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Edge Server Market Size to Grow USD 18990 Million by 2030 at a CAGR of 30.6% | Valuates Reports

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BANGALORE, India, July 10, 2024 /PRNewswire/ — Edge Server Market is Segmented by Type (Blade, Rack, HCI), by Application (Industrial Servers, Commercial Servers): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global Edge Server Market was valued at USD 2873.1 Million in 2023 and is anticipated to reach USD 18990 Million by 2030, witnessing a CAGR of 30.6% during the forecast period 2024-2030.

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Major Factors Driving the Growth of Edge Server Market:

Because of the growing need for real-time applications and low-latency data processing, the edge server market is expanding significantly. Closer to the end users, edge servers enable better performance and faster data handling for activities like IoT device management, autonomous driving, and infrastructure for smart cities. The development of 5G technology, the rising use of AI and machine learning at the edge, and the expanding need for effective data management solutions are the main factors driving this market expansion. In order to guarantee uninterrupted data processing capabilities, lower latency, and improve operational efficiency, businesses are substantially investing in edge computing infrastructure; as a result, the edge server market is an essential part of the contemporary digital ecosystem.

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TRENDS INFLUENCING THE GROWTH OF THE EDGE SERVER MARKET:

The market for edge servers is expanding thanks in large part to rack servers, especially for industrial use cases. Their dependability, scalability, and strong performance make them perfect for meeting the rigorous demands of industrial settings. Large volumes of data produced by industrial IoT devices and sensors may be effectively managed by rack servers, enabling real-time analytics and decision-making. Their capacity to meet demanding storage and high-performance computing requirements under challenging circumstances guarantees continuous operations and increased efficiency. Rack servers are essential for streamlining industrial processes by lowering latency and enabling localized data processing. This has led to a notable increase in the edge server industry.

Blade edge servers’ small size, high density, and energy efficiency are propelling the edge server market’s expansion. These servers are especially useful in spaces where there are limitations on space since they have a modular design that makes maintenance and scalability simple. Densely packing blade servers into a single chassis maximizes processing capability while reducing energy usage and physical footprint. Because of their capacity to handle a wide range of workloads and applications, they are perfect for edge computing scenarios where high performance and fast deployment are crucial. Blade edge servers are a popular option for companies wishing to expand their edge computing capabilities because to their efficiency and flexibility, which is driving market growth.

The market for edge servers is expanding due to the fact that commercial edge servers are fulfilling the different demands of companies in different industries. These servers are appropriate for a variety of business applications because they provide a good mix of performance, affordability, and ease of setup. Commercial edge servers facilitate localized data processing, which speeds up response times and improves user experiences in a variety of industries, including banking, retail, healthcare, and education. Particularly with the expanding usage of IoT and digital services, their scalability and agility enable organizations to better manage data flow and enhance their operations. Commercial edge servers are becoming increasingly popular due to their adaptability and usefulness, which is greatly propelling the edge server market’s growth.

The increasing need for low-latency applications is one of the main factors propelling the edge server market’s expansion. Near-instantaneous data processing is becoming critical due to the growth of real-time applications including financial trading platforms, online gaming, and driverless cars. Because of the physical distance that data must travel, traditional centralized data centers frequently increase delay. Faster reaction times are made possible by edge servers, which are situated closer to the data source and greatly minimize latency. This low-latency feature is essential for applications that need to process and receive data instantly, which helps explain why edge servers are becoming more and more popular in a variety of sectors.

The increasing need for low-latency applications is one of the main factors propelling the edge server market’s expansion. Near-instantaneous data processing is becoming critical due to the growth of real-time applications including financial trading platforms, online gaming, and driverless cars. Because of the physical distance that data must travel, traditional centralized data centers frequently increase delay. Faster reaction times are made possible by edge servers, which are situated closer to the data source and greatly minimize latency. This low-latency feature is essential for applications that need to process and receive data instantly, which helps explain why edge servers are becoming more and more popular in a variety of sectors.

The market for edge servers is mostly driven by cost effectiveness. Infrastructural and maintenance costs for traditional centralized data centers are high. Conversely, edge servers provide a more affordable option by eliminating the requirement for large-scale data transmission and central processing. Reduced bandwidth expenses and a reduced need for costly data center expansions are two benefits of localized data processing. Moreover, enterprises may extend their infrastructure in accordance with demand by deploying edge servers progressively. Because of their affordability and scalability, edge servers are a desirable choice for businesses trying to maximize their IT spending.

