Global E-Merchandising Software
Global E-Merchandising Software

E-Merchandising Software Comprehensive Study by Application (Large Enterprises, SMEs), Deployment Model (Cloud-Based, On-Premise), Pricing Model (Free Trial, Monthly Subscription, Annual Subscription, One-Time License) Players and Region - Global Market Outlook to 2026

E-Merchandising Software Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Mar 2021 Edition 235 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is E-Merchandising Software Market?

E-merchandising is the method of selecting the best product or service in the right placement with the right material in a way to maximize sales. The software works to strategically view goods on a website to better market them to consumers. To improve engagement, revenue, and customer loyalty, e-merchandising relies on analytics from multiple touchpoints to provide a customized, individualized experience. E-merchandising software is often integrated with e-commerce sites, online content management, inventory management, point of sale (POS), and customer relationship management (CRM). The high demand for software from retailers to schedule and conduct product operations, such as determining which products to stock, where to stock them, when to advertise them, and how much to charge for them. Pricing engines, which help retailers price products based on competitors' costs, gross profit margins, demand, past sales efficiency, and vendor incentives, are key features of merchandising systems. Retailers may also use systems to figure out where and when those goods sell best which is future boosting the demand of the market.

The market study is being classified, by Application (Large Enterprises and SMEs) and major geographies with country level break-up.

SearchSpring (United States), SLI Systems ( New Zealand), Hawk Search (United States), Nosto (Finland), Nextopia (Canada), Bluecore (United States), IBM (United States), Apptus (Sweden), Oracle Corporation (United States) and Prediggo (Switzerland) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Pepperi (United States) and SAP (Germany).

The vendors in this market are majorly focusing on developing innovative solutions in order to cater to the market's demands to remain competitive in the global market. The key players are expanding their business by using various strategies such as new product development, innovation and mergers, and acquisitions. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global E-Merchandising Software market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global E-Merchandising Software market by Type, Application and Region.

On the basis of geography, the market of E-Merchandising Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Rising Demand for Automation Across the Retail Industry
  • High Demand for Growth in the Customer Conversion Rate & Average Transaction Value

Market Trend
  • Implementation of Artificial Intelligence (AI) E-Merchandising Software

Restraints
  • High Cost of Solutions

Opportunities
  • Rising Retail Industries
  • Growth Opportunity in Developing Country

Challenges
  • Lack of Skilled Person


Market Leaders and some development strategies
In Nov 2019, CHAPSVISION announces the acquisition of Sparkow, a publisher specialising in e-merchandising. The transaction was completed on November 7th 2019, ChapsVision now owns 100% of Sparkow.
In Oct 2020, Ex-CEO of Attraqt launches a new Merchandising software business, Advanced Commerce Limited. André Brown, the former CEO of Attraqt Group PLC, has launched Advanced Commerce Limited to bring Enterprise-grade merchandising to small and mid-tier retailers., and In May 2020, Zobrist Software announces Smart Merchandiser, a Visual Merchandising tool for Salesforce Commerce Cloud Award-winning Visual Merchandising tool, Smart Merchandiser is now available to Salesforce Commerce Cloud. It is a perfect complement to Business Manager and Einstein to make digital merchandising easy, fun, and revenue-generating.


Key Target Audience
E-Merchandising Software Providers, Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Government Regulatory and Research Organizations and End-Use Industries

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Large Enterprises
  • SMEs
By Deployment Model
  • Cloud-Based
  • On-Premise

By Pricing Model
  • Free Trial
  • Monthly Subscription
  • Annual Subscription
  • One-Time License

