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Global SON (Self-Organizing Networks) Markets in the 5G & Open RAN Era, 2022-2030: Review of Over 40 SON Use Cases, Case Studies of 20 Commercial-scale SON Deployments, Profiles of 230+ Players

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Dublin, Jan. 16, 2023 (GLOBE NEWSWIRE) — The “SON (Self-Organizing Networks) in the 5G & Open RAN Era: 2022-2030: Opportunities, Challenges, Strategies & Forecasts” report from SNS Telecom & IT has been added to ResearchAndMarkets.com’s offering.

The “SON (Self-Organizing Networks) in the 5G & Open RAN Era” report presents a detailed assessment of the SON market, including the value chain, market drivers, barriers to uptake, enabling technologies, functional areas, use cases, key trends, future roadmap, standardization, case studies, ecosystem player profiles and strategies.

The publisher estimates that global spending on RIC platforms, xApps and rApps will reach $120 Million in 2023 as initial implementations move from field trials to production-grade deployments. With commercial maturity, the submarket is further expected to quintuple to nearly $600 Million by the end of 2025.

Annual investments in the wider SON market – which includes licensing of embedded D-SON features, third party C-SON functions and associated OSS platforms, in-house SON capabilities internally developed by mobile operators, and SON-related professional services across the RAN, mobile core and transport domains are expected to grow at a CAGR of approximately 7% during the same period.

The report also provides global and regional market size forecasts for both SON and conventional mobile network optimization from 2022 till 2030, including submarket projections for three network segments, six SON architecture categories, four access technologies and five regional submarkets.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

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.

Early adopters of SON have already witnessed a multitude of benefits in the form of accelerated 5G NR and LTE RAN (Radio Access Network) 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, 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 and automate cellular RAN 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 AI (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, with the cellular industry’s ongoing shift towards open interfaces, virtualization and software-driven networking, the SON ecosystem is progressively transitioning from the traditional D-SON (Distributed SON) and C-SON (Centralized SON) approach to open standards-based components supporting RAN programmability for advanced automation and intelligent control.

The surging popularity of innovative Open RAN and vRAN (Virtualized RAN) architectures has reignited the traditionally niche and proprietary product-driven SON market with a host of open standards-compliant RIC (RAN Intelligent Controller), xApp and rApp offerings, which are capable of supporting both near real-time D-SON and non real-time C-SON capabilities for RAN automation and optimization needs.

Key Findings

  • The surging popularity of innovative Open RAN and vRAN (Virtualized RAN) architectures has reignited the traditionally niche and proprietary product-driven SON market with a host of open standards-compliant RIC (RAN Intelligent Controller), xApp and rApp offerings, which are capable of supporting both near real-time D-SON and non real-time C-SON capabilities for RAN automation and optimization needs.
  • SNS Telecom & IT estimates that global spending on RIC platforms, xApps and rApps will reach $120 Million in 2023 as initial implementations move from field trials to production-grade deployments. With commercial maturity, the submarket is further expected to quintuple to nearly $600 Million by the end of 2025.
  • Annual investments in the wider SON market – which includes licensing of embedded D-SON features, third party C-SON functions and associated OSS platforms, in-house SON capabilities internally developed by mobile operators, and SON-related professional services across the RAN, mobile core and transport domains – are expected to grow at a CAGR of approximately 7% during the same period.
  • The third party SON vendor ecosystem is exhibiting signs of consolidation, with several prominent M&A deals such as Qualcomm’s recent acquisition of C-SON specialist Cellwize – in a bid to strengthen its 5G RAN infrastructure offerings, Elisa Automate’s merger with Polystar to form Elisa Polystar, and HCL’s acquisition of Cisco’s SON technology business.
  • However, on the other hand, newer suppliers are also beginning to emerge – extending from VMware, Juniper Networks and other RIC platform providers to x/rApp specialists such as Cohere Technologies, DeepSig, Groundhog Technologies, Subex, B-Yond, Net AI and RIMEDO Labs.
  • SON capabilities are playing a pivotal role in the ongoing proliferation of private 4G/5G networks, as evident from a growing number of cross-sector partnerships. For example, private wireless service provider Betacom is collaborating with Qualcomm to accelerate enterprise adoption of private 5G networks by combining the former’s 5GaaS (5G-as-a-Service) offering with the latter’s enablement ecosystem, including the Cellwize RAN automation and management platform. Similarly, Germany-based systems integrator Opticoms has entered into a partnership with SON specialist Innovile to automate and optimize Open RAN standards-compliant private 5G networks.
  • Over the last two years, with the steep rise of mobile data consumption in residential areas during the COVID-19 pandemic-imposed lockdowns, mobile operators – despite coping relatively well – have recognized the importance of a more dynamic and automated approach to the optimization of network assets in order to provide a consistent and seamless user experience.
  • The 2020-2022 period saw large-scale C-SON deployments by several operators, including but not limited to Verizon, EE (BT Group), Orange, Telefonica, Turkcell, beCloud (Belarusian Cloud Technologies), VEON, Ooredoo, Zain, BTC (Botswana Telecommunications Corporation), LTT (Libya Telecom & Technology), Telstra, Singtel, Telkomsel, Globe Telecom, Smart Communications (PLDT), and Telecom Argentina.

