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Artificial Intelligence

Global Artificial Intelligence Market Report to 2030 – Increasing Cross-Industry Partnerships and Collaborations are Driving Growth

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Dublin, Sept. 08, 2022 (GLOBE NEWSWIRE) — The “Artificial Intelligence Market Size, Share & Trends Analysis Report by Solution, by Technology (Deep Learning, Machine Learning, Natural Language Processing, Machine Vision), by End Use, by Region, and Segment Forecasts, 2022-2030” report has been added to ResearchAndMarkets.com’s offering.

The global artificial intelligence market size is expected to reach USD 1,811.8 billion by 2030. The market is anticipated to expand at a CAGR of 38.1% from 2022 to 2030.

Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses algorithms to understand human speech, visually recognize objects, and process information. These algorithms are used for data processing, calculation, and automated reasoning.

Artificial intelligence researchers continuously improve algorithms for various aspects, as conventional algorithms have drawbacks regarding accuracy and efficiency. These advancements have led manufacturers and technology developers to focus on developing standard algorithms. Recently, several developments have been carried out for enhancing artificial intelligence algorithms. For instance, in May 2020, International Business Machines Corporation announced a wide range of new AI-powered services and capabilities, namely IBM Watson AIOps, for enterprise automation. These services are designed to help automate the IT infrastructures and make them more resilient and cost reduction.

Various companies are implementing AI-based solutions such as RPA (Robotic Process Automation) to enhance the process workflows to handle and automate repetitive tasks. AI-based solutions are also being coupled with the IoT (Internet of Things) to provide robust results for various business processes. For Instance, Microsoft announced to invest USD 1 billion in OpenAI, a San Francisco-based company. The two businesses teamed up to create AI supercomputing technology on Microsoft’s Azure cloud.

The COVID-19 pandemic has emerged as an opportunity for AI-enabled computer systems to fight against the epidemic as several tech companies are working on preventing, mitigating, and containing the virus. For instance, LeewayHertz, a U.S.-based custom software development company, offers technology solutions using AI tools and techniques, including the Face Mask Detection System to identify individuals without a mask and the Human Presence System to monitor patients remotely. Besides, Voxel51 Inc., a U.S.-based artificial intelligence start-up, has developed Voxel51 PDI (Physical Distancing Index) to measure the impact of the global pandemic on social behavior across the world.

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AI-powered computer platforms or solutions are being used to fight against COVID – 19 in numerous applications, such as early alerts, tracking and prediction, data dashboards, diagnosis and prognosis, treatments and cures, and maintaining social control. Data dashboards that can visualize the pandemic have emerged with the need for coronavirus tracking and prediction. For instance, Microsoft Corporation’s Bing’s AI tracker gives a global overview of the pandemic’s current statistics.

Artificial Intelligence Market Report Highlights

  • The advent of big data is expected to be the cause of the growth of the market as a large volume of data is needed to be captured, stored, and analyzed.
  • The increasing demand for image processing and identification is expected to drive industry growth.
  • North America dominated the market and accounted for revenue share of over 42.1% in 2021.
  • One of the significant concerns restraining industry growth is the need for a large amount of data to train AI systems for character and image recognition .

Key Topics Covered:

Chapter 1 Methodology and Scope

Chapter 2 Executive Summary

Chapter 3 Market Variables, Trends & Scope
3.1 Market Trends & Outlook
3.2 Market Segmentation & Scope
3.3 Artificial Intelligence Size and Growth Prospects
3.4 Artificial Intelligence-Value Chain Analysis
3.5 Artificial Intelligence Market Dynamics
3.5.1 Market Drivers
3.5.1.1 Economical parallel processing set-up
3.5.1.2 Potential R&D in artificial intelligence systems
3.5.1.3 Big data fueling AI and Machine Learning profoundly
3.5.1.4 Increasing Cross-Industry Partnerships and Collaborations
3.5.1.5 AI to counter unmet clinical demand
3.5.2 Market Restraint
3.5.2.1 Vast demonstrative data requirement
3.6 Penetration & Growth Prospect Mapping
3.7 Industry Analysis-Porter’s
3.7.1 Supplier Power
3.7.2 Buyer Power
3.7.3 Substitution Threat
3.7.4 Threat From New Entrant
3.7.5 Competitive Rivalry
3.8 Company Market Share Analysis, 2021
3.9 Artificial Intelligence-PEST Analysis
3.9.1 Political
3.9.2 Economic
3.9.3 Social
3.9.4 Technology
3.10 Artificial Intelligence-COVID-19 Impact Analysis

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Chapter 4 Artificial Intelligence Market: Solution Estimates & Trend Analysis
4.1 Artificial Intelligence Market: Solution Movement Analysis
4.1.1 Hardware
4.1.1.1. Hardware Artificial Intelligence Market, by Region, 2017-2030
4.1.1.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
4.1.2 Software
4.1.2.1. Software Artificial Intelligence Market, by Region, 2017-2030
4.1.2.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
4.1.3 Services
4.1.3.1. Services Artificial Intelligence Market, by Region, 2017-2030
4.1.3.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)

Chapter 5 Artificial Intelligence Market: Technology Estimates & Trend Analysis
5.1 Artificial Intelligence Market: Technology Movement Analysis
5.1.1 Deep Learning
5.1.1.1. Deep Learning Artificial Intelligence System Market, by Region, 2017-2030
5.1.1.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
5.1.2 Machine Learning
5.1.2.1. Machine Learning Artificial Intelligence System Market, by Region, 2017-2030
5.1.2.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
5.1.3 Nlp
5.1.3.1. Nlp Artificial Intelligence System Market, by Region, 2017-2030
5.1.3.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
5.1.4 Machine Vision
5.1.4.1. Machine Vision Artificial Intelligence System Market, by Region, 2017-2030
5.1.4.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)

Chapter 6 Artificial Intelligence Market: End-Use Estimates & Trend Analysis
6.1 Artificial Intelligence Market: End-Use Movement Analysis
6.2 Artificial Intelligence Market: End-Use Trends
6.2.1 Healthcare
6.2.1.1. Healthcare Artificial Intelligence Market, by Region, 2017-2030
6.2.1.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.1.2. Healthcare by Use Case
6.2.1.2.1. Global Ai Healthcare Market, by Use Case, 2017-2030 (USD Billion)
6.2.2 Bfsi
6.2.2.1. Bfsi Artificial Intelligence Market, by Region, 2017-2030
6.2.2.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.2.2. Bfsi by End Use
6.2.2.2.1. Global Ai Bfsi Market, by End Use, 2017-2030 (USD Billion)
6.2.3 Law
6.2.3.1. Law Artificial Intelligence Market, by Region, 2017-2030
6.2.3.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.4 Retail
6.2.4.1. Retail Artificial Intelligence Market, by Region, 2017-2030
6.2.4.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.5 Advertising & Media
6.2.5.1. Advertising & Media Artificial Intelligence Market, by Region, 2017-2030
6.2.5.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.6 Automotive & Transportation
6.2.6.1. Automotive & Transportation Artificial Intelligence Market, by Region, 2017-2030
6.2.6.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.7 Agriculture
6.2.7.1. Agriculture Artificial Intelligence Market, by Region, 2017-2030
6.2.7.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.8 Manufacturing
6.2.8.1. Manufacturing Artificial Intelligence Market, by Region, 2017-2030
6.2.8.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)
6.2.9 Others
6.2.9.1. Others Artificial Intelligence Market, by Region, 2017-2030
6.2.9.1.1. Market Estimates and Forecasts, 2017-2030 (USD Billion)

Chapter 7 Artificial Intelligence Market: Regional Estimates & Trend Analysis

Chapter 8 Competitive Landscape
8.1 Company Profiles
8.1.1 Advanced Micro Devices
8.1.1.1 Company overview
8.1.1.2 Financial performance
8.1.1.3 Product benchmarking
8.1.1.4 Strategic Initiatives
8.1.2 AiCure
8.1.2.1 Company overview
8.1.2.2 Product benchmarking
8.1.2.3 Strategic Initiatives
8.1.3 Arm Limited
8.1.3.1 Company overview
8.1.3.2 Product benchmarking
8.1.3.3 Strategic Initiatives
8.1.4 Atomwise, Inc.
8.1.4.1 Company overview
8.1.4.2 Product benchmarking
8.1.4.3 Strategic Initiatives
8.1.5 Ayasdi AI LLC
8.1.5.1 Company overview
8.1.5.2 Product benchmarking
8.1.5.3 Strategic Initiatives
8.1.6 Baidu, Inc.
8.1.6.1 Company overview
8.1.6.2 Financial performance
8.1.6.3 Product benchmarking
8.1.6.4 Strategic Initiatives
8.1.7 Clarifai, Inc
8.1.7.1 Company overview
8.1.7.2 Product benchmarking
8.1.7.3 Strategic Initiatives
8.1.8 Cyrcadia Health
8.1.8.1 Company overview
8.1.8.2 Product benchmarking
8.1.8.3 Strategic Initiatives
8.1.9 Enlitic, Inc.
8.1.9.1 Company overview
8.1.9.2 Product benchmarking
8.1.9.3 Strategic Initiatives
8.1.10 Google LLC
8.1.10.1 Company overview
8.1.10.2 Financial performance
8.1.10.3 Product benchmarking
8.1.10.4 Strategic Initiatives
8.1.11 H2O.ai.
8.1.11.1 Company overview
8.1.11.2 Product benchmarking
8.1.11.3 Strategic Initiatives
8.1.12 HyperVerge, Inc.
8.1.12.1 Company overview
8.1.12.2 Product benchmarking
8.1.12.3 Strategic Initiatives
8.1.13 International Business Machines Corporation
8.1.13.1 Company overview
8.1.13.2 Financial performance
8.1.13.3 Product benchmarking
8.1.13.4 Strategic Initiatives
8.1.14 IBM Watson Health
8.1.14.1 Company overview
8.1.14.2 Financial performance
8.1.14.3 Product benchmarking
8.1.14.4 Strategic Initiatives
8.1.15 Intel Corporation
8.1.15.1 Company overview
8.1.15.2 Financial performance
8.1.15.3 Product benchmarking
8.1.15.4 Strategic Initiatives
8.1.16 Iris.ai AS.
8.1.16.1 Company overview
8.1.16.2 Product benchmarking
8.1.16.3 Strategic Initiatives
8.1.17 Lifegraph
8.1.17.1 Company overview
8.1.17.2 Product benchmarking
8.1.17.3 Strategic Initiatives
8.1.18 Microsoft
8.1.18.1 Company overview
8.1.18.2 Financial performance
8.1.18.3 Product benchmarking
8.1.18.4 Strategic Initiatives
8.1.19 NVIDIA Corporation
8.1.19.1 Company overview
8.1.19.2 Financial performance
8.1.19.3 Product benchmarking
8.1.14.4 Strategic Initiatives
8.1.20 Sensely, Inc.
8.1.20.1 Company overview
8.1.20.2 Product benchmarking
8.1.20.3 Strategic Initiatives
8.1.21 Zebra Medical Vision, Inc.
8.1.21.1 Company overview
8.1.21.2 Product benchmarking
8.1.21.3 Strategic Initiatives

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Artificial Intelligence

AMI Partners with Samsung to Bring Firmware Security to PCs

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ATLANTA, Oct. 8, 2024 /PRNewswire/ — AMI®, the global leader in Dynamic Firmware for worldwide computing, has partnered with Samsung Electronics, the global leader in consumer technology, to create an enhanced joint security solution available in Samsung’s Galaxy Book PCs. Alongside Samsung’s multi-layer security platform Samsung Knox, AMI’s Tektagon™ – the industry-leading Platform Root of Trust firmware security solution – is now integrated into Samsung PCs including the Galaxy Book5 Pro 360, Galaxy Book4 Pro, Galaxy Book4 Pro 360, and Galaxy Book4 Ultra. 

Through this collaborative partnership, AMI’s Tektagon seamlessly integrates with Samsung Knox to ensure that confidential and sensitive data stays safe at every layer of the device through real-time threat detection and collaborative protection, while providing the highest level of security against firmware-injected malware to help prevent ransomware and denial of service attacks.
“As a leading supplier of endpoint technology to global government and commercial industries, Samsung is committed to securing its platforms at all levels,” said Dr. Hark-Sang Kim, EVP & Head of New Computing R&D Team, Mobile eXperience Business at Samsung Electronics. “Integrating AMI’s Tektagon solution into our latest Galaxy Books provides powerful and comprehensive protection at the platform’s foundation.”
The Samsung Knox platform leverages the motherboard’s existing embedded processor to provide a hardware-backed secure platform, which includes AMI’s Tektagon security technology. Thanks to AMI’s leading capabilities as a firmware provider, the need for additional components is reduced while hardware-rooted security is still seamlessly delivered.
“AMI is extremely proud of our work integrating our Tektagon Platform Root of Trust solution into Samsung Galaxy Book series notebooks,” said Stefano Righi, Senior Vice President of the AMI Global Software and Security Group. “Together Samsung and AMI are helping to reduce the cyber threat landscape, securing business endpoints around the world from malicious attacks.”
The Samsung Galaxy Book5 Pro 360, Galaxy Book4 Pro, Galaxy Book4 Pro 360 and Galaxy Book4 Ultra with AMI Tektagon Platform Root of Trust are available today and can be ordered directly from Samsung.
Follow AMI on LinkedIn and Twitter/X to receive the latest news and announcements.
AMI® and Tektagon™ are registered trademarks/trademarks of AMI in the US and/or elsewhere. Galaxy Book and Knox are trademarks of Samsung Electronics Co. Ltd. in the United States and other countries. All other trademarks and registered trademarks are the property of their respective owners.
About AMI
AMI is Firmware Reimagined for modern computing. As a global leader in Dynamic Firmware for security, orchestration, and manageability solutions, AMI enables the world’s compute platforms from on-premises to the cloud to the edge. AMI’s industry-leading foundational technology and unwavering customer support have generated lasting partnerships and spurred innovation for some of the most prominent brands in the high-tech industry.
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Artificial Intelligence

Globally Renowned MarTech Platform, Netcore Cloud Announces Strategic Partnership with Tall Bob Collaboration to enhance Customer Engagement capabilities for customers in Australia and New Zealand

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SYDNEY, Oct. 8, 2024 /PRNewswire/ — Netcore Cloud, a leading customer experience and engagement platform, is pleased to announce a strategic partnership with Tall Bob, a premier SMS service provider headquartered in Australia with direct connections to the Mobile Network Operators. This collaboration introduces a newly developed SMS plugin specifically designed to empower Australian businesses with advanced SMS marketing capabilities integrated seamlessly into Netcore Cloud’s omnichannel marketing platform.

The partnership with Tall Bob aligns with Netcore Cloud’s strategy to strengthen its presence in the Australian and New Zealand MarTech ecosystem. By integrating local SMS services through Tall Bob, Netcore Cloud enhances its commitment to providing region-specific solutions that enable personalized, real-time communication. This partnership reflects Netcore’s dedication to driving customer engagement by offering tailored marketing solutions that meet the unique needs of Australian and New Zealand businesses.
The newly developed SMS plugin simplifies SMS integration into customer engagement strategies, enabling businesses to connect with their customers through personalized, scalable SMS campaigns. Key features of the plugin include:
Easy integration: A user-friendly setup process allows businesses to quickly incorporate SMS into their existing marketing strategies.Real-time analytics: The plugin provides robust tracking and analytics to measure the performance of SMS campaigns in real time, helping businesses optimize their marketing efforts.Compliance with local regulations: Ensuring adherence to Australian SMS marketing regulations, the plugin provides businesses a secure and compliant solution.Scalability: Designed to support campaigns of all sizes, from small businesses to large enterprises, enabling broad market reach.Accessibility: Tall Bob’s service layer provides customers with a deep understanding of best practice marketing campaigns, automation, segmentations and message design, resulting in better customer experiences and revenue growth for Netcore and Tall Bob’s clients.Ari Berman – Co-Founder and Commercial Director, Tall Bob said, “This partnership brings together Tall Bob’s local SMS expertise and Netcore Cloud’s global MarTech innovations, providing Australian businesses with a powerful, integrated solution to boost customer engagement and improve marketing performance. I am excited to witness how our collaboration not only simplifies SMS integration but also opens the door to a more holistic approach to communication, enabling brands in Australia and New Zealand to build stronger relationships with their customers.” 
Adding to this, Abithab Bhaskar, CEO – International Business, Netcore Cloud said, “Our shared vision is to enable Australian businesses to harness the full potential of real-time, personalized communication, elevating their marketing strategies to new heights. By combining forces, Netcore Cloud and Tall Bob are positioned to lead the way in delivering innovative, data-driven marketing solutions that empower businesses to connect with their customers like never before.”
About Netcore Cloud
Netcore Cloud, a global leader in marketing technology, empowers marketers with its comprehensive Customer Engagement and Experience Suite to create personalized, omnichannel experiences. Leveraging AI to integrate customer data, Netcore enables targeted segments and meaningful digital interactions. Trusted by over 6,500 brands across sectors like Ecommerce, Retail, Banking and Financial Services, Media and Entertainment, and Travel, its marquee clients include Walmart, Unilever, Tommy Hilfiger, Domino’s, McDonald’s, Pizza Hut, and Crocs.
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Artificial Intelligence

Dark Fiber Market Size to Grow USD 7594 Million by 2030 at a CAGR of 9.09% | Valuates Reports

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BANGALORE, India, Oct. 7, 2024 /PRNewswire/ — Dark Fiber Market is Segmented by Type (Single-Mode, Multi-Mode), by Application (Telecom, Oil & Gas, BFSI, Military & Defense, Medical, Railway, Others): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The Global Dark Fiber Market was valued at USD 4475 million in 2023 and is anticipated to reach USD 7594 million by 2030, witnessing a CAGR of 9.09% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Insect Dark Fiber Market:
The dark fiber market is experiencing robust growth due to the increasing demand for high-speed internet, data transfer, and secure communication infrastructure across various industries. Dark fiber refers to unused fiber-optic cables that are available for lease or purchase, allowing enterprises and service providers to establish private networks with dedicated bandwidth. The surge in data consumption, driven by cloud computing, 5G deployment, data centers, and IoT, has intensified the need for scalable and high-capacity networks, which dark fiber can provide. Additionally, sectors like telecom, IT, and healthcare are adopting dark fiber solutions to ensure better connectivity, network control, and security.
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TRENDS INFLUENCING THE GROWTH OF THE DARK FIBER MARKET
Single-mode fiber plays a crucial role in driving the growth of the dark fiber market due to its ability to support long-distance communication with minimal signal degradation. This fiber type offers high bandwidth and superior performance, making it ideal for telecommunication companies and data centers that require efficient transmission over extensive networks. The rapid increase in data consumption, driven by emerging technologies like 5G, cloud computing, and IoT, has intensified the demand for single-mode fiber. Its cost-effectiveness for long-haul applications further enhances its adoption, as it allows for higher transmission speeds and capacities over longer distances, making it a preferred choice for large-scale network expansion projects.
Multi-mode fiber is a key driver in the dark fiber market due to its efficiency in short-distance data transmission. Multi-mode fibers are particularly effective for data centers and intra-building communication networks where the focus is on high-speed connections over shorter distances. The demand for electric dark fiber, especially in urban infrastructure and renewable energy projects, has surged as these sectors require reliable, high-capacity data transfer solutions. Multi-mode fiber’s cost-effective installation and maintenance, along with its ability to handle high bandwidth over shorter distances, contribute significantly to the market’s growth, providing a reliable infrastructure for electric utilities and smart grid projects.
Telecom is one of the most significant sectors driving the growth of the dark fiber market due to the increasing demand for high-speed internet, large-scale network deployments, and seamless communication infrastructure. The rapid expansion of 5G networks, the need for backhaul connections, and the proliferation of data-intensive applications have all contributed to the growing adoption of dark fiber in the telecom industry. Telecom providers are leveraging dark fiber to reduce latency, enhance scalability, and increase network efficiency, which are critical for delivering enhanced customer experiences and supporting emerging digital services. As telecom networks continue to expand globally, the demand for dark fiber infrastructure is expected to rise.
One of the primary factors driving the growth of the dark fiber market is the exponential surge in global data consumption. With the widespread use of smartphones, connected devices, and the internet, data traffic has increased significantly. Streaming services, online gaming, video conferencing, and cloud computing are all fueling this growth. Dark fiber infrastructure is essential to accommodate this massive data flow, offering the bandwidth and capacity required to support such intensive usage. As businesses and consumers continue to generate more data, service providers rely on dark fiber networks to ensure faster, more reliable connections and to meet the growing demands for data transmission.
The growing adoption of cloud services by enterprises is another critical factor contributing to the growth of the dark fiber market. As businesses migrate their operations and data storage to the cloud, there is an increased need for high-speed, low-latency networks that can handle large volumes of data transmission. Dark fiber provides the necessary infrastructure for private, scalable, and secure network connectivity to the cloud. Enterprises across various industries, including healthcare, finance, and retail, are leveraging dark fiber to ensure seamless access to cloud applications, thus driving market growth. The continued shift toward cloud computing will likely increase demand for dark fiber solutions.
The rapid expansion of data centers worldwide is significantly boosting the dark fiber market. Data centers serve as critical hubs for storing and managing vast amounts of information. To ensure smooth operation, data centers require high-capacity, reliable, and secure fiber-optic networks. Dark fiber networks provide data centers with dedicated, high-performance connectivity, allowing them to scale their operations efficiently. The growth of edge computing and the need for real-time data processing have further intensified the demand for dark fiber connections in data centers. As the number of data centers grows, particularly in emerging markets, the need for dark fiber infrastructure will continue to rise.
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DARK FIBER MARKET SHARE ANALYSISThe dark fiber market shows varying growth trends across different regions, driven by factors like technological advancements and infrastructure investments. North America leads the market due to the rapid expansion of 5G networks, cloud computing adoption, and increasing data center construction. Europe follows closely, with countries investing in high-speed connectivity for smart cities and telecommunications. The Asia-Pacific region is witnessing significant growth, particularly in China, Japan, and India, driven by increased demand for internet services, telecom expansion, and government initiatives supporting digital infrastructure. Meanwhile, Latin America and the Middle East are also emerging as potential markets, propelled by growing data consumption and the need for improved connectivity in underdeveloped areas.
Key Players:
GTT CommunicationsUFINETVikram GroupDEPLUnite Private NetworksSterlite PowerColt Technology ServicesConsolidated CommunicationsCrown CastleNexGen NetworksSorrento NetworksFirstLightMicroscanWindstream Intellectual Property ServicesPurchase Chapters: https://reports.valuates.com/market-reports/QYRE-Auto-8O16959/global-dark-fiber/1
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