Deception Technology Market Set to Grow at 13.64% CAGR by 2028
Deception Technology Market is set to experience substantial growth over the next few years, with QKS Group revealing that the market is projected to register a CAGR of 13.64% by 2028. This impressive expansion reflects the evolving cybersecurity environment, where traditional security frameworks are no longer sufficient to combat advanced and persistent digital threats. As cyber-attacks become more complex—often bypassing conventio... moreDeception Technology Market Set to Grow at 13.64% CAGR by 2028
Deception Technology Market is set to experience substantial growth over the next few years, with QKS Group revealing that the market is projected to register a CAGR of 13.64% by 2028. This impressive expansion reflects the evolving cybersecurity environment, where traditional security frameworks are no longer sufficient to combat advanced and persistent digital threats. As cyber-attacks become more complex—often bypassing conventional detection systems—organizations are increasingly turning to innovative defence strategies, with Deception Technology emerging as a critical tool.
Deception Technology works by deploying decoys, traps, and lures that mimic real IT assets within an organization’s infrastructure. These decoys mislead cybercriminals, enabling security teams to detect, analyze, and neutralize threats before they cause damage. Unlike conventional security solutions that rely primarily on signatures or pre-known attack patterns, deception-based tools provide real-time threat visibility and early detection without alerting intruders that they have been discovered. This stealth-based approach significantly enhances response time, leading to more proactive and effective cyber defence.
Several major factors are contributing to the rapid growth of the Deception Technology market. One of the primary drivers is the rising sophistication of ransomware, zero-day exploits, insider threats, and advanced persistent threats (APTs). These types of cyberattacks often penetrate traditional firewalls and endpoint protection systems undetected. As a result, enterprises are shifting toward advanced security solutions capable of identifying threats within networks rather than solely at entry points. Additionally, the widespread digital transformation of industries such as banking, healthcare, retail, and telecommunications has expanded the attack surface, increasing the demand for more resilient cybersecurity strategies.
Another significant contributor to market growth is the tightening of global cybersecurity regulations and compliance mandates. Governments and industry regulators are placing robust requirements on organizations to ensure the protection of sensitive data and critical digital assets. This regulatory pressure is compelling organizations to adopt more advanced, layered security frameworks, where Deception Technology plays a crucial role in strengthening incident response capabilities.
Regionally, North America currently dominates the market due to high cybersecurity investment, the presence of major technology providers, and high rates of cybercrime targeting enterprises and government institutions. Europe follows closely, driven by strict GDPR compliance and rising digital infrastructure adoption. Meanwhile, the Asia-Pacific region is experiencing the fastest growth, supported by rapid digitalization, expanding cloud deployment, and increased awareness of cyber risks across emerging economies.
Key industry sectors such as banking and financial services, healthcare, and government agencies are among the leading adopters of deception-based security solutions due to the highly confidential nature of the data they manage. These industries face constant cyber-attack attempts and require proactive threat intelligence to maintain operational continuity and safeguard public trust.
As cyber threats continue to evolve, organizations are recognizing that detection and response speed are critical. Deception Technology is quickly becoming a core component of modern cybersecurity strategies, offering significant advantages over traditional approaches. With ongoing innovation, increasing deployment across industries, and rising investor interest, the market is set for robust expansion through 2028, ultimately strengthening global digital resilience.
In an era where cyber attackers are becoming smarter, Deception Technology offers a powerful way for defenders to stay one step ahead.
Anti-Money Laundering (AML) Market Set for Rapid Expansion: QKS Group Projects 16.2% CAGR Through 2030
Anti-Money Laundering (AML) market is poised for robust expansion, with QKS Group projecting a compound annual growth rate (CAGR) of 16.2% through 2030. This surge reflects the critical need for advanced solutions to combat financial crimes in an increasingly complex and digitally accelerated financial ecosystem. As financial institutions face heightened regulatory scrutiny and evolving crimin... moreAnti-Money Laundering (AML) Market Set for Rapid Expansion: QKS Group Projects 16.2% CAGR Through 2030
Anti-Money Laundering (AML) market is poised for robust expansion, with QKS Group projecting a compound annual growth rate (CAGR) of 16.2% through 2030. This surge reflects the critical need for advanced solutions to combat financial crimes in an increasingly complex and digitally accelerated financial ecosystem. As financial institutions face heightened regulatory scrutiny and evolving criminal tactics, AML solutions have become an indispensable cornerstone of global compliance and risk management frameworks.
An Anti-Money Laundering solution is a comprehensive suite of integrated technologies and processes designed to identify, prevent, and report money laundering and related illicit financial activities. These solutions enable banks, fintech companies, insurance providers, securities firms, and other regulated industries to ensure compliance with evolving global regulations while safeguarding the integrity of financial systems.
Modern AML platforms incorporate several essential components, including Customer Due Diligence (CDD), Transaction Monitoring, Watchlist and Sanctions Screening, Alert Generation, Risk Assessment, Regulatory Reporting, Data Analytics, and Artificial Intelligence (AI). Together, these capabilities help organizations build detailed customer risk profiles, continuously monitor financial behavior, and detect hidden patterns or anomalies that may indicate criminal activity.
Key Drivers of AML Market Growth
A combination of technological, regulatory, and industry-driven forces is fueling the rapid growth of this sector:
1. Increasing Regulatory Requirements
Governments and regulatory bodies worldwide—such as FATF, FinCEN, and the European Union—are enforcing stricter AML and KYC mandates. Non-compliance can result in severe penalties, reputational damage, and business loss, pushing financial institutions to invest heavily in advanced AML solutions.
2. Rise in Digital Transactions and Fintech Innovations
As digital banking, online payments, blockchain, and cryptocurrency adoption continue to grow, so do opportunities for sophisticated financial crimes. AML solutions support real-time monitoring and faster risk response, critical in preventing fraud and cross-border money laundering schemes.
3. Integration of AI and Data Analytics
AI-powered AML solutions significantly enhance accuracy by minimizing false positives, enabling predictive risk scoring, and detecting complex anomalies. Machine learning algorithms adapt to emerging criminal behaviors, allowing institutions to stay ahead of threats.
4. Growing Volume of Financial Data
With expanding customer bases and increasing transaction volumes, manual monitoring is no longer feasible. Scalable AML systems support automated decision-making and reduce operational burden.
The rapid expansion of AML technology is creating new opportunities across deployment modes, including cloud-based AML systems, which offer cost efficiency, scalability, and faster implementation. Small and medium-sized financial institutions are becoming major contributors to market growth as they adopt modern tools to remain competitive and compliant.
Additionally, collaborations between technology vendors and financial regulators are driving innovation and standardization. Vendors are increasingly integrating AML with fraud detection, cybersecurity, and identity verification platforms to deliver end-to-end financial crime compliance ecosystems.
Conclusion
As financial crime continues to evolve, the AML market is set to remain at the forefront of global financial security. With a projected 16.2% CAGR through 2030, AML solutions are becoming vital strategic investments, enabling organizations to protect assets, maintain trust, and navigate a complex regulatory landscape. Advancements in AI, analytics, and automation will further accelerate market growth, making AML technology central to maintaining the integrity and transparency of financial systems worldwide.
Access Management Market Outlook: Strategic Forecast and Industry Trends to 2030
QKS Group reveals that the global Access Management (AM) Market is projected to reach a valuation of USD 31.25 billion by 2030, growing at a robust CAGR of 13.79% from 2025 to 2030. This strong growth trajectory underscores the rising importance of access management as a foundational pillar of modern cybersecurity strategies across industries.
QKS Group reveals that the global Access Management (AM) Market is projected to reach a valuation of USD 31.25 billion by 2030, growing at a robust CAGR of 13.79% from 2025 to 2030. This strong growth trajectory underscores the rising importance of access management as a foundational pillar of modern cybersecurity strategies across industries.
Access Management has evolved far beyond traditional identity and password controls. As organizations accelerate digital transformation, adopt cloud-first strategies, and support hybrid and remote work models, the complexity of managing user access has increased significantly. Enterprises today must secure access not only for employees, but also for partners, contractors, applications, devices, and APIs across distributed environments. This expanding attack surface has made access management solutions mission-critical for protecting sensitive data and digital assets.
One of the most significant drivers shaping the future of the Access Management market is the widespread adoption of zero-trust security models. Zero trust operates on the principle of “never trust, always verify,” requiring continuous authentication and authorization for every access request. Access management platforms are central to enabling zero-trust architectures by enforcing granular access controls, contextual authentication, and continuous monitoring of user behavior.
Another major trend accelerating market growth is the integration of AI-driven analytics within access management solutions. Artificial intelligence and machine learning enhance threat detection by identifying anomalous access patterns, compromised credentials, and insider threats in real time. These capabilities enable organizations to move from reactive security approaches to proactive and predictive access governance, significantly reducing the risk of breaches.
The increasing reliance on cloud services and SaaS applications is also fueling demand for scalable and interoperable access management platforms. Modern AM solutions are designed to seamlessly integrate across multi-cloud and hybrid IT environments, providing centralized visibility and control while maintaining a frictionless user experience. This balance between security and usability is becoming a key differentiator for solution providers.
In parallel, regulatory frameworks worldwide are becoming more stringent, with data protection and privacy mandates placing greater accountability on organizations. Compliance with regulations such as GDPR, industry-specific standards, and regional cybersecurity laws is pushing enterprises to adopt advanced access management solutions that offer strong auditability, policy enforcement, and compliance reporting.
Looking ahead, the global Access Management Market is poised for sustained growth, driven by continuous innovation, increasing cybersecurity investments, and the need for resilient digital trust frameworks. As threats evolve and digital ecosystems expand, access management will remain at the core of enterprise security strategies, reinforcing its critical role in the future of cybersecurity.
Speech Analytics Market is entering a rapid growth phase, with QKS Group projecting a valuation of $2.86 billion by 2030, driven by the rising importance of real-time customer insights and automated voice intelligence. The industry is expected to maintain a strong CAGR of 14.20% from 2025 to 2030, signaling increasing adoption across sectors such as BFSI, telecom, retail, healthcare, and customer service o... moreVoice Intelligence Revolution: Exploring the $2.86 Billion Speech Analytics Market Future
Speech Analytics Market is entering a rapid growth phase, with QKS Group projecting a valuation of $2.86 billion by 2030, driven by the rising importance of real-time customer insights and automated voice intelligence. The industry is expected to maintain a strong CAGR of 14.20% from 2025 to 2030, signaling increasing adoption across sectors such as BFSI, telecom, retail, healthcare, and customer service outsourcing.
Speech analytics has evolved into a strategic backbone for customer experience (CX) and operational intelligence. Organizations now rely on this technology to extract actionable insights from voice-based interactions, uncovering patterns and sentiments hidden within millions of recorded conversations. From call centers to financial service providers, speech analytics enables businesses to understand customer emotions, identify root causes of dissatisfaction, and detect trends contributing to churn.
A key strength of modern speech analytics is its ability to integrate seamlessly across recorded and omnichannel communication streams, including IVR, phone calls, virtual assistants, and voice-enabled applications. With omnichannel customer engagement becoming the norm, enterprises are leveraging speech analytics to gain a unified view of customer behavior and intent.
Beyond customer intelligence, Speech Analytics plays a pivotal role in agent performance improvement. It enables end-to-end call evaluation, measuring tone, sentiment, compliance adherence, and response patterns. These insights support data-driven coaching, risk mitigation, and service quality enhancement—ultimately improving operational efficiency and customer satisfaction.
Historically, speech analytics began as word detection or audio mining software used primarily for surveillance and compliance. Early systems relied on large vocabulary recognizers to convert speech to text with limited accuracy, focusing mostly on predefined keywords.
However, the technology has evolved significantly. Today’s advanced solutions leverage phonetics-based technology, AI, and machine learning, offering superior flexibility in analyzing words, phrases, names, and conversational context—even those not stored in traditional dictionaries. With real-time analytics, sentiment detection, predictive modeling, and automation capabilities, speech analytics is now a transformative technology reshaping customer engagement and operational intelligence.
As industries continue to adopt digital-first communication models, the demand for intelligent voice processing solutions will accelerate—positioning speech analytics as a core capability for future-ready businesses.
Network Detection and Response Market: Trends, Growth, and Future Outlook
Network Detection and Response (NDR) market is set for substantial growth, with a projected valuation of $4.24 billion by 2030, expanding at a robust compound annual growth rate (CAGR) of 17.46% from 2025 to 2030, according to QKS Group. This surge highlights the increasing importance of advanced cybersecurity solutions as organizations face growing threats in an era of digital transformation and global collaboration.
Cl... moreNetwork Detection and Response Market: Trends, Growth, and Future Outlook
Network Detection and Response (NDR) market is set for substantial growth, with a projected valuation of $4.24 billion by 2030, expanding at a robust compound annual growth rate (CAGR) of 17.46% from 2025 to 2030, according to QKS Group. This surge highlights the increasing importance of advanced cybersecurity solutions as organizations face growing threats in an era of digital transformation and global collaboration.
In today’s interconnected business landscape, organizations frequently partner with third-party vendors, suppliers, and contractors to reduce operational costs, improve profitability, accelerate time-to-market, and enhance overall productivity. While these partnerships offer significant operational advantages, they also introduce considerable security risks. Sensitive information, including personally identifiable information (PII), financial records, and proprietary data, is routinely shared with external partners. Any breach or compromise at these third-party organizations can result in unauthorized access, data leaks, and severe reputational and financial consequences for the primary organization.
The rapid globalization of businesses, combined with increased reliance on cloud services and outsourced IT solutions, has amplified the exposure to such risks. Critical organizational functions such as payroll management, IT infrastructure, and customer service operations are often managed by external vendors, making it essential for organizations to maintain visibility and control over their network environments. In this context, traditional security measures such as firewalls and antivirus software are no longer sufficient to address sophisticated threats, prompting the adoption of advanced solutions like NDR.
Network Detection and Response solutions offer a proactive approach to cybersecurity by providing real-time monitoring, detection, and automated response to anomalous network activities. Unlike conventional security tools, NDR systems employ behavioral analytics, machine learning, and threat intelligence to identify unusual patterns, potential intrusions, and lateral movement within the network. This enables organizations to detect threats before they escalate into significant security incidents.
Moreover, NDR solutions empower organizations to manage and mitigate risks associated with third-party vendors. Continuous monitoring of network traffic, combined with automated alerting and incident response, ensures that any suspicious activity—whether internal or stemming from external partnerships—is promptly identified and addressed. By enforcing strict security protocols and maintaining comprehensive visibility, NDR systems help organizations safeguard sensitive data, maintain regulatory compliance, and uphold customer trust.
The growing NDR market is a reflection of organizations’ increasing awareness of cybersecurity threats and their commitment to adopting sophisticated tools for risk management. As cyberattacks become more targeted and complex, the integration of NDR into enterprise security strategies will become a critical requirement, particularly for organizations relying heavily on third-party collaborations.
In conclusion, the projected growth of the Network Detection and Response market underscores its vital role in the modern digital landscape. By enabling continuous monitoring, real-time threat detection, and automated response, NDR solutions provide organizations with the security framework needed to protect sensitive data, manage third-party risks, and ensure business continuity in an increasingly interconnected world.
Rebuilding Product Data Confidence: Inside SPARK Plus™ and the Next Phase of PIM Evaluation
Fragmented Product Data: The Hidden Barrier to Customer Trust
When a shopper searches online for a new pair of shoes. The respective website shows one colour but the mobile app displays another at the same time, the product page lists inconsistent sizes across regions. It results in confusion and loss of trust for the specific brand. Here the underlying problem is not poor marketing, but its fragmentate... moreRebuilding Product Data Confidence: Inside SPARK Plus™ and the Next Phase of PIM Evaluation
Fragmented Product Data: The Hidden Barrier to Customer Trust
When a shopper searches online for a new pair of shoes. The respective website shows one colour but the mobile app displays another at the same time, the product page lists inconsistent sizes across regions. It results in confusion and loss of trust for the specific brand. Here the underlying problem is not poor marketing, but its fragmentated product data. This scenario highlights how a Product Information Management (PIM) solution is essential for accurate and consistent commercial experiences.
QKS Group defines Product Information Management (PIM) as a "solution that organize, govern, enrich product content and distribute it through connected commerce networks to achieve uniformity, regulatory compliance, and conversion optimization at customer touchpoints. The solution gathers data from various internal and external sources to organize it through category-based schemas while enhancing it with attributes, media assets, and localized content through automated processes, AI, and integrated syndication workflows." PIM solution help brands and retailers achieve unified product information management through data consolidation, attribute enrichment, digital asset management, regulatory compliance alignment, omnichannel syndication, and performance tracking regardless of product complexity and scale. Modern PIM systems function as the definitive product content repository that enables direct integration between upstream data systems (ERP, PLM, supplier portals) and downstream distribution channels (eCommerce storefronts, marketplaces, social commerce channels, and in-store systems).
