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“The Global Supply Chain Analytics Market to Grow USD 8,787.53 Million by 2025, at a CAGR of 15.13%”
FEATURED COMPANIES
- Cloudera, Inc.
- Infor
- Qlik
- SAP SE
- Savi Technology
- Tableau Software
- MORE
The Global Supply Chain Analytics Market is expected to grow from USD 3,772.63 Million in 2019 to USD 8,787.53 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 15.13%.
Market Segmentation & Coverage:
This research report categorizes the Supply Chain Analytics to forecast the revenues and analyze the trends in each of the following sub-markets:
On the basis of Software, the Supply Chain Analytics Market is examined across Demand Analysis and Forecasting, Inventory Analytics, Spend and Procurement Analytics, Supplier Performance Analytics, and Transportation and Logistics Analytics.
On the basis of Services, the Supply Chain Analytics Market is examined across Deployment and Integration Services, Managed Services, Professional Services, and Support and Maintenance Services.
On the basis of Deployment, the Supply Chain Analytics Market is examined across Cloud and On-Premises.
On the basis of Industry, the Supply Chain Analytics Market is examined across Automotive, Energy and Utilities, F&B Manufacturing, Government, Machinery & Industrial Equipment Manufacturing, Pharmaceuticals, and Retail and Consumer Goods.
On the basis of Geography, the Supply Chain Analytics Market is examined across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is examined across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is examined across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is examined across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Company Usability Profiles:
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Supply Chain Analytics Market including BRIDGEi2i Analytics Solutions Pvt. Ltd., Cloudera, Inc., Domo, Inc., Infor, International Business Machines Corporation, MicroStrategy Incorporated, Oracle Corporation, Qlik, Rosslyn Data Technologies, SAP SE, SAS Institute, Savi Technology, Software AG, Tableau Software, and Voxware, Inc..
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Supply Chain Analytics Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Supply Chain Analytics Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Supply Chain Analytics Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Supply Chain Analytics Market?
4. What is the competitive strategic window for opportunities in the Global Supply Chain Analytics Market?
5. What are the technology trends and regulatory frameworks in the Global Supply Chain Analytics Market?
6. What are the modes and strategic moves considered suitable for entering the Global Supply Chain Analytics Market?
Market Segmentation & Coverage:
This research report categorizes the Supply Chain Analytics to forecast the revenues and analyze the trends in each of the following sub-markets:
On the basis of Software, the Supply Chain Analytics Market is examined across Demand Analysis and Forecasting, Inventory Analytics, Spend and Procurement Analytics, Supplier Performance Analytics, and Transportation and Logistics Analytics.
On the basis of Services, the Supply Chain Analytics Market is examined across Deployment and Integration Services, Managed Services, Professional Services, and Support and Maintenance Services.
On the basis of Deployment, the Supply Chain Analytics Market is examined across Cloud and On-Premises.
On the basis of Industry, the Supply Chain Analytics Market is examined across Automotive, Energy and Utilities, F&B Manufacturing, Government, Machinery & Industrial Equipment Manufacturing, Pharmaceuticals, and Retail and Consumer Goods.
On the basis of Geography, the Supply Chain Analytics Market is examined across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is examined across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is examined across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is examined across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.
Company Usability Profiles:
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Supply Chain Analytics Market including BRIDGEi2i Analytics Solutions Pvt. Ltd., Cloudera, Inc., Domo, Inc., Infor, International Business Machines Corporation, MicroStrategy Incorporated, Oracle Corporation, Qlik, Rosslyn Data Technologies, SAP SE, SAS Institute, Savi Technology, Software AG, Tableau Software, and Voxware, Inc..
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Supply Chain Analytics Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Supply Chain Analytics Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Supply Chain Analytics Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Supply Chain Analytics Market?
4. What is the competitive strategic window for opportunities in the Global Supply Chain Analytics Market?
5. What are the technology trends and regulatory frameworks in the Global Supply Chain Analytics Market?
6. What are the modes and strategic moves considered suitable for entering the Global Supply Chain Analytics Market?
Note: Product cover images may vary from those shown
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FEATURED COMPANIES
- Cloudera, Inc.
- Infor
- Qlik
- SAP SE
- Savi Technology
- Tableau Software
- MORE
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
2.3.1. Competitive Strategic Window
3. Executive Summary
3.1. Market Outlook
3.2. Software Outlook
3.3. Services Outlook
3.4. Deployment Outlook
3.5. Industry Outlook
3.6. Geography Outlook
3.7. Competitor Outlook
4. Market Overview
4.1. Introduction
4.2. Supply Chain Analytics Market, By Geography
5. Market Dynamics
5.1. Introduction
5.1.1. Drivers
5.1.1.1. Huge volume and velocity of data generated by the industries
5.1.1.2. Need to gain operational and supply chain efficiencies
5.1.1.3. Advantages associated with the AI and Machine Learning into supply chain management
5.1.2. Restraints
5.1.2.1. Concern associated with the data security
5.1.2.2. Inaccuracies associated with the data sets
5.1.3. Opportunities
5.1.3.1. Increasing awareness toward the adoption of supply chain solutions
5.1.3.2. Adoption of cloud-based supply chain analytics
5.1.4. Challenges
5.1.4.1. Limited availability of skilled personnel
5.1.4.2. Reluctance towards the adoption of advanced analytical technologies
6. Market Insights
6.1. Porters Five Forces Analysis
6.1.1. Threat of New Entrants
6.1.2. Threat of Substitutes
6.1.3. Bargaining Power of Customers
6.1.4. Bargaining Power of Suppliers
6.1.5. Industry Rivalry
6.2. Cumulative Impact of COVID-19
6.3. Client Customizations
6.3.1. Market Ecosystem
7. Global Supply Chain Analytics Market, By Software
7.1. Introduction
7.2. Demand Analysis and Forecasting
7.3. Inventory Analytics
7.4. Spend and Procurement Analytics
7.5. Supplier Performance Analytics
7.6. Transportation and Logistics Analytics
8. Global Supply Chain Analytics Market, By Services
8.1. Introduction
8.2. Deployment and Integration Services
8.3. Managed Services
8.4. Professional Services
8.5. Support and Maintenance Services
9. Global Supply Chain Analytics Market, By Deployment
9.1. Introduction
9.2. Cloud
9.3. On-Premises
10. Global Supply Chain Analytics Market, By Industry
10.1. Introduction
10.2. Automotive
10.3. Energy and Utilities
10.4. F&B Manufacturing
10.5. Government
10.6. Machinery & Industrial Equipment Manufacturing
10.7. Pharmaceuticals
10.8. Retail and Consumer Goods
11. Americas Supply Chain Analytics Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Supply Chain Analytics Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. South Korea
12.10. Thailand
13. Europe, Middle East & Africa Supply Chain Analytics Market
13.1. Introduction
13.2. France
13.3. Germany
13.4. Italy
13.5. Netherlands
13.6. Qatar
13.7. Russia
13.8. Saudi Arabia
13.9. South Africa
13.10. Spain
13.11. United Arab Emirates
13.12. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis
14.3. Market Share Analysis
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding
15. Company Usability Profiles
15.1. BRIDGEi2i Analytics Solutions Pvt. Ltd.
15.2. Cloudera, Inc.
15.3. Domo, Inc.
15.4. Infor
15.5. International Business Machines Corporation
15.6. MicroStrategy Incorporated
15.7. Oracle Corporation
15.8. Qlik
15.9. Rosslyn Data Technologies
15.10. SAP SE
15.11. SAS Institute
15.12. Savi Technology
15.13. Software AG
15.14. Tableau Software
15.15. Voxware, Inc.
16. Appendix
16.1. Discussion Guide
16.2. Edition Details
16.3. License Details
16.4. Pricing Details
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
2.3.1. Competitive Strategic Window
3. Executive Summary
3.1. Market Outlook
3.2. Software Outlook
3.3. Services Outlook
3.4. Deployment Outlook
3.5. Industry Outlook
3.6. Geography Outlook
3.7. Competitor Outlook
4. Market Overview
4.1. Introduction
4.2. Supply Chain Analytics Market, By Geography
5. Market Dynamics
5.1. Introduction
5.1.1. Drivers
5.1.1.1. Huge volume and velocity of data generated by the industries
5.1.1.2. Need to gain operational and supply chain efficiencies
5.1.1.3. Advantages associated with the AI and Machine Learning into supply chain management
5.1.2. Restraints
5.1.2.1. Concern associated with the data security
5.1.2.2. Inaccuracies associated with the data sets
5.1.3. Opportunities
5.1.3.1. Increasing awareness toward the adoption of supply chain solutions
5.1.3.2. Adoption of cloud-based supply chain analytics
5.1.4. Challenges
5.1.4.1. Limited availability of skilled personnel
5.1.4.2. Reluctance towards the adoption of advanced analytical technologies
6. Market Insights
6.1. Porters Five Forces Analysis
6.1.1. Threat of New Entrants
6.1.2. Threat of Substitutes
6.1.3. Bargaining Power of Customers
6.1.4. Bargaining Power of Suppliers
6.1.5. Industry Rivalry
6.2. Cumulative Impact of COVID-19
6.3. Client Customizations
6.3.1. Market Ecosystem
7. Global Supply Chain Analytics Market, By Software
7.1. Introduction
7.2. Demand Analysis and Forecasting
7.3. Inventory Analytics
7.4. Spend and Procurement Analytics
7.5. Supplier Performance Analytics
7.6. Transportation and Logistics Analytics
8. Global Supply Chain Analytics Market, By Services
8.1. Introduction
8.2. Deployment and Integration Services
8.3. Managed Services
8.4. Professional Services
8.5. Support and Maintenance Services
9. Global Supply Chain Analytics Market, By Deployment
9.1. Introduction
9.2. Cloud
9.3. On-Premises
10. Global Supply Chain Analytics Market, By Industry
10.1. Introduction
10.2. Automotive
10.3. Energy and Utilities
10.4. F&B Manufacturing
10.5. Government
10.6. Machinery & Industrial Equipment Manufacturing
10.7. Pharmaceuticals
10.8. Retail and Consumer Goods
11. Americas Supply Chain Analytics Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Supply Chain Analytics Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. South Korea
12.10. Thailand
13. Europe, Middle East & Africa Supply Chain Analytics Market
13.1. Introduction
13.2. France
13.3. Germany
13.4. Italy
13.5. Netherlands
13.6. Qatar
13.7. Russia
13.8. Saudi Arabia
13.9. South Africa
13.10. Spain
13.11. United Arab Emirates
13.12. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis
14.3. Market Share Analysis
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding
15. Company Usability Profiles
15.1. BRIDGEi2i Analytics Solutions Pvt. Ltd.
15.2. Cloudera, Inc.
15.3. Domo, Inc.
15.4. Infor
15.5. International Business Machines Corporation
15.6. MicroStrategy Incorporated
15.7. Oracle Corporation
15.8. Qlik
15.9. Rosslyn Data Technologies
15.10. SAP SE
15.11. SAS Institute
15.12. Savi Technology
15.13. Software AG
15.14. Tableau Software
15.15. Voxware, Inc.
16. Appendix
16.1. Discussion Guide
16.2. Edition Details
16.3. License Details
16.4. Pricing Details
Note: Product cover images may vary from those shown
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- BRIDGEi2i Analytics Solutions Pvt. Ltd.
- Cloudera, Inc.
- Domo, Inc.
- Infor
- International Business Machines Corporation
- MicroStrategy Incorporated
- Oracle Corporation
- Qlik
- Rosslyn Data Technologies
- SAP SE
- SAS Institute
- Savi Technology
- Software AG
- Tableau Software
- Voxware, Inc.
Note: Product cover images may vary from those shown
