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Dublin, Jan. 26, 2023 /PRNewswire/ — The “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” report has been added to ResearchAndMarkets.com’s offering.
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 ETL Data Pipeline segment to have the highest CAGR during the forecast period
By type, the data pipeline tools had been segmented into ETL Data Pipeline, ELT Data Pipeline, Streaming Data Pipeline, Batch Data Pipeline, and Change Data Capture Pipeline. Among all the ETL Data Pipeline segment to have the highest CAGR during the forecast period.
The collection of procedures used to transfer data from one or more sources into a database, such as a data warehouse, is known as an ETL pipeline. The three interconnected data transformation procedures known as extract, transform, and load (ETL). Data can be loaded and then used for monitoring, research, and the creation of useful business insights. Source data from disparate systems needs to be migrated, aggregated, and adjusted to match with the features and functions of the target database to deliver valuable observations.
Businesses can streamline their data analysis by switching to cloud-based software services and enhanced ETL pipelines. Businesses that currently use batch processing can adopt continuous processing techniques without altering their existing workflows. The deployment can begin with specific types of data. ETL pipelines significantly help firms achieve an edge over its competitors by giving decision-makers more authority.
The deployment & integration solution is registered to grow at the highest CAGR during the forecast period
By services, the data pipeline tools had been segmented into Consulting, deployment & implementation, support & maintenance. Integration and deployment services give businesses technical know-how and help them choose the best software architecture in accordance with their operational needs.
Therefore, the proper number of connectors and back-end integration skills are needed for system integration and deployment services. These services are becoming increasingly popular among end users all over the world since they make sure that systems interact well with one another to enhance the efficiency of the whole production and supply chain process.
Among applications, Real-time Analytics application is anticipated to register the largest market size during the forecast period
In current day and age, organizations are driven by a need to make data-driven decisions. Streaming data pipeline tools enable handling millions of events at scale and offer capabilities of collecting, analyzing, and storing large volume of information for enterprises.
Such tools are essentially critical for applying real time analytics and reporting. These tools can also enable streaming real time application data from legacy mainframe systems for business-critical applications that necessitate reporting and analytics. Streaming data pipelines offer businesses in achieving a competitive advantage and are particularly useful in assuring data accessibility across the enterprise.
North America to account for the largest market size during the forecast period
North America is expected to have the largest market share in the data pipeline tools market. North America is one of most captivate regions in data pipelining tools market. The US is the largest market for data pipelining tools and solutions in the North American region.
The increased simplification to unify large data volumes of huge enterprises around the country over a single cloud platform drives the adoption of data pipelining tools and services in the US. With the help of end-to-end data pipelines, it is easier to keep an eye on the data transformation at every single stage while it travels from the source till the visual analytics that provide actionable insights.
