How to develop an emerging market for the Internet or the Internet of Things?

Let’s first look at a set of data related to the Internet of Things: According to IDG’s calculations, the size of the downstream market expected to be affected by the global Internet of Things in 2020 will exceed US$3 trillion, with more than 25 billion systems/devices connected to the Internet, and The total number of simultaneous Internet users reaches 4.4 billion. A report by McKinsey in July 2015 even bluntly stated that the size of the downstream application market that the global Internet of Things is expected to penetrate will grow to 3.9-11.1 trillion US dollars by 2025, reaching about 11% of the global economic share. Everyone is optimistic about the future of the Internet of Things, but if we want to open up an emerging market for the Internet of Things, technology alone is not enough. Let’s use Terminus as an example. For Terminus, which is positioning itself as a city-level mobile IoT platform, it encompasses multi-dimensional scenarios such as smart hardware, smart engineering, smart communities, smart offices, smart cities, and smart parking, as well as smart communities. It covers areas and directions such as community finance, O2O, real estate after-sales service market, shared economy, and intelligent mobile life. Since the beginning of this year, Terminus's patent projects have increased from a dozen to more than 40, covering aspects such as intelligent hardware, intelligent engineering, and intelligent solutions; the product line covers software, hardware, solutions, financial leasing, and energy. Contracts, etc., there are many market benchmark projects in almost every field; covering core cities such as Beijing, Shanghai, Chongqing, and Guangdong with a population of tens of millions.

It can be seen that if we want to develop an emerging market for the Internet of Things, briefly speaking, the main points are as follows:

1. Create a massive IoT intelligent sharing platform; 2. , Provide developable basic intelligent hardware and adaptive embedded applications; 3. Realize the display of big data collection, intelligent analysis, and re-integration, and support real-time sharing and transmission