Connect with us

Technology

AI Inference Market worth $254.98 billion by 2030 – Exclusive Report by MarketsandMarkets™

Published

on

DELRAY BEACH, Fla., Feb. 28, 2025 /PRNewswire/ — The AI Inference market is expected to grow from USD 106.15 billion in 2025 and is estimated to reach USD 254.98 billion by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 19.2% from 2025 to 2030 according to a new report by MarketsandMarkets™. The AI inference market is growing due to the surge in generative AI and large language models (LLMs), which require robust inference capabilities for real-time applications like chatbots and content creation. Increasing data volumes and the need for cost-effective, energy-efficient solutions are pushing innovation in AI inference chips. Furthermore, the rise of 5G networks enables faster data transmission, supporting real-time AI inference in smart cities, autonomous vehicles, and industrial automation, creating new opportunities for market expansion.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=189921964

Browse in-depth TOC on “AI Inference Market” 
322 – Tables
85 – Figures
365 – Pages

AI Inference Market Report Scope:

Report Coverage

Details

Market Revenue in 2025

$ 106.15 billion

Estimated Value by 2030

$ 254.98 billion

Growth Rate

Poised to grow at a CAGR of 19.2%

Market Size Available for

2020–2030

Forecast Period

2025–2030

Forecast Units

Value (USD Million/Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Compute, Memory, Network, Deployment, Application, End User, and Region

Geographies Covered

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

Key Market Challenge

Data privacy concerns

Key Market Opportunities

Growth of AI-enabled healthcare and diagnostics

Key Market Drivers

Enhanced GPU capabilities for inference tasks

By network, NIC/Network Adapters segment is projected to have highest market share and highest CAGR during the forecast period.

The NIC (Network Interface Card)/ network adapters is expected to have the highest market share and will experience the highest CAGR over the forecast period. The demand for this segment is growing due to the high requirement for high-speed, low-latency data transfer in AI-based environments. As AI workloads, especially in data centers and cloud computing, increase and become more data-intensive, the demand for network infrastructure that is efficient to handle rapid data movement between Ai inference chips and distributed systems is growing. NIC/Network adapters allow AI systems to work with large datasets in real time and enable faster inference of AI models. For instance, Intel Corporation (US) released Gaudi 3 enterprise AI accelerator, which provides ethernet networking in April 2024. It allows scalability for businesses that offer training, inference, and fine-tuning. The company also introduced AI-optimized ethernet solutions, incorporating an AI NIC and AI connectivity chips, through the Ultra Ethernet Consortium. In addition, SmartNICs advancements which offload tasks such as encryption, compression, and data processing from CPUs, improve the efficiency and scalability of AI inference further. Their cost effectiveness and the ability to integrate with the existing infrastructures, makes NICs a cornerstone in AI networking.

By application, generative AI segment will account for the highest CAGR during the forecast period.

Generative AI is expected to grow rapidly in the AI inference market because of its transformative capabilities, increased computational efficiency and enhanced accessibility. Companies like NVIDIA Corporation and Advanced Micro Devices, Inc. are developing specialized GPUs with enhanced tensor cores optimized for the parallel processing demands of Generative AI. NVIDIA recently introduced generative AI microservices in March 2024, allowing developers to create and deploy AI copilots across the massive installed base of CUDA-enabled GPUs. These microservices integrated into NVIDIA AI Enterprise 5.0, accelerate inference tasks, retrieval-augmented generation (RAG) and the LLM customization, shortening deployment time from weeks to minutes. Major application providers such as Adobe, SAP, and CrowdStrike are leveraging these innovations highlighting the rising adoption of generative AI for real-time applications. Advancements in specialized hardware like NVIDIA’s H100 GPUs and edge AI platforms like Jetson will further enable efficient and scalable deployment of generative models within industries like healthcare to cybersecurity. Such advancements show that more reliance is placed on generative AI in terms of innovation and operational efficiency, thereby growing the AI inference market rapidly.