Why PIM Has Become a Core Enabler of Modern Commerce
Providing a seamless phygital experience is one of the main criteria that sets a brand apart from the other vendors in the market. In addition, customers now prioritize consistency, agility, and trust. Need of PIM solutions have increased in the past few years due to rising SKU counts, omnichannel expansion, sustainability disclosures, and tightening compliance norms. As managing variant data like mix of colour, size, materials and localized descriptions at large scale is impossible with legacy tools, whereas PIM provides scalable product data modeling linking attributes across multiple SKUs. In addition, enterprises now integrate all systems like ERP, PLM, DAM and such others, all generating product related data. In this case, PIM act as the integration hub that unified product information across systems. As consumers require transparency, there has been a significant rise of sustainability regulations like EU Digital Product Passport (DPP), GS1 standards and rise of AI to generate structured and enriched product data. As a result of these driving factors, PIM has become foundational for retailers, brands and manufacturers to validate product data accuracy across marketplaces, B2B portals, and D2C sites. More than ever, with abundant of data available, role of PIM as a single source of truth has become crucial.
The Challenge: Choosing the Right PIM Solution
As the efficiency of PIM directly affects customer trust, it is essential to choose an appropriate PIM based on specific business requirements. In general, decision makers rely on analyst evaluations to select a solution but feedback from validated users increases the credibility of the particular solution.
Introducing SPARK Plus™: Bridging Insight with Evidence
Taking this dual perspective into consideration and to filter out the noise & provide clarity, QKS Group has launched SPARK Plus™, a vendor analysis platform which is not only backed by analyst insights but also with validated user reviews providing dual validation. Analysts at QKS Group track several markets in multiple domains, one such example in hand is Product Information Management Market in Retail domain. Their analysis is reproduced as a comprehensive SPARK Report and SPARK Matrix™ in which vendors are positioned with respects to their technology capability and customer service excellence capabilities.
SPARK Plus™ is backed by SPARK Matrix™ analyst driven insights along with end user reviews that helps in breaking down of the solution not only in terms of its capabilities but also in terms of their segmentation in geography, industry and customers; pricing strategy, ideal customer profile, customer references and such others that reveal suitability of the solution in respect to the business needs. SPARK Plus™ platform has around 5000+ vendor evaluations that even enables the users to perform vendor – vendor comparison helping to understand pros and cons of both the vendors in a comprehensive manner rather than a snapshot. SPARK Plus™ is useful for users in navigating unstable and critical markets especially like Product Information Management to pick a solution that resonate with their core business needs.
Broader coverage of SPARK Plus™
As far as Product Information Management market is concerned, SPARK Plus™ provides thorough analysis of all vendors enabling decision makers to compare and choose the optimal vendor for different kinds of business end goals. It deep dives into industrial, geographical and customer segmentation that provides users with snapshot of the solution provider core focus.
Industry Coverage: In respect to PIM market, SPARK Plus™ provides wide industry coverage spanning across retail vertical in which it covers the solution provider industry depth in consumer durables, fashion and apparels, food & grocery, jewellery; entertainment and consumer electronics, supermarkets, e-commerce, auto spareparts, healthcare and such others. SPARK Plus™ helps decision makers to prioritize solution providers who are aligned with their respective industry.
Geographical Presence: It is important to understand about a solution provider geographical presence as it directly affects the service level. In general, decision makers look for solution providers with global presence with dominant local presence that reflects brand credibility and improved customer service. Even users looking for local solution for cost cutting can make use of SPARK Plus™. SPARK Plus™ provides clear analysis of solution providers in terms of geographical lens.
Customer Segmentation: SPARK Plus™ helps decision makers in understanding solution providers’ customer segmentation, in terms of SMB, large and enterprise. Understanding the core customer segment of a particular solution provider reflects the capability depth as well as the scalability, adaptability, flexible areas.
Providing all such information in depth, SPARK Plus™ act as a Market Intelligence as well as a vendor benchmarking platform. SPARK Plus™ uses analyst insights along with users reviews along with QKS insider, that is basically raw comparison of vendors in blog format to provide decision makers with much confidence for choosing a solution.
Conclusion
By combining structured analyst research with verified user experience, SPARK Plus™ transforms how enterprises assess PIM platforms. It replaces assumption with evidence, ensuring decision makers choose solutions that truly strengthen product data accuracy and accelerate omnichannel growth.
Unifying Perspectives in Digital Threat Intelligence: How SPARK Plus Closes the Evaluation Reality Gap
Digital Threat Intelligence Management has quietly become one of the most strategic layers in enterprise cybersecurity. It sits at the intersection of external threat visibility, predictive analytics, and operational response. But while the technology has evolved rapidly, the way most organisations evaluate these platforms has not kept up. Market reports and rankings still focus on what vendor... moreUnifying Perspectives in Digital Threat Intelligence: How SPARK Plus Closes the Evaluation Reality Gap
Digital Threat Intelligence Management has quietly become one of the most strategic layers in enterprise cybersecurity. It sits at the intersection of external threat visibility, predictive analytics, and operational response. But while the technology has evolved rapidly, the way most organisations evaluate these platforms has not kept up. Market reports and rankings still focus on what vendors claim to deliver, not how these capabilities perform in real environments. This disconnect has created what I call the evaluation reality gap. It is reshaping how security leaders think about buying decisions, and it is exactly the gap that SPARK Plus is designed to close.
QKS Group defines Digital Threat Intelligence Management as “technology that offers unified insight into external threats to organisational digital-facing assets. The technology aggregates and processes threat intelligence from multiple sources and provides comprehensive information about threat actors to enable improved investigation, threat hunting, and cyber defence.”
This sounds straightforward, but the real picture is far more dynamic. The threat landscape is no longer evolving in predictable cycles. It is accelerating. Adversaries now use artificial intelligence to generate new attack vectors, deepfake content to carry out fraud campaigns, automated tools to exploit vulnerabilities, and highly coordinated supply chain compromises. Traditional security approaches such as signature-based detection and static threat feeds are constantly a step behind.
Digital Threat Intelligence platforms have had to keep pace. They are no longer passive collectors of data. Modern systems combine real-time ingestion, behavioural analytics, adaptive learning, and predictive intelligence. They contextualise data for specific environments and integrate directly with security operations. In practice, they function less like information feeds and more like anticipatory defence systems, helping security teams act before incidents turn into breaches.
