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

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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.

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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.

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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.

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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™

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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.

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Brightmoor Hospice, LLC Provides Notification of Data Security Incident

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GRIFFIN, Ga., Oct. 16, 2026 /PRNewswire/ — Brightmoor Hospice, LLC (“Brightmoor”) is providing notification of a data security incident that may have impacted certain protected health information.

On or around March 25, 2026, Brightmoor Hospice, LLC (“Brightmoor”) discovered suspicious activity related to two employees’ email accounts. Upon discovery, Brightmoor took immediate action to secure the accounts and engaged a team of third-party specialists to investigate. The investigation determined that two employee email accounts were accessed without authorization between March 24, 2026, and March 25, 2026. Upon confirmation of unauthorized access, Brightmoor began a comprehensive review of the contents of the affected accounts to determine whether they contained sensitive information pertaining to individuals. On August 18, 2026, Brightmoor determined that protected health information belonging to certain patients was present within the accounts. Brightmoor then conducted a time-intensive review of its internal records to locate address information for the potentially impacted individuals. On October 16, 2026, Brightmoor began notifying individuals by mail.

The types of information vary by individual and may include name and one or more of the following: addresses, Social Security numbers, driver’s license information, dates of birth, patients’ identification numbers, diagnosis, medical history information, medical record numbers, medical treatment information, lab information, treating doctor’s name, medication information, vaccination information, medical insurance information, and family and social history information.

In response to this incident, Brightmoor worked with third-party specialists to investigate and implement additional security measures within its network. Brightmoor has no evidence of actual or attempted misuse of information as a result of this incident. Nonetheless, in an abundance of caution, Brightmoor is providing notice to potentially affected individuals and offering complimentary credit monitoring services. Individuals are also encouraged to monitor their account statements and explanation of benefits forms for suspicious activity and to detect errors. In addition, Brightmoor has notified the U.S. Health and Human Services Office for Civil Rights of this incident. 

Brightmoor has established a toll-free call center to answer questions about the incident and to address related concerns. The number for the hotline is 1-800-759-8524. The hotline hours of operation are Monday through Friday from 8 AM to 8 PM EST, excluding holidays. You can also write to 3247 Newnan Rd, Griffin, GA 30223.

Brightmoor takes protecting the privacy and security of personal information seriously and is reviewing and implementing further security enhancements designed to strengthen the protection of our systems.

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EVIDENT Expands Its Pramana Digital Pathology Portfolio to Support Small and Medium-Sized Labs

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The new Pramana™ POD benchtop WSI scanner delivers autonomous imaging to help laboratories create pathologist-ready whole slide images with minimal operator intervention.

NEEDHAM, Mass., Oct. 16, 2026 /PRNewswire/ — Today, Evident announced the Pramana™ POD whole slide imaging (WSI) scanner, a new benchtop system designed to help laboratories produce trusted images. Built for small and medium-sized laboratories and specialty applications within larger institutions, the scanner helps make digital pathology adoption more accessible.

As pathology laboratories expand digital workflows amid increasing case volumes and operational demands, they need scanning systems that produce consistent, high-quality images across specimen types while integrating into existing laboratory workflows. Evident designed the Pramana POD scanner to address those needs, extending proven Pramana autonomous WSI technology to smaller laboratories.

“Pramana WSI technology has received tremendous acceptance from pathology labs across academic medical centers and network labs across the United States,” said Prasanth Perugupalli, Vice President of Digital Pathology, Evident. “By incorporating quality assurance into the whole slide imaging process, Pramana technology can help labs of varying sizes reduce the need for post-scan QA and the associated costs and delays.”

The Pramana POD scanner automates imaging with an advanced tissue finder, extensive label detection, and automated focal plane and scan-profile selection. Built-in image-quality assessment helps deliver pathologist-ready whole slide images and identify scans that may require further review. Volumetric imaging captures multiple focal planes to support the selection of sharp focal information across the scanned area, with true 40X imaging at 25 slides per hour under defined conditions.

The Pramana series of autonomous WSI scanners is well-suited for most brightfield imaging applications, including histopathology, core biopsies, hematology, cytology, and microbiology.

“Scientific advances move quickly, but laboratory infrastructure changes slowly,” Perugupalli added. “With the Pramana POD scanner, small and medium-sized labs can build as their needs evolve.”

To learn more about the Pramana POD benchtop WSI scanner, visit evidentscientific.com/products/slide-scanners/pramana-pod.

About EVIDENT
For over 100 years as Olympus, we set the industry standard for optical precision in microscopy, helping the world see what was once out of view. Today, as Evident, we continue to help scientists, physicians, and engineers illuminate the unseen with advanced imaging solutions that combine renowned optics with cutting-edge digital innovation.

Our life science portfolio supports research, clinical diagnostics, and education, offering a comprehensive range of imaging methods from essential brightfield and darkfield microscopy to advanced fluorescence, 4D analysis, and digital pathology. In industrial microscopy, we deliver precision and flexibility through laser scanning, digital, and semiconductor microscopes designed for tasks ranging from routine inspection to intricate quality control and manufacturing analysis.

Whether advancing new therapies, ensuring product integrity, or exploring the unknown, Evident is defining a new era of discovery with easy-to-use tools that help unlock hidden answers and empower exciting new breakthroughs.

Evident is headquartered in Tokyo and supported by R&D and manufacturing centers in Japan, the United States, Germany, and China, with operations and dedicated sales and service centers around the world. For more information, visit EvidentScientific.com.

For Research Use Only. Not for use in diagnostic procedures. Future clinical availability is subject to applicable regulatory authorization, and regulatory status and availability may vary by country. Performance varies by specimen type and workflow.
Pramana is a trademark of Evident Corporation or its subsidiaries.

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PhotonPay Secures UK EMI Licence, Advancing Its Global Payment Operating System

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HONG KONG, Oct. 17, 2026 /PRNewswire/ — PhotonPay, a next-generation payment operating system, today announced that it has secured an Electronic Money Institution (EMI) licence from the UK Financial Conduct Authority (FCA).

The licence enables PhotonPay to issue electronic money and provide regulated payment services in the UK within the scope of its authorisation. It further strengthens PhotonPay’s local capabilities in the market and supports the company in delivering broader payment and treasury solutions for businesses operating globally.

The UK is one of the world’s leading financial and commercial hubs, and an important gateway for businesses operating across Europe and international markets. As companies expand into more countries and regions, their financial needs are evolving beyond individual cross-border transactions toward more integrated management of accounts, collections, payouts, foreign exchange, cards and treasury operations.

For PhotonPay, entering a market means more than making products and services available. It requires building a local financial foundation that meets regulatory requirements and can support businesses over the long term. The EMI licence further strengthens PhotonPay’s position in the UK and provides an important foundation for deeper connectivity with local banks, payment networks and the broader financial ecosystem.

JP, Global Head of Compliance at PhotonPay, said:

“Securing our UK EMI licence marks an important milestone in the continued expansion of PhotonPay’s global regulatory footprint. Building a global payment operating system requires strong local regulatory foundations. This authorisation strengthens our ability to build for the long term in the UK, while supporting our continued expansion across more markets, currencies and payment networks. Ultimately, it enables us to deliver a more complete and efficient payment and treasury experience for businesses operating globally.”

As businesses expand internationally, the financial infrastructure behind their operations remains highly fragmented. Different markets operate across distinct account structures, payment networks, currencies and regulatory frameworks, often requiring businesses to manage multiple financial institutions, payment providers and systems at the same time.

PhotonPay is building its next-generation payment operating system around this complexity. Through a unified technology platform, the company connects local financial capabilities across markets, enabling businesses to manage global accounts, collections, payouts, foreign exchange, cards and embedded finance more centrally while reducing the operational complexity created by multiple markets, currencies and systems.

Real commerce is the foundation of this operating system. By continuously expanding its regulatory coverage, banking relationships, payment networks and underlying technology infrastructure, PhotonPay aims to ensure that financial infrastructure can scale alongside a business as it enters new markets and grows internationally.

Since its founding, PhotonPay has continued to expand its global regulatory and local market capabilities through entities across major financial markets. Today, PhotonPay has secured nearly 30 payment licences and related regulatory authorisations worldwide, supporting capabilities across global accounts, collections, payouts, foreign exchange, cards and embedded finance.

The UK EMI licence represents another step in the continued development of PhotonPay’s global regulatory network. Looking ahead, PhotonPay will continue to deepen its local regulatory and financial capabilities in key markets, connect more markets, currencies and payment networks, and advance the development of its next-generation global payment operating system.

About PhotonPay

PhotonPay is a next-generation payment operating system designed for businesses operating globally. Across global accounts, collections, payouts, foreign exchange, cards and embedded finance, PhotonPay connects banks, payment networks and local financial infrastructure to help businesses manage global money movement more efficiently and expand into new markets with greater operational simplicity.

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