Global Supply Chain Optimization Market

Supply Chain Optimization Comprehensive Study by Type (By Type, Supply Chain Optimization market has been segmented into, Supply Chain Planning, Supply Chain Strategy), By Solution (Logistics Analytics, Manufacturing Analytics, Planning & Procurement, Sales & Operations Analytics, Visualization & Reporting), By End USer (Manufacturing, Retail & Consumer Goods, Aerospace & Defense, Healthcare, Transportation, Others), By Deployment Mode (Cloud, On Premise), By Solution (Logistics Analytics, Manufacturing Analytics, Planning & Procurement, Sales & Operations Analytics, Visualization & Reporting), By Enterprise (Small Enterprise, Large Enterprise) Players and Region - Global Market Outlook to 2027

Supply Chain Optimization Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Supply Chain Optimization Market Scope
Rising data flow rates, as well as the ongoing need for a unified cost-cutting solution, are expected to drive demand for supply chin optimization solutions across industry verticals. Supply chain optimization means operating supply chain at peak efficiency the goal is to provide products to customers at the lowest total cost while making the most profit. This includes optimising inventory placement within the supply chain and minimising operating costs such as manufacturing, transportation, and distribution costs. Optimization frequently involves the use of mathematical modelling techniques with computer software. It is frequently considered a subset of supply chain engineering, though the latter is primarily concerned with mathematical modelling approaches, whereas supply chain optimization can also be accomplished through qualitative, management-based approaches.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)
Key Companies ProfiledApple (United States), Deloitte Consulting (United Kingdom), Bain and Company (United States), Cognizant (United States), McKinsey & Company (United States), KPMG Advisory (Netherland), Genpact (United States), IBM (United States), Microsoft (United States), Accenture Consulting ( Ireland), Infosys Consulting (United States), Tata Consultancy Services (India), Oracle Consulting (United States), Capgemini Consulting (France) and Boston Consulting Group (United States)
CAGR%


The market is highly competitive, with major key players such as IBM, Microsoft, and Oracle consulting leading the market and holding a significant market share. To achieve a global presence, the companies are expanding their operations through mergers and acquisitions and launching new services. Research Analyst at AMA estimates that United States Manufacturers will contribute to the maximum growth of Global Supply Chain Optimization market throughout the predicted period.

Apple (United States), Deloitte Consulting (United Kingdom), Bain and Company (United States), Cognizant (United States), McKinsey & Company (United States), KPMG Advisory (Netherland), Genpact (United States), IBM (United States), Microsoft (United States), Accenture Consulting ( Ireland), Infosys Consulting (United States), Tata Consultancy Services (India), Oracle Consulting (United States), Capgemini Consulting (France) and Boston Consulting Group (United States) are some of the key players that are part of study coverage. Additionally, the Manufacturers which are also part of the research are Booz Allen Hamilton, CGI Group, PricewaterhouseCoopers Advisory, Ernst & Young Advisory and Axis Global Logistics.

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 the total available market.

Segmentation Overview
The study have segmented the market of Global Supply Chain Optimization market by Type and Region with country level break-up.

On the basis of geography, the market of Supply Chain Optimization 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). region held largest market share in the year 2021.

Market Leaders and their expansionary development strategies
In February 2022, Deloitte Consulting announced that it had acquired NTC to Transform the Media Supply Chain. Deloitte consulting has acquired substantially all of the assets of National Teleconsultants LLC (NTC), a leading technology firm with deep engineering expertise in the media and broadcast domains., and In March 2022, Accenture Acquires Alfa Consulting, Expands Supply Chain Capabilities in Capital Intensive Industries. Alfa Consulting is a consulting firm that specialises in capital-intensive operations strategy. Accenture's capabilities for assisting clients in Spain, Portugal, and México in transforming their supply chains to be more resilient, responsive, and sustainable are strengthened by the acquisition.
In June 2021, SAP Business Network, which will bring together Ariba Network, SAP Logistics Business Network, and SAP Asset Intelligence Network, is the first step toward creating the world's largest business network. Being a part of this connected community will benefit over 5.5 million organisations. and In April 2021, Locus launches NodeIQ to optimize strategic supply chain decisions and improve customer profits. NodeIQ automates strategic supply chain decisions affecting four critical areas: flow, location, inventory, and strategic sourcing. Users can use NodeIQ to optimise the movement of goods, from raw materials to finished product delivery, as well as identify optimal facility locations to address supply and demand gaps, optimise stock levels, and improve strategic sourcing.


Supply Chain Optimization Market Dynamics:
AttributesDetails
Trends Influencing Market
  • Advancement of technology such as Artificial Intelligence and machine learning in the supply chain technology
  • The rise of e-commerce and need for the efficient supply chain optimisation
Key Restraints
  • Increasing cyber threat attacks and data security concerns restrict the market growth
Challenges
  • Lack of skilled personnel hampers the market growth
Market Opportunities
  • Increasing adoption of cloud-based supply chain analytics
  • Increasing organisational awareness of supply chain analytics tools opens up tremendous opportunities for the market


Key Target Audience
New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By Type
  • By Type, Supply Chain Optimization market has been segmented into
  • Supply Chain Planning
  • Supply Chain Strategy
By By Solution
  • Logistics Analytics
  • Manufacturing Analytics
  • Planning & Procurement
  • Sales & Operations Analytics
  • Visualization & Reporting

By By End USer
  • Manufacturing
  • Retail & Consumer Goods
  • Aerospace & Defense
  • Healthcare
  • Transportation
  • Others

By By Deployment Mode
  • Cloud
  • On Premise

By By Solution
  • Logistics Analytics
  • Manufacturing Analytics
  • Planning & Procurement
  • Sales & Operations Analytics
  • Visualization & Reporting

By By Enterprise
  • Small Enterprise
  • Large Enterprise

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. Increasing data velocity by organisations, as well as the need to improve operational and supply chain efficiencies, drive market growth.
      • 3.2.2. The widespread use of IOT devices in various industries propels market growth.
    • 3.3. Market Challenges
      • 3.3.1. Lack of skilled personnel hampers the market growth
    • 3.4. Market Trends
      • 3.4.1. Advancement of technology such as Artificial Intelligence and machine learning in the supply chain technology
      • 3.4.2. The rise of e-commerce and need for the efficient supply chain optimisation
  • 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 Optimization, by Type, By Solution, By End USer , By Deployment Mode , By Solution , By Enterprise and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Supply Chain Optimization (Value)
      • 5.2.1. Global Supply Chain Optimization by: Type (Value)
        • 5.2.1.1. By Type, Supply Chain Optimization market has been segmented into
        • 5.2.1.2. Supply Chain Planning
        • 5.2.1.3. Supply Chain Strategy
      • 5.2.2. Global Supply Chain Optimization by: By Solution (Value)
        • 5.2.2.1. Logistics Analytics
        • 5.2.2.2. Manufacturing Analytics
        • 5.2.2.3. Planning & Procurement
        • 5.2.2.4. Sales & Operations Analytics
        • 5.2.2.5. Visualization & Reporting
      • 5.2.3. Global Supply Chain Optimization by: By Solution (Value)
        • 5.2.3.1. Logistics Analytics
        • 5.2.3.2. Manufacturing Analytics
        • 5.2.3.3. Planning & Procurement
        • 5.2.3.4. Sales & Operations Analytics
        • 5.2.3.5. Visualization & Reporting
      • 5.2.4. Global Supply Chain Optimization 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 Supply Chain Optimization (Price)
      • 5.3.1. Global Supply Chain Optimization by: Type (Price)
  • 6. Supply Chain Optimization: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Apple (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. Deloitte Consulting (United Kingdom)
        • 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. Bain and Company (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. Cognizant (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. McKinsey & Company (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. KPMG Advisory (Netherland)
        • 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. Genpact (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. IBM (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. Microsoft (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. Accenture Consulting ( Ireland)
        • 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. Infosys Consulting (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. Tata Consultancy Services (India)
        • 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. Oracle Consulting (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. Capgemini Consulting (France)
        • 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. Boston Consulting Group (United States)
        • 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 Optimization Sale, by Type, By Solution, By End USer , By Deployment Mode , By Solution , By Enterprise and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Supply Chain Optimization (Value)
      • 7.2.1. Global Supply Chain Optimization by: Type (Value)
        • 7.2.1.1. By Type, Supply Chain Optimization market has been segmented into
        • 7.2.1.2. Supply Chain Planning
        • 7.2.1.3. Supply Chain Strategy
      • 7.2.2. Global Supply Chain Optimization by: By Solution (Value)
        • 7.2.2.1. Logistics Analytics
        • 7.2.2.2. Manufacturing Analytics
        • 7.2.2.3. Planning & Procurement
        • 7.2.2.4. Sales & Operations Analytics
        • 7.2.2.5. Visualization & Reporting
      • 7.2.3. Global Supply Chain Optimization by: By Solution (Value)
        • 7.2.3.1. Logistics Analytics
        • 7.2.3.2. Manufacturing Analytics
        • 7.2.3.3. Planning & Procurement
        • 7.2.3.4. Sales & Operations Analytics
        • 7.2.3.5. Visualization & Reporting
      • 7.2.4. Global Supply Chain Optimization 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 Supply Chain Optimization (Price)
      • 7.3.1. Global Supply Chain Optimization by: Type (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 Optimization: by Type(USD Million)
  • Table 2. Supply Chain Optimization By Type, Supply Chain Optimization market has been segmented into , by Region USD Million (2016-2021)
  • Table 3. Supply Chain Optimization Supply Chain Planning , by Region USD Million (2016-2021)
  • Table 4. Supply Chain Optimization Supply Chain Strategy , by Region USD Million (2016-2021)
  • Table 5. Supply Chain Optimization: by By Solution(USD Million)
  • Table 6. Supply Chain Optimization Logistics Analytics , by Region USD Million (2016-2021)
  • Table 7. Supply Chain Optimization Manufacturing Analytics , by Region USD Million (2016-2021)
  • Table 8. Supply Chain Optimization Planning & Procurement , by Region USD Million (2016-2021)
  • Table 9. Supply Chain Optimization Sales & Operations Analytics , by Region USD Million (2016-2021)
  • Table 10. Supply Chain Optimization Visualization & Reporting , by Region USD Million (2016-2021)
  • Table 11. Supply Chain Optimization: by By Solution(USD Million)
  • Table 12. Supply Chain Optimization Logistics Analytics , by Region USD Million (2016-2021)
  • Table 13. Supply Chain Optimization Manufacturing Analytics , by Region USD Million (2016-2021)
  • Table 14. Supply Chain Optimization Planning & Procurement , by Region USD Million (2016-2021)
  • Table 15. Supply Chain Optimization Sales & Operations Analytics , by Region USD Million (2016-2021)
  • Table 16. Supply Chain Optimization Visualization & Reporting , by Region USD Million (2016-2021)
  • Table 17. South America Supply Chain Optimization, by Country USD Million (2016-2021)
