Search results for: 'Artificial Intelligence (AI) Software Market'

The COVID-19 pandemic marked a major global change, revolutionizing manufacturing. Political tensions, such as the US-China conflict and the Russo-Ukrainian war; economic uncertainties, such as high inflation rates and de-dollarization initiatives; and continuous supply chain disruptions force manufacturers to invest in technology to secure reliabl...

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 ...

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...

As manufacturers and industrial operators try to make operational data more accessible, interoperable, secure, and usable across enterprise environments, organizations are investing in industrial connectivity software that can connect heterogeneous OT assets, bridge legacy protocols, support edge-to-cloud data flows, and enable scalable industrial ...

This study examines the increasing use of artificial intelligence (AI) in quality management. The rapid advancement of AI has led to its use across sectors, particularly quality management, as is evident in the growth of predictive quality analytics and enterprise quality management systems (EQMS). With increasing competitive intensity, it has beco...

Industrial control and automation have been historically dependent on hardware devices and proprietary, vertically integrated systems. Shifting the centralization of logic and intelligence from hardware into software that can run on any capable device is a key step in improving productivity and flexibility in manufacturing. This shift also addresse...

Research Overview This Frost & Sullivan study analyzes the convergence trends of information technology and operational technology (IT/OT), changing buying behavior, influence of disruptive technologies, competitive intensity and impact of economic and mega trends in the global plant asset management (PAM) market. In addition to PAM software market...

Software-defined automation (SDA) represents a paradigm shift in industrial and manufacturing control systems that addresses traditional operational technology (OT) architectures' limitations. As proprietary, hardware-intensive automation systems reach the end of their life cycles, they increasingly hinder innovation, scalability, and adaptability ...

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 ...