Big Data Market with Focus on Supply Chain Management Research Report: Market size, Industry outlook, Market Forecast, Demand Analysis,Market Share, Market Report 2018-2023
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Big data market
Big Data Market with Focus on Supply Chain Management: Key Trends, Competitive Landscape, Geographic & End-User Segment Analysis (2012-2018)
Report Code : ITR 0013
Updated Date: 15 January, 2018  
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  • Report Description
  • Table of Contents
  • Tables And Figures
  • Customization Options
1. Introduction
   1.1. Key Takeaways
   1.2. Report Description
   1.3. Scope & Markets Covered
   1.4. Stakeholders
2. Executive Summary
3. Big Data Market Overview
   3.1. Introduction
   3.2. Definition
      3.2.1. Big Data
      3.2.2. Supply Chain Management (SCM)
   3.3. Global Big Data Market Overview –Need for Big Data in SCM
      3.3.1. Current Transactional Systems have High System Complexity
      3.3.2. Growing Data Creates Problem of Plenty
      3.3.3. Provision of Structured Data in Big Data
   3.4. Current scenario of big data in SCM
   3.5. Use Cases for Big Data in Supply Chain Management
      3.5.1. Overview
      3.5.2. Big Data in Travel and Transportation Industry
            3.5.2.1. Improving Customer and Operations Insights
            3.5.2.2. Predictive Maintenance Optimization
            3.5.2.3. Capacity and Pricing Optimization
      3.5.3. Big Data in Automotive Industry
      3.5.4. Big Data in Consumer Products or manufacturing Industry
      3.5.5. Big Data in Retail Industry
4. Big Data Market Analysis
   4.1. Market Dynamics
      4.1.1. Market Drivers
            4.1.1.1. Usage of Advanced Analytics to Answer Strategic Questions
            4.1.1.2. Customer Feedback and Online Marketing
            4.1.1.3. Need for Faster Response Systems
            4.1.1.4. Safe Delivery of Products to Clients
            4.1.1.5. Opportunity to Open New Channel Programs
            4.1.1.6. Internet of Things and Machine to Machine (M2M) to Help Digital Manufacturing and Digital Services
            4.1.1.7. Supply Chain Visibility Improvement
      4.1.2. Market Restraints
            4.1.2.1. Data Growth Not Being Matched by Hardware and Storage Capabilities
            4.1.2.2. Concern for Strong Security Features in Big Data Systems
            4.1.2.3. Complex Framework Leads to Performance Issues
      4.1.3. Market Opportunities
            4.1.3.1. Availability of Funding on a Wider Scale
            4.1.3.2. Partnerships between Vendors and Clients
   4.2. Top Supply Chain Companies Analysis
   4.3. Porter’s Analysis
      4.3.1. Threat from New Entrants
      4.3.2. Threat from Substitutes
      4.3.3. Bargaining Power of Suppliers
      4.3.4. Bargaining Power of Customers
      4.3.5. Degree of Competition
5. Case studies of Big Data usage by supply chain companies –(solutions and benefits)
   5.1. Amazon
      5.1.1. Amazon Fulfillment Centers Program
   5.2. IBM
      5.2.1. IBM and Barnes & Noble
            5.2.1.1. Overview and SCM Problems
            5.2.1.2. Solution and Benefits
      5.2.2. IBM andKramm Groep
            5.2.2.1. Overview and SCM Problems
            5.2.2.2. Solution and Benefits
      5.2.3. IBM and Andrews Distributing
            5.2.3.1. Overview and SCM Problem
            5.2.3.2. Solution and Benefits
      5.2.4. IBM and Sudzucker
            5.2.4.1. Overview and SCM Problem
            5.2.4.2. Solution and Benefits
      5.2.5. IBM and FedeFarma
            5.2.5.1. Overview and SCM Problem
            5.2.5.2. Solution and Benefits
      5.2.6. IBM and Cheesecake factory
   5.3. Telogis
      5.3.1. Telogis and Pro’s Ranch Market
            5.3.1.1. Overview and SCM Problems
            5.3.1.2. Solution and Benefits
      5.3.2. Telogis and ITL
            5.3.2.1. Overview and SCM Problems
            5.3.2.2. Solution and Benefits
      5.3.3. Telogis and Supershuttle
            5.3.3.1. Overview and SCM Problems
            5.3.3.2. Solution and Benefits
   5.4. LeanLogistics
      5.4.1. LeanLogistics and Dannon
            5.4.1.1. Overview and SCM Problems