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EDGE SERVER MARKET SHARE:

Because of its robust technological infrastructure, early adoption of 5G and IoT, and concentration of large tech businesses heavily invested in edge computing solutions, North America has the highest market share.

Asia Pacific is expanding rapidly as a result of growing industrial automation, government programs supporting digital transformation, and a thriving IoT market. Although China is a major participant in this, developing nations like South Korea and India are also expanding rapidly.

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Key Companies:

Dell IncHPELenovoCiscoNokiaHuaweiGIGABYTE TechnologyFujitsu LimitedADLinkAtosAdvantechSugonInspurOnLogicTrusme

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Technology

IIFL Capital Launches Algo Marketplace with Over 100 Ready-Made Strategies

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MUMBAI, India, June 19, 2026 /PRNewswire/ — IIFL Capital Services Limited (https://www.iiflcapital.com) today announced the launch of its next-generation algorithmic trading platform. The platform offers access to more than 100 ready-made exchange-approved algorithmic trading strategies, making sophisticated trading tools accessible to a wider investor base.

Algorithmic trading has emerged as one of the fastest-growing segments in global capital markets, driven by advances in technology, data analytics and automation. In India, increasing regulatory clarity and growing investor adoption are accelerating the shift towards systematic and rules-based trading approaches.

Commenting on the launch, Rachit Mehta, Head of Products and Platform, IIFL Capital, said:

“For over three decades, IIFL has been at the forefront of innovation in India’s financial services industry. From pioneering digital investing solutions to building cutting-edge trading infrastructure, technology has been central to our growth journey. The launch of our Algo Marketplace marks another important milestone in that evolution.”

“With access to over 100 ready-made strategies, a robust technology architecture and participation from leading exchange-approved strategy providers, I believe we have created one of the most comprehensive algorithmic trading ecosystems in the country. Our objective is to democratize access to sophisticated trading strategies and empower investors with institutional-grade tools through a simple and intuitive platform.”

The launch further strengthens IIFL Capital’s position as a technology-led financial services institution. Over the past three decades, the company has consistently invested in digital innovation, helping millions of investors access capital markets through advanced yet user-friendly solutions.

As algorithmic trading continues to gain momentum in India, IIFL Capital’s platform aims to bridge the gap between institutional-grade technology and retail investor participation, bringing automation, discipline and data-driven decision-making to a broader audience.

About IIFL Capital Services Ltd

IIFL Capital Services Ltd (formerly known as IIFL Securities Limited) (NSE: IIFLCAPS) (BSE: 542773) is one of the key capital market players in the Indian financial services space. IIFL Capital offers broking services, wealth management, financial products distribution, institutional broking, research and investment banking services.

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Technology

LUMIQ Raises INR 50 Crore Pre-Series B to Become the AI Decision Layer for Financial Services

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While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.

NEW DELHI and MUMBAI, India, June 19, 2026 /PRNewswire/ — LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India’s largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.

Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.
Shoaib Mohammad, Co-founder and CEO, LUMIQ

From AI that assists to AI that decides

For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution’s own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.

The results in production speak clearly. At a leading life insurer, LUMIQ’s LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24×7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.

LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.
Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ

This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone’s decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.

LUMIQ’s investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.

As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team’s expansion across the US and Southeast Asia.
Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates

Our conviction is grounded in what LUMIQ has already built. Their AI agents aren’t just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.
Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates

Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.
Kitty Agarwal, Partner, Info Edge Ventures

LUMIQ’s goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.

About LUMIQ

LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).

Web: www.lumiq.ai

Photo – https://mma.prnewswire.com/media/2997317/LUMIQ_Funding.jpg

 

 

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Technology

LUMIQ Raises Strategic Funding to Become the AI Decision Layer for Financial Services

Published

on

By

While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.

NEW YORK and SINGAPORE, June 19, 2026 /PRNewswire/ — LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India’s largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.

Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.
Shoaib Mohammad, Co-founder and CEO, LUMIQ

From AI that assists to AI that decides

For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution’s own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.

The results in production speak clearly. At a leading life insurer, LUMIQ’s LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24×7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.

LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.
Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ

This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone’s decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.

LUMIQ’s investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.

As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team’s expansion across the US and Southeast Asia.
Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates

Our conviction is grounded in what LUMIQ has already built. Their AI agents aren’t just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.
Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates

Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.
Kitty Agarwal, Partner, Info Edge Ventures

LUMIQ’s goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.

About LUMIQ

LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).

Web: www.lumiq.ai

Photo – https://mma.prnewswire.com/media/2997283/LUMIQ_Funding.jpg

 

 

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