小程序
传感搜
传感圈

What IoT Trends Can We Expect to See in 2023?

2023-03-05
关注

What IoT Trends Can We Expect to See in 2023
Illustration: © IoT For All

Internet of Things (IoT) technology is in a state of constant evolution. In a very brief period, IoT has moved from a tool with limited applications and questionable security, into a global phenomenon, used by 48 percent of large enterprises. Previously, IoT and M2M have generally been associated with low bandwidth applications, such as telematics and measurement equipment that require relatively low data usage, providing relatively benign data back to central services for business analytics. In 2023, it is going to move to another level. Let’s take a look at what developments and IoT trends we can expect to see in 2023.

“In a very brief period, IoT has moved from a tool with limited applications and questionable security, into a global phenomenon, used by 48 percent of large enterprises.“

-Owen Keenan-Lindsey

Five IoT Trends for 2023

#1: Higher Bandwidth Applications

Until recently, IoT has been held back by the type and volume of data that its applications were able to handle. But in 2023, we are seeing the IoT trend of a move into the area of higher bandwidth applications with larger volumes of data being transmitted at higher rates. And this is going to lead to a significant enlargement of the potential for the technology.

#2: Real-Time Data Processing

With higher bandwidths, comes increased capability. So, we will see a lot more companies using IoT for real-time data processing by centralized services. One of the major issues with IoT tech has been the enormity of the data sets produced.

While machine learning (ML) and machine-to-machine (M2M) processing are already deployed to expedite data analysis, there is still a lag between data collection and processing/analysis in most areas. In 2023, there is going to be a greater push toward real-time analysis in a wide range of scenarios, including video. 

#3: Drone & Autonomous Machine Applications

In November 2022, Science Direct published an article about the Internet of Autonomous Things (IoAT). Referring to “things that can conduct necessary actions autonomously by employing AI algorithms without the need for human interference or contact.” So far, there have been limited applications capable of achieving this. However, there will be notable growth in this area as we move through the year.

One of the largest growth areas that we will see become dominant within a very short space of time will be the transport and logistics sectors. Usually when people talk about this their first thought is autonomous trucks, especially in the light of high-profile products such as the Tesla Semi, but that still has plenty of challenges to overcome due to the chaotic nature of real-world roads. 

Something that is here today is autonomous warehousing. From autonomous forklifts to picking arms and autonomous shelving systems which ultimately intend to completely replace the work that humans do in those facilities with numerous benefits to potential early adopters struggling with high staff turnover, industrial disputes, and a generally tight labor market. 

It is well known that Amazon’s entire future profitability model is based on being the earliest adopters in this area. As of June 2022, Amazon Robotics deployed over 520,000 machines to its warehousing and distribution centers around the world.

#4: Monitoring Applications

IoT is already used for a wide range of monitoring applications from weather to desk occupancy and legionella compliance. But what has been conspicuously absent is monitoring tech that can make autonomous critical decisions to improve efficiency.

Advancing artificial intelligence (AI) and ML technology, combined with the enhanced data capacity of IoT will open the door to truly autonomous monitoring, freeing managers from unnecessary alerts and preventing any disruption to necessary services or processes. 

#5: Enhanced Security

Security has become an increasing pain point for IoT. In the development of the original applications, security was an unfortunate afterthought. And as systems have been added to and developed, more flaws are discovered, leaving more potential entry points for would-be hackers.

Meaning that cybersecurity has become and will remain the number one priority for IoT. Both in new tech, where there will be a focus on security-first development, connectivity, and the integration of legacy systems.

New Focus on Business-Critical Solutions

The novelty factor of IoT and the constant drive to get ahead has led to some unnecessary adoption. With budgets pressed and technology advancing, the importance of identifying business-critical IoT solutions is being driven home.

In 2023, we’re going to be seeing a focus on finding IoT that has the potential to be transformative. So, managers will need to ask questions about predicted ROI, the margin that will be brought by the new tech vs current solution, resilience, compatibility with legacy technology, and who is responsible when things go wrong.

Owners must remain focused on the core elements of their business when considering IoT solutions, in order to avoid unnecessary expenditure on novelty functionality. Despite the turbulence of the last few years, IoT adoption remains a priority for a huge number of businesses. Business owners need to think carefully before IoT investments. Being aware of the 2023 IoT trends can be an extremely useful place to start. 

Tweet

Share

Share

Email

  • Artificial Intelligence
  • Autonomous Vehicles
  • Big Data
  • Cybersecurity
  • Data Analytics

  • Artificial Intelligence
  • Autonomous Vehicles
  • Big Data
  • Cybersecurity
  • Data Analytics