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Demand for Automation Across the Retail Industry
      • 3.2.2. High Demand for Growth in the Customer Conversion Rate & Average Transaction Value
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Person
    • 3.4. Market Trends
      • 3.4.1. Implementation of Artificial Intelligence (AI) E-Merchandising Software
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global E-Merchandising Software, by Application, Deployment Model, Pricing Model and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global E-Merchandising Software (Value)
      • 5.2.1. Global E-Merchandising Software by: Application (Value)
        • 5.2.1.1. Large Enterprises
        • 5.2.1.2. SMEs
      • 5.2.2. Global E-Merchandising Software by: Deployment Model (Value)
        • 5.2.2.1. Cloud-Based
        • 5.2.2.2. On-Premise
      • 5.2.3. Global E-Merchandising Software by: Pricing Model (Value)
        • 5.2.3.1. Free Trial
        • 5.2.3.2. Monthly Subscription
        • 5.2.3.3. Annual Subscription
        • 5.2.3.4. One-Time License
      • 5.2.4. Global E-Merchandising Software Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global E-Merchandising Software (Price)
  • 6. E-Merchandising Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. SearchSpring (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SLI Systems ( New Zealand)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Hawk Search (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Nosto (Finland)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Nextopia (Canada)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Bluecore (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. IBM (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Apptus (Sweden)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Oracle Corporation (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Prediggo (Switzerland)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global E-Merchandising Software Sale, by Application, Deployment Model, Pricing Model and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global E-Merchandising Software (Value)
      • 7.2.1. Global E-Merchandising Software by: Application (Value)
        • 7.2.1.1. Large Enterprises
        • 7.2.1.2. SMEs
      • 7.2.2. Global E-Merchandising Software by: Deployment Model (Value)
        • 7.2.2.1. Cloud-Based
        • 7.2.2.2. On-Premise
      • 7.2.3. Global E-Merchandising Software by: Pricing Model (Value)
        • 7.2.3.1. Free Trial
        • 7.2.3.2. Monthly Subscription
        • 7.2.3.3. Annual Subscription
        • 7.2.3.4. One-Time License
      • 7.2.4. Global E-Merchandising Software Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global E-Merchandising Software (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. E-Merchandising Software: by Application(USD Million)
  • Table 2. E-Merchandising Software Large Enterprises , by Region USD Million (2015-2020)
  • Table 3. E-Merchandising Software SMEs , by Region USD Million (2015-2020)
  • Table 4. E-Merchandising Software: by Deployment Model(USD Million)
  • Table 5. E-Merchandising Software Cloud-Based , by Region USD Million (2015-2020)
  • Table 6. E-Merchandising Software On-Premise , by Region USD Million (2015-2020)
  • Table 7. E-Merchandising Software: by Pricing Model(USD Million)
  • Table 8. E-Merchandising Software Free Trial , by Region USD Million (2015-2020)
  • Table 9. E-Merchandising Software Monthly Subscription , by Region USD Million (2015-2020)
  • Table 10. E-Merchandising Software Annual Subscription , by Region USD Million (2015-2020)
  • Table 11. E-Merchandising Software One-Time License , by Region USD Million (2015-2020)
  • Table 12. South America E-Merchandising Software, by Country USD Million (2015-2020)
  • Table 13. South America E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 14. South America E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 15. South America E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 16. Brazil E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 17. Brazil E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 18. Brazil E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 19. Argentina E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 20. Argentina E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 21. Argentina E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 22. Rest of South America E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 23. Rest of South America E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 24. Rest of South America E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 25. Asia Pacific E-Merchandising Software, by Country USD Million (2015-2020)
  • Table 26. Asia Pacific E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 27. Asia Pacific E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 28. Asia Pacific E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 29. China E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 30. China E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 31. China E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 32. Japan E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 33. Japan E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 34. Japan E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 35. India E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 36. India E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 37. India E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 38. South Korea E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 39. South Korea E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 40. South Korea E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 41. Taiwan E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 42. Taiwan E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 43. Taiwan E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 44. Australia E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 45. Australia E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 46. Australia E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 47. Rest of Asia-Pacific E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 48. Rest of Asia-Pacific E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 49. Rest of Asia-Pacific E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 50. Europe E-Merchandising Software, by Country USD Million (2015-2020)