            5.4.1.2. Solution and Benefits
      5.4.2. LeanLogistics and Ace Hardware
            5.4.2.1. Overview and SCM Problems
            5.4.2.2. Solution and Benefits
      5.4.3. LeanLogistics and MTD Products
            5.4.3.1. Overview and SCM Problems
            5.4.3.2. Solution and Benefits
   5.5. Teradata
      5.5.1. Teradata Aster and Supervalu
            5.5.1.1. Overview and SCM Problems
            5.5.1.2. Solution and Benefits
      5.5.2. Teradata and Norfolk Southern Railway Company
            5.5.2.1. Overview and SCM Problems
            5.5.2.2. Solution and Benefits
   5.6. SAP
      5.6.1. SAP HANA and Suning
      5.6.2. SAP HANA and eBay
      5.6.3. SAP HANA and Home Shopping Europe
6. Global Big Data Market Landscape Analysis of Big Data Providers
   6.1. IBM
   6.2. HP
   6.3. Teradata
   6.4. Oracle
   6.5. SAP
   6.6. EMC
   6.7. Amazon
   6.8. Microsoft
   6.9. Google
   6.10. VMware
   6.11. Cloudera
   6.12. Splunk
   6.13. Hortonworks
   6.14. MongoDB
   6.15. MapR
7. Big Data in SCM –Market Analysis
   7.1. Big Data market analysis by industries
   7.2. Big Data in SCM market - analysis by industries
   7.3. Suppliers of Big Data Solutions
   7.4. Big Data in SCM - Solutions Offered
      7.4.1. Retail
      7.4.2. Transportation
   7.5. Competitive Situation and Trends
      7.5.1. Funding and Investments
      7.5.2. Agreements, Partnerships, Joint Ventures and Collaborations
      7.5.3. Mergers and Acquisitions
8. Global Big Data in SCM –Geographic Analysis
   8.1. Global Big Data market –Geographic Analysis
   8.2. Global Big Data in SCM market–Geographic Analysis
9. Key Company Market Snapshots
   9.1. Cloudera
      9.1.1. Company Products & Services
      9.1.2. Strategic Initiatives
      9.1.3. IndustryARC Analysis
   9.2. Karmasphere
      9.2.1. Company Products
      9.2.2. IndustryARC Analysis
   9.3. Pentaho Corporation
      9.3.1. Company Products & Services
      9.3.2. Strategic Initiatives
      9.3.3. IndustryARCAnalysis
   9.4. Zettaset
      9.4.1. Company Products & Services
      9.4.2. Strategic Initiatives
      9.4.3. IndustryARC Analysis
   9.5. Datastax
      9.5.1. Company Products & Services
      9.5.2. Strategic Initiatives
      9.5.3. IndustryARC Analysis
   9.6. Talend
      9.6.1. Company Products &Services
      9.6.2. Strategic Initiatives
      9.6.3. IndustryARC Analysis
   9.7. Amazon
      9.7.1. Company Products & Services
      9.7.2. Strategic Initiatives
      9.7.3. IndustryARC Analysis
   9.8. IBM
      9.8.1. Company Products & Services
      9.8.2. Strategic Initiatives
      9.8.3. IndustryARC Analysis
   9.9. Data Direct Networks
      9.9.1. Company Products & Services
      9.9.2. Strategic Initiatives
      9.9.3. IndustryARC Analysis
   9.10. MapR Technologies
      9.10.1. Company Products & Services
      9.10.2. Strategic Initiatives
      9.10.3. IndustryARC Analysis
   9.11. DELL, INC
      9.11.1. Company Products & Services
      9.11.2. Strategic Initiatives
      9.11.3. IndustryARC Analysis
   9.12. DataSift
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
10. Appendix
   10.1. Sources
   10.2. Acronyms
Big data can be best defined as the capture, curation, storage, search and analysis of large and complex data sets which are generally difficult to be processed or handled by traditional data processing systems. These systems are currently being implemented on a limited scale in many supply chain companies for varied purposes. Most supply chain companies on an average use more than two systems for management purposes. Some have two instances of Enterprise Resource Planning (ERP) software installed for different parts of the supply chain and logistics purposes. Different use cases for the systems are order management; demand planning, warehouse management, price management, production planning, tactical supply planning, transportation planning, product lifecycle management and Manufacturing Execution Systems (MES). This is one major reason for the utilization of Big data in companies. Other in-depth reasons for the need for Big data in SCM have been covered in the report.

