We mined CB Insights data and spoke with 50+ buyers of AI development platforms — including Databricks, Hugging Face, and Scale AI — to understand how they’re deploying AI models, what they’re paying, and what the future holds for the landscape.
Generative AI has marked a new era in AI development.
Increasingly sophisticated models are opening up new applications that enterprises are eager to harness.
AI development platforms — which enable enterprises to manage the AI lifecycle, from data preparation to model deployment and continuous monitoring — are responding to the call.
These one-stop shop platforms, from enterprise machine learning (ML) players (Dataiku, H2O.ai) to big tech products (Google Cloud Vertex AI, Amazon SageMaker and Bedrock), are jumping on the opportunity to adapt their offerings for the genAI era and capture more enterprise AI spend.
We mined CB Insights valuation, headcount, and financing data, as well as 50+ buyer interviews, to map the evolving landscape and analyze its future.
In the 32-page report, we cover:
- The AI development platform market landscape: GenAI is putting pressure on legacy ML companies while new players muscle in.
- How enterprise buyers are evaluating the ROI of their AI tool spend: Productivity gains and cost savings are in focus.
- The future of enterprise AI development: From small language models to big tech’s advantages in the landscape, we cover the opportunities and challenges both enterprises and vendors face.
- Sample buyer case studies by industry: How buyers including Fortune 500 companies are leveraging AI across financial services, manufacturing, and healthcare.
Download the full report to get all of the data.
