South Korea Machine Learning Market Size, Share, and COVID-19 Impact Analysis, By Component (Hardware, Software, and Services), By Enterprise Size (SMEs and Large Enterprises), and South Korea Machine Learning Market Insights, Industry Trend, Forecasts to 2035

Industry: Information & Technology

RELEASE DATE Jun 2025
REPORT ID SI12964
PAGES 190
REPORT FORMAT PathSoft

  South Korea Machine Learning Market Insights Forecasts to 2035

  • The South Korea Machine Learning Market Size Was Estimated at USD 1,749.0 Million in 2024
  • The Market Size is Expected to Grow at a CAGR of around 38.03% from 2025 to 2035
  • The South Korea Machine Learning Market Size is Expected to Reach USD 60,602.9 Million by 2035

South Korea Machine Learning Market

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According to a Research Report Published by Spherical Insights & Consulting, The South Korea Machine Learning Market Size is anticipated to reach USD 60,602.9 Million by 2035, Growing at a CAGR of 38.03% from 2025 to 2035. Artificial intelligence (AI) is a rapidly developing technology that is revolutionizing how people and businesses operate. These technologies have transformed the consumer experience by creating a number of digital services and goods and optimizing the supply chain.

 

Market Overview 

The technology, platforms, and services that facilitate the creation and implementation of machine learning applications are all included in the machine learning (ML) market. The goal of this branch of artificial intelligence (AI) is to build systems that can learn from data and gradually get better at what they do. In its most basic form, it is the market for products and services that enable computers to learn from data without explicit programming. By automating repetitive jobs, streamlining operations, and optimizing procedures, machine learning algorithms can boost productivity and lower operating expenses. By analyzing data from machinery and equipment, machine learning (ML) can forecast possible problems, allowing for preventive maintenance and cutting downtime. ML is used by social media sites and streaming services to provide customized content feeds that increase user engagement.

 

Report Coverage

This research report categorizes the market for South Korea machine learning market based on various segments and regions forecasts revenue growth, and analyses trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the South Korea machine learning market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment South Korea machine learning market. 

 

South Korea Machine Learning Market Report Coverage

Report CoverageDetails
Base Year:2024
Market Size in 2024:USD 1,749.0 Million
Forecast Period:2025-2035
Forecast Period CAGR 2025-2035 :38.03%
2035 Value Projection:USD 60,602.9 Million
Historical Data for:2020-2023
No. of Pages:190
Tables, Charts & Figures:85
Segments covered:By Component, By Enterprise Size and COVID-19 Impact Analysis.
Companies covered::Lunit (medical AI Imaging), Riiid (AI tutor solutions), Rebellions (AI accelerators / Chips), DEEPX (AI Hardware Systems), Skelter Labs (machine intelligence), Deepbrain AI (conversational avatars), Moloco (ML-powered advertising), Qraft Technologies (AI investment solution), 42dot (autonomous mobility / SDVs), MakinaRocks (industial ML & MLOps), Seoul Robotics (LiDAR + 3D ML vision), Samsung SDS (Brightics AI Platform), and other key vendors.
Pitfalls & Challenges:COVID-19 Empact, Challenge, Future, Growth, & Analysis

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Driving Factors

The rapid digital transformation across industries, increasing data availability, and rising demand for automation and predictive analytics. Government initiatives promoting AI adoption and investments in smart infrastructure further fuel market growth. The strong presence of tech-savvy consumers and a robust IT ecosystem supports innovation and implementation. Additionally, advancements in cloud computing and edge devices make machine learning solutions more accessible to both large enterprises and SMEs, significantly accelerating the market’s expansion.

 

Restraining Factors

High implementation costs and a shortage of skilled professionals to develop and manage ML systems. Data privacy concerns and strict regulatory requirements can hinder data sharing and model training. Additionally, integration challenges with legacy systems and limited awareness among smaller businesses slow adoption.

 

Market Segmentation

The South Korea machine learning market share is classified into component and enterprise size.

 

  • The hardware segment held a significant share in 2024 and is expected to grow at a significant CAGR during the forecast period.

The South Korea machine learning market is segmented by component into hardware, software, and services. Among these, the hardware segment held a significant share in 2024 and is expected to grow at a substantial CAGR during the forecast period. The rising demand for advanced processors like GPUs and TPUs that support complex computations. Growth in AI applications across industries and strong domestic semiconductor manufacturing further drive hardware adoption.

 

  • The SMEs segment held a significant share in 2024 and is expected to grow at a significant CAGR during the forecast period.

The South Korea machine learning market is segmented by enterprise size into SMEs and large enterprises. Among these, the SMEs segment held a significant share in 2024 and is expected to grow at a significant CAGR during the forecast period. Increased digital transformation efforts, affordable cloud-based AI solutions, and government support for innovation. SMEs are leveraging machine learning to improve efficiency and competitiveness.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the South Korea machine learning market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborate analysis focusing on the companies current news and developments, including product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List Of Key Companies:

  • Lunit (medical AI Imaging)
  • Riiid (AI tutor solutions)
  • Rebellions (AI accelerators / Chips)
  • DEEPX (AI Hardware Systems)
  • Skelter Labs (machine intelligence)
  • Deepbrain AI (conversational avatars)
  • Moloco (ML-powered advertising)
  • Qraft Technologies (AI investment solution)
  • 42dot (autonomous mobility / SDVs)
  • MakinaRocks (industial ML & MLOps)
  • Seoul Robotics (LiDAR + 3D ML vision)
  • Samsung SDS (Brightics AI Platform)
  • Others

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting and Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Market Segment

This study forecasts revenue at South Korea, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the South Korea machine learning market based on the below-mentioned segments:

 

South Korea Machine Learning Market, By Component

  • Hardware
  • Software
  • Services

 

South Korea Machine Learning Market, By Enterprise Size

  • SMEs
  • Large Enterprises

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