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1351059

到 2030 年資料管道工具的市場預測：依部門市場和地區分類的全球分析

Data Pipeline Tools Market Forecasts to 2030 - Global Analysis By Product Type, Component, Deployment Mode, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球資料管道工具市場規模將達到 84 億美元，預計到 2030 年將達到 345 億美元，預測期內年複合成長率為 22.3%。

資料管道是用於分析、資料科學、人工智慧 (AI) 和機器學習的專用解決方案，可讓您將資料從一個系統移至另一個系統以供使用。資料管道的基本功能是從來源取得資料，應用轉換和處理規則，並將資料傳遞到需要的地方。資料從收集或儲存的主要位置流向輔助位置，在輔助位置透過資料管道與其他資料輸入合併。出於安全和隱私考慮，許多公司將資料保存在本地系統中。這些公司有時也需要資料管道技術。

根據 Software AG 的研究，全球有 78 億人，每個人每天產生 2.5 億位元組的資料。資料管道將原始資訊轉化為適合洞察、應用、機器學習和人工智慧 (AI) 系統的資料。

更多組織使用進階資料管道工具以提高雲端彈性

有需要的企業必須隨時可以存取資料。傳統管道要求企業內的許多團隊都可以存取資料。故障和故障也可能同時發生。企業需要快速且經濟地擴展資料儲存和處理能力，而不是幾天或幾週。傳統資料管道通常彈性、不精確、緩慢、難以調試且難以擴展。生產和管理需要大量的時間、金錢和精力。此外，許多程式往往不相容，影響公司的高峰業務。因此，尖端的管道技術以傳統系統成本的一小部分提供了即時的雲端彈性。

業務流程中缺乏資料訪問

資料是資料主導組織中決策和業務營運的主要引擎。特別是在基礎設施升級、併購、重組、遷移等過程中，資料可能會變得不準確或不完整。客戶投訴和分析結果下降只是缺乏資料存取可能為公司帶來的部分成本。資料工程師花費大量精力來升級、維護和檢驗此類管道的完整性。因此，市場受到上述問題的阻礙。

需要彈性來滿足需求激增

企業需要能夠在資料時存取資料。當企業內的多個組織同時請求資料存取時，傳統管道可能會遇到關閉和中斷。企業需要能夠快速、經濟地擴展資料儲存和處理能力，而不是在幾天或幾週內。傳統資料管道通常僵化、緩慢、容易出錯、難以排除故障且難以擴展。它們還需要大量的時間、金錢和精力來創建和維護。此外，它通常不允許許多流程同時運行，這會對繁忙時期的公司績效產生負面影響。先進的資料管道以傳統系統成本的一小部分提供即時彈性，創造了廣泛的市場成長機會。

工人能力不足

組織必須使用尖端的資料管道技術來收集和整合來自各種內部和外部資料源的大量資料，消除資訊孤島，並提供有價值的商業智慧，但這是不可能的。員工由於缺乏知識和能力而無法採用資料管道解決方案。由於企業經常在孤島中工作，因此越來越需要資料管道來充分了解不同的應用程式和行業。根據大量研究和出版物，經常調查組織的員工沒有足夠的知識和技能，這阻礙了市場的成長。

COVID-19 的影響：

COVID-19的爆發對資料研發線產品市場產生了積極影響。隨著大多數人開始採取在家工作的生活方式，影片、音訊、電子郵件和其他網際網路平台上存在大量的組織化、半結構化和非結構化資料。已產生。隨著全球資料損壞事件的增加，該技術也越來越受歡迎。特別是自 COVID-19大流行以來，產生的資料量急劇增加。因此，工具旨在保護資料流並減少資料損壞的可能性。因此，上述原因加速了資料管道產業的擴張。

流資料管道部分預計將在預測期內成為最大的部分

預計流資料管道部分的使用量將出現良好成長。資料湖、資料倉儲、訊息傳遞系統和資料流都可以使用流資料管道公開。串流資料管道透過將資料從本地系統串流傳輸到雲端資料倉儲進行即時分析、ML 建模、彙報和 BI 儀表板，幫助企業獲得富有洞察力的資訊。處理和儲存彈性、敏捷性和成本效率都是將負載遷移到雲端的好處。

預計中小企業領域在預測期內年複合成長率最高

由於印度、美國、美國、法國和義大利等國家中小企業的廣泛存在，預計中小企業領域在預測期內將出現最高的年複合成長率年成長率。為了製定成長計劃並成功與更大的競爭競爭，小型企業可以利用資料做出重要的業務選擇。中小企業是工業成長甚至整體經濟發展的強大力量，特別是在新興國家和轉型國家。透過利用資料洞察，中小型企業部門正在消除只有大公司才能廣泛利用資料的神話。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。影響北美行業的主要變數是大量資料的快速傳輸以及可靠資料的後續發展。資料管道系統被美國和加拿大的各種工商組織用來簡化業務、降低資料安全性並促進地區經濟成長。

複合年複合成長率最高的地區：

由於技術創新的不斷發展以及人工智慧（AI）和機器學習（ML）等新技術的出現，預計歐洲在預測期內將出現最高的年複合成長率。在英國和法國，透過單一整合不同來源的不同資料的願望日益成長，促使對資料管道和整合的需求不斷增加，從而促使預測期內的市場成長，預計將成為推動力。

提供免費客製化：

訂閱此報告的客戶將收到以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 產品分析
  • 用途分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球資料管道工具市場：依產品類型