Companies for example need to anticipate problems or understand growth through the usage of advanced analytics. Traditional business analytics can answer the questions that leaders know to ask. But the questions that are important but companies do not know to ask are more crucial to build risk mitigation strategies. An important question for example can be about the ways to learn about product and service failures in the market which can be asked and answered through use of Big data predictive analysis. Text mining and rules-based ontologies are some of the techniques which can be used to build listening capabilities to learn early and mitigate issues quickly.

This report discusses the key players in the Big data market by their types of software and solution offerings. The overall Big data market has been segmented into key industry verticals and by the geographic regions on a global scale. The need for Big data in supply chain management has been discussed in detail with the key market drivers, market restraints and opportunities presented in this context. The investment scenario, collaborations and joint ventures of Big data companies has been covered in in-depth analysis to give an insight into the rising interest in Big data players from across the private and government entities.

Sample Companies Profiled in this Report are:
  • Cloudera
  • Karmasphere
  • Pentaho Corporation
  • Zettaset
  • Datastax
  • 10+.
List of Tables

Table1 Big Data Market with Focus on Supply Chain Management Overview 2017-2023
Table2 Big Data Market with Focus on Supply Chain Management Leader Analysis 2017-2018 (US$)
Table3 Big Data Market with Focus on Supply Chain Management Product Analysis 2017-2018 (US$)
Table4 Big Data Market with Focus on Supply Chain Management End User Analysis 2017-2018 (US$)
Table5 Big Data Market with Focus on Supply Chain Management Patent Analysis 2013-2018* (US$)
Table6 Big Data Market with Focus on Supply Chain Management Financial Analysis 2017-2018 (US$)
Table7 Big Data Market with Focus on Supply Chain Management Driver Analysis 2017-2018 (US$)
Table8 Big Data Market with Focus on Supply Chain Management Challenges Analysis 2017-2018 (US$)
Table9 Big Data Market with Focus on Supply Chain Management Constraint Analysis 2017-2018 (US$)
Table10 Big Data Market with Focus on Supply Chain Management Supplier Bargaining Power Analysis 2017-2018 (US$)
Table11 Big Data Market with Focus on Supply Chain Management Buyer Bargaining Power Analysis 2017-2018 (US$)
Table12 Big Data Market with Focus on Supply Chain Management Threat of Substitutes Analysis 2017-2018 (US$)
Table13 Big Data Market with Focus on Supply Chain Management Threat of New Entrants Analysis 2017-2018 (US$)
Table14 Big Data Market with Focus on Supply Chain Management Degree of Competition Analysis 2017-2018 (US$)
Table15 Big Data Market with Focus on Supply Chain Management Value Chain Analysis 2017-2018 (US$)
Table16 Big Data Market with Focus on Supply Chain Management Pricing Analysis 2018-2023 (US$)
Table17 Big Data Market with Focus on Supply Chain Management Opportunities Analysis 2018-2023 (US$)
Table18 Big Data Market with Focus on Supply Chain Management Product Life Cycle Analysis 2018-2023 (US$)
Table19 Big Data Market with Focus on Supply Chain Management Supplier Analysis 2017-2018 (US$)
Table20 Big Data Market with Focus on Supply Chain Management Distributor Analysis 2017-2018 (US$)
Table21 Big Data Market with Focus on Supply Chain Management Trend Analysis 2017-2018 (US$)
Table22 Big Data Market with Focus on Supply Chain Management Size 2017 (US$)
Table23 Big Data Market with Focus on Supply Chain Management Forecast Analysis 2018-2023 (US$)
Table24 Big Data Market with Focus on Supply Chain Management Sales Forecast Analysis 2018-2023 (Units)
Table25 Top Companies 2017 (US$)Big Data Market with Focus on Supply Chain Management , Revenue & Volume,,
Table26 Product Launch 2017-2018Big Data Market with Focus on Supply Chain Management , Revenue & Volume,,
Table27 Mergers & Acquistions 2017-2018Big Data Market with Focus on Supply Chain Management , Revenue & Volume,,


List of Figures

