The data pipeline tools market was valued at $6,782.0 million in 2021 and is projected to reach $35,609.6 million by 2031, registering a CAGR of 18.16% from 2022 to 2031. A data pipeline tool controls how data moves from a starting point to a specified endpoint. The extraction, validation, and loading of the data for analysis are all automated. Effective data pipelines are essential for businesses that are data-driven because they help minimize mistakes and reduce latency.
The market for data pipeline tools is anticipated to expand significantly throughout the forecast period with the rise in the need for real-time data analytics. The market is experiencing growth owing to an increase in the requirement for data protection infrastructure and a rise in demand for cloud data storage. Hurdles in the process and the potential for data manipulation hinder the growth of the market. On the other hand, a rise in the usage of data pipeline tools to advance sales and marketing use cases, along with the use of machine learning (ML) and big data analytics tools, is anticipated to drive the growth of the data pipeline tools market during the forecast period.
The data pipeline tools market research is segmented into product type, deployment mode, application area, and region. By product type, the market is categorized into batch data pipeline, ELT data pipeline, ETL data pipeline, streaming data pipeline, and others. By deployment mode, the market is divided into on-premises and cloud-based. By application area, the market is segmented into big data analytics, customer relationship management (CRM), real-time analytics, sales & marketing management, and others.
Region-wise, the data pipeline tools market trends are analyzed across North America (U.S. and Canada), Europe (Germany, Italy, France, Spain, UK, and the Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and the rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). The Asia Pacific region, notably China, India & Japan, is predicted to hold a sizable portion of the market among the regional countries. The market for data pipeline tools in North America, particularly in the United States, has emerged as one of the major-growing markets.
The market for data pipeline tools has several local, regional, and international firms that are active and well-represented. Rapid technical development has opened a lot of commercial prospects. Players in the industry are always concentrating on creating cutting-edge technology solutions for their clients. Key players operating in the market are 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).
The market for data pipeline tools is anticipated to expand significantly throughout the forecast period with the rise in the need for real-time data analytics. The market is experiencing growth owing to an increase in the requirement for data protection infrastructure and a rise in demand for cloud data storage. Hurdles in the process and the potential for data manipulation hinder the growth of the market. On the other hand, a rise in the usage of data pipeline tools to advance sales and marketing use cases, along with the use of machine learning (ML) and big data analytics tools, is anticipated to drive the growth of the data pipeline tools market during the forecast period.
The data pipeline tools market research is segmented into product type, deployment mode, application area, and region. By product type, the market is categorized into batch data pipeline, ELT data pipeline, ETL data pipeline, streaming data pipeline, and others. By deployment mode, the market is divided into on-premises and cloud-based. By application area, the market is segmented into big data analytics, customer relationship management (CRM), real-time analytics, sales & marketing management, and others.
Region-wise, the data pipeline tools market trends are analyzed across North America (U.S. and Canada), Europe (Germany, Italy, France, Spain, UK, and the Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and the rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). The Asia Pacific region, notably China, India & Japan, is predicted to hold a sizable portion of the market among the regional countries. The market for data pipeline tools in North America, particularly in the United States, has emerged as one of the major-growing markets.
The market for data pipeline tools has several local, regional, and international firms that are active and well-represented. Rapid technical development has opened a lot of commercial prospects. Players in the industry are always concentrating on creating cutting-edge technology solutions for their clients. Key players operating in the market are 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).
Key Benefits For Stakeholders
- Porter's Five Forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make profit-oriented business decisions and strengthen their supplier-buyer network.
Key Market Segments
By Product Type
- Batch Data Pipeline
- ELT Data Pipeline
- ETL Data Pipeline
- Streaming Data Pipeline
By Deployment Mode
- On Premises
- Cloud Based
By Application Area
- Big Data Analytics
- Customer Relationship Management
- Real Time Analytics
- Sales and Marketing Management
By Region
- North America
- U.S.
- Canada
- Europe
- Germany
- Italy
- France
- Spain
- UK
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- Amazon Web Services
- Snowflake, Inc.
