Increasing the speed and speed of data, the need to improve supply and supply efficiency, and the advent of Artery Intelligence (AI) and machine learning for supply chain management will drive market growth. However, issues of data security and inconsistencies in the data are expected to prevent market growth. Activities such as increasing cloud computing analytics and increasing the availability of supply chain testing tools across organizations will create opportunities.
Distribution of software as a larger market size during the forecast period
The premium chain booking market offers software and services. The software division specializes in server services and will see future stability due to the higher adoption of software. Software applications, such as speculation analysis, demand analysis, and supplier forecasts, will drive market growth.
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Key Market Segments:
Key Market Players:
SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Software AG (Germany), MicroStrategy (US), Tableau (US), Qlik (US), TIBCO (US), Cloudera (US), Logility (US), Savi Technology (US),Infor (US), RELEX Solutions (Finland), TARGIT(Denmark), Voxware (US), The Any Logic Company(US), Antuit(US), Axway (US), AIMMS (Netherlands), BRIDGEi2i(India), Domo (US), Datameer (US), 1010data(US), Rosslyn Analytics(UK).
- Demand analysis and forecasting
- Supplier performance analytics
- Spend and procurement analytics
- Inventory analytics
- Transportation and logistics analytics
- Managed services
- Professional services
- Consulting services
- Support and maintenance services
- Deployment and integration services
By Deployment Models
- Large enterprises
- Small and Medium-sized Enterprises (SMEs)
By Industry verticals
- Retail and consumer goods
- F&B manufacturing
- Machinery and industrial equipment manufacturing
- Energy and utilities
- North America
- Rest of Europe
- Rest of APAC
- Latin America
- Rest of Latin America
- Middle East
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Demand and demand forecasts grow at the highest CAGR over the period
Analyzing and confirming demand is one of the biggest applications in the fake supply chain marketplace that helps companies predict future demand for products through data analysis. Demand forecasts help companies manage creative levels during the peak and trough, thereby ensuring the product is not dismissed or out of control. Facilitating business processes and control software, simplifies business processes, reduces turnaround times, reduces investment in creativity, and minimizes youth.
The forecast is a cloud propagation model that will grow at a higher CAGR over the period
The cloud usage model is expected to grow at a higher CAGR over the forecast period. Cloud-based solutions maintain a stronghold on the market for a variety of benefits, such as price control, resource pooling and less time to practice.
North America accounts for the largest market size during the forecast period
The global supply chain analysis market encompasses five major geographical regions: North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to be the largest account in the forecast period. North America is expected to hold the highest share and dominate the market from 2019 to 2024, due to the large presence of US consumers. The APAC region is facing major growth challenges, with rising costs in major countries, such as Japan, China, and India, and the demand for expensive processing software and services among small and medium enterprises. average (SME).
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Table of Content:
Chapter 1 Global Supply Chain Analytics Market Overview
Chapter 2 Global Economic Impact on Supply Chain Analytics Industry
Chapter 3 Global Supply Chain Analytics Market Competition by Manufacturers
Chapter 4 Global Supply Chain Analytic Production, Revenue (Value) by Region (2012-2018)
Chapter 5 Global Supply Chain Analytics Supply (Production), Consumption, Export, Import by Regions (2012-2018)
Chapter 6 Global Supply Chain Analytic Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Supply Chain Analytics Market Analysis by Application
Chapter 8 Supply Chain Analytics Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Supply Chain Analytics Market Forecast (2018-2023)
Chapter 13 Appendix
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