Market Forecast By Component (Solutions, Services), By Deployment Mode (Cloud, On-premises), By Organization Size (Large enterprises, Small and medium-sized enterprises (SMEs)), By Vertical (BFSI, Manufacturing, Retail and eCommerce, Government and Defense, Healthcare and Life Sciences, Energy and Utilities, Telecommunications and IT, Transportation and Logistics) And Competitive Landscape
Product Code: ETC4396044 | Publication Date: Jul 2023 | Updated Date: Jan 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 26 | |
Report Name | South Korea Predictive Analytics Market |
Forecast period | 2025-2031 |
CAGR | 18% |
Growing Sector | IT & Technology |
The South Korea Predictive Analytics Market report thoroughly covers the market by component, by deployment mode, by organization size and by vertical. The market report provides an unbiased and detailed analysis of the ongoing market trends, opportunities/high growth areas, and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
The South Korea predictive analytics market has been growing at a significant rate in recent years, driven by the increasing use of data and advanced technologies in various industries. Predictive analytics is an advanced technology that involves the use of statistical algorithms and machine learning techniques to analyze data, make predictions and identify patterns.
According to 6Wresearch, the South Korea Predictive Analytics Market size is expected to grow at a significant CAGR of 18% during the forecast period 2025-2031. This growth is boosted by the increasing adoption of data-driven decision making in businesses, advancements in big data and cloud computing technologies, and rising demand for real-time insights and decision-making tools. With a highly developed and tech-savvy population, South Korea provides a fertile ground for companies to adopt predictive analytics to gain a competitive edge. The proliferation of big data and cloud computing technologies has made it easier for businesses to store, manage, and analyze large volumes of data. This has fueled the growth of predictive analytics in South Korea as organizations are looking for ways to make use of this vast amount of data to gain valuable insights.These factors will influence the South Korea Predictive Analytics Market Growth.
Despite the benefits for Predictive Analytics, there are still some challenges that may hinder the growth of the South Korea Predictive Analytics Market. These include data privacy concerns, lack of skilled professionals, and high implementation costs. As predictive analytics involves handling sensitive data, organizations need to ensure strict data privacy measures are in place to maintain customer trust and comply with regulations. Additionally, One major challenge is the lack of skilled professionals with expertise in data analytics and machine learning. This skills gap not only affects organizations' ability to implement predictive analytics solutions but also hinders the development of innovative and customized solutions. These challenges highlight the complexity and dynamic nature of the Market, necessitating proactive strategies to overcome them.
Some of the key players operating in the South Korea Predictive Analytics Market include Samsung SDS Co., Ltd., LG Electronics Inc., NCSOFT Corporation, IBM Korea, SAS Institute Inc., and SAP Korea Co., Ltd. These companies are constantly investing in research and development activities to enhance their product offerings and gain a competitive edge in the market. Currently, SAS Institute holds the largest share in the South Korea Predictive Analytics Market. However, with the growing demand for Predictive Analytics other companies have an opportunity to make significant strides and gain market share.
Government regulations play a crucial role in the South Korea Predictive Analytics Market. The Ministry of Science and ICT launched a national data strategy to encourage businesses to utilize data for innovation and increase global competitiveness. Additionally, initiatives such as the 'K-ICT Big Data Center' provide support for companies to develop advanced data analysis technologies and solutions. This has led to an increase in demand for secure and compliant solutions for handling sensitive data, further driving the growth of the predictive analytics market in South Korea.
The South Korea Predictive Analytics Market has been experiencing steady growth over the past few years. Several factors will shape the future of the market.The increasing adoption of smart technologies and the government's focus on digital transformation will drive the demand for predictive analytics solutions in various industries, including retail, healthcare, finance, and manufacturing. Moreover, with advancements in artificial intelligence (AI) and machine learning (ML), there is a significant opportunity for predictive analytics to evolve and provide more accurate insights for businesses. Additionally, with the increasing focus on digital transformation across industries, the adoption of predictive analytics is likely to become more prevalent leading to further market growth. The future of the South Korea Predictive Analytics Market seems promising since a number of factors have been supporting the market growth.
