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
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
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
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
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027
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
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
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
