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Artificial Intelligence (AI) Chips Market size is set to grow by USD 389.25 billion from 2024-2028, Increasing adoption of AI chips in data centers to boost the market growth, Technavio

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NEW YORK, July 9, 2024 /PRNewswire/ — The global artificial intelligence (AI) chips market is estimated to grow by USD 389.25 billion from 2024-2028, at a CAGR of over 68.13%, according to Technavio. Increasing adoption of AI chips in data centers and the convergence of AI and IoT are driving market growth. However, a dearth of technically skilled workers poses a challenge. Key players include Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., and NVIDIA Corp., the leader in the AI chip market.

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Product (ASICs, GPUs, CPUs, and FPGAs), End-user (Media and advertising, BFSI, IT and telecommunication, and Others), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc.

Key Market Trends Fueling Growth

The Internet of Things (IoT) market is experiencing significant growth due to the numerous advantages it offers in various industries, including aerospace and defense, automotive, consumer electronics, healthcare, and others. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and more, are increasingly integrating Human-Machine Interface (HMI) technologies. This integration leads to the deployment of Artificial Intelligence (AI) chips in IoT devices, enabling power-efficient data processing and machine learning computation. The demand for IoT devices is escalating due to the focus on smart city projects and automation in homes and enterprises. Market players are collaborating to develop software and hardware solutions to integrate AI technology in IoT devices, driving the growth of the AI chips market in the forecast period. 

Artificial Intelligence (AI) chips are making waves in various industries by powering innovative applications in personalized health and treatment devices for the elderly population. Machine Learning (ML) and Deep Learning (DL) are driving this trend, with computer vision technologies like pose detection and behavioral pattern recognition becoming increasingly important. Structured data from IoT devices, Industry 4.0 manufacturing, wearable devices, smart homes, and connected cars are fueling this growth. AI chips are being integrated into processors, GPUs, FPGAs, CPUs, ASICs, DSPs, microcontrollers, and programmable logic chips to handle the demands of AI applications. These chips enable high-quality images, animations, and videos in mobile phones, embedded systems, personal computers, gaming consoles, and more. The theoretical and algorithmic basis of AI is being transformed by automatic analysis, extraction, and estimation of single images and sequences of images. 

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Market Challenges

The AI chips market is witnessing significant growth due to the potential revenue benefits that companies can derive from investing in artificial intelligence. However, the implementation of AI comes with challenges, particularly the shortage of skilled workers with expertise in AI technology. This talent gap poses a major obstacle for enterprises seeking to integrate AI into their operations. The high R&D costs associated with AI and the lack of available talent are hindering the growth of the market. To overcome this hurdle, organizations must prioritize talent acquisition and retention, recruiting professionals with strong technical backgrounds and investing in skill development programs. The shortage of AI engineers and technicians is hindering the deployment of AI in enterprises, thereby limiting market growth during the forecast period.The Artificial Intelligence (AI) Chips Market is experiencing significant growth due to the increasing demand for energy-efficient solutions for AI applications in various industries such as healthcare, retail, finance, automotive, and IoT devices. Companies like Nvidia and Huawei are leading the market with their AI chip lines, including the Nvidia A100 chip and Huawei Ascend 910B chipset. However, challenges such as energy efficiency, latency, and ethical concerns remain. Centralized cloud servers from Microsoft Azure, Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure offer high computing power but face challenges with real-time applications and big data processing. Edge computing and Edge devices are gaining popularity for their ability to process data locally, reducing latency and improving performance. Patent filing and system failure are also concerns for companies investing in AI chips. Specific integrated circuits like CPU, FPGA, GPU, and system on chip, multichip module, and high computing parallel computing are essential for AI data centers, cognitive computing, machine intelligence, image recognition, and other AI applications. Ethical concerns around AI use in mobile applications, health monitoring, and health information access are becoming increasingly important. The market for AI chips is expected to continue growing, with continued innovation and investment in this area.

