IT analyst firm GAI Insights offers the first known buyer’s guide to large language models (LLMs) and GAI, reviewing 29 vendors across common enterprise GAI use cases and identifying seven emerging leaders.
OpenAI is still leading the pack as the industry is "splintering into sub-categories."
The six other vendors identified by GAI are Deepset, Glean, IBM, LangChain, LlamaIndex and SambaNova.
Vendors were rated based on various factors, including product and service innovation, quality of technical and management team experience, track record in launching products and partnerships, and defined target buyers.
Nvidia continues to dominate the market share with 85% share, and will continue to offer products up and down the hardware and software stack.
GAI Insights projects that Gen AI is the leading budget priority for CIOs and CTOs amidst a 240x drop in the cost of AI computation in the last 18 months, and expects 33% of companies to push models into production in 2025.
The firm also noted a current trend toward proprietary large language models, as enterprises prioritize data privacy, control, and regulatory compliance. However, GAI Insights anticipates a boom in vertical-specific small language models emerging for specific use cases.
The top use cases for Gen AI include customer support, summarization, text generation, coding, and contract management.
AI agents have yet to be fully defined and those in deployment are confined to internal applications and small-scale deployments. GAI Insights noted many hurdles to overcome including, among others, unregulated spread, agentic AI making unreliable or questionable decisions.
GAI Insights advises that, to get started with AI initiatives, enterprises should accept that the enterprise IT stack will continue to change drastically over the next 15 years and designate an executive to oversee integration, develop a center of excellence and coordinate projects.