Latest released the research study on Global Supply Chain Analytics Software Market, offers a detailed overview of the factors influencing the global business scope. Supply Chain Analytics Software Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the Supply Chain Analytics Software Market. The study covers emerging player’s data, including: competitive landscape, sales, revenue and global market share of top manufacturers.
Top players in Global Supply Chain Analytics Software Market are:
SAP, Oracle, Blue Yonder Group, Inc, Manhattan, Ariba, SAS, IBM Cognos, Tableau, TARGIT, Kinaxis
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Brief Overview on Supply Chain Analytics Software
Supply chain analytics software can help enterprises achieve growth, enhance profitability, and increase market shares by utilizing the derived insights for making strategic decisions. These solutions can also offer a holistic view of the supply chain and help in enhancing sustainability, reducing inventory cost, and accelerating the time-to-market for products in the long run. Supply chain optimization remains a top priority for organizations trying to cut operational cost, sustain business growth and increase customer satisfaction.
Global Supply Chain Analytics Software Market Scope & Segmentation:
Study by Deployment Mode (On-premises, Cloud), Organization Size (Large enterprises, Small and Medium-sized Enterprises (SMEs)), Industry Vertical (Automotive, Retail and consumer goods, F&B manufacturing, Machinery and industrial equipment manufacturing, Pharmaceuticals, Government, Energy and utilities), Features (Demand analysis and forecasting, Supplier performance analytics, Spend and procurement analytics, Inventory analytics, Transportation and logistics analytics)
Recent Development in Global Supply Chain Analytics Software Market:
On 16th March 2020, SAP Digital Supply Chain and ERP Solutions. SAP offers integrated supply chain planning software that allows its customers to respond quickly and cost-effectively to changes in supply-demand and market conditions.
Market Drivers
The growing adoption of mobile-based solutions
Rising demand due to inefficient supplier networks, elevated warehousing costs, and incorrect forecasts
Market Trend
The increasing amount of business data and the need for effective database management tools for converting the same into a valuable asset by varied end-user verticals
Market Challenges
The Increasing Issues related to cyber threats are Man-in-the-Middle (MITM) attacks and unethical hacking activities.
Market Restraints:
The growing concerns over data security
Market Opportunities:
Rising awareness regarding potential benefits of supply chain analytics such as high statistical forecasting accuracy, and real-time updates across developed regions
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Extract from Table of Content:
Chapter 01 – Executive Summary
1.1 Snapshot of the key findings and key statistics.
1.2 Market value (US$ million).
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
3.1 Strategies adopted by key market participants and factors that have turned into success.
3.2 Additional viewpoint on global average pricing analysis benchmark, and consumer’s sentiments’ analysis.
Chapter 04 – Covid-19 Crisis Analysis on Global Supply Chain Analytics Software Market
Chapter 05 – Global Supply Chain Analytics Software Market – Pricing Analysis
Chapter 06 – Global Supply Chain Analytics Software Market Background
6.1 Macroeconomic factors affecting the Global Supply Chain Analytics Software market
6.2 Explore supply chain and value chain analysis.
6.3 In-depth information about the market dynamics and their consequences.
Chapter 07 — Global Supply Chain Analytics Software Market Segmentation
Chapter 08 – Key and Emerging Countries Analysis in Global Supply Chain Analytics Software Market
Chapter 09 – Global Supply Chain Analytics Software Market Structure Analysis
Chapter 10 – Global Supply Chain Analytics Software Market Competitive Analysis
10.1 Market Concentration Rate
10.2 Competition Scenario: BCG Matrix [Relative Market Share v/s Revenue Growth Rate]
10.3 Heat Map Analysis
10.4 Comparative Market Share Analysis by Players (2018-2019) Rank, [% Market Share, Market Revenue]
Chapter 11 – Assumptions and Acronyms
Chapter 12 – Research Methodology
Data Sources & Methodology
The primary sources involve the industry experts from the Global Supply Chain Analytics Software Market including the management organizations, processing organizations, analytics service providers of the industry’s value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company’s Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weightage.
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