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Cloud Supply Chain Management (SCM) Software Market: Global Drivers, Trends, and Forecasts to 2023
Published Date: March 2019
|
Report Code: INFO-Othe-128
Home | Category |Business & Industrial |Business Operations |Management
Cloud Supply Chain Management Software Market Global Drivers Trends and Forecasts to 2023

Cloud Supply Chain Management (SCM) Software Market: Global Drivers, Trends, and Forecasts to 2023

Code: INFO-Othe-128
Report
March 2019
78 Pages
Infoholic Research
Region: North America, Europe, Asia Pacific, Global,
Description
Table of Content
Tables & Figures

Cloud-based Supply Chain Management (SCM) Software Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023

Brief: Cloud technology has been around for almost 20 years now, but supply chain professionals are still reluctant to adopt cloud and migrate their systems. Though the industry is in its initial stages, cloud computing will help supply chain managers to closely track a product throughout its lifecycle. Cloud-based SCM will significantly cut down the product cost as it will locate the shipment during any stage of the transportation. With the changing supply chain environment, cloud computing will become an advantageous process, gaining more market traction over the traditional systems. While the traditional SCM is more transactional, the cloud approach offers a 360-degree control and real-time monitoring. Cloud-based SCM offers scalability, reliability, cost-effective, integrated design, and immediacy over localized SCM model.

Market Analysis: The SCM market is mature, however, the emergence of cloud computing has changed the industry landscape and has improved customer experience. The “cloud-based SCM software” market is expected to reach $7.03 billion by 2023, growing at a CAGR of 14.3% during the forecast period 2017–2023. The incorporation of cloud into SCM creates myriad benefits that redefine the traditional supply chain networks, offers better supply chain visibility, helps in handling the surging data volumes and in integrating digital technologies. Moreover, the need for improved business agility, scalability, faster deployment, and reduction in TOC will drive the organizations to deploy cloud model of SCM.

Product Analysis: The market study of cloud-based SCM will talk about the types that include supply chain planning, procurement, manufacturing execution system, warehouse management system, and transportation management system. The procurement software market will grow due to investments from large enterprises in procurement applications and from SMEs in cloud-based procurement software. The pressing need to consolidate and improve purchasing power will drive the market toward cloud-based software. The manufacturing execution system will have the highest growth rate with rise in automation, faster ROI, stringent government regulations, reduced lead times, reduction in production cost, and better operational excellence.

Regional Analysis: North America is estimated to have the largest market share in 2017 and is expected to maintain the same till 2023. Asia Pacific is expected to grow at the highest CAGR during the forecast period due to the growing awareness about cloud-based SCM among enterprises, especially SMEs. Factors such as rising need for infrastructure management system and shifting of workload to a cloud model will increase the market revenue.
Key Players: SAP, Oracle, JDA Software, Epicor, Manhattan Associates, Descartes Systems Group, HighJump Software, IBM, and Kewill Systems.

Competitive Analysis: The study covers and analyzes the “Cloud-based Supply Chain Management (SCM) Software” market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalists and other companies in understanding the companies better and take informed decisions.

