized enterprises that lack manufacturing expertise.
Advanced industrial hubs in the Yeongnam region: Hyundai Motor Group plans to invest a total of KRW 42 trillion over the next decade to foster advanced industrial hubs focused on AI-driven manufacturing, future aerospace industries and sustainable energy infrastructure.
Through these initiatives, Hyundai Motor Group aims to strengthen key foundations for the Physical AI era, including data and energy infrastructure, robotics production capabilities and real-world validation capabilities. The Group also expects these investments to contribute to enhanced industrial competitiveness, balanced regional development, job creation and broader economic vitality in Korea.
About Hyundai Motor Group
Hyundai Motor Group is a global enterprise that has created a value chain based on mobility, steel, and construction, as well as logistics, finance, IT, and service. With about 250,000 employees worldwide, the Group’s mobility brands include Hyundai, Kia, and Genesis. Armed with creative thinking, cooperative communication, and the will to take on any challenges, we strive to create a better future for all.
More information about Hyundai Motor Group can be found at: http://www.hyundaimotorgroup.com or Newsroom: Media Hub by Hyundai, Kia Global Newsroom, Genesis Newsroom
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SOURCE Hyundai Motor Company
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