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Press Releases
Cloud Service Providers to Put More Emphasis on Edge Computing, Says TrendForce


Consumer Electronics / Telecommunications / Semiconductors

Cloud computing platforms have fueled the digital transformation of enterprises in recent years Public cloud has been playing a key role during the process While applications of IoT and AI grow increasingly popular, the ecosystem of cloud services and the integration of cloud and edge have emerged as weak points of the market, says TrendForce Cloud service providers have started to put more emphasis on the edge computing market, which has a CAGR of more than 30% from 2018 to 2022 TrendForce analyst Jimmy Liu points out that the digital transformation has become a must for many enterprises, who have realized the challenges brought by massive data to their current information system architectures Cloud services like storage, data transmission and computing are on the rise, changing the mindsets of enterprises Major cloud service providers have made eye-catching achievements in recent years, such as Amazon, Microsoft, Google, IBM, and Alibaba Cloud However, with increasing growth momentum, the competition among cloud service providers has also become fierce Before incorporating cloud systems into daily business operations, enterprises are bound to consider the stability, cost-effectiveness, scalability, and sustainability of cloud services, urging service providers to make the functions more integrated and prices more competitive In addition, the rise of the Internet of Things has brought dynamic development needs Users not only upload their systems to the cloud, but also use the cloud platforms for development and testing of IoT applications, further optimizing development costs and shortening the time for product development Spotting the demand and new business opportunities at the edge near data sources Faced with existing price competition and the emerging diverse needs, cloud service providers started to extend their existing businesses and expand towards IoT platforms and edge computing Liu notes that, most cloud service providers have established their own IoT platforms and edge computing software, such as AWS IoT Core and AWS Greengrass of Amazon, Azure IoT Solutions and Azure IoT Edge of Microsoft, etc Based on cloud ecosystems, complete architecture and functions, as well as corresponding development tools for users, the cloud service providers have been shifting to the edge, trying to deliver more comprehensive cloud-to-end solutions on the advantages of the cloud Cloud-to-end solutions also assist in data analysis by service providers, who used to collect existing data from applications passively Together with a large amount of messy data, the analysis was time- and effort-consuming However, as the cloud-to-edge development tools and ecosystems are built, they can cooperate with edge device makers more actively and have better control of these devices closer to the sources of data such as sensors, end devices, and gateways In addition, the enhancement of edge devices will also enable cloud service providers to deploy artificial intelligence, machine learning and other technologies to the edge, and to upgrade vertical fields through various algorithms The integration of cloud computing, edge computing and professional domain knowledge will also drive the loop of automation, autonomous training, and self-optimization In this way, cloud service providers and edge device makers will jointly develop new forms of operation in the future to realize the digital transformation

Press Releases
Edge Computing Market Will Grow by a CAGR of over 30% from 2018 to 2022, Accelerating the Development of AI and 5G, Says TrendForce



Highlights Edge computing market will grow by a CAGR of over 30% from 2018 to 2022 Current solutions of edge computing device management platform include Azure IoT Edge by Microsoft, Mbed Edge by Arm, and Edge-Computing-IoT by Huawei Edge computing has significant implications on consumer markets, including 5G, AI, real-time alerts, security system, smart assistant and predictive maintenance, etc   Edge computing helps to decrease the load of cloud computing systems and enhance the data processing performance at the edge of the network This new kind of architecture not only substantially increases the efficiency of computing and data applications, but could also enhance further implementation of emerging technologies like AI and 5G, making it a focus of discussion in 2017 TrendForce forecasts that the edge computing market will grow by a compound annual growth rate (CAGR) of over 30% from 2018 to 2022 TrendForce analyst Jimmy Liu points out that the traditional architectures of cloud computing systems have led the market for many years, and have created new business opportunities such as cloud storage and big data analysis However, with increasingly huge amounts of data and the rise of real-time computing, traditional architectures have been unable to meet future demand With a decentralized structure, edge computing integrates network, computing, storage, and self-management at the edge of field devices and gateways, etc, helping to realize real-time response of field devices and enhance the efficiency of data collection and advanced application Moreover, edge computing can reduce the cost compared with traditional architectures Supply chains have been developing industry standards and the edge computing ecosystem Many alliances have been setting new standards for edge computing, for this new paradigm will bring changes to the architectures and actual applications in the market For instance, the Multi-Access Edge Computing (MEC) of The European Telecommunications Standards Institute (ETSI), the OpenFog Reference Architecture for Fog Computing, and the Edge Computing Consortium led by Huawei have been actively developing reference architectures to establish the business ecosystems In addition, many companies have rolled out their edge computing solutions, such as Azure IoT Edge launched by Microsoft, which puts machine learning, advanced analytics and AI services at front-end IoT devices which are closer to the source of data; chip IP provider Arm also introduced Mbed Edge, a computing platform to assist in protocol translation, gateway management and edge computing; in addition, the rest of the industry chain, including server providers, network equipment providers, industrial computer providers, traditional manufacturers, open source organizations, have all introduced corresponding solutions Implementation of AI and 5G will depend on assistance of edge computing Edge computing, which has become a focus of discussion since 2017, will have significant implications on AI and 5G Liu notes that, AI used to rely on powerful cloud computing capabilities for data analysis and algorithm, but with the advancement of chips and the development of edge computing platform, field devices and gateways have been entitled basic AI abilities, which allow them to assist in the initial data screening and analysis, immediate response to requirements, etc This advantage can further improve existing services in industries, smart cities and consumer markets, such as real-time alerts, security system, smart assistant and predictive maintenance, etc Edge computing is also an important technological transformation for 5G Compared with 3G and 4G era, 5G network features diverse applications and network demands Therefore, 5G network must offer corresponding solutions for different applications and requirements In this condition, edge computing can provide mobile users with better network quality and lower latency, and allow telecom operators to launch more innovative services

Press Releases
TrendForce Says Smart Manufacturing Market Will Reach US$250 Billion in Size by 2018 as Technological Forces Revolutionize Industries Worldwide



With the arrival of the age of the Internet of Things (IoT), government policies and technologies are being put in place to promote intelligent and connected solutions that are going to transform the manufacturing sector According to the global market research firm TrendForce, the global market of technologies involved in smart manufacturing/factories is estimated to reach US$250 billion in size by 2018 According to Jimmy Liu, IoT analyst for TrendForce, there are three major trends that are shaping the development of smart manufacturing: the transformation of manufacturing as a service, the standardization of technologies and the establishment of intelligent management systems  Rising demand for mass customization gives rise to manufacturing as a service Traditionally, manufacturers built their survival strategies and competitive advantages on economies of scale and cost cutting These tenets however, are challenged The growth of the Internet and its extension, the IoT, has led to burgeoning demand in the market for highly flexible and customizable orders This shift toward mass customization in the manufacturing sector will ever more pronounced in the future Another crucial aspect in this new wave of manufacturing revolution is the value-added services derived from manufacturers’ products General Electric (GE), for instance, have developed separate service packages for aircraft manufacturers and airlines For manufacturers, GE provides maintenance and preventative repair for its parts For carriers, GE offers flight efficiency services, which entail flight data analytics, fuel management, aircraft fleet management and other optimization services Leadership contest for technological standardization is underway In the current phase, smart manufacturing solutions are highly varied as well as being operationally complex and independent of each other Liu noted that as the standardization of communication technologies and interfaces become critical to the overall development of smart manufacturing, countries and enterprises will engage in fierce competitions to decide which technologies will prevail Major industrialized countries such as the US, Germany and Japan are actively implementing strategies to ensure their leadership in the standardization of technologies Industry groups and non-government organizations that also have an important stake in the standardization process include the Open Interconnect Consortium (OIC), the Industrial Internet Consortium (IIC) and the International Organization for Standardization (ISO) Liu added that the complexities of different manufacturing processes mean that industrial Internet technologies will be difficult to organize on a universal or global level There is also regional variations in how manufacturers operate Hence, all standardization efforts will still need to consider geographical contexts, and different regions will have different sets of agreements Intelligent production management systems based on emerging technologies and big data will spearhead the manufacturing revolution Smart manufacturing is a revolutionized production system built on sensor technologies, IoT networks, cyber-physical systems (CPS), cloud computing, and big data analytics Front-end sensors are responsible for monitoring the inside and outside of production facilities and collect data, which will be sent to the cloud computer via the Internet After further analysis and cataloging in the cloud, the data will become more logical and commercially useful With these organized data, manufacturers will be able to make decisions and send commands remotely to their facilities through a CPS, which might make additional optimization to the manufacturing process Smart devices combined with IoT networks moreover can simplify various tasks, such as coordination among various components of the production system (eg personnel and equipment), setup of self-regulatory mechanisms for the facilities, and predictive modeling Liu concluded that the smart manufacturing revolution will change not just how companies manage their production but also the whole industry chains

Press Releases
Global Spending on Smart Health Services to Grow at CAGR of 60% During 2016~2018, Says TrendForce



