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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 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...

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints This F...

AI is not a new technology. In fact, AI and machine learning (ML) concepts have been around for more than a century. The comparatively recent (early 2020s) release of and commercial general availability of generative AI (GenAI) solutions have enabled, facilitated, and accelerated AI adoption, both in individual and enterprise contexts. Rapid AI ado...

The aerospace and defense industries have witnessed tremendous change in the past few years. Both sectors have seen a rising use of wearables. In the defense sector wearables are increasingly being used in the form of body-worn sensors for training and combat. Wearables are becoming ubiquitous in aerospace as well in the form of head-mounted displa...

AI has moved from being a standalone technology to a core building block that drives global business growth. Advancements in key AI technologies are happening at an exponential pace, constantly unlocking new capabilities and applications. AI adoption is becoming critical for global businesses to stay competitive and relevant. The rising adoption am...

As generative AI becomes deeply embedded in enterprise operations, fueling copilots, assistants, and automated agents, organizations face a wave of new and dynamic security risks. Traditional cybersecurity architectures are ill-equipped to address the fluidity, autonomy, and unpredictability of GenAI systems. This report provides chief information ...

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

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...