Telecom order management serves as a critical process for telecom providers, as it entails dozens of sub- processes and often involves multiple departments, systems, and partner organizations, making it operationally complex. However, numerous benefits offered by telecom order management solutions, such as allowing customers to capture and process different services, modify existing orders, process customer moves, and provide price quotation to the customers, eliminates the complexities associated with telecom order process, and propels the growth of the market. The key purpose of telecom order management solution is to verify and process the telecom order based on its product catalog and service catalog. Rise in demand for network installations across rural areas and rapid increase in connectivity devices & subscribers are the major factors that drive the growth of the global telecom order management market. Furthermore, integration of advance technology such AI, machine learning, and Big Data and lack of standardization & compatibility issues with the existing systems are anticipated to provide lucrative opportunity for market expansion.

A significant portion of testing, inspection, and certification work is outsourced. This is benefitting the independent TIC companies, primarily due to high growth rates and operating margins, and reliable revenue streams. TIC companies are leveraging technologies, such as Big Data and even drones (unmanned vehicles), in order to stay competent, while providing enhanced services to their customers. For instance, Bureau Veritas, in December 2018, collaborated with Delta Drones, in an effort to emerge as the leading TIC company, primarily to serve the agricultural sector in Africa. The partnership is aimed at developing solutions for precision agriculture, based on crop inspection, by drones. Bureau Veritas was also involved in a joint investment project (remote evaluation of coatings/corrosion on offshore machiner y and marine structures/ships (RECOMMS)), to develop drones that have the capability to inspect steel structures in enclosed spaces.

Automotive blockchain is used to keep a track of data for the processes related to an automobile, such as smart contracts, IoT along with other processes involved in car sales, service, warranty claim processing, and other related processes. The automotive related data stored in a blockchain is authentic and cannot be hampered by the users of the system; thus, providing safer and securer data to its customers. Moreover, it helps the buyer and seller to avoid middlemen or third parties to involve in transactions or other processes. Automotive blockchain includes applications and solutions that are helpful for better functioning of the system. This includes a middleware acting as a bridge between the application and database for storing and retrieval of data. Various players operating across the globe have made innovations and developments in the field of automotive blockchain; thereby, offering variety of services to the vehicle users.

The advancements in information and communication technologies are forcing the educators and learners to move past the constraints of time, space, and environment. While traditional classroom education is well-known learning systems outside the classroom, especially those enhanced through technology, are still being discussed. Massive open online courses (MOOCs) represent the final stage in distance education, as these offer open educational resources to the students all around the world. MOOCs are designed to be scalable to large online masses, with free participation and without formal requirements to provide opportunity to learn through hundreds of public and private universities or organizations for millions of individuals around the world. However, since MOOCs became mainstream in 2012, their completion rates remain a highly debated subject, ranging from 0.7% to 52.1%, the median value being 12.6%. The first-generation MOOCs (cMOOCs) were connectivist, student-driven, chaotic, and open-ended. cMOOCs have continued throughout the years through examples, such as CCK08 (2008), PLENK2010 (2010), MobiMOOC (2011), etc. Unlike cMOOCs, xMOOCs or AI-Stanford-like courses are based on cognitive-behaviorist and social constructivism approaches and are web pages, in which the instructor provides video-based courses to a large number of learners.

3D mapping and modeling technologies are one of the fastest ways to build 3D environments in the highly demanding market. 3D mapping solutions quickly creates 3D maps of the surroundings, with utmost clarity and accuracy, ready to plug into professional visualization operations. 3D modeling is used to develop a 3D surface of an object, that can be displayed via a specialized software, which can then be displayed through computer simulation. This data is used as data points to create a finished end product, which can be used across various industries. Few industries that are significantly making use o f these data points are the a utomo tive a nd pub lic infrastructure end users. This can be integrated with the building and construction end user to be used for modeling smart cities and legacy cities, 3D site design, terrain modeling, and a model-based infrastructure planning and management.

The usage of labels has increased manifold across many end-use sectors. Factors like technology and cost continue to drive changes in the labeling industry. Businesses have become aware of the potential for profit and the impact of consumer interaction on the success of a product. With numerous options in the marketplace, brand and label recognition is essential, especially to capture the customer’s attention.

The rate of unemployment has been high in the past. However, it has decreased in the recent years due to the rising number of young jobseekers and growing economic growth of various countries in APAC, including India and China. Strong internet infrastructure in Asia-Pacific has enabled applicants to search for jobs in various industries anytime and anywhere. The robust internet infrastructure providing an online platform for hiring process is also benefitting the employers looking for potential candidates from Asia-Pacific region. A rising number of young jobseekers is one of the substantial factors boosting the adoption of corporate assessment services as this rise is compelling organizations to conduct the process of recruitment with the assistance of tools such as cognitive, personality, language proficiency tools, and so on. They can also access online platforms for assessing tests along with figuring out new forms of work in several industries, which can provide flexibility to them while searching a job.

Smart labels are becoming one of the most popular technologies across the retail, healthcare, and logistics sectors, among others, and are viewed as an ideal means to achieve greater efficiencies and profitability, while providing the authenticity of an item and its traceability from the warehouse to the distribution center throughout the supply chain. These labels are used as a tool to enable smart supply chains and are also playing a vital role in the marketing and advertising of consumer products, which can be achieved through the provision of product information, as well as the analysis of consumer buying patterns that can be accessed from the data collected by these labels. Cost cutting over the supply chain, to be closer to the nearest level of efficiency, by manufacturers, has been a critical factor that has augmented the demand and prompted the proactive adoption of these solutions to gain the first mover advantage in the individual end-user industry.

An ideal care management solution addresses all the problems faced in five critical parts of the healthcare system i.e. data integration, patient stratification and intake, patient engagement, care coordination, and performance measurement. These solutions are observing a significant rise in the demand from the current market perspective.  There is a swelling pressure on healthcare providers to cut the overall costs and improve patient care. The challenges in the digital transformation of the healthcare industry can be envisaged considering the process of version control when it comes to managing millions of non-uniform electronic patient records, integrating with social and healthcare information, personal data privacy, drug theft, and counterfeiting and developing infrastructure to connect countless trusts, hospitals, surgeries, and clinics. Care management, when done at its best, tends to reduce the cost and increase the quality of care for those individuals identified in the program. While Medicare data suggests that only 5% of a healthcare organization’s population consumes 50% of its resources, health systems must look beyond that 5% and also use a strategy that may allow them to identify and work with the people they may impact the most.

Predictive analytics offers companies actionable insights based on data. It delivers estimates about the likelihood of a future outcome. Companies are using these statistics to get a forecast of the future developments. Moreover, the foundation of predictive analytics is based on probabilities. Prescriptive analytics uses techniques and tools such as business rules, algorithms, machine learning (ML) and computational modelling procedures. This kind of technique is applied against input from many different data sets including historical and transactional data, real-time data feeds, and Big Data. The businesses and enterprises that are already using some sort of descriptive analytics tools and solutions are better positioned for predictive and /or prescriptive analytics solutions adoption. The presence of historical data to forecast from and run algorithms makes them use these solutions more effectively. The demand for business intelligence has been on the rise, in recent years, with enterprises and organizations planning to enhance productivity and increase sales by adopting automated solutions. Therefore, BI tools have witnessed a tremendous rise in its adoption across various industries around the world. Additionally, predictive and prescriptive analytics is helping in boosting the demand for business analytics among the BI professionals, as Big Data is becoming the focus of analytics processes that are being leveraged not only by the big enterprises, but also by the small and medium-sized businesses alike. Moreover, the development of better visualization tools, as well as incorporation of NLP and voice input capabilities have further added to use ease of use.

Large number of next gen memory technologies are under development which promise to meet the growing demand of consumer electronics and enterprise storage systems and applications. Smart phone and other consumer electronics OEMs in particular are looking for the next big competitive advantage, and all signs point to new memory technologies as the most powerful choice. The traditional memories, DRAM and NAND, are falling off Moore's law and therefore research and development is going on for new memory devices. Also, a lot of industries are experiencing technology convergence, resulting in increased complexity of their systems. This convergence is evidenced in numerous devices such as automotive, smartphones, wireless communication and smart factories. In 2017, the information electronics industry saw another peak which resulted in the serious shortage of spare parts. Thus, manufacturers increased their production capacity to meet demand supply gap. Also, introduction of innovative features such as the face recognition in mobile phone by Apple Computer, which later fermented on many application surfaces, including the other mobile phones, access control, unmanned vehicles, automotive, etc. This will increase the demand for highly complex natured integrated circuits (ICs) in coming years. Such trends along with increasing complexity in consumer electronics design and growing automotive expertise is also expected to drive the demand for SLC NAND flash memory worldwide.

When compared to several industries, such as the financial services sector, healthcare sector etc., the adoption of blockchain technologies in the manufacturing sector is considerably low. Dynamic nature of the market, and significantly high costs of the blockchain technology services and solutions have limited the penetration of blockchain solutions in the manufacturing sector. However, as the global manufacturing output is stabilizing, the demand for blockchain solutions in the manufacturing sector, especially from large scale operators, is increasing rapidly. According to UNIDO, the world manufacturing value-added increased by 3.6% in 2018, with the leading countries being China, United States, Japan, Germany, Republic of Korea, India, Italy, France, United Kingdom, and many more. The manufacturing industry is also on the verge of technological advancements with the shift from pure mechanics or electromechanics to mechatronics, which is, in turn, increasing the scope for automation. Such developments in manufacturing are diminishing boundaries of domains and increasing the influence of IT and electronics.

The report provides market dynamics and trends related to the global mobile banking market. In addition, it presents the market estimations and forecast of the market. The study estimates the revenue generated from the sales related to banking products and services via mobile banking applications and solutions in the market. However, the report excludes revenue generated from sales and post-sale services of mobile banking. For the purpose of analysis, the global mobile banking market has been segmented on the basis of transactions, platforms, and region. The study estimates revenue generated from the sales of mobile banking products and services such as money management, ability to set spending limits on a credit or debit card, complete contactless payments either in-store on online, and other such services via mobile application. Moreover, the platform segment comprises of android, iOS, and others.

The term ‘smart factory’ refers to the various fully integrated automation solutions adopted for manufacturing facilities. Such integration helps in streamlining the material flow during all the processes involved in the manufacturing, thus enabling effective movement of materials across the factory floor. Several manufacturing companies are capable of achieving zero waste production and shorter time-to-market. Effortless monitoring, reduction of waste and speed of production are some of the major advantages of automated manufacturing processes. This technology offers users an improved quality of standardization, as well as dependable products, within the time and at much lower cost.

Smart communities and smart cities which are based on intelligent and efficient infrastructure and services is the ultimate goal - and many of the current trends occurring in the telecommunications sector are geared towards achieving this. In order to meet this holistic goal of creating smart cities - which are better designed to meet the needs of the future; we need to ensure the appropriate telecoms infrastructure is in place that provides sufficient abilities to cope with enormous data demands and provide the essential backbone required for such immense and important developments. The core infrastructure required to achieve these goals includes high-speed broadband, based on fibre; LTE-A or 5G technology and Mobile Satellite Services (MSS).