+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

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

  • PDF Icon

    Report

  • 278 Pages
  • October 2022
  • Region: Global
  • Markets and Markets
  • ID: 5671348
Description Jump to:

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. A data pipeline is a group of operations, instruments, and methods used to process raw data. Pipelines, which facilitate the transportation of data from its origin to its target for storage and analysis are made up of several interconnected processes connected in series. Data is ingested and then processed via each of these processes, with the result from one step serving as the input for the next. Modern pipelines are constructed using many different concepts and technologies that integrate and converse with one another. To cut down on the time, effort, and expense involved in creating links across the different components in the pipeline, tools with built-in integration is used. The market for data pipeline tools has seen great development because of the integration of these tools with other technologies like big data, IoT, and more.

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.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the data pipeline tools market. 

  • By Company: Tier I: 62%, Tier II: 23%, and Tier III: 15%
  • By Designation: C-Level Executives: 38%, D-Level Executives: 30%, and Others: 32%
  • By Region: APAC: 35%, Europe: 15%, North America: 40%, MEA: 5%, Latin America: 5%

The report includes the study of key players offering data pipeline tools and services. It profiles major vendors in the global data pipeline tools market. The major vendors in the global 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), Rivery.io (US), Alteryx (US), Informatica (US), Qlik (US), Hitachi Vantara (US), Hevodata (US), Gathr (US), Confluent (US), Estuary Flow (US), Blendo (US), Integrate.io (US), and Fivetran (US).

Research Coverage

The market study covers the data pipeline tools market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, deployment mode, organization size, application, type, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report 

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall data pipeline tools market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

1 Introduction
1.1 Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
Table 1 USD Exchange Rates, 2019-2021
1.5 Stakeholders

2 Research Methodology
2.1 Research Data
Figure 1 Data Pipeline Tools: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
Table 2 Primary Interviews
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
Figure 2 Data Triangulation
2.3 Market Size Estimation
Figure 3 Data Pipeline Tools: Top-Down and Bottom-Up Approaches
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
Figure 4 Market Size Estimation Methodology Approach 1 (Supply-Side): Revenue from Solutions/Services of Data Pipeline Tools
Figure 5 Market Size Estimation Methodology Approach 2, Bottom-Up (Supply-Side): Collective Revenue from All Data Pipeline Tools/Services
Figure 6 Market Size Estimation Methodology Approach 3, Bottom-Up (Supply-Side): Collective Revenue from All Solutions/Services of Data Pipeline Tools
Figure 7 Market Size Estimation Methodology Approach 4, Bottom-Up (Demand-Side): Share of Data Pipeline Tools Through Overall Spending
2.4 Market Forecast
Table 3 Factor Analysis
2.5 Company Evaluation Matrix Methodology
Figure 8 Company Evaluation Matrix: Criteria Weightage
2.6 Startup/Sme Evaluation Matrix Methodology
Figure 9 Startup/Sme Evaluation Matrix: Criteria Weightage
2.7 Assumptions for the Study
2.8 Limitations

3 Executive Summary
Table 4 Data Pipeline Tools Market Size and Growth Rate, 2016-2021 (USD Million, Y-O-Y)
Table 5 Market Size and Growth Rate, 2022-2027 (USD Million, Y-O-Y)
Figure 10 Tools to Account for Larger Market in 2022
Figure 11 Consulting Services to Account for Larger Market Share in 2022
Figure 12 Real-Time Analytics & Predictive Maintenance Applications to Account for Largest Market in 2022
Figure 13 On-Premise Deployment to Account for Larger Market in 2022
Figure 14 Large Enterprises to Account for Larger Market Share in 2022
Figure 15 Banking, Financial Services, and Insurance Vertical to be Largest Vertical in 2022
Figure 16 North America to Account for Largest Market Share in 2022

4 Premium Insights
4.1 Attractive Market Opportunities for Data Pipeline Tools Market Players
Figure 17 High Demand for Tools Transferring Data from Premises to Cloud to Drive Market During Forecast Period
4.2 Market, by Vertical
Figure 18 Banking, Financial Services, and Insurance Vertical to be Largest Vertical During Forecast Period
4.3 Market, by Region
Figure 19 North America to Account for Largest Market by 2027
4.4 Market: Top Three Business Applications and Verticals
Figure 20 Real-Time Analytics & Predictive Maintenance and Bfsi to be Largest Respective Markets by 2022

5 Market Overview and Trends
5.1 Introduction
5.2 Market Dynamics
Figure 21 Drivers, Restraints, Opportunities, and Challenges: Data Pipeline Tools Market
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
Figure 22 Evolution of Data Pipeline Tools
5.4 Ecosystem
Table 6 Data Pipeline Tools Market: 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
5.5.3.1 Leading Ecommerce Site Gained Improved Data Accessibility
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
Figure 23 Supply Chain Analysis
5.7 Porter's Five Forces
Figure 24 Data Pipeline Tools Market: Porter's Five Forces Analysis
Table 7 Market: Porter's Five Forces Analysis
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
Table 8 Data Pipeline Tools Market: Pricing Levels
Figure 25 Average Selling Prices of Key Companies (USD)
5.9 Patent Analysis
5.9.1 Methodology
5.9.2 Document Type
Table 9 Patents Filed, 2018-2021
5.9.3 Innovation and Patent Applications
Figure 26 Annual Number of Patents Granted, 2018-2021
5.9.3.1 Top Applicants
Figure 27 Top Ten Patent Applicants, 2018-2021
Table 10 Us: Top Ten Patent Owners in Market, 2018-2021
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
Table 11 Data Pipeline Tools Market: Detailed List of Conferences & Events, 2022-2023
5.12 Tariff and Regulatory Landscape
5.12.1 Regulatory Bodies, Government Agencies, and Other Organizations
Table 12 North America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 13 Europe: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 14 Asia-Pacific: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 15 Middle East & Africa: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 16 Latin America: List of Regulatory Bodies, Government Agencies, and Other Organizations
5.12.2 North America: Regulations
5.12.2.1 Personal Information Protection and Electronic Documents Act (Pipeda)
5.12.2.2 Gramm-Leach-Bliley (Glb) Act
5.12.2.3 Health Insurance Portability and Accountability Act (Hipaa) of 1996
5.12.2.4 Federal Information Security Management Act (Fisma)
5.12.2.5 Federal Information Processing Standards (Fips)
5.12.2.6 California Consumer Privacy Act (Ccpa)
5.12.3 Europe: Tariffs and Regulations
5.12.3.1 GDPr 2016/679
5.12.3.2 General Data Protection Regulation
5.12.3.3 European Committee for Standardization (Cen)
5.12.3.4 European Technical Standards Institute (Etsi)
5.13 Key Stakeholders & Buying Criteria
5.13.1 Key Stakeholders in Buying Process
Table 17 Influence of Stakeholders in Buying Process for Top Three Applications
5.13.2 Buying Criteria
Table 18 Key Buying Criteria for Top Three Applications

6 Data Pipeline Tools Market, by Component
6.1 Introduction
6.1.1 Component: Market Drivers
Figure 28 Services to Register Higher CAGR During Forecast Period
Table 19 Market, by Component, 2016-2021 (USD Million)
Table 20 Market, by Component, 2022-2027 (USD Million)
6.2 Tools
6.2.1 Greater Need to Access Data from Data Warehouse
Figure 29 Etl Data Pipeline to Register Highest CAGR During Forecast Period
Table 21 Tools: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 22 Tools: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 23 Data Pipeline Tools Subsegment Market, by Region, 2016-2021 (USD Million)
Table 24 Data Pipeline Tools Subsegment Market, by Region, 2022-2027 (USD Million)
6.3 Services
6.3.1 Growing Product Acceptance to Drive Adoption of Data Pipeline Tools
Figure 30 Deployment & Integration Services to Register Highest CAGR During Forecast Period
Table 25 Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 26 Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 27 Data Pipeline Services Market, by Region, 2016-2021 (USD Million)
Table 28 Data Pipeline Services Market, by Region, 2022-2027 (USD Million)
6.3.1.1 Consulting
6.3.1.1.1 Scope to Enable Companies to Lower Risks and Focus on Business
Table 29 Data Pipeline Tool Consulting Services Market, by Region, 2016-2021 (USD Million)
Table 30 Data Pipeline Tool Consulting Services Market, by Region, 2022-2027 (USD Million)
6.3.1.2 Support & Maintenance
6.3.1.2.1 Increase in Demand Due to Shifting Economic Situations
Table 31 Data Pipeline Tool Support & Maintenance Services Market, by Region, 2016-2021 (USD Million)
Table 32 Data Pipeline Tool Support & Maintenance Services Market, by Region, 2022-2027 (USD Million)
6.3.1.3 Deployment & Integration
6.3.1.3.1 Need to Ensure Minimum Risks Among Companies to Drive Demand
Table 33 Data Pipeline Tool Deployment & Integration Services Market, by Region, 2016-2021 (USD Million)
Table 34 Data Pipeline Tool Deployment & Integration Services Market, by Region, 2022-2027 (USD Million)

