What is the current valuation of the large language-model market in South Korea?

The market valuation was $183.0 Million in 2024. Read More

What is the projected market size for the large language-model market in South Korea by 2035?

The projected valuation for 2035 is $4653.6 Million. Read More

What is the expected CAGR for the South Korea large language-model market during the forecast period 2025 - 2035?

The expected CAGR is 34.2%. Read More

Which application segment is expected to have the highest valuation in the South Korea large language-model market?

Text Summarization is projected to reach $1753.6 Million. Read More

What are the key deployment models in the South Korea large language-model market?

The key deployment models include Cloud-Based, projected at $3350.0 Million, and On-Premises, at $1303.6 Million. Read More

Which end-user segment is anticipated to dominate the South Korea large language-model market?

The Education sector is expected to lead with a valuation of $2253.6 Million. Read More

What technologies are driving the South Korea large language-model market?

Transformers technology is projected to reach $1865.0 Million, indicating strong growth. Read More

Who are the leading players in the South Korea large language-model market?

Key players include OpenAI, Google, Microsoft, Meta, IBM, NVIDIA, Cohere, Anthropic, and Hugging Face. Read More

What is the valuation of the Conversational Agents segment in the South Korea large language-model market?

The Conversational Agents segment was valued at $1200.0 Million. Read More

How does the South Korea large language-model market compare to other regions?

While specific regional comparisons are not provided, the rapid growth suggests a competitive landscape. Read More

South Korea Large Language Model Market

ID: MRFR/ICT/59061-HCR

200 Pages

Kiran Jinkalwad

Last Updated: February 06, 2026

South Korea Large Language Model Market Size, Share and Trends Analysis Report By Application (Text Generation, Conversational Agents, Sentiment Analysis, Text Summarization), By Deployment Model (Cloud-Based, On-Premises), By End User (BFSI, Healthcare, Retail, Education) and by Technology (Transformers, RNN, CNN)- Forecast to 2035

Summary Table of Contents Segmentation Download PDF

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1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
1. 1.1 EXECUTIVE SUMMARY
  1. 1.1.1 Market Overview
  2. 1.1.2 Key Findings
  3. 1.1.3 Market Segmentation
  4. 1.1.4 Competitive Landscape
  5. 1.1.5 Challenges and Opportunities
  6. 1.1.6 Future Outlook
2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
1. 2.1 MARKET INTRODUCTION
  1. 2.1.1 Definition
  2. 2.1.2 Scope of the study
    1. 2.1.2.1 Research Objective
    2. 2.1.2.2 Assumption
    3. 2.1.2.3 Limitations
2. 2.2 RESEARCH METHODOLOGY
  1. 2.2.1 Overview
  2. 2.2.2 Data Mining
  3. 2.2.3 Secondary Research
  4. 2.2.4 Primary Research
    1. 2.2.4.1 Primary Interviews and Information Gathering Process
    2. 2.2.4.2 Breakdown of Primary Respondents
  5. 2.2.5 Forecasting Model
  6. 2.2.6 Market Size Estimation
    1. 2.2.6.1 Bottom-Up Approach
    2. 2.2.6.2 Top-Down Approach
  7. 2.2.7 Data Triangulation
  8. 2.2.8 Validation
3 SECTION III: QUALITATIVE ANALYSIS
1. 3.1 MARKET DYNAMICS
  1. 3.1.1 Overview
  2. 3.1.2 Drivers
  3. 3.1.3 Restraints
  4. 3.1.4 Opportunities
2. 3.2 MARKET FACTOR ANALYSIS
  1. 3.2.1 Value chain Analysis
  2. 3.2.2 Porter's Five Forces Analysis
    1. 3.2.2.1 Bargaining Power of Suppliers
    2. 3.2.2.2 Bargaining Power of Buyers
    3. 3.2.2.3 Threat of New Entrants
    4. 3.2.2.4 Threat of Substitutes
    5. 3.2.2.5 Intensity of Rivalry
  3. 3.2.3 COVID-19 Impact Analysis
    1. 3.2.3.1 Market Impact Analysis
    2. 3.2.3.2 Regional Impact
    3. 3.2.3.3 Opportunity and Threat Analysis
4 SECTION IV: QUANTITATIVE ANALYSIS
1. 4.1 Information and Communications Technology, BY Application (USD Million)
  1. 4.1.1 Text Generation
  2. 4.1.2 Conversational Agents
  3. 4.1.3 Sentiment Analysis
  4. 4.1.4 Text Summarization
2. 4.2 Information and Communications Technology, BY Deployment Model (USD Million)
  1. 4.2.1 Cloud-Based
  2. 4.2.2 On-Premises
3. 4.3 Information and Communications Technology, BY End User (USD Million)
  1. 4.3.1 BFSI
  2. 4.3.2 Healthcare
  3. 4.3.3 Retail
  4. 4.3.4 Education
4. 4.4 Information and Communications Technology, BY Technology (USD Million)
  1. 4.4.1 Transformers
  2. 4.4.2 RNN
  3. 4.4.3 CNN
5 SECTION V: COMPETITIVE ANALYSIS
1. 5.1 Competitive Landscape
  1. 5.1.1 Overview
  2. 5.1.2 Competitive Analysis
  3. 5.1.3 Market share Analysis
  4. 5.1.4 Major Growth Strategy in the Information and Communications Technology
  5. 5.1.5 Competitive Benchmarking
  6. 5.1.6 Leading Players in Terms of Number of Developments in the Information and Communications Technology
  7. 5.1.7 Key developments and growth strategies
    1. 5.1.7.1 New Product Launch/Service Deployment
    2. 5.1.7.2 Merger & Acquisitions
    3. 5.1.7.3 Joint Ventures
  8. 5.1.8 Major Players Financial Matrix
    1. 5.1.8.1 Sales and Operating Income
    2. 5.1.8.2 Major Players R&D Expenditure. 2023
2. 5.2 Company Profiles
  1. 5.2.1 OpenAI (US)
    1. 5.2.1.1 Financial Overview
    2. 5.2.1.2 Products Offered
    3. 5.2.1.3 Key Developments
    4. 5.2.1.4 SWOT Analysis
    5. 5.2.1.5 Key Strategies
  2. 5.2.2 Google (US)
    1. 5.2.2.1 Financial Overview
    2. 5.2.2.2 Products Offered
    3. 5.2.2.3 Key Developments
    4. 5.2.2.4 SWOT Analysis
    5. 5.2.2.5 Key Strategies
  3. 5.2.3 Microsoft (US)
    1. 5.2.3.1 Financial Overview
    2. 5.2.3.2 Products Offered
    3. 5.2.3.3 Key Developments
    4. 5.2.3.4 SWOT Analysis
    5. 5.2.3.5 Key Strategies
  4. 5.2.4 Meta (US)
    1. 5.2.4.1 Financial Overview
    2. 5.2.4.2 Products Offered
    3. 5.2.4.3 Key Developments
    4. 5.2.4.4 SWOT Analysis
    5. 5.2.4.5 Key Strategies
  5. 5.2.5 IBM (US)
    1. 5.2.5.1 Financial Overview
    2. 5.2.5.2 Products Offered
    3. 5.2.5.3 Key Developments
    4. 5.2.5.4 SWOT Analysis
    5. 5.2.5.5 Key Strategies
  6. 5.2.6 NVIDIA (US)
    1. 5.2.6.1 Financial Overview
    2. 5.2.6.2 Products Offered
    3. 5.2.6.3 Key Developments
    4. 5.2.6.4 SWOT Analysis
    5. 5.2.6.5 Key Strategies
  7. 5.2.7 Cohere (CA)
    1. 5.2.7.1 Financial Overview
    2. 5.2.7.2 Products Offered
    3. 5.2.7.3 Key Developments
    4. 5.2.7.4 SWOT Analysis
    5. 5.2.7.5 Key Strategies
  8. 5.2.8 Anthropic (US)
    1. 5.2.8.1 Financial Overview
    2. 5.2.8.2 Products Offered
    3. 5.2.8.3 Key Developments
    4. 5.2.8.4 SWOT Analysis
    5. 5.2.8.5 Key Strategies
  9. 5.2.9 Hugging Face (FR)
    1. 5.2.9.1 Financial Overview
    2. 5.2.9.2 Products Offered
    3. 5.2.9.3 Key Developments
    4. 5.2.9.4 SWOT Analysis
    5. 5.2.9.5 Key Strategies
3. 5.3 Appendix
  1. 5.3.1 References
  2. 5.3.2 Related Reports
6 LIST OF FIGURES
1. 6.1 MARKET SYNOPSIS
2. 6.2 SOUTH KOREA MARKET ANALYSIS BY APPLICATION
3. 6.3 SOUTH KOREA MARKET ANALYSIS BY DEPLOYMENT MODEL
4. 6.4 SOUTH KOREA MARKET ANALYSIS BY END USER
5. 6.5 SOUTH KOREA MARKET ANALYSIS BY TECHNOLOGY
6. 6.6 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
7. 6.7 RESEARCH PROCESS OF MRFR
8. 6.8 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
9. 6.9 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
10. 6.10 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
11. 6.11 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY
12. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 (% SHARE)
13. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 TO 2035 (USD Million)
14. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODEL, 2024 (% SHARE)
15. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODEL, 2024 TO 2035 (USD Million)
16. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USER, 2024 (% SHARE)
17. 6.17 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USER, 2024 TO 2035 (USD Million)
18. 6.18 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE)
19. 6.19 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Million)
20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
7 LIST OF TABLES
1. 7.1 LIST OF ASSUMPTIONS
7.1.1
1. 7.2 South Korea MARKET SIZE ESTIMATES; FORECAST
  1. 7.2.1 BY APPLICATION, 2025-2035 (USD Million)
  2. 7.2.2 BY DEPLOYMENT MODEL, 2025-2035 (USD Million)
  3. 7.2.3 BY END USER, 2025-2035 (USD Million)
  4. 7.2.4 BY TECHNOLOGY, 2025-2035 (USD Million)
2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
7.3.1
1. 7.4 ACQUISITION/PARTNERSHIP
7.4.1

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South Korea South Korea Large Language Model Market Segmentation

South Korea Large Language Model Market By Application (USD Million, 2025-2035)

Text Generation
Conversational Agents
Sentiment Analysis
Text Summarization

South Korea Large Language Model Market By Deployment Model (USD Million, 2025-2035)

Cloud-Based
On-Premises

South Korea Large Language Model Market By End User (USD Million, 2025-2035)

BFSI
Healthcare
Retail
Education

South Korea Large Language Model Market By Technology (USD Million, 2025-2035)

Transformers
RNN
CNN

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