- software ag
- Tibco Software, Inc. (Vista Equity Partners)
- Oracle Corporation
- Google LLC (Alphabet)
- IBM Corporation
- Microsoft Corporation
- Precisely Holdings, LLC
- SAP SE
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Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: DATA PIPELINE TOOLS MARKET, BY PRODUCT TYPE
CHAPTER 5: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE
CHAPTER 6: DATA PIPELINE TOOLS MARKET, BY APPLICATION AREA
CHAPTER 7: DATA PIPELINE TOOLS MARKET, BY REGION
CHAPTER 8: COMPETITIVE LANDSCAPE
CHAPTER 9: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report titled, 'Data Pipeline Tools Market,' the data pipeline tools market was valued at $6.8 billion in 2021, and is estimated to reach $35.6 billion by 2031, growing at a CAGR of 18.2% from 2022 to 2031.Data pipeline tools are a category of software that allow large volumes of data to be moved from several disparate data sources to a central destination, often a data warehouse. Data is normalized or transformed so that it’s in a consistent format and schema in the data warehouse and can be used for analysis and reports.
Key factors driving the growth of the data pipeline tools market include in Increase in demand for cloud data storage, Increase in demand for real-time data analytics, and Surge in need of 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 Application Programming Interface (API), then securely transports the data to its destination. There is little risk as there is no manual interaction with the data while transferring the data. For instance, in November 2022, Amazon Web Services inc., shared responsibility model that applies to data protection in AWS Data Pipeline. It is protecting the global infrastructure that runs all of the AWS Cloud. This content includes the security configuration and management tasks for the AWS services. Such factors have helped the growth of the data pipeline tools market.
The market also offers growth opportunities to the key players in the market. Machine learning is a subfield of computer science that deals with tasks such as pattern recognition, computer vision, speech recognition, text analytics and has a strong link with statistics and mathematical optimization. Machine learning constitutes model-building automation for data analysis. Data pipeline tools in machine learning are an infrastructural path for the entire ML workflow. Pipelines help automate the ML workflow, from data gathering, In statistics, exploratory data analysis (EDA), data augmentation, to model building and deployment. After the deployment, it also supports reproduction, tracking, and monitoring. 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 boost the growth of the data pipeline tools market.
The data pipeline tools is segmented into product type, deployment mode, and application area. On the basis of product type, the market is categorized into batch data pipeline, ELT data pipeline, ETL data pipeline, streaming data pipeline and others. On the basis of deployment mode, it is categorized into on-premises and cloud-based. On the basis of application area, it is bifurcated into big data Analytics, real-time analytics, sales & marketing management and others. Region wise, it is analyzed across North America (the U.S., Canada), Europe (the UK, Germany, France, Italy, Spain, and rest of Europe), Asia-Pacific (China, India, Japan, Australia, South Korea and rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).
The key players profiled in the study include Amazon Web Services, Inc. Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Precisely Holdings, LLC, SAP SE, Snowflake, Inc., Software AG, Tibco Software. The players in the market have been actively engaged in the adoption various Strategies such as acquisition, product launch and expansion to remain competitive and gain advantage over the competitors in the market. For instance, in June 2021, Precisely Holdings LLC, acquired Winshuttle. The Winshuttle product portfolio of SAP automation (Winshuttle Studio & Evolve) capabilities are also a part of the Precisely Automate product family. Master Data Management solutions are also part of the portfolio, as Precisely EnterWorks which in turn will help to improve data pipeline tool services.
Key Market Insights
By product type, the ELT Data Pipeline segment was the highest revenue contributor to the market, and is estimated to reach $10,845.20 million by 2031, with a CAGR of 17.88%. However, the ceramic ETL Data Pipeline segment is estimated to be the fastest growing segment with the CAGR of 19.22% during the forecast period.By deployment mode, the cloud-based segment was the highest revenue contributor to the market, with $5,234.10 million in 2021, and is estimated to reach $28,685.60 million by 2031, with a CAGR of 18.67%.
Based on application area, the Real Time Analytics segment was the highest revenue contributor to the market, with $2,722.80 million in 2021, and is estimated to reach $17,763.30 million by 2031, with a CAGR of 20.73%.
Based on region, North America was the highest revenue contributor, accounting for $2,649.70 million in 2021, and is estimated to reach $12,880.00 million by 2031, with a CAGR of 17.25%.
Companies Mentioned
- Amazon Web Services
- Snowflake, Inc.
- software ag
- Tibco Software, Inc. (Vista Equity Partners)
- Oracle Corporation
- Google LLC (Alphabet)
- IBM Corporation
- Microsoft Corporation
- Precisely Holdings, LLC
- SAP SE
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 152 |
| Published | January 2023 |
| Forecast Period | 2021 - 2031 |
| Estimated Market Value ( USD | $ 6782 million |
| Forecasted Market Value ( USD | $ 35609.6 million |
| Compound Annual Growth Rate | 18.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
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