South Korea AI Chip Market
South Korea AI Chip Market by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory {DRAM (HBM, DDR)}, Network {NIC/Network Adapters, Interconnects}), Function (Training, Inference), & Region - Forecast to 2032
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The South Korea AI Chip market is projected to reach USD 14.68 billion by 2032 from USD 2.49 billion in 2024, at a CAGR of 19.4% from 2025 to 2032. The South Korea AI chip market is witnessing strong growth, driven by increasing demand for high-performance computing and rapid adoption of artificial intelligence across data centers, consumer electronics, and automotive applications. The country’s leadership in memory technologies, particularly HBM, is strengthening its position in the global AI semiconductor value chain. Rising investments in AI infrastructure, coupled with government initiatives to build a domestic AI chip ecosystem, are further accelerating market expansion. Additionally, the emergence of local AI chip startups is supporting long-term growth.
KEY TAKEAWAYS
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By ComputeThe GPU segment dominates the South Korea AI chip market with approximately 60–65% share, driven by strong demand for AI training and high-performance computing workloads across hyperscale data centers.
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By MemoryBy memory, the HBM segment is expected to register the highest growth in the South Korea AI chip market, with a projected CAGR of around 25–30%, supported by strong production capabilities of SK Hynix and Samsung.
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By NetworkBy network, NICs and network adapters dominate the South Korea AI chip market in 2025, supported by increasing demand for high-speed connectivity and efficient data transfer across AI data centers and cloud infrastructure.
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By FunctionBy function, the inference segment is projected to grow at the highest rate in the South Korea AI chip market, driven by increasing adoption of AI applications across edge devices, smart electronics, and enterprise systems.
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By TechnologyBy technology, machine learning dominated the South Korea AI chip market in 2024, accounting for approximately 40–45% share, driven by widespread adoption across industries for automation, analytics, and intelligent decision-making.
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By End UserBy end user, the data center segment is expected to grow at a high rate in the South Korea AI chip market, with a projected CAGR of around 18–22%, driven by increasing investments in hyperscale infrastructure and cloud-based AI services.
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Competitive Landscape - Star PlayersSamsung Electronics Co., Ltd., SK Hynix Inc., and NVIDIA Corporation are identified as leading players in the South Korea AI chip market, supported by strong memory leadership, advanced AI chip capabilities, and strategic global partnerships.
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Competitive Landscape - StartupsCompanies such as Rebellions Inc., FuriosaAI, and DeepX are emerging as key startups in the South Korea AI chip market, gaining traction through innovation in AI accelerators and increasing adoption in data center and edge AI applications.
The South Korea AI chip market is witnessing rapid growth, driven by increasing adoption of artificial intelligence across data centers, consumer electronics, automotive, and industrial applications. Strong government support, along with investments in AI infrastructure and semiconductor manufacturing, is accelerating market expansion. South Korea’s leadership in memory technologies, particularly HBM, and advancements in high-performance computing are strengthening its position in the global AI value chain. Additionally, the emergence of domestic AI chip startups and growing integration of AI in edge devices are further driving market growth.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The South Korea AI chip market is transitioning from traditional memory- and compute-driven revenue streams, such as DDR and CPUs, toward advanced AI-centric architectures including GPUs, HBM, and custom NPUs/ASICs. This shift is driven by increasing adoption of generative AI, smart manufacturing, autonomous systems, and edge AI applications, along with strong government support and investments in semiconductor innovation. Key customers include hyperscale cloud providers, data center operators, telecom companies, and AI hardware OEMs, serving end users such as AI developers, smart factory operators, automotive OEMs, and smart city infrastructure providers. These advancements are enabling outcomes such as improved compute performance, lower latency, enhanced automation and productivity, optimized network efficiency, and reduced operational costs across industries.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Level
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Strong demand for AI-driven data processing and high-performance computing across industries
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Increasing investments in hyperscale data centers and AI infrastructure
Level
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Shortage of skilled workforce in AI chip design and semiconductor engineering
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High cost of advanced node fabrication and AI chip development
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Growing demand for AI chips in automotive, robotics, and smart manufacturing
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Government initiatives to build a domestic AI semiconductor ecosystem
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Managing data privacy and security concerns in AI deployments
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Supply chain constraints in advanced packaging and semiconductor equipment
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Strong demand for AI-driven data processing and high-performance computing across industries
South Korea is witnessing increasing demand for AI-driven data processing across industries such as manufacturing, automotive, and telecommunications. The rise of smart factories, 5G infrastructure, and generative AI applications is driving the need for high-performance computing solutions. This is accelerating the adoption of advanced AI chips, particularly GPUs, NPUs, and high-bandwidth memory.
Restraint: Shortage of skilled workforce in AI chip design and semiconductor engineering
The South Korea AI chip market faces challenges due to a shortage of skilled professionals in AI chip design and advanced semiconductor engineering. Developing cutting-edge AI processors requires expertise in areas such as chip architecture, software integration, and advanced fabrication technologies. This talent gap may slow innovation and limit the speed of domestic AI chip development.
Opportunity: Growing demand for AI chips in automotive, robotics, and smart manufacturing
South Korea is experiencing strong growth in demand for AI chips across automotive, robotics, and smart manufacturing applications. The increasing adoption of autonomous driving technologies, industrial automation, and intelligent robotics is creating new opportunities for AI semiconductor solutions. This trend is encouraging both established players and startups to develop specialized AI accelerators tailored to these use cases.
Challenge: Managing data privacy and security concerns in AI deployments
As AI adoption expands, concerns around data privacy and security are becoming more critical in South Korea. AI systems rely on large volumes of sensitive data, increasing risks related to data breaches and misuse. Ensuring compliance with regulations and implementing secure AI infrastructure remains a key challenge for market participants.
SOUTH KOREA AI CHIP MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
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Deployment of High Bandwidth Memory (HBM) chips and advanced AI semiconductor packaging technologies for data centers, AI training/inference infrastructure, and global partnerships, including OpenAI’s Stargate project. | High-speed AI memory bandwidth | Accelerated large-scale model training and inference | Strengthened global supply chain leadership in AI infrastructure |
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Large-scale deployment of HBM3E and next-generation HBM4 chips for AI accelerators in data centers and supply to NVIDIA GPUs and major AI providers. | Dominant market share in AI-specific memory | Enhanced energy efficiency and performance for AI servers | Record revenue growth from AI-driven demand |
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Implementation of NPU chips (RebelQuad and ATOM) for high-volume AI inference in data centers, telecom networks (SK Telecom, KT), and sovereign AI computing platforms. | Energy-efficient scalable inference | Cost-effective domestic alternative to foreign GPUs | Promotion of national AI sovereignty and large-scale deployments |
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MARKET ECOSYSTEM
The South Korea AI chip market operates as a highly integrated and collaborative ecosystem, where semiconductor designers, manufacturers, chip providers, and end-user industries work together to develop and deploy advanced AI solutions. The ecosystem is strongly supported by the country’s leadership in memory technologies and growing capabilities in AI chip design, particularly in accelerators and edge AI processors. Manufacturers and fabrication facilities play a critical role in enabling advanced node production and high-bandwidth memory integration, which are essential for AI workloads. Chip providers supply a diverse range of AI architectures, including GPUs, NPUs, and custom accelerators, to support training and inference applications across data centers and edge environments. End users such as cloud providers, telecom operators, automotive companies, and digital platform providers integrate these chips into their infrastructure to enable AI-driven services and applications. Additionally, increasing collaboration between industry stakeholders, supported by government initiatives and investments in semiconductor innovation, is strengthening domestic capabilities.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
South Korea AI Chip Market, by Compute
By compute, the GPU segment dominated the South Korea AI chip market in 2024, driven by strong demand for AI training and high-performance computing workloads. GPUs are widely used across hyperscale data centers and enterprise AI applications, particularly for generative AI and deep learning. Increasing reliance on advanced AI infrastructure is further strengthening GPU dominance in the market.
South Korea AI Chip Market, by Memory
By memory, the HBM segment is expected to grow at a high rate in the South Korea AI chip market, supported by strong domestic production capabilities. HBM is critical for enabling high-bandwidth and low-latency performance required for AI accelerators and advanced GPUs. The rising complexity of AI workloads is accelerating the adoption of HBM across data center and high-performance computing environments.
South Korea AI Chip Market, by Network
By network, NICs and network adapters are expected to dominate the South Korea AI chip market in 2025, driven by increasing demand for high-speed connectivity and efficient data transfer. These components are essential for supporting large-scale AI workloads across data centers and cloud infrastructure. The expansion of distributed computing and AI clusters is further fueling demand for advanced networking solutions.
South Korea AI Chip Market, by Function
By function, the inference segment is projected to grow at a high rate in the South Korea AI chip market, driven by increasing deployment of AI applications across edge devices and enterprise systems. Inference workloads require real-time processing and energy-efficient compute, making them critical for scalable AI adoption. The growing use of AI in robotics, smart devices, and industrial automation is accelerating this growth.
South Korea AI Chip Market, by Technology
By technology, machine learning dominated the South Korea AI chip market in 2024, driven by its widespread adoption across industries for automation and predictive analytics. Machine learning forms the core of many AI applications, including recommendation systems, computer vision, and natural language processing. Continuous advancements in algorithms and computing infrastructure are further supporting its dominance.
South Korea AI Chip Market, by End User
By end user, the data center segment is expected to grow at a high rate in the South Korea AI chip market, driven by increasing investments in hyperscale infrastructure and cloud services. Data centers serve as the primary hubs for AI training, inference, and large-scale data processing. The rising demand for cloud-based AI services and high-performance computing is accelerating the expansion of this segment.
SOUTH KOREA AI CHIP MARKET: COMPANY EVALUATION MATRIX
In the South Korea AI chip market matrix, Samsung is positioned as a Star, supported by its strong market presence, leadership in memory technologies, and expanding AI chip capabilities. Rebellions is categorized as an Emerging Leader, driven by its growing portfolio of AI accelerators and increasing adoption in data center and enterprise applications. Other players are distributed across Pervasive Players and Participants segments, reflecting varying levels of product footprint, innovation capabilities, and market penetration within the evolving South Korea AI chip ecosystem.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- Samsung Electronics Co., Ltd. (South Korea)
- SK HYNIX INC. (South Korea)
- Intel Corporation (US)
- NVIDIA Corporation (US)
- Qualcomm Technologies, Inc. (US)
- Advanced Micro Devices, Inc. (US)
- Google (US)
- Amazon Web Services, Inc. (US)
- Microsoft (US)
- Rebellions Inc. (South Korea)
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2024 (Value) | USD 2.49 Billion |
| Market Forecast in 2030 (Value) | USD 14.68 Billion |
| Growth Rate | CAGR of 19.4% from 2025-2032 |
| Years Considered | 2021-2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Units Considered | Value (USD Million/Billion), Volume (Thousand Units) |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
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WHAT IS IN IT FOR YOU: SOUTH KOREA AI CHIP MARKET REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Hyperscale Cloud Provider | Assessment of AI chip deployment across data centers for training and inference workloads in South Korea | Benchmarking of GPUs, NPUs, and HBM integration aligned with local data center requirements |
| Telecom Operator/5G Provider | End-to-end feasibility of AI chips for network optimization, edge AI, and 5G infrastructure in South Korea | Integration assessment with telecom networks, edge computing platforms, and AI-driven analytics systems |
| Manufacturing/Smart Factory Enterprise | AI chip roadmap for smart manufacturing, robotics, and industrial automation across production facilities | Integration with MES, IoT platforms, and AI-based predictive maintenance systems |
| Automotive OEM/Mobility Provider | Use-case mapping for AI chips in autonomous driving, ADAS, and in-vehicle AI systems in South Korea | Evaluation of AI chip performance, safety compliance, and real-time processing requirements |
| Consumer Electronics Company | Assessment of AI chip adoption in smartphones, smart devices, and edge AI applications | Benchmarking of NPUs for on-device AI, power efficiency, and performance optimization |
RECENT DEVELOPMENTS
- April 2026 : FuriosaAI unveiled its second-generation Renegade (RNGD) AI accelerator chip (mass production started in January 2026 using a 5nm process) targeting high-volume inference workloads. The company also announced plans for RNGD+ variants with HBM3e memory, aiming to deliver superior power efficiency and cost-effectiveness compared to traditional GPUs for data center and enterprise AI applications.
- March 2026 : Rebellions Inc. secured a USD 400 million pre-IPO funding round (at a USD 2.34 billion valuation) led by Mirae Asset Financial Group and the Korea National Growth Fund, with strategic participation from Samsung Electronics, SK hynix, and Arm. The investment supports mass production of its NPU chips and the simultaneous launch of RebelRack and RebelPOD — new enterprise-grade AI inference infrastructure products powered by the Rebel100 chip.
- January 2026 : SK HYNIX INC. announced a USD 12.9 billion investment to construct a new advanced AI chip packaging facility in Cheongju, South Korea. The plant will significantly expand high-bandwidth memory (HBM) and 2.5D/3D advanced packaging capacity specifically for AI data center applications, with construction starting in April 2026.
