KNIME Named a Notable Vendor in Forrester’s 2026 AI Platforms Landscape Report

KNIME has been named a Notable Vendor in Forrester’s The AI Platforms Landscape, Q1 2026 Report. KNIME believes its inclusion highlights its leading role in helping enterprises design, build, deploy, and govern predictive, generative, and agentic AI applications across the full data lifecycle.

For KNIME, being recognized as a notable vendor in Forrester’s AI landscape report underscores the strength of our vision and the impact AI solutions built with KNIME are already having in the market for our customers.

Trevor Kaufman, CEO of KNIME

Data, AI, and analytics professionals reference Forrester to understand the value they can expect from a platform like KNIME. 

In its AI Landscape Report, Forrester explicitly provided an overview of platforms that support the full AI development lifecycle, enterprise governance, and production deployment, since these capabilities are critical for organizations ready to move from experimentation to scaled deployment of solutions.

Forrester’s methodology is designed to give organizations a clear view of the ecosystem, highlighting vendors that demonstrate differentiated value and are actively shaping the direction of the market. Inclusion signals that a vendor has established meaningful traction and offers capabilities aligned with emerging enterprise needs.

To access the report, click here. The report is available to Forrester subscribers or for purchase.

KNIME’s goal is to ensure that enterprise AI solutions are trustworthy by design. 

While many organizations have predictive AI solutions in place, executives and data teams have struggled to gain sufficient risk assurance to deploy generative and agentic AI solutions at scale. 

According to McKinsey, only 10% of businesses claim to have refined their agent experiments enough to scale them. And 76% of execs report that governance has not kept pace with rising AI use across the business. 

Rather than treating governance as an afterthought, KNIME embeds transparency, control, and security directly into the development experience. Visual workflows make every transformation, tool call, and data access step inspectable and auditable. 

• KNIME’s agent building framework creates a separation layer between LLMs and enterprise databases, warehouses, or lakes, which reduces the risk of uncontrolled data exposure and runaway token consumption.
  
• KNIME’s Agent Chat View node allows users to interact directly with agents while inspecting the real-time steps taken to produce responses. More importantly, agents built in KNIME can show their “workings” through transparent, inspectable visual workflows that are audit-ready.
  
• KNIME’s AI Gateway allows organizations to monitor LLM usage, enforce access controls, and apply guardrails consistently. The result is agents that are not only powerful and capable — but reliable, explainable, and secure.

While KNIME supports AI agent-building it also supports the full spectrum of analytics work, including predictive and generative AI.

KNIME’s low-code/no-code visual workflows have been a hallmark of its product since inception. With the emergence of agentic AI, visual workflows have become a common language industry-wide for building and expressing agent logic. 

Not only are visual workflows intuitive, but they are also easier to debug, and also explainable and transparent. They enable domain experts, analysts, and data scientists to collaboratively design and deploy AI systems based on a common understanding, rather than relying on code-only solutions.

With connectors to all the latest LLMs and a suite of powerful nodes to build predictive, generative, and agentic AI solutions, KNIME offers up a fully-stocked toolbox for solution builders. 

We are committed to building tooling that helps executives finally feel confident to deploy generative or agentic AI solutions, without compromising on innovation potential.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .