공급망 최적화용 양자 소프트웨어 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the quantum software for supply chain optimization market size was USD 0.41 billion in 2025, USD 0.52 billion in 2026, and is forecast to reach USD 2.17 billion by 2031 at a CAGR of 33.07% over 2026-2031.

This report is Segmented by Solution (Software, and Services), Deployment (Cloud-Based, Hybrid, and On-Premises), Application (Transportation and Route Optimization, Inventory Optimization, Production Planning and Scheduling, and More), End User (Industrial Manufacturing, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Quantum Software For Supply Chain Optimization Market Trends and Insights

Rising Demand for Complex Network Optimization In Logistics

The quantum software for supply chain optimization market is gaining from the fact that modern logistics networks now involve very large delivery maps, mixed fleets, strict time windows, and real-time disruption triggers. These conditions create a problem scale that often pushes classical solvers outside practical planning windows, especially when enterprises need frequent reruns under changing operating conditions. A 2025 peer-reviewed study documented fuel consumption reductions of 12% and delivery time improvements of 18% from quantum-assisted route optimization, providing buyers a clear operational benchmark rather than a theoretical promise. Research published in 2026 also showed that a hybrid quantum tabu-search approach outperformed comparable classical heuristics across vehicle routing benchmarks with dense constraints. The practical effect is that companies with denser stop patterns and tighter planning windows can see value sooner than operators that only manage simple route structures. Fraunhofer SCS is also advancing NISQ-compatible scheduling and forecasting work for logistics, production, and retail, which supports a near-term path from research programs to commercial adoption in the quantum software for supply chain optimization market.

Faster ROI from Hybrid Quantum-Classical Workflows in High Variability Planning

The quantum software for supply chain optimization market is also advancing rapidly, as hybrid quantum-classical workflows deliver value before fully fault-tolerant machines are available. This shortens the payback discussion for finance teams that had previously viewed quantum computing as a very long-term commitment with limited near-term business use. BASF and D-Wave reported in November 2025 that a hybrid application reduced production scheduling time from 10 hours to 5 seconds, while cutting scheduling lateness by 14%, setup times by 9%, and tank unloading duration by up to 18%. A February 2026 study by NTT Data Germany and NTT Research showed that hybrid QUBO formulations could jointly optimize cost, emissions, and delivery time across Airbus logistics constraints on IonQ hardware. This matters because even modest gains in plan quality can yield meaningful savings when a manufacturer or logistics operator reruns the same planning cycle multiple times throughout the year. Research published in Logistics also pointed to faster integration of hybrid quantum optimization with ERP and APS systems between 2026 and 2032, which strengthens the medium-term commercial case for the quantum software market for supply chain optimization.

Limited Quantum Advantage for Many Real-World Supply Chain Problem Sizes

A core restraint on the quantum software for supply chain optimization market is that many real-world enterprise planning problems still exceed the practical capacity of near-term hardware when encoded directly. Supply chain networks often involve hundreds of nodes and thousands of constraints, and current NISQ systems still require decomposition before those problems can be handled in a workable form. A 2025 review noted that commercially available systems remain limited in scale for industrial vehicle routing and related optimization tasks when direct encoding is attempted. Fraunhofer SCS similarly describes current leading hardware as experimental for enterprise-scale supply chain problems, which keeps many deployments in the pilot stage rather than full production. This creates buyer fatigue because some companies fund pilots expecting immediate operational deployment, only to discover that substantial problem decomposition and redesign remain required. The result is a slower conversion from proof of concept to scaled rollout across the quantum software for supply chain optimization market.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud Delivery Lowers Trial Barriers for Enterprise Optimization Teams
2. Growing Need for Scenario-Rich Resilience Planning After Supply Chain Shocks
3. Scarcity of Quantum-Literate Optimization Talent And Implementation Partners

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software held 64.81% share in 2025, while services are projected to expand at a 36.42% CAGR through 2031. The software lead reflects stronger adoption of platform-based offerings such as algorithm libraries, QUBO tools, optimization engines, and connectors that sit closer to existing enterprise planning systems. Buyers often prefer these products at the start because a software license gives them a defined operating model, a clearer procurement path, and easier internal ownership than a fully open-ended consulting engagement. This keeps platform revenue high even when enterprises begin with a narrow pilot or one planning workflow rather than a broad supply chain rollout. At the same time, the quantum software for supply chain optimization market shows that software demand alone does not eliminate the need for implementation support.

Services is projected to grow at 36.42% because many enterprises still struggle to turn theoretical use cases into deployable planning tools. The strongest vendors increasingly combine proprietary software with integration, tuning, and workflow support, helping them capture a larger share of the account budget and creating switching costs through custom problem formulations. This is drawing both specialist providers and larger implementation firms into the same sales motion, especially where a buyer wants direct links into ERP, TMS, and APS environments. A 2025 review tied wider adoption barriers to the shortage of specialized professionals, which supports the idea that service demand will remain elevated even as software tools improve. Within the quantum software for supply chain optimization industry, the split between software leadership and faster service growth indicates a market that is commercializing but still needs hands-on operational support.

Cloud-based deployment held 71.24% share in 2025, while hybrid deployment is projected to grow at a 35.18% CAGR through 2031. Cloud leads because enterprises can reach quantum resources without paying for dedicated infrastructure, which is especially useful when optimization demand is uneven across the year. This structure also supports pilot programs, because buyers can pay for access during a test phase and expand later if the use case proves useful. The result is a faster path into the quantum software for supply chain optimization market for companies that want to evaluate multiple workflows before making a long-term architecture decision. It also favors platform providers that can make access simple through developer tools, APIs, and managed environments.

Hybrid deployment is growing faster because many enterprises still want classical workloads and sensitive data to remain close to internal systems while quantum processing is accessed externally. That mix is important in regulated industries, defense-adjacent operations, and sovereign-data environments where full cloud offloading is difficult. Research published in Logistics stated that hybrid solvers connected to ERP, WMS, and APS systems are expected to be the dominant deployment pattern through the medium term. On-premises deployment remains a small part of the quantum software for supply chain optimization market, but it still has a place in organizations with security, classification, or sovereignty restrictions. The broader direction is clear: cloud drives access today, while hybrid design appears more likely to anchor enterprise-scale operations over time.

Complete Report Scope:

• By Solution
  • Software
  • Services
• By Deployment
  • Cloud-Based
  • Hybrid
  • On-Premises
• By Application
  • Transportation and Route Optimization
  • Inventory Optimization
  • Production Planning and Scheduling
  • Supply Chain Network Design
  • Supply Chain Risk and Resilience Planning
• By End User
  • Industrial Manufacturing
  • Retail and E-Commerce
  • Transportation and Logistics
  • Energy and Utilities
  • Food and Beverage
  • IT and Telecom
  • Construction and Infrastructure
  • Aerospace and Defense
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Egypt
      • Rest of Africa

Geography Analysis

North America held 34.82% of the quantum software for supply chain optimization market share in 2025. The region leads because it combines enterprise buyer demand with the geographic concentration of major platform vendors, including IBM, D-Wave, IonQ, Google, AWS, and Microsoft. A 2025 review also noted the United States commitment of USD 675 million in annual quantum information science investment through 2028, which supports both research depth and ecosystem continuity. In May 2026, IBM and the U.S. Department of Commerce signed a Letter of Intent to establish Anderon, America's first purpose-built quantum wafer foundry, backed by a proposed USD 1 billion CHIPS Act award and USD 1 billion in IBM cash investment. Canada also adds depth through the IBM and Polytechnique Montreal initiative launched in November 2025 for AI and quantum-enabled forestry supply chain decision support, while Mexico is emerging as a demand pocket as nearshoring raises the complexity of manufacturing logistics across North American corridors.

Asia-Pacific is projected to record the fastest growth in the quantum software for supply chain optimization market, with a 36.93% CAGR through 2031. The region is supported by China's state-backed programs, Japan's government-industry efforts in automotive and semiconductor supply chains, and India's National Quantum Mission, which has allocated INR 6,000 crore (USD 718 million) for indigenous capability development. Dense electronics and industrial supply chains also help the regional outlook in South Korea and Southeast Asia, where route, inventory, and production optimization already matter at very high transaction volumes. In April 2026, Horizon Quantum Holdings in Singapore signed a strategic agreement with IonQ to purchase one of IonQ's first 6th-generation, chip-based 256-qubit trapped-ion systems, indicating deeper regional software and infrastructure readiness. China's work in quantum communications, including the Beijing-Shanghai quantum key distribution network highlighted in the 2025 review, also signals adjacent demand for secure and advanced digital supply chain environments.

Europe remains a credible third center in the quantum software for supply chain optimization market, supported by Germany's DLR Quantum Computing Initiative and the EU Quantum Flagship program. Germany's QuTeNet project is one visible example, with support for tensor-network optimization in maritime logistics through BearingPoint, Multiverse Computing, and Fraunhofer CML. The United Kingdom also strengthened its role in 2026 through the University of Cambridge's partnership with IonQ, described as the country's largest corporate quantum research collaboration. South America, the Middle East, and Africa remain earlier-stage regions where activity is still concentrated in pilots, research partnerships, and selective enterprise exploration rather than broad commercial adoption.

1. IBM Corporation
2. Microsoft Corporation
3. D-Wave Quantum Inc.
4. Quantinuum Ltd.
5. IonQ, Inc.
6. Amazon Web Services, Inc.
7. Google LLC
8. SAP SE
9. Oracle Corporation
10. Accenture plc
11. Atos SE
12. Fujitsu Limited
13. Classiq Technologies Ltd.
14. QC Ware Corp.
15. 1QBit
16. Xanadu Quantum Technologies Inc.
17. Rigetti Computing, Inc.
18. Pasqal SAS
19. Toshiba Digital Solutions Corporation
20. Multiverse Computing

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Demand For Complex Network Optimization In Logistics
  • 4.2.2 Faster ROI From Hybrid Quantum-Classical Workflows in High Variability Planning
  • 4.2.3 Cloud Delivery Lowers Trial Barriers for Enterprise Optimization Teams
  • 4.2.4 Growing Need for Scenario-Rich Resilience Planning after Supply Chain Shocks
  • 4.2.5 Integration with Existing ERP, TMS, and APS Stacks Accelerates Adoption
  • 4.2.6 Early Compliance and Sustainability Use Cases Expand Budget Justification
• 4.3 Market Restraints
  • 4.3.1 Limited Quantum Advantage for Many Real-World Supply Chain Problem Sizes
  • 4.3.2 Scarcity of Quantum-Literate Optimization Talent and Implementation Partners
  • 4.3.3 Data Quality and Model Formulation Gaps Weaken Production Deployment Outcomes
  • 4.3.4 Vendor Lock-In Concerns Across Proprietary Quantum Toolchains and Cloud Stacks
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Solution
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment
  • 5.2.1 Cloud-Based
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Application
  • 5.3.1 Transportation and Route Optimization
  • 5.3.2 Inventory Optimization
  • 5.3.3 Production Planning and Scheduling
  • 5.3.4 Supply Chain Network Design
  • 5.3.5 Supply Chain Risk and Resilience Planning
• 5.4 By End User
  • 5.4.1 Industrial Manufacturing
  • 5.4.2 Retail and E-Commerce
  • 5.4.3 Transportation and Logistics
  • 5.4.4 Energy and Utilities
  • 5.4.5 Food and Beverage
  • 5.4.6 IT and Telecom
  • 5.4.7 Construction and Infrastructure
  • 5.4.8 Aerospace and Defense
  • 5.4.9 Other End-user Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Russia
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Southeast Asia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Egypt
      • 5.5.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 IBM Corporation
  • 6.4.2 Microsoft Corporation
  • 6.4.3 D-Wave Quantum Inc.
  • 6.4.4 Quantinuum Ltd.
  • 6.4.5 IonQ, Inc.
  • 6.4.6 Amazon Web Services, Inc.
  • 6.4.7 Google LLC
  • 6.4.8 SAP SE
  • 6.4.9 Oracle Corporation
  • 6.4.10 Accenture plc
  • 6.4.11 Atos SE
  • 6.4.12 Fujitsu Limited
  • 6.4.13 Classiq Technologies Ltd.
  • 6.4.14 QC Ware Corp.
  • 6.4.15 1QBit
  • 6.4.16 Xanadu Quantum Technologies Inc.
  • 6.4.17 Rigetti Computing, Inc.
  • 6.4.18 Pasqal SAS
  • 6.4.19 Toshiba Digital Solutions Corporation
  • 6.4.20 Multiverse Computing

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment