Data Pipeline Tools Market Analysis by Size, Rising Demand, Business Growth Factors and Revenue Strategies 2027

March 10 02:12 2023
Data Pipeline Tools Market Analysis by Size, Rising Demand, Business Growth Factors and Revenue Strategies 2027
Google (US), IBM (US), AWS (US), Oracle (US), Microsoft (US), SAP SE (Germany), Actian (US), Software AG (Germany), Denodo Technologies (US), Snowflake (US), Adeptia (US), SnapLogic (US), K2View (US), Precisely (US), Tibco (US), TapClicks (US), Talend (US), (US), Alteryx (US), Informatica (US), Qlik (US), Hitachi Vantara (US), and Fivetran (US).
Data Pipeline Tools Market by Component (Tools and Services), Tool Type (ETL Data Pipeline, ELT Data Pipeline, Streaming Data Pipeline, and Batch Data Pipeline), Application, Deployment Mode, Organization Size, Vertical & Region – Global Forecast to 2027

The data pipeline tools market is projected to grow from USD 6.9 billion in 2022 to USD 17.6 billion by 2027, at a CAGR of 20.3% during the forecast period. The complexity of combining information from several basic decision-making sources is sometimes seen as a key issue in the building of data-driven systems. Large-scale data handling necessitates comprehensive data-driven import and treatment methodologies in real-time, even though data is the foundation for efficient and accurate analysis. Data pipelines, which are defined as a set of steps that transform raw data into useful data, assist various Service Providers in this by assisting in the compilation and analysis of big data sets.

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Cloud segment to account for higher CAGR during the forecast period

The Data pipeline tools market is bifurcated on the basis of cloud and on-premises. The market size of the cloud deployment mode is estimated to be larger and projected to have a higher CAGR during the forecast period. Modern data pipelines can assist the organization in numerous ways, including by providing insights and data more accessible, hastening decision-making, and allowing for flexibility and flexibility during periods of high demand. In comparison to conventional methods, modern, cloud-based data pipelines can take advantage of rapid adaptability. It is a strong engine that feeds data via multiple filters, apps, and APIs, landing it at its end destination in a useful state as an outcome. It can autonomously scale computation and storage capacity up or down.

SMEs segment to account for higher CAGR during the forecast period

The Data pipeline tools market is bifurcated on the basis of large enterprises and SMEs. The CAGR of the SMEs is estimated to be highest during the forecast period. At SMEs, creating data pipelines is an essential part. Companies must be able to gather data points from millions of users and analyze the outcomes in close to real-time to create datasets. Data pipeline tools helps manage the data and automates key business processes to get real-time data insights. Data pipeline tools can be extremely useful to elevate the customer data of SMEs to achieve advanced reporting and metrics, reduced costs with streamlined operations, increased operational efficiency, accurate forecast sales trends, and enhanced data security.

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Some of the key players operating in the Data pipeline tools market include Google (US), IBM (US), AWS (US), Oracle (US), Microsoft (US), SAP SE (Germany), Actian (US), Software AG (Germany), Denodo Technologies (US), Snowflake (US), Tibco (US), Adeptia (US), SnapLogic (US), K2View (US), Precisely (US), TapClicks (US), Talend (US), (US), Alteryx (US), Informatica (US), Qlik (US), Hitachi Vantara (US), Hevodata (US), Gathr (US), Confluent (US), Estuary Flow (US), Blendo (US), (US), and Fivetran (US). These Data pipeline tools vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global data pipeline tools market.

Oracle is a global technology leader in providing integrated cloud applications and cloud infrastructure to a various enterprises enabling them to be more efficient in accessing their data. The company offers a wide range of services including software-as-a-service, platform-as-a-service, and infrastructure-as-a-service. Oracle is the first organization worldwide to provide its self-governed database to help businesses manage and secure critical data. The Oracle Cloud Infrastructure (OCI) platform empowers enterprises by offering seamless, secure, and automated workload migration across multiple clouds and on-premises boosting overall enterprise performance. Oracle Cloud applications is a complete enterprise cloud suite with modernized applications providing streamlined business process. Millions of enterprises of all sizes and domains are keen to harness Oracle tools and achieve sustainable business growth.

Software AG is a global provider of business process management and data management solutions that helps simplify the connected world. Software AG provides a seamlessly integrated digitalized business ecosystem across enterprises. It also offers a digital infrastructure that empowers innovative technologies such as application integration, devices, data, and cloud that helps unify business development processes. The company supports more than 10,000 enterprises worldwide to become truly connected enterprise. Software AG offers a comprehensive set of digital platforms including IoT & analytics, integration and API management, and business transformation process.

Snowflake is a leading data cloud provider that helps a wide network of enterprises globally to mobilize data with constantly accelerate and scale data concurrency and performance with near-zero administration. The company focuses on various domains such as data warehouse, cloud analytics, data lake, data engineering, etc. The Snowflake cloud platform enables enterprises to unify data stacks stored in data warehouse onto a single data cloud. This makes easy for end users to securely access data from single cloud and deliver real-time, actionable data insights across multiple public clouds. This helps fast and cost-effective management of varied analytical workloads such as collaboration, cybersecurity, data science, data warehouse, machine learning, etc. as compared to traditional cloud solutions providing a streamlined user experience.

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