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Vendor Risk Management Software Market is expected to generate a revenue of USD 9.22 Billion by 2031, Driven by a 14.73% CAGR: Market Research Intellect

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The growth of the Vendor Risk Management Software market is driven by several key factors. Firstly, the increasing complexity of supply chains and the rising number of third-party vendors have heightened the need for robust risk management solutions. Companies are increasingly recognizing the importance of assessing and mitigating risks associated with vendors to avoid potential disruptions, data breaches, and regulatory non-compliance. Secondly, the growing emphasis on regulatory compliance across various industries is propelling the demand for vendor risk management software. Organizations are under pressure to adhere to stringent regulations, and these tools help ensure that vendor activities align with compliance requirements. Additionally, the rapid adoption of cloud-based solutions and advancements in artificial intelligence and machine learning are enhancing the capabilities of vendor risk management software, making it more efficient and effective in identifying and managing risks.

LEWES, Del., Sept. 10, 2024 /PRNewswire/ — The Vendor Risk Management Software Market Size was valued at USD 7.99 Billion in 2023 and is expected to reach USD 9.22 Billion by 2031, growing at a 14.73% CAGR from 2024 to 2031. The report comprises of various segments as well an analysis of the trends and factors that are playing a substantial role in the market.

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202 – Pages
126 – Tables
37 – Figures

Scope Of The Report

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2020-2031

BASE YEAR

2023

FORECAST PERIOD

2024-2031

HISTORICAL PERIOD

2020-2023

UNIT

Value (USD Billion)

KEY COMPANIES PROFILED

MetricStream, Bitsight, SecurityScorecard, SAI Global, LogicGate, DueDil, Intelex Technologies, IBM, LockPath, Genpact, Resolver

SEGMENTS COVERED

By Type, By Application And By Geography

CUSTOMIZATION SCOPE

Free report customization (equivalent to up to 4 analyst working days) with purchase. Addition or alteration to country, regional & segment scope

Vendor Risk Management Software Market Overview

Market Definition and Scope
The Vendor Risk Management (VRM) Software market encompasses solutions designed to help organizations assess, monitor, and mitigate risks associated with third-party vendors. These tools are essential for ensuring that vendors comply with legal, security, and operational standards, thus protecting companies from potential breaches, disruptions, or regulatory penalties. VRM software typically includes features such as risk assessment, audit management, compliance tracking, and real-time monitoring. The market is expanding as businesses increasingly rely on external vendors for critical operations, necessitating comprehensive risk management strategies. The scope of this market extends across various industries, including BFSI, healthcare, IT, telecom, and manufacturing, where vendor relationships are integral to operational success.

Market Drivers
The growth of the Vendor Risk Management Software market is propelled by several key drivers. The increasing complexity of global supply chains and the reliance on third-party vendors have made risk management a critical concern for businesses. Regulatory requirements, such as GDPR, SOX, and HIPAA, mandate strict oversight of vendor activities, further boosting the demand for VRM solutions. Additionally, the rising incidence of cyber threats and data breaches has heightened the need for proactive risk management tools to safeguard sensitive information. The integration of advanced technologies like artificial intelligence and machine learning into VRM software is also driving market growth by enhancing the accuracy and efficiency of risk assessments.

Challenges in the Market
Despite its growth, the Vendor Risk Management Software market faces several challenges. One significant hurdle is the high cost of implementing and maintaining these solutions, which can be a barrier for small and medium-sized enterprises (SMEs). Additionally, the complexity of integrating VRM software with existing IT infrastructure can pose difficulties, particularly for organizations with legacy systems. The rapidly changing regulatory landscape also presents a challenge, as companies must continuously update their risk management processes to remain compliant. Furthermore, there is often a lack of standardization in vendor risk management practices, leading to inconsistencies in how risks are assessed and managed across industries.

Technological Advancements
Technological advancements are playing a crucial role in the evolution of the Vendor Risk Management Software market. The integration of artificial intelligence (AI) and machine learning (ML) has significantly improved the capabilities of VRM tools, enabling more accurate and predictive risk assessments. AI-driven analytics can identify potential risks in real-time, allowing organizations to take proactive measures. Additionally, cloud-based VRM solutions are gaining popularity due to their scalability, flexibility, and cost-effectiveness, making them accessible to businesses of all sizes. Other innovations include blockchain technology for enhanced transparency and security, and automated workflows that streamline risk management processes, reducing the manual effort required.

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Market Segmentation
The Vendor Risk Management Software market is segmented by Type, Application, and Geography. By Type, the market is divided into cloud-based and on-premises solutions, each catering to different organizational needs and preferences. By Application, the market serves various industries such as BFSI, healthcare, IT & telecom, and manufacturing, reflecting the widespread need for VRM solutions across sectors. Geographically, the market is analyzed across regions including North America, Europe, Asia-Pacific, and the rest of the world. This segmentation allows for a detailed understanding of market dynamics, enabling stakeholders to identify key growth areas and tailor their strategies accordingly.

Geographic Dominance
North America holds a dominant position in the Vendor Risk Management Software market, driven by a combination of technological innovation, stringent regulatory requirements, and a high level of cybersecurity awareness. The U.S. leads in terms of market share, with many key players headquartered in the country and a strong emphasis on vendor compliance due to laws like SOX and HIPAA. Europe follows closely, propelled by GDPR and other data protection regulations. Meanwhile, Asia-Pacific is emerging as a fast-growing market, with increasing digitalization and regulatory focus on vendor risk management. The rest of the world is also seeing growing adoption, particularly in industries with complex supply chains.

