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Global LTE and 5G Applications & Services Industry Forecast to 2026, Featuring Analysis of 120 Market Players

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Dublin, Nov. 15, 2021 (GLOBE NEWSWIRE) — The “LTE and 5G Applications and Services Market by Service Provider Type, Connection Type, Deployment Type, Use Cases, 5G Service Category, Computing as a Service, Industry Verticals, Region and Country 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.

This 5G applications market report is the most comprehensive research available addressing the LTE and 5G application and service market. The report evaluates cellular broadband applications and services including revenue and usage (subscribers/users) by LTE, LTE Advanced, LTE Advanced Pro, and 5G. The report also assesses the LTE and 5G applications market in private wireless networks as well as market opportunities for Mobile Edge Computing (MEC) in public and private networks including the market for computing as a service.

Select Report Findings

  • Mobile Edge Computing will be key for private wireless implementation
  • MEC will also be important for public consumer applications, but lower priority
  • 5GNR market for private wireless in industrial automation will reach $5.1B by 2026
  • 5G applications market for enterprise and industrial segments will exceed $42.2B globally by 2026
  • Global revenue for LTE-based enterprise and SMB mobility apps and services will reach $6.7B by 2026
  • Key 5G solution areas for business will be IoT connectivity, SMB/corporate mobility, and fixed wireless

5G will bring about fundamental structural economic changes, such as significantly lower broadband pricing as a whole, and also much greater flexibility for enterprise, industrial, and government market segments in terms of how they connect public to private networks. Future use cases for the 5G applications market are many and varied in terms of type, industry vertical focus, and requirements. Correspondingly, each scenario will have its own network configuration of requirements and parameters.

Key Topics Covered

1 Executive Summary

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2 Introduction
2.1 Research Objectives
2.2 Report Findings
2.3 Target Audience
2.4 Companies in the Report

3 LTE and 5G Technology and Capabilities Overview
3.1 Evolution of LTE to 5G Networks
3.1.1 LTE Advanced
3.1.2 Peer-to-Peer Communications: LTE Direct
3.1.3 LTE Advanced Pro
3.1.4 Fifth Generation Networks
3.2 5G New Radio and 5G Supporting and Related Technologies
3.2.1 Massive MIMO
3.2.2 Cognitive Radio Capabilities
3.2.3 Self-Organizing Networks
3.2.4 Visible Light Communications: Alternative to Radio Frequency
3.2.5 Millimeter Wave Radio Frequency
3.2.6 M2M Communications in IoT and the Role of 5G
3.2.7 C-RAN Architecture
3.2.8 Role and Importance of Heterogeneous Networks in LTE and 5G
3.2.9 H-CRAN Solution
3.2.10 Large-Scale Cooperative Spatial Signal Processing
3.2.11 SDN and NFV Technology for 4G LTE and 5G Ecosystem
3.2.12 Software Defined Radio Considerations
3.2.13 Other Considerations: Spectrum Issues and Satellite Solutions
3.3 5G Any-Haul/X-Haul Backhaul: Front Haul and Backhaul
3.4 5G Fixed Wireless Access
3.5 LTE and 5G Application and Service Landscape
3.5.1 Evolution of Long Term Evolution (LTE) Standard for 4G
3.5.2 5G Capabilities in Support of Applications, Services, and Solutions
3.5.3 The Core 5G Service Feature/Functionality: Voice over 5G (Vo5G)
3.6 5G Commercial Service Trials
3.7 Market Drivers for 5G Based Applications and Services
3.7.1 Ultra-low Latency Connectivity
3.7.2 Massive Growth of Connected IoT Devices and Data Traffic
3.7.3 Critical Communications and Public Safety Applications
3.7.4 LTE and 5G in Smart City Initiatives
3.7.5 LTE and 5G in Private Wireless Networks
3.7.6 Transition to Cloud, Virtualized Platforms, and Edge Computing
3.8 LTE and 5G Market Constraints
3.8.1 Costly Network Service Deployment
3.8.2 Vertical Focused Business Models
3.8.3 Global Spectrum Challenges
3.8.4 Technical Ambiguity in Air Interface Waveform Technologies

4 LTE and 5G Technology and Business Dynamics
4.1 LTE and 5G Devices
4.1.1 Smartphones
4.1.2 Wearables
4.1.3 Modems
4.1.4 IoT/M2M Modules
4.1.5 LTE and 5G User Equipment
4.2 LTE and 5G Service Value Chain
4.2.1 UE and Hardware Manufacturers
4.2.2 Connectivity Solution Providers
4.2.3 IoT Application and OTT Solution Provider
4.2.4 Mobility and Analytics Solution Providers
4.2.5 Enterprise, Government, and Industrial Plant
4.3 Mobile Network Operators vs. OTT Application Providers
4.3.1 MNO Strategies
4.3.2 OTT Based Apps in 5G
4.4 Data Revenue vs. Other Services Revenue
4.5 Average Data Consumption: Video vs. Apps
4.6 Network Slicing and MEC role to Quality of Service Experience
4.7 Private Wireless Network: Licensed Spectrum vs. Unlicensed Spectrum
4.7.1 LTE-U: CBRS and MulteFire
4.7.2 Private 5G NR Access Networks
4.8 5G vs. WiFi In-Building Coverage
4.9 Machine Learning to Improve Analytics and Decision Making
4.10 AI Based Data Analytics to Facilitate Data as a Service
4.11 Network Security and Data Protection
4.12 5G and Edge Computing
4.12.1 Mobile Edge Computing to Support 5G
4.12.2 Carrier Owned/Controlled MEC: The Mobile Network Operator Role
4.12.3 Carrier Mobile Edge Computing Strategies
4.12.3.1 Computing as a Service (CaaS)
4.12.3.2 Carrier CaaS enabled Data as a Service
4.12.3.3 Carrier MEC Deployment Strategies
4.13 5G Techniques for URLLC and Reliability Sensitive Apps
4.14 Mission Critical Communication, Analytics, and Smart City Initiatives
4.14.1 Mission Critical Application Challenges
4.14.2 Private IoT Network and Mission Critical Applications
4.15 Carrier Aggregation
4.16 Analysis of 3GPP Releases
4.17 5G IoT Application Verticals
4.17.1 Retail and Consumer Electronics Applications
4.17.2 Healthcare Applications
4.17.3 Industrial Automation Applications
4.17.4 Intelligent Building Automation Applications
4.17.5 Automotive and Transportation Applications
4.17.6 Home Automation Applications
4.17.7 Financial Institution Applications
4.17.8 Energy and Utility Applications
4.17.9 Public Safety Applications
4.17.10 Military Applications
4.17.11 Oil and Gas Applications
4.17.12 Mining Applications
4.17.13 Agriculture Applications
4.18 5G IoT Trials and Demonstrations

5. Company Analysis
5.1 AT&T
5.2 Airtel
5.3 BT Group (EE)
5.4 China Mobile
5.5 China Telecom
5.6 Deutsche Telekom AG
5.7 DU
5.8 KT Corporation
5.9 NTT DoCoMo
5.10 STC – Saudi Telecom Company
5.11 SK Telecom
5.12 Sprint Corporation
5.13 Telstra
5.14 Verizon
5.15 Vodafone Group
5.16 Telenor
5.17 T-Mobile USA
5.18 Rogers Communications
5.19 America Movil
5.20 Entel
5.21 Movistar
5.22 China Unicom
5.23 Ooredoo
5.24 Zain
5.25 Swisscom
5.26 Spark NZ
5.27 Telecom Italia
5.28 Orange SA
5.29 KDDI Corporation
5.30 LG Uplus
5.31 Softbank Group
5.32 SingTel
5.33 Telefonica
5.34 Apple
5.35 Facebook
5.36 Google
5.37 Microsoft
5.38 Rakuten
5.39 Snap Inc.
5.40 Spotify AB
5.41 Tencent
5.42 Amazon
5.43 WeChat
5.44 Skype
5.45 Telegram
5.46 Ribbon Communications
5.47 REVE Systems
5.48 Hulu
5.49 Netflix
5.50 Dish
5.51 Sky Go
5.52 Roku
5.53 Sony
5.54 Fubo TV
5.55 Philo TV
5.56 ClipBucket
5.57 Muvi
5.58 Contus Vplay
5.59 Quickplay
5.60 Vplayed
5.61 Ooyala
5.62 Vidmind
5.63 Mobiotics
5.64 Nokia Network
5.65 Samsung Electronics
5.66 Cisco Systems
5.67 LG Electronics
5.68 Huawei Technologies
5.69 Ericsson
5.70 Qualcomm
5.71 Intel Corporation
5.72 NEC Corporation
5.73 ZTE Corporation
5.74 Ciena Corporation
5.75 Cavium Inc.
5.76 Qorvo Inc.
5.77 Fujitsu Ltd.
5.78 Broadcom Corporation
5.79 HPE
5.80 VMware Inc.
5.81 MediaTek Inc.
5.82 Juniper Network Inc.
5.83 Analog Devices Inc.
5.84 MACOM Technology
5.85 Motorola
5.86 Ascom
5.87 Harris
5.88 Hytera
5.89 Cobham Wireless
5.90 Leonardo
5.91 Mentura Group
5.92 Inmarsat
5.93 Zenitel
5.94 HTC
5.95 Airspan
5.96 Alvarion
5.97 Sierra Wireless
5.98 Coolpad Dyno
5.99 Mobvoi
5.100 Fitbit
5.101 Misfit
5.102 Asus
5.103 Netgear
5.104 Zyxel
5.105 Alibaba
5.106 D-Link
5.107 UbiFi
5.108 Altair Semiconductor
5.109 SimNet Wireless
5.110 Siretta
5.111 Cradlepoint
5.112 Telit Communications
5.113 Gemalto
5.114 Netcracker
5.115 Texim Europe
5.116 M2M Connectivity
5.117 Eurotech
5.118 RedLinX
5.119 MYCOM OSI
5.120 Colt

