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
| 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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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.
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.
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.
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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% |
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% |
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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Recent Developments Observed in the Korea Business Analytics BPO Service Industry
| 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 |
The business analytics BPO services in Korea is valued at US$ 250.2 million in 2023.
By 2033, Korea’s business analytics BPO services revenue is estimated to reach a value of US$ 745.0 million.
Between 2023 and 2033, business analytics BPO services is expected to develop at an 11.7% CAGR in Korea.
Based on enterprise type, large enterprises are expected to dominate the industry.
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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Business Analytics BPO Services Industry Analysis in Korea