  • Table 51. Europe E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 52. Europe E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 53. Europe E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 54. Germany E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 55. Germany E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 56. Germany E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 57. France E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 58. France E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 59. France E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 60. Italy E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 61. Italy E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 62. Italy E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 63. United Kingdom E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 64. United Kingdom E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 65. United Kingdom E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 66. Netherlands E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 67. Netherlands E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 68. Netherlands E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 69. Rest of Europe E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 70. Rest of Europe E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 71. Rest of Europe E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 72. MEA E-Merchandising Software, by Country USD Million (2015-2020)
  • Table 73. MEA E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 74. MEA E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 75. MEA E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 76. Middle East E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 77. Middle East E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 78. Middle East E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 79. Africa E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 80. Africa E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 81. Africa E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 82. North America E-Merchandising Software, by Country USD Million (2015-2020)
  • Table 83. North America E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 84. North America E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 85. North America E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 86. United States E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 87. United States E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 88. United States E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 89. Canada E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 90. Canada E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 91. Canada E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 92. Mexico E-Merchandising Software, by Application USD Million (2015-2020)
  • Table 93. Mexico E-Merchandising Software, by Deployment Model USD Million (2015-2020)
  • Table 94. Mexico E-Merchandising Software, by Pricing Model USD Million (2015-2020)
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. E-Merchandising Software: by Application(USD Million)
  • Table 106. E-Merchandising Software Large Enterprises , by Region USD Million (2021-2026)
  • Table 107. E-Merchandising Software SMEs , by Region USD Million (2021-2026)
  • Table 108. E-Merchandising Software: by Deployment Model(USD Million)
  • Table 109. E-Merchandising Software Cloud-Based , by Region USD Million (2021-2026)
  • Table 110. E-Merchandising Software On-Premise , by Region USD Million (2021-2026)
  • Table 111. E-Merchandising Software: by Pricing Model(USD Million)
  • Table 112. E-Merchandising Software Free Trial , by Region USD Million (2021-2026)
  • Table 113. E-Merchandising Software Monthly Subscription , by Region USD Million (2021-2026)
  • Table 114. E-Merchandising Software Annual Subscription , by Region USD Million (2021-2026)
  • Table 115. E-Merchandising Software One-Time License , by Region USD Million (2021-2026)
  • Table 116. South America E-Merchandising Software, by Country USD Million (2021-2026)
  • Table 117. South America E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 118. South America E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 119. South America E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 120. Brazil E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 121. Brazil E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 122. Brazil E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 123. Argentina E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 124. Argentina E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 125. Argentina E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 126. Rest of South America E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 127. Rest of South America E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 128. Rest of South America E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 129. Asia Pacific E-Merchandising Software, by Country USD Million (2021-2026)
  • Table 130. Asia Pacific E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 131. Asia Pacific E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 132. Asia Pacific E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 133. China E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 134. China E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 135. China E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 136. Japan E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 137. Japan E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 138. Japan E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 139. India E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 140. India E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 141. India E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 142. South Korea E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 143. South Korea E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 144. South Korea E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 145. Taiwan E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 146. Taiwan E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 147. Taiwan E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 148. Australia E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 149. Australia E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 150. Australia E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 151. Rest of Asia-Pacific E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 152. Rest of Asia-Pacific E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 153. Rest of Asia-Pacific E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 154. Europe E-Merchandising Software, by Country USD Million (2021-2026)
  • Table 155. Europe E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 156. Europe E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 157. Europe E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 158. Germany E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 159. Germany E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 160. Germany E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 161. France E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 162. France E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 163. France E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 164. Italy E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 165. Italy E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 166. Italy E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 167. United Kingdom E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 168. United Kingdom E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 169. United Kingdom E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 170. Netherlands E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 171. Netherlands E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 172. Netherlands E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 173. Rest of Europe E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 174. Rest of Europe E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 175. Rest of Europe E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 176. MEA E-Merchandising Software, by Country USD Million (2021-2026)
  • Table 177. MEA E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 178. MEA E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 179. MEA E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 180. Middle East E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 181. Middle East E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 182. Middle East E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 183. Africa E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 184. Africa E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 185. Africa E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 186. North America E-Merchandising Software, by Country USD Million (2021-2026)
  • Table 187. North America E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 188. North America E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 189. North America E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 190. United States E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 191. United States E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 192. United States E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 193. Canada E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 194. Canada E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 195. Canada E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 196. Mexico E-Merchandising Software, by Application USD Million (2021-2026)
  • Table 197. Mexico E-Merchandising Software, by Deployment Model USD Million (2021-2026)
  • Table 198. Mexico E-Merchandising Software, by Pricing Model USD Million (2021-2026)
  • Table 199. Research Programs/Design for This Report
  • Table 200. Key Data Information from Secondary Sources
  • Table 201. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global E-Merchandising Software: by Application USD Million (2015-2020)
  • Figure 5. Global E-Merchandising Software: by Deployment Model USD Million (2015-2020)
  • Figure 6. Global E-Merchandising Software: by Pricing Model USD Million (2015-2020)
  • Figure 7. South America E-Merchandising Software Share (%), by Country
  • Figure 8. Asia Pacific E-Merchandising Software Share (%), by Country
  • Figure 9. Europe E-Merchandising Software Share (%), by Country
  • Figure 10. MEA E-Merchandising Software Share (%), by Country
  • Figure 11. North America E-Merchandising Software Share (%), by Country
  • Figure 12. Global E-Merchandising Software share by Players 2020 (%)
  • Figure 13. Global E-Merchandising Software share by Players (Top 3) 2020(%)
  • Figure 14. Global E-Merchandising Software share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. SearchSpring (United States) Revenue, Net Income and Gross profit
  • Figure 17. SearchSpring (United States) Revenue: by Geography 2020
  • Figure 18. SLI Systems ( New Zealand) Revenue, Net Income and Gross profit
  • Figure 19. SLI Systems ( New Zealand) Revenue: by Geography 2020
  • Figure 20. Hawk Search (United States) Revenue, Net Income and Gross profit
  • Figure 21. Hawk Search (United States) Revenue: by Geography 2020
  • Figure 22. Nosto (Finland) Revenue, Net Income and Gross profit
  • Figure 23. Nosto (Finland) Revenue: by Geography 2020
  • Figure 24. Nextopia (Canada) Revenue, Net Income and Gross profit
  • Figure 25. Nextopia (Canada) Revenue: by Geography 2020
  • Figure 26. Bluecore (United States) Revenue, Net Income and Gross profit
  • Figure 27. Bluecore (United States) Revenue: by Geography 2020
  • Figure 28. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 29. IBM (United States) Revenue: by Geography 2020
  • Figure 30. Apptus (Sweden) Revenue, Net Income and Gross profit
  • Figure 31. Apptus (Sweden) Revenue: by Geography 2020
  • Figure 32. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 33. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 34. Prediggo (Switzerland) Revenue, Net Income and Gross profit
  • Figure 35. Prediggo (Switzerland) Revenue: by Geography 2020
  • Figure 36. Global E-Merchandising Software: by Application USD Million (2021-2026)
  • Figure 37. Global E-Merchandising Software: by Deployment Model USD Million (2021-2026)
  • Figure 38. Global E-Merchandising Software: by Pricing Model USD Million (2021-2026)
  • Figure 39. South America E-Merchandising Software Share (%), by Country
  • Figure 40. Asia Pacific E-Merchandising Software Share (%), by Country
  • Figure 41. Europe E-Merchandising Software Share (%), by Country
  • Figure 42. MEA E-Merchandising Software Share (%), by Country
  • Figure 43. North America E-Merchandising Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • SearchSpring (United States)
  • SLI Systems ( New Zealand)
  • Hawk Search (United States)
  • Nosto (Finland)
  • Nextopia (Canada)
  • Bluecore (United States)
  • IBM (United States)
  • Apptus (Sweden)
  • Oracle Corporation (United States)
  • Prediggo (Switzerland)
Additional players considered in the study are as follows:
Pepperi (United States) , SAP (Germany)
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