DUBLIN–(BUSINESS WIRE)–The “Artificial Intelligence of Things Solutions by AIoT Market Applications and Services in and Industry Verticals 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.
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 2021 through 2026.
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.
While it is no secret that AI is rapidly becoming integrated into many aspects of ICT, many do not understand the full extent of how it will transform communications, applications, content, and commerce. For example, the use of AI for decision-making in IoT and data analytics will be crucial for efficient and effective smart city solutions in terms of decision-making.
The convergence of AI and Internet of Things (IoT) technologies and solutions (AIoT) is leading to “thinking” networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. AI adds value to IoT through machine learning and improved decision making. IoT adds value to AI through connectivity, signaling, and data exchange.
AIoT is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination. With AIoT, AI is embedded into infrastructure components, such as programs, chipsets and edge computing, all interconnected with IoT networks. APIs are then used to extend interoperability between components at the device level, software level and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data.
While early AIoT solutions are rather monolithic, it is anticipated that AIoT integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions. These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision-making processes.
Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. 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. More specifically, 2020 was a key year 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 services 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 the area of 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.
The fastest-growing 5G AIoT applications involve private networks. Accordingly, the 5GNR market for private wireless in industrial automation will reach $4.97B by 2026. Some of the largest market opportunities will be AIoT market IoTDaaS solutions. We see machine learning in edge computing as the key to realizing the full potential of IoT analytics.
Select Report Findings:
The global AIoT market will reach $78.3 by 2026, growing at 39.1% CAGR
The global market for IoT data as service solutions will reach $8.89B USD by 2026
The AI-enabled edge device market will be the fastest-growing segment within the AIoT
AIoT automates data processing systems, converting raw IoT data into useful information
Today’s AIoT solutions are the precursor to next-generation AI Decision as a Service (AIDaaS)
Six key areas that we see within the scope of AIoT solutions are:
Data Services
Asset Management
Immersive Applications
Process Improvement
Next-Gen UI and UX
Industrial Automation
Companies Mentioned
AB Electrolux
ABB Ltd.
AIBrian Inc.
Alibaba
Alluvium
Amazon Inc.
Analog Devices
Apple Inc.
ARM Limited
Arundo Analytics
Atmel Corporation
Ayla Networks Inc.
Baidu
Brighterion Inc.
Buddy
C3 IoT
Canvass Analytics
Cisco
CloudMinds
Cumulocity GmBH
Cypress Semiconductor Corp
Digital Reasoning Systems Inc.
DT42
Echelon Corporation
Enea AB
Express Logic Inc.
Facebook Inc.
Falkonry
Fujitsu Ltd.
Gemalto N.V.
General Electric
General Vision Inc.
Gopher Protocol
Graphcore
H2O.ai
Haier Group Corporation
Helium Systems
Hewlett Packard Enterprise
Huawei Technologies
IBM Corp.
Infineon Technologies AG
Innodisk
Intel Corporation
Interactor
Juniper Networks
Losant IoT
Micron Technology
Microsoft Corp.
Nokia Corporation
Nvidia
Oracle Corporation
Pepper
PTC Corporation
Qualcomm
Robert Bosch GmbH
Salesforce Inc.
SAS
Sharp
ShiftPixy
Siemens AG
SK Telecom
SoftBank Robotics
SpaceX
SparkCognition
STMicroelectronics
Symantec Corporation
Tellmeplus
Tencent
Tend.ai
Terminus
Tesla
Texas Instruments
Thethings.io
Tuya Smart
Uptake
Veros Systems
Whirlpool Corporation
Wind River Systems
Xiaomi Technology
For more information about this report visit https://www.researchandmarkets.com/r/o2qfzb