South Korea AI Infrastructure Market (2024-2029)
The South Korea AI Infrastructure Market was valued at $2786.3 Million in 2024 and projected to reach to $9761.9 Million by 2029, representing a compound annual growth rate of 23.2%. South Korea's AI Infrastructure Market is poised for exceptional growth through 2029, driven by the nation's world-class semiconductor manufacturing ecosystem and aggressive government investment in AI technologies.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
South Korea AI Infrastructure Market Trends and Insights
- This represents a compound annual growth rate of 23.2%, significantly outpacing global trends, driven by South Korea's advanced semiconductor capabilities and heavy investment in AI-enabled technologies.
- South Korea's position as a global leader in chip manufacturing and electronics has positioned the nation to capitalize on surging demand for AI computing infrastructure. The forecast period through 2029 reflects South Korea's strategic focus on AI infrastructure development, supported by government initiatives and private sector innovation.
- South Korea's major technology conglomerates and emerging startups are accelerating deployment of GPUs, TPUs, and specialized AI processors to meet domestic and export demand.
- South Korea's robust R&D ecosystem and manufacturing prowess ensure sustained market momentum, with enterprise adoption and cloud service expansion driving infrastructure investments across the region..
Key Market Statistics
- CAGR (2024-2029) 23.2% CAGR
- Market Size, 2024 ~USD 2786.3 Million
- Forecast, 2029 ~USD 9761.9 Million
- Country South Korea
South Korea AI Infrastructure Market Overview
Exceptional Growth Trajectory :
South Korea's AI Infrastructure Market is expanding at 23.2% CAGR, significantly outpacing the global rate of 19.4%, reflecting the nation's strategic focus on AI-driven digital transformation and semiconductor leadership.
Semiconductor Dominance :
As a global semiconductor powerhouse, South Korea leverages its advanced chip manufacturing capabilities to drive AI infrastructure development, with major players like Samsung and SK Hynix investing heavily in AI-optimized processors and data center solutions.
Government-Backed AI Initiative :
South Korea's government has prioritized AI infrastructure as a national strategic asset, with substantial funding and policy support accelerating adoption across industries including manufacturing, healthcare, and financial services.
Market Valuation Surge :
The market is projected to grow from $2,786.3 million in 2024 to $9,761.9 million by 2029, representing a 250% increase and positioning South Korea as a critical hub for AI infrastructure innovation in Asia-Pacific.
South Korea AI Infrastructure Market Dynamics
- The country's tech giants are rapidly expanding data center capacity and developing proprietary AI chips, while startups are innovating in edge computing and specialized AI hardware.
- South Korea's strategic geographic position, skilled workforce, and established supply chain networks create a competitive advantage in serving regional and global AI infrastructure demands. The market's 23.2% CAGR reflects strong demand from enterprise customers seeking advanced computing solutions for AI workloads, cloud services, and autonomous systems.
- Continued government support through R&D funding and favorable regulatory frameworks will sustain momentum.
- However, competition from China and the United States, along with supply chain complexities, present challenges.
- South Korea's focus on differentiation through high-performance, energy-efficient solutions positions it well to capture significant market share in the rapidly expanding global AI infrastructure sector..
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Key Takeaways
- South Korea's AI Infrastructure Market will grow from $2,786.3M (2024) to $9,761.9M (2029) at a 23.2% CAGR, outpacing global growth rates.
- South Korea's semiconductor manufacturing dominance and advanced chip design capabilities position it as a critical hub for AI infrastructure development.
- South Korea's government support and corporate investment in AI technologies are accelerating enterprise adoption and cloud infrastructure expansion.
- South Korea's market growth is driven by increasing demand for specialized AI processors, GPUs, and data center infrastructure across multiple sectors.
AI Infrastructure Market Report Scope
| Report Metric | Details |
|---|---|
| Base Year | 2024 |
| Fastest Growing Segment | NETWORK (Offering) |
| Forecast Period | 2024-2029 |
| Growth Rate | CAGR of 19.4% from 2024 to 2029 |
| Largest Segment | COMPUTE (Offering) |
| Market Size Base Year (Billions) | ~USD 136.14 (2024) |
| Revenue Forecast (Billions) | ~USD 330.37 (2029) |
| Segments Covered | Processor Type, Function, Offering, Compute, Type, Deployment, Application, End User, Enterprise Type, Memory Type, Network Type |
South Korea AI Infrastructure Market Report Segmentation
11 segment dimensions are covered across the global market.