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Segment Overview 

This artificial intelligence (AI) chips market report extensively covers market segmentation by

Product 1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user 2.1 Media and advertising2.2 BFSI2.3 IT and Telecommunication2.4 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 ASICs-  Artificial Intelligence (AI) chips, specifically Application-Specific Integrated Circuits (ASICs), are driving innovation in the tech industry. ASICs are customized, non-configurable chips that offer faster performance than GPUs and FPGAs for parallel algorithms. Their use in cloud-based data centers is increasing, as ASIC-based AI chips, like Google’s Tensor Processing Unit (TPU), provide superior speed and efficiency. TPUs, a network of software and hardware, are designed for deep neural networks and can learn specific tasks with large data sets. Data centers are integrating these ASICs into servers to manage data effectively. TPUs have an instruction set that allows TensorFlow programs to be modified, enabling new algorithms to be developed. As an open-source machine learning library, TensorFlow’s data flow graph structure simplifies complex computations, making ASICs a preferred choice for AI applications. The market for ASIC-based AI chips is expected to grow significantly due to their performance advantages.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022)  – Download a Sample Report

Research Analysis

Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing adoption of AI technologies in various industries. Deep learning and machine learning algorithms require specialized hardware components, leading to the development of AI chips. These chips are designed to accelerate AI workloads and improve the performance of AI applications. AI chips include specific integrated circuits like CPUs, GPUs, FPGAs, and system on chips. Quantum computing is also emerging as a potential technology to enhance AI capabilities. The market for AI chips is expanding across sectors such as healthcare, retail, finance, automotive, autonomous vehicles, IoT devices, and more. However, ethical concerns surrounding AI and its impact on jobs are raising questions about the future of this technology. High bandwidth memory and Trainium2 chip are some of the advanced hardware components driving the market. The market is segmented into cloud and edge computing, with the edge computing segment expected to grow due to the increasing demand for real-time AI processing.

Market Research Overview

Artificial Intelligence (AI) Chips Market: An Overview The AI Chips Market is witnessing significant growth due to the increasing demand for advanced AI technologies, such as deep learning and machine learning, in various industries. AI chips are specialized hardware components designed to accelerate AI algorithms and technologies, including neural networks, quantum computing, and cognitive computing. These chips are essential for powering AI applications in robotics, computer vision, natural language processing, and generative AI. The market for AI chips includes a range of hardware components, such as CPUs, GPUs, FPGAs, and system on chips, each with unique advantages in terms of energy efficiency, parallel computing, and high computing power. Major applications of AI chips include data processing in centralized cloud servers and edge devices, real-time applications, big data analysis, and AI applications in healthcare, retail, finance, automotive, and IoT devices. Ethical concerns surrounding AI technologies and potential system failures or malfunctioning are also driving the development of more energy-efficient and reliable AI chips. Some of the emerging trends in the AI Chips Market include the development of AI chip lines, such as Nvidia’s A100 chip and Ascend 910B chipset, and H200 chipset, as well as the integration of high bandwidth memory and quantum computing technologies. The market is also witnessing the growth of edge computing and the increasing use of AI in industries such as manufacturing, wearable devices, smart homes, and connected cars. In conclusion, the AI Chips Market is a dynamic and rapidly evolving field, driven by the increasing demand for AI technologies in various industries and the need for more energy-efficient and reliable hardware components. The market is expected to continue growing in the coming years, with new innovations and applications emerging in areas such as healthcare, finance, and autonomous vehicles.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Clock Ticking on San Jose Worker Contracts as City Council Eyes July Recess

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SAN JOSE, Calif., June 18, 2026 /PRNewswire/ — Several months of tense negotiations between the San Jose City Administration and thousands of dedicated City of San Jose workers have now resulted in two of the City’s largest worker contracts set to expire – just as the San Jose City Council leaves for their July recess. On Thursday, June 18, after receiving the City’s Last, Best, and Final Offer (LBFO) and working to reach a deal before contract expiration, San Jose workers represented by IFPTE Local 21 and MEF-AFSCME Local 101 have called for mediation in order to reach a fair agreement.

Last Wednesday, June 10, workers rallied at San Jose Mineta International Airport (SJC) to call on the San Jose City Administration to secure a contract that will allow the City of San Jose to retain and recruit excellent public workers. While negotiations continued after the rally, the City’s LBFO remains one that does not invest in city services and one that will not retain the city’s skilled workforce.

Members of both unions are concerned that the upcoming budget has proposed staffing cuts to several departments, including the Library, Public Works, and the Housing Department. Instead of investing in our community, city officials have elected to spend taxpayer money on corporate giveaways through massive contracts with ineffective AI companies and an outrageous $351 million subsidy towards hockey arena renovations. The City could develop a strategy that ensures corporations pay their fair share from benefitting directly from city services. Instead, San Jose insists on cutting taxes for some of the largest corporations that occupy the city, while residents and working families pay more.

