Internet of Things (IoT) – Thematic Intelligence

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Published: November 27, 2023 Report Code: GDTMT-TR-S465-TH

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The Internet of Things, or IoT, describes the use of connected sensors and actuators to control and monitor the environment, the things that move within it, and the people that act within it. Use cases include the automated home, the connected car, wearable technology, the automated home, smart cities, and predictive maintenance for industrial machinery.

We forecast that the global IoT market will reach $1.7 trillion in revenue by 2027. Enterprise IoT will account for 73% of market revenue by 2027, up from 70% in 2022, while the consumer segment will make up 27% in 2027, down from 30% in 2022. In a post-COVID-19 world, the accelerating adoption of artificial intelligence (AI) and further connectivity improvements will drive solid growth across all IoT markets.

Scope

This report provides an overview of the Internet of Things theme.

It identifies the key trends shaping the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.

It includes a comprehensive industry analysis, including market size and growth forecasts for the global Internet of Things market, alongside analysis of trends in GlobalData’s proprietary signals data, including M&As, venture financing, patents, company filings, and hiring.

The detailed value chain is split into five layers: physical, connectivity, data, apps, and services.

Also included are profiles of leading players in the IoT theme, including Alibaba, Amazon, Arm, Baidu, Cisco, Ericsson, Huawei, Microsoft, Nokia and Synaptics.

Key Highlights

We forecast that the global IoT market will reach $1.7 trillion in revenue by 2027. Enterprise IoT will account for 73% of market revenue by 2027, up from 70% in 2022, while the consumer segment will make up 27% in 2027, down from 30% in 2022. In a post-COVID-19 world, the accelerating adoption of artificial intelligence (AI) and further connectivity improvements will drive solid growth across all IoT markets.

IoT is a relatively mature market, yet significant innovation is emerging as AI is embedded into the operations and services provided by IoT deployments. Artificial Intelligence of Things (AIoT) involves embedding AI into IoT devices, software, and services. Combining data collected by connected sensors and actuators with AI supports automated operations and predictive maintenance. Furthermore, improvements in the physical layer and edge computing support many use cases of AI at the edge, such as smart cameras, smart traffic lights, and smart drones.

The combination of a fragmented security standards landscape and the weak security of many IoT devices could hold back further IoT adoption. Additionally, IoT deployments can become a security risk. Despite ongoing industry efforts, there are no globally accepted standards for IoT security. IoT sensors and cameras typically have limited computing capacity, meaning they cannot run effective security software. This leaves them and the networks to which they are connected vulnerable to cyberattacks.

Reasons to Buy

The Internet of Things, or IoT, is an umbrella term referring to the ability of everyday physical objects (such as fridges, watches, or cars) to connect with other devices over the internet, enabling them to send and receive data. It describes using connected sensors and actuators to control and monitor the environment, the things that move within it, and the people that act within it. By collecting and analyzing the data they transmit, consumers and businesses can monitor, maintain, and upgrade these “things” much more efficiently. Using IoT, many aspects of our lives, such as securing our homes or predicting when our car will need its next service, can be automated, saving time, energy, and money.

ABB
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Make
MariaDB
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Microsoft
Microvision
Midea (KUKA)
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Mitac
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Table of Contents

Executive Summary

Players

Technology Briefing

Trends

Industry Analysis

Signals

Value Chain

Companies

Sector Scorecards

Glossary

Further Reading

Thematic Research Methodology

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