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NG-PON2-based GPON market to accumulate substantial proceeds by 2024, surging IoT penetration to drive the industry trends

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In world being blitzed with emerging applications that include Internet of Things, 5G network and 4K video streaming, GPON market is expected to find immense growth opportunities over 2018-2024. For instance, earlier in 2018, SK Broadband of South Korea announced that it will be launching high-speed internet service that will be capable of delivering 2.5 gigabit per second. The service will allow users to download high volumes of content using multiple devices while the service will be 3 times faster than most of the South Korean internet services that are already quite fast.

Europe GPON Market Revenue, By Application, 2017 & 2024 (USD Million)
Europe GPON Market Revenue, By Application, 2017 & 2024 (USD Million)

The technology at the basis of making this possible is Gigabit Passive Optical Network or GPON and while SK Broadband’s current coverage is 40%, the company plans to invest 1 trillion won and expand up to 80%. Korean rival KT is also planning to roll out similar services and the South Korean government is also planning to roll out 5G wireless internet in 2019. With such developments not being bound to South Korea alone, it is predictable that the GPON market will witness significant growth in the ensuing years.

The world, currently replete with an increasing number of connected devices and robust development in machine to machine communication, is swiftly preparing itself to implement 5G technology. The only viable way to benefit from such emerging applications is by having the right network backbone in place – which paves the way for the growth of GPON market. According to reliable statistics, the global IoT market nearly doubled in size between 2014 and 2017. There were nearly 23.14 billion IoT devices in the world in 2018 which is estimated to cross 31 billion by 2020. The global IoT market is anticipated to register its name in the trillion-dollar industry space by 2019 with 20.35 billion devices across the globe as smart, connected cities that will be using connectivity, communication technology and information to solve urban problems deploying IoT for the purpose. With IoT market having already chronicled its name in the billion-dollar vertical, IoT proliferation is further expected to add to the growth of the GPON industry.

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Speaking of IoT it is imperative to mention the onslaught of 5G networks and their support in bringing a whole new dimension to the GPON market. the business world is looking forward to the adoption of 5G as when it is becomes a widely used reality, 5G is poised to become a disruptive force. Applications such as virtual reality, augmented reality, artificial intelligence and telepresence, that have been built on underlying technologies are expected to benefit from massive data pipes and ultra-low latency. While industrial automation and robotics will become a reality, cars and drones will become capable in communicating with each other taking machine to machine communication to a whole new level. With enhancement in machine communication capabilities it is expected that increasing innovation will further increase the need for better 5G performance and eventually lead to expansive prospects for the GPON market.

Notably, NG-PON2 would be the fastest growing segment in the GPON market with a CAGR of approximately 20% over 2018-2024. The emergence and progress of 5G will act as the most important driver for the NG-PON2 segment and this has been underlined by Altice, the international network operator that has announced that it will be expanding its NG-PON2 capabilities as it prepares for disaggregated radio access network architectures and potentially overwhelming data traffic volumes brought about by the advancement of 5G. The operator aims at supporting 5G services with full support for residential, commercial, fronthaul and backhaul service requirements and strategizing to save deployment costs while creating a positive business case for fiber as an enabler of 5G services.

With the demand for futuristic technological development on the rise, GPON market is expected to register significant profits as it becomes the enabler of disruptive forces like 5G network.

Author NameParoma Bhattacharya

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Network automation market to record a staggering CAGR of 22% over 2018-2024, global industry expansion to be characterized by technological advancements and startup acquisitions

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Disrupting the conventional ways of building digital infrastructure, the network automation market has emerged as one of the most enterprising niche verticals of the sustainable and smart industry. Prominent tech giants and multinational corporations around the globe have increasingly focused on implementing new methodologies to reduce manual configuration errors which are believed to cause the majority of network outages.

China Network Automation Market Share, By Application, 2017
China Network Automation Market Share, By Application, 2017

In this context, network automation has evolved into one of the crucial technologies that have enabled businesses to decrease manual configuration errors and risk through effective compliance reporting, improved network service availability, enhanced performance and staff efficiency, and augmented data security infrastructure. As per reliable estimates, the overall network automation market size had been pegged at an appreciable USD 1.7 billion in the year 2017.

Besides providing a wide range of connectivity applications, the SD-WAN technology has assisted numerous business verticals to reduce complexities in physical network infrastructure. The advent of advanced computing technologies such as machine learning and artificial intelligence has disrupted the digital business models – a factor that can be attributed for large scale adoption of SD-WAN technology in the last few years. In fact, as per a research study compiled by Global Market Insights, Inc., the SD-WAN technology apportioned more than 67% of the total revenue share of network automation market in 2017 and is anticipated to hold a prominent spot in the overall software segment in the upcoming years.

