Global Application-Specific AI Chip Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global Application-Specific AI Chip market size was valued at US$ 15340 million in 2024 and is forecast to a readjusted size of USD 29520 million by 2031 with a CAGR of 9.8% during review period.

Application-Specific AI Chip is hardware devices specifically designed to perform specific types of AI tasks. Unlike general-purpose AI processors, special-purpose AI chips focus on optimizing one or more types of AI algorithms and applications, such as convolutional neural networks for image processing in deep learning, recurrent neural networks for sequential data such as speech and text processing, etc.

This report is a detailed and comprehensive analysis for global Application-Specific AI Chip market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

Key Features:

Global Application-Specific AI Chip market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global Application-Specific AI Chip market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global Application-Specific AI Chip market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global Application-Specific AI Chip market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2020-2025

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Application-Specific AI Chip

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Application-Specific AI Chip market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Graphcore, SambaNova Systems, Microsoft, Intel, Broadcom, Apple, Google, Huawei, Cambricon, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market Segmentation

Application-Specific AI Chip market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type

VPU

TPU

NPU

DPU

Market segment by Application

Autonomous Driving

Security

Medical

Industrial

Others

Major players covered

NVIDIA

Graphcore

SambaNova Systems

Microsoft

Intel

Broadcom

Apple

Google

Huawei

Cambricon

Beijing Horizon

NETINT Technologie（Shanghai）

Beijing Emergetech

Beijing Junzheng Integrated Circuit

Fujian Rockchip Electronics

Shenzhen Meigesmart Technology

Zhuhai Quanzhi Technology

Hunan Guoke Microelectronics

Shenzhen Intellif Technology

Shenzhen Zhiwei Intelligent Technology

Guangzhou Ankai Microelectronics

VeriSilicon (Shanghai)

Suzhou Guoxin Technology

Zhongke Yusur (Beijing)

MediaTek

Achronix Semiconductor

Market segment by region, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)

South America (Brazil, Argentina, Colombia, and Rest of South America)

Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)

The content of the study subjects, includes a total of 15 chapters:

Chapter 1, to describe Application-Specific AI Chip product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top manufacturers of Application-Specific AI Chip, with price, sales quantity, revenue, and global market share of Application-Specific AI Chip from 2020 to 2025.

Chapter 3, the Application-Specific AI Chip competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4, the Application-Specific AI Chip breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.

Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.

Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Application-Specific AI Chip market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.

Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.

Chapter 13, the key raw materials and key suppliers, and industry chain of Application-Specific AI Chip.

Chapter 14 and 15, to describe Application-Specific AI Chip sales channel, distributors, customers, research findings and conclusion.