Figure 1 Overview of Big Data Market with Focus on Supply Chain Management 2017-2023
Figure 2 Market Share Analysis for Big Data Market with Focus on Supply Chain Management 2017 (US$)
Figure 3 Product Comparison in Big Data Market with Focus on Supply Chain Management 2017-2018 (US$)
Figure 4 End User Profile for Big Data Market with Focus on Supply Chain Management 2017-2018 (US$)
Figure 5 Patent Application and Grant in Big Data Market with Focus on Supply Chain Management 2013-2018* (US$)
Figure 6 Top 5 Companies Financial Analysis in Big Data Market with Focus on Supply Chain Management 2017-2018 (US$)
Figure 7 Market Entry Strategy in Big Data Market with Focus on Supply Chain Management 2017-2018
Figure 8 Ecosystem Analysis in Big Data Market with Focus on Supply Chain Management 2017
Figure 9 Average Selling Price in Big Data Market with Focus on Supply Chain Management 2017-2023
Figure 10 Top Opportunites in Big Data Market with Focus on Supply Chain Management 2017-2018
Figure 11 Market Life Cycle Analysis in Big Data Market with Focus on Supply Chain Management Market Life Cycle Analysis in 3D Printing
Figure 12 Global Big Data Market with Focus on Supply Chain Management - By Geography
Figure 13 Global Big Data Market with Focus on Supply Chain Management Value & Volume, By Geography, 2018-2023 ($) 
Figure 14 Global Big Data Market with Focus on Supply Chain Management CAGR, By Geography, 2018-2023 (%)
Figure 15 North America Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 16 US Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 17 US GDP and Population, 2017-2018 ($)
Figure 18 US GDP – Composition of 2017, By Sector of Origin
Figure 19 US Export and Import Value & Volume, 2017-2018 ($)
Figure 20 Canada Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 21 Canada GDP and Population, 2017-2018 ($)
Figure 22 Canada GDP – Composition of 2017, By Sector of Origin
Figure 23 Canada Export and Import Value & Volume, 2017-2018 ($)
Figure 24 Mexico Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 25 Mexico GDP and Population, 2017-2018 ($)
Figure 26 Mexico GDP – Composition of 2017, By Sector of Origin
Figure 27 Mexico Export and Import Value & Volume, 2017-2018 ($)
Figure 28 South America Big Data Market with Focus on Supply Chain Management South America 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 29 Brazil Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 30 Brazil GDP and Population, 2017-2018 ($)
Figure 31 Brazil GDP – Composition of 2017, By Sector of Origin
Figure 32 Brazil Export and Import Value & Volume, 2017-2018 ($)
Figure 33 Venezuela Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 34 Venezuela GDP and Population, 2017-2018 ($)
Figure 35 Venezuela GDP – Composition of 2017, By Sector of Origin
Figure 36 Venezuela Export and Import Value & Volume, 2017-2018 ($)
Figure 37 Argentina Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 38 Argentina GDP and Population, 2017-2018 ($)
Figure 39 Argentina GDP – Composition of 2017, By Sector of Origin
Figure 40 Argentina Export and Import Value & Volume, 2017-2018 ($)
Figure 41 Ecuador Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 42 Ecuador GDP and Population, 2017-2018 ($)
Figure 43 Ecuador GDP – Composition of 2017, By Sector of Origin
Figure 44 Ecuador Export and Import Value & Volume, 2017-2018 ($)
Figure 45 Peru Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 46 Peru GDP and Population, 2017-2018 ($)
Figure 47 Peru GDP – Composition of 2017, By Sector of Origin
Figure 48 Peru Export and Import Value & Volume, 2017-2018 ($)
Figure 49 Colombia Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 50 Colombia GDP and Population, 2017-2018 ($)
Figure 51 Colombia GDP – Composition of 2017, By Sector of Origin
Figure 52 Colombia Export and Import Value & Volume, 2017-2018 ($)
Figure 53 Costa Rica Big Data Market with Focus on Supply Chain Management Costa Rica 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 54 Costa Rica GDP and Population, 2017-2018 ($)
Figure 55 Costa Rica GDP – Composition of 2017, By Sector of Origin
Figure 56 Costa Rica Export and Import Value & Volume, 2017-2018 ($)