According to Dhaval, Research Manager, 6Wresearch, the solutions segment is expected to hold a dominant share in the South Korea predictive analytics market. This can be attributed to the increasing demand for advanced data analytics tools, such as predictive models and forecasting techniques, to gain valuable insights and make informed decisions.
The cloud segment is expected to hold a dominant share in the South Korea predictive analytics market. The growing popularity of cloud computing and its benefits such as scalability, cost-effectiveness, and ease of access are driving the adoption of cloud-based predictive analytics solutions in South Korea.
The large enterprises segment is expected to hold a dominant share in the South Korea predictive analytics market, owing to their higher budget and resources for implementing advanced technologies.
The BFSI (Banking, Financial Services and Insurance) segment is expected to hold a dominant share in the South Korea predictive analytics market. This can be attributed to the increasing need for risk management and fraud detection solutions in the financial sector.
The report offers a comprehensive study of the subsequent market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 South Korea Predictive Analytics Market Overview |
3.1 South Korea Country Macro Economic Indicators |
3.2 South Korea Predictive Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 South Korea Predictive Analytics Market - Industry Life Cycle |
3.4 South Korea Predictive Analytics Market - Porter's Five Forces |
3.5 South Korea Predictive Analytics Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 South Korea Predictive Analytics Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.7 South Korea Predictive Analytics Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 South Korea Predictive Analytics Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 South Korea Predictive Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 South Korea Predictive Analytics Market Trends |
6 South Korea Predictive Analytics Market, By Types |
6.1 South Korea Predictive Analytics Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 South Korea Predictive Analytics Market Revenues & Volume, By Component, 2021 - 2031F |
6.1.3 South Korea Predictive Analytics Market Revenues & Volume, By Solutions, 2021 - 2031F |
6.1.4 South Korea Predictive Analytics Market Revenues & Volume, By Services, 2021 - 2031F |
6.2 South Korea Predictive Analytics Market, By Deployment Mode |
6.2.1 Overview and Analysis |
6.2.2 South Korea Predictive Analytics Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.2.3 South Korea Predictive Analytics Market Revenues & Volume, By On-premises, 2021 - 2031F |
6.3 South Korea Predictive Analytics Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 South Korea Predictive Analytics Market Revenues & Volume, By Large enterprises, 2021 - 2031F |
6.3.3 South Korea Predictive Analytics Market Revenues & Volume, By Small and medium-sized enterprises (SMEs), 2021 - 2031F |
6.4 South Korea Predictive Analytics Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 South Korea Predictive Analytics Market Revenues & Volume, By BFSI, 2021 - 2031F |
6.4.3 South Korea Predictive Analytics Market Revenues & Volume, By Manufacturing, 2021 - 2031F |
6.4.4 South Korea Predictive Analytics Market Revenues & Volume, By Retail and eCommerce, 2021 - 2031F |
6.4.5 South Korea Predictive Analytics Market Revenues & Volume, By Government and Defense, 2021 - 2031F |
6.4.6 South Korea Predictive Analytics Market Revenues & Volume, By Healthcare and Life Sciences, 2021 - 2031F |
6.4.7 South Korea Predictive Analytics Market Revenues & Volume, By Energy and Utilities, 2021 - 2031F |
6.4.8 South Korea Predictive Analytics Market Revenues & Volume, By Transportation and Logistics, 2021 - 2031F |
6.4.9 South Korea Predictive Analytics Market Revenues & Volume, By Transportation and Logistics, 2021 - 2031F |
7 South Korea Predictive Analytics Market Import-Export Trade Statistics |
7.1 South Korea Predictive Analytics Market Export to Major Countries |
7.2 South Korea Predictive Analytics Market Imports from Major Countries |
8 South Korea Predictive Analytics Market Key Performance Indicators |
9 South Korea Predictive Analytics Market - Opportunity Assessment |
9.1 South Korea Predictive Analytics Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 South Korea Predictive Analytics Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.3 South Korea Predictive Analytics Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 South Korea Predictive Analytics Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 South Korea Predictive Analytics Market - Competitive Landscape |
10.1 South Korea Predictive Analytics Market Revenue Share, By Companies, 2024 |
10.2 South Korea Predictive Analytics Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |