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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
1.1. 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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