By end user- enterprises segment in AI inference market will account for the high CAGR in 2025-2030

The enterprises segment will have the highest growth rate in the AI Inference market. Enterprises have widely adopted AI solutions for better operational efficiency, offer personalized customer experience and to drive innovation. Enterprises have resources and infrastructure to deploy large-scale AI models in domains such as customer service, supply chain optimization, and predictive analytics. Healthcare enterprise use AI for medical imaging and diagnostics, financial organizations for fraud and risk detection, and retailer for AI-based recommendation system and inventory management. This growth is further propelled by rise in advancements in enterprise-focused AI platforms that simplify the deployment and scale AI applications. For instance, In May 2024, Nutanix (US) collaborated with NVIDIA Corporation (US) in order to boost adoption for generative AI. This integration of Nutanix’s GPT-in-a-Box 2.0 with NVIDIA’S NIM inference microservices will enable enterprises to deploy scalable, secure, and high-performance GenAI applications both centrally and at the edge. With its platform, Nutanix simplifies the deployment of AI models and reduces the need for specialized Ai expertise and empowers businesses to implement AI strategies. These innovations highlight the increasing pace at which enterprises are investing in AI inference for competitive advantages and operational improvement.

Inquiry Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=189921964

North America region will hold highest share in the AI Inference market.

North America is projected to account for the largest market share in the AI inference industry during the forecast period. The growth in this region is majorly driven by the strong presence of leading technology companies and cloud providers, such as NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Micron Technology, Inc (US), Google (US), and IBM (US) which are heavily investing in advanced AI inference technologies. These companies are building state-of-the-art data centers equipped with AI processors, GPUs, and other required hardware to meet the ever-increasing demand for AI applications across industries. In addition, the governments of this region are emphasizing efforts toward improving AI inference capabilities. For instance, in September 2023, the US Department of State announced initiatives for the advancement of AI partnering with eight companies, including Google (US), Amazon (US), Anthropic PBC (US), Microsoft (US), Meta (US), NVIDIA Corporation (US), IBM (US), and OpenAI (US). They planned to invest more than USD 100 million for infrastructure required for AI deployment, particularly in cloud computing, data centres and AI hardware. These investments promote innovation and collaboration between the public and private sectors, boosting North America’s leadership in AI inference technologies.

Key Players

Key companies operating in the AI inference companies are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Apple Inc. (US), Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), T-Head (China), Graphcore (UK), Cerebras (US), among others.

Get 10% Free Customization on this Report:
https://www.marketsandmarkets.com/requestCustomizationNew.asp?id=189921964

Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting

Related Reports: 

AI Infrastructure Market by Offerings (Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Storage, Software), Function (Training, Inference), Deployment (On-premises, Cloud, Hybrid) – Global Forecast to 2030

AI Chip Market Size, Share & Industry Trends Growth Analysis Report by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)), Function (Training, Inference) & Region – Global Forecast to 2029

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.

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA: +1-888-600-6441
Email: sales@marketsandmarkets.com
Visit Our Web Site: https://www.marketsandmarkets.com/
Research Insight: https://www.marketsandmarkets.com/ResearchInsight/ai-inference-companies.asp
Content Source: https://www.marketsandmarkets.com/PressReleases/ai-inference.asp

Logo: https://mma.prnewswire.com/media/1868219/MarketsandMarkets_Logo.jpg

 

View original content:https://www.prnewswire.co.uk/news-releases/ai-inference-market-worth-254-98-billion-by-2030—exclusive-report-by-marketsandmarkets-302388319.html

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

The Next Generation of Agent Assist is Here with Balto

Published

on

By

ST. LOUIS, Sept. 1, 2026 /PRNewswire/ — Balto, the leading AI platform for contact centers and the company that invented the category of agent assist called real-time guidance in 2017, today officially unveiled RTG3 – the tool is being regarded as the future of agent assist – not for its first of its kind features, but also because it’s an agent assist that consistently delivers measurable ROI.

Introducing RTG3

RTG3 delivers what Balto describes as ambient agentic intelligence for the frontline contact center agents – an experience the contact center space has never seen before, and one that is being heralded as the future of agent assist.

The idea was born from a simple but powerful feeling: Making the agent app the central command center for the frontline by providing instant answers to information that’s impossible to memorize, the ability to search for information right on the app, and turning it into a personalized workspace, rather than just another screen/app on their desktop.

RTG3 brings that experience to the frontline contact center agent for the first time, within the context of their work. Rather than a single nudge tucked on the side of the screen, RTG3 is agentic intelligence that works on the agent’s behalf, automatically launching AI agents that gather the answers, customer context, and hard-to-find information a live conversation calls for, exactly when it’s needed. The result is a frontline agent with AI at their fingertips and the freedom to focus on the customer in front of them.

That power belongs to the agent. RTG3 is built for the frontline, designed to be made their own, personalized and arranged around how each person works best; not to monitor them, and not to replace them. It is Balto’s bet on humans and on what they are capable of when given the best possible tools. RTG3 is available today, free to existing Balto real-time guidance customers, through a fast and easy implementation.

Consistently delivers measurable ROI

Agent assist is the top investment priority for contact center leaders. According to industry-leading analysts in Customer Management Practice (CMP) Research, in the 2026–2027 year, 61% of leaders say they are going to invest in agent assist, making it the number one category, ahead of analytics and insights, chatbots and virtual agents, knowledge management, and automated QA.

Renowned for an excellent product suite, customer service and a platform that consistently delivers measurable ROI across multiple industries, Balto holds a 4.8-star rating across more than 600 reviews on G2 and Capterra, and has built RTG3 to meet that demand where the ROI actually lands: improved customer retention, agent to manager ratio, reduced agent turnover, accelerated ramp time, reducing handle time, better CSAT scores, and higher conversion rates.

“If you know there’s golden data, why are you waiting for somebody to go into your product, go to the interface and ask the question? Provide them with the data that you know is good,” says Balto CEO Marc Bernstein. That principle of putting that intelligence directly in front of the agent, rather than waiting for someone to ask, is at the heart of RTG3.

How RTG3 Works

RTG3 works today in the format contact center teams already know: the app is nestled in over the side of the screen and integrates with the CCaaS and UCaaS to start and stop automatically as calls come in and go out. For the first time, Balto is also introducing an intelligent agent desktop powered by ambient agentic intelligence for the frontline contact center agent.

Customer History before the call: The second a call comes through, Balto automatically populates the history of that customer by working through previous Balto conversations and transcripts. Agents immediately see why the customer is calling and their most recent call history. Customer History carries a 93% thumbs-up rating from agents.AI agents working in the background: When a customer mentions a city, Balto pulls local weather and sports. When a competitor comes up, it pulls that competitor’s reviews and surfaces the common complaints. In healthcare, when a provider is mentioned, Balto returns the provider’s name, specialty, practice address, and a link to their listing. All of it happens in the background while the agent keeps talking.Answers to questions impossible to memorize: Agents can ask Balto anything, including questions no one could reasonably memorize, such as pricing a plan for several hundred seats with the right discounts applied. Balto searches knowledge resources in Balto Cloud and can search a customer’s SharePoint. Every answer cites its source and deep links to the exact article, page, and section it came from.Real-time checklists are built as levers: The best AI checklists are not a full script; they are a few levers that let agents hit the metrics that matter: compliance requirements like verification, deeper discovery, and an assumptive ask or close. Agents can set completed items to auto-disappear, or keep them visible.A home base for the agent: Agents no longer have to navigate an obstacle course of tabs, CRMs, and Slack channels just to answer one customer question. RTG3 consolidates everything agents need–compliance, knowledge, workflows, and supervisor support–into one customizable workspace.Make it your own: RTG3 brings everything agents need into one place, and lets them make it their own. Agents can customize their layouts, pin what they use most, and personalize the look and feel of their workspace. Every agent can create a workspace that fits the way they work. If it works the way agents have longed for and they can personalize it, agents will use it.

Available and ready to use now

RTG3 is available now and free to existing Balto agent assist customers, with an implementation Balto describes as fast and low lift. Balto’s team stays involved through implementation and beyond, helping teams prepare documents so AI can read them accurately and connecting knowledge databases so agents can query the full knowledge base from inside Balto.

Customers are already seeing incredible results with a Health Insurance brokerage call discovery rose from below 20% to roughly 51%, with an approximate 10% increase in sales as RTG3 usage grew and a Home Improvement company’s new hire ramp to estimate certification dropped from about 90 days to 30.