“We are the workers who keep San Jose running every day. We’ve shown up at the bargaining table ready to negotiate a fair contract every week. It’s time for the City to turn things around in order to retain workers. San Jose workers and the residents we serve deserve better,” said Carlos Murillo, an Associate Engineer at SJC, and IFPTE Local 21 Bargaining Team Member. “It’s time to invest in our city services. It’s time to put San Jose first.”

“San Jose remains already one of the most thinly staffed major cities in California. The City has a real opportunity. With San Jose being a World Cup host city, we have seen our community come together. San Jose has the potential to highlight the amazing public services our city has to offer and the hard-working people who make those services happen,” said MEF Local 101 Chief Steward Heidi Mendiola, a Police Data Specialist.

San Jose workers haven’t gone on strike in two decades. Three years ago, San Jose workers organized a city-wide strike vote that shed light on the city’s dangerous understaffing and retention issues. Workers are disheartened to know that instead of working on revenue, this administration has instead continued to remain one of the few cities to cap its business license tax on large businesses, with its largest only paying $185,532 in taxes. This includes massive Fortune 500 companies, such as Cisco Systems, which reported $56 billion in revenue and $10 billion in profits for Fiscal Year 2025; PayPal Holdings, which reported $33 billion in revenue and $5.2 billion in profits; and Adobe Inc., which reported $23 billion in revenue and $7.1 billion in profits.

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SOURCE IFPTE Local 21

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Trupeer AI Appoints Former UiPath APAC President & CEO Raghu Subramanian to Lead Japan Enterprise Expansion

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TOKYO, June 19, 2026 /PRNewswire/ — Trupeer AI, the workflow knowledge layer for teams and AI agents, today announced the appointment of Raghu Subramanian as President and Chief Business Officer, as the company accelerates its next phase of global enterprise expansion. Backed by RTP Global and Salesforce Ventures and trusted by more than 50,000 teams in over 100 countries and 120 languages, Trupeer is strengthening its leadership team to scale adoption across enterprises, SaaS companies, Global Capability Centers (GCCs), and technology-enabled business services companies.

Japan is a strategic growth market for Trupeer, where enterprises face a growing knowledge-retention challenge as experienced employees retire and institutional expertise leaves with them. Trupeer addresses this by capturing workflows and institutional knowledge and turning them into AI-ready contexts accessible in more than 120 languages, including Japanese and English. By eliminating the bilingual bottleneck, the platform lets Japanese enterprises scale their own expertise to global teams, while giving multinational organizations instant access to existing knowledge for their Japan-based teams. Several of the world’s largest software companies use Trupeer to create Japanese-language content as they deepen their presence in the country, and  major Japanese pharmaceutical companies use Trupeer to enable learning and development at scale, capturing veteran expertise and standardizing how critical processes are taught across the organization.

Raghu joins from a distinguished career at the forefront of enterprise automation. As a founding member of the management team at UiPath, he was part of the core executive team that helped build the company into a $35+ billion NYSE-listed enterprise. He established UiPath’s APAC operations in 2016 and later served as President & CEO for India and APAC, making Japan one of their largest markets. Bringing over 25 years of enterprise technology leadership, Raghu has built and scaled enterprise businesses across global markets, with deep expertise in automation, business process management, and enterprise AI adoption. Prior to joining UiPath, he served as CTO of EXL Service.

At Trupeer, he will lead the company’s next phase of commercial expansion, with a sharp focus on Japanese enterprises, the GCCs operating in Japan, and the global parents of Japan-based delivery networks.

Shivali Goyal, CEO and Co-Founder, Trupeer AI, said, “Raghu has spent decades helping organisations adopt and scale transformative technologies and brings deep experience in building enterprises globally. Having seen first-hand the challenges enterprises face in organisational knowledge and agentic AI enablement, Raghu immediately resonated with our vision and the momentum Trupeer has built globally. His expertise will help us strengthen our commercial capabilities, deepen partnerships, and unlock the next phase of growth at Trupeer.”

Raghu Subramanian, President and Chief Business Officer, Trupeer AI, said, “Enterprises have long struggled to get real value from AI, and the reason is fragmented context. As businesses operate across languages, geographies, and distributed teams, critical knowledge often becomes difficult to access, share, and act on consistently. The knowledge that makes AI useful remains trapped in people’s heads and scattered across tools. In the agentic AI era, where agents are only as good as the context they run on, that gap becomes the difference between AI that works and AI that doesn’t. This is the gap Trupeer was built to close. I look forward to partnering with enterprises and organisations across the globe to build the context layer that makes enterprise knowledge structured, accessible, and actionable, and AI genuinely useful.”

