Supply Chain Risk Management Software Market
Supply Chain Risk Management Software Market

Report ID: SQMIG45F2250

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Supply Chain Risk Management Software Market Size, Share, and Growth Analysis

Supply Chain Risk Management Software Market

Supply Chain Risk Management Software Market By Component (Software, Services), By Deployment Type (Cloud-based, On-premise), By Organization Size, By Risk Type, By End Use Industry, By Region - Industry Forecast 2026-2033


Report ID: SQMIG45F2250 | Region: Global | Published Date: January, 2025
Pages: 193 |Tables: 34 |Figures: 67

Format - word format excel data power point presentation

Supply Chain Risk Management Software Market Insights

Global Supply Chain Risk Management Software Market size was valued at USD 2.1 billion in 2024 and is poised to grow from USD 2.36 billion in 2025 to USD 5.97 billion by 2033, growing at a CAGR of 12.3% during the forecast period (2026-2033). 

The global supply chain risk management software market growth is driven by increasing customer expectations for faster, more reliable delivery, which eventually leads to improvement in supply chain risk management software efficiency by companies. The rising requirement for real-time tracking, on-demand shipping, and integrated logistics solutions power the easily developed supply chain management technologies (SCM) to satisfy both needs and apply fuel in the promotion of the market.

To minimize costs throughout the supply chain, enterprises move manufacturing operations to countries with lower labour taxes and transport costs for raw materials. For some organizations, outsourcing production involves multiple countries for different parts of their products. However, outsourcing and the company’s procurement network extend the production process globally. Choosing suppliers in different geographical locations complicates the supply chain. Businesses need to coordinate, communicate, and collaborate with cross-border parties about manufacturing, warehousing, and logistics. 

How Is AI Reshaping the Supply Chain Risk Management Software Market?

Artificial Intelligence (AI) is playing a transformative role in the supply chain risk management software outlook by enhancing operational efficiency, accuracy, and resilience. One of the most notable impacts of AI has been on demand forecasting and inventory management. Companies like Southern Glazer's Wine & Spirits have leveraged Amazon SageMaker to improve their sales forecasting capabilities by analyzing vast datasets, reducing the risk of stockouts and overstocks. AI also contributes significantly to logistics optimization.  

For example, DHL uses AI-driven systems to plan efficient delivery routes based on real-time traffic and weather data, cutting down on fuel costs and improving delivery timelines. 

Market snapshot - 2026-2033

Global Market Size

USD 18.76 Billion

Largest Segment

On-premises

Fastest Growth

Cloud-based

Growth Rate

10.4% CAGR

Global Supply Chain Risk Management Software Market ($ Bn)
Country Share for North America(%)

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Supply Chain Risk Management Software Market Segments Analysis

Global Supply Chain Risk Management Software Market is segmented by Component, Deployment Type, Organization Size, Risk Type, End Use Industry and region. Based on Component, the market is segmented into Software and Services. Based on Deployment Type, the market is segmented into Cloud-based and On-premise. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Risk Type, the market is segmented into Operational Risk, Financial Risk, Compliance Risk and Environmental & Geopolitical Risk. Based on End Use Industry, the market is segmented into Manufacturing, Retail & E-commerce, BFSI, Healthcare & Life Sciences and Energy & Utilities. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.  

What Makes the Inventory Management Segment the Leader in the Global Supply Chain Risk Management Software Market 

As per the supply chain risk management software market forecast, the best software for supply-chain risk management is inventory management software, which allows tracking of large numbers and serial numbers with immediate visibility on stock levels and replenishment per demand. This minimizes the risk of stock expiring, stockouts, or overstocks. With customer expectations and already fragile supply chains in mind, large manufacturers and retailers increased their investments in inventory-centric risk tools in 2024-25. This was done to prevent disruptions and consequent stock-out, by improving visibility across warehouses, cold chain monitoring, and inventory control across sites.

The fastest-growing sector is purchasing management software as firms can put spending analytics, contract visibility, and supplier risk at the forefront. Procurement teams will increasingly employ the suppliers-risk modules, data feeds from third-party sources, and automated or alternate sourcing workflows-from 2024 to 2025-to identify and address single-source exposure by applying different sourcing strategies and to expedite buying from contingency options. Therefore, investing in the tools was imperative for the active mitigation of risk.

How Do On-Premises Solutions Prioritize Data Security and Compliance in Supply Chain Management? 

As per the global supply chain risk management software market analysis, most of the established enterprises nowadays give a priority to data security, control, and compliance over any other consideration; given all this, on-premises solutions will continue to dominate the market. On-premises-type solutions allow organizations to customize and integrate the supply chain software with their ERP systems and legacy systems to ensure smooth operation with no reliance on external internet connectivity. Large corporations, which have a large amount of IT infrastructure and large teams dedicated to managing that infrastructure, typically prefer on-premises models to retain control over critical business processes and mitigate risks around data breaches or downtime.

As per global supply chain risk management software market outlook, the cloud-based segment is anticipated to have the highest supply chain risk management software market share in 2024. Cloud solutions are favored for their agility, scalability, and cost-effectiveness. They enable real-time data sharing and collaboration across multiple stakeholders, including suppliers, logistics providers, and retailers, which is critical in today’s fast-moving global supply chains.

Global Supply Chain Risk Management Software Market By Mode (%)

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Supply Chain Risk Management Software Market Regional Insights

What’s Driving the Supply Chain Management Market in North America? 

As per supply chain risk management software market regional forecast, considered one of the most developed and technologically advanced regions in the worldwide supply chain risk management software market, North America is characterized by the presence of leading technology providers, advanced infrastructure, and an innovation-focused environment. Demand for real-time supply chain visibility, improved agility, and resilience against global disruptions stemming from geopolitical tensions has accelerated the industry's acceptance of AI, machine learning, and cloud-based SCM solutions across all sectors.

U.S. Supply Chain Risk Management Software Market  

The United States is the top user in the North America supply chain market because it has embraced the highly adopted artificial intelligence technology, advanced analytics, and cloud-based SCM platforms. However, American companies have afforded priority for agility and visibility in the supply chain towards the best speed responsiveness to changing market demands and disruption. Increasingly, investments in cyber secure and data governance techniques are being warranted because of the numbers of cyber assaults happening. Demand forecasting, inventory optimization, last-mile delivery improvements, and restructuring of transport and logistics are the most adopted SCM solutions in the retail, manufacturing, and healthcare sectors. Digital infrastructure support from the US government for smart manufacturing initiatives presents further stimuli to growth in the supply chain risk management software market.

Canada Supply Chain Risk Management Software Market

The Canadian supply chain risk management software sector is flourishing with a steady pace, encouraging government programs to be oriented towards the digitalization of logistics and transportation infrastructure. It is turning Canadian businesses, including healthcare and natural resources, into using cloud-based SCM solutions to boost operational efficiency and supply chain transparency. The geographic scope and low population density in the country create unique supply chain issues; therefore, companies look for innovative technologies such as AI-led route optimization and real-time tracking.

What’s Fueling the Rapid Growth of Supply Chain Management in Asia-Pacific? 

As per regional outlook, Asia-Pacific is the fastest-growing region in the  supply chain risk management software market, driven by its rapidly expanding manufacturing base, rising e-commerce penetration, and significant government investments in infrastructure modernization. These nations within the region exploit the rise of urbanization along with an ever-increasing middle class that requires the demand for more effective, flexible and scalable supply chain systems. The importance of real-time sharing of information and end-to-end visibility management of complex cross-border supply chains gives even stronger motivation for AI-and cloud-based SCM adoption.

Japan Supply Chain Risk Management Software Market

Japan is the forerunner on advanced robotics and AI application with precision manufacturing technologies into supply chain management on the global sphere. Quality control, reliability, and efficiency are the emphasis of Japanese companies backed by substantial investments in their R&D and smart factory initiatives. Japan possesses logistics networks that are increasingly better sold off on mature supply chains and the government's strong propagation in digital transformation, such as Society 5.0. Japan's waste reduction and efficient resource utilizations coincide with the unspoken tenet of culturally ingrained continuous improvement (Kaizen) towards extremely efficient supply chain operations.

South Korea Supply Chain Risk Management Software Market

South Korea’s supply chain risk management software market is characterized by rapid technology adoption and innovation, especially in smart logistics and IoT connectivity. The country harnesses advanced telecommunications infrastructure and a technology-driven economy to interface AI SCM solutions with manufacturing, electronics, and e-commerce. South Korean companies utilize automation, predictive analytics, and real-time monitoring to improve supply chain responsiveness and minimize operational costs. Government initiatives to promote smart cities and digital supply chains give further impetus to the market potential.

How Is Europe Transforming Its Supply Chain Risk Management Software Landscape? 

The supply chain risk management software market regional forecast in Europe features sustainability and compliance in regulation and digital innovation. More European countries are adopting relevant Industry 4.0 technologies to enhance their supply chains through IoT, AI, robotics, and blockchain. Such technologies promise to increase the transparency of supply chains, mitigate the environmental aspects of supply chains, and enhance supply chains' resilience. Stricter regulations on data privacy, carbon emissions, and fair-trade practices cause companies to invest in developing very sophisticated SCM solutions.

Germany Supply Chain Risk Management Software Market

Industry 4.0 is at the core of Germany, Europe's industrial engine, and adopts an amalgamation of automation, AI, and data analytics to optimize supply chain operations in automotive, machinery, and chemical sectors for effectivity. Efficiency, precision, and sustainability have all gained a primary spot on the investment priorities of German companies in digital twins, predictive maintenance, and green logistics, while the quality of becoming a manufacturing powerhouse and a focus on regulatory compliance guarantee constant innovativeness in supply chain technology.

UK Supply Chain Risk Management Software Market

While the UK’s supply chain risk management software market regional outlook, is going through tremendous changes due to the recent changes in the trading environment post-Brexit, businesses are concentrating their efforts on increasing visibility, agility, and compliance in their supply chains to deal with these new customs regulations and cross-border intricacies. The UK government backs digital transformation programs aiming to improve logistics infrastructure and supply chain resilience. Risks are reduced, inventory is optimized, and demand forecasting is enhanced using SCM solutions built on AI, blockchain, and cloud technology. The investment from the financial services sector in the country is now also targeting supply chain fintech solutions for fast-tracking payments and contracts.

Italy  Supply Chain Risk Management Software Market

Italy’s  supply chain risk management software market focuses on modernizing logistics networks, particularly to support its large number of small and medium enterprises (SMEs). Investments in AI and cloud-based SCM solutions aim to improve inventory management; demand forecasting; and efficiency in transportation processes. Italy also embraces sustainability in terms of green logistics initiatives for improving supply chain transparency.

Global Supply Chain Risk Management Software Market By Geography
  • Largest
  • Fastest

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Supply Chain Risk Management Software Market Dynamics

Supply Chain Risk Management Software Market Drivers

Enhanced Forecasting and Demand Planning 

  • As more accurate predictions are possible on supply chains and demand planning because of AI's ability to analyze vast historical and real-time datasets. It also considers external factors such as supply chain risk management software market trends, seasonality, and social media sentiment, even forecasts about the weather, to provide predictive insights. Walmart and Amazon, for example, have developed AI-based systems for forecasting consumer demand to optimally determine stock levels and minimize shortages and excess inventory. These have helped in drastically bringing down average holding costs while improving service levels.

Operational Efficiency through Automation 

  • AI is fast approaching the roads that never existed and on robots in warehouses, extending its intelligence to smart transport systems; hear it now. Automation is the newly defined art for reducing human error in processes, cutting down processing times, and increasing scalability. Robotics that operates on an AI platform-e.g., Ocado and Amazon Robotics-are now employed at the task of picking, packing, and inventory scanning, allowing operations to be faster and more precise in execution. Adding to this reasoning, route optimization algorithms allow the reduction of costs from fuel consumption and delivery delays, resulting in highly optimized efficiency and cost effectiveness in operations.

Supply Chain Risk Management Software Market Restraints

High Implementation Costs and Complexity 

  • However, the integration of such AI into already existing supply chain systems is very complicated and comes with an investment penalty. Most of small and medium enterprises do not have the necessary capital required for the infrastructure, training, and operational costs surrounding AI. Often, poorly designed legacy ERP systems complicate the sophistication of AI technologies, as they act as disadvantages for ensuring seamless interoperability to cater for future needs. Those obstacles in cost and tech integration reduce further the adoption rates in most resource-constrained or traditional companies.

Data Quality and Security Concerns 

  • The one thing AIs really depend on when they want to give out their best service is data. So, an absence of standardization in the data collected across systems will lead to poor quality, hence producing wrong predictions and bad decisions. Besides, given that supply chains involve several partners from different geographical regions and sectors, data privacy and cybersecurity gain paramount importance. Breaching or abusing sensitive supply chain data can cause loss of finances and reputation, further impeding the deployment of AI on a functional scale.

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Supply Chain Risk Management Software Market Competitive Landscape

The competitive landscape of the AI in global supply chain risk management software industry in 2024 is marked by strategic partnerships, AI-driven platform enhancements, and targeted solutions tailored to improve agility, visibility, and efficiency across global supply chains. Investments are being made by almost all technology firms, logistics firms, and supply-chain solution providers to increase their capabilities in AI, but these companies are going all out to make themselves rare in the eyes of customers.

As per supply chain risk management software market strategies, in 2024, Microsoft launched a significant update to its Dynamics 365 Supply Chain Management platform, embedding Copilot, a generative AI assistant, which helps companies analyze disruptions, predict delays, and recommend proactive measures. This moves enhanced Microsoft's position as a key innovator in enterprise AI and added a competitive edge in predictive and prescriptive analytics within supply chains. 

  • Keelvar (Founded: 2019, Ireland): Keelvar provides solutions that are primarily AI-based, and the company has initiated automation to develop better procurement and sourcing strategies." The company has developed AI-driven sourcing bots that automate procurement activities in logistics, direct materials, and indirect spend for large enterprises. Keelvar's 2024 saw the scaling up of partnerships with the Fortune 500 to roll out advanced new tools endowed with AI capabilities that lessen manual intervention and streamline supplier negotiations. The platform is indeed credited for real-time scenario analysis and decision support for complex sourcing events. Keelvar's mission is to change procurement from an operational function to a strategic function by eliminating redundancies and making the response time tighter through autonomous sourcing solutions.
  • Optimal Dynamics (Founded: 2020, United States): To optimize freight logistics and trucking operations using advanced AI decision engines. Optimal Dynamics harnesses the power of more than 30 years of research from Princeton University. Their proprietary AI engine, CORE.ai, allows real-time shipment planning, routing, and dispatching decisions. In 2024, the company clinched a massive contract with a US-based logistics company for deploying its AI across thousands of trucks, thereby dramatically enhancing the empty miles and fleet utilization optimization for the logistics firm. Database startup Neon was acquired by Databricks at a deal of nearly $1 billion in May 2025-the startup specializes in AI-enabled post-Gres database provisioning for cloud-native database infrastructure, which is heavily employed by AI agents. The deal has been done to augment Databricks' platform for businesses that want to enable their creation of AI agents. 

Top Player’s Company Profile

  • SAP SE 
  • Oracle Corporation 
  • IBM 
  • JDA Software (Blue Yonder) 
  • Manhattan Associates 
  • Infor 
  • Riskmethods 
  • Resilinc 
  • Achilles 
  • Interos 
  • LLamasoft (Coupa Software) 
  • Kinaxis 
  • E2open 
  • LogicManager 
  • MetricStream 
  • Vizibl 
  • Everstream Analytics 
  • EcoVadis 
  • Supply Wisdom 
  • Fusion Risk Management 

Recent Developments in Supply Chain Risk Management Software Market

  • In May 2025, Databricks announced its acquisition of database startup Neon for approximately $1 billion. Neon specializes in AI-driven Postgres database provisioning, providing cloud-native database infrastructure predominantly used by AI agents. This acquisition aims to enhance Databricks' platform for businesses developing AI agents. 
  • In February 2024, Blue Yonder, the worldwide leader in digital supply chain solutions, acquired flexis AG, a German developer of manufacturing and supply chain planning technologies. This strategic acquisition provided an enhancement to Blue Yonder in order to make sounder technologies of manufacturing planning and scheduling, thereby making the firm capable of providing more accurate offerings of AI and machine learning technologies-powered automated tools for planning.
  • In August 2024, Blue Yonder's acquisition of One Network Enterprises for $839 million in a strategic endeavor to optimize AI-powered and real-time supply chain networks is a major development for the company. One Network specializes in real-time supply chain network capabilities. In this acquisition, Blue Yonder enabled the creation of modern AI-backed visibility, demand sensing, and real-time collaboration technologies to put businesses in a better position on multi-enterprise supply chains and strengthen the company further.

Supply Chain Risk Management Software Key Market Trends

Supply Chain Risk Management Software Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.

As per SkyQuest analysis, key trends driving supply chain risk management software market growth include growing adoption, of AI and advanced analytics. The growth of the  supply chain risk management software market can be attributed to the rising demand and increased awareness of the benefits of SCM solutions, such as transportation management systems, planning & analytics, forecasting accuracy, warehouse & inventory management, supply chain optimization, procurement & sourcing, waste minimization, manufacturing execution and relevant synthesis of business data. Shortage of professionals with expertise in advanced SCM technologies hampers effective implementation and utilization. With the advent of e-commerce, firms have started selling their products online, which has helped reach a larger audience than ever before. This trend also increased competition among companies trying to win customers’ cores by providing them with better products and services at affordable prices.

Report Metric Details
Market size value in 2024 USD 2.1 billion
Market size value in 2033 USD 5.97 billion
Growth Rate 12.3%
Base year 2024
Forecast period 2026-2033
Forecast Unit (Value) USD Billion
Segments covered
  • Component
    • Software
    • Services
  • Deployment Type
    • Cloud-based
    • On-premise
  • Organization Size
    • Large Enterprises
    • Small & Medium Enterprises
  • Risk Type
    • Operational Risk
    • Financial Risk
    • Compliance Risk
    • Environmental & Geopolitical Risk
  • End Use Industry
    • Manufacturing
    • Retail & E-commerce
    • BFSI
    • Healthcare & Life Sciences
    • Energy & Utilities
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • SAP SE 
  • Oracle Corporation 
  • IBM 
  • JDA Software (Blue Yonder) 
  • Manhattan Associates 
  • Infor 
  • Riskmethods 
  • Resilinc 
  • Achilles 
  • Interos 
  • LLamasoft (Coupa Software) 
  • Kinaxis 
  • E2open 
  • LogicManager 
  • MetricStream 
  • Vizibl 
  • Everstream Analytics 
  • EcoVadis 
  • Supply Wisdom 
  • Fusion Risk Management 
Customization scope

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Supply Chain Risk Management Software Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Supply Chain Risk Management Software Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Supply Chain Risk Management Software Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Supply Chain Risk Management Software Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Supply Chain Risk Management Software Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Supply Chain Risk Management Software Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Global Supply Chain Risk Management Software Market size was valued at USD 18.76 Billion in 2023 and is poised to grow from USD 19.55 Billion in 2024 to USD 20.91 Billion by 2032, at a CAGR of 10.4% over the forecast period (2025–2032).

The competitive landscape of the AI in global supply chain risk management software industry in 2024 is marked by strategic partnerships, AI-driven platform enhancements, and targeted solutions tailored to improve agility, visibility, and efficiency across global supply chains. Investments are being made by almost all technology firms, logistics firms, and supply-chain solution providers to increase their capabilities in AI, but these companies are going all out to make themselves rare in the eyes of customers. 'Databricks ', 'Blue Yonder ', 'SAP SE ', 'IBM Corporation ', 'Oracle Corporation ', 'Kinaxis Inc. ', 'Manhattan Associates ', 'Infor ', 'Optimal Dynamics ', 'Coupa Software ', 'Llamasoft ', 'JDA Software (now Blue Yonder) ', 'Logility'

As more accurate predictions are possible on supply chains and demand planning because of AI's ability to analyze vast historical and real-time datasets. It also considers external factors such as supply chain risk management software market trends, seasonality, and social media sentiment, even forecasts about the weather, to provide predictive insights. Walmart and Amazon, for example, have developed AI-based systems for forecasting consumer demand to optimally determine stock levels and minimize shortages and excess inventory. These have helped in drastically bringing down average holding costs while improving service levels.

Rise of AI-Powered Control Towers:  A growing trend is the deployment of AI-enabled “control towers” that provide end-to-end visibility across the entire supply chain. These systems leverage AI to gather and analyze real-time data from suppliers, distributors, logistics partners, and retailers to identify potential disruptions and offer prescriptive solutions. Another trend, Cloud-based Supply chain control tower platforms headed by IBM and Oracle would assist responding and acting efficiently within the complex statutory Global Supply Networks.

What’s Driving the Supply Chain Management Market in North America? 

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JTI3x.webp
Khidi3x.webp
METHOD.3x.webp
Missul E&S3x.webp
MITSUBISHI3x.webp
MIZUHO3x.webp
NEC3x.webp
Nippon steel3x.webp
NOVARTIS3x.webp
Nttdata3x.webp
OSSTEM3x.webp
PALL3x.webp
Panasonic3x.webp
RECKITT3x.webp
Rohm3x.webp
RR KABEL3x.webp
SAMSUNG ELECTRONICS3x.webp
SEKISUI3x.webp
Sensata3x.webp
SENSEAIR3x.webp
Soft Bank Group3x.webp
SYSMEX3x.webp
TERUMO3x.webp
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UNDP3x.webp
Unilever3x.webp
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