Search results for: 'knowledge driving intelligent tools'

Intelligent automation is driven by artificial intelligence (AI) technologies. In industrial operations, AI acts as the catalyst to increase the productivity in the operations. Three types of artificial technology are identified as a game-changer in industrial operations in which these technologies are digitalizing and streamlining the value chain ...

This study examines the future of the process automation market, analyzing the shift from traditional hardware-centric systems to software-defined, AI-driven autonomous operations within process and hybrid industries. The research employs ISA-95 technology layer segmentation to assess market evolution and competitive dynamics across oil & gas, chem...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

07 Oct 2025  |  Global  |  Market Research

Industrial Hybrid AI Market, Global, 2024–2029

Industrial Hybrid AI Market is Experiencing Transformational Growth due to the Urgency for Adaptive Intelligence in Critical Decision-Making

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Hybrid AI is an integrative approach reshaping how AI is applied to mission-critical applications. Its potential lies in addressing the critical limitations of current AI solutions, with key market drivers including enhanced interpretability and explainability, greater application flexibility, and improved scalability and efficiency. Strong growth ...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to near-infrared in-situ quality assurance technologies enabling real-time monitoring and defect detection during metal additive manufacturing; AI-driven multi-sensor monitoring systems integrating process data to improve additive manufacturing quality...

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...

17 Jan 2023  |  Global  |  Market Research

Regulations and Evolving Markets Drive Growth in the Quality Management Software Industry

The Enterprise-wide Capacities of Quality Management Software Drive Growth Opportunities

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As the QMS Systems market grows at a vertiginous pace, Frost & Sullivan provides a thorough, in-depth analysis of the dynamics shaping the industry to companies seeking entry as well as those who have already joined the fray. Quality applies to the entire product life cycle. It has implications across the entire enterprise value chain, so there...

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...