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