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Navigating the generative AI vendor landscape

  • Artificial Intelligence
  • Robotic Process Automation
  • Chatbot
  • ChatGPT
  • Fine-Tuning
  • Foundation Models
  • GenAI
  • Generative AI
  • Large Language Models
  • LLMs
  • Training Data
  • Suruchi Dhingra
CXOs are becoming increasingly aware of the potential of generative AI to reshape their businesses. Many are evaluating its use in their business applications and have started experimenting with the technology to automate processes such as summarising and extracting information from a large volume of content, facilitating call centre support, enhancing personalised content creation, and more. The most effective way to realise the full potential of generative AI is through an ecosystem of partners that have access to the technology and expertise in the area. But with so many vendors entering the market and with the wide range of options available, companies are often left confused. Amidst the crowded vendor market, organisations need a clear and informed approach to effectively navigate through this complex vendor landscape. This report contains an overview of the main options available in the market. The choice of vendors depends on whether companies prefer to build generative AI systems from scratch or purchase pre-existing solutions to achieve their desired outcome. Broadly, generative AI vendors can be grouped into four categories: 1) Foundation model or Large Language Model (LLM) providers, 2) Infrastructure providers, 3) Software providers, and 4) IT service providers (including system integrators). In this report, we discuss the generative AI offerings offered by each of these sets of vendors in the market.

CXOs are becoming increasingly aware of the potential of generative AI to reshape their businesses. Many are evaluating its use in their business applications and have started experimenting with the technology to automate processes such as summarising and extracting information from a large volume of content, facilitating call centre support, enhancing personalised content creation, and more. The most effective way to realise the full potential of generative AI is through an ecosystem of partners that have access to the technology and expertise in the area. But with so many vendors entering the market and with the wide range of options available, companies are often left confused. Amidst the crowded vendor market, organisations need a clear and informed approach to effectively navigate through this complex vendor landscape.

This report contains an overview of the main options available in the market. The choice of vendors depends on whether companies prefer to build generative AI systems from scratch or purchase pre-existing solutions to achieve their desired outcome. Broadly, generative AI vendors can be grouped into four categories: 1) Foundation model or Large Language Model (LLM) providers, 2) Infrastructure providers, 3) Software providers, and 4) IT service providers (including system integrators). In this report, we discuss the generative AI offerings offered by each of these sets of vendors in the market.

Generative AI vendor architecture.jpg

  • ABB
  • Accenture
  • Amazon
  • Anthropic
  • Amazon Web Services
  • Beam
  • Cerebras
  • Cohere
  • DALL-E
  • Google
  • HCLTech
  • IBM
  • Infosys
  • Intel
  • Lightning
  • Mosaic
  • Meta
  • Microsoft
  • MidJourney
  • Nvidia
  • OpenAI
  • Oracle
  • Replit
  • Salesforce
  • Segmind
  • ServiceNow
  • TCS
  • Wipro
  • Artificial Intelligence
  • Robotic Process Automation