Analytical Report of Business Analytics BPO Services in Korea from (2023 to 2033)

The adoption of business analytics BPO services in Korea is likely to exhibit a CAGR of 11.7% through 2033. Business analytics BPO service in Korea is expected to reach a US$ 250.2 million valuation in 2023. Business analytics adoption has been on the rise in various industries, which is contributing to the global BPO business analytics industry's growth.

A growing number of small and medium-sized enterprises are making use of business analytics, coupled with the increasing number of businesses starting up. The availability of reliable, scalable, and agile cloud-based BPO services has also contributed to the growth of the industry. By 2033, implementing business analytics BPO services in Korea is likely secure US$ 745.0 million.

Key Highlights to Understand Emerging and Fast-growing Opportunities

  • Data analytics is becoming increasingly important to decision-makers across various industries.
  • A shift from traditional BPO services to advanced analytics is increasingly creating revenues in the ecosystem.
  • The geographic reach of BPO providers is expanding. With this expansion, the company aims to serve clients from various regions and provide cost-effective services.
  • Data security and regulatory compliance are crucial as the importance of data in decision-making increases.
  • A growing number of BPO providers are offering customized analytics solutions tailored to specific industries. By addressing the unique needs of their clients, they are able to meet their objectives.
Attributes Details
Industry Size of Korea in 2023 US$ 250.2 million
Expected Industry Size of Korea by 2033 US$ 745.0 million
Forecasted CAGR between 2023 to 2033 11.7%

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Key Trends Influencing Demand for Business Analytics BPO Services in Korea

  • The growing number of service-based industries has led to an increase in business analytics BPO services.
  • As Korea's demand for business analytics BPO services increases, analytics services tailored to particular industries, such as finance, healthcare, and e-commerce, are becoming more common.
  • Implementation of advanced technologies and the use of the Internet of Things are increasing the demand for business analytics BPO services.
  • Social media data analysis can reveal valuable insights into consumers' sentiments, brand perceptions, and emerging preferences.
  • Identifying cost-saving initiatives through financial data analysis, evaluating investments, and complying with regulations can significantly increase demand.

City-wise Insights

Cloud Technology and Innovations to Boost Business Analytics BPO Services in South Gyeongsang

Businesses in South Gyeongsang can benefit from BPO providers' expertise in analyzing datasets to discover trends and patterns. As a result, businesses can make better decisions based on data and optimize their processes. To make informed marketing and product development decisions, BPO companies study consumer behavior, industry trends, and competitors.

A significant increase in demand is attributed to the adoption of advanced technologies and cloud-based solutions. BPO providers to optimize supply chain operations can analyze data from inventory, logistics, and suppliers. In addition to BPO services providing businesses with data insights, these tools and solutions are often integrated with business intelligence tools and solutions.

Technology Innovation and Digitization to Increase the Need for Business Analytics BPO Services in North Jeolla

With peripheral services like business analytics outsourced, North Jeolla is going to focus on its core competencies, such as economic development, infrastructure, and public services. A growing number of organizations are recognizing the importance of leveraging data for innovation, growth, and competitive advantages, creating a growing demand for business analytics BPO services. Demand is likely to grow in emerging economies as digitalization and analytics adoption increase.

Rising Industrialization in South Jeolla to Boost Business Analytics BPO Services Growth

The demand for business analytics BPO services in South Jeolla has grown significantly over the past few years. As industrialization accelerates and the number of start-ups investing in business analytics solutions increases, this industry is expected to outpace growth in other geographical areas within the BPO business analytics industry.

Sudip Saha
Sudip Saha

Principal Consultant

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Category-wise insights

Manufacturing Industries Remains a Prominent Business Analytics BPO Services Type

Manufacturing industries can benefit from this type of business analytics BPO, which helps them gain insights, streamline business processes, and make informed decisions based on data. With a 24.3% revenue share, manufacturing is likely to dominate the business analytics BPO services industry in Korea in 2023.

