Data Pipeline Tools Market Statistics, 2031
The global data pipeline tools market was valued at $6.8 billion in 2021 and is projected to reach $35.6 billion by 2031, growing at a CAGR of 18.2% from 2022 to 2031.
A data pipeline is a set of procedures that enables data from one system to migrate to and be usable in another system, specific solutions for analytics, data science, artificial intelligence (AI), and machine learning. The basic operation of a data pipeline is to extract data from the source, apply rules for transformation and processing, and then push the data to the desired location. According to research by Software AG, there are 7.8 billion individuals in the globe, and each one generates 2.5 quintillion bytes of data each day. Data pipelines turn raw information into data that is suitable for insights, applications, machine learning, and artificial intelligence (AI) systems. They maintain data flow to address issues, advise choices, and simplify decision-making for various data-driven companies.
The data pipeline tools market is expected to witness notable growth during the forecast period, owing to an increase in demand for real-time data analytics. Furthermore, the rise in demand for cloud data storage and the growing need for data protection facilities has driven the growth of the market. However, difficulties in the process and data corruption threats are the prime factors restraining the market growth. On the contrary, the adoption of machine learning (ML) and big data analytics tools and the rise in the application of data pipeline tools to advance sales & marketing use cases are expected to propel the data pipeline tools market growth during the forecast period.
The data pipeline tools market research is segmented into product type, deployment mode, application area, and region. Based on product type, the market is categorized into batch data pipeline, ELT data pipeline, ETL data pipeline, streaming data pipeline, and others. Based on deployment mode, the market is divided into on-premises and cloud-based. Based on the application area, the market is segmented into big data analytics, customer relationship management (CRM), real-time analytics, sales & marketing management, and others.
Data quality pipelines offer capabilities like regular standardization of all new client names. Real-time client address verification would be viewed as a component of a data quality pipeline during the approval of a credit application. The essential elements of master data management are data matching and merging (MDM). This pipeline collects and processes data from several sources, looks for duplicate records, and then combines the findings into a single golden record.
Due to the practical options and substantial customization provided by on-premises software deployment, many businesses increasingly embrace this type of on-premises model. The on-premises setup offers superior data protection while allowing businesses to comply with various regulatory standards. The on-premises implementation also enables large businesses to manage who has access to private information. Hence, the adoption of on-premises-based data pipeline systems is fuelled by the fact that the on-premises deployments provide targeted users, with enhanced control over how data security is established, monitored, and contained.
For business-critical applications that demand reporting and analytics, data pipeline tools can also enable streaming real-time application data from aging mainframe systems. Businesses may gain a competitive edge by using streaming data pipelines, which are especially helpful in ensuring data accessibility throughout the company. The aforementioned factors have propelled the increasing growth of the data pipeline tools market, during the forecast period.
The IT business is experiencing a complete upheaval because of integrated smart processes and technological innovations, which are fueling demand for effective data transforming, data segregation, and data transforming tools. Given that it is home to several of the top industry participants such as AWS Inc, Google Inc., IBM Corporation and Microsoft Corporation, the U.S. is crucial in determining the direction of the global data pipeline tools market. The rapid transfer of enormous data sets and the subsequent production of trustworthy information are the main factors driving the North American data pipeline tools market. Various commercial and industrial businesses are using data pipeline systems to simplify their operations and reduce data security, which is helping the local economy thrive.
Top Impacting Factors:
The data pipeline tools industry is expected to witness notable growth during the forecast period, owing to an increase in demand for real-time data analytics. Furthermore, the rise in demand for cloud data storage and the increase in the need for data protection facilities have driven the growth of the market. However, difficulties in the process and data corruption threats are the prime factors restraining the market growth. On the contrary, the adoption of machine learning (ML) and big data analytics tools and the rise in the application of data pipeline tools to advance sales & marketing use cases are expected to propel the data pipeline tools market growth during the forecast period.
The Growing Need for Data Protection Facilities
Strong security protocols are essential when planning a data pipeline. Automated extract, transform and load. ETL platforms remove much of the risk involved, as data is never directly exposed. Instead, the ETL platform queries the destinations via an Application Programming Interface (API), then securely transports the data to its destination. As there’s no manual interaction with the data while transferring the data, there is little risk. For instance, in November 2022, Amazon Web Services inc., shared the responsibility model that applies to data protection in AWS Data Pipeline. It is protecting the global infrastructure that runs all the AWS Cloud. This content includes the security configuration and management tasks for the AWS services. Such factors have helped the growth of data pipeline tools market.
