The statistic shows the installed base of the Internet of Things (IoT) by category between 2014 and 2020. An estimated ***** billion units will be in use in the consumer segment by 2020.

Internet of Things installed base -- additional information

The Internet of Things (IoT) is a vast network of smart objects which work together in collecting and analyzing data and autonomously performing actions. The IoT is a highly promising concept, as forecasts show growth at a rapid pace for the coming years both in terms of market value and connected devices. The global market value of IoT is projected to pass the *** trillion U.S. dollars mark for the first time by 2017, a significant increase, considering the market was valued at around *** billion U.S. dollars in 2014. The number of connected devices worldwide is projected to increase from around ** billion in 2015 to ** billion by 2020.

The installed base of IoT devices is expected to jump from about **** billion in 2015 to nearly ** billion by 2020, with the consumer sector accounting for the majority of these units. The IoT installed base in the consumer sector is forecast to amount to **** billion by 2020. The automobile industry is a promising sector for IoT and is forecast to account for about ** percent of the IoT installed base in 2020. As of May 2015, companies of the automobile industry spent an average of around **** million U.S. dollars on Internet of Things per year. Companies in the travel, transportation and hospitality industry have the highest annual spending on IoT – nearly *** million U.S. dollars. Industrial manufacturing, banking and financial services and telecommunication are also industries with high spending on IoT.

The global number of Internet of Things (IoT) connections is expected to almost linearly grow through the period from 2020 to 2030, with an expected number of about 24 billion enterprise IoT connections in 2030.

By 2025, forecasts suggest that there will be more than ** billion Internet of Things (IoT) connected devices in use. This would be a nearly threefold increase from the IoT installed base in 2019. What is the Internet of Things? The IoT refers to a network of devices that are connected to the internet and can “communicate” with each other. Such devices include daily tech gadgets such as the smartphones and the wearables, smart home devices such as smart meters, as well as industrial devices like smart machines. These smart connected devices are able to gather, share, and analyze information and create actions accordingly. By 2023, global spending on IoT will reach *** trillion U.S. dollars. How does Internet of Things work? IoT devices make use of sensors and processors to collect and analyze data acquired from their environments. The data collected from the sensors will be shared by being sent to a gateway or to other IoT devices. It will then be either sent to and analyzed in the cloud or analyzed locally. By 2025, the data volume created by IoT connections is projected to reach a massive total of **** zettabytes. Privacy and security concerns   Given the amount of data generated by IoT devices, it is no wonder that data privacy and security are among the major concerns with regard to IoT adoption. Once devices are connected to the Internet, they become vulnerable to possible security breaches in the form of hacking, phishing, etc. Frequent data leaks from social media raise earnest concerns about information security standards in today’s world; were the IoT to become the next new reality, serious efforts to create strict security stands need to be prioritized.

Supplementary tables with percentage shares of the population aged 12 and over who used and did not use the Internet of Things (IoT) at home in 2020.

Internet of things (IoT) in healthcare market size is forecasted to grow at a rate of 19.8% from USD 60.83 bn in 2019 to USD 260.75 bn in 2034. the scope & benefits of iot in healthcare can be majorly associated with trends.

By 2034, the number of Internet of Things (IoT) connected devices is expected to be the largest in the Greater China area, with over 12 billion devices. Other regions that are also expected to lead in the number of IoT devices are Europe and North America.

[170+ Pages Report] The global Internet of Things (IoT) market witnessed a size of USD 310 billion in 2020 and with growth at a CAGR of 24.5% is projected to achieve a value of USD 1,842 billion by 2028.

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Internet Of Things (IoT) Chip Market Size 2024-2028

The internet of things (iot) chip market size is forecast to increase by USD 19.51 billion, at a CAGR of 15.2% between 2023 and 2028.

Major Market Trends & Insights

APAC dominated the market and accounted for a 47% growth during the forecast period.
By the Application - Smart cities segment was valued at USD 6.13 billion in 2022
By the Type - Logic devices segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 196.66 million
Market Future Opportunities: USD 19510.80 million
CAGR : 15.2%
APAC: Largest market in 2022

Market Summary

The market is experiencing significant growth, with an increasing number of industries adopting smart devices and applications. One notable development is the introduction of NB-IoT technology, which offers enhanced connectivity and lower power consumption for IoT devices. According to recent market studies, the global IoT chip market is projected to reach a value of USD62.1 billion by 2026, growing at a steady pace. However, privacy and security concerns remain a major challenge for market expansion. Despite these hurdles, the market continues to evolve, with advancements in edge computing and artificial intelligence driving innovation and improving the functionality of IoT devices.
As businesses seek to optimize operations and enhance customer experiences, the adoption of IoT solutions is expected to accelerate, making the market a dynamic and exciting space to watch.

What will be the Size of the Internet Of Things (IoT) Chip Market during the forecast period?

Explore market size, adoption trends, and growth potential for internet of things (iot) chip market Request Free Sample

The market encompasses a diverse range of technologies, from environmental monitoring sensors to power-efficient location tracking systems and industrial automation components. According to industry estimates, the global IoT chip market size was valued at USD25.2 billion in 2020, with a projected compound annual growth rate of 21.5% from 2021 to 2028. Component miniaturization and circuit board fabrication have been key drivers, enabling the integration of advanced features such as signal integrity analysis, error correction codes, and field-programmable gate arrays. In contrast, the increasing adoption of data visualization tools, wireless communication modules, and application programming interfaces for remote monitoring systems has led to a surge in demand for digital signal processors and data compression methods.
The market's continuous evolution is marked by the integration of machine learning models, predictive maintenance, and energy harvesting techniques, further enhancing system performance and network connectivity. Despite these advancements, security vulnerabilities remain a significant challenge, necessitating ongoing research and development in error correction codes, network connectivity, and software updates deployment.

How is this Internet Of Things (IoT) Chip Industry segmented?

The internet of things (iot) chip industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Smart cities
  Industrial ethernet
  Smart wearables
  Connected vehicles
  Connected homes


Type

  Logic devices
  Sensors
  Processors
  Connectivity integrated circuits
  Memory devices


Geography

  North America

    US


  APAC

    China
    Japan
    South Korea
    Taiwan


  Rest of World (ROW)

By Application Insights

The smart cities segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving Internet of Things (IoT) market, the demand for advanced chipsets is surging to support the connectivity needs of various smart city applications, such as smart parking, smart meters, and smart grid solutions. The integration of IoT chipsets in urban infrastructure, including power plants, transportation systems, and water supply networks, is a crucial element of smart city development. The IoT chip market is currently witnessing significant growth, with the adoption of IoT chipsets in smart city projects expanding by 18%. Furthermore, the industry is anticipated to experience substantial expansion, with IoT chipset sales in smart city applications projected to increase by 25% in the upcoming years.

To meet the stringent requirements of smart city applications, IoT chip manufacturers focus on enhancing device certification standards, optimizing antenna designs, and improving network infrastructure. IoT device security, quality control testing, and battery life extension are also essential considerations. Innovations in sensor fusion algorithms, integr

According to Cognitive Market Research, the global AI in IoT market was USD 5.5 billion in 2024 and expand at a compound annual growth rate (CAGR) of 23.5% from 2024 to 2031. Market Dynamics of AI in IoT Market

Key Drivers for AI in IoT Market

Increasing Big Data Volume - The expansion of big data, as well as the rapidly increasing volume and complexity of data, is being driven by increased mobile traffic, cloud computing traffic, and the development and use of technologies such as IoT and AI. Big data analytics is an effective means of distributing data and generating insightful and practical knowledge from huge amounts of information. Organizations can benefit from significant predictive analytics in a variety of areas, including operations, marketing, risk assessment, and raid detection. For example, in a 2020 research, about 90% of business professionals and enterprise analytics stated that data and analytics are crucial to their organization's digital transformation efforts. Data and analytics are rapidly becoming critical components for businesses. Need for Effective Data Management

Key Restraints for AI in IoT Market

Growing Importance of Cybersecurity Concerns High Costs Introduction of AI in IoT Market

Artificial intelligence (AI) in the Internet of Things (IoT) refers to the application of AI technology to analyze enormous volumes of data generated by IoT devices, such as machine learning and deep learning. It comprises using AI algorithms to IoT data in order to extract valuable information, discover trends, and make predictions or judgments. Furthermore, automation is another facet of AI in IoT, in which AI-powered solutions streamline procedures, optimize business processes, and enable autonomous decisions across the IoT landscape. Furthermore, the combination of artificial intelligence with IoT has the potential to generate numerous benefits for both enterprises and consumers. AI in IoT solutions has the potential to increase corporate efficiency and productivity while also reducing expenses. Additionally, it can give increased convenience and a better user experience for consumers; such AI in IoT market trends are expected to create multiple potential opportunities during the forecast period. Furthermore, combining AI with IoT can improve data management and analytics while also providing businesses with a better understanding of their products. Such increased variables are projected to create attractive prospects for artificial intelligence in IoT market growth throughout the predicted years. Factors such as increased digitalization, a greater demand for intelligent business systems, and increased use of innovative technologies all had a beneficial impact on market growth.

The number of Internet of Things (IoT) attacks in the world reached over ***** million in December 2022. However, in the same month of 2021, the number of reported IoT attacks dropped to nearly ***********. The highest number of monthly attacks was detected in June 2022, with approximately ** million attacks.

The number of Internet of Things (IoT) connections in Russia and the Commonwealth of Independent States (CIS) was forecast to grow at an accelerated pace, reaching nearly 730 million by 2025. At the same time, the SIM connections count was projected to increase more slowly, by nine million between 2020 and 2025.

In Latin America, it is expected that there will be *** million new Internet of Things (IoT) connections between 2020 and 2025. In this regard, the smart home segment is estimated to generate more than 100 million new connections in the period.

This statistic shows the Internet of Things (IoT) services spending worldwide from 2014 to 2017 and in 2020. In 2014, the IoT services spending amounted to ***** billion U.S. dollars.

IoT-23 is a dataset of network traffic from Internet of Things (IoT) devices. It has 20 malware captures executed in IoT devices, and 3 captures for benign IoT devices traffic. It was first published in January 2020, with captures ranging from 2018 to 2019. These IoT network traffic was captured in the Stratosphere Laboratory, AIC group, FEL, CTU University, Czech Republic. Its goal is to offer a large dataset of real and labeled IoT malware infections and IoT benign traffic for researchers to develop machine learning algorithms. This dataset and its research was funded by Avast Software. The malware was allow to connect to the Internet.

This dataset is comprised of NetFlow records, which capture the outbound network traffic of 8 commercial IoT devices and 5 non-IoT devices, collected during a period of 37 days in a lab at Ben-Gurion University of The Negev. The dataset was collected in order to develop a method for telecommunication providers to detect vulnerable IoT models behind home NATs. Each NetFlow record is labeled with the device model which produced it; for research reproducibilty, each NetFlow is also allocated to either the "training" or "test" set, in accordance with the partitioning described in:

Y. Meidan, V. Sachidananda, H. Peng, R. Sagron, Y. Elovici, and A. Shabtai, A novel approach for detecting vulnerable IoT devices connected behind a home NAT, Computers & Security, Volume 97, 2020, 101968, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2020.101968. (http://www.sciencedirect.com/science/article/pii/S0167404820302418)

Please note:

• The dataset itself is free to use, however users are requested to cite the above-mentioned paper, which describes in detail the research objectives as well as the data collection, preparation and analysis.
• Following is a brief description of the features used in this dataset.

# NetFlow features, used in the related paper for analysis

'FIRST_SWITCHED': System uptime at which the first packet of this flow was switched
'IN_BYTES': Incoming counter for the number of bytes associated with an IP Flow
'IN_PKTS': Incoming counter for the number of packets associated with an IP Flow
'IPV4_DST_ADDR': IPv4 destination address
'L4_DST_PORT': TCP/UDP destination port number
'L4_SRC_PORT': TCP/UDP source port number
'LAST_SWITCHED': System uptime at which the last packet of this flow was switched
'PROTOCOL': IP protocol byte (6: TCP, 17: UDP)
'SRC_TOS': Type of Service byte setting when there is an incoming interface
'TCP_FLAGS': Cumulative of all the TCP flags seen for this flow

# Features added by the authors

'IP': Prefix of the destination IP address, representing the network (without the host)
'DURATION': Time (seconds) between first/last packet switching

# Label
'device_model':

# Partition
'partition': Training or test

# Additional NetFlow features (mostly zero-variance)
'SRC_AS': Source BGP autonomous system number
'DST_AS': Destination BGP autonomous system number
'INPUT_SNMP': Input interface index
'OUTPUT_SNMP': Output interface index
'IPV4_SRC_ADDR': IPv4 source address
'MAC': MAC address of the source

# Additional data
'category': IoT or non-IoT
'type': IoT, access_point, smartphone, laptop
'date': Datepart of FIRST_SWITCHED
'inter_arrival_time': Time (seconds) between successive flows of the same device (identified by its MAC address)

This timeline represents the projected market growth for IoT (Internet of Things) enabled smart buildings in North America from 2015 to 2020. By 2020, the IoT enabled smart building market was expected to reach ***** billion U.S. dollars in revenue.

This dataset presents network traffic traces data of the 14 D-Link IoT devices from different types including camera, network camera, smart-plug, door-window sensor, and home-hub. It consists of:

• Network packet traces (inbound and outbound traffic) and
• IEEE 802.11 MAC frame traces.

The experimental testbed was set-up in the Network Systems and Signal Processing (NSSP) laboratory at Universiti Brunei Darussalam (UBD) to collect all the network traffic traces from 9th September 2020 to 10th January 2021 including an access point on a laptop. The network traffic traces were captured passively observing the Ethernet interface and the WiFi interface at the access point.

In packet traces, typical communication protocols, such as TCP, UDP, IP, ICMP, ARP, DNS, SSDP, TLS/SSL etc, data are captured which IoT devices use for communication on the Internet. In the probe request frame (a subtype of management frames) traces, data are recorded which IoT devices use to connect access point on the local area network.

The authors would like to thank the Faculty of Integrated Technologies, Universiti Brunei Darussalam, for the support to conduct this research experiment in the Network Systems and Signal Processing laboratory.

The global IoT revenue in the energy sector was valued at $34.0 billion in 2019 and is projected to grow at a CAGR of more than 9% during the forecast period 2020-2025. The growth of the IoT market in the energy sector is steady. However, as the sector recovers from pandemic hardships and losses, CAPEX and OPEX will remain focused on core business, and investment in innovative IoT technologies will remain minimal. The cost of sensor technology, which is embedded in connected devices, will continue to decline, prompting an uptake in IoT technologies within the energy sector. Read More

The Internet of Medical Things Market Report is Segmented by Device Type (Wearable Devices, Stationary/In-Hospital Devices, Implantable Devices, and Other Device Types), Product Type (Vital Signs Monitoring Devices, Implantable Cardiac Devices, and More), End Users (Hospitals, Clinics, and More), Connectivity Technology (Zigbee, Bluetooth, Wi-Fi, and More), and Geography.

Total-Revenue Time Series for Leedarson IoT Technology Inc. Leedarson IoT Technology Inc. engages in the research and development, production, and sale of Internet of things (IoT) products, LED bulbs, fixtures, luminaires, light sources, and other products. The company provides sensors, controls, cameras, and smart appliances; smart lighting products; home security products, such as alarms, smoke alarms, water leakage alarms, video surveillance, and other products; energy management solutions; smart campus solutions, including air quality sensor, lighting products, smart curtain, scene control panel, wireless bridge and measurement connector, PIR sensor, temperature and humidity sensor, and air switch. It also offers smart kitchen appliances; hub/gateway, remote control, and range extender; and ZigBee, Bluetooth, Wi-Fi, Z-Wave, and combo modules. The company was formerly known as Xiamen Leedarson Lighting Group Co., Ltd. and changed its name to Leedarson IoT Technology Inc. in January 2020. The company was founded in 2000 and is based in Xiamen, China.