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Concurrently, traditional networks are increasingly being replaced by virtual and cloud-based applications which has fundamentally transformed the growth strategies of major firms partaking in network automation market in the recent times. Numerous startups have been developing automation solutions that can configure manually-managed network devices, improve security capabilities, and supervise service offerings more efficiently. In this context, it would be prudent to mention that prominent tech giants have focused on acquiring these startups as it would assist them in augmenting their resources to deliver next-generation solutions that would serve all size and scale of customer needs. Enlisted below are a few instances that underscore how these acquisitions are shaping the network automation industry trends:

  • To strengthen its service management portfolio and optimize its digital assets, IBM acquired the California-based network automation software provider Intelliden in 2017. Reportedly, Intelliden assists telecom firms to manage, configure, and scale their networks and automate an array of other services. Apparently, the technology of Intelliden would be integrated into IBM’s Tivoli Software which is known to enable various businesses to combine service delivery and significantly accelerate the automation of networks.
  • With an aim to offer its customers an SD-WAN solution that is easy to deploy across enterprise branch offices and other WAN installations, Cisco has recently acquired an emerging WAN solutions provider Viptela for USD 610 million. Even though Cisco has a robust WAN product portfolio consisting of Intelligent WAN and Meraki SD-WAN, the addition of Viptela’s unique technology would reportedly expand and improve the overall functionality of the company’s WAN solutions in the times to come.

Implementing network automation solutions through cloud-based services has lowered capital expenditure and operational costs, enabling enterprises to scale their technological capabilities at a faster pace. Primarily driven by growing opportunities to offer enterprises with additional services like monitoring, security, and application optimization beyond basic automation tasks, the network automation industry share is anticipated to expand vigorously over the estimated timeframe. With rising investments by major tech firms coupled with innovative products being launched by startups, the network automation market size is forecast to register an excellent y-o-y growth rate of 22% over 2018-2024.

Author NameSaif Ali Bepari

APAC AI in Retail market to witness phenomenal proceeds over 2018-2024, China to be the chief revenue pocket

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Endorsed with a rich portfolio of digitally empowered consumers, artificial intelligence in retail market has been acclaimed as one of the most progressive verticals in the recent years. In the year 2017, this business space registered a global share of USD 650 million and is forecast to record a CAGR of 40% over 2018-2024, which is indeed humongous. With retail space becoming affluent with more number of e-commerce platforms as well as startups with huge technology appetite, the adoption of AI in retail market is bound to proliferate. Add to it, the technology is witnessing a slew of opportunities in sync with the hi-tech trends including the like of blockchain, AR, and Internet of Things establishing its footprints in the retail domain. Amidst all these tech interventions, the focal point of this consumer-driven industry remains delivering unrivaled shopping experience to the customers as well as ensuring optimal management of resources and stocks.

U.S. Artificial Intelligence (AI) in Retail Market Share, By Technology, 2017 (USD Million)
U.S. Artificial Intelligence (AI) in Retail Market Share, By Technology, 2017 (USD Million)

One of the classic examples of leveraging the AI technology is of Baidu, China’s renowned artificial intelligence market player. The company grabbed the headlines with its attempt to promote its AI technology in aiding convenience stores manage their food stock more efficiently and resourcefully. For the record, the search engine giant has been supporting Ping++, an AI service provider since September 2017 to work with Today, convenience store chain with regard to a fresh food project. Under the terms, the company utilizes PaddlePaddle, a deep learning platform by Baidu along with its CTR model. Reportedly, the implementation of these technologies had a positive impact on the sales, post which Baidu introduced this model to dozens of stores for testing. In testing stores, the profits surged by 20% and food waste dropped by 30%. The instance vividly portrays the huge scope of artificial intelligence in retail industry. Since the past two years Baidu has invested over USD 1.5 billion in AI research in addition to its investment of USD 200 million for the development of a new R&D facility.

In fact, the Chinese market having the three most powerful names of the retail and tech space – Alibaba, Baidu, and Tencent (collectively touted as BAT), is betting big in the global AI in retail industry space. The three giants which are claimed to have a cut throat competition with the U.S. in terms of resources and capital are positioning themselves to become the ‘future AI platforms’. The trio is also expanding in other Asian countries and investing heavily in U.S. based AI startups to leverage the power of AI. Backed by such powerful initiatives and presence of these conglomerates, APAC AI in retail market is forecast to be the fastest growing region, with an anticipated CAGR of 45% over 2018-2024.

