Global Supply Chain Analytics Market research

Supply Chain Analytics Comprehensive Study by Type (Logistics Analytics, Manufacturing Analytics, Planning & Procurement, Sales & Operations Analytics, Visualization & Reporting), End Users (Retail & Consumer Goods, Healthcare, Manufacturing, Transportation, Aerospace & Defense, High Technology Products, Others), Enterprise Size (Large Enterprise, Small & Medium Enterprises), Deployment Type (Cloud, On-premise) Players and Region - Global Market Outlook to 2030

Supply Chain Analytics Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 15.3%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Supply Chain Analytics
Supply chain analytics helps in improving operational efficiency by deploying various techniques such as predictive modelling, machine learning and others mathematical and statistical tools. Existing supply chain analytics does not guarantee effective modeling of trade-offs, supply chain cycles, profitability and proper inventory management. Also,

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Billion)
CAGR15.3%


Analyst at AMA Research estimates that United States Vendors will contribute the maximum growth to Global Supply Chain Analytics market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

SAS Institute Inc. [United States], SAP SE [Germany], IBM Corporation [United States], Oracle Corporation [United States], Sage Clarity Systems [United States], Kinaxis Inc. [ Canada], MicroStrategy Inc. [United States], Genpact Ltd. [United States], Capgemini Group [France] and Birst [United States] are some of the key players that are part of study coverage. Additionally, the Vendors which are also part of the research coverage are Software AG [Germany], Tableau [United States], Qlik [United States], TIBCO [United States], Cloudera [united States], Logility [United States], Savi Technology [United States], Infor [United States], RELEX Solutions [Finland], TARGIT [Denmark], Voxware [United States], The AnyLogic Company [United States], Antuit [United States], Axway [United States] and AIMMS [Netherlands].

Segmentation Overview
AMA Research has segmented the market of Global Supply Chain Analytics market by Type (Logistics Analytics, Manufacturing Analytics, Planning & Procurement, Sales & Operations Analytics and Visualization & Reporting) and Region.



On the basis of geography, the market of Supply Chain Analytics 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). If we see Market by End Users, the sub-segment i.e. Retail & Consumer Goods will boost the Supply Chain Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Enterprise Size, the sub-segment i.e. Large Enterprise will boost the Supply Chain Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Type, the sub-segment i.e. Cloud will boost the Supply Chain Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Growing Adoption of Cloud Based Supply Chain Analytics and Use of Big Data to Ease the Supply Chain Analytics

Market Growth Drivers:
Growing Need to Enhance Operational and Supply Chain Efficiencies and Huge Data Influx in Supply Chain Demands Effective Analytics Solutions

Challenges:
Lack of Skilled Workforce to Manage the Services and Low Adoption of Advanced Analytical Technologies Owing to Unwillingness Among Enterprise

Restraints:
Issues Related with Data Security and Lack of Accuracy and Reliability in Data Sets

Opportunities:
Emergence of AI and Machine Learning in Supply Chain Management

Recently, in October 2018, IBM released AI powered Watson supply chain insight. The company said that Watson is able to integrate data from weather, traffic and regulatory reports to provide complete viewpoint for global supply chain issues. IBM supply chain solutions vice president, strategy and offering management said that “as per IBM’s Institute of Business Value Global Chief Supply Chain Officer (CSCO) Study, 84% of chief supply chain officers say that the lack of data visibility stands as a top c


Key Target Audience
Supply Chain Analytics Service Providers, Logistics Firms, Government Agencies, Research Institutes, Potential investors and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Logistics Analytics
  • Manufacturing Analytics
  • Planning & Procurement
  • Sales & Operations Analytics
  • Visualization & Reporting
By End Users
  • Retail & Consumer Goods
  • Healthcare
  • Manufacturing
  • Transportation
  • Aerospace & Defense
  • High Technology Products
  • Others