- October 2025 : Samsung Electronics Co., Ltd. and SK HYNIX INC. signed comprehensive strategic partnerships with OpenAI as part of the Stargate AI infrastructure initiative. The collaborations focus on supplying advanced high-bandwidth memory (HBM) and DRAM chips, joint development of AI data centers in South Korea, and scaling production to support next-generation AI models globally.
Table of Contents
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Methodology
The research process for this study included systematic gathering, recording, and analysis of data about customers and companies operating in the South Korea AI Chip Market. This process involved the extensive use of secondary sources, directories, and databases (Factiva and OneSource) to identify and collect valuable information for the comprehensive, technical, market-oriented, and commercial study of the South Korea AI Chip Market. In-depth interviews were conducted with primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information and assess growth prospects. Key players in the South Korea AI Chip Market were identified through secondary research, and their market rankings were determined through primary and secondary research. This research included studying annual reports of top players and interviewing key industry experts such as CEOs, directors, and marketing executives.
Secondary Research
Various secondary sources have been referred to in the secondary research process for identifying and collecting information pertinent to this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles by recognized authors; directories; and databases. Secondary research has been mainly carried out to obtain key information about the supply chain of the edge AI hardware industry, the value chain of the market, the total pool of the key players, market classification, and segmentation according to the industry trends to the bottom-most level, geographic markets, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various sources from the supply and demand sides have been interviewed to obtain qualitative and quantitative information for this report. Primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and key executives from major companies and organizations operating in the South Korea AI Chip Market. After going through the entire market engineering (which includes calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research has been conducted to gather information and verify and validate the obtained critical numbers. Primary research has been conducted to identify segmentation types, industry trends, key players, competitive landscape, and key market dynamics such as drivers, restraints, opportunities, and challenges, along with the key strategies adopted by players operating in the market.
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Market Size Estimation
In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to estimate and forecast the size of the market and its segments and subsegments listed in the report. Extensive qualitative and quantitative analyses have been carried out on the complete market engineering process to list the key information/insights about the South Korea AI Chip Market.
The key players in the market have been identified through secondary research, and their rankings in the respective regions have been 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 have been determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated and enhanced with detailed inputs and analysis from MarketsandMarkets and presented in this report.
Data Triangulation
After arriving at the overall market size from the above estimation process, the total market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments, 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
Artificial intelligence (AI) technology is now implemented in smartphones, automobiles, drones, and robots. Edge AI is the combination of edge computing and artificial intelligence. Edge AI is the implementation of AI applications in devices throughout the physical world. In this technique, the computation of AI is done near the user at the edge of the network, close to where the data is located, rather than centrally in a cloud computing facility or private data centers. Edge AI offers a way to process data faster than cloud processing. The release of low-power and high-computing processors has led to integrating AI algorithms into devices. Developing dedicated AI processors for edge devices has resulted in AI inference performed on devices rather than the cloud platform.
Key Stakeholders
- Semiconductor companies
- Technology providers
- Universities and research organizations
- System integrators
- AI solution providers
- AI platform providers
- AI system providers
- Investors and venture capitalists
- Manufacturers and people implementing AI technology
- Government agencies
- IoT providers
- Consulting firms
Report Objectives
- To define, describe, and forecast the South Korea AI Chip Market, in terms of volume, by processor, power consumption, device, function, vertical, and region
- To describe and forecast the market, in terms of value, by region—North America, Europe, Asia Pacific, and RoW (South America, Africa, and the Middle East)
- To define, describe, and forecast the global South Korea AI Chip Market, in terms of value
- To provide detailed information regarding factors (drivers, restraints, opportunities, and challenges) influencing market growth
- To provide a detailed overview of the process flow of the South Korea AI Chip Market
- To analyze supply chain, market/ecosystem map, trend/disruptions impacting customer business, technology analysis, Porter's five force analysis, trade analysis, case study analysis, patent analysis, key conferences & events, and regulations related to the South Korea AI Chip Market
- To analyze opportunities for stakeholders in the South Korea AI Chip Market by identifying the high-growth segments
- To strategically analyze micro markets concerning individual growth trends, prospects, and contributions to the overall market
- To strategically profile the key players and comprehensively analyze their market shares and core competencies, along with detailing the competitive leadership and analyzing growth strategies, such as product launches and developments, expansions, acquisitions, and partnerships of leading players
- Analyzing opportunities in the market for stakeholders and providing a competitive landscape for the market.
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