Google Cloud

Unternehmensdaten

Offizieller Name

Google LLC

Einheitentyp

BUSINESS_UNIT

Hauptsitz

United States

Marktrolle

B2B SaaS Provider

Offizielle Website

cloud.google.com

Was Google Cloud macht

The company operates a B2B cloud platform model. It provides core infrastructure services, managed developer platforms, data and analytics products, AI tooling and enterprise security capabilities through a unified cloud ecosystem. Value is created by giving organisations scalable computing, storage, analytics and AI services without requiring them to build or operate equivalent infrastructure internally. Revenue compounds as customers adopt more workloads, move data into the platform, standardise on adjacent tools such as analytics and security, and expand committed cloud spend over time.

Strategische Einordnung

KI-gestützte Einordnung aus der bestehenden Unternehmensrecherche; Interpretation und belegte Fakten sind zu unterscheiden.

Google Cloud is the enterprise cloud computing division operated under Google LLC and owned by Alphabet Inc. It sells infrastructure, data, analytics, AI, developer, security and managed services to business customers under the Google Cloud brand. Its portfolio spans compute, storage, databases, data warehousing, business intelligence, conversational AI, enterprise AI applications, code assistance, content delivery and security operations, with complementary consulting services through Mandiant. The business makes money through a hybrid model of usage-based cloud consumption and subscription software. Customers pay for compute, storage, data processing, network delivery, managed platform usage and SaaS licences, while larger organisations also buy enterprise commitments and security consulting. Its primary buyers are enterprises, developers, data teams, IT leaders, security teams and business functions adopting cloud and AI at scale.

Geschäftsmodell und Monetarisierung

Google Cloud monetises through metered consumption for infrastructure and platform services, including compute time, storage, database usage, data processing, network delivery and AI or API usage. It also sells subscription-style software for products such as enterprise AI applications and analytics, enterprise contracts with committed-use pricing and discounts, and service fees for expert security and consulting engagements. This creates a blended commercial model of pay-per-use, software subscription and professional services.

Cloud infrastructure and platform consumption

Pay-per-Use

Enterprise AI and analytics software

Software Subscription

Data processing, warehousing and query workloads

Pay-per-Use

Security consulting and incident response

Service Fee

Produkte und Fähigkeiten

Für diese Ansicht liegen keine Produkte mit zugeordneten Quellen vor.

Programmatic Stack und Registerdaten

Registereinträge und beobachtete technische Daten belegen keine Zertifizierung, Rechtskonformität oder tatsächliche Nutzung.

Produkte und Marktkategorien

Tochtergesellschaften und Akquisitionen

• Looker

  Google Cloud business intelligence and embedded analytics platform.

Zuletzt erfasste Signale

Datumsangaben beziehen sich auf die Quellenveröffentlichung. Ältere Einträge sind historischer Kontext, kein Beleg für ein neues Ereignis.

• Anthropic Launches Claude Opus 5.5 Despite Slowdown Call

  2026-09-22

  2 QuellenTrending Topics (DACH/CEE Innovation & Tech)·Trending Topics (DACH/CEE Innovation & Tech)

  AI Model Launch · Erfasster Impact-Score: 4/5

  Anthropic has released Claude Opus 5.5, its new flagship AI model and the first in the 5.5 family, which tops the Artificial Analysis Intelligence Index with a score of 58, the highest recorded. It leads in six out of ten benchmarks, including Humanity's Last Exam and SciCode, and surpasses OpenAI's GPT-6 Astra on Terminal-Bench 4.0 in Anthropic's tests. Priced 20% lower for input/output tokens and 60% lower for cache reads, it promises a 40% cost reduction for typical workloads, though higher output token usage may offset savings. The launch follows CEO Dario Amodei's essay calling for an industry slowdown, sparking criticism of contradiction. Anthropic cites external safety evaluations and has implemented security restrictions. Available on Claude apps, AWS, Google Cloud, and Microsoft Azure, with smaller models to follow.

  • Claude Opus 5.5 scores 58 on the Artificial Analysis Intelligence Index, the highest recorded.
  • Pricing is reduced: $4 per million input tokens, $20 per million output tokens, and cache reads at $0.20 per million tokens.

• Kühne+Nagel wins multibillion-dollar Amazon AI logistics deal

  2026-09-21manager-magazin.de

  Infrastructure · Erfasster Impact-Score: 2/5

  Swiss logistics group Kühne+Nagel (K+N) is expanding its partnership with Amazon, securing a long-term agreement to provide logistics services for Amazon Web Services (AWS) data center infrastructure, including construction, commissioning, maintenance, and modernization. The deal, which also involves shipping AI infrastructure components from Asia to worldwide locations, could increase annual business volume between the two companies to several billion dollars, up from the current high hundreds of millions. Amazon will receive a purchase option on K+N shares, exercisable if K+N meets certain milestones within seven years, and has already hedged the shares with a financial service provider. K+N's stock rose 5.8% following the announcement. The company already counts Google Cloud as a customer.

  • Kühne+Nagel signs long-term logistics agreement with Amazon for AWS infrastructure services.
  • The deal could raise annual volume between the companies to several billion dollars.

• Unconventional Growth Tactics: 60+ Creative Ideas

  2026-09-15lennysnewsletter.com

  Growth Marketing · Erfasster Impact-Score: 1/5

  This article is a comprehensive list of 64 unconventional growth and marketing tactics compiled by growth marketer Tom Orbach. It draws from real-world examples across industries, such as building a fake toy store for CISOs, using meme accounts to generate leads, and launching products via rumors. The tactics are categorized by goal, including generating buzz, making launches noticeable, encouraging word-of-mouth, increasing leads and conversions, outsmarting competitors, and increasing customer retention. The post emphasizes the value of earning attention rather than buying it, and suggests feeding the list into AI agents to brainstorm ideas tailored to specific products. It also highlights the importance of using unexpected, low-cost, and creative approaches in a competitive advertising landscape.

  • Tom Orbach compiled 64 creative growth tactics.
  • Tactics include using stunts, memes, and unconventional job listings.

• Vertesia AI Content Platform Now on Google Cloud Marketplace

  2026-09-09martechseries.com

  AI · Erfasster Impact-Score: 2/5

  Vertesia, developer of an AI-native content platform, announced the availability of its platform on Google Cloud Marketplace. The new listing allows Google Cloud customers to procure and deploy Vertesia's platform, which focuses on turning content-intensive processes into governed, AI-powered workflows. The platform unifies content, process, and agent operations, offering capabilities such as semantic content preparation, a content and process engine, the Vertesia Studio AI-native workspace, and agentic orchestration. This enables enterprises to build, manage, and scale trusted AI agents and workflows using enterprise content and context. The announcement includes a quote from Grant Spradlin, VP of Product at Vertesia, and from Dai Vu of Google Cloud, highlighting the benefits of the partnership.

  • Vertesia's AI-native content platform is now available on Google Cloud Marketplace.
  • The platform unifies content, process, and agent operations for enterprise AI.

• Google Cloud and Accenture Form AI Deployment Unit

  2026-09-08techcrunch.com

  AI Infrastructure / Enterprise AI · Erfasster Impact-Score: 4/5

  Google Cloud and Accenture have formed a joint unit, the Accenture Gemini Enterprise Business Group, to deploy forward-deployed engineers (FDEs) into enterprises to help them adopt Google's AI tools. Google will train up to 1,000 Accenture FDEs to build custom AI applications on the Gemini Enterprise platform. This move intensifies competition with similar FDE programs from OpenAI, Anthropic, Microsoft, and Amazon. Google Cloud's revenue was $24.8 billion in Q2, but rivals like Anthropic and OpenAI dominate enterprise AI model spending. The partnership is part of Google's strategy to accelerate AI adoption and resolve deployment bottlenecks, following its $750 million partner ecosystem commitment and a multi-year partnership with CVC Capital Partners.

  • Google Cloud and Accenture formed a joint unit called Accenture Gemini Enterprise Business Group.
  • Google will train up to 1,000 Accenture FDEs on the Gemini Enterprise platform.

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