Data Pipeline Tools Market Size Worth $30 Billion By 2030 | CAGR: 20.2%

Data Pipeline Tools Market Size Worth $30 Billion By 2030 | CAGR: 20.2%

The global data pipeline tools market size is expected to reach USD 30 billion by 2030, according to a new study by Polaris Market Research. The report “Data Pipeline Tools Market Share, Size, Trends, Industry Analysis Report, By Component (Tools, Services); By Type; By Deployment Mode (Cloud, On-Premise); Organization Size; By Application; By Verticals; By Region; Segment Forecast, 2022 - 2030” gives a detailed insight into current market dynamics and provides an analysis of future market growth.


A data pipeline is used to move data from a primary location where the data is collected or stored to a secondary location where the data is combined with other data inputs. Many businesses deploy data on the on-premises system for security & data privacy concerns. Sometimes these companies require data pipeline tools as well.


However, modern data pipelines rely on the cloud, which allows users to scale up or down computing and storage resources automatically. Some companies prefer cloud data storage for more scalable and cost-efficient operations. Thus, the growing trend of cloud computing with advanced technologies in big data analytics makes the market more lucrative.


The growing demand for a data-driven system to reduce the intricacy of merging data from various fundamental decision-making sources across multiple verticals is increasing the product need and influencing market growth. Additionally, the increasing information for self-service data pipeline tools positively impacted market growth.


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A collection of procedures, tools, and techniques to process raw data makes up a data pipeline. Pipelines are made of numerous interrelated processes coupled in series to transfer data from its point of origin to the target repository. Additionally, these procedures involve various steps, each involving the ingestion and processing of data, raising the demand for data pipeline tools to manage the data.


In addition, the rising demand for large-scale data handling with adequate and accurate analysis that provide data-driven import and treatment procedures in real-time leads to appropriate decision-making. Moreover, the inbuilt-integration tools that reduce time, labor, and money to create connections between various components are in demand across the IT sector, increasing the need for data pipeline tools.


Data pipeline tools Market Report Highlights

  • The growing demand for tools segment in several applications as it cuts down efforts and expense and manages time while creating links across various independent data sources. In addition, rising technologies such as big data and IoT have significantly influenced data pipeline tools' usage.
  • The ETL pipeline segment accounted for the highest revenue share in 2021 and is expected to continue its dominance owing to its ability to generate data for analytics and business intelligence and make it readily available for data scientists. In addition, the deployment of this data type is inexpensive, gradual, and continuous without disturbing the workflow, increasing its demand across various business sectors.
  • Healthcare & life science segment is expected to spearhead revenue growth as these industries generate vast data which needs proper management and security to access on-premise. The data pipeline enables data access among professionals and patients and modifies data accordingly. Additionally, these tools provide precise diagnoses and make the medical data reliable, propelling the segment’s growth.
  • North America is expected to grow over the forecast period as major key players provide end-to-end data pipelines to look into any data transformation at every step. Moreover, the rising cyberattacks and demand for a security system are increasing the demand for data pipeline tools across the U.S. and Canada.
  • Major players operating in the industry include Actian, Adeptia, Alteryx, AWS, Blendo, Confluent, Denodo Technologies, Estuary Flow, Fivetran, Gathr, Google, Hevodata, Hitachi Vantara, IBM, Integrato.Io, K1View, Microsoft, Informatica, Oracle, Precisely, Qlik, Rivery.Io, SAP SE, Snaplogic, Snowflake, Software AG, Talend, Tapclicks, And Tibco.


Polaris Market Research has segmented the data pipeline tools market report based on component, type, deployment mode, organization size, application, verticals and region:


Data Pipeline Tools, Component Outlook (Revenue - USD Billion, 2018 - 2030)

  • Tools
  • Services

Data Pipeline Tools, Type Outlook (Revenue - USD Billion, 2018 - 2030)

  • ELT Data Pipeline
  • ETL Data Pipeline
  • Streaming Data Pipeline
  • Batch Data Pipeline
  • Change Data Capture Pipeline (CDC)

Data Pipeline Tools, Deployment Mode Outlook (Revenue - USD Billion, 2018 - 2030)

  • Cloud
  • On-Premises

Data Pipeline Tools, Organization Size Outlook (Revenue - USD Billion, 2018 - 2030)

  • Large Enterprises
  • SMEs

Data Pipeline Tools, Application Outlook (Revenue - USD Billion, 2018 - 2030)

  • Real Time Analytics
  • Sales And Marketing Data
  • Customer 360 & Customer Relationship Management
  • Predictive Maintenance
  • Customer Experience Management
  • Data Migration
  • Data Traffic Management
  • Other

Data Pipeline Tools, Verticals Outlook (Revenue - USD Billion, 2018 - 2030)

  • BFSI
  • Government And Defense
  • Retail And Ecommerce
  • Healthcare And Life Sciences
  • Energy And Utilities
  • Telecom
  • It And ITeS
  • Manufacturing
  • Transportation And Logistics
  • Other

Data pipeline tools, Regional Outlook (Revenue - USD Billion, 2018 - 2030)

  • North America
    • U.S
    • Canada
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Russia
    • Netherlands
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Indonesia
    • Malaysia
  • Latin America
    • Argentina
    • Brazil
    • Mexico
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Israel
    • South Africa