6. LTE and 5G Application Market Analysis and Forecasts
6.1 Global LTE and 5G Applications and Services Market 2021-2026
6.2 Global LTE, LTE Advanced, and LTE Advanced Pro Market 2021-2026
6.3 Global LTE Applications and Service 2021-2026
6.4 Global LTE Advanced Applications and Service Market 2021-2026
6.5 LTE Advanced Pro Apps and Service Market 2021-2026
6.6 5G Apps and Service Market 2021-2026
6.7 5G New Radio Market 2021-2026
6.8 LTE and 5G Apps and Service Sub-Market 2021-2026
6.9 Regional LTE and 5G Applications Market 2021-2026
6.10 Global LTE and 5G Users 2021-2026
6.11 Global LTE Subscriptions 2021-2026
6.12 Global LTE Advanced Users 2021-2026
6.13 Global LTE Advanced Pro Users 2021-2026
6.14 Global 5G Subscriptions 2021-2026
6.15 Global 5G New Radio Users 2021-2026
6.16 Regional LTE and 5G Subscription and Usage 2021-2026

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7. Conclusions and Recommendations
7.1 Advertisers and Media Companies
7.2 Artificial Intelligence Providers
7.3 Automotive Companies
7.4 Broadband Infrastructure Providers
7.5 Communication Service Providers
7.6 Computing and Datacenter Companies
7.7 Data Analytics Providers
7.8 Immersive Technology (AR, VR, and MR) Providers
7.9 Network Equipment Providers
7.10 Network Security Providers
7.11 Semiconductor Companies
7.12 IoT Suppliers and Service Providers
7.13 Software Providers
7.14 Smart City System Integrators
7.15 Automation System Providers
7.16 Social Media Companies
7.17 OTT Service Providers
7.18 Enterprise, Industrial, and Government Users

For more information about this report visit https://www.researchandmarkets.com/r/3utips


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Artificial Intelligence

Northern Data Group is first in Europe to acquire NVIDIA H200 GPUs

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First in Europe to acquire NVIDIA H200 GPUs – currently the most powerful GPUs on the market The deployment further expands the Group’s Generative AI CSP offering, already the largest in Europe Further demonstration of the Group’s continued commitment to providing best-in-class technologies FRANKFURT, Germany, July 1, 2024 /PRNewswire/ — Northern Data Group (Ticker symbol German stock market: NB2, ISIN: DE000A0SMU87), a leading provider of High-Performance Computing (HPC) solutions, today announces it has purchased NVIDIA H200 GPUs through a newly established partnership with Supermicro, a global leader in Application-Optimized Total IT Solutions.

