Supply Chain Analytics Market: Global Industry Analysis, Outlook, and Forecast 2027

Supply Chain Analytics Market size was valued at US$ 3.50 Bn. in 2020 and the total revenue is expected to grow at 19.82 % through 2021 to 2027, reaching nearly US$ 12.41 Bn.

Supply Chain Analytics Market Overview:

The global Supply Chain Analytics market was estimated at US$ 3.50 Billion in 2020, and it is expected to reach US$ 12.41 Billion by 2027, growing at a CAGR of 19.82 % over the forecasting period of 2021-2027. Supply chain analytics is a technology that enables data-driven decisions at the strategic, operational, and tactical levels to increase operational efficiency and effectiveness. It gives organisations data-driven knowledge and lowers the overall cost of serving. As a result, enterprises all over the world are increasingly turning to it to assess risks, improve planning accuracy, and provide a significant return on investment (ROI). Main competitors now offer advanced analytics that can handle structured and unstructured data, as well as develop relationships and trends between various sources to generate warnings. Supply Chain Analytics Market To know about the Research Methodology :- Request Free Sample Report 2020 is considered as a base year to forecast the market from 2021 to 2027. 2020’s market size is estimated on real numbers and outputs of the key players and major players across the globe. Past five years trends are considered while forecasting the market through 2027. 2020 is a year of exception and analysed specially with the impact of lockdown by region.

Supply Chain Analytics Market Dynamics:

The economic growth of the supply chain analytics market is being fueled by an increase in data generation among businesses and an increase in customer knowledge about the benefits of supply chain analytics. The majority of industrialists and experts agree that combining artificial intelligence with supply chain analytics might be a successful growth strategy for forecasting potential outcomes and providing a proactive action plan for inventory management. This integration is expected to give supply chain analytics a competitive edge in decreasing cost variations by enhancing sourcing and logistics. Supply chain analytics is a strategy for extracting meaningful patterns from raw data such as transaction, sensor, and shipment data using statistical tools and modelling techniques. Increasing awareness of supply chain analytics as a source of support is expanding. Businesses are anticipated to implement supply chain solutions as a result of the increased customer demand and awareness. The supply chain role has evolved into a vital component in enterprises, ensuring that goods and services are supplied on time and to the satisfaction of customers. By exploiting the acquired insights, SCA solutions promote strategic decision-making and assist organisations in strengthening their market position, optimising return on investment, and accelerating growth. Accenture PLC, for example, purchased Icon Integration Pty Ltd., a technology consultant firm in Australia and New Zealand that provided Business Intelligence (BI) solutions and SAP digital supply chain solutions and services, in February 2020. The former company's reach in Australia and New Zealand is likely to grow as a result of the transaction. Analytical techniques and simulation modelling are used in supply chain analytics to uncover significant patterns from raw data such as transaction, device, and shipping data. Supply chain analytics are becoming more widely recognised as a source of assistance. Growing consumer demand and awareness are expected to encourage businesses to embrace supply chain solutions. The supply chain has evolved into an important component of businesses, ensuring that goods and services are delivered on time and to customer loyalty. In supply chain analytics, analytical approaches and simulation modelling are utilised to find significant patterns from raw data such as transaction, device, and shipment data. Supply chain analytics are increasingly being recognised as a valuable resource. Businesses are anticipated to embrace supply chain solutions as consumer demand and awareness grow. The supply chain has grown in importance in enterprises, ensuring that goods and services are supplied on time and with customer loyalty in mind.

In 2020, supply chain analytics will face significant challenges:

Supply Chain Analytics Market 1

Market Trends:

The Year 2018 Was a Milestone Moment For Supply Chain Analytics:

In the next two to three years, 66 % of supply chain executives believe improved supply chain analytics will be vital to their business. According to the Hackett Group, the most of supply chain leaders feel compelled to apply advanced supply chain analytics and contribute to present and future operations. The majority of companies see the benefits of having advanced analytics that can scale across their whole supply chain. In the next two to three years, the most important use case for advanced supply chain analytics will be optimizing manufacturing and sourcing to lower overall landed costs (56 %). The Hackett Group compiled use cases in four categories: cost-cutting, quality-improvement, service-improvement, and working capital-improvement (optimizing inventory). Respondents give the highest aggregated critical significance score of 39 % to enhancing working capital (optimizing inventories), followed by lowering expenses (29.5 percent), increasing service (28.6 %), and improving quality (28.6 %) (25.75 %) To get greater business and supply chain visibility, 44% of supply chain leaders are improving the functionality and integration of their Enterprise Resource Planning (ERP) systems. Companies use legacy ERP systems as their primary systems of record for operating supply chain operations, with advanced supply chain analytics being used to achieve end-to-end supply network visibility. Virtual collaboration platforms for internal and external use are considered the greatest priority technological endeavour by 94 % of respondents in the next 2 to 3 years.

Global Supply Chain Analytics Market Segment Analysis:

The global Supply Chain Analytics Market is segmented by Solution, Service, Deployment, Enterprise Size and End-Use. Based on the Solution, the global Supply Chain Analytics market is sub-segmented into Logistics Analytics, Manufacturing Analytics, Planning & Procurement, Sales & Operations Analytics, and Visualization & Reporting. The Sales & Operations Analytics segment held the largest market share of 25% in 2020. The desire to enhance resource efficiency while lowering costs is a major factor driving industry growth in 2020. Over the forecast period, manufacturing analytics is expected to grow at a healthy rate. The rise of big data, which allows the simulation to be used to implement and support data analytics solutions in manufacturing processes, can be ascribed to the increase. A fundamental aspect driving industrial growth in 2020 is the goal to improve resource efficiency while cutting prices. Manufacturing analytics is likely to increase at a respectable rate during the forecast period. The increase can be attributed to the rise of big data, which enables simulation to be utilised to create and support data analytics solutions in industrial processes. Supply Chain Analytics Market 2 Based on the Services, the global Supply Chain Analytics market is sub-segmented into Professional and Support & Maintenance. The Professional segment held the largest market share of 62% in 2020. For each department, organisations use different automated systems with distinct deployment modes. To avoid data loss or theft, professional services are required to ensure that the new systems are compatible with the existing systems of numerous departments and to integrate the new systems with the existing ones. Over the projection period, the increased need for professional services for the analysis and preservation of vital data, as well as professional assistance on emerging technologies, is likely to drive segment growth. Supply Chain Analytics Market 3 Based on the Deployment, the global Supply Chain Analytics market is sub-segmented into Cloud and On-premise. The Cloud segment held the largest market share of 63% in 2020. Cloud deployment gives businesses more mobility and allows for large-scale customisation of products and services. The widespread deployment of IoT devices has increased OEM customers' reliance on cloud-based platforms as a result of technological advancements. Supply chain analytics solutions are being aggressively deployed on cloud-based platforms due to increased mobility and the convenience of accessing cloud services. Because of benefits such as data security and risk analysis, the sector is increasingly turning to big data analytics solutions.

Global Supply Chain Analytics Market Regional Insights:

North America held the largest market share of 36% in 2020. Because of the complexity of corporate processes, industrial organisations in North America are paying a greater focus on visual display of operational data. This allows businesses to quickly assess the current health of their supply chain from a data standpoint, allowing for better strategic decision-making. Over the forecast period, Europe is expected to grow at a promising rate. The European Commission's Single Market Strategy allows commodities, services, individuals, and investment to travel freely inside the region. Asia Pacific is expected to grow at a highest CAGR of 20.1% in the global supply chain analytics market during the forecast period. Recent developments, such as the Internet of Things (IoT) and artificial intelligence (AI), are being adopted on a wide scale throughout established enterprises. Manufacturing analytics solutions examine raw data from manufacturing processes and incorporate the capabilities of a variety of innovative technologies. Predictive analytics, big data, and edge computing are some of the tools that owners can use to make better business decisions. Another benefit of utilizing these technologies is that they assist in uncovering hidden variables that may be impeding the company's success and in increasing corporate productivity. Supply Chain Analytics Market 4 The objective of the report is to present a comprehensive analysis of the global Supply Chain Analytics Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market has been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The reports also helps in understanding the global Supply Chain Analytics Market dynamic, structure by analyzing the market segments and project the global Supply Chain Analytics Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the global Supply Chain Analytics Market make the report investor’s guide.

Global Supply Chain Analytics Market Scope: Inquire before buying

Supply Chain Analytics Market 5

Global Supply Chain Analytics Market, by Region

• North America • Europe • Asia Pacific • South America • Middle East and Africa

Global Supply Chain Analytics Market Key Players

• IBM • SAP • MicroStrategy • Tableau • Qlik • TIBCO • Cloudera • Logility • Savi Technology • Infor • RELEX Solutions • TARGIT • Voxware • The AnyLogic Company • Antuit • Axway • Domo • Datameer • 1010data • Rosslyn Analytics • Blue Yonder • Manhattan Associates • Accenture PLC

Frequently Asked Questions:

1] What segments are covered in Supply Chain Analytics Market report? Ans. The segments covered in Supply Chain Analytics Market report are based on Solution, Service, Deployment, Enterprise Size and End-Use. 2] Which region is expected to hold the highest share in the global Supply Chain Analytics Market? Ans. North America is expected to hold the highest share in the global Supply Chain Analytics Market. 3] What is the market size of global Supply Chain Analytics Market by 2027? Ans. The market size of global Supply Chain Analytics Market by 2027 is US $ 12.41 Bn. 4] Who are the top key players in the global Supply Chain Analytics Market? Ans. IBM, SAP, MicroStrategy, Tableau, Qlik, TIBCO and Cloudera are the top key players in the global Supply Chain Analytics Market. 5] What was the market size of global Supply Chain Analytics Market in 2020? Ans. The market size of global Supply Chain Analytics Market in 2020 was US $ 3.50 Bn.
1. Global Supply Chain Analytics Market: Research Methodology 2. Global Supply Chain Analytics Market: Executive Summary 2.1 Market Overview and Definitions 2.1.1. Introduction to Global Supply Chain Analytics Market 2.2. Summary 2.1.1. Key Findings 2.1.2. Recommendations for Investors 2.1.3. Recommendations for Market Leaders 2.1.4. Recommendations for New Market Entry 3. Global Supply Chain Analytics Market: Competitive Analysis 3.1 MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2 Consolidation in the Market 3.2.1 M&A by region 3.3 Key Developments by Companies 3.4 Market Drivers 3.5 Market Restraints 3.6 Market Opportunities 3.7 Market Challenges 3.8 Market Dynamics 3.9 PORTERS Five Forces Analysis 3.10 PESTLE 3.11 Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • Latin America 3.12 COVID-19 Impact 4. Global Supply Chain Analytics Market Segmentation 4.1 Global Supply Chain Analytics Market, by Solution (2020-2027) • Logistics Analytics • Manufacturing Analytics • Planning & Procurement • Sales & Operations Analytics • Visualization & Reporting 4.2 Global Supply Chain Analytics Market, by Service (2020-2027) • Professional • Support & Maintenance 4.3 Global Supply Chain Analytics Market, by Enterprise Size (2020-2027) • Large Enterprise • Small & Medium Enterprises 4.4 Global Supply Chain Analytics Market, by Deployment (2020-2027) • Cloud • On-premise 4.5 Global Supply Chain Analytics Market, by End-Use (2020-2027) • Retail & Consumer Goods • Healthcare • Manufacturing • Transportation • Aerospace & Defense • High Technology Products • Others 5. North America Supply Chain Analytics Market(2020-2027) 5.1 Global Supply Chain Analytics Market, by Solution (2020-2027) • Logistics Analytics • Manufacturing Analytics • Planning & Procurement • Sales & Operations Analytics • Visualization & Reporting 5.2 Global Supply Chain Analytics Market, by Service (2020-2027) • Professional • Support & Maintenance 5.3 Global Supply Chain Analytics Market, by Enterprise Size (2020-2027) • Large Enterprise • Small & Medium Enterprises 5.4 Global Supply Chain Analytics Market, by Deployment (2020-2027) • Cloud • On-premise 5.5 Global Supply Chain Analytics Market, by End-Use (2020-2027) • Retail & Consumer Goods • Healthcare • Manufacturing • Transportation • Aerospace & Defense • High Technology Products • Others 5.6 North America Supply Chain Analytics Market, by Country (2020-2027) • United States • Canada • Mexico 6. Asia Pacific Supply Chain Analytics Market (2020-2027) 6.1. Asia Pacific Supply Chain Analytics Market, by Solution (2020-2027) 6.2. Asia Pacific Supply Chain Analytics Market, by Service (2020-2027) 6.3. Asia Pacific Supply Chain Analytics Market, by Enterprise Size (2020-2027) 6.4. Asia Pacific Supply Chain Analytics Market, by Deployment (2020-2027) 6.5. Asia Pacific Supply Chain Analytics Market, by End-Use (2020-2027) 6.6. Asia Pacific Supply Chain Analytics Market, by Country (2020-2027) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 7. Middle East and Africa Supply Chain Analytics Market (2020-2027) 7.1 Middle East and Africa Supply Chain Analytics Market, by Solution (2020-2027) 7.2. Middle East and Africa Supply Chain Analytics Market, by Service (2020-2027) 7.3. Middle East and Africa Supply Chain Analytics Market, by Enterprise Size (2020-2027) 7.4. Middle East and Africa Supply Chain Analytics Market, by Deployment (2020-2027) 7.5. Middle East and Africa Supply Chain Analytics Market, by End-Use (2020-2027) 7.6. Middle East and Africa Supply Chain Analytics Market, by Country (2020-2027) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 8. Latin America Supply Chain Analytics Market (2020-2027) 8.1. Latin America Supply Chain Analytics Market, by Solution (2020-2027) 8.2. Latin America Supply Chain Analytics Market, by Service (2020-2027) 8.3. Latin America Supply Chain Analytics Market, by Enterprise Size (2020-2027) 8.4. Latin America Supply Chain Analytics Market, by Deployment (2020-2027) 8.5. Latin America Supply Chain Analytics Market, by End-Use (2020-2027) 8.6. Latin America Supply Chain Analytics Market, by Country (2020-2027) • Brazil • Argentina • Rest Of Latin America 9. European Supply Chain Analytics Market (2020-2027) 9.1. European Supply Chain Analytics Market, by Solution (2020-2027) 9.2. European Supply Chain Analytics Market, by Service (2020-2027) 9.3. European Supply Chain Analytics Market, by Enterprise Size (2020-2027) 9.4. European Supply Chain Analytics Market, by Deployment (2020-2027) 9.5. European Supply Chain Analytics Market, by End-Use (2020-2027) 9.6. European Supply Chain Analytics Market, by Country (2020-2027) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 10. Company Profile: Key players 10.1. IBM 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Global Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2. SAP 10.3. MicroStrategy 10.4. Tableau 10.5. Qlik 10.6. TIBCO 10.7. Cloudera 10.8. Logility 10.9. Savi Technology 10.10. Infor 10.12. RELEX Solutions 10.13. TARGIT 10.14. Voxware 10.15. The AnyLogic Company 10.16. Antuit 10.17. Axway 10.18. Domo 10.19. Datameer 10.20. 1010data 10.21. Rosslyn Analytics 10.22. Blue Yonder 10.23. Manhattan Associates 10.24. Accenture PLC

About This Report

Report ID24170
Category Information Technology & Telecommunication
Published DateJan 2019
Updated DateNov 2021
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