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Global Edge Data Centers (Metro, Mobile) Business Research Report 2024: Low-latency Processing and Real-time Automated Decision-making Solutions Fueling Demand – Forecasts to 2030

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DUBLIN, Feb. 28, 2024 /PRNewswire/ — The “Edge Data Centers Market by Type (Metro, Mobile), Component, Deployment, Organization, Application (AI, IoT, 5G & 4G, AR/VR), End-use Sector (IT & Telecommunication, Automotive, Transportation & Logistics), and Geography – Global Forecast to 2030” report has been added to  ResearchAndMarkets.com’s offering.

The global edge data centers market is expected to reach $46.4 billion by 2030, growing at a CAGR of 20.9% during the forecast period of 2023-2030.

The research report provides in-depth analysis of edge data centers market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2030.

The growth of the edge data centers market is mainly attributed to the increasing need for edge data centers for industrial IoT applications, the growing demand for low-latency processing and real-time automated decision-making solutions, and the increasing utilization of edge data centers in online video streaming. The high upfront capital expenditure required to implement edge data centers restrains the growth of this market.

Asia-Pacific is expected to account for the largest share of the edge data centers market, followed by North America, Europe, Latin America, and the Middle East & Africa. The Asia-Pacific region is projected to register the highest CAGR during the forecast period. The major factors driving the market’s growth are the rising adoption of advanced technologies, such as IoT and cloud computing, increasing demand for low-latency applications, the need to alleviate network congestion, improve overall network efficiency, and the increasing need for real-time analytics.

Additionally, the emergence of autonomous vehicles and the commercialization of 4G technology are expected to generate growth opportunities for the players in this market. Data privacy and security concerns are a major challenge for market growth. Furthermore, the rising adoption of IoT devices across industries and the growth in 5G networks are prominent trends in the edge data centers market.

Based on type, the global edge data centers market is broadly segmented into metro edge data centers and mobile edge data centers.

In 2023, the metro edge data centers segment accounted for the larger share of the global edge data centers market. The large share of this segment is mainly attributed to the growing deployment of 5G networks, increasing data traffic, and the need to provide localized cloud computing resources for businesses and organizations. However, the mobile edge data centers segment is projected to grow at the highest CAGR during the forecast period.

Based on component, the global edge data centers market is segmented into hardware, software, and services.

In 2023, the software accounted for the largest share of the global edge data centers market. The large share of this segment is mainly attributed to the increasing demand for workload orchestration, resource allocation, real-time data analysis, and rising demand for ultra-low latency applications. This segment is projected to record the highest CAGR during the forecast period.

Based on deployment mode, the global edge data centers market is segmented into on-premise deployments and cloud-based deployments.

In 2023, the cloud-based deployments segment accounted for the larger share of the global edge data centers market. This segment is projected to record the highest CAGR during the forecast period. The segment’s large share can be attributed to the increasing need to efficiently allocate resources, rapidly deploy applications and services closer to end users, and reduce latency while improving performance. This segment is projected to record the highest CAGR during the forecast period.

Based on organization size, the global edge data centers market is segmented into large enterprises and small & medium-sized enterprises.

In 2023, the small & medium-sized enterprise segment accounted for the larger share of the global edge data centers market. This segment is projected to record the highest CAGR during the forecast period. The segment’s large share can be attributed to the increasing demand for real-time processing and localized data management, enabling a competitive edge, optimizing operations, and accelerating the digital transformation journey.

Based on application, the global edge data centers market is segmented into artificial intelligence, Internet of things, AR/VR, telemedicine, 5G & 4G infrastructure, autonomous vehicles, video/live streaming, network functions virtualization, and other applications.

In 2023, the 5G and 4G infrastructure segments accounted for the largest share of the global edge data centers market. The large market share of this segment is mainly attributed to the rising demand for ultra-low latency applications, growing adoption of 5G networks, and growing adoption of edge data centers for high bandwidth in 5G infrastructure. However, the artificial intelligence segment is projected to record the highest CAGR during the forecast period.

Based on end-use sector, the global edge data centers market is segmented into IT & telecommunications, automotive, transportation & logistics, healthcare, energy & utilities, manufacturing, government & defense, retail, and other end-use sectors.

In 2023, the IT & telecommunications segment is expected to account for the largest share of the global edge data centers market. The large share of this segment is mainly attributed to the increasing demand for low-latency and high-bandwidth communication, real-time data processing, and the need to reduce the risk of data breaches during transmission while ensuring compliance with data protection regulations in the sector. This segment is projected to record the highest CAGR during the forecast period.

Key questions answered in the report:

Which are the high-growth market segments in terms of type, component, deployment mode, organization size, application, and end-use sector?What is the historical market for edge data centers across the globe?What are the market forecasts and estimates from 2023-2030?What are the major drivers, restraints, and opportunities in the global edge data centers market?Who are the major players in the global edge data centers market, and what shares of the market do they hold?Who are the major players in various countries, and what shares of the market do they hold?How is the competitive analysis?What are the recent developments in the global edge data centers market?What strategies are adopted by the major players in the global edge data centers market?What are the geographical trends and high-growth countries?Who are the local emerging players in the global edge data centers market, and how do they compete with the other players?

Market Insights

Factors Affecting Market Growth

Impact Analysis of Market DynamicsRising Need for Efficient Data Collection and ManagementIncreasing Demand For Low-latency Processing and Real-time Automated Decision-making SolutionsGrowth in Online Video Streaming Driving the Utilization of Edge Data CentersHigh Costs of Implementing Edge Data Centers Limiting Adoption among Small & Medium-sized EnterprisesEmergence of Autonomous Vehicles Driving theUse of Edge Data Centers for Low-latency Inter-vehicle CommunicationsCommercialization of 4G Technology Creating Market Growth OpportunitiesData Privacy & Security Concerns to Remain Major Challenges In the Utilization of Edge Data CentersRising Adoption of IoT Devices Across IndustriesGrowth in 5G Networks

Porter’s Five Forces Analysis

Comparison Between Traditional Data Centers And Edge Data Centers

Companies Featured

Dell Technologies Inc. (U.S.)Cisco Systems Inc. (U.S.)Eaton Corporation plc (Ireland)Fujitsu Limited (Japan)Schneider Electric SE (France)Hewlett Packard Enterprise Company (U.S.)Huawei Technologies Co. Ltd. (China)IBM Corporation (U.S.)NVIDIA Corporation (U.S.)Mitsubishi Electric Corporation (Japan)Equinix Inc (U.S.)American Tower Corporation (U.S.)Cyxtera Technologies Inc. (U.S.)ABB (Switzerland)Nxtra Data Limited (India) (a subsidiary of Bharti Airtel Limited)Zenlayer Inc. (U.S.)Switch Inc. (U.S.)Vertiv Group Corporation(U.S.)Nokia Corporation (Finland)EdgeConneX Inc. (U.S.)Reichle & De-Massari AG (Switzerland)Ubiquity Management LLC (U.S.)Vapor IO Inc. (U.S.).

For more information about this report visit https://www.researchandmarkets.com/r/4g5now

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Ally Waste Acquires Swift Integrated Services, Expanding Service Capabilities and Market Reach

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GILBERT, Ariz., Sept. 3, 2026 /PRNewswire/ — Ally Waste, a nationwide provider of comprehensive waste solutions for multifamily communities, announced today that it has acquired Swift Integrated Services, a Utah-based provider of dumpster management, doorstep trash pickup, and waste brokerage services.

“Every acquisition we make starts with the same question: Will it help us serve customers better? Swift expands our reach and brings capabilities that allow us to support more of our customers’ waste needs. We’re excited to welcome the Swift team to Ally and build on what they’ve created,” said James Crawley, CEO of Ally Waste.

The acquisition expands Ally Waste’s presence in Utah, Florida, and Idaho markets while strengthening the company’s waste stream optimization capabilities. It also brings waste brokerage capabilities to Ally, giving current customers another way to address their waste needs as the offering is integrated.

“Joining Ally gives us the opportunity to build on what we’ve created while bringing our customers the support and resources of a nationwide team,” said Indigo Schumann-Curtis, President of Swift Integrated Services. “Our customers can expect business as usual, with many of the same people continuing to support them. I’m excited about what our teams can accomplish together.”

Swift Integrated Services customers can expect continuity in both service and support throughout the transition. The Swift team will continue with Ally, bringing established customer relationships and deep market knowledge to the combined organization.

About Ally Waste

Ally Waste is a nationwide provider of comprehensive waste solutions for multifamily communities, including valet trash and recycling, bulk removal, and waste stream optimization services. Its technology gives owners and operators clear visibility into what they’re paying for waste across a portfolio, paired with on-the-ground teams who put those insights into action.

The company’s culture is grounded in its values of Integrity, Grit, and Humility. These principles drive Ally Waste’s commitment to supporting multifamily teams and delivering consistent, high-quality service that improves everyday life for residents and on-site staff. Learn more at www.allywaste.com.

Media Contact:
Doridé Uvaldo
duvaldo@allywaste.com

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SOURCE Ally Waste

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Gupshup Launches Self-Serve Voice AI Platform, Extending Conversational Engagement into Phone Calls

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Businesses can now build, test, and deploy AI voice agents across support, sales, and operations – alongside WhatsApp, RCS, and SMS – from a single platform

MUMBAI, India and SAN FRANCISCO, Sept. 3, 2026 /PRNewswire/ — Gupshup launched its Voice AI Platform, a self-serve console for building and running AI voice agents that handle calls end to end. The launch extends Gupshup’s engagement platform from messaging into voice, bringing support, sales, and operations onto the same infrastructure businesses use for WhatsApp, RCS, and SMS.

Gupshup’s Voice AI Platform resolves support calls, qualifies and converts leads, and automates operational calls such as scheduling, verification, and payment reminders, so human teams can focus on conversations that require a person.

The platform covers agent lifecycle in a no-code, prompt-based interface. Businesses configure an agent’s voice, language, knowledge base, system prompt, and workflows, then connect it to tools their teams use. Before going live, teams define guardrails, run simulations, and validate behaviour with tests – comparing models. Once deployed, analytics track success rates, satisfaction, and language usage, with transcripts, conversation history, and debug logs for review.

Gupshup’s platform is the first to bring unique capabilities. First, voice is a channel extension of a platform serving businesses across WhatsApp, RCS, and SMS – enabling voice-and-messaging experiences within a customer journey. Second, it supports telephony: PSTN and WhatsApp voice channels, on-premise and cloud deployment, and the option to bring PSTN infrastructure. Third, it is model-flexible – businesses choose speech-to-text, text-to-speech, and LLM providers rather than accepting a stack.

The platform builds on Gupshup’s experience powering customer engagement for 50,000+ businesses across 100+ countries and 25+ industries, processing 10 billion interactions monthly, including 500 million voice calls per month.

The Voice AI Platform has been beta tested and delivered outcomes across deployments. Users receive 100 minutes of credits to test, and pricing starts at USD 0.035 (INR 3.50) per minute.

“For customer engagement in emerging markets, Voice AI drives universal access – reaching every user regardless of language or literacy. In developed markets, it drives efficiency and automation. In both, it delivers cost savings, revenue growth, and satisfaction. With the launch of its Voice AI Platform alongside its messaging, Gupshup offers the only unified self-serve platform for customer engagement across voice and messaging,” said Beerud Sheth, Co-founder and CEO, Gupshup.

The Voice AI Platform is available to businesses at voiceai.gupshup.io.

For more information, visit www.gupshup.ai.

 

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SOURCE Gupshup Technology India Pvt Ltd

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Deepdub Launches Phantom Z 3.4 Conversational: Multilingual Text-to-Speech Built to Survive Real Customers, Not Just Demos

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Enterprise-grade real-time text-to-speech delivers 150ms time to first audio at full 48 kHz, with text normalization that gets account numbers, invoice totals and appointment dates right

TEL AVIV, Israel, Sept. 3, 2026 /PRNewswire/ — Deepdub, a foundational voice AI company pioneering expressive voice technologies, announced today the launch of Phantom Z 3.4 Conversational, a new multilingual text-to-speech model with high-fidelity 48 kHz audio, improved text normalization and extended Hebrew support. The model is available to all Deepdub clients now.

For enterprises running voice agents, a call holds together when four things go right at once. The voice sounds like a person. The response arrives fast enough to feel like a conversation. The agent knows when to speak and when to listen. And every account number, date and amount comes out the way a customer would say it. When one of them slips, the call escalates to a human, and that is where containment and cost are decided. Phantom Z 3.4 Conversational is built for all four.

“Every voice model sounds impressive for two minutes in a demo. Very few survive two weeks with real customers,” said Ofir Krakowski, CEO and co-founder of Deepdub. “Deployments don’t stall on the 95% a model gets right, they stall on the misread account number, the mangled surname, the one wrong digit on a live call. We built this model for that last few percent, because in production, the last few percent is the whole product.”

In English, the work is in text normalization, the step that turns written text into spoken words. A delivery date written 2024-12-31 is read as December thirty first, twenty twenty-four rather than as a run of digits. An invoice total written $1,240 is read as one thousand two hundred forty dollars. An appointment at 14:30 is read as two thirty. A reference written Chapter VII is read as chapter seven rather than as letters. These are the categories where Deepdub’s testing puts the model ahead of the other systems it was measured against. An enterprise running more than one language gets one set of behavior to test and one contract to hold rather than two.

Phantom Z 3.4 delivers an end-to-end p95 time-to-first-audio of 150 milliseconds in real-time mode at full-range 48 kHz audio, with cross-language voice transfer from under three seconds of reference audio. Deepdub builds and trains its own speech models from random rather than licensing them, which allows the company to bring a new language into production in two weeks. Deepdub covers more than fifty locales and dialects verified by local voice and language experts, inside a platform supporting more than 50 locales and dialects.

“We run Deepdub in production for live, real-time phone calls, where latency and naturalness aren’t nice-to-haves but the key factor in whether a caller stays on the line. 3.4 is the closest we’ve heard a synthetic voice come to a real person, and our callers show it: they stay longer, talk more, and engage with our agents like we’ve never seen before,” said Adir Haziza, CTO at Voiceman.

The hardest case is Hebrew, which is written without vowels, so the same letters can spell different words. The three letters of שלט are a sign read one way and a remote control read another. A model that reads one word at a time has to guess which the sentence means, and in Hebrew a wrong guess is not an accent, it is a different word that stays invisible until a customer hears it. Phantom Z 3.4 resolves this at the source. Pronunciation is decided from the whole sentence rather than word by word, and every instance of שלט in Deepdub’s Hebrew test set was read correctly. Where a brand name or a plan tier has to be said a particular way, marking it in the text is enough. Deepdub ranks first for Hebrew text-to-speech on the public TTS Arena leaderboard hosted by ivrit.ai on Hugging Face.

In Hebrew, national ID numbers, appointment dates and transaction amounts are expanded before speech, so a balance written as 1,240 ₪ is spoken in full rather than read out as digits. In blind listening tests, Phantom Z 3.4 was preferred over Deepdub’s previous Hebrew model in 71 percent of decisive comparisons.

“We needed something that would hold up consistently across a large volume of work, so we tested it thoroughly before deciding. What stood out was that the details came out right and the Hebrew was the most natural we’d heard,” said Dor Levy, Head of Jeen Talk at Jeen AI.

About Deepdub
Deepdub is the foundational voice AI model company pioneering expressive voice technologies for global enterprises across TV, film, advertising, gaming, e-learning, and AI-agent applications. The company’s international team of technology, dubbing, and linguistic experts deliver an end-to-end voice solution that preserves the emotional and cultural integrity of original content in more than 50 locales and dialects. With an advisory board that includes media leaders such as Kevin Reilly, former Chief Content Officer at HBO Max, and Emiliano Calemzuk, former President of Fox Television Studios, Deepdub is eliminating language barriers to enable the global diffusion of media on major streaming platforms like Netflix, Amazon Prime, and Hulu. Visit https://deepdub.ai or follow us on LinkedIn for more information.

Deepdub Media Contact
Zivit Katz
Deepdub
zivit.katz@deepdub.ai

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SOURCE Deepdub

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