By Enterprise Size
  • Large Enterprise
  • Small & Medium Enterprises

By Deployment Type
  • Cloud
  • On-premise

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. Growing Need to Enhance Operational and Supply Chain Efficiencies
      • 3.2.2. Huge Data Influx in Supply Chain Demands Effective Analytics Solutions
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Workforce to Manage the Services
      • 3.3.2. Low Adoption of Advanced Analytical Technologies Owing to Unwillingness Among Enterprise
    • 3.4. Market Trends
      • 3.4.1. Growing Adoption of Cloud Based Supply Chain Analytics
      • 3.4.2. Use of Big Data to Ease the Supply Chain Analytics
  • 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 Analytics, by Type, End Users, Enterprise Size, Deployment Type and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Supply Chain Analytics (Value)
      • 5.2.1. Global Supply Chain Analytics by: Type (Value)
        • 5.2.1.1. Logistics Analytics
        • 5.2.1.2. Manufacturing Analytics
        • 5.2.1.3. Planning & Procurement
        • 5.2.1.4. Sales & Operations Analytics
        • 5.2.1.5. Visualization & Reporting
      • 5.2.2. Global Supply Chain Analytics by: End Users (Value)
        • 5.2.2.1. Retail & Consumer Goods
        • 5.2.2.2. Healthcare
        • 5.2.2.3. Manufacturing
        • 5.2.2.4. Transportation
        • 5.2.2.5. Aerospace & Defense
        • 5.2.2.6. High Technology Products
        • 5.2.2.7. Others
      • 5.2.3. Global Supply Chain Analytics by: Enterprise Size (Value)
        • 5.2.3.1. Large Enterprise
        • 5.2.3.2. Small & Medium Enterprises
      • 5.2.4. Global Supply Chain Analytics by: Deployment Type (Value)
        • 5.2.4.1. Cloud
        • 5.2.4.2. On-premise
      • 5.2.5. Global Supply Chain Analytics Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Supply Chain Analytics: 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. SAS Institute 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. SAP SE [Germany]
        • 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. IBM Corporation [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. Oracle Corporation [United States]
        • 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. Sage Clarity Systems [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. Kinaxis Inc. [ Canada]
        • 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. MicroStrategy 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. Genpact Ltd. [United States]
        • 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. Capgemini Group [France]
        • 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. Birst [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
  • 7. Global Supply Chain Analytics Sale, by Type, End Users, Enterprise Size, Deployment Type and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Supply Chain Analytics (Value)
      • 7.2.1. Global Supply Chain Analytics by: Type (Value)
        • 7.2.1.1. Logistics Analytics
        • 7.2.1.2. Manufacturing Analytics
        • 7.2.1.3. Planning & Procurement
        • 7.2.1.4. Sales & Operations Analytics
        • 7.2.1.5. Visualization & Reporting
      • 7.2.2. Global Supply Chain Analytics by: End Users (Value)
        • 7.2.2.1. Retail & Consumer Goods
        • 7.2.2.2. Healthcare
        • 7.2.2.3. Manufacturing
        • 7.2.2.4. Transportation
        • 7.2.2.5. Aerospace & Defense
        • 7.2.2.6. High Technology Products
        • 7.2.2.7. Others
      • 7.2.3. Global Supply Chain Analytics by: Enterprise Size (Value)
        • 7.2.3.1. Large Enterprise
        • 7.2.3.2. Small & Medium Enterprises
      • 7.2.4. Global Supply Chain Analytics by: Deployment Type (Value)
        • 7.2.4.1. Cloud
        • 7.2.4.2. On-premise
      • 7.2.5. Global Supply Chain Analytics Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 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 Analytics: by Type(USD Billion)
  • Table 2. Supply Chain Analytics Logistics Analytics , by Region USD Billion (2018-2023)
  • Table 3. Supply Chain Analytics Manufacturing Analytics , by Region USD Billion (2018-2023)
  • Table 4. Supply Chain Analytics Planning & Procurement , by Region USD Billion (2018-2023)
  • Table 5. Supply Chain Analytics Sales & Operations Analytics , by Region USD Billion (2018-2023)
  • Table 6. Supply Chain Analytics Visualization & Reporting , by Region USD Billion (2018-2023)
  • Table 7. Supply Chain Analytics: by End Users(USD Billion)
  • Table 8. Supply Chain Analytics Retail & Consumer Goods , by Region USD Billion (2018-2023)
  • Table 9. Supply Chain Analytics Healthcare , by Region USD Billion (2018-2023)
  • Table 10. Supply Chain Analytics Manufacturing , by Region USD Billion (2018-2023)
  • Table 11. Supply Chain Analytics Transportation , by Region USD Billion (2018-2023)
  • Table 12. Supply Chain Analytics Aerospace & Defense , by Region USD Billion (2018-2023)
  • Table 13. Supply Chain Analytics High Technology Products , by Region USD Billion (2018-2023)
  • Table 14. Supply Chain Analytics Others , by Region USD Billion (2018-2023)
  • Table 15. Supply Chain Analytics: by Enterprise Size(USD Billion)
  • Table 16. Supply Chain Analytics Large Enterprise , by Region USD Billion (2018-2023)
  • Table 17. Supply Chain Analytics Small & Medium Enterprises , by Region USD Billion (2018-2023)
  • Table 18. Supply Chain Analytics: by Deployment Type(USD Billion)
  • Table 19. Supply Chain Analytics Cloud , by Region USD Billion (2018-2023)
  • Table 20. Supply Chain Analytics On-premise , by Region USD Billion (2018-2023)
  • Table 21. South America Supply Chain Analytics, by Country USD Billion (2018-2023)
  • Table 22. South America Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 23. South America Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 24. South America Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 25. South America Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 26. Brazil Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 27. Brazil Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 28. Brazil Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 29. Brazil Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 30. Argentina Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 31. Argentina Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 32. Argentina Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 33. Argentina Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 34. Rest of South America Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 35. Rest of South America Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 36. Rest of South America Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 37. Rest of South America Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 38. Asia Pacific Supply Chain Analytics, by Country USD Billion (2018-2023)
  • Table 39. Asia Pacific Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 40. Asia Pacific Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 41. Asia Pacific Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 42. Asia Pacific Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 43. China Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 44. China Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 45. China Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 46. China Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 47. Japan Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 48. Japan Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 49. Japan Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 50. Japan Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 51. India Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 52. India Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 53. India Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 54. India Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 55. South Korea Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 56. South Korea Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 57. South Korea Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 58. South Korea Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 59. Taiwan Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 60. Taiwan Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 61. Taiwan Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 62. Taiwan Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 63. Australia Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 64. Australia Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 65. Australia Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 66. Australia Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 67. Rest of Asia-Pacific Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 68. Rest of Asia-Pacific Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 69. Rest of Asia-Pacific Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 70. Rest of Asia-Pacific Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 71. Europe Supply Chain Analytics, by Country USD Billion (2018-2023)
  • Table 72. Europe Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 73. Europe Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 74. Europe Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 75. Europe Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 76. Germany Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 77. Germany Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 78. Germany Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 79. Germany Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 80. France Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 81. France Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 82. France Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 83. France Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 84. Italy Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 85. Italy Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 86. Italy Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 87. Italy Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 88. United Kingdom Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 89. United Kingdom Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 90. United Kingdom Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 91. United Kingdom Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 92. Netherlands Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 93. Netherlands Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 94. Netherlands Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 95. Netherlands Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 96. Rest of Europe Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 97. Rest of Europe Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 98. Rest of Europe Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 99. Rest of Europe Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 100. MEA Supply Chain Analytics, by Country USD Billion (2018-2023)
  • Table 101. MEA Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 102. MEA Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 103. MEA Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 104. MEA Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 105. Middle East Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 106. Middle East Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 107. Middle East Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 108. Middle East Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 109. Africa Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 110. Africa Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 111. Africa Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 112. Africa Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 113. North America Supply Chain Analytics, by Country USD Billion (2018-2023)
  • Table 114. North America Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 115. North America Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 116. North America Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 117. North America Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 118. United States Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 119. United States Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 120. United States Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 121. United States Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 122. Canada Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 123. Canada Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 124. Canada Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 125. Canada Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 126. Mexico Supply Chain Analytics, by Type USD Billion (2018-2023)
  • Table 127. Mexico Supply Chain Analytics, by End Users USD Billion (2018-2023)
  • Table 128. Mexico Supply Chain Analytics, by Enterprise Size USD Billion (2018-2023)
  • Table 129. Mexico Supply Chain Analytics, by Deployment Type USD Billion (2018-2023)
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Supply Chain Analytics: by Type(USD Billion)
  • Table 141. Supply Chain Analytics Logistics Analytics , by Region USD Billion (2025-2030)
  • Table 142. Supply Chain Analytics Manufacturing Analytics , by Region USD Billion (2025-2030)
  • Table 143. Supply Chain Analytics Planning & Procurement , by Region USD Billion (2025-2030)
  • Table 144. Supply Chain Analytics Sales & Operations Analytics , by Region USD Billion (2025-2030)
  • Table 145. Supply Chain Analytics Visualization & Reporting , by Region USD Billion (2025-2030)