Business analytics service providers can offer insights and information tailored to manufacturing challenges and requirements. Business analytics BPO services can benefit manufacturing companies by leveraging global resources and expertise. This allows their operations to expand internationally, giving them access to global talent, affordable solutions, and cost-efficient resources.

Korea Business Analytics BPO Services Based on Industry Type Manufacturing
Industry Share in 2023 24.3%

Large Enterprises Industries to Fuel Korea Business Analytics BPO Services

Data is becoming increasingly important in helping large enterprises make informed business decisions. Business analytics BPO services contribute to actionable insights based on data gathering, analysis, and interpretation. In 2023, large enterprises are expected to have an industry share of 53.6%.

The sheer amount of data generated and collected by businesses from various sources can make data management and analysis challenging. Complex data analytics can be handled by business process outsourcing companies with specialized expertise and technology.

Analyzing business data can be outsourced at a cost-effective rate. The development and maintenance of an analytics team and infrastructure in-house can be avoided by large enterprises. Enterprises can rely on experts to analyze and generate insights from their data by outsourcing analytics.

Korea Business Analytics BPO Services Based on Enterprise Size Large Enterprise
Industry Share in 2023 53.6%

Competitive Landscape

With their expertise, resources, and commitment to sustainability, companies providing business analytics BPO services support expansion. Players in the industry strive to gain the leading industry share by leveraging cutting-edge technology.

In addition to collaborating with influential social media users, suppliers of Business Analytics BPO Services maintain long-term relationships with them to capitalize on future business opportunities. Many large companies engage in mergers & acquisitions as a means of expanding their geographical reach and boosting revenue.

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Korea business analytics BPO service industry key players include

  • Samsung SDS
  • LG CNS
  • KT Corp
  • NICE Information Service
  • SK C&C (SK Holdings C&C)
  • IBM Korea
  • NTT Data Korea
  • Hanwha Systems
  • Daou Tech Inc
  • CJ OliveNetworks

Recent Developments Observed in the Korea Business Analytics BPO Service Industry

  • Samsung SDS provides IT and business process outsourcing services in South Korea and around the world.
  • LG CNS, a key player in Korea’s BPO and IT services sector, offers a range of services including business analytics.
  • KT Corp, formerly known as Korea Telecom, provides data analytics and business intelligence services to businesses in South Korea.

Scope of the Report

Attributes Details
Estimated Industry Size in 2023 US$ 250.2 million
Projected Industry Valuation by 2033 US$ 745.0 million
Value-based CAGR 2023 to 2033 11.7%
Historical Analysis of the Business Analytics BPO Service in Korea 2018 to 2022
Demand Forecast for Business Analytics BPO Service in Korea 2023 to 2033
Report Coverage Industry Size, Industry Trends, Analysis of key Factors Influencing Business Analytics BPO Service in Korea Insights on Global Players and their Industry Strategy in Korea, Ecosystem Analysis of Local and Regional Korea Providers
Key Cities Analyzed While Studying Opportunities in Business Analytics BPO Service in Korea South Gyeongsang, North Jeolla, South Jeolla, Jeju
Key Companies Profiled Samsung SDS; LG CNS; KT Corp; NICE Information Service; SK C&C (SK Holdings C&C); IBM Korea; NTT Data Korea; Hanwha Systems; Daou Tech Inc.; CJ OliveNetworks

 Key Segments

By Services:

  • Data Analytics & Visualization Services
  • Risk Analytics Services
  • Marketing & Sales Analytics Services
  • Supply Chain Analytics Services
  • Financial Analytics Services
  • Others

By Enterprise Size:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

By Industry:

  • BFSI
  • Manufacturing
  • Retail
  • IT & Telecom
  • Government
  • Healthcare
  • Travel & Hospitality
  • Others

By Region/City:

  • South Gyeongsang
  • North Jeolla
  • South Jeolla
  • Jeju

Frequently Asked Questions

What is the Current Size of the Business Analytics BPO Services in Korea?

The business analytics BPO services in Korea is valued at US$ 250.2 million in 2023.

