Google is a Leader in the 2024 Gartner® Magic Quadrant for Analytics and Business Intelligence Platforms

We are thrilled to share that Gartner® has named Google a Leader in the 2024 Magic Quadrant™ for Analytics and Business Intelligence. We believe this is a testament to our strategy of delivering innovative business intelligence offerings across ad-hoc, governed, and embedded analytics, as well as our vision for integrating AI to enable our customers to do even more with their data.

Download the complimentary 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms.

Since welcoming Looker to Google Cloud in 2020, we have been focused on delivering a best-in-class analytics and business intelligence platform designed for both self-service flexibility and the most mission-critical data environments, and that runs on any cloud and for any industry. 

In the past year, Google’s dramatic innovations in the world of AI have transformed how users can chat with their data, empowered users with more ways to extend their data workflows, and collaborate more easily. By tightly integrating across Google Workspace, BigQuery and Vertex AI, we are realizing our goal of accelerating our customers’ ability to gain insights.

Intelligent data you can trust to build your business

One of Looker's core defining features is its semantic layer, which significantly enhances the accessibility of your data. The Looker Modeling Language (LookML), is used in Looker to create semantic data models that provide a unified business representation of data, translating complex technical terms into business-friendly language. With it, customers can interact with their data using familiar concepts, regardless of the underlying data structures or sources. Interacting with data is easy, with different experiences to meet different user needs, including Looker, Looker Studio, Connected Sheets, and integrations with third-party tools like PowerBI. 

As AI disrupts and expands our ability to interact with data, Looker’s foundational semantic layer is more important than ever, with its ability to ground foundation models in a data model that powers intuitive and trusted conversations. Additionally, Looker’s Google-easy dashboarding coupled with best-in-class Google AI delivers self-service that accelerates decision-making, fosters a data-driven culture, and unlocks the true potential of data within an organization. 

With Gemini in Looker, users are able to chat with their data in new ways, including:

• Natural language conversations: Users can ask questions about their data in plain language, and Looker's generative AI can interpret the queries and generate relevant and intuitive responses.

• Automated insights: Gemini in Looker can automatically identify patterns, trends, and anomalies in data, providing users with valuable insights without manual effort.

• Data storytelling: Users can automatically receive compelling narratives and visualizations that help them communicate their data findings effectively.

• Code generation: Gemini in Looker can generate code snippets for custom calculations and model creation, saving users time and effort.

Composability: Enabling tailored data experiences

Looker goes beyond traditional BI tools with a composable data platform that helps customers create custom data applications that scale as more people use them. With Looker, customers are creating new revenue streams with analytic data products that match their brand profile, backed by Looker’s secure and real-time analytics foundation and API extensibility for programmatic management of their content, users and data. Looker’s composability helps customers go beyond BI, with data-driven workflows, alerts, portals, applications and more.

Looker's composability offers several benefits:

• Flexibility: Organizations can go to market quickly with a new data product by whitelabeling Looker, or create entirely custom data experiences by leveraging Looker’s iFrame and APIs. 

• Scalability: Looker’s modular architecture enables easy expansion and customization, accommodating growing data volumes and evolving analytical requirements.

• Reusability: Looker’s semantic layer lets business logic be reused across different data experiences, reducing development time and effort.

• Collaboration: Git integration and version control fosters collaboration between technical and non-technical users, allowing them to co-create data solutions.

Deep ecosystem integration and growing market momentum

We are proud to work with customers like UPS, Supermetrics, Veo, PrimaryBid, Trendyol and many others, who rely on Looker for modern business intelligence and data analytics capabilities that are designed for the new era of AI.

We also continue to invest in integrations across the Google ecosystem for smoother and more powerful customer experiences, including with:

• Workspace: Our customers can be most productive in the places they are most comfortable doing work. Connected Sheets for Looker offers the ability to move from Google Sheets to Looker Studio in just one click. You can also schedule reports to Chat & Gmail, and automatically generate slide presentations in Gemini for Looker.
• Vertex AI: Looker extensions integrate directly with Vertex AI, for powerful custom AI workflows and advanced analytics within customers' Looker instances. 
• BigQuery: Looker and BigQuery together are a dynamic data analytics powerhouse, transforming raw information into actionable insights that drive business growth.

We believe Google’s recognition as a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms is a testament to its innovative approach, comprehensive capabilities, and commitment to customer success. With its semantic layer, support for generative AI, and composability, Looker helps organizations unlock the full potential of their data and drive data-driven decision-making across the enterprise.

To download the full 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms report, click here, and for more information on Looker see here.

^{Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, Kurt Schlegel, et al, 20 June 2024}

^{GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.}

^{Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.}

^{This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Google.}