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Asia Pacific Data Pipeline Tools Market Size, Share & Industry Trends Analysis Report by Application, Vertical, Deployment Mode, Organization Size, Component (Tools and Services), Type, Country and Growth Forecast, 2022-2028

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    Report

  • 159 Pages
  • October 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5694501
The Asia Pacific Data Pipeline Tools Market should witness market growth of 20.2% CAGR during the forecast period (2022-2028).

A data pipeline may be a straightforward procedure for extracting and loading data, or it may be intended to handle data in a more complex fashion, like training datasets for AI or machine learning. Relational databases as well as data from SaaS apps can be data sources. The majority of pipelines acquire raw data from many sources using a push mechanism, an API request, a replication mechanism that pulls data at periodic intervals, or a webhook.

Additionally, the data can be synchronized concurrently or at predetermined intervals. A destination may be a data repository - for example, a cloud-based or on-premises data warehouse, a data lake, or a data mart - or a BI or analytics application. Many businesses construct their own data pipelines. For instance, Spotify created a pipeline to evaluate its data and comprehend user preferences. Its pipeline enables Spotify to determine which region has the largest user base and maps customer characteristics to music recommendations. Demand for tools transporting data from heterogeneous sources to the cloud or warehouse and the rise of cloud computing, which creates a demand for efficient data pipelines and practices, are the primary drivers of the market for data pipeline tools.

The demand-supply mismatch has necessitated greater capacity, and the Indian manufacturing industry is anticipated to present several investment and trade prospects. There is also a progressive movement in the emphasis of Indian industry towards manufacturing that is more automated and process-driven. Companies that were previously reliant on labour-intensive processes are now pursuing more automation to reduce risks and maximize output. With the higher integration of automation and technologies into supply chains, the demand for data pipeline tools would surge and this factor is anticipated to boost the growth of the regional market.

The China market dominated the Asia Pacific Data Pipeline Tools Market by Country in 2021; thereby, achieving a market value of $1,583.6 million by 2028. The Japan market is registering a CAGR of 19.5% during (2022-2028). Additionally, The India market would showcase a CAGR of 21% during (2022-2028).

Based on Application, the market is segmented into Real time Analytics & Predictive Maintenance, Customer Experience Management, Sales & Marketing Data, Customer 360 & Customer Relationship Management, Data Migration and Data Traffic Management & Others. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Telecom, Retail & eCommerce, Government & Defense, Healthcare & Life Sciences, Manufacturing, Energy & Utilities, Transportation & Logistics and Others. Based on Deployment Mode, the market is segmented into On-premise and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Component, the market is segmented into Tools and Services. Based on Type, the market is segmented into ETL Data Pipeline, Streaming Data Pipeline, Batch Data Pipeline, ELT Data Pipeline and Change Data Capture (CDC) Pipeline. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, IBM Corporation, Microsoft Corporation, Oracle Corporation (Cerner Corporation), Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, Software AG, Snowflake, Inc., Tibco Software, Inc. (Vista Equity Partners) and Precisely (Clearlake Capital Group)

Scope of the Study

By Application

  • Real time Analytics & Predictive Maintenance
  • Customer Experience Management
  • Sales & Marketing Data
  • Customer 360 & Customer Relationship Management
  • Data Migration
  • Data Traffic Management & Others

By Vertical

  • BFSI
  • IT & ITeS
  • Telecom
  • Retail & eCommerce
  • Government & Defense
  • Healthcare & Life Sciences
  • Manufacturing
  • Energy & Utilities
  • Transportation & Logistics
  • Others

By Deployment Mode

  • On-premise
  • Cloud

By Organization Size

  • Large Enterprises
  • SMEs

By Component

  • Tools
  • Services

By Type

  • ETL Data Pipeline
  • Streaming Data Pipeline
  • Batch Data Pipeline
  • ELT Data Pipeline
  • Change Data Capture (CDC) Pipeline

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • SAP SE
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation (Cerner Corporation)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • Software AG
  • Snowflake, Inc.
  • Tibco Software, Inc. (Vista Equity Partners)
  • Precisely (Clearlake Capital Group)

Unique Offerings

  • Exhaustive coverage
  • The highest number of market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Data Pipeline Tools Market, by Application
1.4.2 Asia Pacific Data Pipeline Tools Market, by Vertical
1.4.3 Asia Pacific Data Pipeline Tools Market, by Deployment Mode
1.4.4 Asia Pacific Data Pipeline Tools Market, by Organization Size
1.4.5 Asia Pacific Data Pipeline Tools Market, by Component
1.4.6 Asia Pacific Data Pipeline Tools Market, by Type
1.4.7 Asia Pacific Data Pipeline Tools Market, by Country
1.5 Research Methodology
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 The Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Partnerships, Collaborations & Agreements : 2018, Dec - 2022, Oct) Leading Players
Chapter 4. Asia Pacific Data Pipeline Tools Market by Application
4.1 Asia Pacific Real time Analytics & Predictive Maintenance Market by Country
4.2 Asia Pacific Customer Experience Management Market by Country
4.3 Asia Pacific Sales & Marketing Data Market by Country
4.4 Asia Pacific Customer 360 & Customer Relationship Management Market by Country
4.5 Asia Pacific Data Migration Market by Country
4.6 Asia Pacific Data Traffic Management & Others Market by Country
Chapter 5. Asia Pacific Data Pipeline Tools Market by Vertical
5.1 Asia Pacific BFSI Market by Country
5.2 Asia Pacific IT & ITeS Market by Country
5.3 Asia Pacific Telecom Market by Country
5.4 Asia Pacific Retail & eCommerce Market by Country
5.5 Asia Pacific Government & Defense Market by Country
5.6 Asia Pacific Healthcare & Life Sciences Market by Country
5.7 Asia Pacific Manufacturing Market by Country
5.8 Asia Pacific Energy & Utilities Market by Country
5.9 Asia Pacific Transportation & Logistics Market by Country
5.1 Asia Pacific Other Vertical Market by Country
Chapter 6. Asia Pacific Data Pipeline Tools Market by Deployment Mode
6.1 Asia Pacific On-premise Market by Country
6.2 Asia Pacific Cloud Market by Country
Chapter 7. Asia Pacific Data Pipeline Tools Market by Organization Size
7.1 Asia Pacific Large Enterprises Market by Country
7.2 Asia Pacific SMEs Market by Country
Chapter 8. Asia Pacific Data Pipeline Tools Market by Component
8.1 Asia Pacific Tools Market by Country
8.2 Asia Pacific Services Market by Country
Chapter 9. Asia Pacific Data Pipeline Tools Market by Type
9.1 Asia Pacific ETL Data Pipeline Market by Country
9.2 Asia Pacific Streaming Data Pipeline Market by Country
9.3 Asia Pacific Batch Data Pipeline Market by Country
9.4 Asia Pacific ELT Data Pipeline Market by Country
9.5 Asia Pacific Change Data Capture (CDC) Pipeline Market by Country
Chapter 10. Asia Pacific Data Pipeline Tools Market by Country
10.1 China Data Pipeline Tools Market
10.1.1 China Data Pipeline Tools Market by Application
10.1.2 China Data Pipeline Tools Market by Vertical
10.1.3 China Data Pipeline Tools Market by Deployment Mode
10.1.4 China Data Pipeline Tools Market by Organization Size
10.1.5 China Data Pipeline Tools Market by Component
10.1.6 China Data Pipeline Tools Market by Type
10.2 Japan Data Pipeline Tools Market
10.2.1 Japan Data Pipeline Tools Market by Application
10.2.2 Japan Data Pipeline Tools Market by Vertical
10.2.3 Japan Data Pipeline Tools Market by Deployment Mode
10.2.4 Japan Data Pipeline Tools Market by Organization Size
10.2.5 Japan Data Pipeline Tools Market by Component
10.2.6 Japan Data Pipeline Tools Market by Type
10.3 India Data Pipeline Tools Market
10.3.1 India Data Pipeline Tools Market by Application
10.3.2 India Data Pipeline Tools Market by Vertical
10.3.3 India Data Pipeline Tools Market by Deployment Mode
10.3.4 India Data Pipeline Tools Market by Organization Size
10.3.5 India Data Pipeline Tools Market by Component
10.3.6 India Data Pipeline Tools Market by Type
10.4 South Korea Data Pipeline Tools Market
10.4.1 South Korea Data Pipeline Tools Market by Application
10.4.2 South Korea Data Pipeline Tools Market by Vertical
10.4.3 South Korea Data Pipeline Tools Market by Deployment Mode
10.4.4 South Korea Data Pipeline Tools Market by Organization Size
10.4.5 South Korea Data Pipeline Tools Market by Component
10.4.6 South Korea Data Pipeline Tools Market by Type
10.5 Singapore Data Pipeline Tools Market
10.5.1 Singapore Data Pipeline Tools Market by Application
10.5.2 Singapore Data Pipeline Tools Market by Vertical
10.5.3 Singapore Data Pipeline Tools Market by Deployment Mode
10.5.4 Singapore Data Pipeline Tools Market by Organization Size
10.5.5 Singapore Data Pipeline Tools Market by Component
10.5.6 Singapore Data Pipeline Tools Market by Type
10.6 Malaysia Data Pipeline Tools Market
10.6.1 Malaysia Data Pipeline Tools Market by Application
10.6.2 Malaysia Data Pipeline Tools Market by Vertical
10.6.3 Malaysia Data Pipeline Tools Market by Deployment Mode
10.6.4 Malaysia Data Pipeline Tools Market by Organization Size
10.6.5 Malaysia Data Pipeline Tools Market by Component
10.6.6 Malaysia Data Pipeline Tools Market by Type
10.7 Rest of Asia Pacific Data Pipeline Tools Market
10.7.1 Rest of Asia Pacific Data Pipeline Tools Market by Application
10.7.2 Rest of Asia Pacific Data Pipeline Tools Market by Vertical
10.7.3 Rest of Asia Pacific Data Pipeline Tools Market by Deployment Mode
10.7.4 Rest of Asia Pacific Data Pipeline Tools Market by Organization Size
10.7.5 Rest of Asia Pacific Data Pipeline Tools Market by Component
10.7.6 Rest of Asia Pacific Data Pipeline Tools Market by Type
Chapter 11. Company Profiles
11.1 SAP SE
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent Strategies and Developments
11.1.5.1 Acquisition and Mergers
11.1.6 SWOT Analysis
11.2 IBM Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Regional & Segmental Analysis
11.2.4 Research & Development Expenses
11.2.5 Recent Strategies and Developments
11.2.5.1 Product Launches and Product Expansions
11.2.5.2 Acquisition and Mergers
11.2.6 SWOT Analysis
11.3 Microsoft Corporation
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expenses
11.3.5 Recent Strategies and Developments
11.3.5.1 Partnerships, Collaborations, and Agreements
11.3.5.2 Product Launches and Product Expansions
11.3.5.3 Acquisition and Mergers
11.3.6 SWOT Analysis
11.4 Oracle Corporation
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental and Regional Analysis
11.4.4 Research & Development Expense
11.4.5 Recent Strategies and Developments
11.4.5.1 Partnerships, Collaborations, and Agreements
11.4.6 SWOT Analysis
11.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental Analysis
11.5.4 Recent Strategies and Developments
11.5.4.1 Partnerships, Collaborations, and Agreements
11.5.5 SWOT Analysis
11.6 Google LLC
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expense
11.6.5 Recent Strategies and Developments
11.6.5.1 Partnerships, Collaborations, and Agreements
11.6.6 SWOT Analysis
11.7 Software AG
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 Recent Strategies and Developments
11.7.5.1 Mergers and Acquisitions
11.8 Snowflake, Inc.
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional Analysis
11.8.4 Research & Development Expenses
11.8.5 Recent Strategies and Developments
11.8.5.1 Partnerships, Collaborations, and Agreements
11.9 Tibco Software, Inc. (Vista Equity Partners)
11.9.1 Company Overview
11.9.2 Recent Strategies and Developments
11.9.2.1 Acquisition and Mergers
11.10. Precisely (Clearlake Capital Group)
11.10.1 Company Overview
11.10.2 Recent Strategies and Developments
11.10.2.1 Partnerships, Collaborations, and Agreements

Companies Mentioned

  • SAP SE
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation (Cerner Corporation)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • Software AG
  • Snowflake, Inc.
  • Tibco Software, Inc. (Vista Equity Partners)
  • Precisely (Clearlake Capital Group)

Methodology

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