In 2018, we have completely bid farewell to the preparation phase of the Internet of Things and officially entered the application phase of the Internet of Things. BSQUARE, the global leader in embedded device solutions, recently completed a study on the “Industrial IoT Maturity Surveyâ€, which surveyed more than 300 companies in the manufacturing, transportation, and oil and gas industries.
According to the survey, 86% of enterprises have applied industrial Internet of Things to varying degrees. The most widely used industries are transportation (93%), followed by oil and gas (89%) and manufacturing ( 77%). About 84% of enterprises agree that IoT projects have practical results, and 95% of companies indicate that industrial IoT projects have a significant impact on the company's business. For the implementation of IoT systems, 78% of enterprises indicated that IoT projects connect devices and machines via Ethernet or cloud services, and 83% of projects cover data visualization. Enterprises that have already made IoT technology one of the basic components of the business model will become leaders in the wave of digital transformation in the future. According to the global survey of the "Internet of Things Market Barometer 2017/18" released by international communications giant Vodafone, 74% of application companies believe that leaving the Internet of Things, digital transformation will be difficult.
In 2017, as many industrial enterprises began to apply and implement the Internet of Things, there are seven major trends in the Internet of Things:
1. The Internet of Things has gone through the conceptual phase and is moving into the mainstream application phase, and companies are seeking to get rewards from various IoT applications.
Companies have embraced the IoT concept as a key driver of digital transformation, preparing to generate revenue from up-front investments and seeking business value and results from every IoT project. In the future, companies will purchase many new devices and expect them to be equipped with sensors and connectivity. It should be noted that although the device may already have connectivity, the company still needs to make further investments to build and improve the IoT network.
2. The Internet of Things cloud platform market will grow rapidly and leading manufacturers will emerge.
Microsoft Azure and Amazon AWS will occupy the largest share of the cloud platform market. IBM, Google, SAP and Oracle will all compete in the external market. Many IoT companies, such as Siemens and General Electric, will offer a "cloud as a service" model through these cloud platform vendors.
3. The IoT system architecture will evolve from data acquisition and data analysis capabilities to intelligent state-driven solutions.
The data collected by the IoT solution will begin to provide new analysis reports to end users. With the further enhancement of artificial intelligence and computer processing data, different fields such as data science, machine learning, and physics-based models will extract meaningful event information from IoT data and take specific actions accordingly.
4. The ability of edge devices and fog computing will enable distributed artificial intelligence.
One aspect of the Internet of Things is to achieve distributed intelligence. The development of edge devices and fog computing will establish a data analysis network that provides data analysis for each phase. With the addition of data analysis and machine learning capabilities, the level of intelligence and automation of edge devices and fog computing solutions will be further enhanced to facilitate the emergence of the distributed edge cloud programming paradigm.
5. The use of digital hygiene technology will help companies improve the process from digital blueprint to real-world production.
The long-term goal of the Internet of Things is to build a network of business partners and digital health. Establishing a digital twinning model for products and production processes will provide companies with new ways to analyze data. Data collected by the Internet of Things can provide predictive analysis and maintenance information through computer models.
6. Despite improvements in open standards, integration will remain highly challenging.
It is necessary to establish a common set of communication standards among enterprises. Consumers will benefit from open standards to match the various IoT products. Although similar industry standards such as OPC Unified Architecture (OPC-UA) and Industry 4.0 Reference Architecture Model RAMI will gradually solve the semantic integration problem, the full application of these standards is still a long process.
7. Security and privacy remain key issues.
IoT security embedded in hardware and network systems is not just about security issues. Legislation and concerns about data confidentiality (especially in Europe and China) may even affect the structure of the Internet of Things. In response to security threats, some IoT vendors have also made significant investments in expertise and resources. The development of information security will enable enterprises to share data through the Internet and promote business development.
The Internet of Things is rapidly becoming an integral part of enterprise infrastructure and an important asset for businesses. Enterprises that plan to enter the Internet of Things in 2018 will consider these trends when establishing and deploying IoT technologies.
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