Northern Data Group’s cloud platform, Taiga Cloud will be the first Cloud Service Provider (CSP) in Europe to offer access to the H200 GPU hardware, with delivery and deployment scheduled for Q4 2024. The partnership with Supermicro for the NVIDIA H200 GPUs will further build its HPC solutions and complement its existing offering of best-in-class GenAI technologies.
This purchase of the H200 GPUs demonstrates Northern Data Group’s commitment to offering the best-in-class technology to its customers, as it continues to expand its cloud solutions offering, while also maintaining its position as Europe’s first and largest dedicated Generative AI Cloud Service Provider.
The first full island of over 2,000 NVIDIA H200 GPUs utilizing BlueField-3 data processing units (DPUs) and NVIDIA Mellanox CX7 NICs, to deliver 32 petaFLOPS of performance. The configuration of NVIDIA-referenced architecture allows customers to access more bandwidth, faster, and more efficient data storage access. The H200 GPUs will be housed in one of Northern Data Group’s European data centers, powered by carbon-free, renewable energy and boast a Power Usage Effectiveness ratio of less than 1.2.
Aroosh Thillainathan, Founder and CEO, Northern Data Group, commented:
“Our GenAI platform is constantly evolving and we are proud to collaborate with Supermicro to be the first in Europe to offer access to NVIDIA H200 GPUs. This is testament to our commitment to continually offer industry-leading, next-generation solutions. 
“As an Elite Partner of NVIDIA, we are proud to continue to offer cutting-edge technology, deployed in line with recommended architecture references to maximize the technology.” 
Vik Malyala, President & Managing Director, EMEA; SVP, Technology & AI, Supermicro commented:
“We are excited to collaborate with Northern Data Group to expand its GenAI Cloud offering to include Supermicro GPU servers based on latest Nvidia H200 HGX GPUs.  Supermicro is fully committed to delivering most performant and energy efficient AI infrastructure and solutions, and this collaboration will accelerate availability and bring the best value for customers in Europe.”
About Northern Data Group: 
Northern Data Group (ETR: NB2) is a leading provider of High-Performance Computing (HPC) solutions to businesses and research institutions, utilizing GPU- and ASIC-based solutions. Our flexible compute power fuels innovation in our three core business platforms: Taiga Cloud, Ardent Data Centers, and Peak Mining. Through our HPC solutions, we pioneer ambitious computing innovation that drives progress in the AI, ML and Generative AI industries. Our close collaboration with industry-leading manufacturers including Gigabyte, AMD, and NVIDIA is fundamental to the acceleration of innovation across sectors including life sciences, financial services, and energy. 
About Taiga Cloud:
Taiga Cloud, a Northern Data Group platform, is Europe’s first and largest Generative AI Cloud Service Provider. We provide a flexible, secure and compliant cloud-based ultra-fast GPU Network, engineered to meet organizations’ most ambitious compute needs. Taiga Cloud recognizes that high-intensity, large-scale processing power is crucial for accelerating Generative AI models and research which will deliver a new era of technological breakthroughs. Taiga’s energy-efficient Cloud is powered by Europe’s largest cluster of NVIDIA A100 Tensor Core and H100 Tensor Core GPUs, helping enable organizations to accelerate AI and ML innovation on demand, with technology that is fully scalable.

View original content:https://www.prnewswire.co.uk/news-releases/northern-data-group-is-first-in-europe-to-acquire-nvidia-h200-gpus-302185926.html

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Dawn Health and Merck are collaborating to support Growth Disorders care

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COPENHAGEN, Denmark, July 1, 2024 /PRNewswire/ — Dawn Health, the digital health company pioneering patient-first innovation, has announced they are working with leading global pharmaceutical company, Merck, on a digital solution for Growth Hormone Disorders (GHD).