  • ELT資料管道
  • ETL資料管道
  • 串流資料管道
  • 大量資料管道
  • 變更資料擷取管道 (CDC)
  • 其他產品類型

第6章 全球資料管道工具市場：依組成部分

  • 工具
    • 批量處理
    • 串流媒體
  • 服務
    • 支援與維護
    • 諮詢
    • 部署與整合
    • 策略與架構
    • 設計開發
  • 其他組件

第7章 全球資料管道工具市場：依部署模式

  • 雲
  • 本地

第8章 全球資料管道工具市場：依組織規模

  • 主要企業
  • 中小企業

第9章 全球資料管道工具市場：依用途

  • 預測性維護
  • 客戶體驗管理
  • 銷售和行銷資料
  • 即時分析
  • 客戶關係管理
  • 資料遷移
  • 資料流量管理
  • 其他用途

第10章 全球資料管道工具市場：依最終使用者分類

  • BFSI
  • 能源和公共
  • 政府和國防
  • 醫療保健和生命科學
  • 資訊科技與資訊科技服務
  • 製造業
  • 其他行業
  • 零售與電子商務
  • 電訊
  • 運輸和物流
  • 其他最終用戶

第11章全球資料管道工具市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章公司簡介

  • 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
  • Tibco Software, Inc.
Product Code: SMRC23746

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
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • 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
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • 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

  • Table 1 Global Data Pipeline Tools Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Pipeline Tools Market Outlook, By Product Type (2021-2030) ($MN)
  • Table 3 Global Data Pipeline Tools Market Outlook, By ELT Data Pipeline (2021-2030) ($MN)
  • Table 4 Global Data Pipeline Tools Market Outlook, By ETL Data Pipeline (2021-2030) ($MN)
  • Table 5 Global Data Pipeline Tools Market Outlook, By Streaming Data Pipeline (2021-2030) ($MN)
  • Table 6 Global Data Pipeline Tools Market Outlook, By Batch Data Pipeline (2021-2030) ($MN)
  • Table 7 Global Data Pipeline Tools Market Outlook, By Change Data Capture Pipeline (CDC) (2021-2030) ($MN)
  • Table 8 Global Data Pipeline Tools Market Outlook, By Other Product Types (2021-2030) ($MN)
  • Table 9 Global Data Pipeline Tools Market Outlook, By Component (2021-2030) ($MN)
  • Table 10 Global Data Pipeline Tools Market Outlook, By Tools (2021-2030) ($MN)
  • Table 11 Global Data Pipeline Tools Market Outlook, By Batch Processing (2021-2030) ($MN)
  • Table 12 Global Data Pipeline Tools Market Outlook, By Streaming (2021-2030) ($MN)
  • Table 13 Global Data Pipeline Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 14 Global Data Pipeline Tools Market Outlook, By Support & Maintainance (2021-2030) ($MN)
  • Table 15 Global Data Pipeline Tools Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 16 Global Data Pipeline Tools Market Outlook, By Deployment & Integration (2021-2030) ($MN)
  • Table 17 Global Data Pipeline Tools Market Outlook, By Strategy & Architecture (2021-2030) ($MN)
  • Table 18 Global Data Pipeline Tools Market Outlook, By Design & Development (2021-2030) ($MN)
  • Table 19 Global Data Pipeline Tools Market Outlook, By Other Components (2021-2030) ($MN)
  • Table 20 Global Data Pipeline Tools Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 21 Global Data Pipeline Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 22 Global Data Pipeline Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 23 Global Data Pipeline Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 24 Global Data Pipeline Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 25 Global Data Pipeline Tools Market Outlook, By Small And Medium Enterprises (2021-2030) ($MN)
  • Table 26 Global Data Pipeline Tools Market Outlook, By Application (2021-2030) ($MN)
  • Table 27 Global Data Pipeline Tools Market Outlook, By Predictive Maintenance (2021-2030) ($MN)
  • Table 28 Global Data Pipeline Tools Market Outlook, By Customer Experience Management (2021-2030) ($MN)
  • Table 29 Global Data Pipeline Tools Market Outlook, By Sales And Marketing Data (2021-2030) ($MN)
  • Table 30 Global Data Pipeline Tools Market Outlook, By Real-Time Analytics (2021-2030) ($MN)
  • Table 31 Global Data Pipeline Tools Market Outlook, By Customer Relationship Management (2021-2030) ($MN)
  • Table 32 Global Data Pipeline Tools Market Outlook, By Data Migration (2021-2030) ($MN)
  • Table 33 Global Data Pipeline Tools Market Outlook, By Data Traffic Management (2021-2030) ($MN)
  • Table 34 Global Data Pipeline Tools Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 35 Global Data Pipeline Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 36 Global Data Pipeline Tools Market Outlook, By BFSI (2021-2030) ($MN)
  • Table 37 Global Data Pipeline Tools Market Outlook, By Energy & Utilities (2021-2030) ($MN)
  • Table 38 Global Data Pipeline Tools Market Outlook, By Government & Defense (2021-2030) ($MN)
  • Table 39 Global Data Pipeline Tools Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
  • Table 40 Global Data Pipeline Tools Market Outlook, By IT and ITeS (2021-2030) ($MN)
  • Table 41 Global Data Pipeline Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 42 Global Data Pipeline Tools Market Outlook, By Other Verticals (2021-2030) ($MN)
  • Table 43 Global Data Pipeline Tools Market Outlook, By Retail & eCommerce (2021-2030) ($MN)
  • Table 44 Global Data Pipeline Tools Market Outlook, By Telecom (2021-2030) ($MN)
  • Table 45 Global Data Pipeline Tools Market Outlook, By Transportation & Logistics (2021-2030) ($MN)
  • Table 46 Global Data Pipeline Tools Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.