Google Emerges as Top Large Language Model Provider

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Google has emerged as the top large language model (LLM) provider according to a recently released report by data analysis company GlobalData.

The report, LLMs Competitive Landscape Assessment, found that the generative AI market has seen explosive growth over the past 18 months, evaluating LLMs essential for enterprises.

GlobalData identified the most significant large language models and researched, analysed, and scored them based across six buying criteria. The report assesses and ranks the eight leading companies on the strength of their core model technology including context windows, multimodal and multilingual capabilities; vertical and horizontal use cases; AI Guardrails; ecosystem; professional services and go-to-market strategies.

Google has been named ‘Leader.’ OpenAI, Microsoft, and IBM have been ranked ‘Very Strong,’ Amazon, Anthropic, and Meta have been ranked ‘Strong,’ and Cohere is ranked as ‘Competitive’.

“Choosing the right large language model can be a challenging task for enterprises,” said GlobalData Senior Analyst Beatriz Valle. “The generative AI market is notoriously difficult to evaluate, and the constant media coverage of improvements in model size, context windows, or performance benchmarks only adds to the confusion. Enterprise buyers must also look at other indicators. For example, whether a vendor has a clear strategy with practical use cases that drive a solid return on investment on business applications.”

The Generative AI market encompasses both big cloud computing providers such as Google, Microsoft and Amazon, and smaller startups vying for a piece of the enterprise and B2B/B2C market, including OpenAI, Anthropic and Cohere. The latter play a significant role in advancing generative AI technology and challenging big tech incumbents in the field, creating more customisable and agile models.

However, the established players are able to make the essential investments to cover high computing costs, and have huge customer bases to deploy the technology via partnership ecosystems and professional services. They also have greater resources devoted to governance, data privacy, cyber security concerns, and ethical and legal considerations.

“The world is witnessing the unfolding of an AI-driven economy, one which will redefine industries and revolutionise how humans live and work,” said GlobalData Research Director Charlotte Dunlap. “Yet enterprises, overwhelmed with the mega investments and explosive growth taking place in this newly emerging market, struggle to define their own strategies around LLM/Generative AI. Enterprises need to answer the question, what are the solutions in the generative AI market that will make a substantial difference in driving profitability and efficiencies?”

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