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ICT & Media

Global Big Data Supply Chain Analytics Market

  • MAR2978580
  • 200 Pages
  • June 2018
  • ICT & Media
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Supply Chain is one of the key aspects of a business. Though the product quality and development time are well managed, a supply chain is the one that delivers it to the end user. A lot of aspects affect the efficiency of the supply chain. Taking into consideration each and every factor and analyzing them to ensure effective supply chain management is a challenging task. Big Data is the key to bring various views on factors that retard effective supply chain system.

Big Data Analytics firms help the companies to reduce the logistics cost and time in order to attract customers and win the competition.

Market Dynamics

Big Data Analytics is the tool to understand the customer need, feedback and market dynamics without actually reaching out to them. It involves two aspects, Big Data and Business Analytics. Supply Chain Big Data Analytics is an ever growing field and has a lot of potential to grow in the coming years. As the number of startups is increasing year on year the analysis of data is a necessity today. The Big Data Analytics Company need to harness this market as the startups grow exponentially due to technological innovations and new ideas.

Market Segmentation

The market segmentation is based on the applications as explained below:

--> Procurement - Data need to be analyzed about the current demand regularly. This helps in maintaining optimum flow of raw materials from the suppliers thus helping in the prevention of inventory heap

--> Storage - Data from web cameras, condition of storage places, expiry dates are needed to be stored and analyzed often for an effective storage function

--> Supply - Big Data Analytics plays a major role in supply network. This ensures that the developed products or services reach the right customer at the right time

--> Customer Feedback - Customer ratings and feedback analysis help in understanding the company's operations from a customer's perspective. Thus providing a space for improvement

--> Improvements & Up gradation - With the data from all the above applications, the overall business model can be altered or aligned to current need

Geographic Analysis

The supply chain effectiveness is highly based on logistics. In India, the working conditions of truck drivers are very poor. There is a requirement of data analytics to improve their standard and help in an effective supply chain. It has to be taken care as the supply chain is highly by roadways in India. The conditions of logistics in USA and India are discussed here

USA - Data collection is easier as the logistics are the more organized sector. There are more reliable logistics providers and are leaders in the field . Many new technologies are implemented. Further development is needed as basic framework is in place

INDIA - On the other hand, India has a great potential for improvement in Supply Chain. Data Analytics in the supply chain is a booming industry and has a lot of scopes. With the enormous amount of data due to rapid growth in all the sectors and effective government policies, there is a huge scope for Data Analytics. Increasing competition in the fields due to high potential paves way for innovation and ideas which makes Supply Chain Data Analytics market a growing industry.

Key Players

1. Accenture

2. IBM

3. Google Inc

4. Hewlett-Packard Company

5. SAP SE

6. Intel Corp

7. Tata Consultancy Services

Report Contents:

> Global Market segments

> Global Market Drivers, Restraints and Opportunities

> Global Market Size & Forecast 2016 to 2022

> Supply & Demand Value Chain

> Global Market - Current Trends

> Competition & Major Companies

> Technology and R&D Status

> Porters Five Force Analysis

> Strategic and Critical Success Factor Analysis of Key Players

Regional Analysis:

> North America

>> US and Canada

> Latin America

>> Mexico, Brazil, Argentina and Rest of Latin America

> Western Europe

>> EU5 (Germany, France, Italy, Spain, U.K.)

>> Nordic Countries (Denmark, Finland, Norway, and Sweden)

>> Benelux (Belgium, The Netherlands, and Luxembourg)

>> Rest of Western Europe

> Eastern Europe

>> Russia

>> Poland

>> Rest of Eastern Europe

> Asia Pacific

>> China

>> India

>> Japan

>> Australia and New Zealand

>> Rest of Asia Pacific

> Middle East and Africa

>> GCC countries (Saudi Arabia, Oman, Qatar, Bahrain, UAE and Kuwait)

>> South Africa

>> North Africa

>> Rest of Middle East and Africa

This report is an elaborate aggregation of primary inputs from industry experts and participants across the supply chain. It provides details on market segmentation which is derived from several product mapping exercises, macroeconomic parameters and other qualitative and quantitative insights. The impact of all such factors is delivered across multiple market segments and geographies.

Report Highlights:

> Detailed Historical Overview (Market Origins, Product Launch Timeline, etc.)

> Consumer and Pricing Analysis

> Market dynamics of the industry

> Market Segmentation

> Estimated Market Sizing in terms of volume and value

> Recent trends in market and impact

> Research Status and Technology Overview

> Extensive Industry Structure Coverage

1. Market Introduction

1.1. Market Definition

1.2. Market Taxonomy

2. Research Methodology

3. Assumptions and Acronyms

4. Executive Summary

5. Consumer Analysis

5.1. Consumer Profile (Demographic, Geographic, etc.)

5.2. Consumer Motivation

5.3. Procurement Process

5.4. Frequency of Buying

6. Historical Overview (Market Origins, Product Launch Timeline, etc.)

7. Pricing Analysis

8. Market Dynamics

8.1. Macroeconomic Factors

8.2. Drivers

8.2.1. Supply Side

8.2.2. Demand Side

8.3. Restraints

8.4. Opportunities

9. R&D Status and Technology Overview

10. Key Impact Factors

10.1. Reduction in Logistics Cost & Time

10.2. Expansion of Data Beyond ERP(Enterprise Resource Planning) & SCM(Supply Chain Management) Systems

10.3. Front-line Operations Improvement

10.4. Optimization of Right Supply Chain Operating Models

10.5. Others

11. Global Big Data Supply Chain Analytics Market Analysis, By Application

11.1. Introduction

11.2. Prominent Trends

11.3. Regulatory Guidelines

11.4. Market Size and Analysis, By Application

11.4.1. Inventory & Warehousing

11.4.2. Sales & Operations Planning

11.4.3. Sourcing

11.4.4. Production Planning

11.4.5. Transportation

11.4.6. Consumer (Point of Sale, Recommendations, etc.)

11.4.7. Combination

11.5. Market Share Analysis and YoY Growth Rates, By Application

12. Global Big Data Supply Chain Analytics Market Analysis, By Solutions

12.1. Introduction

12.2. Prominent Trends

12.3. Regulatory Guidelines

12.4. Market Size and Analysis, By Solutions

12.4.1. Data Management

12.4.2. Business Intelligence

12.4.3. Data Visualization

12.4.4. Integrated Tools (Full Length Solutions)

12.5. Market Share Analysis and YoY Growth Rates, By Solutions

13. Global Big Data Supply Chain Analytics Market Analysis, By Deployment

13.1. Introduction

13.2. Prominent Trends

13.3. Regulatory Guidelines

13.4. Market Size and Analysis, By Deployment

13.4.1. On-Premises

13.4.2. Cloud Based Systems

13.5. Market Share Analysis and YoY Growth Rates, By Deployment

14. Global Big Data Supply Chain Analytics Market Analysis, By Industry

14.1. Introduction

14.2. Prominent Trends

14.3. Regulatory Guidelines

14.4. Market Size and Analysis, By Industry

14.4.1. Retail & E-Commerce

14.4.2. Logistics

14.4.3. Courier Services

14.4.4. Manufacturing

14.4.4.1. Automotive

14.4.4.2. Food & Beverages

14.4.4.3. Healthcare & Pharma

14.4.4.4. Hardware & Building Supplies

14.4.4.5. Others

14.4.5. Others

14.5. Market Share Analysis and YoY Growth Rates, By Industry

15. Global Big Data Supply Chain Analytics Market Analysis, By Region

15.1. Introduction

15.2. Prominent Trends

15.3. Regulatory Guidelines

15.4. Market Size and Analysis, By Region

15.4.1. North America

15.4.2. Latin America

15.4.3. Europe

15.4.4. Asia Pacific

15.4.5. Middle East & Africa (MEA)

15.5. Market Share Analysis and YoY Growth Rates, By Region

16. North America Big Data Supply Chain Analytics Market Analysis

16.1. Introduction

16.2. Prominent Trends

16.3. North America Big Data Supply Chain Analytics Market Analysis, by Country

16.3.1. U.S.

16.3.2. Canada

16.4. North America Big Data Supply Chain Analytics Market Size and Analysis, By Application

16.4.1. Inventory & Warehousing

16.4.2. Sales & Operations Planning

16.4.3. Sourcing

16.4.4. Production Planning

16.4.5. Transportation

16.4.6. Consumer (Point of Sale, Recommendations, etc.)

16.4.7. Combination

16.5. North America Big Data Supply Chain Analytics Market Size and Analysis, By Solutions

16.5.1. Data Management

16.5.2. Business Intelligence

16.5.3. Data Visualization

16.5.4. Integrated Tools (Full Length Solutions)

16.6. North America Big Data Supply Chain Analytics Market Size and Analysis, By Deployment

16.6.1. On-Premises

16.6.2. Cloud Based Systems

16.7. North America Big Data Supply Chain Analytics Market Size and Analysis, By Industry

16.7.1. Retail & E-Commerce

16.7.2. Logistics

16.7.3. Courier Services

16.7.4. Manufacturing

16.7.4.1. Automotive

16.7.4.2. Food & Beverages

16.7.4.3. Healthcare & Pharma

16.7.4.4. Hardware & Building Supplies

16.7.4.5. Others

16.7.5. Others

16.8. North America Big Data Supply Chain Analytics Market Share Analysis and YoY Growth Rates

16.8.1. By Country

16.8.2. By Application

16.8.3. By Solutions

16.8.4. By Deployment

16.8.5. By Industry

16.8.6. By Packaging Type

16.8.7. By Sales Channel

17. Latin America Big Data Supply Chain Analytics Market Analysis

17.1. Introduction

17.2. Prominent Trends

17.3. Latin America Big Data Supply Chain Analytics Market Analysis, by Country

17.3.1. Mexico

17.3.2. Brazil

17.3.3. Others

17.4. Latin America Big Data Supply Chain Analytics Market Size and Analysis, By Application

17.4.1. Inventory & Warehousing

17.4.2. Sales & Operations Planning

17.4.3. Sourcing

17.4.4. Production Planning

17.4.5. Transportation

17.4.6. Consumer (Point of Sale, Recommendations, etc.)

17.4.7. Combination

17.5. Latin America Big Data Supply Chain Analytics Market Size and Analysis, By Solutions

17.5.1. Data Management

17.5.2. Business Intelligence

17.5.3. Data Visualization

17.5.4. Integrated Tools (Full Length Solutions)

17.6. Latin America Big Data Supply Chain Analytics Market Size and Analysis, By Deployment

17.6.1. On-Premises

17.6.2. Cloud Based Systems

17.7. Latin America Big Data Supply Chain Analytics Market Size and Analysis, By Industry

17.7.1. Retail & E-Commerce

17.7.2. Logistics

17.7.3. Courier Services

17.7.4. Manufacturing

17.7.4.1. Automotive

17.7.4.2. Food & Beverages

17.7.4.3. Healthcare & Pharma

17.7.4.4. Hardware & Building Supplies

17.7.4.5. Others

17.7.5. Others

17.8. Latin America Big Data Supply Chain Analytics Market Share Analysis and YoY Growth Rates

17.8.1. By Country

17.8.2. By Application

17.8.3. By Solutions

17.8.4. By Deployment

17.8.5. By Industry

17.8.6. By Packaging Type

17.8.7. By Sales Channel

18. Europe Big Data Supply Chain Analytics Market Analysis

18.1. Introduction

18.2. Prominent Trends

18.3. Europe Big Data Supply Chain Analytics Market Analysis, by Country

18.3.1. Germany

18.3.2. U.K.

18.3.3. Spain

18.3.4. France

18.3.5. Italy

18.3.6. Russia

18.3.7. Others

18.4. Europe Big Data Supply Chain Analytics Market Size and Analysis, By Application

18.4.1. Inventory & Warehousing

18.4.2. Sales & Operations Planning

18.4.3. Sourcing

18.4.4. Production Planning

18.4.5. Transportation

18.4.6. Consumer (Point of Sale, Recommendations, etc.)

18.4.7. Combination

18.5. Europe Big Data Supply Chain Analytics Market Size and Analysis, By Solutions

18.5.1. Data Management

18.5.2. Business Intelligence

18.5.3. Data Visualization

18.5.4. Integrated Tools (Full Length Solutions)

18.6. Europe Big Data Supply Chain Analytics Market Size and Analysis, By Deployment

18.6.1. On-Premises

18.6.2. Cloud Based Systems

18.7. Europe Big Data Supply Chain Analytics Market Size and Analysis, By Industry

18.7.1. Retail & E-Commerce

18.7.2. Logistics

18.7.3. Courier Services

18.7.4. Manufacturing

18.7.4.1. Automotive

18.7.4.2. Food & Beverages

18.7.4.3. Healthcare & Pharma

18.7.4.4. Hardware & Building Supplies

18.7.4.5. Others

18.7.5. Others

18.8. Europe Big Data Supply Chain Analytics Market Share Analysis and YoY Growth Rates

18.8.1. By Country

18.8.2. By Application

18.8.3. By Solutions

18.8.4. By Deployment

18.8.5. By Industry

18.8.6. By Packaging Type

18.8.7. By Sales Channel

19. Asia Pacific Big Data Supply Chain Analytics Market Analysis

19.1. Introduction

19.2. Prominent Trends

19.3. Asia Pacific Big Data Supply Chain Analytics Market Analysis, by Country

19.3.1. India

19.3.2. China

19.3.3. Australia & New Zealand

19.3.4. Japan

19.3.5. Others

19.4. Asia Pacific Big Data Supply Chain Analytics Market Size and Analysis, By Application

19.4.1. Inventory & Warehousing

19.4.2. Sales & Operations Planning

19.4.3. Sourcing

19.4.4. Production Planning

19.4.5. Transportation

19.4.6. Consumer (Point of Sale, Recommendations, etc.)

19.4.7. Combination

19.5. Asia Pacific Big Data Supply Chain Analytics Market Size and Analysis, By Solutions

19.5.1. Data Management

19.5.2. Business Intelligence

19.5.3. Data Visualization

19.5.4. Integrated Tools (Full Length Solutions)

19.6. Asia Pacific Big Data Supply Chain Analytics Market Size and Analysis, By Deployment

19.6.1. On-Premises

19.6.2. Cloud Based Systems

19.7. Asia Pacific Big Data Supply Chain Analytics Market Size and Analysis, By Industry

19.7.1. Retail & E-Commerce

19.7.2. Logistics

19.7.3. Courier Services

19.7.4. Manufacturing

19.7.4.1. Automotive

19.7.4.2. Food & Beverages

19.7.4.3. Healthcare & Pharma

19.7.4.4. Hardware & Building Supplies

19.7.4.5. Others

19.7.5. Others

19.8. Asia Pacific Big Data Supply Chain Analytics Market Share Analysis and YoY Growth Rates

19.8.1. By Country

19.8.2. By Application

19.8.3. By Solutions

19.8.4. By Deployment

19.8.5. By Industry

19.8.6. By Packaging Type

19.8.7. By Sales Channel

20. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Analysis

20.1. Introduction

20.2. Prominent Trends

20.3. Middle East and Africa Big Data Supply Chain Analytics Market Analysis, by Country

20.3.1. GCC countries

20.3.2. South Africa

20.3.3. North Africa

20.3.4. Rest of Middle East and Africa

20.4. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Size and Analysis, By Application

20.4.1. Inventory & Warehousing

20.4.2. Sales & Operations Planning

20.4.3. Sourcing

20.4.4. Production Planning

20.4.5. Transportation

20.4.6. Consumer (Point of Sale, Recommendations, etc.)

20.4.7. Combination

20.5. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Size and Analysis, By Solutions

20.5.1. Data Management

20.5.2. Business Intelligence

20.5.3. Data Visualization

20.5.4. Integrated Tools (Full Length Solutions)

20.6. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Size and Analysis, By Deployment

20.6.1. On-Premises

20.6.2. Cloud Based Systems

20.7. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Size and Analysis, By Industry

20.7.1. Retail & E-Commerce

20.7.2. Logistics

20.7.3. Courier Services

20.7.4. Manufacturing

20.7.4.1. Automotive

20.7.4.2. Food & Beverages

20.7.4.3. Healthcare & Pharma

20.7.4.4. Hardware & Building Supplies

20.7.4.5. Others

20.7.5. Others

20.8. Middle East and Africa (MEA) Big Data Supply Chain Analytics Market Share Analysis and YoY Growth Rates

20.8.1. By Country

20.8.2. By Application

20.8.3. By Solutions

20.8.4. By Deployment

20.8.5. By Industry

20.8.6. By Packaging Type

20.8.7. By Sales Channel

21. Industry Structure

21.1. Porters Five Forces Analysis

21.1.1. Bargaining Power of Suppliers

21.1.2. Bargaining Power of Buyers

21.1.3. Threat of New Entrants

21.1.4. Threat of Substitute Products and Services

21.1.5. Internal Rivalry

21.2. Supply Chain Analysis and Profitability Margins

21.3. Market Share Analysis

21.4. Strategic Analysis

21.4.1. Competitive Strategies

21.4.2. Mergers & Acquisitions Activity

21.4.3. Co-operative Agreements

21.5. Critical Success Factor (CSF) Analysis (Technology & Manufacturing, Design & Features, Brand Reputation, Distribution Network, Marketing)

21.6. Company Profiles (Overview, Product/Service Details, Geographic Scope, Financials, Strategic Intent & Approach, Core Competencies & Competitive Advantage and Key developments)

21.6.1. IBM

21.6.2. LLamasoft, Inc

21.6.3. Voxware

21.6.4. KPMG Spectrum

21.6.5. Oracle (PeopleSoft)

21.6.6. Birst

21.6.7. JDA Software

21.6.8. SAP

21.6.9. Manhattan Associates

21.6.10. Blue Yonder

21.6.11. Logivations

21.6.12. SAS

21.6.13. TARGIT

21.6.14. Logility

21.6.15. Demand Solutions

21.6.16. Select Hub

22. Prognosis for the Future

 
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