Figure 57 Europe Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 58 U.K Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 59 U.K GDP and Population, 2017-2018 ($)
Figure 60 U.K GDP – Composition of 2017, By Sector of Origin
Figure 61 U.K Export and Import Value & Volume, 2017-2018 ($)
Figure 62 Germany Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 63 Germany GDP and Population, 2017-2018 ($)
Figure 64 Germany GDP – Composition of 2017, By Sector of Origin
Figure 65 Germany Export and Import Value & Volume, 2017-2018 ($)
Figure 66 Italy Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 67 Italy GDP and Population, 2017-2018 ($)
Figure 68 Italy GDP – Composition of 2017, By Sector of Origin
Figure 69 Italy Export and Import Value & Volume, 2017-2018 ($)
Figure 70 France Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 71 France GDP and Population, 2017-2018 ($)
Figure 72 France GDP – Composition of 2017, By Sector of Origin
Figure 73 France Export and Import Value & Volume, 2017-2018 ($)
Figure 74 Netherlands Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 75 Netherlands GDP and Population, 2017-2018 ($)
Figure 76 Netherlands GDP – Composition of 2017, By Sector of Origin
Figure 77 Netherlands Export and Import Value & Volume, 2017-2018 ($)
Figure 78 Belgium Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 79 Belgium GDP and Population, 2017-2018 ($)
Figure 80 Belgium GDP – Composition of 2017, By Sector of Origin
Figure 81 Belgium Export and Import Value & Volume, 2017-2018 ($)
Figure 82 Spain Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 83 Spain GDP and Population, 2017-2018 ($)
Figure 84 Spain GDP – Composition of 2017, By Sector of Origin
Figure 85 Spain Export and Import Value & Volume, 2017-2018 ($)
Figure 86 Denmark Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 87 Denmark GDP and Population, 2017-2018 ($)
Figure 88 Denmark GDP – Composition of 2017, By Sector of Origin
Figure 89 Denmark Export and Import Value & Volume, 2017-2018 ($)
Figure 90 APAC Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 91 China Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023
Figure 92 China GDP and Population, 2017-2018 ($)
Figure 93 China GDP – Composition of 2017, By Sector of Origin
Figure 94 China Export and Import Value & Volume, 2017-2018 ($)Big Data Market with Focus on Supply Chain Management China Export and Import Value & Volume, 2017-2018 ($)
Figure 95 Australia Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 96 Australia GDP and Population, 2017-2018 ($)
Figure 97 Australia GDP – Composition of 2017, By Sector of Origin
Figure 98 Australia Export and Import Value & Volume, 2017-2018 ($)
Figure 99 South Korea Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 100 South Korea GDP and Population, 2017-2018 ($)
Figure 101 South Korea GDP – Composition of 2017, By Sector of Origin
Figure 102 South Korea Export and Import Value & Volume, 2017-2018 ($)
Figure 103 India Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 104 India GDP and Population, 2017-2018 ($)
Figure 105 India GDP – Composition of 2017, By Sector of Origin
Figure 106 India Export and Import Value & Volume, 2017-2018 ($)
Figure 107 Taiwan Big Data Market with Focus on Supply Chain Management Taiwan 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 108 Taiwan GDP and Population, 2017-2018 ($)
Figure 109 Taiwan GDP – Composition of 2017, By Sector of Origin
Figure 110 Taiwan Export and Import Value & Volume, 2017-2018 ($)
Figure 111 Malaysia Big Data Market with Focus on Supply Chain Management Malaysia 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 112 Malaysia GDP and Population, 2017-2018 ($)
Figure 113 Malaysia GDP – Composition of 2017, By Sector of Origin
Figure 114 Malaysia Export and Import Value & Volume, 2017-2018 ($)
Figure 115 Hong Kong Big Data Market with Focus on Supply Chain Management Hong Kong 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 116 Hong Kong GDP and Population, 2017-2018 ($)
Figure 117 Hong Kong GDP – Composition of 2017, By Sector of Origin
Figure 118 Hong Kong Export and Import Value & Volume, 2017-2018 ($)
Figure 119 Middle East & Africa Big Data Market with Focus on Supply Chain Management Middle East & Africa 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 120 Russia Big Data Market with Focus on Supply Chain Management Russia 3D Printing Market Value & Volume, 2018-2023 ($)
Figure 121 Russia GDP and Population, 2017-2018 ($)
Figure 122 Russia GDP – Composition of 2017, By Sector of Origin
Figure 123 Russia Export and Import Value & Volume, 2017-2018 ($)
Figure 124 Israel Big Data Market with Focus on Supply Chain Management Value & Volume, 2018-2023 ($)
Figure 125 Israel GDP and Population, 2017-2018 ($)
Figure 126 Israel GDP – Composition of 2017, By Sector of Origin
Figure 127 Israel Export and Import Value & Volume, 2017-2018 ($)
Figure 128 Entropy Share, By Strategies, 2017-2018* (%)Big Data Market with Focus on Supply Chain Management
Figure 129 Developments, 2017-2018*Big Data Market with Focus on Supply Chain Management
Figure 130 Company 1 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 131 Company 1 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 132 Company 1 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 133 Company 2 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 134 Company 2 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 135 Company 2 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 136 Company 3Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 137 Company 3Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 138 Company 3Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 139 Company 4 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 140 Company 4 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 141 Company 4 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 142 Company 5 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 143 Company 5 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 144 Company 5 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 145 Company 6 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 146 Company 6 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 147 Company 6 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 148 Company 7 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 149 Company 7 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 150 Company 7 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 151 Company 8 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 152 Company 8 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 153 Company 8 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 154 Company 9 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 155 Company 9 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 156 Company 9 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 157 Company 10 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 158 Company 10 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 159 Company 10 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 160 Company 11 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 161 Company 11 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 162 Company 11 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 163 Company 12 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 164 Company 12 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 165 Company 12 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 166 Company 13Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 167 Company 13Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 168 Company 13Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 169 Company 14 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 170 Company 14 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 171 Company 14 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
Figure 172 Company 15 Big Data Market with Focus on Supply Chain Management Net Revenue, By Years, 2017-2018* ($)
Figure 173 Company 15 Big Data Market with Focus on Supply Chain Management Net Revenue Share, By Business segments, 2017 (%)
Figure 174 Company 15 Big Data Market with Focus on Supply Chain Management Net Sales Share, By Geography, 2017 (%)
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