Yet evaluation methods have remained stuck in an earlier era. Most traditional assessments focus on product breadth, feature sets, and market presence. These perspectives can be useful, but they do not tell you how a platform behaves when deployed. A vendor may score highly because it aggregates hundreds of intelligence feeds. On paper, that looks impressive. In reality, it may overwhelm security analysts with low-fidelity alerts and false positives. Another vendor may rank lower in a quadrant but offer sharper, more localised intelligence that provides a real operational edge in specific regions. Some platforms excel in North America but lose significant depth in Asia-Pacific because they do not track local threat actors or support language-specific dark web monitoring.
Evaluations often measure potential, not proof. That is the essence of the evaluation reality gap. There is a disconnect between how platforms are perceived on paper and how they perform in practice. This gap explains why organisations often chase the highest-ranked vendors, only to discover later that top of the chart does not always mean best fit. It leads to longer testing periods, delayed deployments, integration challenges, and, at times, expensive tools that never fully deliver because they were never the right match for the environment in the first place.
SPARK Plus was created to address this gap head-on. Developed by QKS Group, it is the first platform to combine structured analyst insight with verified user evidence. It is not an incremental tweak to how evaluations are done. It represents a shift in how decisions are made. Organisations no longer want vendor promises. They want evidence. They want to know not only who leads the market, but who works best for their specific context.
SPARK Plus brings together two types of intelligence that have traditionally existed in separate silos. On one side, it provides detailed analyst evaluations through the SPARK Matrix. These assessments benchmark vendors at a parameter level, covering capabilities such as data processing, enrichment quality, and integration maturity. On the other side, it includes verified user feedback drawn from actual deployments. This feedback captures enrichment speed, signal accuracy, localisation effectiveness, and how well the platform integrates with existing security workflows. When these two perspectives are combined, they provide a much clearer view of vendor performance.
The importance of context becomes obvious when you look at how different industries and regions use threat intelligence. A financial institution focuses on speed, fraud detection, and early tracking of threat actors. A healthcare organisation prioritises ransomware monitoring and third-party exposure visibility because downtime can have direct consequences for patient safety. Manufacturing companies look for intelligence that maps to supply chain risks and operational technology security. Geographical differences matter just as much. Asia-Pacific regions need language-specific threat intelligence and local actor coverage. Latin America faces ransomware collaboration networks. The Middle East and Africa often deal with targeted nation-state campaigns. None of this nuance fits cleanly into a quadrant chart, but it matters enormously when selecting the right platform.
SPARK Plus enables this kind of contextual evaluation. A security leader can compare vendors not just on global rankings, but on how they perform in a specific industry and region, based on real operational data. This shortens evaluation cycles, increases decision confidence, and leads to smarter platform selections that align with actual threat environments rather than generic benchmarks.
The move toward evidence-based cybersecurity decisions is already underway. Security leaders are no longer content to treat static rankings as a final answer. They want clarity they can trust. SPARK Plus does not replace analyst research. It strengthens it by grounding strategic assessments in operational reality. It closes the gap between what is promised and what is proven.
Digital Threat Intelligence has matured into a predictive and strategic defence capability. If the technology itself has evolved, then the way we evaluate it must evolve too. The evaluation reality gap will not close on its own. SPARK Plus represents a deliberate step toward more intelligent, evidence-based decision-making in cybersecurity. In a landscape where attackers are faster and more adaptive than ever, the clarity of our technology choices matters just as much as the tools themselves.
From Analyst Insights to User Validation: A 360° View of the AIOps Market through SPARK Plus™
Introduction
QKS Group defines AIOps (Artificial Intelligence for IT Operations) as a platform that leverages big data, machine learning, advanced analytics, and AI to deliver actionable insights, enabling organizations to monitor, automate, and enhance IT operations for optimized service availability, uptime, and performance. The platform analyzes MELT (Metrics, Events, Logs, and Traces) and perform... moreFrom Analyst Insights to User Validation: A 360° View of the AIOps Market through SPARK Plus™
Introduction
QKS Group defines AIOps (Artificial Intelligence for IT Operations) as a platform that leverages big data, machine learning, advanced analytics, and AI to deliver actionable insights, enabling organizations to monitor, automate, and enhance IT operations for optimized service availability, uptime, and performance. The platform analyzes MELT (Metrics, Events, Logs, and Traces) and performance data from diverse systems, applications, and tools to provide holistic visibility into IT interdependencies.
Today's fast-paced digital landscape has witnessed AIOps transform from an exclusive innovation to an integrating factor for big entities with cloud-native, hybrid, and distributed environments. As the attention of the market has already been drawn to it, there is a rapid and widespread adoption of AIOps by organizations that aim to be predictive, not reactive, in problem resolution. With the increase in the level of infrastructure complexity, CIOs as well as IT heads are turning more and more to AIOps for business continuity, downtime minimization, and achieving operational intelligence at scale.
Vendors such as Splunk (Cisco), Dynatrace, ServiceNow, Datadog, and IBM are at the forefront of redefining this transformation. Each vendor is one of a kind as they blend observability, AI automation, and scalability to the enterprise. From Splunk’s deep observability integrations and IBM’s cognitive intelligence to Dynatrace’s Grail data lakehouse and ServiceNow’s predictive ITSM workflows, the AIOps landscape continues to expand, bridging performance analytics with business outcomes.
Problem Statement
Choosing the right AIOps platform has never been more difficult than it is today. With so many players in the space advertising "AI-powered operations" and "self-healing automation," decision-makers must take on the hard job of separating marketing hype from real value.
Analyst evaluations present structured ways to think through market position, but organizations frequently want to explore what spoke to top thinkers and users, end-users what was actually experienced in deployment, and then those practices lead back to measurable ROI. This creates what we call the trust and evaluation gap, though more importantly, where market intelligence structured analysis seems to fall short in competing against a real, lived experience.
For example, a vendor may excel in technology innovation, but it has not been tested in an enterprise environment or one that scales well. Or, users boast about a system's usability, but the system is not yet as analytically robust. Traditions analyst reports do not come close to conveying this level of nuance.
As IT decision-makers trend toward evidence-based purchasing and require a medium to cross-reference analyst insights with actual user feedback, SPARK Plus™ provides a way to connect structured analysis with validation from users to create a 360° view of AIOps solutions.
Introducing SPARK Plus™
SPARK Plus™, developed by QKS Group, is the world’s first Analyst + User Review Platform, designed to integrate expert research alongside verified customer feedback within a single, transparent decision-support framework. It helps enterprises move beyond static vendor comparisons and toward insight-driven validation backed by both data and lived experience.
Each SPARK Plus™ report builds on the foundation of the SPARK Matrix™, also developed by the QKS Group, a globally recognized vendor benchmarking framework. As the SPARK Matrix™ evaluates vendors based on Technology Excellence and Customer Impact, SPARK Plus™ applies a vital new dimension, the voice of the customer.
This combination enables enterprises to see both sides of the equation: analyst-backed evaluations of product strategy, vision, and innovation, alongside real-world feedback on usability, scalability, deployment, and support.
In our AIOps SPARK Plus™ study, we profiled leading vendors, including Splunk (Cisco), Dynatrace, ServiceNow, Datadog, and IBM, leveraging insights from verified enterprise users across industries and geographies.
• Dynatrace is viewed positively for its autonomous operations, Davis AI engine, and Grail data model that unifies MELT data for contextual analysis. Enterprises note fast time-to-value and intuitive visualization as key differentiators.
• ServiceNow leads in IT workflow automation and AIOps - ITSM convergence. Customers value the predictive intelligence and ease of integration with existing IT service environments.
• Datadog has very strong user sentiment for its ease of deployment, cloud-native scalability, and rich visualization. Its seamless cross-domain observability earns high marks for DevOps alignment.
• IBM’s Cloud Pak for AIOps, Instana Observability, and IBM Concert provide cognitive automation and deep ML capabilities, specifically for large, hybrid enterprises seeking explainable AI and data governance.
Overall, these insights demonstrate the importance of combining analyst rigor with user authenticity. SPARK Plus™ takes vendor assessments from a theoretical basis to a more balanced, evidence-driven perspective that reflects true enterprise experience.
SPARK Matrix™ Coverage within SPARK Plus™
The SPARK Matrix™ remains the analytical core of QKS Group’s market evaluation framework, benchmarking vendors along two dimensions: Technology Excellence and Customer Impact. The SPARK Plus™ expansion integrates verified user sentiment data into this matrix, enhancing both the credibility and contextual relevance of vendor positioning.
For the AIOps market, SPARK Plus™ offers in-depth coverage across major industries and regions, reflecting the diverse operational needs and deployment contexts of global enterprises:
• Banking, Financial Services & Insurance (BFSI): Emphasis on predictive incident prevention and regulatory compliance.
• Retail & eCommerce: Focus on performance visibility and digital experience monitoring.
• Healthcare: Demand for secure, compliant automation and proactive issue resolution.
• Manufacturing: Need for operational continuity and OT/IT integration.
• IT & Telecom: Drive toward scalable, self-healing infrastructures for mission-critical uptime.
Regions covered:
• North America (U.S., Canada): Leading adoption in large enterprises and hybrid IT environments.
• Europe (U.K., Germany, France, Nordics): Growing focus on data compliance and AI transparency.
• Asia-Pacific (APAC): Rapid adoption driven by digital transformation and cloud acceleration.
• Middle East & Africa (MEA): Increasing demand for service automation in emerging digital economies.
• Latin America: Early-stage adoption with strong interest in cost-efficient AIOps models.
This global and cross-industry coverage ensures that SPARK Plus™ delivers insights not only for global CIOs but also for regional IT leaders seeking localized intelligence. Whether it’s a global enterprise standardizing AIOps deployments or a regional operator optimizing observability, SPARK Plus™ brings actionable clarity to every decision.
Conclusion
As the AIOps market matures, the need for transparent, validated insights increases. Organizations no longer wish to depend fully on analyst frameworks and vendor claims, but rather interests balanced intelligence that reflects both analyst expertise and user experience.
With SPARK Plus™, QKS Group undoes this credibility gap. By combining structured research with verified user reviews, SPARK Plus™ enables organizations to make smarter, faster, and more confident technology decisions.
In an era defined by operational complexity, overflow of data, and AI-led decision-making, SPARK Plus™ is not simply a research product but a conduit between insight and reality, allowing enterprises to move from information to conviction and evaluation to execution.
Data Masking Market Expected to Grow at CAGR of 13.72% Through 2030
The rapid expansion of digital transformation and data-driven decision-making has significantly increased the volume of sensitive information handled by enterprises across industries. According to QKS Group, the global Data Masking market is projected to grow at a CAGR of 13.72% through 2030, driven by heightened cybersecurity threats, strict regulatory mandates, and the rising adoption of advanced analytics and cloud platforms... moreData Masking Market Expected to Grow at CAGR of 13.72% Through 2030
The rapid expansion of digital transformation and data-driven decision-making has significantly increased the volume of sensitive information handled by enterprises across industries. According to QKS Group, the global Data Masking market is projected to grow at a CAGR of 13.72% through 2030, driven by heightened cybersecurity threats, strict regulatory mandates, and the rising adoption of advanced analytics and cloud platforms.
Today, organizations continuously collect and analyze data to improve customer experience, optimize operations, and innovate new products and services. This data must often be shared widely across internal teams, third-party vendors, developers, and testing environments. However, accessing production-quality data outside secure environments introduces severe risk. Unauthorized access, misuse, or accidental exposure can lead to substantial financial losses, reputational damage, and legal penalties.
To address these risks, data masking has become a critical technique, enabling businesses to transform sensitive data into realistic but de-identified versions before sharing it across environments. This approach protects sensitive elements such as personally identifiable information (PII), payment card data, financial records, and health information—while still retaining data utility for analytics, testing, and research.
Compliance & Regulatory Pressure
Increasing enforcement of global data protection regulations has sharply accelerated data masking adoption. Frameworks such as GDPR, PCI-DSS, HIPAA, and regional data sovereignty laws require organizations to implement rigorous controls to safeguard consumer information. Failure to comply can result in multimillion-dollar penalties and operational sanctions. Data masking provides an essential layer of protection to minimize exposure and maintain compliance through controlled data access and secure sharing.
• Shift to cloud-based and hybrid data environments
• Growing need for secure data sharing in DevOps and testing
• Increased use of AI and analytics requiring anonymized datasets
Industries such as banking & financial services, healthcare, retail, telecommunications, and government are leading adoption due to large-scale sensitive data usage.
Future Outlook
As organizations expand digital ecosystems and integrate cloud, AI, and IoT technologies, the demand for advanced data masking tools—including dynamic masking, automated workflows, and intelligent classification—will continue to surge. With a projected CAGR of 13.72% through 2030, data masking will remain a fundamental element of cybersecurity and compliance strategies worldwide.
Data masking is no longer optional; it is a strategic necessity for safeguarding trust and enabling secure innovation.
Anti-Money Laundering (AML) Market Set for Rapid Expansion: QKS Group Projects 16.2% CAGR Through 2030
Anti-Money Laundering (AML) market is poised for robust expansion, with QKS Group projecting a compound annual growth rate (CAGR) of 16.2% through 2030. This surge reflects the critical need for advanced solutions to combat financial crimes in an increasingly complex and digitally accelerated financial ecosystem. As financial institutions face heightened regulatory scrutiny and evolving crimin... moreAnti-Money Laundering (AML) Market Set for Rapid Expansion: QKS Group Projects 16.2% CAGR Through 2030
Anti-Money Laundering (AML) market is poised for robust expansion, with QKS Group projecting a compound annual growth rate (CAGR) of 16.2% through 2030. This surge reflects the critical need for advanced solutions to combat financial crimes in an increasingly complex and digitally accelerated financial ecosystem. As financial institutions face heightened regulatory scrutiny and evolving criminal tactics, AML solutions have become an indispensable cornerstone of global compliance and risk management frameworks.
An Anti-Money Laundering solution is a comprehensive suite of integrated technologies and processes designed to identify, prevent, and report money laundering and related illicit financial activities. These solutions enable banks, fintech companies, insurance providers, securities firms, and other regulated industries to ensure compliance with evolving global regulations while safeguarding the integrity of financial systems.
Modern AML platforms incorporate several essential components, including Customer Due Diligence (CDD), Transaction Monitoring, Watchlist and Sanctions Screening, Alert Generation, Risk Assessment, Regulatory Reporting, Data Analytics, and Artificial Intelligence (AI). Together, these capabilities help organizations build detailed customer risk profiles, continuously monitor financial behavior, and detect hidden patterns or anomalies that may indicate criminal activity.
Key Drivers of AML Market Growth
A combination of technological, regulatory, and industry-driven forces is fueling the rapid growth of this sector:
1. Increasing Regulatory Requirements
Governments and regulatory bodies worldwide—such as FATF, FinCEN, and the European Union—are enforcing stricter AML and KYC mandates. Non-compliance can result in severe penalties, reputational damage, and business loss, pushing financial institutions to invest heavily in advanced AML solutions.
2. Rise in Digital Transactions and Fintech Innovations
As digital banking, online payments, blockchain, and cryptocurrency adoption continue to grow, so do opportunities for sophisticated financial crimes. AML solutions support real-time monitoring and faster risk response, critical in preventing fraud and cross-border money laundering schemes.
3. Integration of AI and Data Analytics
AI-powered AML solutions significantly enhance accuracy by minimizing false positives, enabling predictive risk scoring, and detecting complex anomalies. Machine learning algorithms adapt to emerging criminal behaviors, allowing institutions to stay ahead of threats.
4. Growing Volume of Financial Data
With expanding customer bases and increasing transaction volumes, manual monitoring is no longer feasible. Scalable AML systems support automated decision-making and reduce operational burden.
The rapid expansion of AML technology is creating new opportunities across deployment modes, including cloud-based AML systems, which offer cost efficiency, scalability, and faster implementation. Small and medium-sized financial institutions are becoming major contributors to market growth as they adopt modern tools to remain competitive and compliant.
Additionally, collaborations between technology vendors and financial regulators are driving innovation and standardization. Vendors are increasingly integrating AML with fraud detection, cybersecurity, and identity verification platforms to deliver end-to-end financial crime compliance ecosystems.
Conclusion
As financial crime continues to evolve, the AML market is set to remain at the forefront of global financial security. With a projected 16.2% CAGR through 2030, AML solutions are becoming vital strategic investments, enabling organizations to protect assets, maintain trust, and navigate a complex regulatory landscape. Advancements in AI, analytics, and automation will further accelerate market growth, making AML technology central to maintaining the integrity and transparency of financial systems worldwide.
Credit Risk Technology Solutions Market: A Comprehensive Overview
QKS Group’s latest market research on Credit Risk Technology Solutions (CRTS) provides an in-depth examination of the global landscape, highlighting emerging trends, evolving market dynamics, competitive positioning, and future outlook. As financial institutions continue to navigate economic uncertainties, regulatory pressures, and rapidly shifting risk environments, advanced CRTS platforms have become essential for managing cred... moreCredit Risk Technology Solutions Market: A Comprehensive Overview
QKS Group’s latest market research on Credit Risk Technology Solutions (CRTS) provides an in-depth examination of the global landscape, highlighting emerging trends, evolving market dynamics, competitive positioning, and future outlook. As financial institutions continue to navigate economic uncertainties, regulatory pressures, and rapidly shifting risk environments, advanced CRTS platforms have become essential for managing credit exposure with precision and agility. Leveraging AI, machine learning, predictive analytics, and automation, these solutions enable institutions to assess borrower risk, forecast default probabilities, monitor portfolios, and strengthen compliance frameworks.
Credit Risk Technology Solutions play a central role in modern financial ecosystems, supporting banks, fintechs, insurers, and credit bureaus in achieving more accurate and data-driven decision-making. These platforms integrate capabilities such as credit scoring, risk modelling, portfolio monitoring, stress testing, fraud detection, regulatory compliance, and predictive analytics. With increasing data volumes, complex market conditions, and rising customer expectations, CRTS have evolved into intelligent, real-time, automated systems that enhance risk management efficiency while reducing operational costs. The QKS Group research explores these transformative shifts, identifying opportunities and strategic considerations for vendors and enterprises.
Market Dynamics and Overview
The global CRTS market is experiencing strong momentum, driven by several key factors:
Rising credit demand and financial inclusion initiatives, especially across emerging markets
Regulatory tightening, pushing institutions to adopt more transparent and auditable risk frameworks
Digital transformation, fueling adoption of cloud-based and API-driven credit risk platforms
Shift toward AI-enabled analytics, enhancing predictive accuracy and real-time monitoring
Integration of alternative data, improving risk insights for underbanked and thin-file customers
Market growth is further accelerated as financial institutions prioritize automation, reduce manual workflows, and safeguard portfolios against economic volatility. Vendors that offer scalable, modular, and cloud-native solutions are expected to gain competitive advantage in the coming years.
Competition Landscape and Analysis
The CRTS market is highly competitive, with global players focusing on product innovation, AI capabilities, and integrated risk management platforms. QKS Group’s research evaluates the strategic positioning of leading vendors such as Bloomberg, Cube Logic, Dun & Bradstreet, Experian, FICO, Finastra, Fiserv, IBM, LexisNexis Risk Solutions, MORS, Moody’s Analytics, Oracle, Prometeia, SAP, S&P Global, Software AG, and TransUnion.
These vendors differentiate themselves through factors such as data breadth, analytical models, real-time automation, domain expertise, cloud readiness, and regulatory intelligence. The report also highlights emerging players that offer specialized capabilities around credit scoring, behavioural analytics, and AI-driven decisioning.
QKS Group’s proprietary SPARK Matrix™ delivers a detailed evaluation of CRTS vendors based on technology excellence and customer impact. The matrix provides a visual representation of vendor standing, enabling enterprises to compare strengths, innovations, and overall market positioning. The analysis highlights leading performers, innovators, and emerging competitors, offering strategic insights into vendor capabilities and decision-making support for financial institutions.
Vendor Profiles
The research includes comprehensive vendor profiles detailing product portfolios, key strengths, strategic focus areas, and technology advancements. These profiles equip enterprises with critical insights for selecting the right partner that aligns with their risk management goals and digital transformation strategies.
Digital Banking Services: SPARK Matrix Insights and Competitive Landscape
Overview
The global Digital Banking Services market is witnessing unprecedented growth, driven by the increasing adoption of digital-first strategies by banks and financial institutions worldwide. This market research provides an in-depth analysis of short-term and long-term growth opportunities, emerging trends, and the future outlook of digital banking. The study is designed to help service providers refine their growt... moreDigital Banking Services: SPARK Matrix Insights and Competitive Landscape
Overview
The global Digital Banking Services market is witnessing unprecedented growth, driven by the increasing adoption of digital-first strategies by banks and financial institutions worldwide. This market research provides an in-depth analysis of short-term and long-term growth opportunities, emerging trends, and the future outlook of digital banking. The study is designed to help service providers refine their growth strategies while enabling users to evaluate vendors’ capabilities, competitive differentiation, and market positioning.
Key Research Findings
Digital Banking Services are transforming traditional banking by providing seamless, automated, and convenient services through platforms such as websites and mobile applications. Core offerings include digital onboarding, transaction monitoring, open banking, loan origination, card issuance, digital wallets, payments, and both retail and corporate banking solutions. The integration of AI/ML, advanced analytics, and robotic process automation empowers banks to enhance risk management, improve customer engagement, and optimize operational efficiency.
Market Overview
The market is characterized by rapid innovation, with vendors focusing on platform scalability, regulatory compliance, and user-centric design. The demand for real-time services, personalized banking experiences, and cloud-based solutions continues to drive investments in digital banking platforms. Additionally, regulatory mandates and the increasing need for secure, resilient financial services are influencing market growth.
Competitive Landscape and Analysis
The competitive landscape of Digital Banking Services is dynamic and includes a mix of global and regional vendors offering differentiated capabilities. This research evaluates leading vendors—including Accenture, Aspire Systems, Atos, Birlasoft, Capgemini, CGI, Cigniti, Coforge, Cognizant, Comarch, Endava, Fujitsu, GFT, HCL Technologies, Infosys, Itransition, LTI Mindtree, Maveric Systems, Mphasis, NTT Data, Persistent Systems, Quinnox, Softtek, Sopra Banking, Tech Mahindra, Tietoevry, Virtusa, Wipro, WNS, and Zensar—through detailed competitive benchmarking.
Key Competitive Factors and Technology Differentiators
Vendors are increasingly differentiating through advanced analytics, AI-driven insights, automation, cloud-native architectures, and robust regulatory compliance. Emphasis on customer experience, platform flexibility, and speed of deployment remain key determinants of market leadership.
SPARK Matrix™: Digital Banking Services
The proprietary SPARK Matrix™ analysis highlights the relative market positioning and ranking of leading Digital Banking Services vendors globally. It provides insights into technology excellence, product innovation, and overall market impact, enabling organizations to make informed decisions when selecting a partner for digital banking transformation.
Vendor Profile
This research includes detailed vendor profiles, showcasing capabilities, offerings, strategic initiatives, and competitive positioning, providing a comprehensive guide for organizations navigating the rapidly evolving digital banking ecosystem.
