IBM Logo
HQ Location
United States
Year Founded
Company Type
> $10b
> 50,000
Stock Ticker
Twitter Handle
Company Description

IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware, and software, and offers infrastructure, hosting, and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field.

IoT Solutions

Nine billion Internet of Things (IoT) devices today, and the number is growing. Organizations must consider how to manage the complexities of connecting to a seemingly unlimited number of devices and how to effectively integrate IoT data with data from other sources, such as internal data stores. Business value comes to those who improve their data capabilities—integration, automation, and analysis—not to those who simply connect the most devices to the network. Watson IoT is a set of capabilities that learn from, and infuse intelligence into, the physical world. Firms can securely connect, collect and process IoT data quickly and easily with the Watson IoT Platform.

The IoT generated data, and it is extremely varied, noisy, time-sensitive, and often confidential. Complexity grows as billions of devices interact in a moving world. This presents a growing challenge that will test the limits of programmable computing. Cognitive IoT is our opportunity to fully exploit this resource. Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true Machine Learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.

Key Customers

Daimler, Sogeti HighTech, Synchrony Systems

IoT Snapshot
IBM is a provider of Industrial IoT analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence technologies, and also active in the aerospace, agriculture, apparel, automotive, buildings, cement, chemicals, cities and municipalities, construction and infrastructure, consumer goods, e-commerce, education, electrical grids, electronics, equipment and machinery, finance and insurance, food and beverage, healthcare and hospitals, life sciences, marine and shipping, metals, mining, national security and defense, oil and gas, paper and pulp, pharmaceuticals, professional service, railway and metro, renewable energy, retail, security and public safety, software, telecommunications, transportation, and utilities industries.
Use Cases
Additive Manufacturing
Advanced Production Planning and Scheduling
Asset Health Management (AHM)
Asset Lifecycle Management
Automated Disease Diagnosis
Behavior & Emotion Tracking
Building Automation & Control
Building Energy Management
Campus Area Network
Collaborative Robotics
Computer Vision
Condition Monitoring
Construction Management
Construction Site Monitoring
Demand Planning & Forecasting
Digital Thread
Digital Twin
Edge Computing & Edge Intelligence
Energy Management System
Experimentation Automation
Facial Recognition
Factory Operations Visibility & Intelligence
Farm Monitoring & Precision Farming
Fleet Management
Flexible Manufacturing
Food Safety Management
Fraud Detection
Infrastructure Inspection
Intelligent Packaging
Intrusion Detection Systems
Inventory Management
Last Mile Delivery
Leakage & Flood Monitoring
Leasing Finance Automation
Livestock Monitoring
Machine Condition Monitoring
Machine Translation
Manufacturing Process Simulation
Manufacturing System Automation
Mass Customization
Material Handling Automation
Movement Prediction
Onsite Human Safety Management
Outdoor Environmental Monitoring
Personnel Tracking & Monitoring
Picking, Sorting & Positioning
Predictive Maintenance
Predictive Quality Analytics
Predictive Replenishment
Predictive Waste Reduction
Process Control & Optimization
Public Transportation Management
Public Warning & Emergency Response
Real-Time Location System (RTLS)
Regulatory Compliance Monitoring
Remote Asset Management
Remote Collaboration
Remote Control
Remote Patient Monitoring
Retail Store Automation
Root Cause Analysis & Diagnosis
Search & Rescue
Service Parts Management
Smart Campus
Smart City Operations
Smart Collateral Management
Smart Contracts
Smart Irrigation
Speech Recognition
Supply Chain Visibility
Tamper Detection
Theft Detection
Time Sensitive Networking
Track & Trace of Assets
Traffic Monitoring
Transportation Simulation
Usage-Based Insurance
Vehicle Telematics
Virtual Reality
Virtual Training
Visual Quality Detection
Warehouse Automation
Water Utility Management
Functional Areas
Technology Stack
IBM’s Technology Stack maps IBM’s participation in the analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence IoT Technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:

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