An In-depth Analysis of Intelligent Enterprise Data Capture Software in Korea from (2023 to 2033)
Sales of intelligent enterprise data capture software are estimated to be US$ 399.7 million in 2023. Intelligent enterprise data capture software is expected to progress at a stellar rate in Korea, with a CAGR of 16.9% for the period from 2023 to 2033. The increasing inclination of consumers in Korea toward digital solutions is driving this demand. By 2033, the intelligent enterprise data capture software sales are projected to have escalated to US$ 1,898.8 million.
Key Insights for Intelligent Enterprise Data Capture Software in Korea
The infusion of various advanced technologies like optical character recognition (OCR) and robotic process automation (RPA) into intelligent enterprise data capture software is encouraging consumers in Korea. The capabilities of this software product are ever-increasing and consumers in Korea are responding positively to new developments.
Traditional manual methods of data capture are progressively falling out of favor in Korea due to their time and labor-intensive nature. As a result, consumers in Korea are increasingly turning to intelligent enterprise data capture software.
The intelligent data capture software is producing results that are endearing it to consumers in Korea. It offers precision in results, while also saving time and effort, factors that are greatly appreciated by consumers in this country.
Attributes
Details
Industry size for Korea in 2023
US$ 399.7 million
Expected Industry Size for Korea by 2033
US$ 1,898.8 million
Forecasted CAGR between 2023 to 2033
16.9%
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Key Trends for Intelligent Enterprise Data Capture Software in Korea
Cloud-based intelligent enterprise data capture software is seeing greater demand in Korea. It offers flexibility and more space to organizations. Mobile applications with intelligent enterprise data capture software are also gaining visibility in Korea.
Increasing adoption of data management and data support systems is seen across the Korea’s digital space. The populace in this country is exploring innovative ways of data management. Thus, intelligent enterprise data capture software is gaining a foothold in the country.
The scope of intelligent enterprise data capture software is not limited to large organizations. Medium-scale and small-scale enterprises in Korea too are also making use of the software product to illuminate data analysis.
Intelligent enterprise data capture software is undergoing a revolution with the help of AI. AI-infused intelligent enterprise data capture software is further easing the task of data analysis for consumers in Korea.
Intelligent enterprise data capture software often comes bundled with other data applications like Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP). The bundled series of software applications is proving to be a hit in Korea.
Comparative View of Intelligent Enterprise Data Capture Software in Key Markets
An analysis of the intelligent enterprise data capture software industry is conducted in two regions other than Korea: Japan and Western Europe. This analysis provides insight into key trends related to intelligent enterprise data capture software, aside from Korea. Additionally, it allows for a comparison of the progress of the product across different regions.
Demand for Intelligent Enterprise Data Capture Software in Korea:
Attributes
Demand for Intelligent Enterprise Data Capture Software in Korea
CAGR (2023 to 2033)
16.9%
Valuation (2023)
US$ 399.7 million
Key Trend
Bundling of intelligent enterprise data capture software with other applications
Key Challenge
Questions about reliability is a crucial challenge
Demand for Intelligent Enterprise Data Capture Software in Japan:
Attributes
Demand for Intelligent Enterprise Data Capture Software in Japan
CAGR (2023 to 2033)
12.1%
Valuation (2023)
US$ 420.7 million
Key Trend
Medium and small-scale organizations adopting intelligent enterprise data capture software
Key Challenge
Stringent laws make software companies hesitant
Demand for Intelligent Enterprise Data Capture Software in Western Europe:
Attributes
Demand for Intelligent Enterprise Data Capture Software in Western Europe
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Category-wise Insights
Customers Prefer Having Control of the Software
Customers in Korea are looking for intelligent enterprise data capture software that is easily accessible. In 2023, software accounts for 65.5% of the industry share by product type.
Demand for Intelligent Enterprise Data Capture Software in Korea Based on Product Type
Software
Industry Share in 2023
65.5%
Training and consulting services for intelligent enterprise data capture software are available in Korea. However, customers here show a preference for purchasing the complete software package. By having full-time access to the software, organizations can refer to it at short notice to glean data insights.
Intelligent Enterprise Data Capture Software is Rapidly Deployed for Sale Services
The sales category lead the line of business segment for intelligent enterprise data capture software. As of 2023, sales hold 27.3% of the industry share by line of business.
Demand for Intelligent Enterprise Data Capture Software in Korea Based on Line of Business
Sales
Industry Share in 2023
27.3%
In modern sales fields, there is an increasing need for data to identify and target consumers. This is why enterprises and individuals in the sales sector are utilizing intelligent enterprise data capture software. Enterprises in the sales field are quickly adopting this technology across Korea.
Competitive Landscape
The expanding software landscape in Korea is fostering the growth of numerous local companies. However, multinational giants also have a significant presence in the country, dominating a considerable portion of the consumer base. Local startups in Korea are actively seeking foreign investments to align with their ambitious goals. Korea-based companies are keen on expanding beyond the borders of the country and exploring new regions.
Recent Developments Observed in Intelligent Enterprise Data Capture Software in Korea
In September 2023, the Korean giant Solis-IDC announced plans for a data center in India. The investment involved in the center is substantial, totaling US$ 2 million.
In May 2023, Chequer Inc. received funding from the Korea Credit Guarantee Fund (KODIT). Chequer Inc. has developed QueryPie, a data management system specializing in cloud-based solutions for enterprises.
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Some of the Key Players with Intelligent Enterprise Data Capture Software in Korea
ABBYY
Adobe
Ephesoft
Artsyl Technologies
CAPSYS Technologies
Oracle Corporation
SAP SE
Open Text Corporation
Hyland Software, Inc.
BOX
M-Files Inc.
Kofax
Nuance Communications
Solis-IDC
Chequer Inc.
Scope of the Report
Attribute
Details
Estimated Industry Size in 2023
US$ 399.7 million
Projected Industry Size in 2033
US$ 1,898.8 million
Anticipated CAGR between 2023 to 2033
16.9% CAGR
Historical Analysis of Demand for Intelligent Enterprise Data Capture Software in Korea
2018 to 2022
Demand Forecast for Intelligent Enterprise Data Capture Software in Korea
2023 to 2033
Report Coverage
Industry Size, Industry Trends, Key Insights for Intelligent Enterprise Data Capture Software in Korea, Insights on Global Players and Leading Industry Strategy in Korea, Ecosystem Analysis of Local and Regional Korea Providers
Key Cities Profiled
South Gyeongsang
North Jeolla
South Jeolla
Jeju
Key Companies Profiled
ABBYY
Adobe
Ephesoft
Artsyl Technologies
CAPSYS Technologies
Oracle Corporation
SAP SE
Open Text Corporation
Hyland Software, Inc.
BOX
M-Files Inc.
Kofax
Nuance Communications
Solis-IDC
Chequer Inc.
Key Segments
By Product Type:
Intelligent Enterprise Data Capture Software
Handwriting Recognition
Optical Character Recognition
Intelligent Document Recognition
Intelligent Enterprise Data Capture Services
Consulting
Training
Implementation & Support
By Line of Business:
Finance
Sales
Human Resource
Marketing
Legal Sector
By Cities/Provinces:
South Gyeongsang
North Jeolla
South Jeolla
Jeju
Frequently Asked Questions
What is the Industry Size of Intelligent Enterprise Data Capture Software in Korea?
The industry size of intelligent enterprise data capture software is valued at US$ 399.7 million in 2023.
At what Rate is Intelligent Enterprise Data Capture Software Growing in Korea?
Intelligent enterprise data capture software is forecasted to develop at a rate of 16.9% in Korea.
What Strategies are Intelligent Enterprise Data Capture Software Providers in Korea Employing to Drive Sales?
Bundling of different types of software and introducing new technologies are two of the strategies employed by suppliers.
What is the Preferred Product Type in Intelligent Enterprise Data Capture Software in Korea?
Software is the preferred product type in intelligent enterprise data capture software in Korea.
What Line of Business Commonly Uses Intelligent Enterprise Data Capture Software in Korea?
Sales is the leader in the line of business segment of intelligent enterprise data capture software in Korea.
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 Product Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033
5.3.1. Software
5.3.1.1. Handwriting Recognition
5.3.1.2. Optical Character Recognition
5.3.1.3. Intelligent Document Recognition
5.3.2. Services
5.3.2.1. Consulting
5.3.2.2. Training
5.3.2.3. Implementation & Support
5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033
6. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Deployment
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
6.3.1. On-premise
6.3.2. SaaS & PaaS
6.3.3. Hybrid
6.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
7. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Line of Business
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Line of Business, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Line of Business, 2023 to 2033
7.3.1. Finance
7.3.2. Sales
7.3.3. Human Resource
7.3.4. Marketing
7.3.5. Legal
7.4. Y-o-Y Growth Trend Analysis By Line of Business, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Line of Business, 2023 to 2033
8. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Industries
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Industries, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industries, 2023 to 2033
8.3.1. BFSI
8.3.2. Healthcare
8.3.3. Media & Entertainment
8.3.4. Education
8.3.5. Professional Services
8.3.6. Construction
8.3.7. Retail
8.3.8. Government
8.3.9. Manufacturing
8.3.10. Others
8.4. Y-o-Y Growth Trend Analysis By Industries, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Industries, 2023 to 2033
9. Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. South Gyeongsang
9.3.2. North Jeolla
9.3.3. South Jeolla