参考译文
2023年我们能看到什么物联网趋势?
物联网(IoT)技术处于不断发展的状态。在很短的时间内,物联网已经从一个应用范围有限、安全性存疑的工具发展成为一个全球现象,48%的大型企业都在使用。以前,物联网和M2M通常与低带宽应用相关联,例如远程信息处理和测量设备,这些应用需要相对较低的数据使用量,为中央服务提供相对良性的数据,用于业务分析。在2023年,它将进入另一个层次。让我们来看看2023年我们可以看到的物联网发展和趋势。“在很短的时间内,物联网已经从一个应用范围有限、安全性存疑的工具,变成了一个全球现象,48%的大型企业都在使用。”直到最近,物联网一直受到其应用程序能够处理的数据类型和数量的限制。但在2023年,我们将看到物联网进入更高带宽应用领域的趋势,以更高的速率传输更大容量的数据。这将极大地扩大这项技术的潜力。随着带宽的提高,性能也随之提高。因此,我们将看到越来越多的公司通过集中服务使用物联网进行实时数据处理。物联网技术的一个主要问题是产生的数据集的巨大。虽然已经部署了机器学习(ML)和机器对机器(M2M)处理来加快数据分析,但在大多数领域,数据收集和处理/分析之间仍然存在滞后。在2023年,实时分析将在包括视频在内的广泛场景中得到更大的推动。2022年11月,Science Direct发表了一篇关于自主物联网(IoAT)的文章。指的是“可以通过人工智能算法自主执行必要的动作,而不需要人类的干扰或接触。”到目前为止,只有有限的应用程序能够实现这一点。然而,随着时间的推移,这一领域将会有显著的增长。我们将看到,在很短的时间内占据主导地位的最大增长领域之一将是运输和物流行业。通常当人们谈到这一点时,他们的第一个想法是自动驾驶卡车,特别是考虑到特斯拉Semi等备受瞩目的产品,但由于现实世界道路的混乱性质,这仍然有很多挑战需要克服。今天已经出现的是自动仓储。从自动叉车到拣货臂和自动货架系统,这些系统最终将完全取代人类在这些设施中所做的工作,对那些在高员工流动率、劳资纠纷和普遍紧张的劳动力市场中挣扎的潜在早期采用者有许多好处。众所周知,亚马逊未来的整个盈利模式都建立在成为这一领域最早的采用者的基础上。截至2022年6月,亚马逊机器人公司在世界各地的仓储和配送中心部署了超过52万台机器。物联网已经广泛应用于从天气到办公桌占用和军团菌依从性的监测应用。但目前明显缺乏的是能够自主做出关键决策以提高效率的监控技术。先进的人工智能(AI)和机器学习技术,结合物联网增强的数据容量,将为真正的自主监控打开大门,将管理人员从不必要的警报中解放出来,并防止必要的服务或流程受到任何干扰。安全性已成为物联网日益严重的痛点。在最初的应用程序的开发中,安全性是一个不幸的事后考虑。随着系统的增加和开发,越来越多的漏洞被发现,为潜在的黑客留下了更多的潜在入口。 这意味着网络安全已经成为并将继续成为物联网的头号优先事项。两者都是在新技术领域,重点是安全优先的开发、连接和遗留系统的集成。物联网的新颖性和不断前进的动力导致了一些不必要的采用。随着预算的压力和技术的进步,确定业务关键型物联网解决方案的重要性正在被阐明。在2023年,我们将看到人们专注于寻找具有变革性潜力的物联网。因此,管理人员将需要询问有关预测投资回报率、新技术与当前解决方案之间的利润率、弹性、与遗留技术的兼容性,以及在出现问题时由谁负责等问题。业主在考虑物联网解决方案时必须专注于其业务的核心要素,以避免在新奇功能上花费不必要的费用。尽管过去几年出现了动荡,但物联网的采用仍然是大量企业的优先事项。企业主在投资物联网之前需要仔细考虑。了解2023年的物联网趋势可能是一个非常有用的起点。
  • en
您觉得本篇内容如何
评分

相关产品

EN 650 & EN 650.3 观察窗

EN 650.3 version is for use with fluids containing alcohol.

Acromag 966EN 温度信号调节器

这些模块为多达6个输入通道提供了一个独立的以太网接口。多量程输入接收来自各种传感器和设备的信号。高分辨率,低噪音,A/D转换器提供高精度和可靠性。三路隔离进一步提高了系统性能。,两种以太网协议可用。选择Ethernet Modbus TCP\/IP或Ethernet\/IP。,i2o功能仅在6通道以太网Modbus TCP\/IP模块上可用。,功能

雷克兰 EN15F 其他

品牌;雷克兰 型号; EN15F 功能;防化学 名称;防化手套

Honeywell USA CSLA2EN 电流传感器

CSLA系列感应模拟电流传感器集成了SS490系列线性霍尔效应传感器集成电路。该传感元件组装在印刷电路板安装外壳中。这种住房有四种配置。正常安装是用0.375英寸4-40螺钉和方螺母(没有提供)插入外壳或6-20自攻螺钉。所述传感器、磁通收集器和壳体的组合包括所述支架组件。这些传感器是比例测量的。

TMP Pro Distribution C012EN RF 音频麦克风

C012E射频从上到下由实心黄铜制成,非常适合于要求音质的极端环境,具有非常坚固的外壳。内置的幻像电源模块具有完全的射频保护,以防止在800 Mhz-1.2 Ghz频段工作的GSM设备的干扰。极性模式:心形频率响应:50赫兹-18千赫灵敏度:-47dB+\/-3dB@1千赫

ValueTronics DLRO200-EN 毫欧表

"The DLRO200-EN ducter ohmmeter is a dlro from Megger."

Minco AH439S1N10EN 温湿度变送器

Minco空间湿度探测器组件具有温度补偿功能,结构紧凑,重量轻。它们是为直接安装在建筑内墙上而设计的。他们的特点是集成电路传感器与稳定的聚合物元件,是由烧结不锈钢过滤器封装,加上先进的微处理器,以提供准确和可重复的测量。温度输出是可选的。,用于需要:

评论

您需要登录才可以回复|注册

提交评论

iotforall

这家伙很懒,什么描述也没留下

关注

点击进入下一篇

微软将把ChatGPT集成到Teams中

提取码
复制提取码
点击跳转至百度网盘