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The Economic Trend Opportunity Profiles (TOPs) series captures a structural shift in the global economy where national competitiveness is increasingly defined by control over AI capabilities, digital infrastructure, industrial capacity, and secure data ecosystems. Across AI-led productivity, smart manufacturing, digital risk, sovereign compute infr...

This study on the global industrial mixers market provides an in-depth analysis of the key market trends, growth opportunities, competitive landscape, and revenue forecasts through 2030. It evaluates the market across mixer types, end-use industries, and geographic regions, while assessing the factors influencing market demand and technological adv...

11 Sep 2026  |  Global  |  Market Research

Industrial Networking and Connectivity Market, Global, 2025–2032

Industrial Infrastructure is Experiencing Transformational Growth

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The industrial networking and connectivity market is becoming increasingly critical as manufacturers and industrial operators seek to modernize operations, improve resilience, and unlock greater value from operational data. As digital transformation initiatives expand, organizations are investing in networking infrastructure and connectivity soluti...

The Frost Radar™ on electronic computer-aided design (ECAD) offers a competitive benchmark analysis derived from Frost & Sullivan’s CAD Growth Opportunities report. It ranks nine companies on their growth potential and ability to innovate.Product design has become more complex in recent years, and manufacturing companies are demanding new tools and...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

This Frost Radar™ benchmarks supervisory control and data acquisition (SCADA) platforms for industrial control environments, evaluating leading vendors on innovation and growth. The analysis examines how platforms are evolving to support brownfield modernization, secure remote access, multisite standardization, open architectures, IT/OT integration...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Advanced robotics and autonomous systems (RAS) are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including healthcare, manufacturing, automotive, and agriculture. Continuous advancements in hardware and AI-based decision-making are reshaping the capabi...