Korea Artificial Intelligence and Analytics Strategies (Korean Version)

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Meet the Experts

Photo of Deepika Giri
Deepika Giri

Associate Vice President

IDC's Korea Artificial Intelligence and Analytics Strategies (Korean Version) research analyzes the key market trends, competitive landscape, technologies, and end-user buying behavior in artificial intelligence (AI) and data analytics markets in Korea. This program offers market dynamics and vendor movements around the AI and analytics market. Also, this research provides the overall market dynamics on the generative AI, addressing the needs of generative AI technology vendors and ecosystem vendors. The service helps customers identify key areas of growth, maturity, and functional/vertical markets by combining supply and demand perspectives.

Markets and Subjects Analyzed

  • Artificial intelligence and analytics market supply and demand trends, use cases, and solutions
  • Artificial intelligence technologies and platforms
  • Generative AI market dynamics
  • Big data and analytics market developments
  • Intelligent automation
  • AI-enabled cloud software

Core Research

  • Market Analysis Perspective for Korea AI and Analytics Strategies
  • Korea Artificial Intelligence Systems Forecast
  • Korea Artificial Intelligence Software Market Analysis
  • Generative AI Market Dynamics
  • Korea Big Data and Analytics Competitive Landscape
  • Korea Big Data and Analytics Forecast
  • Korea Intelligent Automation Adoption
  • AI-enabled Cloud Software Market Trend

In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.

Key Questions Answered

  1. What are the key areas of growth by functional market for artificial intelligence and analytics?
  2. What are the market shares and competitive positioning of the leading vendors?
  3. What are IT buyers' priorities, challenges, and spending plans for artificial intelligence/analytics in Korea, and how can vendors address them?
  4. How is the artificial intelligence/data analytics competitive space evolving, and what are the key recommendations for vendors?
  5. How can end users leverage artificial intelligence/data and analytics? Which are the key buyer use cases in Korea? Which are the top solutions?
  6. How are the new delivery and consumption models like cloud (data analytics as a service, AI as a service) impacting the overall market?