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Artificial Intelligence (AI) Market worth $2,407.02 billion by 2032- Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., April 28, 2025 /PRNewswire/ — The Artificial Intelligence Market is slated to expand from USD 371.71 billion in 2025 to USD 2,407.02 billion by 2032, at a CAGR of 30.6% during the forecast period, according to a new report by MarketsandMarkets™. 

Browse in-depth TOC on “Artificial Intelligence (AI) Market”

500 – Tables
 60 – Figures
700 – Pages

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Scope of the Report

Report Metrics

Details

Market size available for years

2020–2032

Base year considered

2024

Forecast period

2025–2032

Forecast units

USD (Billion)

Segments covered

Offering, Business Function, Technology, Enterprise Application, End User, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), Meta (US), HPE (US), Siemens (Germany), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), Databricks (US), iMerit (US), Telus International (Canada), Innodata (US), Sama (US), C3 AI (US), HQE Systems (US), Appier (Taiwan), Adept (US), H20.AI (US), Spot AI (US), Anthropic (US), Cohere (Canada), Inbenta (US), Character.ai (US), DeepL (Germany), Inflection AI (US), Arrow AI (US), Observe.ai (US), Anyscale (US), AI21 Labs (Israel), Persado (US), Dialpad (US), Graphcore (UK), Shield AI (US), Gamaya (Switzerland), Arthur AI (US), ADA (Canada), Mostly AI (Austria), Metropolis Technologies (US), Cerebras (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel), Synthesia (UK), Snorkel (US), Labelbox (US), Appen (US), and Cogito Tech (US).

The global artificial intelligence (AI) market has evolved into a multi-layered ecosystem, driving structural transformation across industries, infrastructure, and enterprise workflows. As of 2025, the market is being redefined by three dominant forces: hyperscaler-led AI-as-a-service platforms, enterprise-scale adoption of generative AI, and the rise of vertical-specific AI applications. Hyperscalers like Microsoft, Google, and AWS have operationalized foundation models—such as GPT-4, Claude, Gemini, and LLaMA 2—by embedding them into cloud-native platforms (Azure OpenAI, Vertex AI, Bedrock), allowing global enterprises to fine-tune, deploy, and scale AI with minimal friction. On the demand side, industries such as healthcare, BFSI, manufacturing, and legal are moving beyond pilot stages, using AI to drive high-ROI use cases in diagnostics, risk modeling, process automation, and decision intelligence. Meanwhile, AI infrastructure—including compute, networking, and memory—is the highest-value layer, fueled by skyrocketing demand for GPU clusters, AI-optimized chips, and high-bandwidth interconnects. Beyond models and hardware, a new layer of differentiation is emerging around orchestration, agent-based architectures, and domain-specific AI frameworks. Global spending is increasingly bifurcated between foundational model training and inference-as-a-service, creating dual growth engines within the ecosystem.

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The combination of scalability, software alignment, and vendor neutrality will cement GPUs as the largest offering in 2025

GPUs will dominate the AI compute segment due to their unparalleled ability to process massive parallel workloads critical for both training and inference of large-scale AI models. Unlike CPUs, which are optimized for sequential tasks, GPUs offer thousands of cores designed to handle matrix multiplications and tensor operations—the mathematical backbone of deep learning. NVIDIA’s H100 and A100, for example, are purpose-built for transformer models like GPT-4, offering mixed-precision compute, high-bandwidth memory (HBM), and NVLink interconnects that enable multi-GPU scaling without performance degradation. These architectural advantages drastically reduce model training times and inference latency, making GPUs indispensable for generative AI, computer vision, and real-time analytics. Moreover, the AI software stack is deeply tied to GPU ecosystems—CUDA, cuDNN, TensorRT, and PyTorch all offer GPU-optimized kernels that maximize throughput and developer efficiency. Even cloud providers like AWS, Azure, and Google Cloud structure their premium AI instances around NVIDIA GPUs, offering GPU-as-a-service for enterprise-grade workloads. While alternatives like TPUs and custom ASICs are emerging, they remain limited to specific vendors or use cases. GPUs offer broad compatibility, robust developer ecosystems, and the performance headroom needed to support increasingly complex models.