9.3.4. Jeju
9.3.5. Rest of Korea
9.4. Market Attractiveness Analysis By Region
10. South Gyeongsang 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 Product Type
10.2.2. By Deployment
10.2.3. By Line of Business
10.2.4. By Industries
10.3. Market Attractiveness Analysis
10.3.1. By Product Type
10.3.2. By Deployment
10.3.3. By Line of Business
10.3.4. By Industries
10.4. Key Takeaways
11. North 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 Product Type
11.2.2. By Deployment
11.2.3. By Line of Business
11.2.4. By Industries
11.3. Market Attractiveness Analysis
11.3.1. By Product Type
11.3.2. By Deployment
11.3.3. By Line of Business
11.3.4. By Industries
11.4. Key Takeaways
12. South Jeolla 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 Product Type
12.2.2. By Deployment
12.2.3. By Line of Business
12.2.4. By Industries
12.3. Market Attractiveness Analysis
12.3.1. By Product Type
12.3.2. By Deployment
12.3.3. By Line of Business
12.3.4. By Industries
12.4. Key Takeaways
13. Jeju 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 Product Type
13.2.2. By Deployment
13.2.3. By Line of Business
13.2.4. By Industries
13.3. Market Attractiveness Analysis
13.3.1. By Product Type
13.3.2. By Deployment
13.3.3. By Line of Business
13.3.4. By Industries
13.4. Key Takeaways
14. Rest of Korea Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Product Type
14.2.2. By Deployment
14.2.3. By Line of Business
14.2.4. By Industries
14.3. Market Attractiveness Analysis
14.3.1. By Product Type
14.3.2. By Deployment
14.3.3. By Line of Business
14.3.4. By Industries
14.4. Key Takeaways
15. Market Structure Analysis
15.1. Competition Dashboard
15.2. Competition Benchmarking
15.3. Market Share Analysis of Top Players
15.3.1. By Regional
15.3.2. By Product Type
15.3.3. By Deployment
15.3.4. By Line of Business
15.3.5. By Industries
16. Competition Analysis
16.1. Competition Deep Dive
16.1.1. ABBYY
16.1.1.1. Overview
16.1.1.2. Product Portfolio
16.1.1.3. Profitability by Market Segments
16.1.1.4. Sales Footprint
16.1.1.5. Strategy Overview
16.1.1.5.1. Marketing Strategy
16.1.2. Adobe
16.1.2.1. Overview
16.1.2.2. Product Portfolio
16.1.2.3. Profitability by Market Segments
16.1.2.4. Sales Footprint
16.1.2.5. Strategy Overview
16.1.2.5.1. Marketing Strategy
16.1.3. Ephesoft
16.1.3.1. Overview
16.1.3.2. Product Portfolio
16.1.3.3. Profitability by Market Segments
16.1.3.4. Sales Footprint
16.1.3.5. Strategy Overview
16.1.3.5.1. Marketing Strategy
16.1.4. Artsyl Technologies
16.1.4.1. Overview
16.1.4.2. Product Portfolio
16.1.4.3. Profitability by Market Segments
16.1.4.4. Sales Footprint
16.1.4.5. Strategy Overview
16.1.4.5.1. Marketing Strategy
16.1.5. CAPSYS Technologies
16.1.5.1. Overview
16.1.5.2. Product Portfolio
16.1.5.3. Profitability by Market Segments
16.1.5.4. Sales Footprint
16.1.5.5. Strategy Overview
16.1.5.5.1. Marketing Strategy
16.1.6. Oracle Corporation
16.1.6.1. Overview
16.1.6.2. Product Portfolio
16.1.6.3. Profitability by Market Segments
16.1.6.4. Sales Footprint
16.1.6.5. Strategy Overview
16.1.6.5.1. Marketing Strategy
16.1.7. SAP SE
16.1.7.1. Overview
16.1.7.2. Product Portfolio
16.1.7.3. Profitability by Market Segments
16.1.7.4. Sales Footprint
16.1.7.5. Strategy Overview
16.1.7.5.1. Marketing Strategy
16.1.8. Open Text Corporation
16.1.8.1. Overview
16.1.8.2. Product Portfolio
16.1.8.3. Profitability by Market Segments
16.1.8.4. Sales Footprint
16.1.8.5. Strategy Overview
16.1.8.5.1. Marketing Strategy
16.1.9. Hyland Software, Inc.
16.1.9.1. Overview
16.1.9.2. Product Portfolio
16.1.9.3. Profitability by Market Segments
16.1.9.4. Sales Footprint
16.1.9.5. Strategy Overview
16.1.9.5.1. Marketing Strategy
16.1.10. BOX
16.1.10.1. Overview
16.1.10.2. Product Portfolio
16.1.10.3. Profitability by Market Segments
16.1.10.4. Sales Footprint
16.1.10.5. Strategy Overview
16.1.10.5.1. Marketing Strategy
16.1.11. M-Files Inc.
16.1.11.1. Overview
16.1.11.2. Product Portfolio
16.1.11.3. Profitability by Market Segments
16.1.11.4. Sales Footprint
16.1.11.5. Strategy Overview
16.1.11.5.1. Marketing Strategy
16.1.12. Kofax
16.1.12.1. Overview
16.1.12.2. Product Portfolio
16.1.12.3. Profitability by Market Segments
16.1.12.4. Sales Footprint
16.1.12.5. Strategy Overview
16.1.12.5.1. Marketing Strategy
16.1.13. Nuance Communications
16.1.13.1. Overview
16.1.13.2. Product Portfolio
16.1.13.3. Profitability by Market Segments
16.1.13.4. Sales Footprint
16.1.13.5. Strategy Overview
16.1.13.5.1. Marketing Strategy
17. Assumptions & Acronyms Used18. Research Methodology
