Global Supply Chain Cost-to-Serve Analytics Technology
Global Supply Chain Cost-to-Serve Analytics Technology

Supply Chain Cost-to-Serve Analytics Technology Comprehensive Study by Deployment (On-Cloud, On-Premise), Application (Pharma, Retail, FMCG, Chemical, Others), Feature (Predictive Alerts, Live Tracking, Enroute Analytics, Others) Players and Region - Global Market Outlook to 2026

Supply Chain Cost-to-Serve Analytics Technology Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Dec 2021 Edition 236 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Supply Chain Cost-to-Serve Analytics Technology Market Scope
Supply Chain Cost-to-Serve analytics technology is an advanced technology that brings data-driven intelligence to business, reducing the overall cost to serve and improving service levels. Supply Chain Cost-to-Serve analytics technology aims to improve operational efficiency and effectiveness by enabling data-driven strategic, operational, and tactical levels. It has wide application in E-Commerce Industry in order to make supply chain transactions more effective. Rapid advancement in technology such as blockchain and machine learning is driving the growth of the market over the forecast period

The Supply Chain Cost-to-Serve Analytics Technology market study is segmented and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. The market is expected to grow in E-Commerce Industry. It has wide application for reducing operating costs. Several companies such as Anaplan, Inc, Genpact are operating in the market to provide customers with a better offer with various features & unique offerings. The market is a consolidated market with the presence of several market players and local players. The demand of the market is huge that wide application that is triggering the market growth over the forecast period

Chainalytics Inc (United States), Oracle Hyperion Planning (United States), o9 Solutions (United States), Solvoyo (Turkey), EasyMetrics (United States), Coupa Software Inc (United States), Anaplan, Inc (United States), Wolters Kluwer (Netherlands), Trax Technologies Inc (United States), Ntara (United States), Genpact (United States), Supply Chain Guru (Thailand), Demand Solutions (United States), Facton EPC Suite (United States) and Others are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Supply Chain Cost-to-Serve Analytics Technology market by Type, Application and Region.

On the basis of geography, the market of Supply Chain Cost-to-Serve Analytics Technology has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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).

Market Leaders and their expansionary development strategies
On January 2021 Genpact has acquires Analytics Firm Enquero to Drive Next-Gen Enterprise Digital Transformation
On September 2021 Wolters Kluwer introduces audit data analytics resources to help CPA firms deliver higher quality audits


Market Trend
  • Rising development in technology such as machine learning and data analytics for fair transparency

Market Drivers
  • It helps to eliminate wastages and improve margins

Opportunities
  • It helps to reduce inventory and release cash

Restraints
  • Lack of data security issue

Challenges
  • Lack of synchronization between planning and execution.


Key Target Audience
E-Commerce Industry, Raw Material Supplier, Regulatory Authorities, New Entrants/Investors, Strategic Business Planners, Governments and End-use Industry

Frequently Asked Questions (FAQ):

1. Is it possible to have certain customization in the study?
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a study that suits your business objectives.

2. How big is the Supply Chain Cost-to-Serve Analytics Technology Market?
Yes, the study does represent market size by key business segment, application/end users and major geographies forecasted till 2026.

Report Objectives / Segmentation Covered
By Deployment
  • On-Cloud
  • On-Premise

By Application
  • Pharma
  • Retail
  • FMCG
  • Chemical
  • Others

By Feature
  • Predictive Alerts
  • Live Tracking
  • Enroute Analytics
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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. It helps to eliminate wastages and improve margins
    • 3.3. Market Challenges
      • 3.3.1. Lack of synchronization between planning and execution.
    • 3.4. Market Trends
      • 3.4.1. Rising development in technology such as machine learning and data analytics for fair transparency
  • 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 Supply Chain Cost-to-Serve Analytics Technology, by Deployment, Application , Feature and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Supply Chain Cost-to-Serve Analytics Technology (Value)
      • 5.2.1. Global Supply Chain Cost-to-Serve Analytics Technology by: Feature (Value)
        • 5.2.1.1. Predictive Alerts
        • 5.2.1.2. Live Tracking
        • 5.2.1.3. Enroute Analytics
        • 5.2.1.4. Others
      • 5.2.2. Global Supply Chain Cost-to-Serve Analytics Technology Region
        • 5.2.2.1. South America
          • 5.2.2.1.1. Brazil
          • 5.2.2.1.2. Argentina
          • 5.2.2.1.3. Rest of South America
        • 5.2.2.2. Asia Pacific
          • 5.2.2.2.1. China
          • 5.2.2.2.2. Japan
          • 5.2.2.2.3. India
          • 5.2.2.2.4. South Korea
          • 5.2.2.2.5. Australia
          • 5.2.2.2.6. Rest of Asia-Pacific
        • 5.2.2.3. Europe
          • 5.2.2.3.1. Germany
          • 5.2.2.3.2. France
          • 5.2.2.3.3. Italy
          • 5.2.2.3.4. United Kingdom
          • 5.2.2.3.5. Netherlands
          • 5.2.2.3.6. Rest of Europe
        • 5.2.2.4. MEA
          • 5.2.2.4.1. Middle East
          • 5.2.2.4.2. Africa
        • 5.2.2.5. North America
          • 5.2.2.5.1. United States
          • 5.2.2.5.2. Canada
          • 5.2.2.5.3. Mexico
    • 5.3. Global Supply Chain Cost-to-Serve Analytics Technology (Price)
  • 6. Supply Chain Cost-to-Serve Analytics Technology: 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. Chainalytics Inc (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. Oracle Hyperion Planning (United States)
        • 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. O9 Solutions (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. Solvoyo (Turkey)
        • 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. EasyMetrics (United States)
        • 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. Coupa Software Inc (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. Anaplan, Inc (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. Wolters Kluwer (Netherlands)
        • 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. Trax Technologies Inc (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. Ntara (United States)
        • 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
      • 6.4.11. Genpact (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Supply Chain Guru (Thailand)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Demand Solutions (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Facton EPC Suite (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Others
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Supply Chain Cost-to-Serve Analytics Technology Sale, by Deployment, Application , Feature and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Supply Chain Cost-to-Serve Analytics Technology (Value)
      • 7.2.1. Global Supply Chain Cost-to-Serve Analytics Technology by: Feature (Value)
        • 7.2.1.1. Predictive Alerts
        • 7.2.1.2. Live Tracking
        • 7.2.1.3. Enroute Analytics
        • 7.2.1.4. Others
      • 7.2.2. Global Supply Chain Cost-to-Serve Analytics Technology Region
        • 7.2.2.1. South America
          • 7.2.2.1.1. Brazil
          • 7.2.2.1.2. Argentina
          • 7.2.2.1.3. Rest of South America
        • 7.2.2.2. Asia Pacific
          • 7.2.2.2.1. China
          • 7.2.2.2.2. Japan
          • 7.2.2.2.3. India
          • 7.2.2.2.4. South Korea
          • 7.2.2.2.5. Australia
          • 7.2.2.2.6. Rest of Asia-Pacific
        • 7.2.2.3. Europe
          • 7.2.2.3.1. Germany
          • 7.2.2.3.2. France
          • 7.2.2.3.3. Italy
          • 7.2.2.3.4. United Kingdom
          • 7.2.2.3.5. Netherlands
          • 7.2.2.3.6. Rest of Europe
        • 7.2.2.4. MEA
          • 7.2.2.4.1. Middle East
          • 7.2.2.4.2. Africa
        • 7.2.2.5. North America
          • 7.2.2.5.1. United States
          • 7.2.2.5.2. Canada
          • 7.2.2.5.3. Mexico
    • 7.3. Global Supply Chain Cost-to-Serve Analytics Technology (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. Supply Chain Cost-to-Serve Analytics Technology: by Feature(USD Million)
  • Table 2. Supply Chain Cost-to-Serve Analytics Technology Predictive Alerts , by Region USD Million (2015-2020)
  • Table 3. Supply Chain Cost-to-Serve Analytics Technology Live Tracking , by Region USD Million (2015-2020)
  • Table 4. Supply Chain Cost-to-Serve Analytics Technology Enroute Analytics , by Region USD Million (2015-2020)
  • Table 5. Supply Chain Cost-to-Serve Analytics Technology Others , by Region USD Million (2015-2020)
  • Table 6. South America Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2015-2020)
  • Table 7. South America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 8. South America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 9. South America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 10. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 11. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 12. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 13. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 14. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 15. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 16. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 17. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 18. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 19. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2015-2020)
  • Table 20. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 21. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 22. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 23. China Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 24. China Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 25. China Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 26. Japan Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 27. Japan Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 28. Japan Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 29. India Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 30. India Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 31. India Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 32. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 33. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 34. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 35. Australia Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 36. Australia Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 37. Australia Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 38. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 39. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 40. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 41. Europe Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2015-2020)
  • Table 42. Europe Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 43. Europe Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 44. Europe Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 45. Germany Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 46. Germany Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 47. Germany Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 48. France Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 49. France Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 50. France Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 51. Italy Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 52. Italy Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 53. Italy Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 54. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 55. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 56. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 57. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 58. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 59. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 60. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 61. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 62. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 63. MEA Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2015-2020)
  • Table 64. MEA Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 65. MEA Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 66. MEA Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 67. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 68. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 69. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 70. Africa Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 71. Africa Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 72. Africa Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 73. North America Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2015-2020)
  • Table 74. North America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 75. North America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 76. North America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 77. United States Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 78. United States Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 79. United States Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 80. Canada Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 81. Canada Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 82. Canada Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 83. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2015-2020)
  • Table 84. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2015-2020)
  • Table 85. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2015-2020)
  • Table 86. Company Basic Information, Sales Area and Its Competitors
  • Table 87. Company Basic Information, Sales Area and Its Competitors
  • Table 88. Company Basic Information, Sales Area and Its Competitors
  • Table 89. Company Basic Information, Sales Area and Its Competitors
  • Table 90. Company Basic Information, Sales Area and Its Competitors
  • Table 91. Company Basic Information, Sales Area and Its Competitors
  • Table 92. Company Basic Information, Sales Area and Its Competitors
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • 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. Supply Chain Cost-to-Serve Analytics Technology: by Feature(USD Million)
  • Table 102. Supply Chain Cost-to-Serve Analytics Technology Predictive Alerts , by Region USD Million (2021-2026)
  • Table 103. Supply Chain Cost-to-Serve Analytics Technology Live Tracking , by Region USD Million (2021-2026)
  • Table 104. Supply Chain Cost-to-Serve Analytics Technology Enroute Analytics , by Region USD Million (2021-2026)
  • Table 105. Supply Chain Cost-to-Serve Analytics Technology Others , by Region USD Million (2021-2026)
  • Table 106. South America Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2021-2026)
  • Table 107. South America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 108. South America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 109. South America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 110. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 111. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 112. Brazil Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 113. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 114. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 115. Argentina Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 116. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 117. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 118. Rest of South America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 119. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2021-2026)
  • Table 120. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 121. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 122. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 123. China Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 124. China Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 125. China Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 126. Japan Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 127. Japan Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 128. Japan Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 129. India Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 130. India Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 131. India Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 132. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 133. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 134. South Korea Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 135. Australia Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 136. Australia Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 137. Australia Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 138. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 139. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 140. Rest of Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 141. Europe Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2021-2026)
