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Data Wrangling Market Analysis (2017-2018) in APAC, Forecast to 2023 by Component, Business Function, Organization Size, Deployment Mode and Vertical
[July 02, 2018]

Data Wrangling Market Analysis (2017-2018) in APAC, Forecast to 2023 by Component, Business Function, Organization Size, Deployment Mode and Vertical


DUBLIN, July 2, 2018 /PRNewswire/ --

The "Asia Pacific Data Wrangling Market Analysis (2017-2023)" report has been added to ResearchAndMarkets.com's offering.

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The Asia Pacific Data Wrangling Market is expected to witness market growth of 19.1% CAGR during the forecast period (2017-2023).

Major APAC countries, such as Australia and New Zealand, China, Singapore, and Japan, have a boom of start-ups with big data and analytics as their platforms. With growing smart cities in the region and rapid adoption of IoT devices, the APAC region is expected to witness tremendous growth during the forecast period.

Various types of data related to patients, such as personal information pertaining to disease, treatment, medical history, and payment data are generated, with the need to be cleansed, prepared and set in an appropriate format to conduct data analysis.

Data wrangling tools is expected to witness significant uptake due to digitalization in the healthcare and life sciences verticals. With appropriate tools, data can be cleaned, de-duplicated and formatted to investigate and analyze such datasets within the healthcare setup.

Based on Component, the Data Wrangling market segments the market into Tools and Services. The Services market is segmented into Professional and Managed Services.

Based on Business Function, the market report segments the market into Finance, Sales & Marketing, Human Resource, Operations, and Others.

Based on Organization Size, the Data Wrangling market segments the market into Small & Medium Enterprises and Large Enterprises.

Based on Deployment Mode, the market report segments the market into On Demand and On-Premise.

Based on Vertical, the Data Wrangling market segments the market into BFSI, Government & Public Sector, Energy & Utilities, Healthcare, Manufacturing, Retail, Telecom & IT, Travel & Hospitality, and Others.

Based on Countries, the Data Wrangling market segments the market into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.


Key Topics Covered

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 Wrangling Market, by Component
1.4.2 Asia Pacific Data Wrangling Market, by Business Function
1.4.3 Asia Pacific Data Wrangling Market, by Organization Size
1.4.4 Asia Pacific Data Wrangling Market, by Deployment Mode
1.4.5 Asia Pacific Data Wrangling Market, by Vertical
1.4.6 Asia Pacific Data Wrangling Market, by Country
1.5 Methodology for the research

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Segmental Analysis
2.1.1.1 Market By Component
2.1.1.2 Market By Business Function
2.1.1.3 Market By Organization Size
2.1.1.4 Market By Deployment Type
2.1.1.5 Market By Vertical
2.1.1.6 Market By Country
2.2 Drivers, and Restraints
2.2.1 Market Drivers
2.2.2 Market Restraints

Chapter 3. Asia Pacific Data Wrangling Market
3.1 Asia Pacific Data Wrangling Market by Component
3.1.1 Asia Pacific Data Wrangling Tools Market by Country
3.1.2 Asia Pacific Data Wrangling Services Market by Country
3.1.3 Asia Pacific Data Wrangling Market by Service Type
3.1.3.1 Asia Pacific Data Wrangling Professional Services Market by Country
3.1.3.2 Asia Pacific Data Wrangling Managed Services Market by Country

Chapter 4. Asia Pacific Data Wranglin Market by Business Function



4.1 Introduction
4.1.1 Asia Pacific Finance Data Wrangling Market by Country
4.1.2 Asia Pacific Sales & Marketing Data Wrangling Market by Country
4.1.3 Asia Pacific Human Resource Data Wrangling Market by Country
4.1.4 Asia Pacific Operations Data Wrangling Market by Country
4.1.5 Asia Pacific Others Data Wrangling Market by Country

Chapter 5. Asia Pacific Data Wrangling Market by Organization Size
5.1 Introduction
5.1.1 Asia Pacific Small & Medium Enterprises Data Wrangling Market by Country
5.1.2 Asia Pacific Large Enterprises Data Wrangling Market by Country


Chapter 6. Asia Pacific Data Wrangling Market by Deployment Type
6.1 Introduction
6.1.1 Asia Pacific On Demand Deployment Data Wrangling Market by Country
6.1.2 Asia Pacific On-Premise Deployment Data Wrangling Market by Country

Chapter 7. Asia Pacific Data Wrangling Market by Vertical
7.1 Introduction
7.1.1 Asia Pacific Data Wrangling in BFSI Market by Country
7.1.2 Asia Pacific Data Wrangling in Government & Public Sector Market by Country
7.1.3 Asia Pacific Data Wrangling in Energy & Utilities Market by Country
7.1.4 Asia Pacific Data Wrangling in Healthcare Market by Country
7.1.5 Asia Pacific Data Wrangling in Manufacturing Market by Country
7.1.6 Asia Pacific Data Wrangling in Retail Market by Country
7.1.7 Asia Pacific Data Wrangling in Telecom & IT Market by Country
7.1.8 Asia Pacific Data Wrangling in Travel & Hospitality Market by Country
7.1.9 Asia Pacific Data Wrangling in Others Market by Country

