Data Pipeline Tools Market
Data Pipeline Tools Market Forecasts to 2030 - Global Analysis By Product Type (ELT Data Pipeline, ETL Data Pipeline, Streaming Data Pipeline and Other Product Types), Component (Tools, Service and Other Components), Deployment Mode, Organization Size, Application, End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $8.4 BN |
|
Projected Year Value (2030) |
US $34.5 BN |
|
CAGR (2023 - 2030) |
22.3% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Data Pipeline Tools Market is accounted for $8.4 billion in 2023 and is expected to reach $34.5 billion by 2030 growing at a CAGR of 22.3% during the forecast period. Data pipelines are specialized solutions for analytics, data science, artificial intelligence (AI), and machine learning that allow data from one system to move to and be used in another system. A data pipeline's fundamental function is to take data from the source, apply transformation and processing rules, and then deliver the data where it is needed. Data is sent from a main place where it is gathered or stored to a secondary location where it is merged with other data inputs via a data pipeline. Due to security and privacy concerns, many firms put data on an on-premises system. These businesses occasionally need data pipeline technologies as well.
According to research by Software AG, there are 7.8 billion individuals in the globe, and each one generates 2.5 quintillion bytes of data each day. Data pipelines turn raw information into data that is suitable for insights, applications, machine learning, and artificial intelligence (AI) systems.
Market Dynamics:
Driver:
Increased organizational use of advanced data pipeline tools for cloud flexibility
Data should be accessible at all times to businesses that require it. Traditional pipelines demand that many groups within a business have access to data. Outages and disturbances may happen concurrently. Instead of requiring days or weeks, organizations must grow data storage and processing capabilities rapidly and inexpensively. Legacy data pipelines are frequently inflexible, precise, sluggish, challenging to debug, and difficult to grow. A lot of time, money, and effort are needed for production and management. Additionally, it affects peak company operations since many procedures are often incompatible. As a result, cutting-edge pipeline technologies offer instant cloud flexibility at a fraction of the cost of conventional systems.
Restraint:
Absence of data access in business processes
The main engine underlying decision-making and business operations in data-driven organizations is data. Particularly during occasions like infrastructure upgrades, mergers and acquisitions, restructurings, and migrations, data might become inaccurate or incomplete. Customer complaints to subpar analytical results are just a few of the ways that a lack of data access may hurt a firm. The integrity of these pipelines is something that data engineers spend a substantial amount of effort upgrading, maintaining, and verifying. Thus, the market is being hampered by the above issues.
Opportunity:
Need for flexibility to handle demand surges
Anytime a business needs data, they must be able to access it. When several organizations in a business demand data access at once, traditional pipelines may have shutdowns and interruptions. The business should be able to swiftly and economically grow its data storage and processing capacity, rather than needing many days or weeks. Legacy data pipelines typically display rigidity and slowness, include errors, are challenging to troubleshoot, and are challenging to expand. They need a significant outlay of time, money, and effort during both their creation and management. Additionally, they typically are unable to operate many processes concurrently, which hurt the company's performance during busy times. Advanced data pipelines offer the immediate flexibility of the conventional systems at a fraction of the cost which create wide range of opportunities for the growth of the market.
Threat:
Insufficient competence among workers
Organizations must use cutting-edge data pipeline technology to gather and integrate massive amounts of data from various internal and external data sources, merge the information silos, and provide valuable business intelligence. Because of their poor knowledge and abilities, the workforce is unable to adopt data pipeline solutions. Because businesses frequently function in silos, a data pipeline is increasingly necessary to gain a thorough understanding of a variety of applications and industries. Numerous studies and publications assert that polls routinely show that employees in organizations have insufficient knowledge and skills which hinders the market growth.
Covid-19 Impact
The COVID-19 outbreak had a favorable effect on the market for data pipeline products. A vast amount of organized, semi-structured, and unstructured data in the forms of video, audio, emails, and other internet platforms was produced as the majority of people began to adopt the work-from-home lifestyle. The technologies are also growing in popularity as data corruption events increase globally. The amount of data produced has increased dramatically, particularly since the COVID-19 pandemic. Tools are therefore designed to safeguard data flow and lower the chance of data corruption. As a result, the aforementioned reasons accelerated the expansion of the data pipeline industry.
The streaming data pipeline segment is expected to be the largest during the forecast period
The streaming data pipeline segment is estimated to have a lucrative growth, due to the point of use as it is being generated. Data lakes, data warehouses, messaging systems, and data streams may all be published to using streaming data pipelines. By streaming data from on-premises systems to cloud data warehouses for real-time analytics, ML modelling, reporting, and producing BI dashboards, streaming data pipelines assist enterprises in gaining insightful information. The flexibility, agility, and cost-effectiveness of processing and storage are all benefits of moving workloads to the cloud.
The small and medium enterprises segment is expected to have the highest CAGR during the forecast period
The small and medium enterprises segment is anticipated to witness the highest CAGR growth during the forecast period, due to the widespread presence of small and medium-sized businesses in nations like India, China, the United States, France, and Italy. In order to develop in their growth plan and successfully compete with their larger competitors, SMEs can utilize data to make crucial business choices. Small and medium-sized businesses (SMEs), particularly in emerging and transitional countries, are a potent force behind industrial growth and, consequently, overall economic development. By utilizing data insights, the SME sector is dispelling the myth that giant corporations are the only ones that can utilize data extensively.
Region with largest share:
Given that major industry players like Microsoft Corporation, IBM Corporation, and AWS, Inc. are believed to be present in this region and play a significant role in determining the direction of the global market, North America is predicted to hold the largest market share during the forecast period. The primary variables influencing the North American industry are the quick transfer of large data volumes and the subsequent development of trustworthy data. Data pipeline systems are used by a variety of industrial and commercial organizations in the United States and Canada to streamline operations, lessen data security, and boost regional economic growth.
Region with highest CAGR:
Europe is projected to have the highest CAGR over the forecast period, due to rising innovation and the emergence of new technologies like artificial intelligence (AI) and machine learning (ML), In the U.K. and France, there is an increasing requirement for data pipelines and integration due to the growing desire to integrate various data sets from various sources via a single cloud, which is anticipated to drive the market over the projected period.
Key players in the market
Some of the key players profiled in the Data Pipeline Tools Market include Amazon Web Services, Inc., Actian Corporation, Blendo, Google LLC, Hevo Data Inc., IBM, Informatica, Inc, K2VIEW, Microsoft Corporation, Oracle, Precisely Holdings, LLC, SAP SE, Skyvia, Snap Logic Inc., Snowflake, Inc., Software AG and Tibco Software, Inc.
Key Developments:
In August 2023, Amazon Connect launches granular access controls for the agent activity audit report, this new capability enables customers to define who is able to see the historical agent statuses (e.g. “Available”) for specific agents.
In August 2023, Amazon Detective launches in the AWS Israel (Tel Aviv) Region, Detective also automatically group’s related findings from Amazon GuardDuty and Amazon Inspector to show you combined threats and vulnerabilities to help security analysts identify and prioritize potential high severity security risks.
In June 2023, Oracle Introduces Generative AI Capabilities to Help HR Boost Productivity, the new capabilities are embedded in existing HR processes to drive faster business value, improve productivity, enhance the candidate and employee experience, and streamline HR processes.
Product Types Covered:
• ELT Data Pipeline
• ETL Data Pipeline
• Streaming Data Pipeline
• Batch Data Pipeline
• Change Data Capture Pipeline (CDC)
• Other Product Types
Components Covered:
• Tools
• Service
• Other Components
Deployment Modes Covered:
• Cloud
• On-Premises
Organization Sizes Covered:
• Large Enterprises
• Small And Medium Enterprises
Applications Covered:
• Predictive Maintenance
• Customer Experience Management
• Sales And Marketing Data
• Real-Time Analytics
• Customer Relationship Management
• Data Migration
• Data Traffic Management
• Other Applications
End Users Covered:
• BFSI
• Energy & Utilities
• Government & Defense
• Healthcare & Life Sciences
• IT and ITeS
• Manufacturing
• Other Verticals
• Retail & eCommerce
• Telecom
• Transportation & Logistics
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Product Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Data Pipeline Tools Market, By Product Type
5.1 Introduction
5.2 ELT Data Pipeline
5.3 ETL Data Pipeline
5.4 Streaming Data Pipeline
5.5 Batch Data Pipeline
5.6 Change Data Capture Pipeline (CDC)
5.7 Other Product Types
6 Global Data Pipeline Tools Market, By Component
6.1 Introduction
6.2 Tools
6.2.1 Batch Processing
6.2.2 Streaming
6.3 Service
6.3.1 Support & Maintainance
6.3.2 Consulting
6.3.3 Deployment & Integration
6.3.4 Strategy & Architecture
6.3.6 Design & Development
6.4 Other Components
7 Global Data Pipeline Tools Market, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-Premises
8 Global Data Pipeline Tools Market, By Organization Size
8.1 Introduction
8.2 Large Enterprises
8.3 Small And Medium Enterprises
9 Global Data Pipeline Tools Market, By Application
9.1 Introduction
9.2 Predictive Maintenance
9.3 Customer Experience Management
9.4 Sales And Marketing Data
9.5 Real-Time Analytics
9.6 Customer Relationship Management
9.7 Data Migration
9.8 Data Traffic Management
9.9 Other Applications
10 Global Data Pipeline Tools Market, By End User
10.1 Introduction
10.2 BFSI
10.3 Energy & Utilities
10.4 Government & Defense
10.5 Healthcare & Life Sciences
10.6 IT and ITeS
10.7 Manufacturing
10.8 Other Verticals
10.9 Retail & eCommerce
10.10 Telecom
10.11 Transportation & Logistics
10.12 Other End Users
11 Global Data Pipeline Tools Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Amazon Web Services, Inc.
13.2 Actian Corporation
13.3 Blendo
13.4 Google LLC
13.5 Hevo Data Inc.
13.6 IBM
13.7 Informatica, Inc
13.8 K2VIEW
13.9 Microsoft Corporation
13.10 Oracle
13.11 Precisely Holdings, LLC,
13.12 SAP SE
13.13 Skyvia
13.14 Snap Logic Inc.
13.15 Snowflake, Inc.
13.16 Software AG
13.17 Tibco Software, Inc.
List of Tables
1 Global Data Pipeline Tools Market Outlook, By Region (2021-2030) ($MN)
2 Global Data Pipeline Tools Market Outlook, By Product Type (2021-2030) ($MN)
3 Global Data Pipeline Tools Market Outlook, By ELT Data Pipeline (2021-2030) ($MN)
4 Global Data Pipeline Tools Market Outlook, By ETL Data Pipeline (2021-2030) ($MN)
5 Global Data Pipeline Tools Market Outlook, By Streaming Data Pipeline (2021-2030) ($MN)
6 Global Data Pipeline Tools Market Outlook, By Batch Data Pipeline (2021-2030) ($MN)
7 Global Data Pipeline Tools Market Outlook, By Change Data Capture Pipeline (CDC) (2021-2030) ($MN)
8 Global Data Pipeline Tools Market Outlook, By Other Product Types (2021-2030) ($MN)
9 Global Data Pipeline Tools Market Outlook, By Component (2021-2030) ($MN)
10 Global Data Pipeline Tools Market Outlook, By Tools (2021-2030) ($MN)
11 Global Data Pipeline Tools Market Outlook, By Batch Processing (2021-2030) ($MN)
12 Global Data Pipeline Tools Market Outlook, By Streaming (2021-2030) ($MN)
13 Global Data Pipeline Tools Market Outlook, By Service (2021-2030) ($MN)
14 Global Data Pipeline Tools Market Outlook, By Support & Maintainance (2021-2030) ($MN)
15 Global Data Pipeline Tools Market Outlook, By Consulting (2021-2030) ($MN)
16 Global Data Pipeline Tools Market Outlook, By Deployment & Integration (2021-2030) ($MN)
17 Global Data Pipeline Tools Market Outlook, By Strategy & Architecture (2021-2030) ($MN)
18 Global Data Pipeline Tools Market Outlook, By Design & Development (2021-2030) ($MN)
19 Global Data Pipeline Tools Market Outlook, By Other Components (2021-2030) ($MN)
20 Global Data Pipeline Tools Market Outlook, By Deployment Mode (2021-2030) ($MN)
21 Global Data Pipeline Tools Market Outlook, By Cloud (2021-2030) ($MN)
22 Global Data Pipeline Tools Market Outlook, By On-Premises (2021-2030) ($MN)
23 Global Data Pipeline Tools Market Outlook, By Organization Size (2021-2030) ($MN)
24 Global Data Pipeline Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
25 Global Data Pipeline Tools Market Outlook, By Small And Medium Enterprises (2021-2030) ($MN)
26 Global Data Pipeline Tools Market Outlook, By Application (2021-2030) ($MN)
27 Global Data Pipeline Tools Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
28 Global Data Pipeline Tools Market Outlook, By Customer Experience Management (2021-2030) ($MN)
29 Global Data Pipeline Tools Market Outlook, By Sales And Marketing Data (2021-2030) ($MN)
30 Global Data Pipeline Tools Market Outlook, By Real-Time Analytics (2021-2030) ($MN)
31 Global Data Pipeline Tools Market Outlook, By Customer Relationship Management (2021-2030) ($MN)
32 Global Data Pipeline Tools Market Outlook, By Data Migration (2021-2030) ($MN)
33 Global Data Pipeline Tools Market Outlook, By Data Traffic Management (2021-2030) ($MN)
34 Global Data Pipeline Tools Market Outlook, By Other Applications (2021-2030) ($MN)
35 Global Data Pipeline Tools Market Outlook, By End User (2021-2030) ($MN)
36 Global Data Pipeline Tools Market Outlook, By BFSI (2021-2030) ($MN)
37 Global Data Pipeline Tools Market Outlook, By Energy & Utilities (2021-2030) ($MN)
38 Global Data Pipeline Tools Market Outlook, By Government & Defense (2021-2030) ($MN)
39 Global Data Pipeline Tools Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
40 Global Data Pipeline Tools Market Outlook, By IT and ITeS (2021-2030) ($MN)
41 Global Data Pipeline Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
42 Global Data Pipeline Tools Market Outlook, By Other Verticals (2021-2030) ($MN)
43 Global Data Pipeline Tools Market Outlook, By Retail & eCommerce (2021-2030) ($MN)
44 Global Data Pipeline Tools Market Outlook, By Telecom (2021-2030) ($MN)
45 Global Data Pipeline Tools Market Outlook, By Transportation & Logistics (2021-2030) ($MN)
46 Global Data Pipeline Tools Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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