7 Data Pipeline Tools Market, by Organization Size
7.1 Introduction
7.1.1 Organization Size: Market Drivers
Figure 31 Small- & Medium-Sized Enterprises Segment to Register a Higher CAGR During Forecast Period
Table 35 Market, by Organization Size, 2016-2021 (USD Million)
Table 36 Market, by Organization Size, 2022-2027 (USD Million)
7.2 Large Enterprises
7.2.1 Unstructured Data: Major Concern Among Large Enterprises
Table 37 Large Enterprises Market, by Region, 2016-2021 (USD Million)
Table 38 Large Enterprises Market, by Region, 2022-2027 (USD Million)
7.3 Small- & Medium-Sized Enterprises
7.3.1 Rise in Need to Access Data in Real-Time for Better Decisions
Table 39 Small- & Medium-Sized Enterprises Market, by Region, 2016-2021 (USD Million)
Table 40 Small- & Medium-Sized Enterprises Market, by Region, 2022-2027 (USD Million)

8 Data Pipeline Tools Market, by Deployment Mode
8.1 Introduction
8.1.1 Deployment Mode: Market Drivers
Figure 32 Cloud Deployment to Register Higher CAGR During Forecast Period
Table 41 Market, by Deployment Mode, 2016-2021 (USD Million)
Table 42 Market, by Deployment Mode, 2022-2027 (USD Million)
8.2 On-Premises
8.2.1 Data Pipeline Connects Databases to Centralized Interface to Ease Business
Table 43 On-Premise Market, by Region, 2016-2021 (USD Million)
Table 44 On-Premise Market, by Region, 2022-2027 (USD Million)
8.3 Cloud
8.3.1 Flexibility and Scalability to Boost Adoption of Cloud-Based Data Pipeline Tools
Table 45 Cloud-Based Market, by Region, 2016-2021 (USD Million)
Table 46 Cloud-Based Market, by Region, 2022-2027 (USD Million)

9 Data Pipeline Tools Market, by Type
9.1 Introduction
9.1.1 Type: Market Drivers
Figure 33 Etl Data Pipeline to Register Higher CAGR During Forecast Period
Table 47 Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 48 Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
9.2 Elt Data Pipeline
9.2.1 Usage of Cloud to Drive Shift from Etl to Elt
Table 49 Elt Market, by Region, 2016-2021 (USD Million)
Table 50 Elt Market, by Region, 2022-2027 (USD Million)
9.3 Etl Data Pipeline
9.3.1 Centralizing and Standardizing Data to Enable Easy Access to Experts and Decision-Makers
Table 51 Etl Market, by Region, 2016-2021 (USD Million)
Table 52 Etl Market, by Region, 2022-2027 (USD Million)
9.4 Streaming Data Pipeline
9.4.1 Real-Time Data More Crucial in Streaming Data Pipeline
Table 53 Streaming Data Pipeline Data Pipeline Tools Market, by Region, 2016-2021 (USD Million)
Table 54 Streaming Market, by Region, 2022-2027 (USD Million)
9.5 Batch Data Pipeline
9.5.1 Flexibility and Scalability to Boost Adoption of Cloud-Based Data Pipeline Tools Software
Table 55 Batch Market, by Region, 2016-2021 (USD Million)
Table 56 Batch Market, by Region, 2022-2027 (USD Million)
9.6 Change Data Capture Pipeline (Cdc)
9.6.1 Change Data Capture Essential to Prevent Loss and Destruction of Data
Table 57 Change Data Capture Pipeline Tools Market, by Region, 2016-2021 (USD Million)
Table 58 Change Data Capture Pipeline Tools Market, by Region, 2022-2027 (USD Million)

10 Data Pipeline Tools Market, by Application
10.1 Introduction
10.1.1 Application: Market Drivers
Figure 34 Customer Experience Management to Register Higher CAGR During Forecast Period
Table 59 Market, by Application, 2016-2021 (USD Million)
Table 60 Market, by Application, 2022-2027 (USD Million)
10.2 Real-Time Analytics & Predictive Maintenance
10.2.1 Eliminate Data Pipeline Downtime and Provide Real-Time Data Analysis
Table 61 Real-Time Analytics & Predictive Maintenance Applications Market, by Region, 2016-2021 (USD Million)
Table 62 Real-Time Analytics & Predictive Maintenance Applications Market, by Region, 2022-2027 (USD Million)
10.3 Sales & Marketing Data
10.3.1 Need to Reduce Data Gathering Time from Various Sources and Store Data at Single Location
Table 63 Sales & Marketing Data Applications Market, by Region, 2016-2021 (USD Million)
Table 64 Sales & Marketing Data Applications Market, by Region, 2022-2027 (USD Million)
10.4 Customer 360 & Customer Relationship Management
10.4.1 Need to Analyze Customer Behavior and Reduce Customer Churn
Table 65 Customer 360 & Customer Relationship Management Applications Market, by Region, 2016-2021 (USD Million)
Table 66 Customer 360 & Customer Relationship Management Applications Market, by Region, 2022-2027 (USD Million)
10.5 Customer Experience Management
10.5.1 Unified Customer Views Across Customer Ecosystem to Enhance Customer Experience
Table 67 Customer Experience Management Applications Market, by Region, 2016-2021 (USD Million)
Table 68 Customer Experience Management Applications Market, by Region, 2022-2027 (USD Million)
10.6 Data Migration
10.6.1 Demand to Simplify Data Migration Process by Creating Batch and Streaming Data Pipeline
Table 69 Data Migration Applications Market, by Region, 2016-2021 (USD Million)
Table 70 Data Migration Applications Market, by Region, 2022-2027 (USD Million)
10.7 Other Applications
Table 71 Other Applications Market, by Region, 2016-2021 (USD Million)
Table 72 Other Applications Market, by Region, 2022-2027 (USD Million)

