South Korea Modern AI Infrastructure Market was valued at USD 1 Billion in 2022 and is projected to reach USD 3 Billion by 2030, growing at a CAGR of 17% from 2024 to 2030.
The South Korean modern AI infrastructure market has emerged as a critical component of the country’s digital transformation. With industries across various sectors, including manufacturing, healthcare, and finance, rapidly adopting artificial intelligence, the need for robust and scalable AI infrastructure is becoming more pressing. As South Korea aims to maintain its position as a global technology leader, the development of AI infrastructure is vital to support AI-driven innovation.
The demand for advanced AI infrastructure in South Korea is being fueled by industries’ increasing reliance on machine learning models, big data analytics, and automation systems. To keep up with these demands, businesses are investing in cloud computing services, high-performance computing hardware, and AI-optimized data centers. In fact, as per market projections, South Korea’s AI infrastructure sector is expected to see substantial growth in the coming years, with cloud services and AI hardware leading the way.
The need for these technologies is particularly evident in industries like healthcare, where AI-driven tools for diagnostics, personalized treatment, and medical research are becoming essential. AI algorithms require immense computational power, which is only possible with modern infrastructure capable of handling massive datasets in real time. Similarly, the finance industry is heavily investing in AI infrastructure for fraud detection, predictive analytics, and risk management, all of which rely on high-performing computational resources.
As the demand for AI infrastructure expands, industries are also looking for solutions that offer scalability, flexibility, and security. Companies are seeking infrastructure solutions that can support both on-premise and cloud-based AI applications while ensuring that sensitive data is protected against cyber threats. Furthermore, AI infrastructure needs to be cost-effective, offering organizations the ability to scale resources up or down depending on their needs.
The South Korean government’s role in developing this market cannot be overstated. Government policies, such as funding for AI research, innovation hubs, and partnerships with global tech companies, are helping to shape the future of AI infrastructure in the country. These efforts are designed to ensure that South Korea remains at the forefront of AI development, providing the necessary infrastructure to support the growing demand from industries across the board.
In summary, the modern AI infrastructure market in South Korea is witnessing significant growth driven by the increasing adoption of AI technologies across various industries. With the right investments in cloud services, computing power, and secure data solutions, businesses can fully leverage the potential of AI to drive innovation and efficiency.
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NVIDIA Corporation
Intel Corporation
Oracle Corporation
Samsung Electronics
Micron Technology
Advanced Micro Devices
IBM Corporation
Microsoft Corporation
Amazon Web Services
Oracle
Graphcore
SK hynix
Cisco
AI Solutions
Dell Technologies
HPE
Toshiba
Gyrfalcon Technology Inc
Imagination Technologies
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the South Korea Modern AI Infrastructure Market
On-Premises Deployment
Cloud-Based Deployment
Hybrid Deployment
Servers
Graphics Processing Units (GPUs)
Network Components
Healthcare
Finance
Retail
Manufacturing
Telecommunications
Small and Medium Enterprises (SMEs)
Large Enterprises
Government Organizations
Educational Institutions
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
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1. Introduction of the South Korea Modern AI Infrastructure Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. South Korea Modern AI Infrastructure Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. South Korea Modern AI Infrastructure Market, By Type
6. South Korea Modern AI Infrastructure Market, By Application
7. South Korea Modern AI Infrastructure Market, By Geography
Asia-Pacific
China
Japan
Korea
India
Australia
Indonesia
Thailand
Philippines
Malaysia and Vietnam
8. South Korea Modern AI Infrastructure Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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