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Global Internet of Things Market Research Prospects to 2024

  • ID: 5157454
  • Report
  • September 2020
  • Region: Global
  • 123 Pages
  • MW Ltd.


  • Amazon Web Services
  • Cisco
  • HQ Software
  • Intel
  • Oxagile
  • SAP

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.

Note: Product cover images may vary from those shown


  • Amazon Web Services
  • Cisco
  • HQ Software
  • Intel
  • Oxagile
  • SAP

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

  • By business/consumer end-user
  • By vertical/horizontal business model
  • By area of application
  • By instrument

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

  • Amazon Web Services
  • Microsoft
  • Google
  • Intel
  • ARM
  • IBM
  • Cisco
  • SAP
  • PTC
  • Huawei
  • Ge Digital
  • Bosch IoT Sensor Company
  • Siemens IoT Analytics Company
  • Oracle
  • Sciencesoft
  • Vates
  • Oxagile
  • R-Style Lab
  • HQ Software



List of Tables
Table 1. List of all software, hardware, and connectivity IoT technologies ranked by maturity.
Table 2. Areas where IoT create value
Table 3. Global smart city index score 2019, TOP-10
Table 4. Top IoT companies in the USA in 2019
Table 5. Top Internet of Things Service Companies in the USA on Thomasnet.com
Table 6. Comparison of Top IoT Companies

List of Figures
Figure 1. IoT system architecture
Figure 2. IoT value chain scheme.
Figure 3. Sensors types by the method used to detect and measure the property.
Figure 5. The global IoT market size in 2015-2019, bln US dollars.
Figure 6. The global IoT market size in 2015-2019, bln units
Figure 7. Number of publicly known IoT Platforms in 2015-2019.
Figure 8. Drivers of IoT growth
Figure 9. The number of Internet of Things (IoT) transport units in the European Union (EU), 2017, 2020, 2025, mln units.
Figure 10. List of National Initiatives in European countries
Figure 11. The global IoT market spending by component (hardware, software, and service).
Figure 12. Vertical and horizontal segments in the IoT market, %
Figure 13. Consumers and businesses purchase activity in terms of money, %
Figure 14. Distribution of enterprise IoT projects worldwide by application, %
Figure 15. Spending on IoT worldwide by application, %
Figure 16. Range of urban services where IoT can be used
Figure 17. IIoT spending by field of application, %
Figure 18. Number of Internet of Things (IoT) smart buildings active connections in the European Union (EU) in 2016, 2019, 2022, and 2025, million connections
Figure 19. Revenue of the Smart Home market worldwide according to the segment by 2024.
Figure 20. Number of IoT active connections in healthcare in the EU in 2016, 2019, 2022, 2025, mln units.
Figure 21. Number of IoT transport units in the EU in 2017, 2020, 2025, mln units.
Figure 22. Connected car shipments globally in 2018, 2019, 2023, mln units.
Figure 23. Number of connected wearable devices worldwide in 2016, 2019, and 2022, in millions
Figure 24. Number of connected wearable devices worldwide by region from in 2020, in millions
Figure 25. Wearable band unit shipments worldwide in the 3rd quarter 2019 by region, in million units.
Figure 26. Global smart clothing/fabrics market size in 2018, 2019, 2024, 2025, bln US dollars.
Figure 27. IoT active connections in retail in EU in 2016-2025, mln units.
Figure 28. IoT in retail market region map, speed of growing.
Figure 29. The global installed base of connected vending machines by region, %
Figure 30. Segmentation of the IoT market by geography, map.
Figure 31. IoT world market in terms of IoT spending by geography, 2019, %
Figure 32. IoT world market in terms of connected things units by geography, forecast for 2025, %
Figure 33. IoT connections per head of population in the world and regions by 2030
Figure 34. Distribution of enterprise IoT projects worldwide by application and geography, %
Figure 35. IoT market by application in North America, 2019, %
Figure 36. Main IT countries shares in APAC region.%
Figure 37. APAC IoT market by component, %
Figure 38. IoT market in South Korea by sector (services, platform, network, and devices), %
Figure 39. IoT market in Europe by country in 2019, %
Figure 40. The vertical industries with the greatest spending in Europe in 2019, %
Figure 41. Reasons for IoT adoption
Figure 42. Top concerns for developing IoT solution in 2019
Figure 43. Concern about the way connected devices collect and use personal data, %
Figure 44. The global IoT market size forecast to 2020-2025, bln US dollars.
Figure 45. The global IoT market size forecast to 2020-2025, bln units

Note: Product cover images may vary from those shown
  • 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
Note: Product cover images may vary from those shown