What is the projected market valuation for the South Korea generative ai-in-data-analytics market by 2035?

The projected market valuation for the South Korea generative ai-in-data-analytics market is expected to reach $30.0 Million by 2035. Read More

What was the market valuation in 2024 for the South Korea generative ai-in-data-analytics market?

The overall market valuation was $0.18 Million in 2024. Read More

Which companies are considered key players in the South Korea generative ai-in-data-analytics market?

Key players in the market include OpenAI, Google, IBM, Microsoft, Salesforce, SAP, NVIDIA, and Palantir Technologies. Read More

What are the main deployment segments in the South Korea generative ai-in-data-analytics market?

The main deployment segments are Cloud-Based and On-premise, each valued at $15.0 Million. Read More

What technologies are driving the South Korea generative ai-in-data-analytics market?

Technologies driving the market include Natural Language Processing, Machine Learning, Computer Vision, Deep Learning, and Robotic Process Automation. Read More

What is the valuation of the Machine Learning segment in the South Korea generative ai-in-data-analytics market?

The valuation of the Machine Learning segment is $10.0 Million. Read More

What applications are being utilized in the South Korea generative ai-in-data-analytics market?

Applications include Data Augmentation, Text Generation, Anomaly Detection, and Simulation and Forecasting. Read More

What is the projected valuation for the Text Generation application by 2035?

The projected valuation for the Text Generation application is expected to reach $10.0 Million by 2035. Read More

How does the valuation of the Anomaly Detection application compare to other applications in the market?

The valuation of the Anomaly Detection application is $8.0 Million, indicating a strong position among other applications. Read More

South Korea Generative Ai In Data Analytics Market

Q: What is the expected CAGR for the South Korea generative ai-in-data-analytics market during the forecast period 2025 - 2035?

The expected CAGR for the South Korea generative ai-in-data-analytics market during the forecast period 2025 - 2035 is 59.22%. Read More

ID: MRFR/ICT/58538-HCR

200 Pages

Nirmit Biswas

Last Updated: April 06, 2026

South Korea Generative AI in Data Analytics Market Research Report By Deployment (Cloud-Based, On-premise), By Technology (Machine learning, Natural Language Processing, Deep learning, Computer vision, Robotic Process Automation) and By Application (Data Augmentation, Anomaly Detection, Text Generation, Simulation and Forecasting)-Forecast to 2035

South Korea Generative Ai In Data Analytics Market Infographic

Summary Table of Contents Segmentation Download PDF

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 Deployment (USD Million) | |
  1. 4.1.1 Cloud-Based | |
  2. 4.1.2 On-premise |
2. 4.2 Information and Communications Technology, BY Technology (USD Million) | |
  1. 4.2.1 Natural Language Processing | |
  2. 4.2.2 Machine learning | |
  3. 4.2.3 Computer vision | |
  4. 4.2.4 Deep learning | |
  5. 4.2.5 Robotic Process Automation |
3. 4.3 Information and Communications Technology, BY Application (USD Million) | |
  1. 4.3.1 Data Augmentation | |
  2. 4.3.2 Text Generation | |
  3. 4.3.3 Anomaly Detection | |
  4. 4.3.4 Simulation and Forecasting 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 IBM (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 Microsoft (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 Salesforce (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 SAP (DE) | | |
    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 NVIDIA (US) | | |
    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 Palantir Technologies (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 |
3. 5.3 Appendix | |
  1. 5.3.1 References | |
  2. 5.3.2 Related Reports 6 LIST OF FIGURES |
4. 6.1 MARKET SYNOPSIS |
5. 6.2 SOUTH KOREA MARKET ANALYSIS BY DEPLOYMENT |
6. 6.3 SOUTH KOREA MARKET ANALYSIS BY TECHNOLOGY |
7. 6.4 SOUTH KOREA MARKET ANALYSIS BY APPLICATION |
8. 6.5 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
9. 6.6 RESEARCH PROCESS OF MRFR |
10. 6.7 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
11. 6.8 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY |
12. 6.9 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY |
13. 6.10 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY |
14. 6.11 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT, 2024 (% SHARE) |
15. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT, 2024 TO 2035 (USD Million) |
16. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE) |
17. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Million) |
18. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 (% SHARE) |
19. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 TO 2035 (USD Million) |
20. 6.17 BENCHMARKING OF MAJOR COMPETITORS 7 LIST OF TABLES |
21. 7.1 LIST OF ASSUMPTIONS | |
  1. 7.1.1 |
22. 7.2 South Korea MARKET SIZE ESTIMATES; FORECAST | |
  1. 7.2.1 BY DEPLOYMENT, 2025-2035 (USD Million) | |
  2. 7.2.2 BY TECHNOLOGY, 2025-2035 (USD Million) | |
  3. 7.2.3 BY APPLICATION, 2025-2035 (USD Million) |
23. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL | |
  1. 7.3.1 |
24. 7.4 ACQUISITION/PARTNERSHIP | |

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South Korea Information and Communications Technology Market Segmentation

Information and Communications Technology By Deployment (USD Million, 2025-2035)

Cloud-Based
On-premise

Information and Communications Technology By Technology (USD Million, 2025-2035)

Natural Language Processing
Machine learning
Computer vision
Deep learning
Robotic Process Automation

Information and Communications Technology By Application (USD Million, 2025-2035)

Data Augmentation
Text Generation
Anomaly Detection
Simulation and Forecasting

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