By 2033, what will be the Overall Value of Business Analytics BPO Services in Korea?

By 2033, Korea’s business analytics BPO services revenue is estimated to reach a value of US$ 745.0 million.

What is the Anticipated Growth rate of Business Analytics BPO Services in Korea?

Between 2023 and 2033, business analytics BPO services is expected to develop at an 11.7% CAGR in Korea.

Which Enterprise Type of Business Analytics BPO Services in Korea is likely to Dominate?

Based on enterprise type, large enterprises are expected to dominate the industry.

Table of Content

1. Executive Summary

    1.1. Korea Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

    3.7. Regional Parent Market Outlook

4. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Services

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Services, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Services, 2023 to 2033

        5.3.1. Data Analytics & Visualization Services

        5.3.2. Risk Analytics Services

        5.3.3. Marketing & Sales Analytics Services

        5.3.4. Supply Chain Analytics Services

        5.3.5. Financial Analytics Services

        5.3.6. Others

    5.4. Y-o-Y Growth Trend Analysis By Services, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Services, 2023 to 2033

6. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033

        6.3.1. SMEs

        6.3.2. Large Enterprises

    6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033

7. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Industry

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022

    7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033

        7.3.1. BFSI

        7.3.2. Manufacturing

        7.3.3. Retail

        7.3.4. IT & Telecom

        7.3.5. Government

        7.3.6. Healthcare

        7.3.7. Travel & Hospilatility

        7.3.8. Others

    7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022

    7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033

8. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region

    8.1. Introduction

    8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        8.3.1. South Gyeongsang

