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市场调查报告书
商品编码
1351059

到 2030 年资料管道工具的市场预测：按细分市场和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球资料管道工具市场规模将达到 84 亿美元，预计到 2030 年将达到 345 亿美元，预测期内年复合成长率为 22.3%。

资料管道是用于分析、资料科学、人工智慧 (AI) 和机器学习的专用解决方案，可让您将资料从一个系统移至另一个系统以供使用。资料管道的基本功能是从来源取得资料，应用转换和处理规则，并将资料传递到需要的地方。资料从收集或储存的主要位置流向辅助位置，在辅助位置透过资料管道与其他资料输入合併。出于安全和隐私考虑，许多公司将资料保存在本地系统中。这些公司有时也需要资料管道技术。

根据 Software AG 的研究，全球有 78 亿人，每个人每天产生 2.5 亿位元组的资料。资料管道将原始资讯转化为适合洞察、应用、机器学习和人工智慧 (AI) 系统的资料。

更多组织使用进阶资料管道工具以提高云端弹性

有需要的企业必须随时可以存取资料。传统管道要求企业内的许多团队都可以存取资料。故障和故障也可能同时发生。企业需要快速且经济地扩展资料储存和处理能力，而不是几天或几週。传统资料管道通常弹性、不精确、缓慢、难以调试且难以扩展。生产和管理需要大量的时间、金钱和精力。此外，许多程式往往不相容，影响公司的高峰业务。因此，尖端的管道技术以传统系统成本的一小部分提供了即时的云端弹性。

业务流程中缺乏资料访问

资料是资料主导组织中决策和业务运营的主要引擎。特别是在基础设施升级、併购、重组、迁移等过程中，资料可能会变得不准确或不完整。客户投诉和分析结果下降只是缺乏资料存取可能为公司带来的部分成本。资料工程师花费大量精力来升级、维护和检验此类管道的完整性。因此，市场受到上述问题的阻碍。

需要弹性来满足需求激增

企业需要能够在资料时存取资料。当企业内的多个组织同时请求资料存取时，传统管道可能会遇到关闭和中断。企业需要能够快速、经济地扩展资料储存和处理能力，而不是在几天或几週内。传统资料管道通常僵化、缓慢、容易出错、难以排除故障且难以扩展。它们还需要大量的时间、金钱和精力来创建和维护。此外，它通常不允许许多流程同时运行，这会对繁忙时期的公司绩效产生负面影响。先进的资料管道以传统系统成本的一小部分提供即时弹性，创造了广泛的市场成长机会。

工人能力不足

组织必须使用尖端的资料管道技术来收集和整合来自各种内部和外部资料源的大量资料，消除资讯孤岛，并提供有价值的商业智能，但这是不可能的。员工由于缺乏知识和能力而无法采用资料管道解决方案。由于企业经常在孤岛中工作，因此越来越需要资料管道来充分了解不同的应用程式和行业。根据大量研究和出版物，经常调查组织的员工没有足够的知识和技能，这阻碍了市场的成长。

COVID-19 的影响：

COVID-19的爆发对资料研发线产品市场产生了积极影响。随着大多数人开始采取在家工作的生活方式，影片、音讯、电子邮件和其他互联网平台上存在大量的组织化、半结构化和非结构化资料。已产生。随着全球资料损坏事件的增加，该技术也越来越受欢迎。特别是自 COVID-19大流行以来，产生的资料量急剧增加。因此，工具旨在保护资料流并减少资料损坏的可能性。因此，上述原因加速了资料管道产业的扩张。

流资料管道部分预计将在预测期内成为最大的部分

预计流资料管道部分的使用量将出现良好成长。资料湖、资料仓储、讯息传递系统和资料流都可以使用流资料管道公开。串流资料管道透过将资料从本地系统串流传输到云端资料仓储进行即时分析、ML 建模、彙报和 BI 仪表板，帮助企业获得富有洞察力的资讯。处理和储存弹性、敏捷性和成本效率都是将负载迁移到云端的好处。

预计中小企业领域在预测期内年复合成长率最高

由于印度、美国、美国、法国和义大利等国家中小企业的广泛存在，预计中小企业领域在预测期内将出现最高的年复合成长率年增长率。为了製定成长计划并成功与更大的竞争竞争，小型企业可以利用资料做出重要的业务选择。中小企业是工业成长甚至整体经济发展的强大力量，特别是在新兴国家和转型国家。透过利用资料洞察，中小型企业部门正在消除只有大公司才能广泛利用资料的神话。

占比最大的地区：

在预测期内，北美预计将占据最大的市场占有率。影响北美行业的主要变数是大量资料的快速传输以及可靠资料的后续发展。资料管道系统被美国和加拿大的各种工商组织用来简化业务、降低资料安全性并促进地区经济成长。

复合年复合成长率最高的地区：

由于技术创新的不断发展以及人工智慧（AI）和机器学习（ML）等新技术的出现，预计欧洲在预测期内将出现最高的年复合成长率。在英国和法国，透过单一整合不同来源的不同资料的愿望日益增长，导致对资料管道和整合的需求不断增加，从而导致预测期内的市场成长，预计将成为推动力。

提供免费客製化：

订阅此报告的客户将收到以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 用途分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球资料管道工具市场：依产品类型

  • ELT资料管道
  • ETL资料管道
  • 串流资料管道
  • 大量资料管道
  • 变更资料撷取管道 (CDC)
  • 其他产品类型

第6章全球资料管道工具市场：按组成部分

  • 工具
    • 批量处理
    • 串流媒体
  • 服务
    • 支援与维护
    • 咨询
    • 部署与整合
    • 策略与架构
    • 设计开发
  • 其他组件

第7章全球资料管道工具市场：依部署模式

  • 云
  • 本地

第8章全球资料管道工具市场：依组织规模

  • 大公司
  • 中小企业

第9章全球资料管道工具市场：依用途

  • 预测性维护
  • 客户体验管理
  • 销售和行销资料
  • 即时分析
  • 客户关係管理
  • 资料迁移
  • 资料流量管理
  • 其他用途

第10章全球资料管道工具市场：依最终使用者分类

  • BFSI
  • 能源和公共
  • 政府和国防
  • 医疗保健和生命科学
  • 资讯科技与资讯科技服务
  • 製造业
  • 其他行业
  • 零售与电子商务
  • 电讯
  • 运输和物流
  • 其他最终用户

第11章全球资料管道工具市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第12章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第13章公司简介

  • 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.