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Asia Pacific Data Science Platform Market By Component, By Deployment Type, By Enterprise Size, By Application, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 139 Pages
  • November 2020
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5214489
The Asia Pacific Data Science Platform Market is expected to witness market growth of 29% CAGR during the forecast period (2020-2026).

The data science platform includes the software hub around which all sorts of data science work happens, including integrating and exploring data from different sources, coding, and building models. It additionally uses the data, installs models into production, and presents results through model-fueled applications or reports. It permits data researchers inside a solitary environment to find noteworthy insights from data, plan a strategy, and in communicating the collected data throughout an enterprise.

Data science has become very important for business today. As the quantity of instruments, models, and model makers is expanding, the requirement for a uniform data science platform that can give complete solutions is expanding. To comprehend which instrument to utilize when and manage the complex nature related to dealing with a huge amount of data and gain adaptability, the adoption of these platforms is expanding. These platforms are giving organizations an end-to-end process of managing, deploying, and making analytics models in a collaborative and open environment.

Moreover, the outbreak of the COVID-19 pandemic has also affected the market immensely. The rise of new data and data patterns has changed the market situation. Apart from changing data analytics models, it has given a wide opportunity to data researchers to utilize advanced instruments and procedures to assist organizations with making better choices in the uncertain and speedy environment which also has a lack of data. Additionally, data science platforms have helped a few organizations in harnessing insights from the data and accelerate the process of medical research.

Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. 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 theanalysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.

Scope of the Study

Market Segmentation:

By Component
  • Platform (Without Services)
  • Services

By Deployment Type
  • On-premises
  • Cloud

By Enterprise Size
  • Large Enterprise
  • Small & Medium Enterprise

By Application
  • Marketing & Sales
  • Logistics
  • Customer Support
  • Finance & Accounting
  • Others

By End User
  • BFSI
  • Energy & Utilities
  • Healthcare
  • Retail & eCommerce
  • Government & Defense
  • IT & Telecommunication
  • Manufacturing
  • Others