Table of Contents


1 Industry Outlook
1.1 Introduction
1.2 Industry Overview
1.3 Industry Trends
1.4 PEST Analysis
2 Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 Market Snapshot
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Market
3.3.1 Retail Inventory Management Software
4 Market Outlook
4.1 Overview
4.2 Market Definition – Infoholic Research
4.3 Segmentation
4.4 Porter 5 (Five) Forces
5 Market Characteristics
5.1 Cloud Computing for Supply Chains
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increase in the adoption of cloud computing
5.2.1.2 Rise in the demand for e-procurement
5.2.1.3 Cloud computing solutions for logistics
5.2.1.4 Need for demand management solutions
5.2.2 Restraints
5.2.2.1 Privacy and security concerns
5.2.2.2 Lack of customization
5.2.3 Opportunities
5.2.3.1 IoT in supply chain
5.2.3.2 Big data and analytics
5.2.3.3 Demand from developing economies
5.3 DRO – Impact Analysis
5.4 Key Stakeholders
6 Types: Market Size and Analysis
6.1 Supply Chain Planning
6.2 Transportation Management Systems
6.3 Warehouse Management System
6.4 Procurement Software
6.5 Manufacturing Execution Systems
7 Deployment Model: Market Size and Analysis
7.1 Overview
7.2 Public
7.3 Private
7.4 Hybrid
8 End-users: Market Size and Analysis
8.1 Overview
8.2 Retail
8.3 Manufacturing
8.4 Healthcare
8.5 Food & Beverage
8.6 Logistics
8.7 Others
9 Regions: Market Size and Analysis
9.1 Overview
9.2 North America
9.2.1 Market Size and Analysis
9.2.2 DRO for North America
9.2.3 US
9.3 Europe
9.3.1 Market Size and Analysis
9.3.2 DRO for Europe
9.3.3 UK
9.3.4 Germany
9.3.5 France
9.4 Asia Pacific
9.4.1 DRO for APAC
9.4.2 China
9.4.3 India
9.4.4 Japan
9.5 LAMEA
9.5.1 DRO
9.5.2 Brazil
9.5.3 Mexico
9.5.4 Middle East
10 Competitive Landscape
10.1 Overview
10.2 Acquisitions
11 Vendor Profiles
11.1 Oracle Corp.
11.1.1 Overview
11.1.2 Business Unit
11.1.3 Geography Revenue
11.1.4 Business Focus
11.1.5 SWOT Analysis
11.1.6 Business Strategy
11.2 SAP AG
11.2.1 Overview
11.2.2 Business Unit
11.2.3 Geography Revenue
11.2.4 Business Focus
11.2.5 SWOT Analysis
11.2.6 Business Strategy
11.3 Manhattan Associates
11.3.1 Overview
11.3.2 Business Unit
11.3.3 Geographical Revenue
11.3.4 Business Focus
11.3.5 SWOT Analysis
11.3.6 Business Strategy
11.4 JDA Software
11.4.1 Overview
11.4.2 Geographical Revenue
11.4.3 Business Focus
11.4.4 SWOT Analysis
11.4.5 Business Strategy
11.5 Epicor Software Corporation
11.5.1 Overview
11.5.2 Geographical Revenue
11.5.3 Business Focus
11.5.4 SWOT Analysis
11.5.5 Business Strategy
12 Global Generalist
12.1 Descartes Systems Group
12.2 HighJump Software Inc.
12.3 IBM Corp.
12.4 Kewill Systems (BluJay Solutions)
12.5 Infor
Annexure
Ø Abbreviations



List of Tables

TABLE 1 CLOUD SCM MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 2 CLOUD SCM MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 3 PUBLIC CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 4 PRIVATE CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 5 HYBRID CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 6 CLOUD-BASED SCM MARKET REVENUE BY END-USER, 2017–2023 ($BILLION)
TABLE 7 CLOUD-BASED SCM MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
TABLE 8 NORTH AMERICA: DRO
TABLE 9 NORTH AMERICA MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 10 NORTH AMERICA MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 11 NORTH AMERICA MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 12 DRO FOR EUROPE
TABLE 13 EUROPE MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 14 EUROPE MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 15 EUROPE MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 16 DRO: APAC
TABLE 17 APAC MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 18 APAC MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 19 APAC MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 20 DRO: LAMEA
TABLE 21 LAMEA MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 22 LAMEA MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 23 LAMEA MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 24 SUPPLY CHAIN PLANNING PROVIDERS
TABLE 25 TRANSPORTATION MANAGEMENT SYSTEM PROVIDERS
TABLE 26 WAREHOUSE MANAGEMENT SYSTEM PROVIDERS
TABLE 27 MANUFACTURING EXECUTION SYSTEM PROVIDERS
TABLE 28 PROCUREMENT SOFTWARE PROVIDERS
TABLE 29 ORACLE: OVERVIEW SNAPSHOT
TABLE 30 ORACLE: BUSINESS UNIT
TABLE 31 ORACLE: GEOGRAPHY REVENUE
TABLE 32 ORACLE: SWOT ANALYSIS
TABLE 33 SAP: OVERVIEW SNAPSHOT
TABLE 34 SAP: BUSINESS UNIT
TABLE 35 SAP: GEOGRAPHY REVENUE
TABLE 36 MANHATTAN ASSOCIATES: OVERVIEW SNAPSHOT
TABLE 37 MANHATTAN ASSOCIATES: BUSINESS UNIT
TABLE 38 MANHATTAN ASSOCIATES: GEOGRAPHICAL REVENUE


List of Charts

CHART 1 PEST ANALYSIS OF CLOUD-BASED SUPPLY CHAIN MANAGEMENT MARKET
CHART 2 RESEARCH METHODOLOGY OF THE CLOUD-BASED SCM MARKET
CHART 3 SCM MARKET REVENUE, 2017–2023 ($BILLION)
CHART 4 CLOUD-BASED SCM MARKET REVENUE, 2017–2023 ($BILLION)
CHART 5 PORTER 5 FORCES ON CLOUD-BASED SCM MARKET
CHART 6 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
CHART 7 DRO – IMPACT ANALYSIS OF CLOUD-BASED SCM MARKET
CHART 8 KEY STAKEHOLDERS
CHART 9 SCP MARKET REVENUE, 2017–2023 ($BILLION)
CHART 10 TMS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 11 WMS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 12 PROCUREMENT SOFTWARE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 13 MES MARKET REVENUE, 2017–2023 ($BILLION)
CHART 14 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 15 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 16 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 17 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
CHART 18 MANUFACTURING MARKET REVENUE, 2017–2023 ($BILLION)
CHART 19 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 20 FOOD & BEVERAGE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 21 LOGISTICS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 22 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 23 NORTH AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
CHART 24 EUROPE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 25 APAC MARKET REVENUE, 2017–2023 ($BILLION)
CHART 26 LAMEA MARKET REVENUE, 2017–2023 ($BILLION)
CHART 27 JDA SOFTWARE COMPANY PROFILE: MARKET OUTLOOK
CHART 28 JDA SOFTWARE: GEOGRAPHICAL REVENUE
CHART 29 JDA SOFTWARE: SWOT ANALYSIS
CHART 30 EPICOR SOFTWARE CORPORATION COMPANY PROFILE: MARKET OUTLOOK
CHART 31 EPICOR SOFTWARE CORPORATION: GEOGRAPHICAL REVENUE
CHART 32 EPICOR SOFTWARE CORPORATION: SWOT ANALYSIS

Cloud-based Supply Chain Management (SCM) Software Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023

Brief: Cloud technology has been around for almost 20 years now, but supply chain professionals are still reluctant to adopt cloud and migrate their systems. Though the industry is in its initial stages, cloud computing will help supply chain managers to closely track a product throughout its lifecycle. Cloud-based SCM will significantly cut down the product cost as it will locate the shipment during any stage of the transportation. With the changing supply chain environment, cloud computing will become an advantageous process, gaining more market traction over the traditional systems. While the traditional SCM is more transactional, the cloud approach offers a 360-degree control and real-time monitoring. Cloud-based SCM offers scalability, reliability, cost-effective, integrated design, and immediacy over localized SCM model.

Market Analysis: The SCM market is mature, however, the emergence of cloud computing has changed the industry landscape and has improved customer experience. The “cloud-based SCM software” market is expected to reach $7.03 billion by 2023, growing at a CAGR of 14.3% during the forecast period 2017–2023. The incorporation of cloud into SCM creates myriad benefits that redefine the traditional supply chain networks, offers better supply chain visibility, helps in handling the surging data volumes and in integrating digital technologies. Moreover, the need for improved business agility, scalability, faster deployment, and reduction in TOC will drive the organizations to deploy cloud model of SCM.

Product Analysis: The market study of cloud-based SCM will talk about the types that include supply chain planning, procurement, manufacturing execution system, warehouse management system, and transportation management system. The procurement software market will grow due to investments from large enterprises in procurement applications and from SMEs in cloud-based procurement software. The pressing need to consolidate and improve purchasing power will drive the market toward cloud-based software. The manufacturing execution system will have the highest growth rate with rise in automation, faster ROI, stringent government regulations, reduced lead times, reduction in production cost, and better operational excellence.

Regional Analysis: North America is estimated to have the largest market share in 2017 and is expected to maintain the same till 2023. Asia Pacific is expected to grow at the highest CAGR during the forecast period due to the growing awareness about cloud-based SCM among enterprises, especially SMEs. Factors such as rising need for infrastructure management system and shifting of workload to a cloud model will increase the market revenue.
Key Players: SAP, Oracle, JDA Software, Epicor, Manhattan Associates, Descartes Systems Group, HighJump Software, IBM, and Kewill Systems.

Competitive Analysis: The study covers and analyzes the “Cloud-based Supply Chain Management (SCM) Software” market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalists and other companies in understanding the companies better and take informed decisions.

Read More

Table of Contents


1 Industry Outlook
1.1 Introduction
1.2 Industry Overview
1.3 Industry Trends
1.4 PEST Analysis
2 Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 Market Snapshot
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Market
3.3.1 Retail Inventory Management Software
4 Market Outlook
4.1 Overview
4.2 Market Definition – Infoholic Research
4.3 Segmentation
4.4 Porter 5 (Five) Forces
5 Market Characteristics
5.1 Cloud Computing for Supply Chains
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increase in the adoption of cloud computing
5.2.1.2 Rise in the demand for e-procurement
5.2.1.3 Cloud computing solutions for logistics
5.2.1.4 Need for demand management solutions
5.2.2 Restraints
5.2.2.1 Privacy and security concerns
5.2.2.2 Lack of customization
5.2.3 Opportunities
5.2.3.1 IoT in supply chain
5.2.3.2 Big data and analytics
5.2.3.3 Demand from developing economies
5.3 DRO – Impact Analysis
5.4 Key Stakeholders
6 Types: Market Size and Analysis
6.1 Supply Chain Planning
6.2 Transportation Management Systems
6.3 Warehouse Management System
6.4 Procurement Software
6.5 Manufacturing Execution Systems
7 Deployment Model: Market Size and Analysis
7.1 Overview
7.2 Public
7.3 Private
7.4 Hybrid
8 End-users: Market Size and Analysis
8.1 Overview
8.2 Retail
8.3 Manufacturing
8.4 Healthcare
8.5 Food & Beverage
8.6 Logistics
8.7 Others
9 Regions: Market Size and Analysis
9.1 Overview
9.2 North America
9.2.1 Market Size and Analysis
9.2.2 DRO for North America
9.2.3 US
9.3 Europe
9.3.1 Market Size and Analysis
9.3.2 DRO for Europe
9.3.3 UK
9.3.4 Germany
9.3.5 France
9.4 Asia Pacific
9.4.1 DRO for APAC
9.4.2 China
9.4.3 India
9.4.4 Japan
9.5 LAMEA
9.5.1 DRO
9.5.2 Brazil
9.5.3 Mexico
9.5.4 Middle East
10 Competitive Landscape
10.1 Overview
10.2 Acquisitions
11 Vendor Profiles
11.1 Oracle Corp.
11.1.1 Overview
11.1.2 Business Unit
11.1.3 Geography Revenue
11.1.4 Business Focus
11.1.5 SWOT Analysis
11.1.6 Business Strategy
11.2 SAP AG
11.2.1 Overview
11.2.2 Business Unit
11.2.3 Geography Revenue
11.2.4 Business Focus
11.2.5 SWOT Analysis
11.2.6 Business Strategy
11.3 Manhattan Associates
11.3.1 Overview
11.3.2 Business Unit
11.3.3 Geographical Revenue
11.3.4 Business Focus
11.3.5 SWOT Analysis
11.3.6 Business Strategy
11.4 JDA Software
11.4.1 Overview
11.4.2 Geographical Revenue
11.4.3 Business Focus
11.4.4 SWOT Analysis
11.4.5 Business Strategy
11.5 Epicor Software Corporation
11.5.1 Overview
11.5.2 Geographical Revenue
11.5.3 Business Focus
11.5.4 SWOT Analysis
11.5.5 Business Strategy
12 Global Generalist
12.1 Descartes Systems Group
12.2 HighJump Software Inc.
12.3 IBM Corp.
12.4 Kewill Systems (BluJay Solutions)
12.5 Infor
Annexure
Ø Abbreviations



Read More

List of Tables

TABLE 1 CLOUD SCM MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 2 CLOUD SCM MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 3 PUBLIC CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 4 PRIVATE CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 5 HYBRID CLOUD: ADVANTAGES AND DISADVANTAGES
TABLE 6 CLOUD-BASED SCM MARKET REVENUE BY END-USER, 2017–2023 ($BILLION)
TABLE 7 CLOUD-BASED SCM MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
TABLE 8 NORTH AMERICA: DRO
TABLE 9 NORTH AMERICA MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 10 NORTH AMERICA MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 11 NORTH AMERICA MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 12 DRO FOR EUROPE
TABLE 13 EUROPE MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 14 EUROPE MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 15 EUROPE MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 16 DRO: APAC
TABLE 17 APAC MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 18 APAC MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 19 APAC MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 20 DRO: LAMEA
TABLE 21 LAMEA MARKET REVENUE BY TYPES, 2017–2023 ($BILLION)
TABLE 22 LAMEA MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
TABLE 23 LAMEA MARKET REVENUE BY END-USERS, 2017–2023 ($BILLION)
TABLE 24 SUPPLY CHAIN PLANNING PROVIDERS
TABLE 25 TRANSPORTATION MANAGEMENT SYSTEM PROVIDERS
TABLE 26 WAREHOUSE MANAGEMENT SYSTEM PROVIDERS
TABLE 27 MANUFACTURING EXECUTION SYSTEM PROVIDERS
TABLE 28 PROCUREMENT SOFTWARE PROVIDERS
TABLE 29 ORACLE: OVERVIEW SNAPSHOT
TABLE 30 ORACLE: BUSINESS UNIT
TABLE 31 ORACLE: GEOGRAPHY REVENUE
TABLE 32 ORACLE: SWOT ANALYSIS
TABLE 33 SAP: OVERVIEW SNAPSHOT
TABLE 34 SAP: BUSINESS UNIT
TABLE 35 SAP: GEOGRAPHY REVENUE
TABLE 36 MANHATTAN ASSOCIATES: OVERVIEW SNAPSHOT
TABLE 37 MANHATTAN ASSOCIATES: BUSINESS UNIT
TABLE 38 MANHATTAN ASSOCIATES: GEOGRAPHICAL REVENUE


List of Charts

CHART 1 PEST ANALYSIS OF CLOUD-BASED SUPPLY CHAIN MANAGEMENT MARKET
CHART 2 RESEARCH METHODOLOGY OF THE CLOUD-BASED SCM MARKET
CHART 3 SCM MARKET REVENUE, 2017–2023 ($BILLION)
CHART 4 CLOUD-BASED SCM MARKET REVENUE, 2017–2023 ($BILLION)
CHART 5 PORTER 5 FORCES ON CLOUD-BASED SCM MARKET
CHART 6 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
CHART 7 DRO – IMPACT ANALYSIS OF CLOUD-BASED SCM MARKET
CHART 8 KEY STAKEHOLDERS
CHART 9 SCP MARKET REVENUE, 2017–2023 ($BILLION)
CHART 10 TMS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 11 WMS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 12 PROCUREMENT SOFTWARE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 13 MES MARKET REVENUE, 2017–2023 ($BILLION)
CHART 14 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 15 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 16 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION)
CHART 17 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
CHART 18 MANUFACTURING MARKET REVENUE, 2017–2023 ($BILLION)
CHART 19 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 20 FOOD & BEVERAGE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 21 LOGISTICS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 22 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
CHART 23 NORTH AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
CHART 24 EUROPE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 25 APAC MARKET REVENUE, 2017–2023 ($BILLION)
CHART 26 LAMEA MARKET REVENUE, 2017–2023 ($BILLION)
CHART 27 JDA SOFTWARE COMPANY PROFILE: MARKET OUTLOOK
CHART 28 JDA SOFTWARE: GEOGRAPHICAL REVENUE
CHART 29 JDA SOFTWARE: SWOT ANALYSIS
CHART 30 EPICOR SOFTWARE CORPORATION COMPANY PROFILE: MARKET OUTLOOK
CHART 31 EPICOR SOFTWARE CORPORATION: GEOGRAPHICAL REVENUE
CHART 32 EPICOR SOFTWARE CORPORATION: SWOT ANALYSIS

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