Technology
AI Inference Market worth $254.98 billion by 2030 – Exclusive Report by MarketsandMarkets™
Published
1 year agoon
By
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
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Best AI Design Tools (2026): CapCut Named a Top Choice for Creating Images and Marketing Assets by Software Experts
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NEW YORK, July 18, 2026 /PRNewswire/ — Software Experts has recognized CapCut as a top choice among AI design tools for 2026, citing its AI Design Studio as a standout resource for creating images and marketing assets. The recognition points to the platform’s combination of automated layout generation, image editing, and campaign focused features built for marketers, e-commerce sellers, and content creators.
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CapCut AI Design Studio – a web based design workspace that uses AI to help users create ads, product visuals, and branded content without prior design experience.
Core Capabilities of the AI Design Studio
The AI Design Studio is built around a conversational, infinite canvas that allows users to work with an AI design agent in real time. Instead of starting from a blank template, users type a prompt, upload reference images, and receive layout options generated automatically.
The latest version, Design 2.0, brings references, drafts, assets, and edits into a single workspace. Features include pencil prompting for visual editing, smart layer split for separating subjects and backgrounds, and a One More function that generates new creative directions from an existing design. Users can circle, brush, or mark up an image directly to guide how the AI adjusts a design, rather than relying only on written prompts.
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Applications for E-Commerce and Marketing Teams
The AI Design Studio supports several common business use cases, including product content creation, trend based design remixing, and clothing visualization for fashion brands. These features are designed to reduce the time spent on repetitive production tasks, particularly for teams that need to update visuals frequently.
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Design Automation Powered by Seedream 5.0
For marketing posters and layout heavy assets, the AI Design Studio incorporates the Seedream 5.0 model, which is ranked first on Artificial Analysis’ Text-to-Image Leaderboard. The model is used to arrange visual elements, generate multiple layout variations, and handle typesetting automatically based on uploaded product images.
This approach is intended to reduce the manual work involved in formatting marketing materials. Uploading one or more product photos allows the system to generate several layout options, positioning text, imagery, and other elements without requiring manual placement. Once a layout is generated, users can continue refining it with stickers, filters, or additional effects within the same workspace.
The process is designed to move from prompt to a finished, ready to use asset without requiring separate design software. For teams producing large volumes of seasonal or promotional content, this can reduce the number of tools involved in a single campaign.
Why AI Design Tools Matter for Small Teams
AI design tools are becoming useful because many teams need more visual content than traditional workflows can comfortably support. The Software Experts review notes that marketers, creators, and small businesses often need product images, social graphics, banners, email headers, event posters, and campaign visuals on tight timelines.
For small teams, the main advantage is not simply automation. It is the ability to get to a workable draft faster. Starting from a blank canvas can slow down campaign production, especially when a team is managing several platforms or product lines. AI-assisted design tools can generate starting points, resize assets, suggest layouts, and help keep visuals consistent across channels.
Access and Getting Started
The AI Design Studio is accessible through CapCut desktop by selecting Design Agent from the main dashboard. Users enter a text prompt describing the desired output, optionally upload reference images, and review the generated results.
A typical workflow might involve uploading a reference photo and entering a detailed prompt describing a desired style, color palette, or setting. The AI then generates initial design options based on that input. The built in editor allows for further adjustments, including color changes, auto cutout, element removal, and text overlays, before the final image is downloaded in high resolution.
Software Experts noted that the AI Design Studio is suited to a range of users, from e-commerce sellers managing large catalogs to individual creators producing social media content, as well as marketing teams handling multiple campaigns at once. The tool is offered as part of CapCut’s existing platform, with pricing details available directly through CapCut.
Readers can find the full review at Software Experts.
About CapCut
CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.
About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.
View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html
SOURCE SoftwareExperts.org
Technology
Best AI Design Tools (2026): CapCut Named a Top Choice for Creating Images and Marketing Assets by Software Experts
Published
39 minutes agoon
July 18, 2026By
NEW YORK, July 18, 2026 /PRNewswire/ — Software Experts has recognized CapCut as a top choice among AI design tools for 2026, citing its AI Design Studio as a standout resource for creating images and marketing assets. The recognition points to the platform’s combination of automated layout generation, image editing, and campaign focused features built for marketers, e-commerce sellers, and content creators.
Best AI Design Tools
CapCut AI Design Studio – a web based design workspace that uses AI to help users create ads, product visuals, and branded content without prior design experience.
Core Capabilities of the AI Design Studio
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The latest version, Design 2.0, brings references, drafts, assets, and edits into a single workspace. Features include pencil prompting for visual editing, smart layer split for separating subjects and backgrounds, and a One More function that generates new creative directions from an existing design. Users can circle, brush, or mark up an image directly to guide how the AI adjusts a design, rather than relying only on written prompts.
An inspiration hub with built in assets and license free images is also part of the workspace, helping users start projects without sourcing outside materials. Layers for text, subjects, and backgrounds remain editable throughout the process, which allows for adjustments without regenerating an entire design from scratch.
Applications for E-Commerce and Marketing Teams
The AI Design Studio supports several common business use cases, including product content creation, trend based design remixing, and clothing visualization for fashion brands. These features are designed to reduce the time spent on repetitive production tasks, particularly for teams that need to update visuals frequently.
For e-commerce sellers, the tool can generate product main images, banners, and packaging designs from a single uploaded photo, and supports batch replacement across shared backgrounds. A seller managing multiple product lines can apply the same background and layout across different items with one click, rather than recreating each asset individually.
Fashion brands can use the AI clothing try-on feature to visualize how garments appear on different models, helping with catalog updates during seasonal campaigns such as Black Friday. Marketing and social teams can generate assets in multiple styles and resize them automatically for different platforms, which helps maintain consistency across channels without manual reformatting. The trend remixing feature also allows brands to reference the structure of a popular design while keeping the content original to their own products.
Design Automation Powered by Seedream 5.0
For marketing posters and layout heavy assets, the AI Design Studio incorporates the Seedream 5.0 model, which is ranked first on Artificial Analysis’ Text-to-Image Leaderboard. The model is used to arrange visual elements, generate multiple layout variations, and handle typesetting automatically based on uploaded product images.
This approach is intended to reduce the manual work involved in formatting marketing materials. Uploading one or more product photos allows the system to generate several layout options, positioning text, imagery, and other elements without requiring manual placement. Once a layout is generated, users can continue refining it with stickers, filters, or additional effects within the same workspace.
The process is designed to move from prompt to a finished, ready to use asset without requiring separate design software. For teams producing large volumes of seasonal or promotional content, this can reduce the number of tools involved in a single campaign.
Why AI Design Tools Matter for Small Teams
AI design tools are becoming useful because many teams need more visual content than traditional workflows can comfortably support. The Software Experts review notes that marketers, creators, and small businesses often need product images, social graphics, banners, email headers, event posters, and campaign visuals on tight timelines.
For small teams, the main advantage is not simply automation. It is the ability to get to a workable draft faster. Starting from a blank canvas can slow down campaign production, especially when a team is managing several platforms or product lines. AI-assisted design tools can generate starting points, resize assets, suggest layouts, and help keep visuals consistent across channels.
Access and Getting Started
The AI Design Studio is accessible through CapCut desktop by selecting Design Agent from the main dashboard. Users enter a text prompt describing the desired output, optionally upload reference images, and review the generated results.
A typical workflow might involve uploading a reference photo and entering a detailed prompt describing a desired style, color palette, or setting. The AI then generates initial design options based on that input. The built in editor allows for further adjustments, including color changes, auto cutout, element removal, and text overlays, before the final image is downloaded in high resolution.
Software Experts noted that the AI Design Studio is suited to a range of users, from e-commerce sellers managing large catalogs to individual creators producing social media content, as well as marketing teams handling multiple campaigns at once. The tool is offered as part of CapCut’s existing platform, with pricing details available directly through CapCut.
Readers can find the full review at Software Experts.
About CapCut
CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.
About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.
View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html
SOURCE SoftwareExperts.org
Technology
Samsung Selects Chandigarh University Student as ‘Punjab AI State Topper’
Published
2 hours agoon
July 18, 2026By
CU Student Devesh Panwar Wins Rs 1 Lakh Award for Developing AI-Based Document Search System
CHANDIGARH, India, July 18, 2026 /PRNewswire/ — A Bachelor of Computer Applications (BCA) student of Chandigarh University, Devesh Panwar, has been named the “Punjab State Topper” in the Artificial Intelligence (AI) under the Samsung Innovation Campus (SIC) AI Program organised by Samsung in collaboration with Telecom Sector Skill Council (TSSC) and training partner Focal Skill Development (Focalyt) to equip Indian youth with industry-relevant in-demand skills in AI, loT, Big Data, and Coding & Programming, preparing them for future careers.
A final-year student of Bachelor of Computer Applications (BCA) at University Institute of Computing (UIC) of Chandigarh University, Devesh Panwar also won a cash award of Rs 1 lakh along with a laptop, and exclusive Samsung rewards for achieving this remarkable milestone under the Samsung Innovation Campus AI Program.
“Being named ‘AI State Topper’ was a moment of profound pride and validation for me. Hard work, intense technical training and a passion for AI culminated in the immense honor of the Punjab State Topper title. Besides getting access to state-of-the-art tools to fuel my future research and development endeavor, I gained world-class knowledge during the Samsung Innovation Campus (SIC) AI Program. It helped me in gaining hands-on experience and applied AI to solve real-world challenges, especially in aeronautical and technical domains,”
During Samsung Innovation Campus (SIC) AI Program, Devesh and his team worked on innovative AI capstone project which was presented before the jury panel as part of the final assessment.
“Our team developed the advanced AI-powered system AI Research Agent, a Retrieval-Augmented Generation (RAG) platform designed for intelligent querying of private document collections. Organizations, researchers, legal professionals, and HR teams often work with large collections of documents. Traditional search methods rely heavily on keyword matching and require significant manual effort to locate relevant information. The project was developed to address the limitations of traditional document search systems, which often struggle with contextual understanding, retrieval accuracy, learning adaptability, and response speed,” said Devesh.
“The developed system demonstrated significant improvements over traditional document retrieval approaches with faster response generation with integration of modern AI techniques, full-stack development, database systems, and intelligent automation into a single practical solution. By combining modern RAG architecture with innovative retrieval and reasoning mechanisms, this system provides a fast, intelligent, and user-friendly solution for knowledge discovery and resume evaluation. This project not only enhanced our technical expertise in Artificial Intelligence and Full-Stack Development but also strengthened our problem-solving, teamwork, and professional communication skills. It stands as a significant achievement of our Samsung Innovation Campus 2025 journey and reflects our commitment to building impactful AI solutions for real-world challenges,” he added.
Congratulating Devesh Panwar for being named “Punjab State Topper” AI under the Samsung Innovation Campus Samsung Innovation Program, Deepinder Singh Sandhu, Senior Managing Director, Chandigarh University, said, “Devesh’s achievement reflects Chandigarh University’s focus on experiential learning and industry-academia collaboration. Through the Samsung Innovation Campus AI Program, CU students gain practical exposure to AI and building solutions for real-world challenges. This accomplishment reflects not only Devesh’s commitment to excellence but also the growing culture of innovation and industry-oriented learning at Chandigarh University,”.
“Since its inception, Chandigarh University has set benchmarks for world-class education with its dynamic hands-on experiential learning model, industry-aligned programs, dynamic fraternity, state-of-the-art infrastructure facilities and impeccable placements. Samsung Innovation Program is also part of our initiatives to develop a future-ready talent pool equipped with advanced capabilities in AI, loT, Big Data, and Coding and Programming. By bridging the gap between theoretical learning and real-world application, this collaboration helps in providing CU’s computer science and computing students exposure to cutting-edge and emerging technologies. CU’s this partnership with Samsung is focused on building future-ready talent equipped with industry-relevant skills in AI and emerging technologies,” Sandhu said.
He said Chandigarh University’s Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. “Chandigarh University carries a vision of crafting next-gen IT professionals who can take up industry challenges effectively and our Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. UIC’s hands-on approach paves the way for a smooth transition to the workforce after graduation. Our students are equipped with the best knowledge, skills and passion to succeed in any number of computing careers. CU’s Institute of Computing renders cutting-edge education ranging from the expertise in traditional software development -to- modern computing technologies. Fully-equipped industry-sponsored labs, industry-aligned curriculum, and accreditations and validations by top companies such as Intel, Microsoft, Google Android, Red Hat etc. give our students an exclusive edge over others,” the Chandigarh University CMD said.
Sandhu said the latest edition of QS World University Rankings has yet again reaffirmed Chandigarh University global standing as a top educational institution. “Continuing its remarkable rise among the world’s leading higher education institutions, Chandigarh University (CU) has made impressive strides in the latest edition of prestigious QS World University Rankings 2027 by securing an overall world rank of 526, an increase of 49 ranks as compared to 575th rank in QS’ 2026 Rankings. This is for the fifth consecutive year that Chandigarh University’s global rankings have witnessed an impressive surge with CU’s world rank going up by an impressive 274 ranks — from the 800th rank in 2023 to 526th in 2027’s Rankings,”.
“As per the latest QS World University Rankings, with All India Rank of 13 among all universities in the country as compared to 16th rank in 2026’s rankings, Chandigarh University now ranks among the top 1% of universities in India and the top 2% of universities in the World, underscoring its growing reputation as a leading institution of higher learning, both in India and globally,” he added.
About Chandigarh University
Chandigarh University is a NAAC A+ Grade University and QS World Ranked University. This autonomous educational institution is approved by UGC and is located near Chandigarh in the state of Punjab. It is the youngest university in India and the only private university in Punjab to be honoured with A+ Grade by NAAC (National Assessment and Accreditation Council). CU offers more than 109 UG and PG programs in the field of engineering, management, pharmacy, law, architecture, journalism, animation, hotel management, commerce, and others. It has been awarded as The University with Best Placements by WCRC.
Website address: https://www.cuchd.in/
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