Find stats on top websites
Industry Landscape
The MLOps and AI Data platform industry is experiencing rapid growth, driven by the increasing adoption of AI/ML in enterprises. The focus is on operationalizing AI at scale, enabling real-time predictions, and supporting generative AI applications. Solutions like feature platforms are critical for managing complex data pipelines and ensuring data consistency for production-ready models.
Total Assets Under Management (AUM)
MLOps Platform Market Size in United States
~$1.5 billion (2023, US)
(30-40% CAGR)
- Cloud-based solutions drive growth.
- Demand for automation and scalability.
- Increased MLOps adoption in enterprises.
Total Addressable Market
7.5 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Foundation Models as a Service (FMaaS)
The growing availability of powerful pre-trained foundation models through APIs will democratize access to advanced AI capabilities, shifting focus from model training to effective prompt engineering and fine-tuning.
AI Ethics & Explainable AI (XAI)
Increasing emphasis on transparency, fairness, and accountability in AI systems will drive demand for tools and practices that enable understanding, auditing, and mitigating bias in ML models and their data.
Edge AI for Real-time Inference
The deployment of AI models closer to data sources at the edge will enhance real-time inference capabilities, reduce latency, and improve data privacy, crucial for applications like autonomous vehicles and industrial IoT.
Impactful Policy Frameworks
NIST AI Risk Management Framework (AI RMF 1.0, 2023)
The National Institute of Standards and Technology (NIST) AI RMF provides voluntary guidance for managing risks associated with AI systems, focusing on trustworthy AI development and deployment.
It encourages companies like Tecton to integrate risk management, transparency, and accountability features into their platforms, potentially influencing how ML features are governed and audited.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
President Biden's Executive Order outlines comprehensive directives for federal agencies on AI safety, security, innovation, and privacy, urging responsible AI development.
This order will likely increase demand for MLOps solutions that ensure data provenance, model transparency, and robust security for AI systems, impacting how Tecton's clients manage their AI data pipelines.
Proposed American Data Privacy and Protection Act (ADPPA, currently in Congress, last updated 2022)
This proposed federal privacy law aims to establish national standards for data privacy, including provisions for data minimization, algorithmic discrimination, and consumer rights over personal data.
If enacted, it would require Tecton's customers to implement stricter data governance and privacy controls for the features they use, potentially driving demand for features within Tecton's platform that help ensure compliance.
Transform Your Ideas into Action in Minutes with WaxWing
Sign up now and unleash the power of AI for your business growth
