Global Internet of Things Market Research Prospects to 2024 - Featuring Huawei, IBM & Intel Among Others -

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The IoT technologies are ranked according to their considered maturity (based on expert interviews, vendor briefings, secondary research, and conference attendances). IoT technologies often take more than ten years to get closer to the center of the emerging technologies radar. The typical technologies depicted here take about 12 years to move from being 'far beyond the horizon' to becoming so mature and widely adopted that we consider them 'core' (in case technology does become mainstream, which is not always the case). For example, cloud computing took 12 years from being far on the horizon to being perceived 'mainstream' for IoT settings (for instance, AWS was first launched in 2006). Research on 5G was launched in 2012 and was considered far-reaching at that time. Now it has moved to the 'coming up' level and is expected to become the main focus for IoT applications in 2024-2025 (also 12 years later).

Below is presented the complete list of all software, hardware, and connectivity IoT technologies (each ranked by maturity). The Internet of Things (IoT) is the network of physical objects that contain embedded technology for communication and perception or interaction with their internal states or the external environment. The Internet of Things is the umbrella term for anything that connects to the internet. Traditional areas of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to creating the Internet of Things. In the consumer market, IoT technology is most synonymous with 'smart home' products, covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other appliances) that support one or more standard ecosystems, and can be operated using devices associated with that ecosystem, such as smartphones and smart speakers.

The range of existing and potential Internet of Things devices is boundless. Although heavily integrated into the consumer electronics market, IoT extends far beyond handheld devices and home appliances; IoT subsystems such as industrial internet and connected cities aim at automating factories and urban areas rather than just households. Machine-to-machine, or M2M, is a broad term that can be used to describe any technology that allows networked devices to exchange information and react without the manual assistance of humans. Artificial intelligence (AI) and machine learning (ML) facilitate interactions between systems, enabling them to make their own autonomous choices.

M2M assists the transfer of data from one device to another. The term mainly addresses to point-to-point communication between the two devices. Compared to M2M, IoT is a broader label and it refers to a network of connected devices that support data integration with a specific application. It assumes multilevel communication and flexible responses.

When IoT devices link to other devices and capable to operate interactively and autonomously without human manual intervention, they are called 'smart'. In other words, they are able to perceive and output information and store it as the knowledge that is further applied to adaptive behaviors within an environment or context. Examples of well-known smart consumer devices are smartphones, smartwatches, and smart TVs. When these smart devices are linked to and integrated into everyday settings and tasks, then we speak of smart environments. Smart environments emerge when big data, artificial intelligence, and IoT are integrated. Smart environments and devices are able to operate autonomously, to learn, and generate expert advice. Examples of smart environments are smart homes, smart cities, smart manufacturing, and smart industries.

Companies Mentioned

  • Amazon Web Services

  • ARM

  • Bosch IoT Sensor Company

  • Cisco

  • GE Digital

  • Google

  • HQ Software

  • Huawei

  • IBM

  • Intel

  • Microsoft

  • Oracle

  • Oxagile

  • PTC

  • R-Style Lab

  • SAP

  • Sciencesoft

  • Siemens IoT Analytics Company

  • Vates

Key Topics Covered:


1.1. Definition

1.2. History of the Internet of Things

1.3. Architecture and value chain

1.4. IoT technologies

1.5. Classification and segmentation


2.1. Research data

2.2. Research coverage

2.3. Key benefits of buying the report

2.4. Key stakeholders


3.1. Market dynamics

  • On the basis of value

  • On the basis of active devices

  • On the basis of platforms

  • Dynamics in startups and funding

3.2. Market Development Factors

  • Drivers

  • Restraints

  • Opportunities

  • Challenges

3.3. Post-COVID-19 effects

3.4. Market Segmentation

  • By component

  • By deployment

  • By connectivity

  • By vertical/horizontal model

  • By business/consumer spending

  • By application


4.1. General trends

4.2. Tech trends

4.3. Application trends


5.1. Smart city

5.2. Industrial IoT

5.3. Smart home

5.4. Connected health

5.5. Transport

5.6. Logistics

5.7. Smart farming

5.8. Wearable

5.9. Retail and customer services

5.10. The IoT impact on sustainability

5.11. The IoT and decision making


6.1. Overview

6.2. North America

6.3. Asia-Pacific

6.4. Europe

6.5. Rest of the world


7.1. Corporate consumption

7.2. Private consumption


8.1. Overview

8.2. Market ranking analysis

8.3. Company profiles



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