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Google Cloud Unclaimed

Cloud Service Providers

cloud.google.com

Google Cloud is a cloud platform that helps developers and enterprises build, deploy, and scale AI-enabled applications securely.

Google Cloud is Google's cloud computing platform that enables organizations to build, deploy, and manage applications and data workloads with security, scalability, and intelligent insights. It serves developers, data scientists, IT teams, and enterprises across industries, offering capabilities for computing, storage, data analytics, and artificial intelligence. The platform emphasizes speed, reliability, and governance, helping customers innovate with AI, modernize their applications, and leverage analytics to inform decisions. Through a cloud-native stack and managed services, Google Cloud supports developers—from experimentation to production—providing flexible infrastructure, zero-downtime operations, and strong security controls. The mission is to empower customers to transform their businesses by accelerating digital transformation, reducing time-to-value, and enabling collaboration across teams with integrated data, applications, and AI-enabled tools. The platform emphasizes interoperability, developer tooling, and a scalable ecosystem for partners and customers alike.

To empower organizations to transform their operations through secure, scalable cloud infrastructure, data analytics, and AI capabilities that enable rapid innovation.

What we offer

Vertex AI

Empower your team to build and deploy intelligent AI solutions effortlessly.

cloud.google.com/vertex-ai

Looker

Empowers organizations to transform data into actionable insights through robust analytics and visualization tools.

cloud.google.com/looker

Gemini Code Assist

Streamline software development with AI-driven code generation and real-time recommendations.

codeassist.google/

BigQuery

Run vast analytical queries cost-effectively and efficiently with BigQuery's powerful data warehousing tools.

cloud.google.com/bigquery

Cloud Storage

Store and manage any data type securely with scalable cloud storage solutions.

cloud.google.com/storage

Cloud SQL

Effortlessly manage your relational databases with high availability and seamless scaling for MySQL, PostgreSQL, and SQL Server.

cloud.google.com/sql

Market segments

Market size by segment

Growth potential (CAGR)

Cloud data warehouse

18 Billion USD12.5% CAGR

Managed, scalable analytics data warehouse for large-scale and real-time SQL queries, high-performance analytics, and BI workloads.

Business intelligence and data visualization

32.67 Billion USD8.3% CAGR

Capabilities to explore, visualize, and share data-driven insights, create dashboards, and embed analytics across cloud data sources.

Managed relational database

70.74 Billion USD12.3% CAGR

Fully managed MySQL, PostgreSQL, and SQL Server hosting with automated maintenance, migration support, and high availability for transactional applications.

Object storage and data lake

20.18 Billion USD23.5% CAGR

Durable object storage for unstructured data, backups, archival, and scalable retrieval with security and compliance controls for analytics and applications.

Generative AI and agent development

8 Billion USD46.3% CAGR

Platform and tooling to build generative AI applications and conversational agents, including foundation model access, no-code agent builders, code generation, and secure data grounding.

More information about our offering

Vertex AI

A fully managed AI platform for building AI agents and generative AI applications, enhanced by Gemini with access to over 200 foundation models and an ecosystem of AI partners. It includes a no-code agent builder and powerful analytics integration.

  • Build Intelligent Solutions
    Utilize Vertex AI to develop smart applications that adapt to user inputs, providing tailored solutions using advanced AI capabilities.
  • Connect Data Securely
    Facilitates the access of agents to essential business data, enhancing their operational context and effectiveness.
  • Streamline Code Development
    Leverage AI capabilities to enhance coding efficiency, reducing development time and improving code quality through intelligent suggestions.
  • Unlock Data Insights
    Combine powerful analytics tools with AI to gain actionable intelligence from your data, driving informed decision-making.
  • Enhance Customer Experience
    Deploy AI-driven virtual agents to provide instant support and conversational engagement, improving satisfaction and efficiency.

Looker

Looker is a data analytics and business intelligence platform designed to explore, visualize, and share insights from data across Google Cloud. It simplifies the process of data analytics for users by providing a unified experience for generating insights and making data-driven decisions.

  • Facilitates Informed Decisions
    Looker offers a comprehensive BI solution that integrates various data sources, enhancing the decision-making process with data insights and metrics.
  • Streamlines Data Management
    Looker provides a smooth integration experience with Google Cloud services, enabling users to leverage existing data efficiently.
  • Enhances Data Accessibility
    Users can build interactive dashboards with Looker to visualize data trends and share insights easily across teams.

Gemini Code Assist

AI-powered code generation, recommendations, and code completion to accelerate software development. It integrates within the Gemini and Google Cloud tooling ecosystem.

  • Boost Development Speed
    Utilize advanced AI techniques to create code snippets, reducing manual coding time significantly.
  • Seamless Tooling Integration
    Integrate effortlessly with existing Google Cloud tools to enhance collaborative development workflows.

BigQuery

Managed analytics data warehouse for large-scale queries, offering scalable analytics with a lower total cost of ownership.

  • Execute Queries Seamlessly
    Effortlessly handle extensive datasets, enabling in-depth analysis and quicker insights without compromising performance.
  • Analyze Streaming Data Instantly
    Utilize real-time data processing capabilities to obtain immediate insights, enhancing decision-making efficiency.

Cloud Storage

Object storage for any data type and size, with options for online and offline data transfer. Easily manage and scale your storage needs with secure access to your data.

  • Store Any Data Type
    Cloud Storage allows seamless storage of diverse data types, adapting to changing needs without limits.
  • Secure Your Data
    Provides robust security measures to protect your data from unauthorized access and breaches.

Cloud SQL

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server, with migration support via Database Migration Service.

  • Reduces Management Overhead
    By using Cloud SQL, users can focus on application development without worrying about the complexities of database management.
  • Enhances Reliability
    Cloud SQL can be configured for high availability, ensuring minimal service disruption.

References

Methodology and sourcing behind the figures shown above.

Cloud data warehouse

Estimate based on multiple industry reports in the provided search results. Exactitude Consultancy and Credence Research both report a global cloud/multi-cloud data warehouse market around USD 18.0 billion in 2024 with projected CAGRs of ~12.3–12.5%; I use that cluster as the primary signal and adopt a 12.5% CAGR for growth potential.

Business intelligence and data visualization

Used recent industry reports in the search results. Market Research Future and Zion estimate the global Business Intelligence software market at ~USD 31–33B (2023–2024). Data visualization is a smaller sub‑market (~USD 6.8B in 2025) with ~8.3% CAGR; big‑data market growth (~9.7% CAGR) supports downstream BI/visualization demand. I selected a 2024 market-size of USD 32.67B (MRFR) and a blended growth potential of ~8.3% (midpoint between BI and data‑visualization forecasts, supported by big‑data growth).

Managed relational database

Estimated size and growth anchored to market-research reports specifically addressing relational/relational database services (RDS). Credence and Market Research Future report the relational/RDS market at ~USD 70.7B in 2024 with mid-teens decade-long growth; broader DBMS and cloud-database reports (FortuneBI, Coherent) show larger overall DBMS markets and higher cloud-specific CAGRs, supporting continued strong growth for managed relational services. Chosen estimate (USD 70.74B, CAGR 12.3%) follows RDS-focused figures while acknowledging faster growth in cloud database subsegments.

Object storage and data lake

Estimates are based on data-lake market reports in the provided results: both Scality and MRFR cite ~USD 20.1–20.18B market size in 2025. MRFR projects a high growth runway (CAGR ~23.5% through 2035) driven by unstructured data growth, lakehouse adoption, and AI training-data demand. Supplemental reports show similar multi-year growth (≈20% CAGR to 2033) while object-storage tooling (a narrower segment) shows lower CAGR (~5.1%), indicating most growth attribution is to the broader data-lake/cloud-lake market.

Generative AI and agent development

Primary market-sizing comes from industry reports on the AI agents / agent platform segment that directly match the requested scope (MarketsandMarkets; Precedence). Both report a current market around USD 7.8–7.9B (mid-2020s) and very high projected CAGRs (~44–46%) as agentic and generative AI tooling adoption accelerates. Broader generative-AI studies (Bloomberg) and investment/banking analysis (Goldman Sachs) provide context that generative AI and agent-driven software expansion create a much larger addressable market, supporting the high growth assumption for platforms and tooling.

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