市場調査レポート
商品コード
1207189
コンシューマー・エンタープライズ・産業用IoT向けコネクテッドデバイスの世界市場 (2023年~2028年):使用事例・デバイスタイプ・用途・産業別Connected Device Market for Consumer, Enterprise, and Industrial IoT Devices by Use Case, Device Type, Applications, and Industry Verticals 2023 - 2028 |
コンシューマー・エンタープライズ・産業用IoT向けコネクテッドデバイスの世界市場 (2023年~2028年):使用事例・デバイスタイプ・用途・産業別 |
出版日: 2023年01月31日
発行: Mind Commerce
ページ情報: 英文 131 Pages
納期: 即日から翌営業日
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世界の政府部門向けIoTコネクテッドデバイスの市場規模は2028年には524億米ドルの規模に成長すると予測されています。また、産業別では、エネルギー管理支援デバイス (エアコン、温度調節器、スマート照明、スマートウィンドウなど) の部門が2028年には89億米ドルの規模に成長すると予測されています。
当レポートでは、世界のコンシューマー・エンタープライズ・産業用IoT向けコネクテッドデバイスの市場を調査し、市場概要・背景、技術動向、市場成長への各種影響因子の分析、市場規模の予測、各種区分・地域別の内訳、主要企業のプロファイルなどをまとめています。
This report assesses the connected device market segment including consumer, enterprise, and industrial devices with associated connected device market sizing from 2023 to 2028. It evaluates applications and solutions in each market segment for major industry verticals including agriculture, advertising and media, automobiles, energy management, healthcare, manufacturing, oil & gas, public safety, and telecommunications.
The number, type, and purpose of connected devices is rapidly expanding as the IoT evolves beyond the current state of limited applications, many of which remain isolated and purpose-built for a given use case, industry verticals, and companies.
Some of these applications will be enhanced through communication with a smart device, which is a connected device that benefits embedded intelligence. In contrast, an IoT Device need not be smart, and in fact, many are relatively unintelligent devices that are typically single-purpose and rely upon intelligence to be provided elsewhere for data processing, analytics, analysis, and dispersal of actionable information, typically via a cloud services model.
It is important to note that cloud services may be either centralized or distributed via Multi-access Edge Computing (MEC) infrastructure. MEC will also facilitate an entirely new class of low-power devices that rely upon MEC equipment for processing. Stated differently, some IoT devices will be very light-weight computationally speaking, relying upon edge computing nodes for most of their computation needs. However, AIoT is a dominant trend that the publisher of this report sees supporting connected devices via both distributed and centralized AI support for devices.
As AIoT causes networks and systems to become increasingly more cognitive in nature, connected devices that previously acted in a purely deterministic manner will leverage AI for decision-making, which may occur locally via edge computing and/or centrally via core cloud computing. As part of this evolution, devices will also increasingly engage in peer-to-peer communications including signaling and data exchange. This will create both an opportunity and a challenge connected device management as they will need to rely upon the AI-based cybersecurity solutions involving trust management.
Continued 5G standardization is anticipated to provide marked improvements for the connected device market. For example, there are provisions for hybrid devices that have 5G IoT market needs that range between mMTC and eMBB and URLLC. For example, some devices will require relatively high availability and latency, but not to the degree of some critical applications that require full URLLC.
Some of these same hybrid capability devices will also require some eMBB type functionality, such as relatively high reliability and latency for video. for example, the wearable technology market will have some devices in this category as some wearables will require relatively high bandwidth and battery life. In general, hybrid connected devices will be characterized as being more complex than mMTC devices, but less complex than eMBB or URLLC devices.
Introduction of these reduced-capability devices into the connected device market will have an impact on network operations including device identification, authentication and authorization as networks must ensure that these devices are only used for the intended use cases. This is because these hybrid-connected devices will have reduced capabilities such as fewer antennas, reduced control-channel monitoring, and other factors that may affect the QoS/QoE for various use cases.
Accordingly, IoT authorization and authentication procedures will adjust to these changing requirements as some use cases will be prohibitive for reduced-capability devices, but on the other hand, these same hybrid devices will be able to perform any function a typical mMTC device can do and more.
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