Global Data Pipeline Tools Market is valued at approximately USD 7.1 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 24.5% over the forecast period 2022-2029. Data extraction from a data source, data transformations, and data movement into one or more data storage sites are all made easier with the aid of data pipeline technologies. Each step in the data pipeline process can be completed using a variety of tools, which cover every part of it. The market is being driven by factors including the expansion of AI and ML implementation and adoption, as well as the expansion of IoT use.
According to the data published by, the State of IoT Spring 2022, with more than 12.2 billion active endpoints, the IoT connections have grown by 8.0% across the world as compared to the year 2021. Furthermore, as per Statista, the number of IoT connected devices would reach 29.42 million by year 2030. Thus, the rising adoption of IoT connected devices is catering to the market growth. Implementing 5G, lowering data latency, increasing demand for tools transporting data from disparate sources to the cloud or warehouse, and the growth of cloud computing are other significant factors causing space to expand. However, over the projected period of 2022-2029, data downtime and a lack of experience among workforces may restrain market expansion.
The key regions considered for the Global Data Pipeline Tools Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to high investments in AI technology and other advanced technologies. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rise in number of initiatives taken by various end-use industries for reducing the latency in this region.
Major market players included in this report are:
- IBM
- Hevo Data Inc.
- SnapLogic Inc.
- K2VIEW
- Amazon Web Services, Inc.
- Actian Corporation
- Google
- Software AG
- Microsoft
- Oracle
Recent Developments in the Market:
- In June 2022, Snap Logic introduced Snap Logic Accelerator for Amazon Health Lake. It will make it possible for healthcare organisations to learn new information about healthcare. Additionally, it is anticipated to assist healthcare institutions in automating procedures and enhance the general patient experience.
- In May 2022, SoftServe entered into a partnership with Google Cloud to build the services, Manufacturing Data Engine, which is a comprehensive solution that analyses, contextualises, and manages industrial data on the premier data platform in the market, Google Cloud. A platform called Manufacturing Connect was developed at the factory edge in association with Litmus Automation. It quickly attaches to any industrial or manufacturing equipment and sends data from there to Google Cloud.
Global Data Pipeline Tools Market Report Scope:
- Historical Data: 2019-2020-2021
- Base Year for Estimation: 2021
- Forecast period: 2022-2029
- Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered: Component, Type, Deployment, Enterprise Size, Application, End-use, Region
- Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
- Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Type offerings of key players. The detailed segments and sub-segment of the market are explained below.
By Component:
By Type:
- ELT Data Pipeline
- Real-Time Data Pipeline
- Batch Data Pipeline By Deployment: On-premise Cloud
By Enterprise Size:
- Large Enterprises
- Small and Medium Enterprise
By Application:
- Real Time Analytics
- Predictive Maintenance
- Sales and Marketing Data
- Customer Relationship Management
- Data Traffic Management
- Others
By End-Use:
- BFSI
- Retail and E-commerce
- IT and Telecom
- Healthcare
- Transportation and Logistics
- Others
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- RoLA
- Rest of the World
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
- 1.2.1. Data Pipeline Tools Market, by Region, 2019-2029 (USD Billion)
- 1.2.2. Data Pipeline Tools Market, by Component, 2019-2029 (USD Billion)
- 1.2.3. Data Pipeline Tools Market, by Type, 2019-2029 (USD Billion)
- 1.2.4. Data Pipeline Tools Market, by Deployment, 2019-2029 (USD Billion)
- 1.2.5. Data Pipeline Tools Market, by Enterprise Size, 2019-2029 (USD Billion)
- 1.2.6. Data Pipeline Tools Market, by Application, 2019-2029 (USD Billion)
- 1.2.7. Data Pipeline Tools Market, by End-Use, 2019-2029 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Data Pipeline Tools Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Scope of the Study
- 2.2.2. Industry Evolution
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Data Pipeline Tools Market Dynamics
- 3.1. Data Pipeline Tools Market Impact Analysis (2019-2029)
- 3.1.1. Market Drivers
- 3.1.1.1. Growth in the implementation and adoption of AI and ML
- 3.1.1.2. Growth in adoption of Internet of things
- 3.1.2. Market Challenges
- 3.1.2.1. Lack of expertise workforce
- 3.1.2.2. Data downtime
- 3.1.3. Market Opportunities
- 3.1.3.1. Implementation of 5G and reducing data latency
