Supply Chain Visibility Software Market Size & Share 2026 - 2035
Market Size by Component, by Deployment Mode, by Enterprise Size, by Application, by End Use, Growth Forecast.
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Market Size by Component, by Deployment Mode, by Enterprise Size, by Application, by End Use, Growth Forecast.
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Starting at: $2,450
Base Year: 2025
Companies Profiled: 25
Tables & Figures: 150
Countries Covered: 27
Pages: 225
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Supply Chain Visibility Software Market
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Supply Chain Visibility Software Market Size
The global supply chain visibility software market size was estimated at USD 3.3 billion in 2025. The market is expected to grow from USD 3.5 billion in 2026 to USD 10.9 billion in 2034, at a CAGR of 13.4%, according to latest report published by Global Market Insights Inc.
Supply Chain Visibility Software Market Key Takeaways
Market Size & Growth
Regional Dominance
Key Market Drivers
Challenges
Opportunity
Key Players
Digital transformation is driving the adoption of supply chain visibility software as companies shift from manual tracking to cloud-native platforms. Disruptions like COVID-19, geopolitical tensions, and climate events have accelerated this transition, exposing weaknesses in traditional supply chains.
Artificial intelligence, machine learning, and IoT sensors are transforming supply chain visibility into predictive intelligence. AI platforms enable demand forecasting, anomaly detection, and route optimization, while IoT sensors provide real-time data on critical conditions. Blockchain and edge computing further enhances traceability and compliance.
Organizations are increasingly adopting supply chain visibility and traceability solutions, driven by stricter regulatory requirements. Key regulations fueling this trend include the EU's corporate sustainability due diligence directive (CSDDD), the FDA's food safety modernization act section 204 (FSMA 204), the EU's deforestation regulation (EUDR), and the Uyghur forced labor prevention act (UFLPA).
Expanding regulatory mandates in areas like food safety, deforestation, and corporate due diligence are driving demand for visibility solutions. The EU Deforestation Regulation enforces penalties of up to 4% of annual EU turnover for non-compliance, pushing organizations to adopt event-based tracking and integrate carbon accounting with supplier data collection.
In 2024, North America dominated the supply chain visibility software market, driven by the US's adoption of advanced digital tools for real-time shipment tracking, strong logistics infrastructure, and a thriving e-commerce sector.
The Asia-Pacific region, led by China, India, Japan, and Southeast Asia, is experiencing rapid growth. China focuses on tech-driven supply chains, India leverages visibility tools for its logistics and e-commerce boom, while Japan and Southeast Asia aim to enhance efficiency and resilience.
Supply Chain Visibility Software Market Trends
Supply chain visibility has advanced from reactive tracking to predictive intelligence and autonomous decision-making. Modern platforms use AI and analytics to anticipate disruptions, recommend actions, and execute responses automatically.
AI adoption is transforming supply chains, with 59% of leaders using AI and 98% finding it effective. AI platforms analyze data like weather, geopolitical events, and social media to predict ETAs, detect anomalies, and identify risks across supplier networks.
Regulatory mandates are accelerating multi-tier visibility adoption. The EU's Corporate Sustainability Due Diligence Directive and the Uyghur Forced Labor Prevention Act require companies to ensure compliance with human rights, environmental standards, and provenance tracking across value chains.
Technology enablers like supplier network mapping platforms, blockchain-based provenance tracking, and collaborative data-sharing networks drive multi-tier visibility. For example, Infor Nexus connects over 94,000 organizations, enabling ecosystem-wide transparency across suppliers, manufacturers, brokers, 3PLs, and banks.
The adoption of IoT sensors, edge computing, and digital twin technologies provide real-time visibility into supply chain operations. These devices monitor critical conditions like location, temperature, and humidity, ensuring effective management of perishable goods and sensitive products.
Edge computing minimizes latency and bandwidth issues by processing data near its source, enabling real-time decisions. It is crucial for autonomous vehicles, warehouse robotics, and time-sensitive transportation tasks.
Digital twins, virtual replicas of physical supply chain assets and processes, enable scenario simulation, what-if analysis, and optimization. Organizations use them to model factory performance, test network configurations, and prepare for disruptions.
Blockchain and distributed ledger technologies are being adopted for applications requiring immutable records, multi-party trust, and provenance verification. Blockchain ensures a tamper-proof audit trail, enabling product authentication and custody tracking without central authority.
Supply Chain Visibility Software Market Analysis
Based on component, the supply chain visibility software market is segmented into software and services. The software segment dominates the market with 70% share in 2025, and the segment is expected to grow at a CAGR of 12.8% from 2026 to 2035.
Based on deployment mode, the supply chain visibility software market is segmented into on-premised and cloud-based. The cloud-based segment dominated the market, accounting for around 57% share in 2025 and is expected to grow at a CAGR of 14.1% from 2026 to 2035.
Based on enterprise size, the supply chain visibility software market is segmented into large enterprises and SMEs. The large enterprises segment dominated the market, accounting for around 56% share in 2025 and is expected to grow at a CAGR of 12.6% from 2026 to 2035.
Based on application, the supply chain visibility software market is segmented into order management, asset tracking, inventory management, shipment tracking, supply chain planning and others. The shipment tracking segment is projected to dominate the market and is expected to grow at a CAGR of 11.7% from 2026 to 2035.
The US supply chain visibility software market is expected to experience significant and promising growth from 2026 to 2035.
North America dominated the supply chain visibility software market with a market share of 39% in 2025.
China is fastest growing country in Asia Pacific supply chain visibility software market growing with a CAGR of 13.8% from 2026 to 2035.
Asia Pacific region dominated the supply chain visibility software market, which is anticipated to grow at a CAGR of 15.7% during the analysis timeframe.
Germany dominates the Europe supply chain visibility software market, showcasing strong growth potential, with a CAGR of 11.1% from 2026 to 2035.
Europe supply chain visibility software market accounted for USD 900 million in 2025 and is anticipated to show growth of 12.8% CAGR over the forecast period.
Brazil leads the Latin American supply chain visibility software market, exhibiting remarkable growth of 13.9% during the forecast period of 2026 to 2035.
Saudi Arabia to experience substantial growth in the Middle East and Africa supply chain visibility software market in 2025.
Supply Chain Visibility Software Market Share
The top 7 companies in the supply chain visibility software industry are SAP, Oracle, IBM, Blue Yonder, Descartes Systems, Infor, and Manhattan Associates contributed around 36% of the market in 2025.
Supply Chain Visibility Software Market Companies
Major players operating in the supply chain visibility software industry are:
10% Market Share
Collective market share in 2025 is 34%
Supply Chain Visibility Software Industry News
The supply chain visibility software market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Mn) from 2022 to 2035, for the following segments:
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Market, By Component
Market, By Deployment Mode
Market, By Enterprise Size
Market, By Application
Market, By End Use
The above information is 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 →