Global Data Pipeline Tools Market is valued at approximately USD 7.1 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 24.5% over the forecast period 2022-2029. Data extraction from a data source, data transformations, and data movement into one or more data storage sites are all made easier with the aid of data pipeline technologies. Each step in the data pipeline process can be completed using a variety of tools, which cover every part of it. The market is being driven by factors including the expansion of AI and ML implementation and adoption, as well as the expansion of IoT use.
According to the data published by, the State of IoT Spring 2022, with more than 12.2 billion active endpoints, the IoT connections have grown by 8.0% across the world as compared to the year 2021. Furthermore, as per Statista, the number of IoT connected devices would reach 29.42 million by year 2030. Thus, the rising adoption of IoT connected devices is catering to the market growth. Implementing 5G, lowering data latency, increasing demand for tools transporting data from disparate sources to the cloud or warehouse, and the growth of cloud computing are other significant factors causing space to expand. However, over the projected period of 2022-2029, data downtime and a lack of experience among workforces may restrain market expansion.
The key regions considered for the Global Data Pipeline Tools Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to high investments in AI technology and other advanced technologies. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rise in number of initiatives taken by various end-use industries for reducing the latency in this region.
Major market players included in this report are:
Hevo Data Inc.
Amazon Web Services, Inc.
Recent Developments in the Market:
In June 2022, Snap Logic introduced Snap Logic Accelerator for Amazon Health Lake. It will make it possible for healthcare organisations to learn new information about healthcare. Additionally, it is anticipated to assist healthcare institutions in automating procedures and enhance the general patient experience.
In May 2022, SoftServe entered into a partnership with Google Cloud to build the services, Manufacturing Data Engine, which is a comprehensive solution that analyses, contextualises, and manages industrial data on the premier data platform in the market, Google Cloud. A platform called Manufacturing Connect was developed at the factory edge in association with Litmus Automation. It quickly attaches to any industrial or manufacturing equipment and sends data from there to Google Cloud.
Global Data Pipeline Tools Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Type, Deployment, Enterprise Size, Application, End-use, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Type offerings of key players. The detailed segments and sub-segment of the market are explained below:
ELT Data Pipeline
Real-Time Data Pipeline
Batch Data Pipeline By Deployment: On-premise Cloud
By Enterprise Size:
Small and Medium Enterprise
Real Time Analytics
Sales and Marketing Data
Customer Relationship Management
Data Traffic Management
Retail and E-commerce
IT and Telecom
Transportation and Logistics
Rest of the World