  • Table 142. Europe Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 143. Europe Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 144. Europe Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 145. Germany Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 146. Germany Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 147. Germany Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 148. France Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 149. France Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 150. France Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 151. Italy Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 152. Italy Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 153. Italy Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 154. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 155. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 156. United Kingdom Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 157. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 158. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 159. Netherlands Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 160. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 161. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 162. Rest of Europe Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 163. MEA Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2021-2026)
  • Table 164. MEA Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 165. MEA Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 166. MEA Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 167. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 168. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 169. Middle East Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 170. Africa Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 171. Africa Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 172. Africa Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 173. North America Supply Chain Cost-to-Serve Analytics Technology, by Country USD Million (2021-2026)
  • Table 174. North America Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 175. North America Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 176. North America Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 177. United States Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 178. United States Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 179. United States Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 180. Canada Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 181. Canada Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 182. Canada Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 183. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Deployment USD Million (2021-2026)
  • Table 184. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Application USD Million (2021-2026)
  • Table 185. Mexico Supply Chain Cost-to-Serve Analytics Technology, by Feature USD Million (2021-2026)
  • Table 186. Research Programs/Design for This Report
  • Table 187. Key Data Information from Secondary Sources
  • Table 188. 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 Supply Chain Cost-to-Serve Analytics Technology: by Feature USD Million (2015-2020)
  • Figure 5. South America Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 6. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 7. Europe Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 8. MEA Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 9. North America Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 10. Global Supply Chain Cost-to-Serve Analytics Technology share by Players 2020 (%)
  • Figure 11. Global Supply Chain Cost-to-Serve Analytics Technology share by Players (Top 3) 2020(%)
  • Figure 12. Global Supply Chain Cost-to-Serve Analytics Technology share by Players (Top 5) 2020(%)
  • Figure 13. BCG Matrix for key Companies
  • Figure 14. Chainalytics Inc (United States) Revenue, Net Income and Gross profit
  • Figure 15. Chainalytics Inc (United States) Revenue: by Geography 2020
  • Figure 16. Oracle Hyperion Planning (United States) Revenue, Net Income and Gross profit
  • Figure 17. Oracle Hyperion Planning (United States) Revenue: by Geography 2020
  • Figure 18. O9 Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 19. O9 Solutions (United States) Revenue: by Geography 2020
  • Figure 20. Solvoyo (Turkey) Revenue, Net Income and Gross profit
  • Figure 21. Solvoyo (Turkey) Revenue: by Geography 2020
  • Figure 22. EasyMetrics (United States) Revenue, Net Income and Gross profit
  • Figure 23. EasyMetrics (United States) Revenue: by Geography 2020
  • Figure 24. Coupa Software Inc (United States) Revenue, Net Income and Gross profit
  • Figure 25. Coupa Software Inc (United States) Revenue: by Geography 2020
  • Figure 26. Anaplan, Inc (United States) Revenue, Net Income and Gross profit
  • Figure 27. Anaplan, Inc (United States) Revenue: by Geography 2020
  • Figure 28. Wolters Kluwer (Netherlands) Revenue, Net Income and Gross profit
  • Figure 29. Wolters Kluwer (Netherlands) Revenue: by Geography 2020
  • Figure 30. Trax Technologies Inc (United States) Revenue, Net Income and Gross profit
  • Figure 31. Trax Technologies Inc (United States) Revenue: by Geography 2020
  • Figure 32. Ntara (United States) Revenue, Net Income and Gross profit
  • Figure 33. Ntara (United States) Revenue: by Geography 2020
  • Figure 34. Genpact (United States) Revenue, Net Income and Gross profit
  • Figure 35. Genpact (United States) Revenue: by Geography 2020
  • Figure 36. Supply Chain Guru (Thailand) Revenue, Net Income and Gross profit
  • Figure 37. Supply Chain Guru (Thailand) Revenue: by Geography 2020
  • Figure 38. Demand Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 39. Demand Solutions (United States) Revenue: by Geography 2020
  • Figure 40. Facton EPC Suite (United States) Revenue, Net Income and Gross profit
  • Figure 41. Facton EPC Suite (United States) Revenue: by Geography 2020
  • Figure 42. Others Revenue, Net Income and Gross profit
  • Figure 43. Others Revenue: by Geography 2020
  • Figure 44. Global Supply Chain Cost-to-Serve Analytics Technology: by Feature USD Million (2021-2026)
  • Figure 45. South America Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 46. Asia Pacific Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 47. Europe Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 48. MEA Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
  • Figure 49. North America Supply Chain Cost-to-Serve Analytics Technology Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Chainalytics Inc (United States)
  • Oracle Hyperion Planning (United States)
  • o9 Solutions (United States)
  • Solvoyo (Turkey)
  • EasyMetrics (United States)
  • Coupa Software Inc (United States)
  • Anaplan, Inc (United States)
  • Wolters Kluwer (Netherlands)
  • Trax Technologies Inc (United States)
  • Ntara (United States)
  • Genpact (United States)
  • Supply Chain Guru (Thailand)
  • Demand Solutions (United States)
  • Facton EPC Suite (United States)
  • Others
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation