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预计到资料开发平台工具的全球市场:各零件 (工具，服务)、工具的各类型、各用途、各部署方式、各组织规模、各产业、各地区的未来预测 (2027年)
市场调查报告书
商品编码
1140427

预计到资料开发平台工具的全球市场:各零件 (工具，服务)、工具的各类型、各用途、各部署方式、各组织规模、各产业、各地区的未来预测 (2027年)

Data Pipeline Tools Market by Component (Tools and Services), Tool Type (ETL Data Pipeline, ELT Data Pipeline, Streaming Data Pipeline, & Batch Data Pipeline), Application, Deployment Mode, Organization Size, Vertical & Region - Global Forecast -2027
出版日期: | 出版商: MarketsandMarkets | 英文 278 Pages | 订单完成后即时交付

价格
简介目录

全球资料开发平台工具市场，预计从2022年的69亿美元到2027年达176亿美元，在预测期间内预计以20.3％的年复合成长率成长。

所谓资料开发平台，是为了处理原始资料所使用的操作、设备、手法的群组。资料开发平台工具的市场，由于巨量资料，IoT等其他技术的整合，达成很大的发展。

在各类型中，ETL (提取、转换、写入) 资料开发平台的市场区隔在预测期间内预计显示最高年复合成长率。在各地区中，在预测期间内北美占最大的市场规模。

本报告提供全球资料开发平台工具的市场相关分析，市场基本结构和最新形势，主要的推动及阻碍市场要素，各零件、各组织规模、各部署方式、各类型、各用途、各产业、各地区的市场趋势预测，市场竞争的状态，主要企业简介等调查。

目录

第1章 简介

第2章 调查手法

第3章 摘要整理

第4章 重要考察

第5章 市场概要和趋势

  • 简介
  • 市场动态
  • 资料开发平台工具:演进
  • 生态系统
  • 案例研究分析
  • 供应链分析
  • 波特的五力分析
  • 价格分析
  • 专利分析
  • 技术分析
    • 人工智慧
    • 机器学习
    • IoT
    • 云端运算
    • 巨量资料
  • 主要的会议与活动
  • 关税与法规状况
  • 主要的利害关係者与购买标准

第6章 资料开发平台工具市场:各零件

  • 简介
  • 工具
  • 服务

第7章 资料开发平台工具市场:各组织规模

  • 简介
  • 大企业
  • 中小企业

第8章 资料开发平台工具市场:各部署方式

  • 简介
  • 内部部署
  • 云端

第9章 资料开发平台工具市场:各类型

  • 简介
  • ELT资料开发平台
  • ETL资料开发平台
  • 串流资料开发平台
  • 批次式资料开发平台
  • 变更资料撷取 (CDC) 开发平台

第10章 资料开发平台工具市场:各用途

  • 简介
  • 即时分析、预知保全
  • 销售、行销资料
  • CUSTOMER 360、顾客关係管理 (CRM)
  • 客户体验 (CX) 管理
  • 资料转移
  • 其他的用途

第11章 资料开发平台工具市场:各产业

  • 简介
  • 银行、金融服务、保险 (BFSI)
  • 零售业、电子商务
  • 政府、防卫
  • 医疗、生命科学
  • IT、ITES
  • 能源、公共事业
  • 通讯
  • 製造业
  • 运输、物流
  • 其他的产业

第12章 资料开发平台工具市场:各地区

  • 简介
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 其他的欧洲各国
  • 亚太地区
    • 中国
    • 泰国
    • 缅甸
    • 越南
    • 日本
    • 印度
    • 其他的亚太地区各国
  • 中东、非洲
    • 中东
    • 非洲
  • 南美
    • 巴西
    • 墨西哥
    • 其他的南美各国

第13章 竞争情形

  • 概要
  • 主要企业采用的策略
  • 收益分析
  • 市场占有率分析
  • 企业评估象限
  • Start-Ups/中小企业的评估矩阵
  • 竞争基准
  • 竞争模式
    • 产品的销售
    • 资本交易
    • 其他

第14章 企业简介

  • 主要企业
    • GOOGLE
    • IBM
    • MICROSOFT
    • AWS
    • SAP
    • ORACLE
    • ALTERYX
    • INFORMATICA
    • ACTIAN
    • TALEND
    • DENODO TECHNOLOGIES
    • SNOWFLAKE
    • SOFTWARE AG
    • HITACHI VANTARA
    • QLIK
    • TIBCO
    • HEVO DATA
    • ADEPTIA
    • SNAPLOGIC
    • K2VIEW
    • PRECISELY
    • TAPCLICKS
    • RIVERY.IO
  • Start-Ups/中小企业
    • GATHR
    • CONFLUENT
    • ESTUARY FLOW
    • BLENDO
    • INTEGRATE.IO
    • FIVETRAN

第15章 邻接、相关市场

  • 简介
  • 全球资料整合市场:未来预测 (到2026年)
  • 全球巨量资料市场:未来预测 (到2026年)

第16章 附录

简介目录
Product Code: TC 8176

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 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY VERTICAL
    • FIGURE 18 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO BE LARGEST VERTICAL DURING FORECAST PERIOD
  • 4.3 DATA PIPELINE TOOLS MARKET, BY REGION
    • FIGURE 19 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET BY 2027
  • 4.4 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 28 SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 19 DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 20 DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 31 SMALL- & MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 35 DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 36 DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 32 CLOUD DEPLOYMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 41 DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 42 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 44 ON-PREMISE DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 46 CLOUD-BASED DATA PIPELINE TOOLS MARKET, BY REGION, 2022-2027 (USD MILLION)

9 DATA PIPELINE TOOLS MARKET, BY TYPE

  • 9.1 INTRODUCTION
    • 9.1.1 TYPE: DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 50 ELT DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 52 ETL DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 56 BATCH DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 34 CUSTOMER EXPERIENCE MANAGEMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 59 DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 60 DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 35 HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 73 DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 74 DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET DRIVERS
    • FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 97 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 98 NORTH AMERICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 103 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 104 NORTH AMERICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 108 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 109 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 110 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 111 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 112 NORTH AMERICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 114 EUROPE: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 118 EUROPE: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 119 EUROPE: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 120 EUROPE: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 125 EUROPE: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 126 EUROPE: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 127 EUROPE: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 128 EUROPE: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 130 ASIA PACIFIC: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 134 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 135 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 136 ASIA PACIFIC: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 141 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 142 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 143 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 144 ASIA PACIFIC: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 146 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 150 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 151 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 152 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 157 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 158 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 159 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY SUBREGION, 2016-2021 (USD MILLION)
    • TABLE 160 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 162 LATIN AMERICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 166 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 167 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 168 LATIN AMERICA: DATA PIPELINE TOOLS 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: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • TABLE 173 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 174 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 175 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
    • TABLE 176 LATIN AMERICA: DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET SHARE ANALYSIS FOR KEY PLAYERS IN 2022
    • TABLE 178 DATA PIPELINE TOOLS 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 DATA PIPELINE TOOLS MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 180 DATA PIPELINE TOOLS 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 MnM 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 MnM 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: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS