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The global CAD and modeling software market focuses on the opportunities driving this mature market. Growth drivers such as infrastructure development in emerging regions and improved productivity of users via better data sharing and collaboration, and improved workflow efficiency continues to be Important to advanced CAD users have been factored i...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth prospects in advanced cybersecurity and cloud-native protection ecosystems. It emphasizes innovative platforms and techniques for in-depth code and malware scrutiny, self-governing safeguards in distributed cloud setups, robust user and machine identity ...

The payment ecosystem was targeted in 2014 by many different types of attacks, including security and data breaches exploited for the purpose of collecting sensitive information. This is a global threat and no countries can argue to be completely safe. A global security initiative and common rules could have a positive impact and help deter fraudst...

The explosion of connected devices and Internet of Things (IoT) has resulted in the generation of a huge amount of data. Digital transactions are also increasing, and the need to authenticate two entities before exchanging data is a necessity. As a result, Public Key Infrastructure (PKI) appears as a relevant solution to create confidence and trust...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights emerging cybersecurity innovations, focusing on AML, fraud prevention, runtime application security, and zero trust architecture. These solutions reduce manual threat management, enhance identity protection, and utilize machine learning for real-time detection and res...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

The 2025 edition of privacy-enhancing technologies (PETs) explores cutting-edge innovations that redefine secure data collaboration and regulatory compliance across industries. PETs enable organizations to analyze, process, and share sensitive data without compromising privacy—using advanced methods such as differential privacy, federated learning,...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights breakthrough innovations across AI-driven threat detection, extended detection and response (XDR), behavioural analytics, deception technologies, and human-centric security platforms. Notable developments include GenAI agents for autonomous threat sweeping, post-quant...