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Cloud Computing's Surge Fuels Data Pipeline Tools Market Growth: The Driving Engine Behind Data Pipeline Tools Market Evolution in 2025

10-22-2025 12:51 PM CET | IT, New Media & Software

Press release from: The Business Research Company

Data Pipeline Tools

Data Pipeline Tools

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What Will the Data Pipeline Tools Industry Market Size Be by 2025?
The market size for data pipeline tools has seen a significant surge in recent years and is predicted to expand from $11.24 billion in 2024 to $13.65 billion in 2025, at a compound annual growth rate (CAGR) of 21.5%. The historical growth can be credited to the increasing need for responsiveness to meet high demand peaks, enhanced data protection requirements, increasing demands for tool segments, an emerging need to decrease data latency, and the pressing need to enhance data quality.

What's the Long-Term Growth Forecast for the Data Pipeline Tools Market Size Through 2029?
The market size for data pipeline tools is anticipated to witness a significant increase in the coming years, reaching $29.57 billion by 2029 with a compound annual growth rate (CAGR) of 21.3%. This anticipated growth during the forecast period can be accredited to the swift upsurge in the utilization of machine learning tools, a higher acceptance rate of machine learning and data analytics tools, growing demand for data-driven understandings and increased adoption of cloud computing. Key trends projected in this same period include occurrences of data downtime, real-time data processing, the integration of AI and machine learning, containerization, and event-driven architectures.

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What Are the Key Growth Drivers Fueling the Data Pipeline Tools Market Expansion?
The data pipeline tools market is predicted to expand due to the amplified use of cloud computing. Operating as an internet-based computing service, cloud computing provides unfettered access to numerous resources such as storage, servers, data warehouses, networks, and software upon demand. Its rising acceptance stems from its ability to offer a cost-effective, adaptable, and innovative solution, catering to the fluctuating needs of users and organizations. Data pipeline tools deployed in cloud computing are used for assimilating data from varied sources, transforming it for analysis, and establishing more reliable data analytics by eliminating data silos. For instance, the European Commission (EC), citing Belgium-based EU's executive body's data from December 2023, reported that the utilization of cloud-based services in the European Union had escalated by 4.2 percentage points in 2023, with 45.2% of businesses opting for cloud computing services. This marked a significant increase from 2021. Subsequently, this rising use of cloud computing is propelling the data pipeline tools market's growth.

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What Are the Key Trends Driving Data Pipeline Tools Market Growth?
Key players in the data pipeline tools market are concentrating their efforts on the innovation of technologies like SnapGPT to streamline data pipeline creation. The generative AI tool, SnapGPT, represents AI systems that possess the ability to produce fresh and original content across multiple formats including audio, code, images, text, simulations, and videos. Launched in August 2023 by SnapLogic, a software firm in the US, the AI tool SnapGPT is engineered to simplify the process of developing data pipelines. It provides a swift and user-friendly method to integration tasks, and it's capable of crafting precise and efficient queries and data conversions. Other advanced features of SnapGPT include text and image recognition, speech-to-text, pipeline construction, and rapid integration prototyping. When combined, these features form a potent tool for data integration, merging AI-driven capabilities with easy-to-use functionalities to expedite the formulation of data pipelines and workflows.

How Is the Data Pipeline Tools Market Segmented?
The data pipeline toolsmarket covered in this report is segmented -

1) By Component: Tools, Service
2) By Deployment: On-Premise, Cloud-Based
3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
4) By Application: Real Time Analytics, Sales And Marketing Data, Customer 360 And Customer Relationship Management, Predictive Maintenance, Customer Experience Management, Data Migration, Data Traffic Management, Other Applications
5) By End-User: Banking, Financial Services, And Insurance, Retail And E-Commerce, Information Technology And Telecom, Healthcare, Transportation And Logistics, Manufacturing, Other End-Users

Subsegments:
1) By Tools: Data Ingestion Tools, Data Processing Tools, Data Transformation Tools, Data Orchestration Tools, Data Workflow Automation Tools, Data Integration Tools, Real-Time Data Streaming Tools, Data Storage And Management Tools
2) By Service: Consulting Services, Integration And Deployment Services, Support AndMaintenance Services, Managed Services

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Which Companies Are Leading the Charge in Data Pipeline Tools Market Innovation?
Major companies operating in the data pipeline tools market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Charles River Laboratories (CRL), Hitachi Vantara LLC, Informatica LLC, Databricks Inc., Snowflake Inc., Software AG, Tibco Software Inc., Alteryx Inc., Qlik Technologies Inc., Confluent Inc., Confluent Inc., Talend Inc., Denodo Technologies, Actian Corporation, Fivetran Inc., SnapLogic Inc., Hevodata Inc., Adeptia Inc., K2View Ltd.

Which Regions Are Leading the Global Data Pipeline Tools Market in Revenue?
North America was the largest region in the data pipeline tools market in 2024. The regions covered in the data pipeline tools market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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3.Policy Makers & Regulators - To track industry developments and align regulatory frameworks.
4.Consultants & Analysts - To support market entry, expansion strategies, and client advisory work.

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Europe: +44 7882 955267,
Email: saumyas@tbrc.info

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