  • Table 18. South America Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 19. South America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 20. South America Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 21. South America Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 22. South America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 23. South America Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 24. Brazil Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 25. Brazil Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 26. Brazil Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 27. Brazil Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 28. Brazil Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 29. Brazil Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 30. Argentina Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 31. Argentina Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 32. Argentina Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 33. Argentina Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 34. Argentina Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 35. Argentina Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 36. Rest of South America Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 37. Rest of South America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 38. Rest of South America Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 39. Rest of South America Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 40. Rest of South America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 41. Rest of South America Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 42. Asia Pacific Supply Chain Optimization, by Country USD Million (2016-2021)
  • Table 43. Asia Pacific Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 44. Asia Pacific Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 45. Asia Pacific Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 46. Asia Pacific Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 47. Asia Pacific Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 48. Asia Pacific Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 49. China Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 50. China Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 51. China Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 52. China Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 53. China Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 54. China Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 55. Japan Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 56. Japan Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 57. Japan Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 58. Japan Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 59. Japan Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 60. Japan Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 61. India Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 62. India Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 63. India Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 64. India Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 65. India Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 66. India Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 67. South Korea Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 68. South Korea Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 69. South Korea Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 70. South Korea Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 71. South Korea Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 72. South Korea Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 73. Taiwan Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 74. Taiwan Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 75. Taiwan Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 76. Taiwan Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 77. Taiwan Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 78. Taiwan Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 79. Australia Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 80. Australia Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 81. Australia Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 82. Australia Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 83. Australia Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 84. Australia Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 85. Rest of Asia-Pacific Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 86. Rest of Asia-Pacific Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 87. Rest of Asia-Pacific Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 88. Rest of Asia-Pacific Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 89. Rest of Asia-Pacific Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 90. Rest of Asia-Pacific Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 91. Europe Supply Chain Optimization, by Country USD Million (2016-2021)
  • Table 92. Europe Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 93. Europe Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 94. Europe Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 95. Europe Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 96. Europe Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 97. Europe Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 98. Germany Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 99. Germany Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 100. Germany Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 101. Germany Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 102. Germany Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 103. Germany Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 104. France Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 105. France Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 106. France Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 107. France Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 108. France Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 109. France Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 110. Italy Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 111. Italy Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 112. Italy Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 113. Italy Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 114. Italy Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 115. Italy Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 116. United Kingdom Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 117. United Kingdom Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 118. United Kingdom Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 119. United Kingdom Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 120. United Kingdom Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 121. United Kingdom Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 122. Netherlands Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 123. Netherlands Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 124. Netherlands Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 125. Netherlands Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 126. Netherlands Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 127. Netherlands Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 128. Rest of Europe Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 129. Rest of Europe Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 130. Rest of Europe Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 131. Rest of Europe Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 132. Rest of Europe Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 133. Rest of Europe Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 134. MEA Supply Chain Optimization, by Country USD Million (2016-2021)
  • Table 135. MEA Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 136. MEA Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 137. MEA Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 138. MEA Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 139. MEA Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 140. MEA Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 141. Middle East Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 142. Middle East Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 143. Middle East Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 144. Middle East Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 145. Middle East Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 146. Middle East Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 147. Africa Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 148. Africa Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 149. Africa Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 150. Africa Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 151. Africa Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 152. Africa Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 153. North America Supply Chain Optimization, by Country USD Million (2016-2021)
  • Table 154. North America Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 155. North America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 156. North America Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 157. North America Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 158. North America Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 159. North America Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 160. United States Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 161. United States Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 162. United States Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 163. United States Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 164. United States Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 165. United States Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 166. Canada Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 167. Canada Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 168. Canada Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 169. Canada Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 170. Canada Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 171. Canada Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 172. Mexico Supply Chain Optimization, by Type USD Million (2016-2021)
  • Table 173. Mexico Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 174. Mexico Supply Chain Optimization, by By End USer USD Million (2016-2021)
  • Table 175. Mexico Supply Chain Optimization, by By Deployment Mode USD Million (2016-2021)
  • Table 176. Mexico Supply Chain Optimization, by By Solution USD Million (2016-2021)
  • Table 177. Mexico Supply Chain Optimization, by By Enterprise USD Million (2016-2021)
  • Table 178. Supply Chain Optimization: by Type(USD/Units)
  • Table 179. Company Basic Information, Sales Area and Its Competitors
  • Table 180. Company Basic Information, Sales Area and Its Competitors
  • Table 181. Company Basic Information, Sales Area and Its Competitors
  • Table 182. Company Basic Information, Sales Area and Its Competitors
  • Table 183. Company Basic Information, Sales Area and Its Competitors
  • Table 184. Company Basic Information, Sales Area and Its Competitors
  • Table 185. Company Basic Information, Sales Area and Its Competitors
  • Table 186. Company Basic Information, Sales Area and Its Competitors
  • Table 187. Company Basic Information, Sales Area and Its Competitors
  • Table 188. Company Basic Information, Sales Area and Its Competitors
  • Table 189. Company Basic Information, Sales Area and Its Competitors
  • Table 190. Company Basic Information, Sales Area and Its Competitors
  • Table 191. Company Basic Information, Sales Area and Its Competitors
  • Table 192. Company Basic Information, Sales Area and Its Competitors
  • Table 193. Company Basic Information, Sales Area and Its Competitors
  • Table 194. Supply Chain Optimization: by Type(USD Million)
  • Table 195. Supply Chain Optimization By Type, Supply Chain Optimization market has been segmented into , by Region USD Million (2022-2027)
  • Table 196. Supply Chain Optimization Supply Chain Planning , by Region USD Million (2022-2027)
  • Table 197. Supply Chain Optimization Supply Chain Strategy , by Region USD Million (2022-2027)
  • Table 198. Supply Chain Optimization: by By Solution(USD Million)
  • Table 199. Supply Chain Optimization Logistics Analytics , by Region USD Million (2022-2027)
  • Table 200. Supply Chain Optimization Manufacturing Analytics , by Region USD Million (2022-2027)
  • Table 201. Supply Chain Optimization Planning & Procurement , by Region USD Million (2022-2027)
  • Table 202. Supply Chain Optimization Sales & Operations Analytics , by Region USD Million (2022-2027)
  • Table 203. Supply Chain Optimization Visualization & Reporting , by Region USD Million (2022-2027)
  • Table 204. Supply Chain Optimization: by By Solution(USD Million)
  • Table 205. Supply Chain Optimization Logistics Analytics , by Region USD Million (2022-2027)
  • Table 206. Supply Chain Optimization Manufacturing Analytics , by Region USD Million (2022-2027)
  • Table 207. Supply Chain Optimization Planning & Procurement , by Region USD Million (2022-2027)
  • Table 208. Supply Chain Optimization Sales & Operations Analytics , by Region USD Million (2022-2027)
  • Table 209. Supply Chain Optimization Visualization & Reporting , by Region USD Million (2022-2027)
  • Table 210. South America Supply Chain Optimization, by Country USD Million (2022-2027)
  • Table 211. South America Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 212. South America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 213. South America Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 214. South America Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 215. South America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 216. South America Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 217. Brazil Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 218. Brazil Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 219. Brazil Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 220. Brazil Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 221. Brazil Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 222. Brazil Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 223. Argentina Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 224. Argentina Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 225. Argentina Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 226. Argentina Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 227. Argentina Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 228. Argentina Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 229. Rest of South America Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 230. Rest of South America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 231. Rest of South America Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 232. Rest of South America Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 233. Rest of South America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 234. Rest of South America Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 235. Asia Pacific Supply Chain Optimization, by Country USD Million (2022-2027)
  • Table 236. Asia Pacific Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 237. Asia Pacific Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 238. Asia Pacific Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 239. Asia Pacific Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 240. Asia Pacific Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 241. Asia Pacific Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 242. China Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 243. China Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 244. China Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 245. China Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 246. China Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 247. China Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 248. Japan Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 249. Japan Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 250. Japan Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 251. Japan Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 252. Japan Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 253. Japan Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 254. India Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 255. India Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 256. India Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 257. India Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 258. India Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 259. India Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 260. South Korea Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 261. South Korea Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 262. South Korea Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 263. South Korea Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 264. South Korea Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 265. South Korea Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 266. Taiwan Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 267. Taiwan Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 268. Taiwan Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 269. Taiwan Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 270. Taiwan Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 271. Taiwan Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 272. Australia Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 273. Australia Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 274. Australia Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 275. Australia Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 276. Australia Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 277. Australia Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 278. Rest of Asia-Pacific Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 279. Rest of Asia-Pacific Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 280. Rest of Asia-Pacific Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 281. Rest of Asia-Pacific Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 282. Rest of Asia-Pacific Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 283. Rest of Asia-Pacific Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 284. Europe Supply Chain Optimization, by Country USD Million (2022-2027)
  • Table 285. Europe Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 286. Europe Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 287. Europe Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 288. Europe Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 289. Europe Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 290. Europe Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 291. Germany Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 292. Germany Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 293. Germany Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 294. Germany Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 295. Germany Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 296. Germany Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 297. France Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 298. France Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 299. France Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 300. France Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 301. France Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 302. France Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 303. Italy Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 304. Italy Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 305. Italy Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 306. Italy Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 307. Italy Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 308. Italy Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 309. United Kingdom Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 310. United Kingdom Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 311. United Kingdom Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 312. United Kingdom Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 313. United Kingdom Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 314. United Kingdom Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 315. Netherlands Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 316. Netherlands Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 317. Netherlands Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 318. Netherlands Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 319. Netherlands Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 320. Netherlands Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 321. Rest of Europe Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 322. Rest of Europe Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 323. Rest of Europe Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 324. Rest of Europe Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 325. Rest of Europe Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 326. Rest of Europe Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 327. MEA Supply Chain Optimization, by Country USD Million (2022-2027)
