The Global Data Pipeline Tools Market size is expected to reach $19 billion by 2028, rising at a market growth of 19.4% CAGR during the forecast period.
Data pipeline tools is a class of software that enables the transfer of huge volumes of data from diverse sources of data to a central location, typically a data warehouse. Typically, data is normalized or transformed so that it is in a standard format and structure and can be utilized for analysis and reporting in the data warehouse. There are numerous types of data pipeline tools on the market. A fundamental characteristic of data pipeline solutions is their ability to integrate data from various sources into a single destination or database, often a data warehouse.
A data pipeline can also be referred to as a series of tools and procedures used to automate the transfer and transformation of data from a source system to a target repository. A data pipeline is a sequence of stages for processing data. If the data has not been imported onto the data platform, it is ingested at the outset of the pipeline. Then, a succession of steps follows, with each step delivering an output that serves as the input for the subsequent step. This is repeated until the pipeline is finished. In certain instances, independent processes may be executed in real-time.
Data pipelines consist of three essential components viz. a source, one or more processing steps, and a destination. In certain data pipelines, the endpoint may be referred to as a sink. Data pipelines facilitate the transfer of data, for instance, from a data lake to an analytics database, from an application to a data warehouse, or into a payment processing system. Data pipelines may alternatively have the same source and destination, in which case the pipeline's sole purpose is to modify the data collection. Whenever data is handled between points A and B (or B, C, and D), a data pipeline exists between those points.
The COVID-19 pandemic caused severe damage to several economies throughout the world. In addition, a number of businesses across various industries were significantly demolished. Governments in numerous nations were compelled to impose lockdowns throughout their countries in order to regulate the spread of the coronavirus. Additionally, a variety of industrial operations were interrupted by these lockdowns. The growth of the data pipeline tools market was also disrupted during the initial period of the pandemic. Due to these lockdowns, a number of businesses were temporarily closed. As a result, business activities were suspended during the initial phase of the pandemic, reducing demand for devices.
In a multi-cloud, data bottlenecks might develop while traveling from one system to another. As the amount of data used increases, these costs may increase. Latency is affected by the efficacy of stream computing, message queue, and databases used to store calculating results. Due to the fact that business intelligence systems require adequate data for decision-making, it is essential to keep latency as low as possible.
With the rapid modernization throughout the world, the number of Internet of Things devices, or connected devices, is increasing rapid. In recent years, the number of IoT connections increased significantly as a result of the advent of several new and technologically advance devices at very affordable prices. The increasing demand for IoT solutions along with favorable optimism in the IoT community and most IoT end markets is also anticipated to substantially boost the demand for connected devices all over the world in the coming years.
Data is the main driver behind the decisions and operations of businesses that are data-driven. There may be times when their data are unreliable or inadequate, especially during events, like infrastructure upgrades, M&A, reorganizations, and migrations). This data inaccessibility can negatively affect enterprises in numerous ways, including customer complaints and unsatisfactory analytical conclusions. Data engineer spends a significant proportion of their time upgrading, maintaining, and ensuring the integrity of the data pipeline.
Based on Application, the Data Pipeline Tools Market is classified into Real time Analytics, Sales and Marketing Data, Customer 360 & Customer Relationship Management, Predictive Maintenance, Customer Experience Management, Data Migration, Data Traffic Management, Other Applications. In 2021, the predictive maintenance segment acquired the highest revenue share of the data pipeline tools market. Predictive maintenance (PdM) is a strategy that employs data analysis tools and procedures to discover anomalies in business operations and potential flaws in equipment and processes so that they can be repaired prior to failure.
By Vertical, the Data Pipeline Tools Market is segmented into BFSI, Government and Defense, Retail and eCommerce, Healthcare and Life Sciences, Energy and Utilities, Telecom, IT and ITeS, Manufacturing, Transportation and Logistics, and Other Verticals. In 2021, the BFSI segment acquired the highest revenue share of the data pipeline tools market. The rapid upsurge in the growth of the segment is attributed to the widespread digitalization of companies and organizations within the banking and financial services sector.
