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Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

AI has moved from being a standalone technology to a core building block that drives global business growth. Advancements in key AI technologies, such as machine learning, deep learning, natural language processing (NLP), and computer vision, are happening at an exponential pace, constantly unlocking new capabilities and applications. AI adoptio...

In this report, Frost & Sullivan covers construction's global and future aspects, focusing on upcoming trends. The study details opportunities for mobility, industrial, fast-moving consumer goods (FMCG), retail, information and communications technology (ICT), business and financial services, and supply chain and logistics. It offers industry sta...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth in AI-driven intelligence, synthetic data, multi-modal AI, intelligent document processing, workflow automation, finance orchestration, compliance automation, embedded finance, cross-border payments, blockchain-enabled trade finance, tokenization, priv...

This study provides a detailed overview of the global diabetes care device industry, which is witnessing a significant increase in demand due to the growing prevalence of diabetes across regions. The market, comprising both established players and emerging start-ups, is the site of fierce competition. OEMs are developing innovative, AI-equipped tec...

AI has moved from a standalone technology to a core building block that drives global business growth. AI adoption is increasingly critical for international businesses to stay competitive. Improved efficiency and productivity and the need to gain a competitive edge drive the rising adoption of AI among businesses. Understanding AI use cases and a...

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...

Artificial intelligence (AI) has the potential to deliver substantial benefits to both economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent delays. Therefore, it is important to analyze organizati...

15 Nov 2016  |  Global  |  Market Research

Global Enterprise Learning Management Systems (LMS) Market, Forecast to 2022

Changing Workforce Dynamics and the Need to Address High Attrition Rates Drive Adoption as Companies Look to Provide Opportunities that Help Employees

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Enterprise learning management systems (LMS) serve as an excellent means to deliver multimedia and interactive course content to today’s generation of digitally connected employees. The global LMS market crossed $1.63 billion in revenue in 2016 and is expected to grow to $3.20 billion at a compound annual growth rate (CAGR) of 11.9%. This market is...