Connect with us

Technology

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

Published

2 years ago

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

Related Topics:
Continue Reading
Click to comment

Leave a Reply

Your email address will not be published.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

Technology

Flō Networks Announces Intention to Launch Public Tender Offers to Acquire Up to 100% of Controladora Axtel, S.A.B. de C.V. and Axtel, S.A.B. de C.V.

Published

10 minutes ago

on

September 1, 2026

By

MEXICO CITY and EL PASO, Texas, Sept. 1, 2026 /CNW/ — Transtelco Holding, Inc. (doing business as Flō Networks, or “Flō”), a U.S.-based, independent digital infrastructure provider operating its own fiber-optic network across Mexico, the Southwestern United States and Latin America, today announced its intention to launch concurrent public tender offers (ofertas públicas de adquisición, or the “Offers”) to acquire up to 100% of the outstanding shares of Controladora Axtel, S.A.B. de C.V. (“Controladora Axtel”) and up to 100% of the outstanding CPOs of Axtel, S.A.B. de C.V. (“Axtel,” and together with Controladora Axtel, the “Axtel Companies”).

Flō has received preliminary approval from the Boards of Directors of both Axtel Companies to continue the process

Flō has received preliminary approval from the Boards of Directors of both Axtel Companies to continue the process toward launching the Offers, and is working to obtain the required regulatory approvals.

The commencement of the Offers remains subject to authorization by the Comisión Nacional Bancaria y de Valores, clearance by the Comisión Nacional Antimonopolio, the receipt of any other required regulatory approvals, and the satisfaction of the applicable contractual and corporate conditions. Subject to the satisfaction of these requirements, Flō is prepared to move promptly toward commencement of the Offers. The terms and conditions of the Offers, including the applicable offering documents, will be published in accordance with Mexican securities laws and the regulations of the Bolsa Mexicana de Valores at the appropriate time.

“This is an important step in our long-term vision for Flō and for the digital infrastructure that will support Mexico’s continued economic and technological development,” said Miguel Fernandez, Chief Executive Officer of Flō Networks. “By bringing together the complementary networks, capabilities and talent of Flō and Axtel, we have an opportunity to create a stronger digital infrastructure platform with greater scale, reach and capacity to serve customers across Mexico and beyond. We believe that stronger infrastructure enables stronger businesses, greater innovation and new opportunities for the communities and economies we connect.”

The proposed acquisition would combine complementary assets and expertise to strengthen Flō’s ability to invest in network resilience, expand its portfolio of digital services and deliver greater value to businesses operating in Mexico and across the region. Flō believes the combination would create meaningful operational and commercial synergies while supporting continued investment in the infrastructure required for critical technologies for productivity and competitiveness. The transaction would also create opportunities for long-term value creation for customers, employees, shareholders, partners and the communities the companies serve.

About Flō Networks

Founded as Transtelco in 2001, Flō Networks is a leading digital infrastructure provider connecting companies on both sides of the U.S.-Mexico border and across the Americas. Flō provides comprehensive connectivity solutions and advanced cloud infrastructure to Fortune 500 companies, telecommunications providers and cable operators through a fiber-optic network spanning more than 30,000 route miles across the Southwestern United States and Mexico, with connectivity across fifteen countries throughout the Americas. For more information, visit flo.net.

View original content to download multimedia:https://www.prnewswire.com/news-releases/fl-networks-announces-intention-to-launch-public-tender-offers-to-acquire-up-to-100-of-controladora-axtel-sab-de-cv-and-axtel-sab-de-cv-302866536.html

SOURCE Flō Networks

Continue Reading

Technology

Arista Demand Hires Jordanna Howard to Strengthen the Company’s Continued Growth

Published

10 minutes ago

on

September 1, 2026

By

SAN FRANCISCO, Sept. 1, 2026 /PRNewswire/ — Arista Demand, a leading provider of B2B demand generation solutions, is pleased to announce Jordanna Howard has joined the company as VP, Global Integrated Sales, effective September 1, 2026.

Prior to joining Arista Demand, Jordanna spent five years at Veritas Media Group, serving as VP of Client Services. Jordanna played a key part in growing VMG’s client portfolio and driving net-new revenue through new business partnerships, while also expanding and strengthening existing client relationships. She was instrumental in championing VMG’s reputation for white-glove service, exceptional client experiences, and long-term client success.

Jordanna joins Arista Demand as the organization continues to expand its capabilities, strengthen and build client partnerships, and help B2B organizations connect with the right prospects through results-driven demand generation and media initiatives.