By Deployment Mode, the Data Pipeline Tools Market is divided into Cloud and On-premises. In 2021, the cloud deployment segment garnered a substantial revenue share of the data pipeline tools market. Modern data pipelines can benefit an organization in a variety of ways, such as by making insights as well as data more available, accelerating decision-making, and enabling flexibility and adaptability during times of high demand. Modern, cloud-based data pipelines can benefit from greater versatility than conventional systems.
On the basis of Organization size, the Data Pipeline Tools Market is categorized into Large Enterprises and SMEs. In 2021, the large enterprises segment procured the biggest revenue share of the data pipeline tools market. The rapid surge in the growth of the segment is attributed to the significant amount of data that is being generated within this type of organization. Due to this, the demand for a more effective medium to transfer data is increasing at a rapid rate. This factor is boosting the growth of this segment of the market.
On the basis of Component, the Data Pipeline Tools Market is bifurcated into Tools and Service. In 2021, the services segment garnered a significant revenue share of the data pipeline tools market. The rising growth of the segment is primarily attributed to the increasing adoption of data pipeline services among several large enterprises. In order to transfer data to their primary server, organizations are increasingly deploying data pipeline services.
Based on Type, the Data Pipeline Tools Market is segregated into ELT Data Pipeline, ETL Data Pipeline, Streaming Data Pipeline, Batch Data Pipeline, Change Data Capture Pipeline (CDC). In 2021 the ETL data pipeline segment procured the highest revenue share of the data pipeline tools market. An ETL pipeline is a collection of operations used to transfer data from a source or numerous sources into a database, such as a data warehouse. ETL is an acronym for extract, transform, and load, three interdependent data integration operations used to transport data from one database to another.
| Report Attribute | Details |
|---|---|
| Market size value in 2021 | USD 5.7 Billion |
| Market size forecast in 2028 | USD 19 Billion |
| Base Year | 2021 |
| Historical Period | 2018 to 2020 |
| Forecast Period | 2022 to 2028 |
| Revenue Growth Rate | CAGR of 19.4% from 2022 to 2028 |
| Number of Pages | 435 |
| Number of Tables | 713 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Companies Strategic Developments, Company Profiling |
| Segments covered | Application, Vertical, Deployment Mode, Organization Size, Component, Type, Region |
| Country scope | US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria |
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| Restraints |
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Region-Wise, the Data Pipeline Tools Market is analyzed across North America, Europe, Asia-pacific, and LAMEA. In 2021, North America accounted for the largest revenue share of the data pipeline tools market. The rise in the growth of the market is majorly owing to the increasing number of IT and telecom companies in the region. Due to this expansion, the volume of data being generated throughout the region is increasing.
Free Valuable Insights: Global Data Pipeline Tools Market size to reach USD 19 Billion by 2028
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Data Pipeline Tools Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), SAP SE, Oracle Corporation, IBM Corporation are some of the key innovators in Data Pipeline Tools Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, IBM Corporation, Microsoft Corporation, Oracle Corporation (Cerner Corporation), Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, Software AG, Snowflake, Inc., Tibco Software, Inc. (Vista Equity Partners) and Precisely (Clearlake Capital Group)
By Application
By Vertical
By Deployment Mode
By Organization Size
By Component
By Type
By Geography
The Data Pipeline Market size is projected to reach USD 19 billion by 2028.
Offers Reduced Latency to Boost the Efficiency of The Data Transfer Process are driving the market in coming years, however, Extended Data Downtime During the Process restraints the growth of the market.
SAP SE, IBM Corporation, Microsoft Corporation, Oracle Corporation (Cerner Corporation), Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, Software AG, Snowflake, Inc., Tibco Software, Inc. (Vista Equity Partners) and Precisely (Clearlake Capital Group)
The On-premise market is generating high revenue in the Global Data Pipeline Tools Market by Deployment Mode in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $11.1 billion by 2028.
The Tools market is leading the segment in Global Data Pipeline Tools Market by Component in 2021; thereby, achieving a market value of $12.2 billion by 2028.
The North America market dominated the Global Data Pipeline Tools Market by Region in 2021; thereby, achieving a market value of $6.7 billion by 2028.
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