Chapter 8. Asia Pacific Data Wrangling Market by Country
8.1 Introduction
8.2 China Data Wrangling Market
8.2.1 China Data Wrangling Market by Component
8.2.1.1 China Data Wrangling Market by Services Type
8.2.2 China Data Wrangling Market by Business Function
8.2.3 China Data Wrangling Market by Organization Size
8.2.4 China Data Wrangling Market by Deployment Type
8.2.5 China Data Wrangling Market by Vertical
8.3 Japan Data Wrangling Market
8.3.1 Japan Data Wrangling Market by Component
8.3.1.1 Japan Data Wrangling Market by Services Type
8.3.2 Japan Data Wrangling Market by Business Function
8.3.3 Japan Data Wrangling Market by Organization Size
8.3.4 Japan Data Wrangling Market by Deployment Type
8.3.5 Japan Data Wrangling Market by Vertical
8.4 India Data Wrangling Market
8.4.1 India Data Wrangling Market by Component
8.4.1.1 India Data Wrangling Market by Services Type
8.4.2 India Data Wrangling Market by Business Function
8.4.3 India Data Wrangling Market by Organization Size
8.4.4 India Data Wrangling Market by Deployment Type
8.4.5 India Data Wrangling Market by Vertical
8.5 South Korea Data Wrangling Market
8.5.1 South Korea Data Wrangling Market by Component
8.5.1.1 South Korea Data Wrangling Market by Services Type
8.5.2 South Korea Data Wrangling Market by Business Function
8.5.3 South Korea Data Wrangling Market by Organization Size
8.5.4 South Korea Data Wrangling Market by Deployment Type
8.5.5 South Korea Data Wrangling Market by Vertical
8.6 Singapore Data Wrangling Market
8.6.1 Singapore Data Wrangling Market by Component
8.6.1.1 Singapore Data Wrangling Market by Services Type
8.6.2 Singapore Data Wrangling Market by Business Function
8.6.3 Singapore Data Wrangling Market by Organization Size
8.6.4 Singapore Data Wrangling Market by Deployment Type
8.6.5 Singapore Data Wrangling Market by Vertical
8.7 Malaysia Data Wrangling Market
8.7.1 Malaysia Data Wrangling Market by Component
8.7.1.1 Malaysia Data Wrangling Market by Services Type
8.7.2 Malaysia Data Wrangling Market by Business Function
8.7.3 Malaysia Data Wrangling Market by Organization Size
8.7.4 Malaysia Data Wrangling Market by Deployment Type
8.7.5 Malaysia Data Wrangling Market by Vertical
8.8 Rest of Asia Pacific Data Wrangling Market
8.8.1 Rest of Asia Pacific Data Wrangling Market by Component
8.8.1.1 Rest of Asia Pacific Data Wrangling Market by Services Type
8.8.2 Rest of Asia Pacific Data Wrangling Market by Business Function
8.8.3 Rest of Asia Pacific Data Wrangling Market by Organization Size
8.8.4 Rest of Asia Pacific Data Wrangling Market by Deployment Type
8.8.5 Rest of Asia Pacific Data Wrangling Market by Vertical

Chapter 9. Competitive Study
9.1 Cardinal Matrix
9.2 Recent Industry Wide Strategic Developments
9.2.1 Partnerships, Collaborations and Agreements
9.2.2 Product Launches
9.2.3 Mergers & Acquisitions

Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Strategies at a Glance
10.1.5.1 Product Launch
10.2 Oracle Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Strategies at a Glance
10.2.5.1 Product Launch
10.3 Talend, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Strategies at a Glance
10.3.5.1 Product Launch
10.4 TIBCO Software Inc.
10.4.1 Company Overview
10.4.2 Strategies at a Glance
10.4.2.1 Product Launch
10.4.2.2 Mergers & Acquisitions
10.4.2.3 Partnerships, Collaborations and Agreements
10.5 Informatica
10.5.1 Company Overview
10.5.2 Strategies at a Glance
10.5.2.1 Product Launch
10.5.2.2 Partnerships, Collaborations and Agreements
10.6 Hitachi Ltd. (Hitachi Vantara)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.7 SAS Institute, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.8 Trifacta
10.8.1 Company Overview
10.8.2 Strategies at a Glance
10.8.2.1 Product Launch
10.8.2.2 Partnerships, Collaborations and Agreements
10.9 Teradata Corporation
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Strategies at a Glance
10.9.5.1 Product Launch
10.1 Datawatch Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Regional Analysis
10.10.4 Research & Development Expense
10.10.5 Strategies at a Glance
10.10.5.1 Product Launch
10.10.5.2 Partnerships, Collaborations and Agreements

For more information about this report visit https://www.researchandmarkets.com/research/mt32dj/data_wrangling?w=5
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