About Trupeer

Trupeer AI is the workflow knowledge layer for enterprises that enables teams and AI agents. The company helps organizations capture critical operational knowledge that is often trapped in the minds of subject matter experts and scattered across tools, transforming it into structured, accessible, and queryable knowledge. Its platform captures enterprise workflows and turns unstructured, multimodal input into SOPs, guides, studio-quality videos, training assets into 120+ languages and continuously updated, AI-ready context that intelligent agents can leverage, making institutional knowledge accessible, actionable, and queryable. Backed by RTP Global and Salesforce Ventures, Trupeer supports more than 50,000 teams in over 100 countries, including Fortune 100 enterprises, Global Capability Centers and technology-enabled business services companies.

Further details: https://www.trupeer.ai/ 

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Fulfilling PM Modi’s Dream of Atmanirbhar Bharat: India’s AI Writing Startup Kreativespace Incubated at IIT Kharagpur

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Kreativespace, an Indian AI-powered writing platform founded by Vinet Kakadea, has been incubated at IIT Kharagpur and recognized by SVNIT University, Ministry of Education under Bodhan AI Conclave also through the NVIDIA Inception Program, AWS Startup Program, and DPIIT under Startup India.The platform unifies 8 AI-powered writing tools, along with AI Humanizer and Message AI feature being the latest addition into a single ecosystem, so you can generate and refine content all in one place.The company reports more than 50,000+ signed-up users, 75,000+ anonymous users, and roughly 100,000 monthly website visitors, positioning itself as the only Indian company operating at scale in the global AI writing market.

SURAT, India, June 19, 2026 /PRNewswire/ — Kreativespace, an AI-powered writing platform, is building out its position as the only homegrown alternative in a market long dominated by international tools such as Grammarly and QuillBot. Founded by Vinet Kakadea and incubated at IIT Kharagpur, the company has aligned its growth with the broader push behind Prime Minister Narendra Modi’s Atmanirbhar Bharat (Self-Reliant India) initiative, which encourages indigenous technology development capable of competing on a global scale.

As AI adoption accelerates across India’s education, research, and enterprise sectors, Kreativespace is among a small group of Indian startups building writing technology designed to compete directly with established international platforms.

Kreativespace’s progress has been recognized by several institutions central to India’s startup and technology ecosystem. The company has been incubated at IIT Kharagpur, selected under SSIP 2.0 through SVNIT University, and chosen by the Ministry of Education to present its work at the Bodhan AI Conclave. It has also been accepted into the NVIDIA Inception Program and the AWS Startup Program, and holds DPIIT recognition under the Startup India initiative.

Where many writing-tool users rely on separate subscriptions for content generation to refinement for grammar correction, paraphrasing, plagiarism checking, citation generation, and editing, Kreativespace brings these functions into a single platform as a super-app for AI writing tools. The company says its approach centers on affordability and accessibility alongside performance, aiming to make advanced AI writing assistance available to a wider range of users regardless of geography or budget.

The idea for Kreativespace took shape while founder Vinet Kakadea was studying at New York University and Marymount University in the United States, where he experienced firsthand how students, researchers, and professionals often need multiple paid subscriptions to cover writing-related tasks. That fragmented experience led him to build a super-app offering each of these capabilities together, at a more accessible price point.

Kreativespace combines 8 AI-powered writing tools with AI Humanizer and Message AI feature being the latest addition, allowing users to generate, rewrite, refine, and humanize content without moving between separate platforms. The product is available via web platform, mobile apps on the App Store and Google Play, browser extensions for Chrome, Mozilla, and Edge, and a Google Docs add-on.

Vinet Kakadea, Founder of Kreativespace, said, “Kreativespace’s vision is to digitalize the entire Indian education ecosystem to support PM Modi’s Atmanirbhar Bharat scheme.”

About Kreativespace

Kreativespace with the Motto of Making Writing Accessible for Everyone: Kreativespace is an AI-powered writing platform built to make AI writing tools accessible, affordable, and effective for students, researchers, educators, professionals, content creators, startups, and enterprises. Founded by Vinet Kakadea, the company is incubated at IIT Kharagpur and has been recognized by AWS Startup Program, the NVIDIA Inception Program, and DPIIT under Startup India. For more information, visit kreativespace.com.

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