11 Data Pipeline Tools Market, by Vertical
11.1 Introduction
11.1.1 Vertical: Market Drivers
Figure 35 Healthcare & Life Sciences Vertical to Grow at Highest CAGR During Forecast Period
Table 73 Market, by Vertical, 2016-2021 (USD Million)
Table 74 Market, by Vertical, 2022-2027 (USD Million)
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
Table 75 Bfsi Vertical Market, by Region, 2016-2021 (USD Million)
Table 76 Bfsi Verticals Market, by Region, 2022-2027 (USD Million)
11.3 Retail & Ecommerce
11.3.1 Continuous Data Pipeline Flow to Help Analyze Consumer Behavior in Real-Time
Table 77 Retail & Ecommerce Vertical Market, by Region, 2016-2021 (USD Million)
Table 78 Retail & Ecommerce Vertical Market, by Region, 2022-2027 (USD Million)
11.4 Government & Defense
11.4.1 Effective Transformation of Data Without Losing Packets to Help in Faster Decision-Making
Table 79 Government & Defense Vertical Market, by Region, 2016-2021 (USD Million)
Table 80 Government & Defense Vertical Market, by Region, 2022-2027 (USD Million)
11.5 Healthcare & Life Sciences
11.5.1 Pressure from Insurers and Impact of Physicians to Drive Adoption of Robust Data Pipelines
Table 81 Healthcare & Life Sciences Vertical Market, by Region, 2016-2021 (USD Million)
Table 82 Healthcare & Life Sciences Vertical Market, by Region, 2022-2027 (USD Million)
11.6 It & Ites
11.6.1 Rising Complexity and Fast Innovation to Drive Need for Streamlined Data Pipelines
Table 83 It & Ites Vertical Market, by Region, 2016-2021 (USD Million)
Table 84 It & Ites Vertical Market, by Region, 2022-2027 (USD Million)
11.7 Energy & Utilities
11.7.1 Advanced Data Pipeline Tools to Help Build Accountable, Transparent, Fair, and Secure Systems
Table 85 Energy & Utilities Vertical Market, by Region, 2016-2021 (USD Million)
Table 86 Energy & Utilities Vertical Market, by Region, 2022-2027 (USD Million)
11.8 Telecommunication
11.8.1 Deployment of Data Pipeline Tools to Reduce Network Anomalies by Maintaining Continuous Data Flow
Table 87 Telecommunication Vertical Market, by Region, 2016-2021 (USD Million)
Table 88 Telecommunication Vertical Market, by Region, 2022-2027 (USD Million)
11.9 Manufacturing
11.9.1 Rise in Use of Robust Data Pipeline Tools to Predict Machine Downtime and Maintenance
Table 89 Manufacturing Vertical Market, by Region, 2016-2021 (USD Million)
Table 90 Manufacturing Vertical Market, by Region, 2022-2027 (USD Million)
11.10 Transportation & Logistics
11.10.1 Growing Need for Seamless Integrated Data Pipeline Across Multi-Model Transportation Network
Table 91 Transportation & Logistics Vertical Market, by Region, 2016-2021 (USD Million)
Table 92 Transportation & Logistics Vertical Market, by Region, 2022-2027 (USD Million)
11.11 Other Verticals
Table 93 Other Verticals Market, by Region, 2016-2021 (USD Million)
Table 94 Other Verticals Market, by Region, 2022-2027 (USD Million)

12 Data Pipeline Tools Market, by Region
12.1 Introduction
Figure 36 Thailand to Account for Highest CAGR During Forecast Period
Figure 37 Asia-Pacific to Account for Highest CAGR During Forecast Period
Table 95 Data Pipeline Market Tools Market, by Region, 2016-2021 (USD Million)
Table 96 Data Pipeline Market Tools Market, by Region, 2022-2027 (USD Million)
12.2 North America
12.2.1 North America: Market Drivers
Figure 38 North America: Market Snapshot
Table 97 North America: Market, by Component, 2016-2021 (USD Million)
Table 98 North America: Market, by Component, 2022-2027 (USD Million)
Table 99 North America: Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 100 North America: Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 101 North America: Data Pipeline Tools Market, by Deployment Mode, 2016-2021 (USD Million)
Table 102 North America: Market, by Deployment Mode, 2022-2027 (USD Million)
Table 103 North America: Market, by Organization Size, 2016-2021 (USD Million)
Table 104 North America: Market, by Organization Size, 2022-2027 (USD Million)
Table 105 North America: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 106 North America: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 107 North America: Market, by Application, 2016-2021 (USD Million)
Table 108 North America: Market, by Application, 2022-2027 (USD Million)
Table 109 North America: Market, by Vertical, 2016-2021 (USD Million)
Table 110 North America: Market, by Vertical, 2022-2027 (USD Million)
Table 111 North America: Market, by Country, 2016-2021 (USD Million)
Table 112 North America: Market, by Country, 2022-2027 (USD Million)
12.2.2 US
12.2.2.1 Presence of Several Global Players to Increase Demand for Data Pipelines
12.2.3 Canada
12.2.3.1 Rapid Adoption of Flexible and Intuitive Data Pipeline Tools and Services
12.3 Europe
12.3.1 Europe: Data Pipeline Tools Market Drivers
Table 113 Europe: Market, by Component, 2016-2021 (USD Million)
Table 114 Europe: Market, by Component, 2022-2027 (USD Million)
Table 115 Europe: Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 116 Europe: Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 117 Europe: Market, by Deployment Mode, 2016-2021 (USD Million)
Table 118 Europe: Market, by Deployment Mode, 2022-2027 (USD Million)
Table 119 Europe: Market, by Organization Size, 2016-2021 (USD Million)
Table 120 Europe: Market, by Organization Size, 2022-2027 (USD Million)
Table 121 Europe: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 122 Europe: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 123 Europe: Data Pipeline Tools Market, by Application, 2016-2021 (USD Million)
Table 124 Europe: Market, by Application, 2022-2027 (USD Million)
Table 125 Europe: Market, by Vertical, 2016-2021 (USD Million)
Table 126 Europe: Market, by Vertical, 2022-2027 (USD Million)
Table 127 Europe: Market, by Country, 2016-2021 (USD Million)
Table 128 Europe: Market, by Country, 2022-2027 (USD Million)
12.3.2 UK
12.3.2.1 Focus on Research & Development of Advanced Technologies to Drive Growth
12.3.3 Germany
12.3.3.1 Rapid Adoption of Modern Technologies Across Various Verticals to Fuel Expansion
12.3.4 France
12.3.4.1 Government Investments in Infrastructure and Modern Technologies to Fuel Growth
12.3.5 Rest of Europe
12.4 Asia-Pacific
12.4.1 Asia-Pacific: Data Pipeline Tools Market Drivers
Figure 39 Asia-Pacific: Market Snapshot
Table 129 Asia-Pacific: Market, by Component, 2016-2021 (USD Million)
Table 130 Asia-Pacific: Market, by Component, 2022-2027 (USD Million)
Table 131 Asia-Pacific: Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 132 Asia-Pacific: Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 133 Asia-Pacific: Market, by Deployment Mode, 2016-2021 (USD Million)
Table 134 Asia-Pacific: Market, by Deployment Mode, 2022-2027 (USD Million)
Table 135 Asia-Pacific: Market, by Organization Size, 2016-2021 (USD Million)
Table 136 Asia-Pacific: Market, by Organization Size, 2022-2027 (USD Million)
Table 137 Asia-Pacific: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 138 Asia-Pacific: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 139 Asia-Pacific: Data Pipeline Tools Market, by Application, 2016-2021 (USD Million)
Table 140 Asia-Pacific: Market, by Application, 2022-2027 (USD Million)
Table 141 Asia-Pacific: Market, by Vertical, 2016-2021 (USD Million)
Table 142 Asia-Pacific: Market, by Vertical, 2022-2027 (USD Million)
Table 143 Asia-Pacific: Market, by Country, 2016-2021 (USD Million)
Table 144 Asia-Pacific: Market, by Country, 2022-2027 (USD Million)
12.4.2 China
12.4.2.1 Rapid Adoption of Advanced Technologies Across Various Verticals to Increase Demand
12.4.3 Thailand
12.4.3.1 Rise in Government and Foreign Investment to Boost Demand
12.4.4 Myanmar
12.4.4.1 Advancement and Expansion of Technologies to Drive Growth
12.4.5 Vietnam
12.4.5.1 Adoption of Modern Technologies to Fuel Growth
12.4.6 Japan
12.4.6.1 Growth in Innovation and Initiatives to Propel Market
12.4.7 India
12.4.7.1 Foreign Investment in Indian Firms to Drive Growth
12.4.8 Rest of Asia-Pacific
12.5 Middle East & Africa
12.5.1 Middle East & Africa: Data Pipeline Tools Market Drivers
Table 145 Middle East & Africa: Market, by Component, 2016-2021 (USD Million)
Table 146 Middle East & Africa: Market, by Component, 2022-2027 (USD Million)
Table 147 Middle East & Africa: Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 148 Middle East & Africa: Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 149 Middle East & Africa: Market, by Deployment Mode, 2016-2021 (USD Million)
Table 150 Middle East & Africa: Market, by Deployment Mode, 2022-2027 (USD Million)
Table 151 Middle East & Africa: Market, by Organization Size, 2016-2021 (USD Million)
Table 152 Middle East & Africa: Market, by Organization Size, 2022-2027 (USD Million)
Table 153 Middle East & Africa: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 154 Middle East & Africa: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 155 Middle East & Africa: Data Pipeline Tools Market, by Application, 2016-2021 (USD Million)
Table 156 Middle East & Africa: Market, by Application, 2022-2027 (USD Million)
Table 157 Middle East & Africa: Market, by Vertical, 2016-2021 (USD Million)
Table 158 Middle East & Africa: Market, by Vertical, 2022-2027 (USD Million)
Table 159 Middle East & Africa: Market, by Subregion, 2016-2021 (USD Million)
Table 160 Middle East & Africa: Market, by Subregion, 2022-2027 (USD Million)
12.5.2 Middle East
12.5.2.1 Higher Expenditure on Emerging Technologies to Offer Opportunities to Drive Growth
12.5.3 Africa
12.5.3.1 Widespread Adoption of Technologies to Improve Business Applications
12.6 Latin America
12.6.1 Latin America: Data Pipeline Tools Market Drivers
Table 161 Latin America: Market, by Component, 2016-2021 (USD Million)
Table 162 Latin America: Market, by Component, 2022-2027 (USD Million)
Table 163 Latin America: Data Pipeline Services Market, by Type, 2016-2021 (USD Million)
Table 164 Latin America: Data Pipeline Services Market, by Type, 2022-2027 (USD Million)
Table 165 Latin America: Market, by Deployment Mode, 2016-2021 (USD Million)
Table 166 Latin America: Market, by Deployment Mode, 2022-2027 (USD Million)
Table 167 Latin America: Market, by Organization Size, 2016-2021 (USD Million)
Table 168 Latin America: Market, by Organization Size, 2022-2027 (USD Million)
Table 169 Latin America: Data Pipeline Tools Subsegment Market, by Type, 2016-2021 (USD Million)
Table 170 Latin America: Data Pipeline Tools Subsegment Market, by Type, 2022-2027 (USD Million)
Table 171 Latin America: Data Pipeline Tools Market, by Application, 2016-2021 (USD Million)
Table 172 Latin America: Market, by Application, 2022-2027 (USD Million)
Table 173 Latin America: Market, by Vertical, 2016-2021 (USD Million)
Table 174 Latin America: Market, by Vertical, 2022-2027 (USD Million)
Table 175 Latin America: Market, by Country, 2016-2021 (USD Million)
Table 176 Latin America: Market, by Country, 2022-2027 (USD Million)
12.6.2 Brazil
12.6.2.1 Need to Integrate and Validate Data Collected from Sources to Drive Demand
12.6.3 Mexico
12.6.3.1 Rapid Adoption of Modern Technology and Initiatives by Government to Drive Demand
12.6.4 Rest of Latin America