  • Table 146. Supply Chain Analytics: by End Users(USD Billion)
  • Table 147. Supply Chain Analytics Retail & Consumer Goods , by Region USD Billion (2025-2030)
  • Table 148. Supply Chain Analytics Healthcare , by Region USD Billion (2025-2030)
  • Table 149. Supply Chain Analytics Manufacturing , by Region USD Billion (2025-2030)
  • Table 150. Supply Chain Analytics Transportation , by Region USD Billion (2025-2030)
  • Table 151. Supply Chain Analytics Aerospace & Defense , by Region USD Billion (2025-2030)
  • Table 152. Supply Chain Analytics High Technology Products , by Region USD Billion (2025-2030)
  • Table 153. Supply Chain Analytics Others , by Region USD Billion (2025-2030)
  • Table 154. Supply Chain Analytics: by Enterprise Size(USD Billion)
  • Table 155. Supply Chain Analytics Large Enterprise , by Region USD Billion (2025-2030)
  • Table 156. Supply Chain Analytics Small & Medium Enterprises , by Region USD Billion (2025-2030)
  • Table 157. Supply Chain Analytics: by Deployment Type(USD Billion)
  • Table 158. Supply Chain Analytics Cloud , by Region USD Billion (2025-2030)
  • Table 159. Supply Chain Analytics On-premise , by Region USD Billion (2025-2030)
  • Table 160. South America Supply Chain Analytics, by Country USD Billion (2025-2030)
  • Table 161. South America Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 162. South America Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 163. South America Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 164. South America Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 165. Brazil Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 166. Brazil Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 167. Brazil Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 168. Brazil Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 169. Argentina Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 170. Argentina Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 171. Argentina Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 172. Argentina Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 173. Rest of South America Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 174. Rest of South America Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 175. Rest of South America Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 176. Rest of South America Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 177. Asia Pacific Supply Chain Analytics, by Country USD Billion (2025-2030)
  • Table 178. Asia Pacific Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 179. Asia Pacific Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 180. Asia Pacific Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 181. Asia Pacific Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 182. China Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 183. China Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 184. China Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 185. China Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 186. Japan Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 187. Japan Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 188. Japan Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 189. Japan Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 190. India Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 191. India Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 192. India Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 193. India Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 194. South Korea Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 195. South Korea Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 196. South Korea Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 197. South Korea Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 198. Taiwan Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 199. Taiwan Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 200. Taiwan Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 201. Taiwan Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 202. Australia Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 203. Australia Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 204. Australia Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 205. Australia Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 206. Rest of Asia-Pacific Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 207. Rest of Asia-Pacific Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 208. Rest of Asia-Pacific Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 209. Rest of Asia-Pacific Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 210. Europe Supply Chain Analytics, by Country USD Billion (2025-2030)
  • Table 211. Europe Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 212. Europe Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 213. Europe Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 214. Europe Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 215. Germany Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 216. Germany Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 217. Germany Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 218. Germany Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 219. France Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 220. France Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 221. France Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 222. France Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 223. Italy Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 224. Italy Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 225. Italy Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 226. Italy Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 227. United Kingdom Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 228. United Kingdom Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 229. United Kingdom Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 230. United Kingdom Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 231. Netherlands Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 232. Netherlands Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 233. Netherlands Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 234. Netherlands Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 235. Rest of Europe Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 236. Rest of Europe Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 237. Rest of Europe Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 238. Rest of Europe Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 239. MEA Supply Chain Analytics, by Country USD Billion (2025-2030)
  • Table 240. MEA Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 241. MEA Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 242. MEA Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 243. MEA Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 244. Middle East Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 245. Middle East Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 246. Middle East Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 247. Middle East Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 248. Africa Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 249. Africa Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 250. Africa Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 251. Africa Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 252. North America Supply Chain Analytics, by Country USD Billion (2025-2030)
  • Table 253. North America Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 254. North America Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 255. North America Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 256. North America Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 257. United States Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 258. United States Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 259. United States Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 260. United States Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 261. Canada Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 262. Canada Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 263. Canada Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 264. Canada Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 265. Mexico Supply Chain Analytics, by Type USD Billion (2025-2030)
  • Table 266. Mexico Supply Chain Analytics, by End Users USD Billion (2025-2030)
  • Table 267. Mexico Supply Chain Analytics, by Enterprise Size USD Billion (2025-2030)
  • Table 268. Mexico Supply Chain Analytics, by Deployment Type USD Billion (2025-2030)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. 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 Analytics: by Type USD Billion (2018-2023)
  • Figure 5. Global Supply Chain Analytics: by End Users USD Billion (2018-2023)
  • Figure 6. Global Supply Chain Analytics: by Enterprise Size USD Billion (2018-2023)
  • Figure 7. Global Supply Chain Analytics: by Deployment Type USD Billion (2018-2023)
  • Figure 8. South America Supply Chain Analytics Share (%), by Country
  • Figure 9. Asia Pacific Supply Chain Analytics Share (%), by Country
  • Figure 10. Europe Supply Chain Analytics Share (%), by Country
  • Figure 11. MEA Supply Chain Analytics Share (%), by Country
  • Figure 12. North America Supply Chain Analytics Share (%), by Country
  • Figure 13. Global Supply Chain Analytics share by Players 2023 (%)
  • Figure 14. Global Supply Chain Analytics share by Players (Top 3) 2023(%)
  • Figure 15. Global Supply Chain Analytics share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. SAS Institute Inc. [United States] Revenue, Net Income and Gross profit
  • Figure 18. SAS Institute Inc. [United States] Revenue: by Geography 2023
  • Figure 19. SAP SE [Germany] Revenue, Net Income and Gross profit
  • Figure 20. SAP SE [Germany] Revenue: by Geography 2023
  • Figure 21. IBM Corporation [United States] Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation [United States] Revenue: by Geography 2023
  • Figure 23. Oracle Corporation [United States] Revenue, Net Income and Gross profit
  • Figure 24. Oracle Corporation [United States] Revenue: by Geography 2023
  • Figure 25. Sage Clarity Systems [United States] Revenue, Net Income and Gross profit
  • Figure 26. Sage Clarity Systems [United States] Revenue: by Geography 2023
  • Figure 27. Kinaxis Inc. [ Canada] Revenue, Net Income and Gross profit
  • Figure 28. Kinaxis Inc. [ Canada] Revenue: by Geography 2023
  • Figure 29. MicroStrategy Inc. [United States] Revenue, Net Income and Gross profit
  • Figure 30. MicroStrategy Inc. [United States] Revenue: by Geography 2023
  • Figure 31. Genpact Ltd. [United States] Revenue, Net Income and Gross profit
  • Figure 32. Genpact Ltd. [United States] Revenue: by Geography 2023
  • Figure 33. Capgemini Group [France] Revenue, Net Income and Gross profit
  • Figure 34. Capgemini Group [France] Revenue: by Geography 2023
  • Figure 35. Birst [United States] Revenue, Net Income and Gross profit
  • Figure 36. Birst [United States] Revenue: by Geography 2023
  • Figure 37. Global Supply Chain Analytics: by Type USD Billion (2025-2030)
  • Figure 38. Global Supply Chain Analytics: by End Users USD Billion (2025-2030)
  • Figure 39. Global Supply Chain Analytics: by Enterprise Size USD Billion (2025-2030)
  • Figure 40. Global Supply Chain Analytics: by Deployment Type USD Billion (2025-2030)
  • Figure 41. South America Supply Chain Analytics Share (%), by Country
  • Figure 42. Asia Pacific Supply Chain Analytics Share (%), by Country
  • Figure 43. Europe Supply Chain Analytics Share (%), by Country
  • Figure 44. MEA Supply Chain Analytics Share (%), by Country
  • Figure 45. North America Supply Chain Analytics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • SAS Institute Inc. [United States]
  • SAP SE [Germany]
  • IBM Corporation [United States]
  • Oracle Corporation [United States]
  • Sage Clarity Systems [United States]
  • Kinaxis Inc. [ Canada]
  • MicroStrategy Inc. [United States]
  • Genpact Ltd. [United States]
  • Capgemini Group [France]
  • Birst [United States]
Additional players considered in the study are as follows:
Software AG [Germany] , Tableau [United States] , Qlik [United States] , TIBCO [United States] , Cloudera [united States] , Logility [United States] , Savi Technology [United States] , Infor [United States] , RELEX Solutions [Finland] , TARGIT [Denmark] , Voxware [United States] , The AnyLogic Company [United States] , Antuit [United States] , Axway [United States] , AIMMS [Netherlands]
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Feb 2024 224 Pages 68 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Supply Chain Analytics Market research Quantitative research analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as SAS Institute Inc. [United States], SAP SE [Germany], IBM Corporation [United States], Oracle Corporation [United States], Sage Clarity Systems [United States], Kinaxis Inc. [ Canada], MicroStrategy Inc. [United States], Genpact Ltd. [United States], Capgemini Group [France] and Birst [United States] etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Growing Adoption of Cloud Based Supply Chain Analytics " is seen as one of major influencing trends for Supply Chain Analytics Market during projected period 2023-2030.
The Supply Chain Analytics market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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