  • Table 328. MEA Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 329. MEA Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 330. MEA Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 331. MEA Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 332. MEA Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 333. MEA Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 334. Middle East Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 335. Middle East Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 336. Middle East Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 337. Middle East Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 338. Middle East Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 339. Middle East Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 340. Africa Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 341. Africa Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 342. Africa Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 343. Africa Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 344. Africa Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 345. Africa Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 346. North America Supply Chain Optimization, by Country USD Million (2022-2027)
  • Table 347. North America Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 348. North America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 349. North America Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 350. North America Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 351. North America Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 352. North America Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 353. United States Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 354. United States Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 355. United States Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 356. United States Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 357. United States Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 358. United States Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 359. Canada Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 360. Canada Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 361. Canada Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 362. Canada Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 363. Canada Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 364. Canada Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 365. Mexico Supply Chain Optimization, by Type USD Million (2022-2027)
  • Table 366. Mexico Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 367. Mexico Supply Chain Optimization, by By End USer USD Million (2022-2027)
  • Table 368. Mexico Supply Chain Optimization, by By Deployment Mode USD Million (2022-2027)
  • Table 369. Mexico Supply Chain Optimization, by By Solution USD Million (2022-2027)
  • Table 370. Mexico Supply Chain Optimization, by By Enterprise USD Million (2022-2027)
  • Table 371. Supply Chain Optimization: by Type(USD/Units)
  • Table 372. Research Programs/Design for This Report
  • Table 373. Key Data Information from Secondary Sources
  • Table 374. 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 Optimization: by Type USD Million (2016-2021)
  • Figure 5. Global Supply Chain Optimization: by By Solution USD Million (2016-2021)
  • Figure 6. Global Supply Chain Optimization: by By Solution USD Million (2016-2021)
  • Figure 7. South America Supply Chain Optimization Share (%), by Country
  • Figure 8. Asia Pacific Supply Chain Optimization Share (%), by Country
  • Figure 9. Europe Supply Chain Optimization Share (%), by Country
  • Figure 10. MEA Supply Chain Optimization Share (%), by Country
  • Figure 11. North America Supply Chain Optimization Share (%), by Country
  • Figure 12. Global Supply Chain Optimization: by Type USD/Units (2016-2021)
  • Figure 13. Global Supply Chain Optimization share by Players 2021 (%)
  • Figure 14. Global Supply Chain Optimization share by Players (Top 3) 2021(%)
  • Figure 15. Global Supply Chain Optimization share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 18. Apple (United States) Revenue: by Geography 2021
  • Figure 19. Deloitte Consulting (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 20. Deloitte Consulting (United Kingdom) Revenue: by Geography 2021
  • Figure 21. Bain and Company (United States) Revenue, Net Income and Gross profit
  • Figure 22. Bain and Company (United States) Revenue: by Geography 2021
  • Figure 23. Cognizant (United States) Revenue, Net Income and Gross profit
  • Figure 24. Cognizant (United States) Revenue: by Geography 2021
  • Figure 25. McKinsey & Company (United States) Revenue, Net Income and Gross profit
  • Figure 26. McKinsey & Company (United States) Revenue: by Geography 2021
  • Figure 27. KPMG Advisory (Netherland) Revenue, Net Income and Gross profit
  • Figure 28. KPMG Advisory (Netherland) Revenue: by Geography 2021
  • Figure 29. Genpact (United States) Revenue, Net Income and Gross profit
  • Figure 30. Genpact (United States) Revenue: by Geography 2021
  • Figure 31. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 32. IBM (United States) Revenue: by Geography 2021
  • Figure 33. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 34. Microsoft (United States) Revenue: by Geography 2021
  • Figure 35. Accenture Consulting ( Ireland) Revenue, Net Income and Gross profit
  • Figure 36. Accenture Consulting ( Ireland) Revenue: by Geography 2021
  • Figure 37. Infosys Consulting (United States) Revenue, Net Income and Gross profit
  • Figure 38. Infosys Consulting (United States) Revenue: by Geography 2021
  • Figure 39. Tata Consultancy Services (India) Revenue, Net Income and Gross profit
  • Figure 40. Tata Consultancy Services (India) Revenue: by Geography 2021
  • Figure 41. Oracle Consulting (United States) Revenue, Net Income and Gross profit
  • Figure 42. Oracle Consulting (United States) Revenue: by Geography 2021
  • Figure 43. Capgemini Consulting (France) Revenue, Net Income and Gross profit
  • Figure 44. Capgemini Consulting (France) Revenue: by Geography 2021
  • Figure 45. Boston Consulting Group (United States) Revenue, Net Income and Gross profit
  • Figure 46. Boston Consulting Group (United States) Revenue: by Geography 2021
  • Figure 47. Global Supply Chain Optimization: by Type USD Million (2022-2027)
  • Figure 48. Global Supply Chain Optimization: by By Solution USD Million (2022-2027)
  • Figure 49. Global Supply Chain Optimization: by By Solution USD Million (2022-2027)
  • Figure 50. South America Supply Chain Optimization Share (%), by Country
  • Figure 51. Asia Pacific Supply Chain Optimization Share (%), by Country
  • Figure 52. Europe Supply Chain Optimization Share (%), by Country
  • Figure 53. MEA Supply Chain Optimization Share (%), by Country
  • Figure 54. North America Supply Chain Optimization Share (%), by Country
  • Figure 55. Global Supply Chain Optimization: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Apple (United States)
  • Deloitte Consulting (United Kingdom)
  • Bain and Company (United States)
  • Cognizant (United States)
  • McKinsey & Company (United States)
  • KPMG Advisory (Netherland)
  • Genpact (United States)
  • IBM (United States)
  • Microsoft (United States)
  • Accenture Consulting ( Ireland)
  • Infosys Consulting (United States)
  • Tata Consultancy Services (India)
  • Oracle Consulting (United States)
  • Capgemini Consulting (France)
  • Boston Consulting Group (United States)
Additional players considered in the study are as follows:
Booz Allen Hamilton , CGI Group , PricewaterhouseCoopers Advisory , Ernst & Young Advisory , Axis Global Logistics
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Jul 2022 227 Pages 85 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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