Learn more about Balto Agent Assist.

About Balto

Balto is the #1 rated agent assist, QA automation, and agentic insights platform for contact centers, wrapped into a single platform where humans and AI work together. Founded in 2017, Balto was the first company to bring agent assist to market and has since deployed it across more than 300 customers and 500 million interactions. Balto is backed by Telescope Partners and Vista Equity Partners. Learn more at balto.ai

View original content to download multimedia:https://www.prnewswire.com/news-releases/the-next-generation-of-agent-assist-is-here-with-balto-302866178.html

SOURCE Balto Software, Inc.

Continue Reading

Technology

S&P Dow Jones Indices and Kaiko Introduce S&P Kaiko Digital Asset Indices

Published

on

By

New co-branded suite brings both companies’ crypto index offerings onto a single platform

NEW YORK, Sept. 1, 2026 /PRNewswire/ — S&P Dow Jones Indices (“S&P DJI”), the world’s leading index provider and Kaiko, the global independent leader in digital asset market data, indices, and data infrastructure, today announced the combined digital asset index offerings under a single co-branded suite: S&P Kaiko Digital Asset Indices.

With this release, Kaiko’s digital asset reference rates and multi-asset indices, together with S&P DJI’s existing crypto indices, will be rebranded under the S&P Kaiko name. The suite is powered by Kaiko’s crypto-native data infrastructure and market expertise, with S&P DJI providing global licensing, distribution and benchmark administration.

With institutional participation in digital assets growing, asset managers, ETF issuers, exchanges and structured product providers increasingly require benchmarks that combine robust data, transparent methodologies, trusted governance and global distribution. The S&P Kaiko Digital Asset Indices are designed to meet that demand by pairing S&P DJI’s institutional benchmark expertise with Kaiko’s 24/7 digital asset data platform and exchange connectivity.

“Together, S&P DJI and Kaiko are raising the standard for digital asset benchmarks. As the asset class matures, institutional investors need indices defined by transparency, rigor and market relevance. This suite combines the trusted S&P brand with Kaiko’s crypto-native data infrastructure and market expertise, purpose-built for global, 24/7 digital asset markets,” said Cameron Drinkwater, Chief Product & Operations Officer at S&P Dow Jones Indices.

The S&P Kaiko Digital Asset Indices suite will operate on a single platform built on Kaiko’s technology stack, with S&P DJI’s benchmark administration, licensing and distribution infrastructure integrated into its commercial operations. S&P DJI brings decades of index governance experience, global licensing capabilities and benchmark administrator status under the EU Benchmarks Regulation, aligned with the IOSCO Principles for Financial Benchmarks. Kaiko will provide data sourcing and calculation through its crypto market expertise, connectivity to 150+ exchanges and round-the-clock infrastructure, as well as index methodology support.

At launch, the S&P Kaiko suite covers over 4000 rates and indices across the digital asset class. Existing financial products benchmarked to Kaiko reference rates and multi-asset indices – including exchange-traded products, futures, options and structured products – will be able to leverage the new S&P Kaiko brand.

“S&P DJI and Kaiko bring what digital asset markets have been missing: a globally trusted benchmark brand paired with crypto-native infrastructure built for 24/7 markets. S&P Kaiko Digital Asset Indices gives institutions the credibility, distribution and data precision they need to participate in this asset class with confidence,” said Ambre Soubiran, CEO at Kaiko. 

To learn more about the S&P Kaiko Digital Asset Indices visit here.

For additional information about Kaiko’s data infrastructure, indices, and pricing solutions, visit kaiko.com. Kaiko Indices, S.A., as a legal entity, will retain its existing brand and BMR registration.

ABOUT S&P DOW JONES INDICES 

S&P Dow Jones Indices is the largest global resource for essential index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based on our indices than products based on indices from any other provider in the world. Since Charles Dow invented the first index in 1884, S&P DJI has been innovating and developing indices across the spectrum of asset classes helping to define the way investors measure and trade the markets. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies, and governments to make decisions with confidence. For more information, visit: www.spglobal.com/spdji.

