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Data Center Accelerator Market worth $372.9 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, July 9, 2024 /PRNewswire/ — The global data center accelerator market was valued at USD 109.9 billion in 2024 and is projected to reach USD 372.9 billion by 2029; it is expected to register a CAGR of 27.7% during the forecast period according to a new report by MarketsandMarkets™. Growing demand for cloud-based services, rising focus on parallel computing in AI data centers, and surging adoption of deep learning technology in big data analytics are attributed to the demand of data center accelerators.

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Browse in-depth TOC on “Data Center Accelerator Market” 

172 – Tables
70 – Figures
250 – Pages

Data Center Accelerator Market Report Scope:

Report Coverage

Details

Market Revenue in 2024

$ 109.9 billion

Estimated Value by 2029

$ 372.9 billion

Growth Rate

Poised to grow at a CAGR of 27.7%

Market Size Available for

2020–2029

Forecast Period

2024–2029

Forecast Units

Value (USD Million/Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Processor, Type, Application, End-user and Region

Geographies Covered

North America, Europe, Asia Pacific, and Rest of World

Key Market Challenge

Unreliability of AI algorithms

Key Market Opportunities

Proliferation of MLaaS offerings

Key Market Drivers

Increasing data volumes and pressing need for fast and efficient data processing

By End-user: IT & Telecom segment to account for the largest market share in the forecasted year.

The IT & Telecom segment accounted for the largest share of the data center accelerator market in 2029. The segment’s growth is attributed to the the exponential growth of data and the need for faster, more efficient data processing capabilities. As businesses increasingly rely on big data analytics, artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT) applications, traditional data center architectures struggle to keep up with the intensive computational and storage requirements. Accelerators such as GPUs, FPGAs, and ASICs offer significant performance improvements by offloading and optimizing specific tasks, enabling higher throughput and lower latency.

By Type: Cloud data centers accounted for a larger market share in the forecasted year.

Cloud data centers accounted for a larger share in the forecasted period. The increasing adoption of AI is causing changes in cloud server configuration. The cloud computing market has seen significant growth in recent years due to the increased volume of data transferred to the cloud from consumers. This has led to a rising demand for co-processors (accelerators) as they optimize server data processing by reducing latency. In AI-powered servers used for deep learning training, the typical CPU-to-GPU attachment rate is 1–4 GPUs; in some cases, it is around 1–8 GPUs. Deep learning is expected to dominate cloud workloads in the coming years, leading to increased demand for accelerators in cloud servers. It is projected that in the near future, over one-third of servers shipped will be dedicated to either deep learning training or deep learning inference. Additionally, accelerators are expected to be widely employed in public and enterprise cloud servers to enhance inference applications.

Leading cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, operate extensive networks of these data centers globally. Similarly, Xilinx Alveo U250 Data Center accelerator cards are designed to meet the constantly changing needs of modern data centers, providing up to 90X higher performance than CPUs for key workloads, including machine learning inference, video transcoding, and database search and analytics. Built on the Xilinx 16 nm Ultra Scale architecture, Alveo accelerator cards are adaptable to changing acceleration requirements and algorithm standards, capable of accelerating any workload without changing hardware and reducing the overall cost of ownership. The key benefit of Xilinx Alveo is that it can be accessed for both cloud and on-premises mobility deployment.

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North America is expected to hold the largest share of the data center accelerator market during the forecast period.

North America captured the largest share of the data center accelerator industry in the forecast period. This growth is attributed to the presence of a large number of data centers in the region implying the demand for data center accelerator processors such as GPU’s and ASIC’s. Major Cloud service providers have their headquarters in this region such as AWS (US), Microsoft (US), and Alphabet Inc. (US).

Key Players

The key data center accelerator companies that offer virtual reality devices include NVIDIA Corporation (US), Advanced Micro Devices, Inc (US), Intel Corporation (US), Alphabet Inc. (US), Qualcomm Technology, Inc. (US).