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

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Unique Offerings from the Publisher
  • Exhaustive coverage
  • 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 Science Platform Market, by Component
1.4.2 Asia Pacific Data Science Platform Market, by Deployment Type
1.4.3 Asia Pacific Data Science Platform Market, by Enterprise Size
1.4.4 Asia Pacific Data Science Platform Market, by Application
1.4.5 Asia Pacific Data Science Platform Market, by End User
1.4.6 Asia Pacific Data Science Platform Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 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 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 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2017, Apr - 2020, Oct) Leading Players
Chapter 4. Asia Pacific Data Science Platform Market by Enterprise Size
4.1 Asia Pacific Data Science Platform Large Enterprise Market by Country
4.2 Asia Pacific Data Science Platform Small & Medium Enterprise Market by Country
Chapter 5. Asia Pacific Data Science Platform Market by Industry Vertical
5.1 Asia Pacific BFSI Data Science Platform Market by Country
5.2 Asia Pacific Energy & Utilities Data Science Platform Market by Country
5.3 Asia Pacific Healthcare Data Science Platform Market by Country
5.4 Asia Pacific Retail & eCommerce Data Science Platform Market by Country
5.5 Asia Pacific Government & Defense Data Science Platform Market by Country
5.6 Asia Pacific IT & Telecommunication Data Science Platform Market by Country
5.7 Asia Pacific Manufacturing Data Science Platform Market by Country
5.8 Asia Pacific Other Industry Vertical Data Science Platform Market by Country
Chapter 6. Asia Pacific Data Science Platform Market by Component
6.1 Asia Pacific Data Science Platform (Without Services) Market by Country
6.2 Asia Pacific Data Science Platform Services Market by Country
Chapter 7. Asia Pacific Data Science Platform Market by Deployment Type
7.1 Asia Pacific On-premises Data Science Platform Market by Country
7.2 Asia Pacific Cloud Data Science Platform Market by Country
Chapter 8. Asia Pacific Data Science Platform Market by Application
8.1 Asia Pacific Marketing & Sales Data Science Platform Market by Country
8.2 Asia Pacific Logistics Data Science Platform Market by Country
8.3 Asia Pacific Customer Support Data Science Platform Market by Country
8.4 Asia Pacific Finance & Accounting Data Science Platform Market by Country
8.5 Asia Pacific Others Data Science Platform Market by Country
Chapter 9. Asia Pacific Data Science Platform Market by Country
9.1 China Data Science Platform Market
9.1.1 China Data Science Platform Market by Enterprise Size
9.1.2 China Data Science Platform Market by Industry Vertical
9.1.3 China Data Science Platform Market by Component
9.1.4 China Data Science Platform Market by Deployment Type
9.1.5 China Data Science Platform Market by Application
9.2 Japan Data Science Platform Market
9.2.1 Japan Data Science Platform Market by Enterprise Size
9.2.2 Japan Data Science Platform Market by Industry Vertical
9.2.3 Japan Data Science Platform Market by Component
9.2.4 Japan Data Science Platform Market by Deployment Type
9.2.5 Japan Data Science Platform Market by Application
9.3 India Data Science Platform Market
9.3.1 India Data Science Platform Market by Enterprise Size
9.3.2 India Data Science Platform Market by Industry Vertical
9.3.3 India Data Science Platform Market by Component
9.3.4 India Data Science Platform Market by Deployment Type
9.3.5 India Data Science Platform Market by Application
9.4 South Korea Data Science Platform Market
9.4.1 South Korea Data Science Platform Market by Enterprise Size
9.4.2 South Korea Data Science Platform Market by Industry Vertical
9.4.3 South Korea Data Science Platform Market by Component
9.4.4 South Korea Data Science Platform Market by Deployment Type
9.4.5 South Korea Data Science Platform Market by Application
9.5 Singapore Data Science Platform Market
9.5.1 Singapore Data Science Platform Market by Enterprise Size
9.5.2 Singapore Data Science Platform Market by Industry Vertical
9.5.3 Singapore Data Science Platform Market by Component
9.5.4 Singapore Data Science Platform Market by Deployment Type
9.5.5 Singapore Data Science Platform Market by Application
9.6 Malaysia Data Science Platform Market
9.6.1 Malaysia Data Science Platform Market by Enterprise Size
9.6.2 Malaysia Data Science Platform Market by Industry Vertical
9.6.3 Malaysia Data Science Platform Market by Component
9.6.4 Malaysia Data Science Platform Market by Deployment Type
9.6.5 Malaysia Data Science Platform Market by Application
9.7 Rest of Asia Pacific Data Science Platform Market
9.7.1 Rest of Asia Pacific Data Science Platform Market by Enterprise Size
9.7.2 Rest of Asia Pacific Data Science Platform Market by Industry Vertical
9.7.3 Rest of Asia Pacific Data Science Platform Market by Component
9.7.4 Rest of Asia Pacific Data Science Platform Market by Deployment Type
9.7.5 Rest of Asia Pacific Data Science Platform Market by Application
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.1 Recent strategies and developments:
10.2.1.1 Partnerships, Collaborations, and Agreements:
10.2.1.2 Acquisition and Mergers:
10.2.1.3 Product Launches and Product Expansions:
10.2.2 SWOT Analysis
10.3 Google, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Acquisition and Mergers:
10.3.5.3 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.4.5.2 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Altair Engineering, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research and Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Alteryx, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.7 Cloudera, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.8 The MathWorks, Inc.
10.8.1 Company Overview
10.8.2 Recent strategies and developments:
10.8.2.1 Partnerships, Collaborations, and Agreements:
10.8.2.2 Product Launches and Product Expansions:
10.9 SAS Institute, Inc.
10.9.1 Company Overview
10.9.2 Recent strategies and developments:
10.9.2.1 Partnerships, Collaborations, and Agreements:
10.10. RapidMiner, Inc.
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Partnerships, Collaborations, and Agreements:
10.10.2.2 Product Launches and Product Expansions:

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Methodology

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