Press release
Emerging Sub-Segments Transforming the Data Conversion Services Market Landscape
Data Conversion Services Market
Anticipated Market Expansion in Data Conversion Services
The global data conversion services market is projected to reach $12.42 billion by 2030, growing at a compound annual growth rate (CAGR) of 11.2%. This surge is fueled by factors such as the rise in cloud migration activities, the widespread adoption of automated data conversion tools, growing investments in AI-driven data management, and the increasing emphasis on digital transformation initiatives. Additionally, the demand for real-time data processing and scalable conversion solutions continues to propel this market forward. Key trends influencing market growth include innovations in automated data conversion technologies, AI-enabled data transformation, cloud-native conversion platforms, real-time data migration, and integrated data quality tools.
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Significant Corporations Leading the Data Conversion Services Market
Several prominent companies shape the competitive landscape of the data conversion services market, including accenture* plc, NTT DATA Corporation, Tata Consultancy Services Limited, Capgemini SE, Cognizant Technology Solutions Corporation, Kyndryl Holdings Inc., DXC Technology Company, HCL Technologies Limited, Wipro Limited, Tech Mahindra Limited, Iron Mountain Incorporated, Genpact India Private Limited, EXLService Holdings Inc., Cogneesol Inc., Invensis Technologies Pvt. Ltd., Flatworld Solutions, SunTec Data Services, Arcgate Technologies, DataEntryIndia.in, and Outsource2India.
Strategic Acquisition Enhancing Cloud Data Conversion Capabilities
In October 2023, Onix, a US-based cloud consulting firm and Google Cloud partner, acquired Datametica, a move aimed at strengthening its cloud data conversion and modernization services. This acquisition integrates Datametica's expertise in automated data migration, ETL and warehouse modernization, and analytics workloads. By expanding its end-to-end data transformation solutions, Onix plans to help enterprises efficiently transition legacy systems to cloud-native platforms, thereby fostering long-term growth and accelerating digital transformation adoption. Datametica serves global clients with services including data migration, data warehouse modernization, ETL conversion, and analytics.
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AI-Powered Innovations Driving Future Trends in Data Conversion
Leading companies in the data conversion services market are increasingly focusing on AI-driven platforms that facilitate enterprise data modernization. These solutions, known as AI-powered migration accelerators, automate the extraction, transformation, and loading (ETL) of legacy data into modern cloud-based systems. They also ensure data integrity and enhance usability for analytics and operational processes. For example, in May 2024, Persistent Systems, an India-based modernization firm, introduced iAURA Migrate, part of its AI-powered iAURA suite. This platform automates data warehouse and ETL workload migration, supports data reconciliation, and ensures the data is analytics-ready. By minimizing manual tasks and reducing risks of data loss or errors, iAURA Migrate accelerates cloud migration while maintaining high data quality, marking a significant advancement in enterprise data conversion through speed, precision, and automation.
Detailed Breakdown of Segments in the Data Conversion Services Market
The data conversion services market is categorized into several key segments:
1) By Service Type: Data Transformation, Data Migration, Document Digitization, Database Conversion, Data Cleansing and Validation
2) By Data Type: Structured Data, Unstructured Data, Semi-Structured Data
3) By Deployment Model: On-Premises Solutions, Cloud-Based Solutions, Hybrid Solutions
4) By Organization Size: Small and Medium Enterprises, Large Enterprises
5) By End-User Industry: Information Technology and Telecommunications, Banking Financial Services and Insurance, Healthcare and Life Sciences, Manufacturing, Retail and E-Commerce, Government and Defense, Education, Energy and Utilities, Media and Entertainment
Further subcategories include:
- Data Transformation: Format Standardization, Data Structuring, Data Normalization, Data Parsing, Data Mapping
- Data Migration: System Migration, Cloud Migration, Application Migration, Storage Migration, Platform Migration
- Document Digitization: Image Scanning, Text Extraction, Optical Character Recognition Processing, Document Indexing, Document Archiving
- Database Conversion: Schema Conversion, Code Conversion, Query Conversion, Database Reengineering, Data Model Conversion
- Data Cleansing and Validation: Data Deduplication, Error Correction, Data Standardization, Data Verification, Data Validation Checks
This segmentation provides a comprehensive view of the various services, data formats, deployment strategies, customer sizes, and industries that form the backbone of the data conversion services market.
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