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Sep 14, 2020 4:48 AM ET

Supply Chain Analytics Market (COVID19- UPDATED) Tremendous Growth by 2027 | SAP SE, Oracle Corporation , IBM Corporation , SAS Institute , Software AG, MicroStrategy Incorporated


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The ‘ Supply Chain Analytics market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview; Supply Chain Analytics derived key statistics, based on the market status of the manufacturers and is a valuable source of guidance and direction for companies and individuals interested in Supply Chain Analytics market size forecast, Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart).

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A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021

covid-19 scenario Market Behavior/ Level of Risk and Opportunity End Industry Behavior/ Opportunity Assessment Expected Industry Recovery Timeline Business Impact Horizon
Opening of Economy by Q3 2020 xx xx xx xx
Recovery – Opening of Economy extended till Q4 2020 / Q1 2021 xx xx xx xx

Global Supply Chain Analytics Market is valued approximately USD 3.0 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 20.1 % over the forecast period 2020-2027.

Supply Chain Analytics aims to enhance operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational and tactical levels. The use of Supply Chain Analytics cuts the operational cost enabling sustainable business growth and increase customer satisfaction. Increasing volume and velocity of data along with need to enhance operation and supply chain efficiencies drives the market growth. For Instance: Verizon in 2017 signed an agreement with Corning to purchase 20 million kilometres of optical fibre each year from 2018 to 2020 with a commitment of USD 1.05 billion purchase per year. While Sprint announced multi yearmultiyear strategic agreements with US broadband infrastructure company like Altice USA in November 2017 and another agreement with Cox Communications in January 2018 to densify its network capabilities. These agreements illustratedemonstrate the growingmounting volume and velocity of data for which higheradvanced communication speed is required. Moreover, Factors such as increasingswelling adoption of cloud-based supply chain analytics and increasinggrowing awareness of supply chain analytics tools among organizations further fuel the market growth. However, dData sSecurity issues impedes the growth of the market over the forecast period of 2020-2027. Although, the advent of Artificial Intelligence (AI) and machine learning into supply chain management would provide lucrative growth opportunities for the market.

The regional analysis of global Supply Chain Analytics market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the growing cloud basedcloud-based adoption and well – established infrastructure in the region. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027. Factors such as rising disposable income and rising number of organizations would create lucrative growth prospects for the Supply Chain Analytics market across Asia-Pacific region.

Major market player included in this report are:

SAP SE

Oracle Corporation

IBM Corporation

SAS Institute

Software AG

MicroStrategy Incorporated

 Tableau Software

 Qlik

TIBCO Software Inc.

Cloudera Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Software:

Supplier Performance Analytics

Demand Analysis and Forecasting

Inventory Analytics

By Deployment Model:

On-premises

Cloud

By Organization Size:

Large Enterprises

SMEs

By Industry Vertical:

Automotive

Retail and consumer goods

F&B manufacturing

Machinery and industrial equipment manufacturing

Pharmaceuticals

Government

Energy and utilities

 

Target Audience of the Global Supply Chain Analytics Market in Market Study:

Key Consulting Companies & Advisors

Large, medium-sized, and small enterprises

Venture capitalists

Value-Added Resellers (VARs)

Third-party knowledge providers

Investment bankers

Investors

A systematic step framework for How to Tackle The Situation… “MITIGATE” | “SUSTAIN” | “GROW”: Business Strategy Recovery, Scenario and Planning

Key Segments Studied in the Global Supply Chain Analytics Market

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

In-Depth Qualitative Analyses Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis

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Key Points Covered in Supply Chain Analytics Market Report: COVID 19 Impact Analysis

Chapter 1.      Executive Summary

1.1.       Market Snapshot

1.2.      Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)

1.2.1.   Supply Chain Analytics Market, by Region, 2018-2027 (USD Billion)

1.2.2.   Supply Chain Analytics Market, by Software, 2018-2027 (USD Billion)

1.2.3.   Supply Chain Analytics Market, by Deployment Model, 2018-2027 (USD Billion)

1.2.4.   Supply Chain Analytics Market, by Organization Size, 2018-2027 (USD Billion)

1.2.5.   Supply Chain Analytics Market, by Industry Vertical, 2018-2027 (USD Billion)

1.3.      Key Trends

1.4.      Estimation Methodology

1.5.      Research Assumption

Chapter 2.      Global Supply Chain Analytics Market Definition and Scope

2.1.      Objective of the Study

2.2.      Market Definition & Scope

2.2.1.   Scope of the Study

2.2.2.  Industry Evolution

2.3.      Years Considered for the Study

2.4.      Currency Conversion Rates

Chapter 3.      Global Supply Chain Analytics Market Dynamics

3.1.      Supply Chain Analytics Market Impact Analysis (2018-2027)

3.1.1.   Market Drivers

3.1.2.   Market Challenges

3.1.3.   Market Opportunities

Chapter 4.      Global Supply Chain Analytics Market Industry Analysis

4.1.      Porter’s 5 Force Model

4.1.1.   Bargaining Power of Suppliers

4.1.2.   Bargaining Power of Buyers

4.1.3.   Threat of New Entrants

4.1.4.   Threat of Substitutes

4.1.5.   Competitive Rivalry

4.1.6.   Futuristic Approach to Porter’s 5 Force Model (2017-2027)

4.2.      PEST Analysis

4.2.1.   Political

4.2.2.  Economical

4.2.3.  Social

4.2.4.  Technological

4.3.      Investment Adoption Model

4.4.      Analyst Recommendation & Conclusion

Chapter 5.      Global Supply Chain Analytics Market, by Software

5.1.      Market Snapshot

5.2.      Global Supply Chain Analytics Market by Software, Performance – Potential Analysis

5.3.      Global Supply Chain Analytics Market Estimates & Forecasts by Software 2017-2027 (USD Billion)

5.4.      Supply Chain Analytics Market, Sub Segment Analysis

5.4.1.   Supplier Performance Analytics

5.4.2.   Demand Analysis and Forecasting

5.4.3.   Inventory Analytics

5.4.4.   Others

Chapter 6.      Global Supply Chain Analytics Market, by Deployment Model

6.1.      Market Snapshot

6.2.      Global Supply Chain Analytics Market by Deployment Model, Performance – Potential Analysis

6.3.      Global Supply Chain Analytics Market Estimates & Forecasts by Deployment Model 2017-2027 (USD Billion)

6.4.      Supply Chain Analytics Market, Sub Segment Analysis

6.4.1.   On-premises

6.4.2.  Cloud

Chapter 7.      Global Supply Chain Analytics Market, by Organization Size

7.1.      Market Snapshot

7.2.      Global Supply Chain Analytics Market by Organization Size, Performance – Potential Analysis

7.3.      Global Supply Chain Analytics Market Estimates & Forecasts by Organization Size 2017-2027 (USD Billion)

7.4.      Supply Chain Analytics Market, Sub Segment Analysis

7.4.1.   Large Enterprises

7.4.2.   SMEs

Chapter 8.     Global Supply Chain Analytics Market, by Industry Vertical

8.1.      Market Snapshot

8.2.     Global Supply Chain Analytics Market by Industry Vertical, Performance – Potential Analysis

8.3.     Global Supply Chain Analytics Market Estimates & Forecasts by Industry Vertical 2017-2027 (USD Billion)

8.4.     Supply Chain Analytics Market, Sub Segment Analysis

8.4.1.   Automotive

8.4.2.  Retail and consumer goods

8.4.3.  F&B manufacturing

8.4.4.  Machinery and industrial equipment manufacturing

8.4.5.  Pharmaceuticals

8.4.6.  Government

8.4.7.  Energy and utilities

Chapter 9.      Global Supply Chain Analytics Market, Regional Analysis

9.1.      Supply Chain Analytics Market, Regional Market Snapshot

9.2.      North America Supply Chain Analytics Market

9.2.1.   U.S. Supply Chain Analytics Market

9.2.1.1.            Software breakdown estimates & forecasts, 2017-2027

9.2.1.2.            Deployment Model breakdown estimates & forecasts, 2017-2027

9.2.1.3.            Organization Size breakdown estimates & forecasts, 2017-2027

9.2.1.4.            Industry Vertical breakdown estimates & forecasts, 2017-2027

9.2.2.  Canada Supply Chain Analytics Market

9.3.      Europe Supply Chain Analytics Market Snapshot

9.3.1.   U.K. Supply Chain Analytics Market

9.3.2.  Germany Supply Chain Analytics Market

9.3.3.  France Supply Chain Analytics Market

9.3.4.  Spain Supply Chain Analytics Market

9.3.5.   Italy Supply Chain Analytics Market

9.3.6.  Rest of Europe Supply Chain Analytics Market

9.4.      Asia-Pacific Supply Chain Analytics Market Snapshot

9.4.1.   China Supply Chain Analytics Market

9.4.2.  India Supply Chain Analytics Market

9.4.3.  Japan Supply Chain Analytics Market

9.4.4.  Australia Supply Chain Analytics Market

9.4.5.   South Korea Supply Chain Analytics Market

9.4.6.  Rest of Asia Pacific Supply Chain Analytics Market

9.5.      Latin America Supply Chain Analytics Market Snapshot

9.5.1.   Brazil Supply Chain Analytics Market

9.5.2.   Mexico Supply Chain Analytics Market

9.6.      Rest of The World Supply Chain Analytics Market

Chapter 10.    Competitive Intelligence

10.1.    Top Market Strategies

10.2.    Company Profiles

10.2.1. SAP SE

10.2.1.1.          Key Information

10.2.1.2.          Overview

10.2.1.3.          Financial (Subject to Data Availability)

10.2.1.4.          Product Summary

10.2.1.5.          Recent Developments

10.2.2.            Oracle Corporation

10.2.3.            IBM Corporation

10.2.4.            SAS Institute

10.2.5. Software AG

10.2.6.            MicroStrategy Incorporated

10.2.7. Tableau Software

10.2.8.            Qlik

10.2.9.            TIBCO Software Inc.

10.2.10.          Cloudera Inc.

Chapter 11.    Research Process

11.1.     Research Process

11.1.1.  Data Mining

11.1.2.  Analysis

11.1.3.  Market Estimation

11.1.4.  Validation

11.1.5.  Publishing

11.2.    Research Attributes

11.3.    Research Assumption

Continued….

……..and view more in complete table of Contents

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