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Asia-Pacific Big Data Analytics in Retail Market by Component, Deployment Type, Organization Size, Application and Country: Industry Analysis and Forecast 2020-2026

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    Report

  • 137 Pages
  • September 2020
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5174670
The Asia-Pacific Big Data Analytics in Retail Market is expected to witness market growth of 25.5% CAGR during the forecast period (2020-2026).

The retail industry gathers an enormous amount of information on sales and user shopping history. The amount of information gathered keeps on growing quickly, particularly because of the expanding ease, availability, and traction of the online business. Once, information is gathered, stored, prepared, and enhanced - big data analytics can assist in recognizing the behavior of a user, finding trends and patterns in user shopping, enhance the customer service quality, and accomplish greater retention and satisfaction of customers.

The quick development of the e-commerce sector, increasing need to use customer information for making data-driven business methodologies, multiplication of cutting-edge CRM systems among retail organizations, and growing investments on big data analytics tools are a portion of the elements that significantly support the development of the big data analytics in the retail market. Moreover, AI-based big data analytics in retail software are anticipated to observe popularity to help anticipate future patterns in the retail business. Demand for predicting analytics in retail is anticipated to offer rewarding opportunities for this market. Many individuals believe that great advertising is art. However recently, big data has launched a scientific component to various marketing campaigns.

Brilliant advertisers are presently depending on information like never before to educate, test, and devise their strategies. And however, data and analytic will never become the replacement of the imaginative minds behind the best marketing campaigns, it can give the advertisers the essential tools so that they can perform better. Consumers have 24-hour access to ample information related to the product, which has reformed the retail industry. With advanced and digital innovation getting universal, customers can make well-informed choices utilizing the online information and content to find, look at, and purchase items from anyplace and at any place.

Based on Component, the market is segmented into Software and Services. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Application, the market is segmented into Supply Chain Operations Management, Sales & Marketing Analytics, Customer Analytics, Merchandising Analytics 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 stakeholders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Salesforce.com, Inc., Adobe, Inc., Teradata Corporation, MicroStrategy, Inc., Alteryx, Inc., and Zoho Corporation Pvt. Ltd.

Market Segmentation

By Component
  • Software
  • Services

By Deployment Type
  • On-premise
  • Cloud

By Organization Size
  • Large Enterprises
  • Small & Medium Enterprises

By Application
  • Supply Chain Operations Management
  • Sales & Marketing Analytics
  • Customer Analytics
  • Merchandising Analytics
  • Others

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

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Teradata Corporation
  • MicroStrategy, Inc.
  • Alteryx, Inc.
  • Zoho Corporation Pvt. Ltd.

