AI Inference Market Forecast Report to 2030, with Case Studies of Intel, Siemens Healthineers, Nvidia, Eleuther AI

The AI Inference market is set to surge, growth is driven by data from connected devices and digital initiatives, necessitating advanced inference systems for real-time insights. Machine learning dominates the sector, backed by major tech firms like Alphabet Cloud, Amazon , and Microsoft . Enterprises are rapidly adopting AI for operations, with regions like Asia Pacific investing heavily. Key players include Nvidia , Intel , and Samsung. This report provides insights on market drivers, innovations, and strategies for leaders and new entrants.

Dublin, April 21, 2025 (GLOBE NEWSWIRE) -- The "AI Inference Market by Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Deployment (on-Premises, Cloud, Edge), Application (Generative AI, Machine Learning, NLP, Computer Vision) - Global Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

The AI Inference market is projected to attain a valuation of USD 106.15 billion by 2025, reaching USD 254.98 billion by 2030, with a CAGR of 19.2% during the period. This growth is propelled by increased data generation due to ubiquitous connected devices, social media, and digital transformations. Efficient inference systems are necessary to analyze this data to provide real-time insights, keeping businesses competitive and responsive.

The demand for AI inference is bolstered by the need for personalized user experiences, especially in recommendation systems across e-commerce and content platforms. Regulatory demands in healthcare and finance further push organizations towards AI inference adoption for tasks like fraud detection and diagnostics, ensuring accuracy and scalability.

Machine Learning Segment Dominance in 2024

The Machine Learning segment is expected to hold a significant market share. Driven by its extensive applications across industries, machine learning, especially deep learning and reinforcement learning algorithms, require substantial computational resources. High-performance GPUs, TPUs, and AI accelerators are crucial for deploying these models effectively.

Tech giants such as Alphabet Cloud, Amazon Web Services, and Microsoft Azure are advancing their AI offerings to support complex ML models. Recent innovations, like Gcore's "Inference at the Edge", showcase low-latency AI processing capabilities using strategically placed nodes equipped with Nvidia L40S GPUs. Such developments highlight machine learning's stronghold in the AI inference market.

Enterprise Segment Growth Projections

The enterprise sector is poised for high CAGR growth, driven by AI solutions enhancing operational efficiency and customer personalization. Enterprises leverage AI across domains like customer service, supply chain optimization, and predictive analytics. The collaboration between Nutanix and Nvidia exemplifies advancements in generative AI adoption, facilitating scalable GenAI deployments both centrally and at the edge.

Asia Pacific Market Expansion

The Asia Pacific region is anticipated to exhibit significant growth, supported by investments in AI infrastructure from countries like China, Japan, South Korea, and Singapore. Nvidia 's strategic partnerships in India, such as with Yotta and E2E Networks, aim to bolster AI technologies and foster AI inference, aiding startups through innovative accelerator programs.

Prominent market players include Nvidia Corporation, Advanced Micro Devices , Intel , SK HYNIX, Samsung, and others. Emerging companies like Mythic, Blaize, Groq, Inc., and SAPEON Inc. are also crucial to the AI Inference market's dynamic landscape.

Research Coverage and Benefits

This report categorizes the AI Inference market by compute, memory, network, deployment, application, and region. It outlines key drivers, challenges, and opportunities, along with leadership mapping and competitive landscape analysis.

Key Insights Provided:

• Analysis of drivers influencing AI inference growth, such as edge processing needs and enhanced GPU capabilities.
• Product development and innovation insights, including emerging technologies and AI services.
• Market growth and expansion opportunities across varied regions.
• New product and service diversification, uncovering untapped geographies and recent developments.
• In-depth competitive assessment of key market participants and their strategies.

Key Attributes:

Key Topics Covered:

Market Dynamics

• Drivers
  • Growing Demand for Real-Time Processing on Edge Devices
  • Growth of Advanced Cloud Platforms Offering Specialized AI Inference Services
  • Enhanced GPU Capabilities for Inference Tasks
• Challenges
  • Data Privacy Concerns
  • Supply Chain Disruptions
• Opportunities
  • Growth of AI-Enabled Healthcare and Diagnostics
  • Advancements in Natural Language Processing for Improved Customer Experience
  • Increasing Demand for Real-Time Data Processing and Analytics
• Case Studies
  • AI-Powered Radiation Therapy Optimization with Intel and Siemens Healthineers
  • Artificial Intelligence Accelerates Dark Matter Search with Advanced Micro Devices , Inc. FPGAs
  • Serving Inference for LLMs: a Case Study with Nvidia Triton Inference Server and Eleuther AI
  • Finch Computing Reduces Inference Costs Using AWS Inferentia for Language Translation
• Industry Trends

Company Profiles

• Nvidia Corporation
• Advanced Micro Devices , Inc.
• Intel
• SK Hynix Inc.
• Samsung
• Micron Technology , Inc.
• Apple .
• Qualcomm Technologies, Inc.
• Huawei Technologies Co. Ltd.
• Alphabet
• Amazon Web Services, Inc.
• Tesla
• Microsoft
• Meta
• T-Head
• Graphcore
• Cerebras
• Mythic
• Blaize
• Groq, Inc.
• Hailo Technologies Ltd.
• Sima Technologies, Inc.
• Kneron, Inc.
• Tenstorrent
• Sambanova Systems, Inc.
• Sapeon Inc.
• Rebellions Inc.
• Shanghai Biren Technology Co. Ltd.

For more information about this report visit https://www.researchandmarkets.com/r/oudl46

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