DUBLIN, 11 August 2021– (BUSINESS WIRE) -The report “Artificial Intelligence of Things from AIoT Market Applications and Services in Verticals and Industries 2021-2026” has been added ResearchAndMarkets.com’s Oferta e.

This AIoT market report provides an analysis of technologies, key companies and solutions. The report also provides quantitative analysis including market size and forecasts for AIoT infrastructure, specific services and solutions for the period 2021 to 2026.

The report also provides an assessment of the impact of 5G on 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 integrating into many aspects of ICT, many do not fully understand 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 is leading to “thinking” networks and systems that are becoming increasingly capable of solving a wide range of problems across a diverse number of industry verticals. . AI adds value to the IoT through machine learning and improved decision making. IoT adds value to AI through data connection, signaling and sharing.

AIoT has just begun to become part of the ICT lexicon as the possibilities for the former that adds value to the latter are limited only by the imagination. With AIoT, AI is embedded in infrastructure components, such as software, chipsets, and front-end computing, all interconnected with IoT networks. APIs are then used to extend the interaction between components at the hardware level, software level, and platform level. These units will focus primarily on optimizing system and network operation as well as extracting value from data.

While early AIoT solutions are quite monolithic, it is expected that the integration of AIoT within businesses and industries will eventually lead to more sophisticated and valuable cross-business and cross-industrial solutions. These solutions will focus primarily on optimizing system and network operation, as well as extracting value from industry data through dramatically improved analysis and decision-making processes.

Many industry verticals will be transformed through the integration of AI with the ecosystems of enterprise, industrial and consumer products and services. 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 common as a standard feature by large analytics companies in terms of digital transformation for the affiliated enterprise. This will be done in the infrastructure, software and service offerings managed by SaaS. More specifically, 2020 was a key year for IoT-as-a-service data service offerings to become AI-enabled, service-enabled decisions based on industry and company. Some data-driven verticals, such as utility and energy services industries, will lead the way.

As IoT networks spread across every large vertical industry, there will be an ever-increasing amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will create significant opportunities to support Artificial Intelligence of unstructured data analysis solutions. The data generated by IoT-supported systems will become extremely valuable, both for corporate internal needs and for many customer-facing functions, such as product lifecycle 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 field of data transmission and real-time analytics related to computer networks. Real-time data will be a key value proposition for all cases, segments and usage solutions. The ability to capture broadcast data, define valid attributes, and make real-time decisions will add a whole new dimension to service logic.

In many cases, the data itself and the applicable information will be the service. AIoT infrastructure and services will therefore be utilized to achieve more efficient IoT operations, improve human-machine interactions, and improve data management and analytics, creating a database for IoT Data as a Service (IoTDaaS). ) and AI-based Decisions as Service Me

The fastest growing 5G AIoT applications include private networks. Therefore, the 5GNR market for private wireless in industrial automation will reach $ 4.97 billion by 2026. Some of the biggest market opportunities will be the IoTDaaS solutions of the AIoT market. We see machine learning in advanced 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 by 39.1% CAGR

  • The global market for IoT data as a service solution will reach $ 8.89 billion by 2026

  • The AI-equipped equipment market will be the fastest growing segment within AIoT

  • AIoT automates data processing systems, turning raw IoT data into useful information

  • Today’s AIoT solutions are the forerunner of the next generation AI Decision as a Service (AIDaaS)

The six main areas we see within the field of AIoT solutions are:

  • Data Services

  • Asset Management

  • Diving Applications

  • Process improvement

  • Next Generation UI and UX

  • Industrial Automation

Mentioned companies

  • AB Electrolux

  • ABB Ltd.

  • AIBrian Inc.

  • Alibaba

  • Aluvium

  • Amazon Inc.

  • Analog devices

  • Apple Inc.

  • ARM Limited

  • Arundo Analytics

  • Atmel Corporation

  • Ayla Networks Inc.

  • Baidu

  • Brighterion Inc.

  • friend

  • C3 IoT

  • Canvass Analytics

  • Cisco

  • CloudMinds

  • GmBH cumulocytes

  • Cypress Semiconductor Corp

  • Digital Reasoning Systems Inc.

  • DT42

  • Echelon Corporation

  • Enea AB

  • Express Logic Inc.

  • Facebook Inc.

  • Falkonry

  • Fujitsu Ltd.

  • Gemalto NV

  • General Electric

  • General Vision Inc.

  • Google

  • Gopher Protocol

  • Graphics

  • H2O.ai

  • Haier Group Corporation

  • Helium systems

  • Hewlett Packard Company

  • Huawei Technologies

  • IBM Corp.

  • Infineon Technologies AG

  • Innodisk

  • Intel Corporation

  • Interactive

  • Juniper Networks

  • IoT lost

  • Micron Technology

  • Microsoft Corp.

  • Nokia Corporation

  • Nvidia

  • Oracle Corporation

  • pepper

  • PTC Corporation

  • Qualcomm

  • Robert Bosch GmbH

  • Salesforce Inc.

  • SAS

  • Sharp

  • ShiftPixy

  • Siemens AG

  • Telecom SK

  • SoftBank Robotics

  • SpaceX

  • Spark Cognition

  • STMicroelectronics

  • Symantec Corporation

  • Tellmeplus

  • Tencent

  • Tend.ai

  • Terminus

  • Tesla

  • Texas Instruments

  • Thethings.io

  • Tuya Smart

  • Making

  • Veros Systems

  • Whirlpool Corporation

  • Wind River Systems

  • Xiaomi Technology

For more information about this report visit https://www.researchandmarkets.com/r/o2qfzb

Check out the source version at businesswire.com: https://www.businesswire.com/news/home/20210811005603/en/

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