AWS Builder Center
What are famous MNCs that uses AWS ????

What are famous MNCs that uses AWS ????

Amazon Web Services (AWS) is a cloud computing platform offered by Amazon. It provides services such as computing power, storage, databases, networking, artificial intelligence (AI), analytics, and security over the internet. Many multinational corporations (MNCs) use AWS to run applications, manage large amounts of data, improve business operations, and deliver services to customers worldwide. Here are some famous companies ...

1. Netflix

Industry: Entertainment and streaming
Netflix uses AWS cloud infrastructure to support its streaming service, data processing, and business operations. AWS helps Netflix scale its computing resources to serve viewers across many countries. Netflix has publicly documented its migration to AWS.

2. Airbnb

Industry: Travel and hospitality
Airbnb uses AWS services to support its accommodation marketplace, process data, and scale its technology as demand changes. Cloud infrastructure helps support travelers and hosts using its platform around the world.

3. Samsung Electronics

Industry: Electronics and technology
Samsung uses AWS in various cloud and software initiatives. AWS can support application hosting, data analytics, and scalable digital services. The specific AWS services used differ by Samsung business unit and project.

4. BMW Group

Industry: Automotive
BMW has used AWS cloud technologies in its connected-vehicle and data initiatives. Cloud computing helps automotive companies process vehicle data, support digital services, and develop data-driven manufacturing and mobility solutions.

5. Pfizer

Industry: Pharmaceuticals and healthcare
Pfizer has used AWS cloud capabilities in its technology and research environment. Cloud infrastructure can help pharmaceutical organizations manage research data, perform analytics, and support scientific computing, subject to applicable privacy and regulatory controls.

6. Unilever

Industry: Consumer goods
Unilever has used cloud technologies, including AWS in documented initiatives, to support digital transformation and data-driven business operations. These capabilities can help connect information across supply chains, marketing, and business applications.

7. Twitch

Industry: Live streaming and gaming
Twitch, an Amazon-owned live-streaming platform, uses AWS technologies as part of the broader cloud ecosystem available within Amazon. Cloud infrastructure is relevant to streaming, video processing, and large-scale online services.
Note: AWS customer deployments change over time. These examples refer to publicly documented cloud use or AWS-related initiatives; they do not imply that every application of each company runs on AWS.

3. Detailed article: How famous MNCs use AWS

3.1 Netflix — Cloud computing for global streaming

Netflix is one of the best-known examples of a company using cloud computing at a massive scale. It provides movies, television shows, documentaries, and other entertainment to viewers around the world.
Netflix uses AWS infrastructure to support its computing, data processing, and service operations. This helps the company scale its backend systems as viewer demand changes.
How AWS helps Netflix:
  • Scalability: Computing resources can be adjusted as demand increases or decreases.
  • Data analytics: Data processing supports business insights and content-related decisions.
  • Reliability: Distributed cloud infrastructure helps support services across different regions.
  • Faster development: Engineering teams can develop and deploy software without managing all the underlying physical infrastructure.
Netflix also uses its own content delivery technology, Open Connect, to deliver video efficiently to viewers. This is an important distinction: not every part of Netflix's technology stack is simply an AWS service.
Source: Netflix and AWS customer examples.
Amazon Web Services, Inc.
+1

3.2 BMW Group — Cloud computing for connected cars

BMW Group is a global automotive manufacturer known for BMW, MINI, and Rolls-Royce. Its collaboration with AWS demonstrates how cloud computing can support traditional manufacturing companies as they develop connected and software-defined vehicles.
BMW and AWS have worked together on cloud-based vehicle data platforms and automated-driving development. These systems help engineers collect, manage, and analyze large volumes of vehicle data.
US Press Center
+1
How AWS helps BMW:
  • Vehicle data management: Cloud platforms process and organize data from connected vehicles.
  • Machine learning: Engineers can develop and train models using vehicle data.
  • Simulation and testing: Cloud computing supports large-scale software testing and driving simulations.
  • Digital innovation: Engineers can build new vehicle features and services more efficiently.
For example, data gathered from vehicle systems can help engineers identify relevant driving scenarios and improve driver-assistance software. AWS provides computing, storage, and machine-learning capabilities for these development workflows.
This case demonstrates that AWS is useful not only for websites but also for data-intensive engineering and automotive research.

3.3 Airbnb — Cloud infrastructure for a global marketplace

Airbnb operates an online marketplace that connects travelers with accommodation hosts and other travel-related experiences. Its platform must handle searches, property listings, bookings, payments, and customer interactions.
AWS identifies Airbnb among businesses that have built on its cloud platform.
Cloud Computing Services
+1
How AWS helps Airbnb:
  • Application hosting: Cloud computing supports the backend systems that power the marketplace.
  • Scalability: Resources can expand to accommodate seasonal travel demand.
  • Data management: Cloud databases and analytics can support marketplace operations.
  • Agility: Development teams can test and release features without building and maintaining all their own physical servers.
For a company operating across countries and time zones, flexible infrastructure is valuable because demand can fluctuate significantly. Cloud computing helps support that flexibility, although the precise architecture and AWS services used can change over time.

3.4 Pfizer — Cloud computing for pharmaceutical research

Pfizer is a multinational pharmaceutical company involved in drug discovery, clinical research, manufacturing, and healthcare products. Scientific research can generate large amounts of data and require substantial computing resources.
AWS identifies Pfizer among its healthcare customers and highlights its work in accelerating oncology research, vaccine development, and supply-chain activities.
Amazon Web Services, Inc.
+1
How AWS helps Pfizer:
  • Scientific computing: Researchers can access computing resources for demanding workloads.
  • Data analytics: Large datasets can be processed to support research and operational decisions.
  • Research infrastructure: Cloud resources can be provisioned for specific projects as needed.
  • Supply-chain operations: Data systems can support planning, visibility, and coordination.
Healthcare and pharmaceutical organizations must also protect sensitive information and follow applicable regulatory requirements. Cloud adoption therefore involves access controls, data governance, security, and compliance—not just computing power.

3.5 Samsung Electronics — Cloud technologies for digital services

Samsung Electronics operates globally in smartphones, televisions, appliances, semiconductors, and other technology products. AWS materials have listed Samsung among organizations using AWS, including in cloud database contexts.
d1.awsstatic.com
+1
How AWS can support Samsung's cloud-related workloads:
  • Database management: Cloud databases can support applications and digital services.
  • Data analytics: Business teams can analyze operational and application data.
  • Scalable applications: Cloud infrastructure can support changing workloads.
  • Digital transformation: Cloud-based systems can help teams develop and operate services more flexibly.
It is important to distinguish Samsung's use of cloud infrastructure from the company's own products and platforms. Samsung operates a wide range of businesses, and AWS usage in one project does not mean that all Samsung products or services run on AWS.

3.6 Unilever — Cloud computing for consumer goods and supply chains

Unilever is a multinational consumer goods company with products in personal care, beauty, home care, and food. Its global operations involve manufacturing, suppliers, distribution, marketing, and retail partners.
Unilever appears in AWS customer and enterprise migration materials.
Cloud Computing Services
+1
How AWS can support its digital operations:
  • Supply-chain analytics: Data systems can help teams understand inventory and distribution.
  • Business applications: Cloud infrastructure can host enterprise applications.
  • Data integration: Information from different business systems can be brought together for analysis.
  • Operational flexibility: Cloud resources can be scaled as business needs change.
For a multinational consumer goods company, connecting data across regions can improve visibility and help employees make better-informed decisions. The exact outcomes depend on the individual application and implementation.

4. Other famous MNCs using AWS

Several other globally recognized companies have AWS customer stories or are listed in AWS enterprise materials.
aws.amazon.com
+2
CompanyIndustryExample of AWS-related use
Sony GroupEntertainment and electronicsGenerative AI systems and digital innovation
Mercedes-BenzAutomotiveAI applications and mobility innovation
AdobeSoftwareCloud infrastructure and enterprise workloads
SalesforceEnterprise softwareCloud-related infrastructure and technology partnerships
PinterestSocial mediaScalable online services and data workloads
The Coca-Cola CompanyBeveragesEnterprise cloud and digital initiatives
SiemensIndustrial technologyIndustrial data and digital solutions
Capital OneFinancial servicesCloud-based financial technology and data systems
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
Enjoyed reading this content? Let the author know!

Your likes, comments, shares, and saves help creators reach more builders.

Loading recommendations

Loading article