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About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

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.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

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Alkami to Host Webinar with Thomaston Savings Bank on Using Predictive AI to Deliver Data-Driven Guidance and Accelerate Growth

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Leaders from Alkami and Thomaston Savings Bank will discuss how financial institutions can use predictive AI and behavioral signals to drive strategic growth and strengthen account holder relationships

PLANO, Texas, Oct. 26, 2026 /PRNewswire/ — Alkami Technology, Inc. (Nasdaq: ALKT) (“Alkami”), a digital sales and service platform provider for financial institutions in the U.S., today announced an upcoming webinar hosted with Thomaston Savings Bank, “Guess Less and Grow More with Predictive AI.” The webinar will take place Wednesday, October 28, 2026, at 2 p.m. ET.

As account holders increasingly expect more personalized and proactive experiences, financial institutions have an opportunity to leverage data to deliver tailored guidance during every interaction. According to Alkami research, 44% of Americans who use digital banking wish their primary financial provider did a better job anticipating their financial needs and goals.1

The upcoming webinar will explore how financial institutions can respond to these expectations by using predictive artificial intelligence (AI) to drive growth across deposits and lending while strengthening primary relationships. Speakers will discuss how Alkami’s Data & Marketing Solution uses behavioral insights and predictive AI to help institutions identify growth opportunities and deliver more personalized outreach.

Featured speakers include:

Kent Blacksher, strategic account executive, AlkamiEthan O’Day, business intelligence analyst, Thomaston Savings Bank

“Data helps us understand how customers engage, but the real value comes from understanding what those behaviors may tell us about their needs,” said Ethan O’Day, business intelligence analyst, Thomaston Savings Bank. “Predictive AI can help us focus our outreach sooner and make it more relevant, while our team’s expertise keeps the work grounded in the relationships we have with our customers.”

During the session, attendees will learn how to:

Identify deposit and lending opportunities using behavioral signalsCreate more relevant outreach for customers and membersRecognize engagement and attrition signals earlierSimplify campaign execution and move from insight to actionBuild marketing strategies that support growth and retention

The presentation will explore real examples of how data-activated campaigns drive faster product adoption, along with insights into how predictive AI can help guide your team’s strategy.

“Financial institutions have more data than ever, but data creates value when teams can turn insight into action,” said Kent Blacksher, strategic account executive at Alkami. “Combining predictive AI with human expertise allows marketing teams to skip the guesswork while building stronger account holder relationships.”

To register for the webinar, visit here.

To learn more about Anticipatory Banking and the Alkami Digital Sales & Service Platform, visit here.

About Alkami
Alkami provides a digital sales and service platform for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

1 Alkami Proprietary Research. 2026 Digital Banking Americans Research Study. Online survey of 1,500 U.S. digital banking Americans conducted March 26–April 22, 2026.

Media Relations Contacts
Vested
alkami@fullyvested.com

Marla Pieton
marla.pieton@alkami.com

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SOURCE Alkami Technology, Inc.

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ProjectDiscovery Introduces Neo Triage, Replacing Static Risk Scores with Proven Exploitability

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Neo Triage reproduces every scanner, bug bounty and AI-generated finding against the real asset, then sets severity from proven impact

SAN FRANCISCO, Oct. 26, 2026 /PRNewswire/ — ProjectDiscovery, a leader in vulnerability detection and autonomous security testing, today announced the general availability of Neo Triage: a new capability in its Neo platform that validates every incoming security finding by safely reproducing it against the live asset. Every verdict comes with the exact requests and responses that prove it, so teams can go straight to fixing what’s real.

Neo Triage gives every team one place to triage findings from every source, including:

Dynamic triage: Runs safe, non-destructive tests from an isolated sandbox to reproduce each finding against the live assetVerdicts with evidence: Marks every finding valid, duplicate, needs more information, informative, not applicable or spam, and attaches the exact requests and responses as proofSeverity from proven impact: Sets severity from the impact Neo proved and from the asset’s context, including the data behind it, how exposed it is and what else it reachesOne queue for every source: Pulls findings from HackerOne, GitHub security advisories, security mailboxes, Wiz, Qualys, Orca and any other tool with an API onto one boardFix and retest: Suggests a fix, drafts a reply to the researcher and retests automatically once the fix shipsInsights: Tracks open backlog, SLA status, time to zero, weekly remediation and the quality of each source

“Today, AI has made finding vulnerabilities cheap, and security teams spend hours reproducing each finding by hand,” said Rishi Sharma, CEO and Co-founder of ProjectDiscovery. “In the next 6-12 months, triage and the bottleneck it causes will be the biggest problem security teams will face. Scanners, AI code review and AI-assisted bug hunting now generate findings faster than teams can review them, leaving most organizations with thousands – or even millions, of open findings. The hard part now is deciding which findings matter, and a score can’t make that decision. Proof can. Neo Triage tests every finding against the real asset and hands the team a verdict with the evidence attached, so teams spend their time on decisions instead of on reproducing reports.”

Manual triage takes anywhere from 15 minutes to four hours per finding. ProjectDiscovery estimates that for a 100,000-finding backlog, Neo Triage turns roughly 50,000 hours of manual work, the equivalent of 25 people for a year, into about 8,300 hours of verdict review. Every Neo tier – including its free, community tier – includes the full Triage product.

Neo itself is free to get started, with monthly usage included and no time limit. Anyone can sign up and run useful workflows immediately, whether that means triaging findings from their own scanners or running a prompt that checks whether they’re exposed to a newly disclosed vulnerability. As their usage grows, teams can move to Pro or Enterprise tiers under zero data retention.

For more information on Neo Triage, visit: https://projectdiscovery.io/blog/introducing-neo-triage 

About ProjectDiscovery

ProjectDiscovery is an open source cybersecurity company that built the security toolchain trusted by more than 100,000 practitioners worldwide. The company created Nuclei, the most widely used open source vulnerability scanner with over 10 billion scans run, along with a suite of modular tools including Subfinder, httpx, and Naabu that security teams use to map attack surfaces and identify exploitable vulnerabilities. Building on that foundation, ProjectDiscovery offers Neo, an AI-powered security testing platform that unifies SAST, DAST, and automated penetration testing to help teams move from finding vulnerabilities to verifying and fixing them. ProjectDiscovery is a winner of the RSAC Innovation Sandbox 2025 and a Black Hat Asia 2025 award recipient. Learn more at projectdiscovery.io.

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SOURCE ProjectDiscovery

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Corgi Insurance Appoints Morgan Bevin as VP, Public Affairs Officer

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SAN FRANCISCO, Oct. 26, 2026 /PRNewswire/ — Corgi, an AI-native insurance carrier and financial infrastructure company, today announced the appointment of Morgan Bevin as VP, Public Affairs Officer. Bevin will help lead Corgi’s government affairs efforts, working at the intersection of insurance, financial services, and emerging technology as the company continues to expand its insurance offerings and infrastructure.

Bevin joins Corgi from Sternhell Group, where she served as Principal, advising clients on government relations across financial services and technology. Her work spans public policy, regulatory strategy, and government affairs for financial institutions, technology companies, and organizations across the financial services sector.

Prior to Sternhell Group, Bevin was a Consultant at Wachsman, providing strategic advisory and communications services to financial services and emerging technology companies. She also served as a Professional Staff Member on the U.S. House of Representatives Committee on Financial Services, where she helped lead the Committee’s financial technology agenda. Earlier in her career, she was a Financial Services Policy Fellow for Representative French Hill (AR-02).

Bevin’s background in financial services policy and government relations comes as Corgi continues to build modern insurance infrastructure for businesses navigating increasingly complex risks. As AI reshapes the insurance industry, Corgi is focused on developing technology-driven underwriting and insurance products while engaging with the regulatory and policy landscape surrounding the sector.

“We’re excited to have Morgan join Corgi as we continue to grow our business and expand our presence across the insurance industry,” said Jeremy Eisemann, Chief External Affairs Officer and Deputy General Counsel at Corgi. “Her experience across government, financial services, and emerging technology will be valuable as we work with policymakers and industry stakeholders to support the next generation of insurance.”

About Corgi

Corgi Insurance is an AI-native insurance carrier and financial infrastructure company. The company combines proprietary underwriting technology, modern insurance infrastructure, and in-house claims capabilities to provide coverage for businesses across a growing range of industries.

Media Contact:
Corgi Press
press@corgi.com

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SOURCE Corgi

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