Competitive Landscape
The competitive landscape of the Vendor Risk Management Software market is characterized by the presence of several key players, each striving to innovate and expand their market share. Leading companies like MetricStream, Bitsight, SecurityScorecard, SAI Global, LogicGate, DueDil, Intelex Technologies, IBM, LockPath, Genpact, Resolver are at the forefront, offering comprehensive VRM solutions with advanced features such as AI-driven analytics, real-time monitoring, and compliance management. These players are also focusing on strategic partnerships, acquisitions, and geographic expansion to strengthen their market position. Additionally, the market is witnessing the entry of new players, especially in the cloud-based segment, which is intensifying competition and driving further innovation.

Future Outlook
The future of the Vendor Risk Management Software market looks promising, with continued growth expected over the next decade. The increasing reliance on third-party vendors, coupled with the rising complexity of global supply chains, will continue to drive demand for VRM solutions. Technological advancements, particularly in AI, ML, and blockchain, will further enhance the capabilities of these tools, making them indispensable for businesses across industries. Moreover, as regulatory environments become more stringent, organizations will increasingly turn to VRM software to ensure compliance and mitigate risks. The market is also likely to see greater adoption in emerging economies, where digital transformation and regulatory focus are on the rise.

Geographic Dominance:

North America dominates the Vendor Risk Management Software market, driven by the region’s advanced regulatory frameworks, technological innovation, and high awareness of cybersecurity risks. The U.S., in particular, plays a pivotal role, with a significant number of key market players headquartered in the country, including major tech hubs that are fostering the development and adoption of cutting-edge vendor risk management solutions. The strict regulatory environment, such as the Sarbanes-Oxley Act (SOX) and the Health Insurance Portability and Accountability Act (HIPAA), further compels organizations to adopt robust risk management tools to ensure compliance and mitigate potential liabilities. Additionally, the increasing frequency of data breaches and cyber threats has heightened the focus on vendor risk management in this region. As a result, North America continues to lead the market, setting the pace for technological advancements and influencing global trends in vendor risk management practices.

Vendor Risk Management Software Market Segment Analysis

The Vendor Risk Management Software market is segmented based on By Type, By Application and Geography, offering a comprehensive analysis of the industry.

By Type:

Cloud-Based Solutions: Offering scalability, remote accessibility, and lower upfront costs, cloud-based solutions are gaining traction among organizations looking for flexible and efficient vendor risk management.On-Premises Solutions: Preferred by companies with stringent data security requirements and a need for highly customizable software, on-premises solutions provide full control over the deployment environment.

By Application:

BFSI (Banking, Financial Services, and Insurance): High demand for managing regulatory compliance and financial risk.Healthcare: Focus on securing sensitive patient data and complying with healthcare regulations.IT & Telecom: Managing risks associated with complex technology supply chains.Manufacturing: Ensuring supply chain integrity and minimizing operational risks.Others: Includes sectors like retail, energy, and government, where vendor risk management is crucial for operational continuity.

By Geography:

North America: Leading market due to advanced regulatory frameworks and high adoption of technology.Europe: Strong growth driven by GDPR and other compliance regulations.Asia-Pacific: Rapid market expansion fueled by increasing digital transformation and regulatory developments.Rest of the World: Growing awareness and adoption of vendor risk management solutions across emerging economies.

Internet, Communication, and Technology (ICT):

The Vendor Risk Management Software market within the Internet, Communication, and Technology (ICT) sector is evolving rapidly as organizations increasingly rely on complex technology infrastructures and third-party services. This sector encompasses a broad range of services, including internet service providers, communication networks, software development, and IT services. As businesses in the ICT sector become more interconnected, the need for effective vendor risk management solutions grows, driven by concerns over data security, compliance, and operational continuity. Vendor risk management software helps ICT companies mitigate risks associated with outsourcing, partnerships, and vendor relationships by providing tools for risk assessment, monitoring, and compliance. Key features often include real-time risk analysis, automated compliance checks, and integration with other IT systems. The increasing frequency of cyber threats, stringent regulatory requirements, and the growing complexity of ICT ecosystems are propelling the demand for advanced risk management solutions in this sector.

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About Us: Market Research Intellect

Welcome to Market Research Intellect, where we lead the way in global research and consulting, proudly serving over 5,000 esteemed clients worldwide. Our mission is to empower your business with cutting-edge analytical research solutions, delivering comprehensive, information-rich studies that are pivotal for strategic growth and critical revenue decisions.

Unmatched Expertise: Our formidable team of 250 highly skilled analysts and subject matter experts (SMEs) is the backbone of our operations. With extensive training in advanced data collection and governance, we delve into over 25,000 high-impact and niche markets. Our experts seamlessly integrate modern data collection techniques, robust research methodologies, and collective industry experience to produce precise, insightful, and actionable research.

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Having collaborated with numerous Fortune 2000 companies, we bring unparalleled experience and reliability to meet all your research needs. Our proven track record reflects our commitment to excellence and client satisfaction.

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Market Research Intellect
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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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SOURCE BinBase

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

SOURCE Walnut Coding

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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