Falling inference costs and rising ROI will push generative AI as the fastest-growing technology during the forecast period

Generative AI is set to be the fastest-growing technology within the AI Market due to its exponential impact on productivity, content creation, and enterprise automation. Unlike traditional AI, which is often confined to classification or prediction tasks, generative AI produces net-new outputs—text, images, code, audio, video—unlocking a vast range of creative and operational applications. Its adoption is accelerating across high-value use cases: marketing teams use tools like Jasper and Adobe Firefly for instant content generation; legal departments leverage AI to draft contracts and summarize case law; developers rely on GitHub Copilot to auto-generate code, drastically reducing development cycles. Enterprises are embedding generative AI into workflows via copilots and domain-specific agents, transforming how professionals interact with software—moving from tool-based to assistant-driven interfaces. The underlying foundation models (e.g., GPT-4, Claude, Gemini) are now accessible via API, enabling businesses to build tailored generative applications without full-stack AI teams. Meanwhile, falling inference costs and multi-modal capabilities are pushing adoption further into creative, healthcare, and financial domains. The speed at which generative AI shifts from experimentation to production is unprecedented, fueled by massive VC funding, pre-trained model availability, and ecosystem tooling.

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Asia Pacific is set to become the fastest-growing region, fueled by rising uptake of localized LLMs and increasing demand for cost-effective AI platforms

Asia Pacific is set to be the fastest-growing region in the global AI Market due to its unique blend of digital scale, government-led AI initiatives, and rapid enterprise adoption across diverse economies. Countries like China, India, South Korea, Singapore, and Japan are aggressively investing in national AI strategies, with billions allocated toward AI R&D, smart infrastructure, and digital skilling programs. China leads in model development and deployment, driven by players like Baidu, Alibaba, Tencent, and SenseTime, with heavy focus on autonomous vehicles, surveillance, and generative AI platforms like ERNIE Bot. India, meanwhile, is emerging as a hub for AI engineering and fine-tuning, powered by its IT services giants and a booming startup ecosystem working on vernacular models, healthcare AI, and fintech automation. Southeast Asia is witnessing rapid adoption of AI in smart cities, logistics, and public services—fueled by digital-first policies and mobile-native populations. Furthermore, the region’s massive data generation from social platforms, e-commerce, and IoT is creating a goldmine for model training and deployment. As Western markets saturate, APAC offers untapped potential in both consumer-scale and enterprise-grade AI adoption. With a combination of regulatory momentum, localization opportunities, and infrastructure modernization, Asia Pacific is no longer just catching up—it’s defining the next phase of global AI growth.

Top Key Companies in Artificial Intelligence (AI) Market:

The major players in the AI Market include Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), Meta (US), HPE (US), Siemens (Germany), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), Databricks (US), iMerit (US), Telus International (Canada), Innodata (US), Sama (US), C3 AI (US), HQE Systems (US), Appier (Taiwan), Adept (US), H20.AI (US), Spot AI (US), Anthropic (US), Cohere (Canada), Inbenta (US), Character.ai (US), DeepL (Germany), Inflection AI (US), Arrow AI (US), Observe.ai (US), Anyscale (US), AI21 Labs (Israel), Persado (US), Dialpad (US), Graphcore (UK), Shield AI (US), Gamaya (Switzerland), Arthur AI (US), ADA (Canada), Mostly AI (Austria), Metropolis Technologies (US), Cerebras (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel), Synthesia (UK), Snorkel (US), Labelbox (US), Appen (US), and Cogito Tech (US).

Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting

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HUYA Inc. to Report Second Quarter 2026 Financial Results on Tuesday, August 11, 2026

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-Earnings Webinar Scheduled for 6:00 a.m. ET on August 11, 2026-

GUANGZHOU, China, July 21, 2026 /PRNewswire/ — HUYA Inc. (“Huya” or the “Company”) (NYSE: HUYA), a leading game-related entertainment and services provider, today announced that it will report its second quarter 2026 unaudited financial results on Tuesday, August 11, 2026, before the open of U.S. markets.

The Company’s management will host a Tencent Meeting Webinar at 6:00 a.m. U.S. Eastern Time on August 11, 2026 (6:00 p.m. Beijing/Hong Kong time on August 11, 2026), to review and discuss the Company’s business and financial performance.

For participants who wish to join the webinar, please complete the online registration in advance using the links provided below. Upon registration, participants will receive an email with webinar access information, including meeting ID, meeting link, dial-in numbers, and a unique attendee ID to join the webinar.

Participant Online Registration

A live webcast of the webinar will be accessible at https://ir.huya.com, and a replay of the webcast will be available following the session.

[1] For the purpose of this announcement only, Chinese Mainland excludes the Hong Kong Special Administrative Region, the Macao Special Administrative Region of the People’s Republic of China, and Taiwan.

About HUYA Inc.

HUYA Inc. is a leading game-related entertainment and services provider. Huya delivers dynamic live streaming and video content and a rich array of services spanning games, e-sports, and other interactive entertainment genres to a large, highly engaged community of game enthusiasts. Huya has cultivated a robust entertainment ecosystem powered by AI and other advanced technologies, serving users and partners across the gaming universe, including game companies, e-sports tournament organizers, broadcasters and talent agencies. Leveraging this strong foundation, Huya has also expanded into innovative game-related services, such as game distribution, in-game item sales, advertising and more. Huya continues to extend its footprint in China and abroad, meeting the evolving needs of gamers, content creators, and industry partners worldwide.

For more information, please visit: https://ir.huya.com.

For investor and media inquiries, please contact:

In China:

HUYA Inc.
Investor Relations
Tel: +86-20-2290-7829
E-mail: ir@huya.com

Piacente Financial Communications
Jenny Cai
Tel: +86-10-6508-0677
E-mail: huya@tpg-ir.com

In the United States:

Piacente Financial Communications
Brandi Piacente
Tel: +1-212-481-2050
E-mail: huya@tpg-ir.com

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SOURCE HUYA Inc.

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Hyperscale Data Bitcoin Treasury Reaches 1,087 Bitcoin Worth Approximately $70.3 Million

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LAS VEGAS, July 21, 2026 /PRNewswire/ — Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence (“AI”) data center company anchored by Bitcoin (“Hyperscale Data” or the “Company”), today announced that, as of July 19, 2026, it held 1,087.4527 Bitcoin representing an aggregate value of approximately $70.3 million based on the Bitcoin closing price of $64,691 on July 19, 2026.

In aggregate, the Company’s wholly owned subsidiaries, Sentinum, Inc. (“Sentinum”) and Ault Capital Group, Inc. (“ACG”), held 1,087.4527 Bitcoin as of July 19, 2026. During the week ended July 19, 2026, ACG purchased approximately 51.5000 Bitcoin in the open market. Based on the Bitcoin closing price of $64,691 on July 19, 2026, these collective holdings had an approximate market value of $70.3 million.

“We now hold more than $70 million in Bitcoin,” stated Milton “Todd” Ault III, Executive Chairman of Hyperscale Data. “The market remains completely disconnected from what we are building through our Michigan data center, our Bitcoin treasury, and our broader portfolio of operating businesses. Separate from the more than 1,087 Bitcoin we currently hold on our balance sheet, the market places zero value on the cash or the value of the other assets on our balance sheet. We will continue executing, growing our assets and highlighting the widening gap between the Company’s market capitalization and its underlying value.”

For more information on Hyperscale Data and its subsidiaries, Hyperscale Data recommends that stockholders, investors and any other interested parties read Hyperscale Data’s public filings and press releases available under the Investor Relations section at hyperscaledata.com or available at www.sec.gov.

About Hyperscale Data, Inc.

Through its wholly owned subsidiary Sentinum, Hyperscale Data owns and operates a data center at which it mines digital assets and offers colocation and hosting services for the emerging AI ecosystems and other industries. Hyperscale Data’s other wholly owned subsidiary, ACG, is a hybrid private equity firm and operating company that acquires, finances, builds and actively manages businesses across financial services, digital assets, industrial services, hospitality, defense technologies and other sectors.

Hyperscale Data currently expects the divestiture of ACG (the “Divestiture”) to occur in the second quarter of 2027. Upon the occurrence of the Divestiture, the Company would be an owner and operator of data centers to support high-performance computing services, as well as a holder of the digital assets. Until the Divestiture occurs, the Company will continue to provide, through ACG and its wholly and majority-owned subsidiaries and strategic investments, mission-critical products that support a diverse range of industries, including an AI software platform, equipment rental services, defense/aerospace, industrial, automotive and hotel operations. In addition, ACG is actively engaged in private credit and structured finance through Ault Lending, LLC, a licensed lending subsidiary. Hyperscale Data’s headquarters are located at 11411 Southern Highlands Parkway, Suite 190, Las Vegas, NV 89141.

On December 23, 2024, the Company issued one million (1,000,000) shares of a newly designated Series F Exchangeable Preferred Stock (the “Series F Preferred Stock”) to all common stockholders and holders of the Series C Preferred Stock on an as-converted basis. The Divestiture will occur through the voluntary exchange of the Series F Preferred Stock for shares of Class A Common Stock and Class B Common Stock of ACG (collectively, the “ACG Shares”). The Company reminds its stockholders that only those holders of the Series F Preferred Stock who agree to surrender such shares, and do not properly withdraw such surrender, in the exchange offer through which the Divestiture will occur, will be entitled to receive the ACG Shares and consequently be shareholders of ACG upon the occurrence of the Divestiture.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements generally include statements that are predictive in nature and depend upon or refer to future events or conditions, and include words such as “believes,” “plans,” “anticipates,” “projects,” “estimates,” “expects,” “intends,” “strategy,” “future,” “opportunity,” “may,” “will,” “should,” “could,” “potential,” or similar expressions. Statements that are not historical facts are forward-looking statements. Forward-looking statements are based on current beliefs and assumptions that are subject to risks and uncertainties.

Forward looking statements speak only as of the date they are made, and the Company undertakes no obligation to update any of them publicly in light of new information or future events. Actual results could differ materially from those contained in any forward-looking statement as a result of various factors. More information, including potential risk factors, that could affect the Company’s business and financial results are included in the Company’s filings with the U.S. Securities and Exchange Commission, including, but not limited to, the Company’s Forms 10-K, 10-Q and 8-K. All filings are available at www.sec.gov and on the Company’s website at hyperscaledata.com.

 

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SOURCE Hyperscale Data Inc.

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ZELLERFELD GIVES FOOTWEAR ITS SPOTIFY MOMENT

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Music had Spotify. Video had YouTube. Zellerfeld has launched footwear’s biggest update, and the digitalization of footwear never felt so good.

AUSTIN, Texas, July 21, 2026
/PRNewswire/ — After years of bringing global brands and thousands of creators into its printed footwear revolution, Zellerfeld is rolling out its biggest platform update yet. The new Zellerfeld brings the marketplace, the product and the process into one beautifully connected experience, making printed footwear feel like it has finally caught up to the rest of the digital world. Browsing, discovering and experiencing printed shoes has never felt this good.

That experience is powered by personalized discovery, smarter search and live rankings for creators and products, rising with real demand instead of fading after a single launch moment. For the first time, footwear becomes digitally searchable, rankable and alive.

ZellerFIT is becoming the platform’s beating heart. The system lets users create a Fit Profile from a foot scan and personalisation choices. Once created, that Fit Profile can be carried across Zellerfeld products, creators and future shoes. Fit stops being a size guessed at checkout. It becomes personal, saved and portable, something that belongs to the user and moves with every shoe they print.

Powering the platform is Zellerfeld’s full-stack 3D-printed footwear infrastructure. Across Austin, Texas, and Hamburg, Germany, Zellerfeld now operates the largest and most advanced footwear creation facilities in the world, with thousands of printing units turning digital designs into physical shoes without moulds, stitching or assembly. At the push of a button, digital design, personal fit and physical production connect in one system.

“We always said we wanted to digitize footwear in the same way music and video were digitized, and the last years were spent building the fulfillment infrastructure to make that possible,” said Cornelius Schmitt, CEO and Co-Founder of Zellerfeld. “We never had time to give our users or creators the platform they deserved. Now we finally have. The new Zellerfeld looks so beautiful I can’t stop looking at it. I can’t wait to see what product category we digitize after footwear. Handbags? Glasses? I’m sure we’ll take one step at a time.”

The new platform also teases Zellerfeld subscription access. Major brands have tried to make footwear membership work, but most could only add perks on top of the same old retail model with limited designs. Zellerfeld makes footwear subscription work at scale: one platform, four pairs a year, a growing universe of designs, the same personal fit across every product and shoes printed on demand.

“Why would you go into a shoe store with 100 designs that all look the same and don’t really fit,” said Cornelius Schmitt, CEO and Co-Founder of Zellerfeld, “when you could come to Zellerfeld for millions of beautiful designs from creators around the world, all made to fit you?”

For the best part of a decade, Zellerfeld has been building the technology behind printed footwear, proving the category through breakthrough products and collaborators across sport, fashion, design and culture. Its work has shown that shoes can be digitally designed, personally fitted and produced on demand at the push of a button, without the constraints of conventional footwear manufacturing.

The products proved the future was possible. The platform makes it real. Zellerfeld is changing how footwear is created, sold and distributed, bringing the category into its next generation. Music had Spotify. Video had YouTube. Now footwear has Zellerfeld.

Explore and experience the next-generation at zellerfeld.com

About Zellerfeld
Zellerfeld is a technology company on a mission to digitize physical products, starting with footwear. Its full-stack platform connects digital product creation, custom fit and distributed 3D-printed production, turning shoes from digital files into physical products without moulds, stitching, glue or traditional assembly. Zellerfeld has proven the model across sport, fashion, design and culture: products designed digitally, fitted personally and made on demand. The company operates the world’s most advanced 3D-printing production facilities across Austin, Texas, and Hamburg, Germany.

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SOURCE Zellerfeld

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