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Tech Trends – Predictions for 2019

Over the past year, tech industries have continued to evolve at pace, with a host of emergent technologies such as EDGE computing, machine learning and robotic process automation poised to reshape the ecosystems across an array of key verticals.

Juniper Research provides an assessment of what it  believes will be the critical developments in the tech space over 2019.

  1. Adversarial Machine Learning Becomes Key for Security & Fraud Prevention

Machine learning has had its advantage in effectively delivering rapid prediction of trends and establishing robust risk management and inference. Much investment, time and focus by organisations has been dedicated to programming and training machine learning algorithms to fulfil these functions. However, if these algorithms become compromised, they will be prone to attacks from threats and viruses.

  1. AI to enhance EDGE Computing Power in IoT systems

Over the past 12 -18 months, the concept of EDGE computing to power the Internet of Things (IoT) applications, devices and systems surface has become a significant trend in the digital industry. Juniper forecasts that the total number of connected IoT sensors and devices will exceed 50 billion by 2022, up from an estimated 21 billion in 2018 . This growth, will be driven by EDGE computing services, increasing both deployment scalability and security. It expects cloud corporates to potentially lead this space strongly , given their experience and background in AI.

  1. Banking-as-a-Service economy emerges

Juniper expects the emergence of banking-as-as-servive to be a key driving force in the world of finance in 2019. Most particularly, this will enable new types of banking services to be offered by new players, who can handle the cross - platform requirements for banks unfamiliar with the technological requirements. Banks will have more platforms through which to engage their customers. More types of product will give them a larger presence, and thus more ways to make their products more sticky to customers.

  1. RCS messaging to contest chatbots & OTT business platforms

RCS (Rich Communications Systems) has undergone a significant transformation from previous iterations of the messaging technology. Support of RCS will continue to grow over 2019 – amongst both operators and handset vendors. At present, there are over 60 operators supporting the service globally – with more operators expected to announce their support in 2019. Juniper anticipates advertising and retail to be the first industries to adopt RCS messaging on a large scale, further encouraging a number of other industries to look into the service.

  1. Robotic Process Automation (RPA) ramps up

RPA has, for many years, been used to automate very simple, repetitive business tasks. However, owing to advances in machine learning algorithm modelling, RPA software systems can be trained to automate a wider set of tasks than ever before. This effectively enables a workforce of software agents to manage dynamic data inputs. Juniper anticipates that in 2019, we will see a number of service providers continuing to invest in AI - based

  1. Voice assistants become a service-led market

The key opportunity here is for voice assistant providers and their partners to use the platforms to deliver a range of digital services. This follows the somewhat lacklustre uptake of voice commerce, and will provide a firmer basis for monetisation of a rapidly growing platform; Juniper expects 93 million smart speakers to be in use by the end of 2019, providing a large base for the use of these products and expects these to be used in 9% of households worldwide by the end of 2019, reaching over 40% in some developed markets.

  1. Automotive OEMs to disrupt established business models

Telematics services is fast becoming ubiquitous within all new models of vehicles, owing to both automotive OEM (original equipment manufacturer) efforts in inclusion and – in some regions – legislation mandating the technology’s inclusion. Given that 5G network launches are anticipated experience commercial launches in 2019, the capabilities of vehicles are likely to increase further, enabling new services such as Vehicle-to-Everything.

Growth of data from automotive services is anticipated to grow 700% over the next 5 years – driven by the increase in the number of vehicles that have access to connected car services and said emerging new services.

  1. Blockchain moves into the food chain

Blockchain provides a tamper-proof way of tracking the source of foods. The indelible nature of the blockchain record, linked to technologies like RFID for a utomated tracking of food pallet s and items, means that foods can be tracked and linked easily from place to place.

Juniper believes that 2019 will be the year this technology begins its worldwide roll-out, tracking around $150 million worth of food by the end of the year. Several pilot projects have already been carried out and brought to satisfactory completion by a wide range of platform providers in 2018; 2019 will see the first deployment of these technologies at full commercial scale and used for producers.

  1. Loot boxes to be banned across Europe & North America

Found in video games, loot boxes are in-game packs often gifted to players as a result of completing in-game tasks and achievements. IAs this practice involves a degree of luck, cases are being made that this constitutes a form of gambling and public bodies have requested that it be regulated .

Notable action has been taken in the Netherland s and Belgium against the game publisher, EASports, regarding their FIFA titles, in which loot boxes are a prevalent feature. The most pressing issue that law makers face is the ability for these services to be accessed by minors. Juniper Research believes that 2019 will be the year in which loot boxes are banned.

  1. Chatbots to play central role in insurance claims process

Chatbots aid insurance firms, and the finance industry, to offer personalised answers, give greater automation during claims processing and reduce response times. AI and machine learning enable the insurance industry to deliver high quality levels of customer satisfaction and engagement , as well as sell better tailored products to consumers. The costs saved by chatbots compared to implementing an insurance agent operation is the highest out of all chatbot verticals.

FOR DETAILS OF THE FULL REPORT CONTACT:  sam.smith@juniperresearch.com

t.+44(0)1256 830002

Juniper Research provides research and analytical services to the global hi - tech communications sector, providing consultancy, analyst reports and industry commentary.

 

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