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Global Supply chain big data analytics Market - By Solution, Deployment Model, Service, Industry, Trends, Forecast - (2017 - 2022)

出版商 Mordor Intelligence LLP 商品編碼 393915
出版日期 內容資訊 英文 94 Pages
商品交期: 最快1-2個工作天內
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供應鏈、巨量資料分析的全球市場:成長率、市場趨勢、未來預測 Global Supply chain big data analytics Market - By Solution, Deployment Model, Service, Industry, Trends, Forecast - (2017 - 2022)
出版日期: 2017年01月19日 內容資訊: 英文 94 Pages

本報告提供全球供應鏈管理用的巨量資料分析的市場相關分析,技術、產品概要和市場基本結構,目前技術水準和今後的開發預測,主要的推動及阻礙市場要素,各地區的市場趨勢預測 (今後6年份),主要企業簡介,今後的投資、市場成長的機會等調查。

第1章 簡介

第2章 摘要整理

第3章 市場概要

  • 簡介
  • 市場定義
  • 重要考察

第4章 推動、阻礙市場要素及機會

  • 推動市場要素
  • 阻礙市場要素
  • 市場機會

第5章 技術現況

  • 技術概要
  • 研究開發 (R&D)的現狀
  • 供應鏈產業上巨量資料分析的未來展望

第6章 全球供應鏈、巨量資料分析市場:各地區

  • 簡介
  • 北美
    • 概要
    • 主要國家市場
  • 歐洲
    • 概要
    • 主要國家市場
  • 亞太地區
    • 概要
    • 主要國家市場
  • 其他的國家 (RoW)

第7章 市場競爭

  • 概要
  • 主要企業的市場佔有率:各地區

第8章 企業簡介

第9章 競爭環境

  • 資本交易概要
    • 企業收購
    • 私人股權 (非上市股票交易)
    • 股票上市
    • 發行公司債券
    • 產業聯盟 (夥伴關係)
    • 資產交易
  • 近幾年趨勢
    • 新的技術開發
    • 新契約的獲得

第10章 附錄




The Global Supply Chain Big Data Analytics Market is valued at USD 3.9 billion in 2016 and is expected to reach a value of USD 20.32 billion by the end of 2022, growing at a projected CAGR of 24.6% during the forecast period of 2017 - 2022.

Big data basically means lots of data. It refers to the huge data sets that are produced which cannot be processed by one computer alone. Often the data sets runs into gigabytes or terabytes. When we apply logic, statistics and math to the data, we can come up with a conclusion from the data collected. The data being collected from various fields is being increasingly used by companies to improve various aspects of how their company functions. Supply chain of a company is one of the most important parts of a company. Generally, when a company gets accustomed to one type of supply chain which it has been using for some years, it is hard for it to change. This may have been the case in earlier times when big data was not being used by the other companies, but now every vendor must have a flexible supply chain which keeps changing according to the demands of the consumers and the suppliers. Many companies who have tried to remain rigid on their model of supply chain have earned heavy losses. These companies have either changed their model or closed down or acquired by another company. This huge market is growing because of the increased usage by lot of companies.

Companies which heavily depend on supply chain like Wal-Mart, Zara, Google, eBay etc. use big data to regularly improve their supply chain. E-commerce giants like Amazon stores customers' information and preferences which creates huge amount of data. This helps the site to be personalized according to the user, have the regular items user searches for or get related products when the user is looking at a product. It also helps them to improve their warehouse storage, inventory management and transportation of goods. The market for big data analytics in supply chains is increasing at a fast pace with more and more companies using this to improve their supply chain.

Companies like Google, IBM, HP, Adobe, Accenture, Cloudera, SAP, TCS, Cisco and Intel are the big players in this market.


Huge growth in big data analytics market and the increasing number of companies making software for big data analytics are the possible drivers for the supply chain big data analytics market.


There are few technical challenges associated with this market and also, highly skilled analysts are required to operate on the same, so the demand for this market might be unsteady.


Global Supply Chain Big Data Analytics Market Overview with information on drivers and restraints

Supply Chain Big Data Analytics Market Analysis and its applications in the industry

Identification of factors responsible for changing the market scenarios, rising prospective opportunities and identification of key companies which can influence the market on global and regional scale

Extensively researched competitive landscape with profiles of major companies along with their market shares

A comprehensive list of key market players along with the analysis of their current strategic interests and key financial information

Related Reports:

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Global Retail Analytics Market - By Deployment Model, Vendors and Geography - Forecasts and Trends (2015- 2020)

Global Speech Analytics Market By Application Type, Solutions, End User Industry, Geography and Vendor Analysis- Forecasts, Trends and Shares (2015- 2020)

Global Location Analytics Market By Type of Deployment, End User Industry, Geography and Vendor Analysis - Forecasts, Trends and Shares (2015 - 2020)

Table of Contents

1. Introduction

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Research Methodology
  • 1.4 Key Findings in the Study
  • 1.5 Market Definition

2. Executive Summary

3. Market Dynamics

  • 3.1 Market Overview
  • 3.2 Market Drivers
  • 3.3 Restraints in the Market
  • 3.4 Opportunities
  • 3.5 Industry Value Chain Analysis
  • 3.6 Industry Attractiveness - Porter's Five Force Analysis
    • 3.6.1 Bargaining Power of Suppliers
    • 3.6.2 Bargaining Power of Consumers
    • 3.6.3 Threat from New Entrants
    • 3.6.4 Threat from Substitute Technology
    • 3.6.5 Competitive Rivalry within in the Industry
  • 3.7 Industry Policies

4. Technology Snapshot

5. Global Supply Chain Big Data Analytics Market Segmentation and Forecast

  • 5.1 By Solution
    • 5.1.1 Supply Chain Planning and Procurement
    • 5.1.2 Sales and Operations Planning
    • 5.1.3 Sales and Operations Panning
    • 5.1.4 Manufacturing Analysis
    • 5.1.5 Transportation and Logistics Analytics
    • 5.1.6 Visualization and Reporting Tools
  • 5.2 By Deployment Model
    • 5.2.1 On-Premise
    • 5.2.2 On-Cloud
  • 5.3 By Service
    • 5.3.1 Professional Services
    • 5.3.2 Support and Maintenance Services
  • 5.4 By Industry Vertical
    • 5.4.1 Retail
    • 5.4.2 Healthcare
    • 5.4.3 Electronics
    • 5.4.4 Automotive
    • 5.4.5 Aerospace and Defense
    • 5.4.6 Manufacturing
    • 5.4.7 Others
  • 5.5 By Region
    • 5.5.1 North America
    • 5.5.2 Europe
    • 5.5.3 Asia Pacific
    • 5.5.4 Latin America
    • 5.5.5 the Middle East and Africa

6. Competitive Intelligence - Company Profiles (List Populated Globally)

  • 6.1 IBM Corporation
  • 6.2 Microstrategy
  • 6.3 Oracle Corporation
  • 6.4 SAP SE
  • 6.5 SAS Institute, Inc.
  • 6.6 Capgemini S.A.
  • 6.7 Genpact
  • 6.8 Kinaxis Inc.
  • 6.9 Tableau
  • 6.10 Birst, Inc.

8. Investment Analysis

  • 8.1 Recent Mergers and Acquisitions
  • 8.2 Investment Scenario and Opportunities
  • 8.3 Role of Business Accelerators

9. Future of Global Supply Chain Big Data Analytics Technology Market

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