Surge in Adoption of Machine Learning and Data Analytics Tools
Many key players have introduced different frameworks to enhance their pipeline services. For instance, in January 2022, Metaflow introduced a framework for real-life data pipeline tools and machine learning. It helps to build and manage real-life data science and ML projects and to address the needs of data scientists who work on demanding real-life data analytics and ML projects. As a result, there has been a surge in adoption in machine learning and data analytical tools which helps to grow data pipeline tools market.
Competition Analysis
Competitive analysis and profiles of the major data pipeline tools industry players, such as Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation (Cerner Corporation), Precisely Holdings, LLC (Clearlake Capital Group), SAP SE, Snowflake, Inc., Software AG and Tibco Software, Inc. (Vista Equity Partners) are provided in this report.
Key Benefits for Stakeholders
This study comprises an analytical depiction of the data pipeline tools market size along with the current trends and future estimations to depict the imminent investment pockets.
The overall data pipeline tools market analysis is determined to understand the profitable trends to gain a stronger foothold.
The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis of data pipeline tools market share.
The current data pipeline tools market forecast is quantitatively analyzed from 2021 to 2031 to benchmark financial competency.
Porter’s five forces analysis illustrates the potency of the buyers and suppliers in the smart display.
The report includes the market share of key vendors and data pipeline tools market trends.
Data Pipeline Tools Market Report Highlights
| Aspects | Details |
 Market Size By 2031 | USD 35.6 billion |
 Growth Rate | CAGR of 18.2% |
 Forecast period | 2021 - 2031 |
 Report Pages | 152 |
 By Product Type |
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 By Deployment Mode |
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 By Application Area |
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 By Region |
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 Key Market Players | software ag, Google LLC (Alphabet), Amazon Web Services, SAP SE, Snowflake, Inc., IBM Corporation, Microsoft Corporation, Precisely Holdings, LLC, Oracle Corporation, Tibco Software, Inc. (Vista Equity Partners) |
Analyst Review
The data pipeline involves transferring data from a source location to a specific destination, like a data warehouse. The data is then optimized and transformed to a state where it can be examined and used to generate business insights for various data-using companies. Since there are several chances for corruption to happen when information is being transmitted from one system to another, the data flow may become unstable. As a result, data pipelines are crucial as this help remove the majority of human processes, such as those performed while processing the data. Therefore, data pipeline tools provide an automatic flow of data from one stage to the next without any blockages.
Key players in the data pipeline tools market are Amazon Web Services, Inc. Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Precisely Holdings, LLC, SAP SE, Snowflake, Inc., Software AG, and Tibco Software, Inc. In addition, the rapid advancement of technologies such as the internet of things (IoT) and machine learning., in organizations around the globe, has significantly impacted the rise in the expansion rate of the data pipeline tools market. For instance, in November 2022, Snowflake inc., enhanced its services to provide auto-ingest, streams, and tasks, along with Snowflake Connector features to provide customers with continuous, automated, and cost-effective services to load data efficiently and without any manual effort. Such development has propelled the growth of the data pipeline tools market.
As big data analysis continues to grow, data management becomes an ever-increasing priority. Machine learning and artificial intelligence (AI) tools focus on the usage of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects.
Many key players introduced enhanced strategies to provide enhanced data pipeline tools and solutions to clients. For instance, in December 2022, Google services offered better and enhanced preview support for event-driven transfers -serverless, real-time replication from AWS S3 to cloud storage, and between cloud storage buckets. With this new capability, it is possible to accelerate the event-driven analytics pipeline, enable automatic replication across cloud storage buckets, create a backup copy of data in a different region or project, or perform live migration. Such collaborations have propelled the growth of the data pipeline tools market.
Rising demand for cloud data storage and an increase in demand for real-time data analytics are the upcoming trends in the Data Pipeline Tools Market in the world.
North America is the largest regional market for Data Pipeline Tools.
Big Data Analytics, Customer Relationship Management (CRM), Real-Time Analytics, and Sales & Marketing Management are the leading application areas of the Data Pipeline Tools Market.
The estimated industry size of the Data Pipeline Tools Market is $6,782.0 million.
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