“We are thrilled to welcome Jordanna to Arista Demand,” said Managing Director, Jennifer Sand. “She brings tremendous experience, energy, and a client-focused approach that aligns perfectly with how we work. Jordanna will be an important part of our continued growth, and we’re excited to have her on the team.”

In her new role, Jordanna will focus on client development, partnerships, and sales. Her experience in digital and non-traditional media will further strengthen Arista Demand’s ability to deliver innovative and integrated, measurable solutions, beyond lead gen, for clients.

“I’m excited to join Arista Demand and become part of a team that is so focused on its clients and their success,” said Howard. “I look forward to contributing to the company’s growth and helping our clients achieve meaningful results.”

Jordanna lives in Napa, California, with her partner, Jeff, and daughter, Mackie. Outside of work, she loves spending time with family and friends and is passionate about giving back.

She serves on UCSF’s Board of Directors for “All May See” vision foundation as well as sfBIG’s Board, supporting and connecting the Bay Area advertising community. Jordanna is also actively involved in her daughter’s school and is the troop leader for her local Girl Scouts Brownie troop.

About Arista Demand

Arista Demand helps B2B organizations accelerate revenue through intent targeted demand generation programs designed to connect brands with their respective audience that matter most. Through a combination of intent, 1st party data, strategy, technology, and client-focused execution, Arista Demand helps marketers build pipeline and drive measurable business results. Arista Demand brings buyers and sellers together around the globe. 

View original content to download multimedia:https://www.prnewswire.com/news-releases/arista-demand-hires-jordanna-howard-to-strengthen-the-companys-continued-growth-302865498.html

SOURCE Arista Demand

Continue Reading

Technology

Reducto Unveils a Frontier Parsing Model That Makes the World’s Hardest Documents AI-Ready for 1¢ a Page

Published

10 minutes ago

on

September 1, 2026

By

The new r-1 model is the first in a family of document intelligence models that reduces parsing errors by up to 20% while replacing complex, multi-tool pipelines with a single model that costs up to 6× less.

SAN FRANCISCO, Sept. 1, 2026 /PRNewswire/ — Reducto today introduced r-1, a frontier document parsing model that turns complex PDFs, scans, spreadsheets, and other files into accurate, structured data for AI systems.

Reducto has already established itself as a leader in document parsing by handling the long tail of complex files that break conventional tools. Available today in preview, r-1 extends that lead—reducing errors by up to 20%, improving latency at high volumes, and bringing the all-in cost down to 1¢ per page.

Before an AI system can reason over a document, it must first understand what is on the page. That becomes difficult when meaning is encoded not only in text, but also in tables, handwriting, reading order, formatting, checkboxes, strikethroughs, and the position of content. A parser that misreads a financial table can give an AI agent the wrong numbers. One that drops a strikethrough can reverse the meaning of a contract.

Established services such as Amazon Textract and Azure Document Intelligence helped make cloud document processing widely available. But organizations working with complex documents often still combine multiple tools, models, and layers of post-processing to achieve the accuracy they need. In Reducto’s evaluations, r-1 outperformed commonly used hyper-scaler products and large LLMs on complex documents while providing a complete parse at one all-in price.

Built from the ground up and trained on some of the most challenging document data in the world, r-1 combines layout detection, reading order, tables, formatting, grounding, and granular citations in a single model. It is designed for the long tail of documents where simpler parsers break down, including dense tables, unusual layouts, low-quality scans, handwriting, watermarked content, and files that do not follow predictable templates.

By combining these capabilities, r-1 can handle an organization’s full document workload without requiring teams to route files among providers or maintain separate pipelines for different document types. Its flat price of 1¢ per page includes the complete parse, without additional model charges or feature-based multipliers.

r-1 is the first in a broader family of Reducto parsing models designed for different points on the accuracy, latency, and cost curve. Planned additions include r-1 mini, a smaller model for speed- and cost-sensitive workloads, and automatic routing that selects the right model for each page.

Organizations using another parser can receive up to $5,000 in credits to test r-1 on their most difficult documents, along with hands-on benchmarking support, at reducto.ai/migrate. r-1 is also available today in preview through a configuration flag in the Reducto Parse API.

About Reducto

Reducto is an agentic document platform that turns complex, real-world documents into structured data for AI agents and document-intensive workflows. The company has raised more than $108 million from investors including Andreessen Horowitz and First Round Capital and has processed more than a billion pages a month. Its customers include Harvey, Scale AI, Vanta, Airtable, Toast, and Fortune 10 enterprises.

 

View original content to download multimedia:https://www.prnewswire.com/news-releases/reducto-unveils-a-frontier-parsing-model-that-makes-the-worlds-hardest-documents-ai-ready-for-1-a-page-302866077.html

SOURCE Reducto

Continue Reading

Trending