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 supply chain analytics market is segmented based on components (software and services), deployment models, organization size, industry verticals, and regions. The supply chain analytics vendors are offering various software, such as demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics.
The inventory analytics software witnessed an increased demand across various industry verticals, owing to optimized inventory levels to enhance the sales performance to improve cost exposure, maintain optimum inventory, and increase turnover. Cloud-based supply chain analytics software is gaining traction across various industries; with growing digitalization, the demand for agility is also rising.
The Small and Medium sized Enterprises (SMEs) are inclining toward cloud-based solutions with their shift from CAPEX and OPEX. Large enterprises continue to dominate throughout the forecast period with their aim to increase the company's overall productivity and efficiency by adopting advanced analytics solutions.
Among industry verticals, the retail and consumer goods industry vertical is expected to garner the highest revenue due to the proliferation of eCommerce industries across regions. With the availability of AI-enabled supply chain analytics solutions, the demand for supply chain analytics tools is expected to increase further. The automotive industry vertical is expected to grow at the highest CAGR during the forecast period.
North America is expected to hold the largest market size in the overall supply chain analytics market, followed by Europe, owing to the technological upgradations in these regions. The adoption rate of supply chain analytics platform and software is increasing in APAC, MEA, and Latin America due to the increasing amount of business data across various industry verticals in these regions.
Key Topics Covered:
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 220.127.116.11 Increasing Volume and Velocity of Data 18.104.22.168 Need to Enhance Operational and Supply Chain Efficiencies 22.214.171.124 Advent of AI and Machine Learning Into Supply Chain Management 5.1.2 Restraints 126.96.36.199 Growing Concerns for Data Security Across Enterprises 188.8.131.52 Inaccuracies in Data Sets 5.1.3 Opportunities 184.108.40.206 Increasing Adoption of Cloud-Based Supply Chain Analytics 220.127.116.11 Increasing Awareness Toward the Adoption of Supply Chain Solutions 5.1.4 Challenges 18.104.22.168 Lack of Skilled Personnel 22.214.171.124 Reluctance to Adopt Advanced Analytical Technologies 5.2 Industry Trends 5.2.1 Technology Types 5.2.2 Supply Chain Analytics: Use Cases 126.96.36.199 Use Case #1: Optimizing Inventory Management 188.8.131.52 Use Case #2: Identifying Out-Of-Stock Instances 184.108.40.206 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 220.127.116.11 Need for Enhancing the Strategic Outlook of Organizations to Drive the Growth of the Consulting Services Segment 7.3.2 Support and Maintenance Services 18.104.22.168 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 22.214.171.124 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
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