Market Drivers

  • The 5G & Open RAN Era: Continued Infrastructure Investments
  • Optimization in Complex Multi-RAN Environments
  • OpEx & CapEx Reduction: The Cost Savings Potential
  • Improving Subscriber Experience & Churn Reduction
  • Power Savings: Towards Greener Mobile Networks
  • Alleviating Congestion With Traffic Management
  • Enabling Plug & Play Deployment of Small Cells
  • Growing Adoption of Private 4G/5G Networks

Market Barriers

  • Complexity of Implementation
  • Reorganization & Changes to Standard Engineering Procedures
  • Lack of Trust in Automation
  • Proprietary SON Algorithms
  • Coordination Between Distributed & Centralized SON
  • Network Security Concerns: New Interfaces & Lack of Monitoring

Key Trends in Next-Generation SON Implementations

  • Open RAN & vRAN (Virtualized RAN) Architectures
  • Small Cells, HetNets & RAN Densification
  • Shared & Unlicensed Spectrum
  • MEC (Multi-Access Edge Computing)
  • Network Slicing
  • Big Data & Advanced Analytics
  • AI (Artificial Intelligence) & ML (Machine Learning)
  • NFV (Network Functions Virtualization)
  • SDN (Software-Defined Networking) & Programmability
  • Cloud Computing
  • Private 4G/5G Networks
  • FWA (Fixed Wireless Access)
  • DPI (Deep Packet Inspection)
  • Digital Security for Self-Protection
  • SON Capabilities for IoT Applications
  • User-Based Profiling & Optimization for Vertical 5G Applications
  • Addressing D2D (Device-to-Device) Communications & New Use Cases

SON Deployment Case Studies

  • AT&T
  • Bell Canada
  • Bharti Airtel
  • BT Group
  • China Mobile
  • Elisa
  • Globe Telecom
  • KDDI Corporation
  • MegaFon
  • NTT DoCoMo
  • Ooredoo
  • Orange
  • Singtel
  • SK Telecom
  • Telecom Argentina
  • Telefonica Group
  • TIM (Telecom Italia Mobile)
  • Turkcell
  • Verizon Communications
  • Vodafone Group

Conclusion & Strategic Recommendations

  • Why is the Market Poised to Grow?
  • 2022 – 2025: Transition From Traditional SON to RIC Platforms, xApps & rApps
  • 2026 – 2029: Commercial Maturity of Advanced AI/ML-Based SON Implementations
  • 2030 & Beyond: Towards Zero-Touch 5G & 6G Network Automation
  • Competitive Industry Landscape: Acquisitions, Alliances & Consolidation
  • The C-SON Versus D-SON Debate
  • Evaluating the Practical Benefits of SON
  • Prospects of Open RAN Standards-Compliant RIC Platforms, xApps & rApps
  • End-to-End SON: From the RAN to the Core & Transport Domains
  • Growing Adoption of SON Capabilities for Wi-Fi & Non-3GPP Access Technologies
  • The Importance of AI & ML-Driven SON Algorithms
  • Improving End User Experience With QoE-Based Optimization
  • Enabling Network Slicing & Advanced 5G Capabilities
  • Greater Focus on Self-Protection
  • Addressing IoT Optimization
  • Managing Shared & Unlicensed Spectrum
  • Easing the Deployment of Private 4G/5G Networks
  • Assessing the Impact of SON on Optimization & Field Engineers
  • Strategic Recommendations

Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

SON & Mobile Network Optimization

  • SON
  • Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets

  • RAN (Radio Access Network)
  • Mobile Core
  • Transport (Fronthaul, Midhaul & Backhaul)

RAN Segment SON Architecture Submarkets

  • Traditional D-SON & C-SON
    • Embedded D-SON (Distributed SON) Features
    • Third Party C-SON (Centralized SON) & OSS Platforms
  • Open RAN RIC, xApps & rApps
    • RIC (RAN Intelligent Controller) Platforms
    • Near Real-Time xApps
    • Non Real-Time rApps
  • Mobile Operators’ In-House SON Tools & Systems

SON Access Network Technology Submarkets

  • 2G & 3G
  • LTE
  • 5G NR
  • Wi-Fi & Others

For more information about this report visit https://www.researchandmarkets.com/r/wus66p

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Artificial Intelligence

Aurionpro Solutions acquires Arya.ai, to power next generation Enterprise AI platforms for Financial Institutions

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SINGAPORE, April 20, 2024 /PRNewswire/ — Aurionpro Solutions Limited (BSE: 532668) (NSE: AURIONPRO) announces the acquisition of Banking and Insurance focused PaaS startup, Arya.ai. With Arya.ai, Aurionpro will enhance its portfolio of enterprise fintech offerings to expedite adoption of AI that is responsible, accurate, and auditable.

 
 
Aurionpro Solutions Ltd. will acquire a majority stake (67%) in Arya.ai. This acquisition will bring products and expertise in Artificial Intelligence, Deep Learning, Intelligent Automation, PaaS, Autonomous AI Platforms, and more, to complement and strengthen Aurionpro’s industry leading portfolio.
The transaction comprises acquisition of shares held by the existing shareholders and subscription of new equity capital in the company. This will be an all-cash deal. The aggregate investment including  secondary acquisition and fund infusion is approximately 16.5 MN USD.
By integrating Arya.ai’s cutting-edge AI cloud platform, with Aurionpro’s comprehensive suite of offerings, the company will create an industry leading Enterprise AI platform focused on creating value for financial institutions globally. 
Commenting on the acquisition, Ashish Rai, CEO of Aurionpro Solutions, stated, “The acquisition of Arya.ai marries Aurionpro’s portfolio of industry leading enterprise software with one of the most mature Enterprise AI platforms focused on Banks and Insurers. We are incredibly excited about working with Arya.ai and our wider ecosystem partners to build out the leading Enterprise AI platform, for the financial industry worldwide.”
“Our decade long experience in building tools/platform for deep learning helped us to build a truly verticalized AI Operating System for Banking and Insurance.” Says Vinay Kumar CEO/Founder of Arya.ai. “Together with Aurionpro, we are going to build a new generation of Enterprise AI software for Banks and Insurers that truly embeds AI, augmenting a task or Autonomous Agents that can take over entire transactions”. 
Founded in 2013 by Vinay Kumar and Deekshith Marla, Arya.ai has been one of the first ‘AI’ startups to use Deep Learning and deploy in enterprises. Arya.ai’s BFSI PaaS offerings include Arya API with 80+ ML models, Libra for fine-tuning SOTA ML models, and AryaXAI for AI governance.
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Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.

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NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform.  QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.

 
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR  HUD screen, when having some down time. 
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.

The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™.  Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=210662258
Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
 
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies.  GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance.  Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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Procurement Analytics Market- Global Forecast to 2026
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Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
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