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Further elaborating on the geographical trends, North America having procured more than 50% of the global share in 2017, has been leading the regional landscape of AI in retail market. U.S. has a major credit in the phenomenal regional trends with over 65% of investments (including M&As, private equity, and venture capital) in artificial intelligence technology. Add to it, the region is a major hub for startups in tandem with the presence of tech titans such as Google, IBM, and Microsoft.

Analyzing the aforementioned trends and the penetration of AI in retail industry, it is overt that the traditional retail model is bound to witness a disruption of sorts. The technology penetration will reshape the entire inventory management and operation cycle of the retail stores, thus providing a renewed shopping experience to the customers. Not only the efficiency and sales of the retail space will see an upsurge but through the proliferation of AI in retail market, the worldwide economy will progress massively, opening doors for several hi-tech startups and a plethora of new job opportunities. In terms of profitability scope, the overall AI in retail industry share is anticipated to surpass USD 8 billion by 2024, with untapped economies gaining major traction in terms of investment.

Author NameOjaswita Kutepatil

Artificial Intelligence (AI) in BFSI Market to register a phenomenal CAGR of over 30% over 2018-2024, insurance and banking sectors to drive global industry progression

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The excellent growth dynamics of the global artificial intelligence (AI) in BFSI market can be traced by the recent instance of Metromile, a leader in pay-per-mile car insurance in the U.S., launching its new AI-based smart claims assistant, AVA. The automated system reportedly utilizes machine learning capabilities to reconstruct the accident scene and promptly ascertains if claim details are true. Apparently, the claim is approved within seconds after the details are verified and the AI-based tool further notifies the car owner of the expedited claim. With the increasing adoption of high-grade technologies such as IoT and Big Data, the commercialization potential of AI in BFSI industry has observed a marked uptick in the past few years.

U.S. Artificial Intelligence in BFSI Market Share, By Solution, 2017 (USD Million)
U.S. Artificial Intelligence in BFSI Market Share, By Solution, 2017 (USD Million)

Elaborating further, the unveiling of AVA signifies the transformative phase being witnessed across the worldwide insurance sector where prominent AI in BFSI industry players have been increasingly deploying advanced algorithms to enhance the underwriting process. This has, in turn, impelled the insurance segment of the AI in BFSI market which is forecast to register an outstanding y-o-y growth rate of over 38% during 2018-2024.

A brief insight of how banking sector has been shaping AI in BFSI industry trends

Over the past few years, numerous globally renowned banking institutions have been pouring in massive funds to develop cutting-edge AI applications that have invariably assisted them in optimizing performance, consolidating remuneration streams, and better serving their customers. In this regard, banks are increasingly forming partnerships with fintech corporations to integrate the latest technologies into banking products and services which has resulted in the development of advanced customer behavior analytics inventions, chatbots, and customer relationship management (CRM) solutions. Enumerated below is a succinct outline of how banks have been readily embracing AI-based solutions that has subsequently transformed the strategic and competitive landscape of AI in BFSI market:

  • Embarking on its AI and automation journey in September 2017, State Bank of India unveiled its first AI-powered chat & voice assistant, named as SBI’s Intelligent Assistant or SIA. The chatbot reportedly aids customers with everyday banking tasks just like a bank representative and has a remarkable capacity to handle close to 10,000 enquiries per second or 864 million in a day. Arguably, the deployment of an AI-based solution of this scale is cited to be first of its kind in the banking segment of the global AI in BFSI market. With an astonishing customer strength of around 420 million, State Bank of India’s latest move towards integrating AI is being viewed as a major leap of faith for India’s banking sector.
  • Regarded as one of the world’s largest banks, the U.S. based JPMorgan Chase has recently launched a digital platform that analyzes legal documents and extracts the relevant data. The AI-based invention, named as Contract Intelligence (COiN) platform, is an outcome of the initial implementation through machine learning technology and has an exceptional ability to revise approximately 12,000 annual sales agreements within minutes. The platform is being aptly termed as revolutionary across AI in BFSI industry given the fact that it effectively eliminates the need to manually review the said number of sales agreements which generally takes around 360,000 hours.

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Owing to the launch of intuitive, easy-to-use, and highly-efficient AI-based tools, the banking segment of the AI in BFSI market has been proliferating at an exceptional pace in the recent times. In fact, as per a research report compiled by Global Market Insights, Inc., the banking segment apportioned more than 50% of the total remuneration portfolio of AI in BFSI industry in the year 2017. With the unveiling of advanced AI technologies that provide real-time insights into every aspect of banking operations and leverage the abundance of data to gain a granular understanding of consumer behavior, the banking segment is slated to lead the end use spectrum of this business space over the ensuing years.

Infusing AI-based applications across a diverse set of operations has brought about a momentous shift in the ability of organizations, working in the BFSI domain, to swiftly analyze, comprehend, and respond to vast amounts of data which has consequentially augmented the revenue share of companies operating across AI in BFSI market. With the advent of advanced machine learning algorithms, data analytics solutions, natural language processing techniques, the AI in BFSI industry space is anticipated to register an overwhelming CAGR of 30% over the estimated timeframe.

Author NameSaif Ali Bepari

Top 2 trends prevalent in retail analytics market: Harnessing IoT and big data to revolutionize the retail fraternity

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One of the latest trends proliferating retail analytics market is that of multiple operational channels. Or, as the experts say so – omni-channels. The technique has brought about a modest amount of consolidation in retail analytics industry, surreptitiously eliminating supply chain chaos and location glitches. While global markets have been attempting to emulate high-grade technology and big data analytics, the retail sector has quietly been engaging with omni-channels to entice more customers, keep them continually engaged, draw data from a stream of sources, and bring about extensive social engagement to trigger a better understanding among consumers regarding the distribution chain. This initiative fosters the deployment of efficient analytics, which will ultimately usher in a new dawn for retail analytics market. The extensive reach of the retail business, in conjunction with the steadfastly developing e-commerce sector, is also certain to act as a catalyst to Retail Analytics Market, which, as per experts, is forecast to cross a valuation of USD 13 billion by 2024.

U.S. Retail Analytics Market Size, By Function, 2016 & 2024 ($Mn)
U.S. Retail Analytics Market Size, By Function, 2016 & 2024 ($Mn)

Retail analytics is essentially the process of delivering critical insights about a myriad range of retail verticals such as supply chain models, distribution chain, inventory levels, sales, and consumer demand, that form the crux of making crucial decisions, In a nutshell, retail analytics industry encompasses an enormous scope, given the fact that the deployment of data analytics in the retail market gives companies an inherent overview of business, processes, and customer insights, thereby opening up the channels for improvement and progress.  IBM’s recent partnership with SAP for jointly developing data solutions for the retail sphere is an instance of how companies have been forging partnerships to lead retail analytics market on the path of progress.

Top trends underlining retail analytics market:

Cross-platform analytics

With the retail space spread across numerous distribution channels, the onus is on big data analytics solutions to track data as minutely as possible. Consumers may use one or more channels to view a product and make an informed choice. Analytic solutions need to able to penetrate this barrier and unearth the audiences through all these platforms in order that retail giants are able to provide a seamless shopping experience.

The extensive demand for real-time data to be communicated across the value chain – sales staff, consumers, distributors, and the like will thus, prompt retail analytics market players to come up with a range of effective solutions. Lately, the proliferation of technology has led to the massive deployment of both on-premise and cloud-based solutions, which will eventually result in the development of retail analytics market.

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The proliferation of IoT

IoT is the latest incantation being followed by major giants partaking in retail analytics industry share. With the retail sector, consumer is king, and high-grade consumer experience can only be obtained via the deployment of IoT and augmented reality. The former in fact, is nearly on the verge of encapsulating retail analytics market. If estimates are to be believed, retailers may spend more than USD 2 billion on IoT-enabled devices by 2020. Furthermore, more than 65% retailers will depict an earnestness to integrate connected devices in their business models – a fact which may transform the face of retail analytics market.

The deployment of IoT has a plethora of benefits to offer, right from efficient data collection, consumer movement monitoring, real-time supply and demand analysis, and so on. Considering the vast expanse of the retail sector and the intense competitive aura that permeates this space, it is certain that the adoption of connected technology will augment retail analytics market.

An inherent shift of dynamics has been observed in the deployment of predictive analytics lately. This type of analytics basically entails guesswork regarding consumer behavior and choices and has proved to be fairly successful in retail analytics industry, in the initial years of inception. With the passage of time however, the need for a more efficient, practiced methodology arose in retail analytics market, which resulted in the genesis of an explanatory business model. This type of analytics gives an extended explanation of data – inventory requirement, store requirements, consumer demand, and product trends -in other words, this type of analytics identifies trends that may have a sizable impact, which is a godsend in retail analytics market.

What can be deduced from this transformative trend is that the retail sector has been on the lookout for novel technologies to forge a connection with consumers. In order to be a part of this ever-changing spectrum, it is essential for retailers to bring about a change in their outlook to create value. This modified school of thought is certain to usher in a unique speculation of sorts for retail analytics market giants, who have been bending over backwards to codify a new set of advanced solutions for the retail sector. Inadvertently, it is expected that their efforts will bear fruit, and retail analytics market will establish new frontiers of growth in the years ahead.

Author Name : Saipriya Iyer