SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of network elements at the time of deployment, right through to dynamic optimization and troubleshooting during operation. Besides improving network performance and customer experience, SON can significantly reduce the cost of mobile operator services, improving the OpEx-to-revenue ratio and deferring avoidable CapEx.
To support their LTE and HetNet deployments, early adopters of SON have already witnessed a spate of benefits - in the form of accelerated rollout times, simplified network upgrades, fewer dropped calls, improved call setup success rates, higher end-user throughput, alleviation of congestion during special events, increased subscriber satisfaction and loyalty, and operational efficiencies - such as energy and cost savings, and freeing up radio engineers from repetitive manual tasks.
Although SON was originally developed as an operational approach to streamline cellular RAN (Radio Access Network) deployment and optimization, mobile operators and vendors are increasingly focusing on integrating new capabilities such as self-protection against digital security threats, and self-learning through artificial intelligence techniques, as well as extending the scope of SON beyond the RAN to include both mobile core and transport network segments - which will be critical to address 5G requirements such as end-to-end network slicing. In addition, dedicated SON solutions for Wi-Fi and other access technologies have also emerged, to simplify wireless networking in home and enterprise environments.
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Largely driven by the increasing complexity of today's multi-RAN mobile networks - including network densification and spectrum heterogeneity, as well as 5G NR (New Radio) infrastructure rollouts, global investments in SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, SNS Telecom & IT estimates that SON will account for a market worth $5.5 Billion.
The “SON (Self-Organizing Networks) in the 5G Era: 2019 - 2030 - Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem, including market drivers, challenges, enabling technologies, functional areas, use cases, key trends, standardization, regulatory landscape, mobile operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, and 6 regions from 2019 till 2030.
The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.
Topics Covered
The report covers the following topics:
- SON ecosystem
- Market drivers and barriers
- Conventional mobile network planning & optimization
- Mobile network infrastructure spending, traffic projections and value chain
- SON technology, architecture & functional areas
- Review of over 30 SON use cases - ranging from automated neighbor relations and parameter optimization to self-protection and cognitive networks
- Case studies of 15 commercial SON deployments by mobile operators
- Complementary technologies including Big Data, advanced analytics, artificial intelligence and machine learning
- Key trends in next-generation LTE and 5G SON implementations including network slicing, dynamic spectrum management, edge computing, virtualization and zero-touch automation
- Regulatory landscape, collaborative initiatives and standardization
- SON future roadmap: 2019 - 2030
- Profiles and strategies of more than 160 leading ecosystem players including wireless network infrastructure OEMs, SON solution providers and mobile operators
- Strategic recommendations for SON solution providers and mobile operators
- Market analysis and forecasts from 2019 till 2030
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Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:
Mobile Network Optimization
- SON
- Conventional Mobile Network Planning & Optimization
Regional Markets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe
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JULY 23, 2020: “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze.
Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors.
The insurance industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and personalized products to usage-based insurance, efficient claims processing, proactive fraud detection and beyond.
To Request A Sample Copy Of This Report @: https://www.radiantinsights.com/research/big-data-in-the-insurance-industry-2018-2030/request-sampleSNS Telecom & IT estimates that Big Data investments in the insurance industry will account for more than $2.4 Billion in 2018 alone.
Led by a plethora of business opportunities for insurers, reinsurers, insurance brokers, InsurTech specialists and other stakeholders, these investments are further expected to grow at a CAGR of approximately 14% over the next three years.The “Big Data in the Insurance Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the insurance industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies.
The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030.
Check out our successful projects case studies of the web, Mobile and software application development in various technologies in almost all the platforms.
The exciting part of what we do is delivering creative strategies, tactics and approaches that help our clients grow their business.
Sentrient supports a wide range of small, medium and large organisations across all industry sectors in Australia, New Zealand and the broader Asia Pacific Region.
We are most grateful of the partnerships we have with our clients and our shared vision to create safe, inclusive and respectful workplaces.
Many policies now also integrate enhanced technical support and additional protection features such as data backup facilities, allowing users to securely backup their phone data online.
The global mobile phone insurance market is expected to account for $20.5 Billion in revenue by the end of 2017.
The market is further expected to grow at a CAGR of approximately 10% over the next three years, eventually accounting for more than $27 Billion in revenue by the end of 2020.
The “Mobile Phone Insurance Ecosystem: 2017–2030 — Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the mobile phone insurance ecosystem including market drivers, challenges, opportunities, value chain, future roadmap, case studies, ecosystem player profiles, and strategies.
The report also presents market size forecasts from 2017 to 2030.
The forecasts are segmented for 3 sales channels, 5 regions, and 25 countries.
This guide to DevOps vs Agile will help you figure out the key differences between these two development methods and how they could help your product hit the market quicker and at less cost than ever before.
1) What Is DevOps?DevOps is a portmanteau word that combines development and operations.
DevOps as a methodology was originally developed by engineers who identified deficiencies in traditional software development processes that hindered collaboration between those responsible for developing new features and those who work to keep an application operational.
2) What Is Agile Software Development Methodology?Agile software development methodology is a buzzword that’s been going around for a few years now, but if you have no idea what it means, I’ll give you a hint—you probably know what it means.
If you write code, then chances are you’ve already practiced some sort of agile method; it may not be called agile software development methodology (ASDM), but chances are it’s something similar.
For example, while agile teams work in sprints, DevOps teams continuously deploy code at a rapid pace.