Unique Offerings
  • 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 Big Data Analytics in Retail Market, by Component
1.4.2 Asia-Pacific Big Data Analytics in Retail Market, by Deployment Type
1.4.3 Asia-Pacific Big Data Analytics in Retail Market, by Organization Size
1.4.4 Asia-Pacific Big Data Analytics in Retail Market, by Application
1.4.5 Asia-Pacific Big Data Analytics in Retail 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 Enhancements
3.2.3 Geographical Expansions
3.2.4 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Moves: (Partnerships, Collaborations, and Agreements: 2016, Aug to 2020, Jun) Leading Players
3.3.3 Key Strategic Moves: (Product Launches and Product Enhancements: 2017, Jan to 2020, Jul) Leading Players
Chapter 4. Asia-Pacific Big Data Analytics in Retail Market by Component
4.1 Asia-Pacific Big Data Analytics in Retail Software Market by Country
4.2 Asia-Pacific Big Data Analytics in Retail Services Market by Country
Chapter 5. Asia-Pacific Big Data Analytics in Retail Market by Deployment Type
5.1 Asia-Pacific On-premise Big Data Analytics in Retail Market by Country
5.2 Asia-Pacific Cloud Big Data Analytics in Retail Market by Country
Chapter 6. Asia-Pacific Big Data Analytics in Retail Market by Organization Size
6.1 Asia-Pacific Large Enterprises Big Data Analytics in Retail Market by Country
6.2 Asia-Pacific Small & Medium Enterprises Big Data Analytics in Retail Market by Country
Chapter 7. Asia-Pacific Big Data Analytics in Retail Market by Application
7.1 Asia-Pacific Supply Chain Operations Management Big Data Analytics in Retail Market by Country
7.2 Asia-Pacific Sales & Marketing Analytics Big Data Analytics in Retail Market by Country
7.3 Asia-Pacific Customer Analytics Big Data Analytics in Retail Market by Country
7.4 Asia-Pacific Merchandising Analytics Big Data Analytics in Retail Market by Country
7.5 Asia-Pacific Others Big Data Analytics in Retail Market by Country
Chapter 8. Asia-Pacific Big Data Analytics in Retail Market by Country
8.1 China Big Data Analytics in Retail Market
8.1.1 China Big Data Analytics in Retail Market by Component
8.1.2 China Big Data Analytics in Retail Market by Deployment Type
8.1.3 China Big Data Analytics in Retail Market by Organization Size
8.1.4 China Big Data Analytics in Retail Market by Application
8.2 Japan Big Data Analytics in Retail Market
8.2.1 Japan Big Data Analytics in Retail Market by Component
8.2.2 Japan Big Data Analytics in Retail Market by Deployment Type
8.2.3 Japan Big Data Analytics in Retail Market by Organization Size
8.2.4 Japan Big Data Analytics in Retail Market by Application
8.3 India Big Data Analytics in Retail Market
8.3.1 India Big Data Analytics in Retail Market by Component
8.3.2 India Big Data Analytics in Retail Market by Deployment Type
8.3.3 India Big Data Analytics in Retail Market by Organization Size
8.3.4 India Big Data Analytics in Retail Market by Application
8.4 South Korea Big Data Analytics in Retail Market
8.4.1 South Korea Big Data Analytics in Retail Market by Component
8.4.2 South Korea Big Data Analytics in Retail Market by Deployment Type
8.4.3 South Korea Big Data Analytics in Retail Market by Organization Size
8.4.4 South Korea Big Data Analytics in Retail Market by Application
8.5 Singapore Big Data Analytics in Retail Market
8.5.1 Singapore Big Data Analytics in Retail Market by Component
8.5.2 Singapore Big Data Analytics in Retail Market by Deployment Type
8.5.3 Singapore Big Data Analytics in Retail Market by Organization Size
8.5.4 Singapore Big Data Analytics in Retail Market by Application
8.6 Malaysia Big Data Analytics in Retail Market
8.6.1 Malaysia Big Data Analytics in Retail Market by Component
8.6.2 Malaysia Big Data Analytics in Retail Market by Deployment Type
8.6.3 Malaysia Big Data Analytics in Retail Market by Organization Size
8.6.4 Malaysia Big Data Analytics in Retail Market by Application
8.7 Rest of Asia-Pacific Big Data Analytics in Retail Market
8.7.1 Rest of Asia-Pacific Big Data Analytics in Retail Market by Component
8.7.2 Rest of Asia-Pacific Big Data Analytics in Retail Market by Deployment Type
8.7.3 Rest of Asia-Pacific Big Data Analytics in Retail Market by Organization Size
8.7.4 Rest of Asia-Pacific Big Data Analytics in Retail Market by Application
Chapter 9. Company Profiles
9.1 IBM Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Regional & Segmental Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent Strategies and Developments
9.1.5.1 Partnerships, Collaborations, and Agreements
9.1.5.2 Product Launches and Product Enhancements
9.1.6 SWOT Analysis
9.2 Microsoft Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.1 Recent Strategies and Developments
9.2.1.1 Partnerships, Collaborations, and Agreements
9.2.2 SWOT Analysis
9.3 Oracle Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent Strategies and Developments
9.3.5.1 Product Launches and Product Enhancements
9.3.6 SWOT Analysis
9.4 SAP SE
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent Strategies and Developments
9.4.5.1 Partnerships, Collaborations, and Agreements
9.4.5.2 Product Launches and Product Enhancements
9.4.5.3 Geographical Expansions
9.4.6 SWOT Analysis
9.5 Salesforce.com, Inc.
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent Strategies and Developments
9.5.5.1 Acquisition and Mergers
9.5.5.2 Product Launches and Product Enhancements
9.5.6 SWOT Analysis
9.6 Adobe, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent Strategies and Developments
9.6.5.1 Partnerships, Collaborations, and Agreements
9.6.5.2 Product Launches and Product Enhancements
9.6.6 SWOT Analysis
9.7 Teradata Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent Strategies and Developments
9.7.5.1 Partnerships, Collaborations, and Agreements
9.7.5.2 Product Launches and Product Enhancements
9.7.6 SWOT Analysis
9.8 MicroStrategy, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent Strategies and Developments
9.8.5.1 Partnerships, Collaborations, and Agreements
9.8.5.2 Product Launches and Product Enhancements
9.8.6 SWOT Analysis
9.9 Alteryx, Inc.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent Strategies and Developments
9.9.5.1 Partnerships, Collaborations, and Agreements
9.9.5.2 Product Launches and Product Enhancements
9.9.5.3 Acquisition and Mergers
9.10. Zoho Corporation Pvt. Ltd.
9.10.1 Company Overview
9.10.2 Recent Strategies and Developments
9.10.2.1 Product Launches and Product Enhancements

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Teradata Corporation
  • MicroStrategy, Inc.
  • Alteryx, Inc.
  • Zoho Corporation Pvt. Ltd.

Methodology

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