Dataiku Named Top-Tier Software Vendor by APPS RUN THE WORLD in the APPS TOP 500 Market Report

Dataiku Strengths, Domain Expertise, and Key Differentiators

Dataiku’s core strength lies in its Universal AI Platform, which democratizes data science and AI, enabling both technical and non-technical users to collaborate effectively. Its no-code to full-code flexibility supports a wide range of use cases, from predictive analytics to generative AI applications, fostering enterprise-wide adoption. The platform’s robust integration with existing tech stacks, coupled with advanced governance and explainability features, ensures scalability and compliance.

Dataiku Recent Developments

Dataiku has solidified its position as a leader in enterprise AI, surpassing $300 million in annual recurring revenue in 2024, driven by robust adoption of generative AI solutions. The company launched Dataiku Optimizer for Snowflake, enhancing consumption monitoring and integration capabilities for cloud-based analytics. Additionally, the introduction of a generative AI tool for dynamic data storytelling has empowered organizations to derive actionable insights with greater efficiency. Strategic hires, such as Lynne Oldham as Chief People Officer, underscore Dataiku’s focus on scaling its workforce to meet growing demand.

Dataiku Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Dataiku applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Dataiku and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Dataiku AI Platform customers.

Dataiku Key Enterprise and Cloud Applications

Dataiku AI Platform

Dataiku Revenues, $M:

Dataiku Revenue Breakdown By Type, $M:

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Dataiku Revenues By Region, $M

Dataiku Direct vs Indirect sales

Dataiku Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified Dataiku Customers

No. of Dataiku Customers: 700

No. of Dataiku Enterprise Applications Customers: 700

No. of Dataiku Cloud Customers: 700

No. of Dataiku Cloud Subscribers: x

In 2024, Dataiku significantly broadened its international presence, reaching a milestone of serving over 700 organizations across the globe. The company's momentum was further highlighted through its flagship Everyday AI global event series and the annual Frontrunner Awards, where more than 100 clients—including industry leaders such as Johnson & Johnson, Novo Nordisk, Perdue Farms, and Rolls-Royce—publicly showcased how they are leveraging Dataiku’s platform to drive impactful AI initiatives within their operations.

Dataiku Market Opportunities, M&A and Geo Expansions

With over $1 billion in funding, Dataiku is well-positioned to accelerate product innovation, enhance its Generative AI capabilities, and expand its global footprint, enabling it to capitalize on rising enterprise demand for scalable and collaborative AI solutions.

Dataiku Risks and Challenges

Despite its strong market position, Dataiku faces risks from intensifying competition in the AI and analytics space, with rivals like Databricks and Alteryx vying for dominance. Macroeconomic pressures, which led to a reduced valuation of $3.7 billion in its 2022 Series F round, could constrain future funding or IPO prospects. Dependence on large enterprises for revenue exposes Dataiku to risks from budget cuts in economic downturns. Additionally, rapid advancements in AI technology require continuous innovation to maintain differentiation, and any failure to keep pace could erode market share. Robust governance remains critical to mitigate risks tied to data security and regulatory compliance.

Dataiku Ecosystem, Partners, Resellers and SI

Dataiku’s ecosystem thrives on seamless integration with a broad array of data sources, cloud platforms, and analytics tools, fostering flexibility for enterprises. Strategic partnerships with Snowflake, Teradata, and others enable optimized data processing and scalability, while the Dataiku Plugin Store offers over 100 plugins for specialized applications like NLP and recommendation systems. The platform supports multiple languages, including Python, R, and Spark, catering to diverse technical expertise. By fostering collaboration through its Datalab interface and AutoML capabilities, Dataiku creates a cohesive environment where data scientists, analysts, and business users drive innovation, supported by a global community of over 45,000 active users.

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.

Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).

For additional information on our methodologies, here's the link: