Supply Chain Analytics Market Analysis and Global Forecast 2023-2033

Supply Chain Analytics Market Overview

Supply Chain Analytics Market Size is expected to reach USD 33.54 Billion by 2033. The Supply Chain Analytics industry size accounted for USD 5.24 Billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 17.14% from 2023 to 2033. The Supply Chain Analytics Market involves the use of data analysis tools and techniques to improve decision-making across the supply chain. This market enables organizations to optimize operations, reduce costs, enhance customer satisfaction, and manage risks more effectively by leveraging insights from big data, machine learning, and AI. Key areas of application include demand forecasting, inventory management, logistics optimization, and supplier performance analysis. The market is driven by the increasing complexity of global supply chains, the need for real-time data, and the demand for improved transparency and efficiency.

Global Supply Chain Analytics Market Synopsis

COVID-19 Impact Analysis

The COVID-19 pandemic has led to supply chain disruptions leading to supply shortages or lower demand in the Supply Chain Analytics market. The travel restrictions and social-distancing measures have resulted in a sharp drop in consumer and business spending and this pattern is to continue for some time. The end-user trend and preferences have changed due to the pandemic and have resulted in manufacturers, developers, and service providers to adopt various strategies to stabilize the company.

Global Supply Chain Analytics Market Dynamics

The major factors that have impacted the growth of Supply Chain Analytics are as follows:

Drivers:

⮚      Growing Complexity of Supply Chains

As supply chains become increasingly global and intricate, the need for advanced analytics to manage and optimize these complex networks has intensified. Companies are facing challenges such as multi-tier supplier networks, diverse regulatory requirements, and volatile demand patterns, which necessitate sophisticated analytics to ensure smooth operations.

Restraint:

• Data Privacy and Security Concerns

The collection and analysis of sensitive data pose risks related to data privacy and security. Companies must ensure that their analytics solutions comply with data protection regulations and implement robust security measures to prevent breaches. Concerns over data security can deter organizations from adopting analytics solutions or limit the extent of their use.

Opportunity:

⮚      Advancements in AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) in supply chain analytics offers numerous opportunities. These technologies enable more accurate demand forecasting, predictive analytics, and automated decision-making. Companies can leverage AI and ML to enhance supply chain visibility, improve forecasting accuracy, and optimize operations, creating a growing market for innovative analytics solutions.

Supply Chain Analytics Market Segment Overview

By Component

Based on the Component, the market is segmented based on Demand Analysis and Forecasting, Software, Supplier Performance Analytics, Spend and Procurement Analytics, Inventory Analytics, Others. Demand Analysis and Forecasting often dominates due to its critical role in predicting future demand, optimizing inventory levels, and improving overall supply chain efficiency.

By Enterprise Size

Based on Enterprise Size, the market has been divided into Large Enterprises, Small & Medium Enterprises (SMEs). Large Enterprises typically dominate due to their extensive supply chain operations, greater resources, and higher investment capacity for advanced analytics solutions compared to Small & Medium Enterprises (SMEs).

By Deployment

Based on the Deployment, the market has been divided into On-premise, Cloud. Cloud-based deployment generally dominates due to its scalability, flexibility, and lower upfront costs, making it more accessible for a wide range of organizations compared to on-premise solutions.

By Industry Vertical

Based on Industry Vertical, the market has been divided into Automotive, Food & Beverages, Healthcare & Pharmaceuticals, Manufacturing, Retail & Consumer Goods, Others. the Manufacturing sector typically dominates due to its extensive need for optimization in inventory management, production processes, and supply chain efficiency. This sector’s complexity and scale drive significant demand for advanced analytics solutions.

Global Supply Chain Analytics Market Regional Analysis

Based on region, the market has been divided into North America, Europe, Asia-Pacific, the Middle East & Africa, and Latin America. The area of North America is anticipated to dominate the market for the usage of Supply Chain Analytics, followed by those in Asia-Pacific and Europe.

Supply Chain Analytics North America Market

The North American region holds a dominant position in the Supply Chain Analytics market. North America dominated the global market in 2022 with over 35% of the market share. Due to the complexity of corporate processes, industrial organizations in North America are focusing more on the visual display of operational data, which helps them make better strategic decisions by allowing them to quickly assess the data-driven state of their supply chain.

Supply Chain Analytics Asia Pacific Market

The Asia-Pacific region is witnessing rapid growth and emerging as a significant market for the Supply Chain Analytics industry. The Asia-Pacific Supply Chain Analytics Market is expected to grow at the fastest CAGR from 2023 to 2032. The rise might be attributed to organizations getting more aware of the advantages of analytics solutions. The expansion of the regional supply chain analytics market may also be influenced by the steadily rising number of small and medium-sized businesses (SMBs) and their rising spending on the deployment of cutting-edge technology to expand their businesses

Competitive Landscape

The competitive landscape includes key players (tier 1, tier 2, and local) having a presence across the globe. Companies such as Oracle, SAP, IBM, SAS Institute, and Microstrategy are some of the leading players in the global Supply Chain Analytics Industry. These players have adopted partnership, acquisition, expansion, and new product development, among others as their key strategies.

Key Market Players:

• Oracle
• SAP
• IBM
• SAS Institute
• Microstrategy
• Tableau
• Qlik
• Infor Inc
• Kinaxis Inc.
• Manhattan Associates

Key Development:

In September 2022, IBM launched its IBM Supply Chain Insights, a new platform powered by AI and machine learning, aimed at enhancing supply chain visibility, resilience, and efficiency by providing real-time insights and predictive analytics.

Scope of the Report

Global Supply Chain Analytics Market, by Component

• Demand Analysis and Forecasting
• Software
• Supplier Performance Analytics
• Spend and Procurement Analytics
• Inventory Analytics
• Others

 Global Supply Chain Analytics Market, by Enterprise Size

• Large Enterprises
• Small & Medium Enterprises (SMEs)

 Global Supply Chain Analytics Market, by Deployment

• On-premise
• Cloud

 Global Supply Chain Analytics Market, by Industry Vertical

• Automotive
• Food & Beverages
• Healthcare & Pharmaceuticals
• Manufacturing
• Retail & Consumer Goods
• Others

 Global Supply Chain Analytics Market, by Region

• North America
  • US
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • South Korea
  • Indonesia
  • Austalia
  • Malaysia
  • India
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Egypt
  • South Africa
  • Rest of Middle East & Africa

 

Parameters	Indicators
Market Size	2033: $33.54 Billion
CAGR	17.14% CAGR (2023-2033)
Base year	2022
Forecast Period	2023-2033
Historical Data	2021
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Key Segmentations	Component, Enterprise Size, Deployment, Industry Vertical
Geographies Covered	North America, Europe, Asia-Pacific, Latin America, Middle East, Africa
Key Vendors	Oracle, SAP, IBM, SAS Institute, Microstrategy, Tableau, Qlik, Infor Inc, Kinaxis Inc., Manhattan Associates
Key Market Opportunities	Growth in awareness regarding benefits of supply chain analytics
Key Market Drivers	Supporting initiatives by Transportation & Logistics for Big Data projects Increase in adoption of Big Data technologies

 

REPORT CONTENT BRIEF:

• High-level analysis of the current and future Supply Chain Analytics Industry trends and opportunities
• Detailed analysis of current market drivers, restraining factors, and opportunities analysis in the future
• Historical market size for the year 2021, and forecast from 2023 to 2033
• Supply Chain Analytics market share analysis for each segment
• Competitor analysis with a comprehensive insight into its product segment, financial strength, and strategies adopted.
• Identifies key strategies adopted by the key players including new product development, mergers and acquisitions, joint ventures, collaborations, and partnerships.
• To identify and understand the various factors involved in the global Supply Chain Analytics market affected by the pandemic
• To provide year-on-year growth from 2022 to 2033
• To provide short-term, long-term, and overall CAGR comparison from 2022 to 2033.

Provide Total Addressable Market (TAM) for the Global Supply Chain Analytics Market