Developments in the Internet and the Internet of Things (IoT) will propel strong growth in industries related to smart healthcare in 2016 According to global market research firm TrendForce, worldwide spending on smart healthcare services (eg telemonitoring, diagnostic equipment, assisted living and bio-data tracking) will reach US$30 billion in 2018, growing at a CAGR of 60% from 2016 to 2018 TrendForce IoT analyst Jimmy Liu said progress made in smart healthcare applications will not only benefit the medical industry but other related industries as well, including robotics, cloud computing and medical equipment Currently a diverse range of new technologies are enhancing the overall quality of healthcare services The following is a summary of major trends in the smart healthcare market in 2016: Smart technologies will reduce the growing cost pressure of caring for an aging population and raise the standard for medical services The gradual arrival of an aging society (some even call the trend “hyper-aged society”) has an enormous impact on the entire structure of the medical industry Liu pointed out that smart technologies will help transform healthcare services so that they will become more flexible and open Major changes will be related to where services are provided (ie clinical and non-clinical care) and the choice of services offered (ie physician-patient relationship) For example, electronic medical record systems and disease information platforms advance the paperless operations of hospitals Cloud computing, robotics and medical equipment are emerging technologies that will find lucrative applications in smart healthcare A cloud-based healthcare system will use available information and communication technologies (ICT) to integrate the four major services – treatment, health management, medical care and preventative medicine – onto a single platform Such a solution will greatly improve the overall management of patient reports and personal medical records TrendForce estimates that the market scale of cloud-based healthcare systems will reach US$7 billion in 2016 Nursing care robots are another major source of opportunities in the smart healthcare industry Developments in this type of robots will concentrate on assistive care as well as communication and companionship features In the medical equipment industry, there is now a shift to the production of high-end products In the future, medical equipment manufacturers will work towards the in-house development of critical components and materials and the integration of hard- and software Their immediate aims are to unify their product solutions systematically, revolutionize their business models and promote brand-based services  Smart healthcare sets to optimize care management, personalized treatment and advance preventative medicine The Internet and IoT provide massive amounts of data that can be processed by ICT technologies and big data analytics This unrestricted flow of different kinds of information benefits both the medical industry and recipients of health services The industry can devise better tools while service recipients will gain extensive knowledge of their own health conditions With more data on hand, staff at health facilities will be able to create personalized services with individual consumers Illness prevention will also move closer towards realization

Press Releases
Market Size for Video Surveillance to Exceed US$40 Billion in 2019 Owing to Rising Demands in Smart Home Market, Says TrendForce


Telecommunications / Consumer Electronics

Smart home technologies have been developing rapidly since 2014 From Google’s US$32 billion acquisition of Nest at the start of 2014 to the 2015 CES earlier this year, the explosive growth in the smart home market was reflected by a proliferation of various application products According to Topology Research Institute (TRI), a division of TrendForce, the smart home market can be further divided into these major application segments: home security, central control, home entertainment and appliances Jimmy Liu, Internet of Things (IoT) analyst at TrendForce, said home monitoring and security solutions represent the largest (and growing) demand in the smart home market Hot products in this segment include video surveillance systems, smart door locks and smoke detectors Video surveillance systems in particular have the largest share within this application product market Based on TrendForce’s forecast, the video surveillance market is set to grow at a CAGR of about 19~20% between this year and 2019, when its market size will also surpass US$40 billion “Traditional video surveillance systems use peer-to-peer networking and allow users to conduct real-time monitoring via their mobile devices,” said Liu “As mainstream surveillance products enter the age of smart technologies, they will also incorporate value-added services that are cloud-based” Features such as instant notification, playback, event analysis, facial/behavioral recognition and motion detection will gradually turn traditional video surveillance systems into more comprehensive home security solutions Besides safeguarding one’s residence, these next-generation security systems can also act as indoor monitoring and home care service platforms Different sensor components, some of which are already added to video surveillance equipment, are also being introduced to other areas of home automation There are already many sensor-based products that monitors all aspects of home environment, such as thermostats, window/door sensors and detection systems for smoke, gas and flame Once installed, these products can work in conjunction with mobile devices, providing homeowners instant notifications Moreover, these smart home solutions may even offer preventative and proactive security features that warn intruders and expel them from homeowners’ properties The development trend is towards personalized home security systems that can respond to different situations in real time Later on, these systems will be able to link up multiple smart homes and create neighborhood (or community) networks that can provide collective security and other related services to residents in given areas, thus creating additional values Developments in IoT technologies continue to create business opportunities in the smart home market, from home security and home care to a wide range of other services Product developers will not only need to address issues related to safety and convenience, but they also have to make sure that these technologies reflect the core values of individual residences that adopt them Hence, TrendForce believes that the smart home market will simultaneously support and raise values of numerous interrelated industries in the future

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