Chapter 4. Global Data Pipeline Tools Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. Industry Experts Prospective
- 4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
- 5.1. Assessment of the overall impact of COVID-19 on the industry
- 5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Data Pipeline Tools Market, by Component
- 6.1. Market Snapshot
- 6.2. Global Data Pipeline Tools Market by Component, Performance - Potential Analysis
- 6.3. Global Data Pipeline Tools Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
- 6.4. Data Pipeline Tools Market, Sub Segment Analysis
- 6.4.1. Tools
- 6.4.2. Services
Chapter 7. Global Data Pipeline Tools Market, by Type
- 7.1. Market Snapshot
- 7.2. Global Data Pipeline Tools Market by Type, Performance - Potential Analysis
- 7.3. Global Data Pipeline Tools Market Estimates & Forecasts by Type 2019-2029 (USD Billion)
- 7.4. Data Pipeline Tools Market, Sub Segment Analysis
- 7.4.1. ELT Data Pipeline
- 7.4.2. Real-Time Data Pipeline
- 7.4.3. Batch Data Pipeline
Chapter 8. Global Data Pipeline Tools Market, by Deployment
- 8.1. Market Snapshot
- 8.2. Global Data Pipeline Tools Market by Deployment, Performance - Potential Analysis
- 8.3. Global Data Pipeline Tools Market Estimates & Forecasts by Deployment 2019-2029 (USD Billion)
- 8.4. Data Pipeline Tools Market, Sub Segment Analysis
- 8.4.1. On-Premise
- 8.4.2. Cloud
Chapter 9. Global Data Pipeline Tools Market, by Enterprise Size
- 9.1. Market Snapshot
- 9.2. Global Data Pipeline Tools Market by Enterprise Size, Performance - Potential Analysis
- 9.3. Global Data Pipeline Tools Market Estimates & Forecasts by Enterprise Size 2019-2029 (USD Billion)
- 9.4. Data Pipeline Tools Market, Sub Segment Analysis
- 9.4.1. Large Enterprise
- 9.4.2. Small and Medium Enterprise
Chapter 10. Global Data Pipeline Tools Market, by Application
- 10.1. Market Snapshot
- 10.2. Global Data Pipeline Tools Market by Application, Performance - Potential Analysis
- 10.3. Global Data Pipeline Tools Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
- 10.4. Data Pipeline Tools Market, Sub Segment Analysis
- 10.4.1. Real Time Analytics
- 10.4.2. Predictive Maintenance
- 10.4.3. Sales and Marketing Data
- 10.4.4. Customer Relationship Management
- 10.4.5. Data Traffic Management
- 10.4.6. Others
Chapter 11. Global Data Pipeline Tools Market, by End-Use
- 11.1. Market Snapshot
- 11.2. Global Data Pipeline Tools Market by End-Use, Performance - Potential Analysis
- 11.3. Global Data Pipeline Tools Market Estimates & Forecasts by End-Use 2019-2029 (USD Billion)
- 11.4. Data Pipeline Tools Market, Sub Segment Analysis
- 11.4.1. BFSI
- 11.4.2. Retail and E-commerce
- 11.4.3. IT and Telecom
- 11.4.4. Healthcare
- 11.4.5. Transportation and Logistics
- 11.4.6. Others
Chapter 12. Global Data Pipeline Tools Market, Regional Analysis
- 12.1. Data Pipeline Tools Market, Regional Market Snapshot
- 12.2. North America Data Pipeline Tools Market
- 12.2.1. U.S. Data Pipeline Tools Market
- 12.2.1.1. Component breakdown estimates & forecasts, 2019-2029
- 12.2.1.2. Type breakdown estimates & forecasts, 2019-2029
- 12.2.1.3. Deployment breakdown estimates & forecasts, 2019-2029
- 12.2.1.4. Enterprise breakdown estimates & forecasts, 2019-2029
- 12.2.1.5. Application breakdown estimates & forecasts, 2019-2029
- 12.2.1.6. End-Use breakdown estimates & forecasts, 2019-2029
- 12.2.2. Canada Data Pipeline Tools Market
- 12.3. Europe Data Pipeline Tools Market Snapshot
- 12.3.1. U.K. Data Pipeline Tools Market
- 12.3.2. Germany Data Pipeline Tools Market
- 12.3.3. France Data Pipeline Tools Market
- 12.3.4. Spain Data Pipeline Tools Market
- 12.3.5. Italy Data Pipeline Tools Market
- 12.3.6. Rest of Europe Data Pipeline Tools Market
- 12.4. Asia-Pacific Data Pipeline Tools Market Snapshot
- 12.4.1. China Data Pipeline Tools Market
- 12.4.2. India Data Pipeline Tools Market
- 12.4.3. Japan Data Pipeline Tools Market
- 12.4.4. Australia Data Pipeline Tools Market
- 12.4.5. South Korea Data Pipeline Tools Market
- 12.4.6. Rest of Asia Pacific Data Pipeline Tools Market
- 12.5. Latin America Data Pipeline Tools Market Snapshot
- 12.5.1. Brazil Data Pipeline Tools Market
- 12.5.2. Mexico Data Pipeline Tools Market
- 12.5.3. Rest of Latin America Data Pipeline Tools Market
- 12.6. Rest of The World Data Pipeline Tools Market
Chapter 13. Competitive Intelligence
- 13.1. Top Market Strategies
- 13.2. Company Profiles
- 13.2.1. IBM
- 13.2.1.1. Key Information
- 13.2.1.2. Overview
- 13.2.1.3. Financial (Subject to Data Availability)
- 13.2.1.4. Product Summary
- 13.2.1.5. Recent Developments
- 13.2.2. Hevo Data Inc.
- 13.2.3. SnapLogic Inc.
- 13.2.4. K2VIEW
- 13.2.5. Amazon Web Services, Inc.
- 13.2.6. Actian Corporation
- 13.2.7. Google
- 13.2.8. Software AG
- 13.2.9. Microsoft
- 13.2.10. Oracle
Chapter 14. Research Process
- 14.1. Research Process
- 14.1.1. Data Mining
- 14.1.2. Analysis
- 14.1.3. Market Estimation
- 14.1.4. Validation
- 14.1.5. Publishing
- 14.2. Research Attributes
- 14.3. Research Assumption