Over the next two years, they will join forces to deliver a cutting-edge, user-centric digital platform, designed to help improve the lives of tens of thousands of patients across more than 40 countries.
By harnessing the latest AI technologies, the collaboration will also involve exploring the integration of features such as growth predictions and advanced personalization into the digital product, with excitement about AI and its potential for impact on user experience, adoption, adherence, and treatment outcomes. The digital solution will provide support to children and young adults living with GHD, as well as providing tools and support to their caregivers, both at home and in a clinical setting. 
With a shared commitment to improving patient lives, the collaboration will focus on patient-centricity to deliver an intuitive, engaging product that supports users and caregivers throughout their treatment journey. This means speaking with patients to truly understand their unmet needs and how the solution can best address these, as well as hearing from caregivers and healthcare professionals about how to best empower and support those living with GHD.
The collaboration is already off to a strong start, with workshops and inspiring discussions happening between the teams at Dawn Health and Merck, as they work together to deliver a cutting-edge platform on a global scale to improve the lives of people living with Growth Hormone Disorders.
About Merck
Merck, a leading science and technology company, operates across life science, healthcare and electronics. Around 63,000 employees work to make a positive difference to millions of people’s lives every day by creating more joyful and sustainable ways to live. From providing products and services that accelerate drug development and manufacturing as well as discovering unique ways to treat the most challenging diseases to enabling the intelligence of devices – the company is everywhere. In 2023, Merck generated sales of € 21 billion in 65 countries. Scientific exploration and responsible entrepreneurship have been key to Merck’s technological and scientific advances. This is how Merck has thrived since its founding in 1668. The founding family remains the majority owner of the publicly listed company. Merck holds the global rights to the Merck name and brand. The only exceptions are the United States and Canada, where the business sectors of Merck operate as MilliporeSigma in life science, EMD Serono in healthcare, and EMD Electronics in electronics.
All Merck press releases are distributed by e-mail at the same time they become available on the Merck website. Please go to www.merckgroup.com/subscribe to register online, change your selection or discontinue this service.
About Dawn Health
Dawn Health is a global leader in digital health, specializing in the development of software as a medical device (SaMD) and digital therapeutics (DTx). Partnering with pharmaceutical companies, Dawn Health accelerates the launch of digital solutions to change the lives of people with chronic conditions.
Media Contacts
For questions about [email protected] 
For questions about Dawn HealthChristopher Kold, [email protected]
 

View original content:https://www.prnewswire.co.uk/news-releases/dawn-health-and-merck-are-collaborating-to-support-growth-disorders-care-302184356.html

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Transforming Healthcare with AI: Yidu Tech’s Gong Rujing at Summer Davos

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DALIAN, China, July 1, 2024 /PRNewswire/ — “AI in healthcare is extremely challenging. For companies, it requires not only solving scientific problems but also understanding AI technology and respecting the complexity of the healthcare industry.” At the 15th Annual Meeting of the New Champions, also known as Summer Davos, Ms. Gong Rujing (Yingying), Chairwoman and Founder of Yidu Tech, was invited as a distinguished representative of the healthcare technology sector. She shared her unique insights into the future of AI in healthcare during the thematic dialogue on “Healthcare Analytics, Not Moving Fast Enough.”

This year marks the 10th anniversary of Yidu Tech and Ms. Gong Rujing’s decade-long dedication to the healthcare industry. From the inception of her entrepreneurial journey 10 years ago, she has been driven by the mission to leverage the power of technology to deliver precise healthcare to every individual.
Ms. Gong described the past decade as a journey filled with miracles and achievements. During this period, Yidu Tech has progressively established close collaborations with key stakeholders in the healthcare industry, including government agencies, hospitals, pharmaceutical companies, insurance firms, experts, and clinicians. As of March 31, 2024, Yidu Tech’s “AI Medical Brain” YiduCore has been authorized to process and analyze over 5 billion medical records, covering more than 2,500 hospitals.
In AI-powered clinical research, Yidu Tech has supported researchers and clinicians in producing over 240 high-level papers, accelerating the application of research outcomes. Additionally, Yidu Tech provides clinical trial services to globally renowned pharmaceutical companies, helping them optimize trial processes, reduce costs, and bring new drugs to market more swiftly, ultimately benefiting patients. In healthcare management, Yidu Tech’s AI technology plays a crucial role by analyzing vast amounts of medical data to provide comprehensive decision support to healthcare administrators, helping them optimize resource allocation and improve service efficiency.
“We are now entering a new era of AI technology.” The development of large language model technologies has opened up new possibilities across various industries. Yidu Tech has independently developed a large language model specific to the medical field and is advancing its application across the entire healthcare industry chain. The goal is to promote further progress and innovation through new AI technologies. However, Ms. Gong also emphasized that the healthcare industry is professional, complex, and sensitive, and the application of new technologies must address challenges such as data security, privacy protection, and ethics.
“Data security and privacy protection are fundamental to the development of AI technology and medical big data technology. We must ensure that all stakeholders are satisfied with compliance, security, accessibility, and privacy protection.”
“AI technology still has a long way to go.” She called on policymakers, healthcare institutions, and technology companies to work together to realize the immense potential of healthcare data. Ms. Gong highlighted that building trust is key, and enhancing data operability is essential to fully unleash the power of data. “It’s not just about better data quality; it’s about a better future for health.”

View original content:https://www.prnewswire.co.uk/news-releases/transforming-healthcare-with-ai-yidu-techs-gong-rujing-at-summer-davos-302186561.html

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