The key segments that are playing vital role in Supply Chain Optimization Market are by type [By Type, Supply Chain Optimization market has been segmented into, Supply Chain Planning and Supply Chain Strategy], by end use application [].
The Supply Chain Optimization Market is gaining popularity and expected to see strong valuation by 2027.
  • Increasing data velocity by organisations, as well as the need to improve operational and supply chain efficiencies, drive market growth.
  • The widespread use of IOT devices in various industries propels market growth.

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Industrial Safety- Comprehensive Study by Type (General safety, Site- specific safety issues, Process and production safety, Material safety, Systems safety, Fire safety, Electrical safety, Building ...
$ 3800
Fire Rated Duct market Comprehensive Study by Type (By Steel, By Aluminium, By Fibre Glass, By Polymers), Application (Hospitals, Commercials Buildings, Residential Buildings, Government offices) Pla...
$ 3800
Metal Forging Comprehensive Study by Application (Aircraft Parts (Landing Geras, Shafts for Jet Engine), Railroads, Connecting Roads, Fortifying Hand Tools (Chisel, Rivets, Screws, Bolts), Others), I...
$ 3800
Automotive Industry Comprehensive Study by Propulsion Type (ICE Vehicle, Electric Vehicle, Hybrid Vehicle), Vehicle Type (-Passenger Car, Hatchback, Sedan, SUV, MUV, -Commercial Vehicle, LCVs, Heavy ...
$ 3800
Cleaning and Hygiene Products- Comprehensive Study by Type (Detergents & Degreasers, Bleaches, Sanitizers, Abrasives, Others), Application (Toilet, Kitchen, Floor, Surface, Laundry, Hand/Personal Car...
$ 3800