AI has become the Cornerstone of IoT for Automation with the Agentic AI Market Leading the way for Decisions as a Service
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Agentic AI represents a major shift from pre-programmed automation to autonomous, goal-directed reasoning. By integrating with the Internet of Things (IoT), these AI agents move beyond simple "if-this-then-that" rules to deliver Decisions as a Service (DaaS), fundamentally transforming how industries operate.
The Shift from Rules to Autonomous Decisions
Traditional IoT relies on static thresholds, whereas Agentic IoT interprets context to make complex choices independently.
- Pre-programmed Automation: Executes fixed commands when specific sensor data triggers a rule
- Agentic Automation: Evaluates ambient conditions, anticipates downstream consequences, and self-corrects to meet an objective
- Decisions as a Service: Offloads real-time operational choices to AI models that charge based on outcomes or API calls
Real-World Impact Across Key Sectors
Agentic AI converts passive data networks into self-managing physical systems.
- Predictive Maintenance: Agents detect anomalies, order replacement parts, and schedule human technicians without management intervention
- Smart Grid Management: Systems balance energy distribution, predict peak loads, and trade power autonomously on open markets
- Supply Chain Logistics: Vehicles reroute themselves based on weather patterns, port congestion, and real-time inventory levels
Core Challenges to Widespread Adoption
Deploying autonomous decision-makers into physical infrastructure introduces critical technical and operational hurdles.
- Latency Constraints: Cloud-reliant agents struggle with time-sensitive physical actions that require sub-millisecond edge computing
- Deterministic Safety: Industries require guaranteed, predictable behaviors, which inherently conflict with probabilistic AI reasoning
- Security Risks: Compromised agents can manipulate physical valves, locks, or heavy machinery, escalating digital risks to physical threats
Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service systems. It is destined to become an integral component of business operations including supply chains, sales and marketing processes, product and service delivery, and support models.
We see AIoT evolving to become more commonplace as a standard feature from big analytics companies in terms of digital transformation for the connected enterprise. This will be realized in infrastructure, software, and SaaS-managed service offerings. Recent years have witnessed rapid growth for IoT data-as-a-service offerings to become AI-enabled decisions-as-a-service-solutions, customized on a per industry and company basis. Certain data-driven verticals such as the utility and energy service industries will lead the way.
As IoT networks proliferate throughout every major industry vertical, there will be an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions. Data generated from IoT-supported systems will become extremely valuable, both for internal corporate needs as well as for many customer-facing functions such as product life-cycle management.
The use of AI for decision-making in IoT and data analytics will be crucial for efficient and effective decision-making, especially in streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real time will add an entirely new dimension to service logic.
In many cases, the data itself, and actionable information will be the service. AIoT infrastructure and services will, therefore, be leveraged to achieve more efficient IoT operations, improve human-machine interactions, and enhance data management and analytics, creating a foundation for IoT Data as a Service (IoTDaaS) and AI-based Decisions as a Service.
This AIoT market report provides an analysis of technologies, leading companies and solutions. The report also provides quantitative analysis including market sizing and forecasts for AIoT infrastructure, services, and specific solutions for the period 2026 through 2030.
The report also provides an assessment of the impact of 5G upon AIoT (and vice versa) as well as blockchain and specific solutions such as Data as a Service, Decisions as a Service, and the market for AIoT in smart cities.
With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.
This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.
Table of Contents
1. Executive Summary
Companies Mentioned
- Sharp Corporation
- SAS Institute Inc.
- DT42 Co. Ltd.
- Baidu Inc.
- Alibaba Group Holding Limited
- Tencent
- Xiaomi
- NVIDIA Corporation
- Intel Corporation
- Qualcomm Technologies Inc.
- Innodisk Corporation
- GBT Technologies
- Micron Technology Inc.
- ShiftPixy
- Uptake Technologies Inc.
- C3 AI Inc.
- Alluvium IoT Solutions Pvt Ltd.
- Arundo (Stanford Startx Company)
- Canvass Analytics Inc.
- Falkonry Inc.
- Interactor
- Google (DeepMind)
- Cisco Systems
- IBM Corporation
- Microsoft Corporation
- Apple Inc.
- Salesforce Inc.
- Infineon Technologies AG (Cypress Semiconductor)
- Amazon Inc.
- AB Electrolux
- ABB Ltd.
- AIBrian Inc.
- Analog Devices Inc.
- ARM Limited
- Atmel Corporation (Microchip Technology)
- Ayla Networks Inc.
- Brighterion Inc.
- Buddy (Blue Frog Robotics)
- CloudMinds
- Cumulocity IoT (Software AG)
- Smarsh Inc. (Digital Reasoning Systems)
- Enea AB
- Express Logic Inc. (Microsoft Corporation)
- Meta Platform Inc. (Facebook)
- Fujitsu Ltd.
- Thales Group (Gemalto N.V.)
- General Electric (GE)
- General Vision Services
- Graphcore
- H2O.ai
- Haier Group
- Helium Systems
- Hewlett Packard Enterprise
- Huawei Technologies
- Siemens AG
- SK Telecom
- SoftBank Robotics
- SpaceX
- SparkCognition
- STMicroelectronics
- Broadcom Inc. (Symantec)
- Tellmeplus (OVHCloud)
- Tesla Inc.
- Texas Instruments
- Thethings.io
- Veros Systems (Baker Hughes Company)
- Whirlpool Corporation
- Wind River Systems Inc.
- Juniper Networks Inc.
- Nokia Corporation
- Oracle Corporation
- PTC Corporation (ServiceMax)
- Losant IoT
- Robert Bosch GmbH
- Pepper
- Terminus Group
- Tuya Inc.
- NXP Semiconductors (Freescale Semiconductor)
- Axiomtek Co. Ltd.
- Pinnacle Solutions Inc.
- Schneider Electric
- TCL Technology
- GREE Electric Appliances Inc.
- Hisense International
- Lenovo
- Midea