ABOUT KAIKO

Kaiko provides regulated data services for onchain finance. Founded in 2014, the company delivers institutional-grade digital asset market data, analytics, indices, and data infrastructure for tokenized and traditional markets. Its clients include banks, asset managers, exchanges, and leading financial institutions worldwide. Kaiko’s data and infrastructure support trading, valuation, risk management, tokenized assets, and onchain applications, connecting traditional and blockchain-based markets. For more information, visit: kaiko.com.

FOR MORE INFORMATION: 

Silke McGuinness 
Global Head of Communications, S&P DJI
(+1) 415-205-8414
silke.mcguinness@spglobal.com

Victoria Calmon
Kaiko
Editorial & Communications Manager
press@kaiko.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/sp-dow-jones-indices-and-kaiko-introduce-sp-kaiko-digital-asset-indices-302866449.html

SOURCE S&P Dow Jones Indices

Continue Reading

Technology

AirDNA Launches Adapt, the AI-Native Revenue Management System for Short-Term Rental Operators

Published

on

By

DENVER, Sept. 1, 2026 /PRNewswire/ — AirDNA, the leading provider of short-term rental (STR) data and analytics, today launched AirDNA Adapt, adding revenue management to its product stack for STR hosts and property managers. Built with AI at its core rather than layered onto a traditional rules-based pricing model, Adapt weighs each listing’s full competitive landscape using data from the 15 million listings AirDNA tracks, then sets nightly rates and minimum stays with a clear rationale for every rate.

Adapt was built in response to feedback from thousands of STR hosts surfacing a recurring industry challenge: operators often can’t tell whether their pricing is working or understand why a rate has changed. More than 14,000 listings were connected to Adapt during private and public betas, which kept operator feedback at the center of product development.

“Pricing a property shouldn’t require translating your strategy into dozens of rules and settings,” said Rohit Bezewada, CEO of AirDNA. “We built Adapt around a simpler approach: operators set the strategy, and Adapt handles the complexity underneath. We believe operators should always be able to understand what the system is doing and why, in plain language they can act on.”

Key features include:

Daily dynamic pricing: Nightly rates and minimum stays adjust as market and booking conditions change, with local event detection built inUnlimited comp-sets: Auto-built, editable comp sets with historical and forward-looking performance benchmarks, plus a daily comp calendar comparing rates, minimum stays, and availabilityFour pricing strategies: Operators set the goal, whether revenue, occupancy, a balance of the two, or steadier earnings from earlier bookings, and Adapt sets the underlying pricing rules to match, all adjustablePerformance dashboard: Tracks actual booked revenue, ADR, RevPAR, occupancy, and length of stay, benchmarked against the listing’s history and comp set, with up to two years of historical performanceAI assistant: Explains why any given rate was set, tests alternative scenarios, and applies pricing changes with operator approval

“Good pricing starts with understanding what a property is competing against, and most operators are working with a partial view of their market,” said Jamie Lane, AirDNA’s Chief Economist. “We’ve spent twelve years building the full picture, which Adapt now puts to work on every pricing decision.”

Adapt is available today at AirDNA.co/adapt and is free to connect, with integrations for Airbnb, Guesty, Hostaway, Hospitable, OwnerRez, and Uplisting, and more integrations coming in 2026.

Adapt Media Kit

About AirDNA

AirDNA is a global authority on short-term rental data and intelligence for hosts, property managers, investors, real estate professionals, and destinations worldwide, covering 15 million listings across Airbnb, Vrbo, and Booking.com in 120,000 markets globally. AirDNA provides the data, analytics, and tools to understand market and competitive performance, identify and underwrite investment opportunities, and optimize pricing and revenue, supporting smarter decisions in any market or economic climate.

airdna.co 

Media Contact

Chloé Garlaschi

Sr. Communications Manager, AirDNA

press@airdna.co

(720) 372-2318

View original content to download multimedia:https://www.prnewswire.com/news-releases/airdna-launches-adapt-the-ai-native-revenue-management-system-for-short-term-rental-operators-302866288.html

SOURCE AirDNA

Continue Reading

Trending