13 Competitive Landscape
13.1 Overview
13.2 Strategies Adopted by Key Players
Table 177 Overview of Strategies Deployed by Key Players in Data Pipeline Tools Market
13.3 Revenue Analysis
Figure 40 Revenue Analysis for Key Companies in Past Five Years (USD Million)
13.4 Market Share Analysis
Figure 41 Market Share Analysis for Key Players in 2022
Table 178 Market: Degree of Competition
13.5 Company Evaluation Quadrant
13.5.1 Stars
13.5.2 Emerging Leaders
13.5.3 Pervasive Players
13.5.4 Participants
Figure 42 Key Data Pipeline Tools Market Players, Company Evaluation Matrix, 2022
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
Figure 43 Data Pipeline Tool Startups/Smes, Company Evaluation Matrix, 2022
13.7 Competitive Benchmarking
Table 179 Market: Detailed List of Key Startups/Smes
Table 180 Market: Competitive Benchmarking of Key Players (Startups/Smes)
13.8 Competitive Scenario
13.8.1 Product Launches
Table 181 Product Launches, 2018-2022
13.8.2 Deals
Table 182 Deals, 2018-2022
13.8.3 Others
Table 183 Others, 2018-2022

14 Company Profiles
(Business Overview, Solutions Offered, Recent Developments, and Analyst's View (Key Strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
14.1 Key Players
14.1.1 Google
Table 184 Google: Business Overview
Figure 44 Google: Company Snapshot
Table 185 Google: Solutions Offered
Table 186 Google: Product Launches and Enhancements
Table 187 Google: Deals
14.1.2 Ibm
Table 188 Ibm: Business Overview
Figure 45 Ibm: Company Snapshot
Table 189 Ibm: Solutions Offered
Table 190 Ibm: Product Launches and Enhancements
Table 191 Ibm: Deals
Table 192 Ibm: Others
14.1.3 Microsoft
Table 193 Microsoft: Business Overview
Figure 46 Microsoft: Company Snapshot
Table 194 Microsoft: Solutions Offered
Table 195 Microsoft: Product Launches and Enhancements
Table 196 Microsoft: Deals
Table 197 Microsoft: Others
14.1.4 Aws
Table 198 Aws: Business Overview
Figure 47 Aws: Company Snapshot
Table 199 Aws: Solutions Offered
Table 200 Aws: Product Launches and Enhancements
Table 201 Aws: Deals
Table 202 Aws: Others
14.1.5 Sap
Table 203 Sap: Business Overview
Figure 48 Sap: Company Snapshot
Table 204 Sap: Solutions Offered
Table 205 Sap: Product Launches and Enhancements
Table 206 Sap: Deals
14.1.6 Oracle
Table 207 Oracle: Business Overview
Figure 49 Oracle: Company Snapshot
Table 208 Oracle: Solutions Offered
Table 209 Oracle: Product Launches and Enhancements
Table 210 Oracle: Deals
14.1.7 Alteryx
Table 211 Alteryx: Business Overview
Figure 50 Alteryx: Company Snapshot
Table 212 Alteryx: Solutions Offered
Table 213 Alteryx: Product Launches and Enhancements
Table 214 Alteryx: Deals
14.1.8 Informatica
Table 215 Informatica: Business Overview
Table 216 Informatica: Solutions Offered
Table 217 Informatica: Product Launches and Enhancements
Table 218 Informatica: Deals
Table 219 Informatica: Others
14.1.9 Actian
Table 220 Actian: Business Overview
Table 221 Actian: Solutions Offered
Table 222 Actian: Product Launches and Enhancements
14.1.10 Talend
Table 223 Talend: Business Overview
Figure 51 Talend: Company Snapshot
Table 224 Talend: Solutions Offered
Table 225 Talend: Product Launches and Enhancements
Table 226 Talend: Deals
Table 227 Talend: Others
14.1.11 Denodo Technologies
Table 228 Denodo Technologies: Business Overview
Table 229 Denodo Technologies: Solutions Offered
Table 230 Denodo Technologies: Product Launches and Enhancements
Table 231 Denodo Technologies: Deals
14.1.12 Snowflake
Table 232 Snowflake: Business Overview
Table 233 Snowflake: Solutions Offered
Table 234 Snowflake: Product Launches and Enhancements
Table 235 Snowflake: Deals
14.1.13 Software Ag
Table 236 Software Ag: Business Overview
Table 237 Software Ag: Solutions Offered
Table 238 Software Ag: Product Launches and Enhancements
Table 239 Software Ag: Deals
14.1.14 Hitachi Vantara
Table 240 Hitachi Vantara: Business Overview
Table 241 Hitachi: Solutions Offered
Table 242 Hitachi Vantara: Product Launches and Enhancements
Table 243 Hitachi Vantara: Deals
14.1.15 Qlik
Table 244 Qlik: Business Overview
Table 245 Qlik: Solutions Offered
Table 246 Qlik: Product Launches and Enhancements
Table 247 Qlik: Deals
14.1.16 Tibco
Table 248 Tibco: Business Overview
Table 249 Tibco: Solutions Offered
Table 250 Tibco: Product Launches and Enhancements
Table 251 Tibco: Deals
14.1.17 Hevo Data
Table 252 Hevo Data: Business Overview
Table 253 Hevo Data: Solutions Offered
Table 254 Hevo Data: Deals
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

*Details on Business Overview, Solutions Offered, Recent Developments, and Analyst's View (Key Strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) Might Not be Captured in Case of Unlisted Companies.

15 Adjacent and Related Markets
15.1 Introduction
15.2 Data Integration Market - Global Forecast to 2026
15.2.1 Market Definition
15.2.2 Market Overview
15.2.3 Data Integration Market, by Component
Table 255 Data Integration Market, by Component, 2015-2020 (USD Million)
Table 256 Data Integration Market, by Component, 2021-2026 (USD Million)
15.2.4 Data Integration Market, by Application
Table 257 Data Integration Market, by Business Application, 2015-2020 (USD Million)
Table 258 Data Integration Market, by Business Application, 2021-2026 (USD Million)
15.2.5 Data Integration Market, by Deployment Model
Table 259 Data Integration Market, by Deployment Model, 2015-2020 (USD Million)
Table 260 Data Integration Market, by Deployment Model, 2021-2026 (USD Million)
15.2.6 Data Integration Market, by Organization Size
Table 261 Data Integration Market, by Organization Size, 2015-2020 (USD Million)
Table 262 Data Integration Market, by Organization Size, 2021-2026 (USD Million)
15.2.7 Data Integration Market, by Vertical
Table 263 Data Integration Market, by Vertical, 2015-2020 (USD Million)
Table 264 Data Integration Market, by Vertical, 2021-2026 (USD Million)
15.2.8 Data Integration Market, by Region
Table 265 Data Integration Market, by Region, 2015-2020 (USD Million)
Table 266 Data Integration Market, by Region, 2021-2026 (USD Million)
15.3 Big Data Market - Global Forecast to 2026
15.3.1 Market Definition
15.3.2 Market Overview
Table 267 Big Data Market Size and Growth Rate, 2016-2020 (USD Million, Y-O-Y)
Table 268 Big Data Market Size and Growth Rate, 2021-2026 (USD Million, Y-O-Y)
15.3.3 Big Data Market, by Component
Table 269 Big Data Market, by Component, 2016-2020 (USD Million)
Table 270 Big Data Market, by Component, 2021-2026 (USD Million)
15.3.4 Big Data Market, by Business Function
Table 271 Big Data Market, by Business Function, 2016-2020 (USD Million)
Table 272 Big Data Market, by Business Function, 2021-2026 (USD Million)
15.3.5 Big Data Market, by Organization Size
Table 273 Big Data Market, by Organization Size, 2016-2020 (USD Million)
Table 274 Big Data Market, by Organization Size, 2021-2026 (USD Million)
15.3.6 Big Data Market, by Deployment Mode
Table 275 Big Data Market, by Deployment Mode, 2016-2020 (USD Million)
Table 276 Big Data Market, by Deployment Mode, 2021-2026 (USD Million)
15.3.7 Big Data Market, by Vertical
Table 277 Big Data Market, by Industry Vertical, 2016-2020 (USD Million)
Table 278 Big Data Market, by Industry Vertical, 2021-2026 (USD Million)
15.3.8 Big Data Market, by Region
Table 279 Big Data Market, by Region, 2016-2020 (USD Million)
Table 280 Big Data Market, by Region, 2021-2026 (USD Million)

16 Appendix
16.1 Discussion Guide
16.2 Knowledgestore: The Subscription Portal
16.3 Customization Options
16.4 Related Reports
16.5 Author Details

Companies Mentioned

  • Actian
  • Adeptia
  • Alteryx
  • AWS
  • Blendo
  • Confluent
  • Denodo Technologies
  • Estuary Flow
  • Fivetran
  • Gathr
  • Google
  • Hevo Data
  • Hitachi Vantara
  • IBM
  • Informatica
  • Integrate.Io
  • K2View
  • Microsoft
  • Oracle
  • Precisely
  • Qlik
  • Rivery.Io
  • Sap
  • Snaplogic
  • Snowflake
  • Software Ag
  • Talend
  • Tapclicks
  • Tibco

Methodology

Loading
LOADING...

Table Information

Report AttributeDetails
No. of Pages278
PublishedOctober 2022
Forecast Period2022 - 2027
Estimated Market Value ( USD ) in 2022 $ 6.9 Billion
Forecasted Market Value ( USD ) by 2027 $ 17.6 Billion
Compound Annual Growth Rate20.3%
Regions CoveredGlobal
No. of Companies Mentioned29

Related Topics

Related Reports

Data Pipeline Tools Market Size, Share & Trends Analysis Report by Component (Tools, Services), Type, Deployment, Enterprise Size, Application, End-use, Region, and Segment Forecasts, 2025-2030 - Product Image

Data Pipeline Tools Market Size, Share & Trends Analysis Report by Component (Tools, Services), Type, Deployment, Enterprise Size, Application, End-use, Region, and Segment Forecasts, 2025-2030

  • Report
  • 182 Pages
  • Global
From
Data Pipeline Tools Market by Component, Data Pipeline Type, Deployment, Organization Size, Application, End-Use - Global Forecast 2025-2030 - Product Image

Data Pipeline Tools Market by Component, Data Pipeline Type, Deployment, Organization Size, Application, End-Use - Global Forecast 2025-2030

  • Report
  • 188 Pages
  • Global
From
Data Pipeline Tools Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030 - Product Image

Data Pipeline Tools Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030

  • Report
  • 400 Pages
  • Global
From
Data Pipeline Tools Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2019-2029F - Product Image

Data Pipeline Tools Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2019-2029F

  • Report
  • 180 Pages
  • Global
From
Data Pipeline Tools Global Market Report 2024 - Product Image

Data Pipeline Tools Global Market Report 2024

  • Report
  • 175 Pages
  • Global
From
Copyright © 2002-2024 Research and Markets. All Rights Reserved.