Dublin, Feb. 25, 2019 (GLOBE NEWSWIRE) -- The "Supply Chain Analytics Market by Software (Supplier Performance Analytics, Demand Analysis and Forecasting, and Inventory Analytics), Services, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.
This research estimates the global supply chain analytics market to grow from USD 3.6 billion in 2018 to USD 7.1 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 14.6% during the forecast period.
The demand needs offer precise demand forecasting and analysis tools and adequate efficiencies across the total supply chain process are propelling the growth of the supply chain and analytics market. However, the lack of skilled personnel would limit the growth of the market.
Need to analyze demand patterns, develop effective production plans, and improvise forecast accuracy would to drive the adoption of demand analysis and forecasting software solutions
Demand analysis and forecasting are one of the major software in the supply chain analytics market that helps companies forecast the future demands for a product through historical data analysis. Demand forecasting helps the company manage inventory levels during peaks and troughs, thereby ensuring the products are not over-stocked or understocked. The demand analysis and forecasting solution facilitate businesses to boost their service levels, shorten cycle times, reduce inventory investment, and minimize obsolescence.
Cloud-based supply chain analytics software are to gaining traction owing to improved agility, scalability, and security
Owing to an increasing number of applications being deployed over the cloud, there is a shift from traditional on-premises supply chain software to cloud-based supply chain software across enterprises of all sizes. On-premises deployment allows organizations to control all the systems and data, but organizations also have to pay the cost for hardware, software, and other resources used for its maintenance. It also restricts the storage capacity that is needed to maintain new functionalities and technologies.
Supply chain analytics market in APAC (Asia Pacific) is projected to grow at the highest CAGR during the forecast period
The high growth of the supply chain market in the Asia Pacific (APAC) is attributed to the flexible economic conditions, industrialization and globalization-motivated policies of governments, and the expanding digitalization in the region. Being the home region for technologically advanced countries such as China, India, Japan, South Korea, and Singapore, which are considered as technologically advanced countries, the growth prospect of deploying for advanced supply chain analytics solutions in this region looks sharp. Moreover, the growing traction of the manufacturing industry vertical across China and India and the rising eCommerce across the APAC region are expected to offer unprecedented opportunities to the supply chain analytics software vendors to sell their solutions in the region.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Supply Chain Analytics Market
4.2 Supply Chain Analytics Market Share, By Component
4.3 Supply Chain Analytics Market, By Deployment Model
4.4 Supply Chain Analytics Market, By Industry Vertical
4.5 Supply Chain Analytics Market, By Region
5 Market Overview
5.1 Introduction
5.1.1 Drivers
5.1.1.1 Increasing Volume and Velocity of Data
5.1.1.2 Need to Enhance Operational and Supply Chain Efficiencies
5.1.1.3 Advent of AI and Machine Learning Into Supply Chain Management
5.1.2 Restraints
5.1.2.1 Growing Concerns for Data Security Across Enterprises
5.1.2.2 Inaccuracies in Data Sets
5.1.3 Opportunities
5.1.3.1 Increasing Adoption of Cloud-Based Supply Chain Analytics
5.1.3.2 Increasing Awareness Toward the Adoption of Supply Chain Solutions
5.1.4 Challenges
5.1.4.1 Lack of Skilled Personnel
5.1.4.2 Reluctance to Adopt Advanced Analytical Technologies
5.2 Industry Trends
5.2.1 Technology Types
5.2.2 Supply Chain Analytics: Use Cases
5.2.2.1 Use Case #1: Optimizing Inventory Management
5.2.2.2 Use Case #2: Identifying Out-Of-Stock Instances
5.2.2.3 Use Case #3: Improve the Distribution of Products to the Target Audiences
5.2.3 Analytics Types
5.2.4 Ecosystem
6 Supply Chain Analytics Market, By Software
6.1 Introduction
6.2 Demand Analysis and Forecasting
6.2.1 Advancements in Machine Learning and Artificial Intelligence to Accelerate the Adoption for Demand Analysis and Forecasting Software
6.3 Supplier Performance Analytics
6.3.1 Need for A Unified Account of Suppliers to Drive the Market Growth
6.4 Spend and Procurement Analytics
6.4.1 Need for Better Control Over Expenditures to Trigger the Growth of the Spend and Procurement Analytics Software
6.5 Inventory Analytics
6.5.1 Need for Managing Inventory Levels During Peaks and Troughs to Trigger the Unprecedented Growth of the Inventory Analytics Software
6.6 Transportation and Logistics Analytics
6.6.1 Gaining Real-Time Visibility Into Global and Domestic Shipping and Executing Transportation Plans Seamlessly to Propel the Growth of the Transportation and Logistics Analytics Software
7 Supply Chain Analytics Market, By Service
7.1 Introduction
7.2 Managed Services
7.2.1 Post Deployment of Software, the Need for Cost-Effective Services Drives the Managed Services Market
7.3 Professional Services
7.3.1 Consulting Services
7.3.1.1 Need for Enhancing the Strategic Outlook of Organizations to Drive the Growth of the Consulting Services Segment
7.3.2 Support and Maintenance Services
7.3.2.1 Initial Need for Support and Maintenance During Pre-Installation and Post-Installation to Trigger the Growth of Support and Maintenance Services
7.3.3 Deployment and Integration Services
7.3.3.1 Need for Integrating Advanced Analytical Solutions With Existing/Traditional Services to Drive the Growth of Deployment and Integration Services
8 Supply Chain Analytics Market, By Deployment Model
8.1 Introduction
8.2 On-Premises
8.2.1 Need for Better Control Over Confidential Data to Propel the Adoption of On-Premises Solutions
8.3 Cloud
8.3.1 Focus on Improved Agility and Return on Investment to Drive the Adoption of the Cloud Deployment Model
9 Supply Chain Analytics Market, By Organization Size
9.1 Introduction
9.2 Small and Medium-Sized Enterprises
9.2.1 Small and Medium-Sized Enterprises to Adopt the Pay-As-You-Go Model to Flexibly Manage the It Infrastructure as Per Their Requirements
9.3 Large Enterprises
9.3.1 Supply Chain Analytics to Help Large Organizations Reduce Infrastructure Costs, Improve Business Functioning, and Sustain Intense Competition
10 Supply Chain Analytics Market, By Industry Vertical
10.1 Introduction
10.2 Automotive
10.2.1 Advance Research Taking Place Around Autonomous Cars to Be A Potential Opportunity Awaiting for Supply Chain Analytics Vendors
10.3 Retail and Consumer Goods
10.3.1 Inventory Planning and Optimization, Reduction in Logistics and Transportation Costs, and Enhanced Overall Profitability to Organizations to Drive the Adoption of Supply Chain Analytics
10.4 F&B Manufacturing
10.4.1 Need for Better Inventory Optimization to Trigger the Growth of the F&B Manufacturing Industry Vertical
10.5 Machinery and Industrial Equipment Manufacturing
10.5.1 Companies to Harness the Power of Digitalization to Streamline Operations for Meeting the Business Needs
10.6 Pharmaceuticals
10.6.1 Need to Improve Supply Chain Efficiency Due to Increase in Drug Patent Expirations and Decreased Profit Margins
10.7 Government
10.7.1 Supply Chain Analytics Solutions Provide Spend and Procurement Analytics Capabilities That Empower Government Agencies to Minimize Price, Optimize Performance, and Achieve Socio-Economic Goals
10.8 Energy and Utilities
10.8.1 Organizations Catering to the Energy and Utilities Industry Vertical to Deal With Government Policies, Tax Initiatives, and Subsidies to Promote Energy Conservation and Demand Reduction
11 Supply Chain Analytics Market, By Region
12 Competitive Landscape
- 1010data
- Aimms
- Antuit
- Axway
- Bridgei2i
- Cloudera
- Dataiku
- Domo
- IBM
- Infor
- Logility
- Microstrategy
- Oracle
- Qlik
- Relex Solutions
- Rosslyn Analytics
- SAP
- SAS Institute
- Savi Technology
- Software AG
- Tableau
- Targit
- The Anylogic Company
- Tibco Software
- Voxware
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