This provides added security in the data integration and pipelining process. The companies based in the US are rapidly providing end-to-end data pipelines to identify and respond to potential cyberattacks and minimizing security breaches compared to traditional data integration methods. For instance, Snowflake, a US-based technology company, provides Data Cloud for cybersecurity.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Market Opportunities for Data Pipeline Tools Market Players
4.2 Market, by Vertical
4.3 Market, by Region
4.4 Market: Top Three Business Applications and Verticals
5 Market Overview and Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Need for Agility to Meet Peaks in Demand
5.2.1.2 Emergence of Cloud Computing Technologies
5.2.2 Restraints
5.2.2.1 Lack of Expertise Among Workforce
5.2.3 Opportunities
5.2.3.1 Overcoming the Lacunae of Traditional Data Management Tools
5.2.3.2 Necessity to Reduce Data Latency
5.2.4 Challenges
5.2.4.1 Updating Data Pipeline Using Etl Impacts Data Quality
5.2.4.2 Duplicate Data
5.2.4.3 Data Downtime
5.2.4.4 Reluctance to Adopt Advanced Tools and Technologies
5.3 Data Pipeline Tools: Evolution
5.4 Ecosystem
5.5 Case Study Analysis
5.5.1 Banking, Financial Services, and Insurance
5.5.1.1 Combined 23 Disparate Erp Systems into a Single Sap Erp Application
5.5.1.2 Big Data Platform Implementation on Amazon Web Services for Norway’s Largest Bank
5.5.2 Transportation & Logistics
5.5.2.1 Convoy Builds a Continuous Data Pipeline with the Data Cloud
5.5.3 Retail & Consumer Goods
5.5.4 Healthcare & Life Sciences
5.5.4.1 Cdphp Modernized Infrastructure and Improved Ability to Extract Valuable Medical Data on Aws
5.5.5 Media & Entertainment
5.5.5.1 Gumgum Utilized Aws Data Pipeline to Handle High Data Volume Growth
5.6 Supply Chain Analysis
5.7 Porter’s Five Forces
5.7.1 Threat of New Entrants
5.7.2 Threat of Substitutes
5.7.3 Bargaining Power of Suppliers
5.7.4 Bargaining Power of Buyers
5.7.5 Intensity of Competitive Rivalry
5.8 Pricing Analysis
5.9 Patent Analysis
5.9.1 Methodology
5.9.2 Document Type
5.9.3 Innovation and Patent Applications
5.9.3.1 Top Applicants
5.10 Technology Analysis
5.10.1 Artificial Intelligence
5.10.2 Machine Learning
5.10.3 IoT
5.10.4 Cloud Computing
5.10.5 Big Data
5.11 Key Conferences & Events
5.12 Tariff and Regulatory Landscape
5.13 Key Stakeholders & Buying Criteria
6 Data Pipeline Tools Market, by Component
6.1 Introduction
6.1.1 Component: Market Drivers
6.2 Tools
6.2.1 Greater Need to Access Data from Data Warehouse
6.3 Services
6.3.1 Growing Product Acceptance to Drive Adoption of Data Pipeline Tools
6.3.1.1 Consulting
6.3.1.1.1 Scope to Enable Companies to Lower Risks and Focus on Business
6.3.1.2 Support & Maintenance
6.3.1.2.1 Increase in Demand Due to Shifting Economic Situations
6.3.1.3 Deployment & Integration
6.3.1.3.1 Need to Ensure Minimum Risks Among Companies to Drive Demand
7 Data Pipeline Tools Market, by Organization Size
7.1 Introduction
7.1.1 Organization Size: Market Drivers
7.2 Large Enterprises
7.2.1 Unstructured Data: Major Concern Among Large Enterprises
7.3 Small- & Medium-Sized Enterprises
7.3.1 Rise in Need to Access Data in Real-Time for Better Decisions
8 Data Pipeline Tools Market, by Deployment Mode
8.1 Introduction
8.1.1 Deployment Mode: Market Drivers
8.2 On-Premises
8.2.1 Data Pipeline Connects Databases to Centralized Interface to Ease Business
8.3 Cloud
8.3.1 Flexibility and Scalability to Boost Adoption of Cloud-Based Data Pipeline Tools
9 Data Pipeline Tools Market, by Type
9.1 Introduction
9.1.1 Type: Market Drivers
9.2 Elt Data Pipeline
9.2.1 Usage of Cloud to Drive Shift from Etl to Elt
9.3 Etl Data Pipeline
9.3.1 Centralizing and Standardizing Data to Enable Easy Access to Experts and Decision-Makers
9.4 Streaming Data Pipeline
9.4.1 Real-Time Data More Crucial in Streaming Data Pipeline
9.5 Batch Data Pipeline
9.5.1 Flexibility and Scalability to Boost Adoption of Cloud-Based Data Pipeline Tools Software
9.6 Change Data Capture Pipeline (Cdc)
9.6.1 Change Data Capture Essential to Prevent Loss and Destruction of Data
10 Data Pipeline Tools Market, by Application
10.1 Introduction
10.1.1 Application: Market Drivers
10.2 Real-Time Analytics & Predictive Maintenance
10.2.1 Eliminate Data Pipeline Downtime and Provide Real-Time Data Analysis
10.3 Sales & Marketing Data
10.3.1 Need to Reduce Data Gathering Time from Various Sources and Store Data at Single Location
10.4 Customer 360 & Customer Relationship Management
10.4.1 Need to Analyze Customer Behavior and Reduce Customer Churn
10.5 Customer Experience Management
10.5.1 Unified Customer Views Across Customer Ecosystem to Enhance Customer Experience
10.6 Data Migration
10.6.1 Demand to Simplify Data Migration Process by Creating Batch and Streaming Data Pipeline
10.7 Other Applications
11 Data Pipeline Tools Market, by Vertical
11.1 Introduction
11.1.1 Vertical: Market Drivers
11.2 Banking, Financial Services, and Insurance
11.2.1 Need to Enhance Quality of Services and Make Real-Time Smart Decisions to Drive Growth
11.3 Retail & Ecommerce
11.3.1 Continuous Data Pipeline Flow to Help Analyze Consumer Behavior in Real-Time
11.4 Government & Defense
11.4.1 Effective Transformation of Data Without Losing Packets to Help in Faster Decision-Making
11.5 Healthcare & Life Sciences
11.5.1 Pressure from Insurers and Impact of Physicians to Drive Adoption of Robust Data Pipelines
11.6 It & Ites
11.6.1 Rising Complexity and Fast Innovation to Drive Need for Streamlined Data Pipelines
11.7 Energy & Utilities
11.7.1 Advanced Data Pipeline Tools to Help Build Accountable, Transparent, Fair, and Secure Systems
11.8 Telecommunication
11.8.1 Deployment of Data Pipeline Tools to Reduce Network Anomalies by Maintaining Continuous Data Flow
11.9 Manufacturing
11.9.1 Rise in Use of Robust Data Pipeline Tools to Predict Machine Downtime and Maintenance
11.10 Transportation & Logistics
11.10.1 Growing Need for Seamless Integrated Data Pipeline Across Multi-Model Transportation Network
11.11 Other Verticals
12 Data Pipeline Tools Market, by Region
13 Competitive Landscape
13.1 Overview
13.2 Strategies Adopted by Key Players
13.3 Revenue Analysis
13.4 Market Share Analysis
13.5 Company Evaluation Quadrant
13.5.1 Stars
13.5.2 Emerging Leaders
13.5.3 Pervasive Players
13.5.4 Participants
13.6 Startup/Sme Evaluation Matrix
13.6.1 Progressive Companies
13.6.2 Responsive Companies
13.6.3 Dynamic Companies
13.6.4 Starting Blocks
13.7 Competitive Benchmarking
13.8 Competitive Scenario
13.8.1 Product Launches
13.8.2 Deals
13.8.3 Others
14 Company Profiles
14.1 Key Players
14.1.1 Google
14.1.2 Ibm
14.1.3 Microsoft
14.1.4 Aws
14.1.5 Sap
14.1.6 Oracle
14.1.7 Alteryx
14.1.8 Informatica
14.1.9 Actian
14.1.10 Talend
14.1.11 Denodo Technologies
14.1.12 Snowflake
14.1.13 Software Ag
14.1.14 Hitachi Vantara
14.1.15 Qlik
14.1.16 Tibco
14.1.17 Hevo Data
14.1.18 Adeptia
14.1.19 Snaplogic
14.1.20 K2View
14.1.21 Precisely
14.1.22 Tapclicks
14.1.23 Rivery.Io
14.2 Startup/Sme Players
14.2.1 Gathr
14.2.2 Confluent
14.2.3 Estuary Flow
14.2.4 Blendo
14.2.5 Integrate.Io
14.2.6 Fivetran
15 Adjacent and Related Markets
16 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/vnj8ry-pipeline?w=5
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