        8.3.2. North Jeolla

        8.3.3. South Jeolla

        8.3.4. Jeju

        8.3.5. Rest of Korea

    8.4. Market Attractiveness Analysis By Region

9. South Gyeongsang Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033

    9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        9.2.1. By Services

        9.2.2. By Enterprise Size

        9.2.3. By Industry

    9.3. Market Attractiveness Analysis

        9.3.1. By Services

        9.3.2. By Enterprise Size

        9.3.3. By Industry

    9.4. Key Takeaways

10. North Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Services

        10.2.2. By Enterprise Size

        10.2.3. By Industry

    10.3. Market Attractiveness Analysis

        10.3.1. By Services

        10.3.2. By Enterprise Size

        10.3.3. By Industry

    10.4. Key Takeaways

11. South Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Services

        11.2.2. By Enterprise Size

        11.2.3. By Industry

    11.3. Market Attractiveness Analysis

        11.3.1. By Services

        11.3.2. By Enterprise Size

        11.3.3. By Industry

    11.4. Key Takeaways

12. Jeju Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Services

        12.2.2. By Enterprise Size

        12.2.3. By Industry

    12.3. Market Attractiveness Analysis

        12.3.1. By Services

        12.3.2. By Enterprise Size

        12.3.3. By Industry

    12.4. Key Takeaways

13. Rest of Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Services

        13.2.2. By Enterprise Size

        13.2.3. By Industry

    13.3. Market Attractiveness Analysis

        13.3.1. By Services

        13.3.2. By Enterprise Size

        13.3.3. By Industry

    13.4. Key Takeaways

14. Market Structure Analysis

    14.1. Competition Dashboard

    14.2. Competition Benchmarking

    14.3. Market Share Analysis of Top Players

        14.3.1. By Regional

        14.3.2. By Services

        14.3.3. By Enterprise Size

        14.3.4. By Industry

15. Competition Analysis

    15.1. Competition Deep Dive

        15.1.1. IBM Corporation

            15.1.1.1. Overview

            15.1.1.2. Product Portfolio

            15.1.1.3. Profitability by Market Segments

            15.1.1.4. Sales Footprint

            15.1.1.5. Strategy Overview

                15.1.1.5.1. Marketing Strategy

        15.1.2. Accenture

            15.1.2.1. Overview

            15.1.2.2. Product Portfolio

            15.1.2.3. Profitability by Market Segments

            15.1.2.4. Sales Footprint

            15.1.2.5. Strategy Overview

                15.1.2.5.1. Marketing Strategy

        15.1.3. Wipro Limited

            15.1.3.1. Overview

            15.1.3.2. Product Portfolio

            15.1.3.3. Profitability by Market Segments

            15.1.3.4. Sales Footprint

            15.1.3.5. Strategy Overview

                15.1.3.5.1. Marketing Strategy

        15.1.4. Capgemini

            15.1.4.1. Overview

            15.1.4.2. Product Portfolio

            15.1.4.3. Profitability by Market Segments

            15.1.4.4. Sales Footprint

            15.1.4.5. Strategy Overview

                15.1.4.5.1. Marketing Strategy

        15.1.5. Infosys Limited

            15.1.5.1. Overview

            15.1.5.2. Product Portfolio

            15.1.5.3. Profitability by Market Segments

            15.1.5.4. Sales Footprint

            15.1.5.5. Strategy Overview

                15.1.5.5.1. Marketing Strategy

        15.1.6. Tata Consultancy Services (TCS)

            15.1.6.1. Overview

            15.1.6.2. Product Portfolio

            15.1.6.3. Profitability by Market Segments

            15.1.6.4. Sales Footprint

            15.1.6.5. Strategy Overview

                15.1.6.5.1. Marketing Strategy

        15.1.7. HCL Technologies

            15.1.7.1. Overview

            15.1.7.2. Product Portfolio

            15.1.7.3. Profitability by Market Segments

            15.1.7.4. Sales Footprint

            15.1.7.5. Strategy Overview

                15.1.7.5.1. Marketing Strategy

        15.1.8. Cognizant

            15.1.8.1. Overview

            15.1.8.2. Product Portfolio

            15.1.8.3. Profitability by Market Segments

            15.1.8.4. Sales Footprint

            15.1.8.5. Strategy Overview

                15.1.8.5.1. Marketing Strategy

        15.1.9. Tech Mahindra Limited

            15.1.9.1. Overview

            15.1.9.2. Product Portfolio

            15.1.9.3. Profitability by Market Segments

            15.1.9.4. Sales Footprint

            15.1.9.5. Strategy Overview

                15.1.9.5.1. Marketing Strategy

        15.1.10. Genpact

            15.1.10.1. Overview

            15.1.10.2. Product Portfolio

            15.1.10.3. Profitability by Market Segments

            15.1.10.4. Sales Footprint

            15.1.10.5. Strategy Overview

                15.1.10.5.1. Marketing Strategy

        15.1.11. WNS Global Services

            15.1.11.1. Overview

            15.1.11.2. Product Portfolio

            15.1.11.3. Profitability by Market Segments

            15.1.11.4. Sales Footprint

            15.1.11.5. Strategy Overview

                15.1.11.5.1. Marketing Strategy

        15.1.12. EXL Service

            15.1.12.1. Overview

            15.1.12.2. Product Portfolio

            15.1.12.3. Profitability by Market Segments

            15.1.12.4. Sales Footprint

            15.1.12.5. Strategy Overview

                15.1.12.5.1. Marketing Strategy

        15.1.13. Firstsource Solutions Limited

            15.1.13.1. Overview

            15.1.13.2. Product Portfolio

            15.1.13.3. Profitability by Market Segments

            15.1.13.4. Sales Footprint

            15.1.13.5. Strategy Overview

                15.1.13.5.1. Marketing Strategy

        15.1.14. Concentrix

            15.1.14.1. Overview

            15.1.14.2. Product Portfolio

            15.1.14.3. Profitability by Market Segments

            15.1.14.4. Sales Footprint

            15.1.14.5. Strategy Overview

                15.1.14.5.1. Marketing Strategy

        15.1.15. ScienceSoft

            15.1.15.1. Overview

            15.1.15.2. Product Portfolio

            15.1.15.3. Profitability by Market Segments

            15.1.15.4. Sales Footprint

            15.1.15.5. Strategy Overview

                15.1.15.5.1. Marketing Strategy

16. Assumptions & Acronyms Used

17. Research Methodology

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