Supply Chain Analytics Market Size & Share 2023 to 2032
Market Size by Component (Solution, Service), by Application (Retail, Manufacturing, Transportation & Logistics, Healthcare, Government & Defense, Automotive, Energy & Utilities), Organization Size, Deployment Size & Forecast.
Report ID: GMI2024
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Published Date: January 2023
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Supply Chain Analytics Market Size
Supply Chain Analytics Market size crossed USD 6 billion in 2022 and is anticipated to exhibit a 15% CAGR from 2023 to 2032.
Supply Chain Analytics Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
The swiftly expanding e-commerce sector, particularly across developing countries such as India and China is expected to offer lucrative business prospects for the market. As per the 2022 Global Payments Report by FIS, the e-commerce business in India is estimated to witness 96% growth between 2021 and 2025, surpassing USD 120 billion in transaction value. Rapid urbanization, increasing disposable income, along with the widespread penetration of smartphones and the internet are accelerating the rise in e-commerce activities. Furthermore, the increasing preference for online shopping is compelling the need for a robust supply chain for on-time deliveries.
Rising data security concerns may hamper the industry outlook
The mount in privacy concerns and data security issues may impede the adoption of supply chain analytics to some extent. The rising dependence on big data analytics has also led to a surge in the number of sophisticated privacy breaches, negatively influencing the supply chain analytics market dynamics. Therefore, organizations are turning to data masking solutions to prevent breaching incidents and protect customer identities. However, the growing integration of technologies such as IoT and AI for superior software features and enhanced security will complement the market.
Supply Chain Analytics Market Analysis
The supply chain analytics market from retail applications segment is predicted to register over 15% CAGR till 2032. The retail sector is undergoing significant transformation with the integration of technologies, such as IoT and AI. The rise in digital shopping and automation of retail operations will proliferate the demand for supply chain analytics solutions and services. The increasing population, urbanization, and digitization are also contributing to the upsurge in retail business across developed and developing countries.
The market share from the government & defense application segment will witness lucrative expansion during the projected timeline. Big data analytics is gaining substantial demand across government and defense applications, such as the management of multi-tiered supply chains and global supplier networks. Sophisticated supply chain analytics solutions are experiencing high demand due to the growing need for enhanced visibility, cost-saving, and spend aggregation across different operational setups.
The solutions segment held more than 60% share of the supply chain analytics market in 2022. The ongoing digital transformation of the industrial sector is fostering a substantial need for cloud-based analytical solutions. Supply chain analytics solutions are gaining momentum for their actionable intelligence for enabling demand planning, inventory management, and route optimization. The growing need for real-time visibility across the supply chain for mitigating risks, preventing stockouts, and reducing procurement spending will fuel the market growth.
Supply chain analytics solutions further include manufacturing analytics, procurement analytics, logistics analytics, demand planning, inventory analytics, and others. The demand for manufacturing analytics is projected to pick significant pace with the rapid transition to cloud and IoT driven by the ingress of Industry 4.0. The emergence of disruptive technologies, such as edge computing, big data, and predictive analytics will also provide enterprises with actionable insights.
Supply chain analytics market size from large enterprises segment will expand at 15% CAGR during the forecast timeline. Large enterprises often invest large amounts of money into resources and infrastructure due to robust capital backing and high output requirements. The increasing demand for high workflow efficiencies is forcing organizations to reinforce their supply chain infrastructures for ensuring a streamlined and uninterrupted supply of inventory. Furthermore, supply chain analytics solutions allow businesses to maximize productivity and avoid delays in production, and distribution losses. Several industry players are therefore introducing innovative solutions featuring multi-functional capabilities. For instance, in November 2022, Microsoft Corp. launched the Microsoft Supply Chain Platform for users to optimize their supply chain data estate investment safely.
Asia Pacific supply chain analytics market share is expected to grow at 20% CAGR through 2032, owing to the rapid influx of small and medium-sized enterprises (SME). Several countries in the region, such as China and India are creating a promising environment for SME with favorable incentives and hefty funding, further allowing the adoption of modern technologies. For instance, in November 2022, Self-Reliant India Fund (SRIF), backed by the Indian government announced that it has earmarked more than USD 614 million for the growth and development of small businesses. Similar investments encouraging businesses and enterprises to procure the latest technologies for improved output will favour the market expansion across APAC.
Supply Chain Analytics Market Share
Some of the leading companies in the global supply chain analytics market include
These companies are launching more advanced and innovative products to attract customers and strengthen their business identity. For instance, in November 2022, 3SC Solutions launched SCAI, an intelligent platform allowing businesses to better manage their supply chains through improved efficient planning and execution.
Impact of the COVID-19 pandemic
The COVID-19 pandemic increased the focus on technological interventions for strengthening the global supply chain. Due to heavy disruptions in global trade and supply-to-demand ratios, businesses worldwide turned to machine learning, real-time analysis, and algorithms for a steady recovery in the post-pandemic era. According to the 2022 Global State of Enterprise Analytics Report by MicroStrategy, 65% of global enterprises ramped up their spending on analytics in 2020 and implemented digitization initiatives. The growing emphasis on predictive analytics capabilities and cloud-based solutions will also complement the industry dynamics in the forthcoming period.
This supply chain analytics market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032, for the following segments:
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Market, By component
Market, By Organization size
Market, By Deployment model
Market, By Application
The above information has been provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →