Generative Artificial Intelligence (GenAI) Applied for Internet of Things (IoT): Growth Opportunities

Generative Artificial Intelligence (GenAI) Applied for Internet of Things (IoT): Growth Opportunities

Integration Enables Efficiency and Problem-solving in Existing Processes and Revenue Generation from Emerging Opportunities

RELEASE DATE
05-Feb-2024
REGION
Global
Deliverable Type
Market Research
Research Code: K9B8-01-00-00-00
SKU: IT_2024_558
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Description

GenAI refers to algorithms and machine learning models used to create content, including text, audio, images, video, and code.

To be a component of the IoT, Frost & Sullivan considers any product, application, or service must be part of a larger solution that comprises these 4 elements:
• Objects virtualized and imbued with data measurement capabilities
• The ability to grant identities to physical and virtual objects
• Interconnections between these objects for monitoring and interaction
• The ability to generate real-time insights from data and incorporate them into existing business processes

With increasing connected devices comes exponential growth in data volume, which requires novel means of analysis to achieve goals. GenAI technologies are becoming indispensable in unlocking the complete potential of IoT. Augmenting IoT with rapidly advancing GenAI technologies is crucial to delivering GenAIoT-enabled industry solutions.

GenAI and the IoT are revolutionizing the way we interact with the world around us. GenAI can train and run models directly on edge devices,
the endpoints of the IoT network. This edge AI approach not only enhances computational efficiency and data security but also unlocks new possibilities for intelligent devices and sensors that continuously generate diverse data streams.

Frost & Sullivan covers the following in the report:
• Growth drivers and restraints
• GenAI market revenue and statistics
• Top GenAI-IoT applications
• The telecommunications industry’s role in the ecosystem
• Profiles of top tech companies in the space
• Growth opportunities for market participants

Table of Contents

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on GenAI in the IoT Platforms Industry

Growth Opportunities Fuel the Growth Pipeline Engine™

Overview of GenAI

Overview of GenAI (continued)

IoT

Overview of IoT Platforms

IoT Platforms and Software—Market Definitions–Global, 2023

Scope of Analysis

Segmentation

Revenue Forecast

Revenue Share by Segment

GenAI in Business—Deployment and Plans

Implementation Challenges of GenAI Initiatives in Business

GenAI-IoT Convergence

GenAI-IoT Convergence (continued)

GenAI-IoT Convergence (continued)

GenAI-IoT Convergence (continued)

GenAI in IoT Platforms

GenAI-IoT Application—IoT Interfaces

GenAI-IoT Application—Code Generation for IoT

GenAI-IoT Application—Robot Control

The Future of the GenAI-IoT Convergence

The Future of the GenAI-IoT Convergence (continued)

Unique Position Enables TSPs to Monetize AIoT Opportunities

AI-IoT Convergence—TSPs’ Evolving Role

Growth Drivers

Growth Restraints

Soracom

Soracom (continued)

IBM

IBM (continued)

AWS

Microsoft Azure

Google

NVIDIA

Growth Opportunity 1: GenAI for Enhanced IoT Security

Growth Opportunity 1: GenAI for Enhanced IoT Security (continued)

Growth Opportunity 2: Enhanced Device Intelligence through GenAI

Growth Opportunity 2: Enhanced Device Intelligence through GenAI (continued)

Growth Opportunity 3: AI-powered Smart Home and Building Solutions

Growth Opportunity 3: AI-powered Smart Home and Building Solutions (continued)

Growth Opportunity 4: IoT-connected Vehicles Powered by GenAI

Growth Opportunity 4: IoT-connected Vehicles Powered by GenAI (continued)

Growth Opportunity 5: IoT-connected Healthcare Powered by GenAI

Growth Opportunity 5: IoT-connected Healthcare Powered by GenAI (continued)

Growth Opportunity 6: Multimodal Foundational Models for IoT

Growth Opportunity 6: Multimodal Foundational Models for IoT (continued)

Growth Opportunity 7: GenAI for Advanced Telecom Networks

Growth Opportunity 7: GenAI for Advanced Telecom Networks (continued)

List of Exhibits

Legal Disclaimer

GenAI refers to algorithms and machine learning models used to create content, including text, audio, images, video, and code. To be a component of the IoT, Frost & Sullivan considers any product, application, or service must be part of a larger solution that comprises these 4 elements: Objects virtualized and imbued with data measurement capabilities The ability to grant identities to physical and virtual objects Interconnections between these objects for monitoring and interaction The ability to generate real-time insights from data and incorporate them into existing business processes With increasing connected devices comes exponential growth in data volume, which requires novel means of analysis to achieve goals. GenAI technologies are becoming indispensable in unlocking the complete potential of IoT. Augmenting IoT with rapidly advancing GenAI technologies is crucial to delivering GenAIoT-enabled industry solutions. GenAI and the IoT are revolutionizing the way we interact with the world around us. GenAI can train and run models directly on edge devices, the endpoints of the IoT network. This edge AI approach not only enhances computational efficiency and data security but also unlocks new possibilities for intelligent devices and sensors that continuously generate diverse data streams. Frost & Sullivan covers the following in the report: Growth drivers and restraints GenAI market revenue and statistics Top GenAI-IoT applications The telecommunications industry s role in the ecosystem Profiles of top tech companies in the space Growth opportunities for market participants
More Information
Deliverable Type Market Research
Author Constanza Ingaramo
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 Generative AI Market
Keyword 2 GenAI Trends
Keyword 3 GenAI Industry Insights
Podcast No
WIP Number K9B8-01-00-00-00