By Processor Type
- Asic-Based Servers
- Fpga-Based Servers
- Gpu-Based Servers
By Function
- Inference
- Training
By Offering
- Compute
- Memory
- Network
- Server Software
- Storage
By Compute
- Athena
- Cpu
- Dojo & Fsd
- Fpga
- Gpu
- Lpu
- Mtia
- Other Asic
- T-Head
- Tpu
- Trainium & Inferentia
By Type
- Autoencoders
- Convolutional Neural Networks (Cnns)
- Ddr
- Deep Learning
- Ethernet
- Generative Adversarial Networks (Gans)
- Hbm
- Infiniband
- Interconnects
- Nic/Network Adapters
- Rule-Based Models
- Statistical Models
- Transformer Models
By Deployment
- Cloud
- Hybrid
- On-Premises
By Application
- Computer Vision
- Generative AI
- Machine Learning
- Natural Language Processing
By End User
- Cloud Service Providers
- Enterprises
- Government Organizations
By Enterprise Type
- Automotive
- Bfsi
- Healthcare
- Media & Entertainment
- Other Enterprises
- Retail & E-Commerce
By Memory Type
- Ddr
- Hbm
By Network Type
- Interconnects
- Nic/Network Adapters
Target Audience
- Technology Investors & PE Firms : Investors seeking high-growth opportunities in Asia-Pacific need detailed South Korea market data to identify portfolio companies, assess valuations, and capitalize on the 23.2% CAGR expansion.
- Semiconductor & Hardware Manufacturers : Chipmakers and hardware vendors require South Korea-specific insights to understand competitive positioning, customer demand patterns, and opportunities to partner with or compete against Korean tech leaders.
- Enterprise IT & Cloud Service Providers : Organizations building AI infrastructure solutions need market intelligence on South Korea's demand drivers, customer requirements, and regulatory landscape to develop targeted offerings for this strategic market.
- Government & Policy Makers : South Korean government agencies and policymakers use market data to evaluate AI infrastructure initiatives, benchmark against global trends, and refine strategic policies supporting industry growth.
- Consulting & Strategy Firms : Management consultants advising clients on AI infrastructure strategy require comprehensive South Korea market analysis to develop informed recommendations and support client decision-making in this region.
Reasons to Buy this Report
- Competitive Intelligence on South Korea : Gain detailed insights into South Korea's AI infrastructure landscape, including market dynamics, key players, and competitive positioning to inform strategic decisions in this high-growth market.
- Investment Opportunity Assessment : Evaluate investment potential in South Korea's AI infrastructure sector with comprehensive market sizing, growth projections, and trend analysis to identify entry points and revenue opportunities.
- Supply Chain & Sourcing Strategy : Understand South Korea's semiconductor and AI infrastructure capabilities to optimize sourcing strategies, identify manufacturing partners, and leverage the nation's advanced production ecosystem.
- Market Entry & Expansion Planning : Access actionable market intelligence specific to South Korea to develop localized go-to-market strategies, identify customer segments, and navigate regulatory requirements for successful market penetration.
- Technology & Innovation Benchmarking : Benchmark your AI infrastructure capabilities against South Korean innovations and identify emerging technologies, R&D trends, and product development opportunities in this innovation-driven market.
Frequently asked questions
What is the current size of South Korea's AI Infrastructure Market?
South Korea's AI Infrastructure Market was valued at $2,786.3 million in 2024 and is projected to reach $9,761.9 million by 2029.
What is the expected growth rate for South Korea's AI Infrastructure Market?
South Korea's AI Infrastructure Market is expected to grow at a compound annual growth rate (CAGR) of 23.2% from 2024 to 2029.
What factors are driving growth in South Korea's AI Infrastructure Market?
South Korea's growth is driven by advanced semiconductor manufacturing capabilities, government AI initiatives, enterprise cloud adoption, and increasing demand for specialized AI processors and data center infrastructure.
How does South Korea's AI Infrastructure Market compare to global trends?
South Korea's 23.2% CAGR significantly exceeds the global average of 19.4%, reflecting the nation's strategic positioning in semiconductor manufacturing and AI technology development.
Which sectors are driving AI infrastructure demand in South Korea?
South Korea's demand is driven by cloud service providers, financial services, manufacturing, telecommunications, and government agencies investing in AI-enabled digital transformation initiatives.
RESEARCH METHODOLOGY
The research process for this technical, market-oriented, and commercial study of the AI infrastructure market included the systematic gathering, recording, and analysis of data about companies operating in the market. It involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) to identify and collect relevant information. In-depth interviews were conducted with various primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess the growth prospects of the market. Key players in the AI infrastructure market were identified through secondary research, and their market rankings were determined through primary and secondary research. This included studying annual reports of top players and interviewing key industry experts, such as CEOs, directors, and marketing executives.
Secondary Research
In the secondary research process, various secondary sources were used to identify and collect information for this study. These include annual reports, press releases, and investor presentations of companies, whitepapers, certified publications, and articles from recognized associations and government publishing sources. Research reports from a few consortiums and councils were also consulted to structure qualitative content. Secondary sources included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers; Journals and certified publications; articles by recognized authors; gold-standard and silver-standard websites; directories; and databases. Data was also collected from secondary sources, such as the International Trade Centre (ITC) (Switzerland), and the International Monetary Fund (IMF).
List of key secondary sources
|
Source |
Web Link |
|
Generative AI Association (GENAIA) |
https://www.generativeaiassociation.org/ |
|
Association for Machine Learning and Application (AMLA) |
https://www.icmla-conference.org/ |
|
Association for the Advancement of Artificial Intelligence |
https://aaai.org/ |
|
European Association for Artificial Intelligence |
https://eurai.org/ |
|
International Monetary Fund |
https://www.umaconferences.com/ |
|
Institute of Electrical and Electronics Engineers (IEEE) |
https://ieeexplore.ieee.org/ |
Primary Research
Extensive primary research was accomplished after understanding and analyzing the AI infrastructure market scenario through secondary research. Several primary interviews were conducted with key opinion leaders from both demand- and supply-side vendors across four major regions—North America, Europe, Asia Pacific, and RoW. Approximately 30% of the primary interviews were conducted with the demand side, and 70% with the supply side. Primary data was collected through questionnaires, emails, and telephonic interviews. Various departments within organizations, such as sales, operations, and administration, were contacted to provide a holistic viewpoint in the report.
Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.
The three tiers of the companies are based on their total revenues as of 2023 ? Tier 1: >USD 1 billion, Tier 2: USD 500 million–1 billion, and Tier 3: USD 500 million.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to perform the market size estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses have been performed on the complete market engineering process to list the key information/insights throughout the report. The following table explains the process flow of the market size estimation.
The key players in the market were identified through secondary research, and their rankings in the respective regions determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, and interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated, supplemented with detailed inputs and analysis from MarketsandMarkets, and presented in this report.
AI Infrastructure Market : Top-Down and Bottom-Up Approach
Bottom-Up Approach
- Initially, the companies offering AI infrastructure were identified. Their products were mapped based on offering, function, deployment, application, and end user.
- After understanding the different types of AI infrastructure offering by various manufacturers, the market was categorized into segments based on the data gathered through primary and secondary sources.
- To derive the global AI infrastructure market, global server shipments of top players for AI servers considered in the report's scope were tracked
- A suitable penetration rate was assigned for computing, memory, network, storage, and server software offerings to derive the shipments of AI infrastructure.
- We derived the AI infrastructure market based on different offerings using the average selling price (ASP) at which a particular company offers its devices. The ASP of each offering was identified based on secondary sources and validated from primaries.
- For the CAGR, the market trend analysis was carried out by understanding the industry penetration rate and the demand and supply of AI infrastructure offerings for different end users.
- The AI infrastructure market is also tracked through the data sanity method. The revenues of key providers were analyzed through annual reports and press releases and summed to derive the overall market.
- For each company, a percentage is assigned to its overall revenue or, in a few cases, segmental revenue to derive its revenue for the AI Infrastructure. This percentage for each company is assigned based on its product portfolio and range of AI infrastructure offerings.
- The estimates at every level, by discussing them with key opinion leaders, including CXOs, directors, and operation managers, have been verified and cross-checked, and finally, with the domain experts at MarketsandMarkets.
- Various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases, have been studied.
Top-Down Approach
- The global market size of AI infrastructure was estimated through the data sanity of major companies.
- The growth of the AI infrastructure market witnessed an upward trend during the studied period, as it is currently in the initial stage of the product cycle, with major players beginning to expand their business into various application areas of the market.
- Types of AI infrastructure offerings, their features and properties, geographical presence, and key applications served by all players in the AI infrastructure market were studied to estimate and arrive at the percentage split of the segments.
- Different types of AI infrastructure offerings, such as compute, memory, and network, storage and server software and their penetration for end users were also studied.
- The market split for AI infrastructure by offering, function, deployment, application, and end user was estimated based on secondary research.
- The demand generated by companies operating in different end-use application segments was analyzed.
- Multiple discussions with key opinion leaders across major companies involved in developing the AI Infrastructure offerings and related components were conducted to validate the offering, function, deployment, application, and end user market split.
- The regional splits were estimated using secondary sources based on factors such as the number of players in a specific country and region and the adoption and use cases of each implementation type with respect to applications in the region.
Data Triangulation
After arriving at the overall size of the AI infrastructure market through the process explained above, the overall market has been split into several segments. Data triangulation procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all the segments, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The market has also been validated using both top-down and bottom-up approaches.
Market Definition
AI infrastructure refers to the foundational technological ecosystem required to develop, deploy, and scale artificial intelligence applications. It encompasses a combination of high-performance computing resources (e.g., GPUs, CPUs, FPGAs, etc.), memory solutions (e.g., DDR, HBM), networking components (e.g., network adapters, interconnects), software, and storage systems optimized for handling AI workloads. AI infrastructure supports both training and inference functions across diverse deployment models, including on-premises, cloud, and hybrid environments. It is utilized in generative AI, machine learning, natural language processing (NLP), and computer vision applications.
Key Stakeholders
- Government and financial institutions and investment communities
- Analysts and strategic business planners
- Semiconductor product designers and fabricators
- Application providers
- AI solution providers
- AI platform providers
- AI system providers
- Manufacturers and AI technology users
- Business providers
- Component and device suppliers and distributors
- Professional service/solution providers
- Research organizations
- Technology standard organizations, forums, alliances, and associations
- Technology investors
- Investors (private equity firms, venture capitalists, and others)
Report Objectives
- To define, describe, segment, and forecast the size of the AI infrastructure market, in terms of value, based on offering, function, deployment, application, end user, and region
- To forecast the size of the market segments for four major regions—North America, Europe, Asia Pacific, and RoW
- To define, describe, segment, and forecast the size of the AI infrastructure market, in terms of volume, based on offering.
- To give detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the market
- To provide an value chain analysis, ecosystem analysis, case study analysis, patent analysis, Trade analysis, technology analysis, pricing analysis, key conferences and events, key stakeholders and buying criteria, Porter's five forces analysis, investment and funding scenario, and regulations pertaining to the market
- To provide a detailed overview of the value chain analysis of the AI infrastructure ecosystem
- To strategically analyze micromarkets1 with regard to individual growth trends, prospects, and contributions to the total market
- To analyze opportunities for stakeholders by identifying high-growth segments of the market
- To strategically profile the key players, comprehensively analyze their market positions in terms of ranking and core competencies2, and provide a competitive market landscape.
- To analyze strategic approaches such as product launches, acquisitions, agreements, and partnerships in the AI infrastructure market
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information:
- Detailed analysis and profiling of additional market players (up to 7)
Get the Full AI Infrastructure Market Report
Full forecast, segment splits, and company analysis for all AI Infrastructure Market.
- US AI Infrastructure Market
- Canada AI Infrastructure Market
- Mexico AI Infrastructure Market
- UK AI Infrastructure Market
- Germany AI Infrastructure Market
- France AI Infrastructure Market
- Spain AI Infrastructure Market
- Italy AI Infrastructure Market
- Rest Of Europe AI Infrastructure Market
- China AI Infrastructure Market
- Japan AI Infrastructure Market
- India AI Infrastructure Market
- Rest Of Asia Pacific AI Infrastructure Market
- GCC AI Infrastructure Market
- Rest Of Middle East AI Infrastructure Market
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