Artificial Intelligence Chip Market Trends 2023–2028: Outlook, Value & Key Companies
- Amit Kumar
- Jul 24
- 5 min read

Market Size, Growth & Valuation (2023-30)
Artificial Intelligence Chip Market size was valued at USD 15.23 billion in 2022 & is estimated to grow at a CAGR of around 37.89% during the forecast period, i.e., 2023-28.
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Artificial Intelligence Chip Market Structure – Segmentation & Geography
By Chip Type
Graphical Processing Unit (GPU) - Market Size & Forecast 2018-2028F, USD Million
Central Processing Unit (CPU) - Market Size & Forecast 2018-2028F, USD Million
Application-Specific Integrated Circuit (ASIC) - Market Size & Forecast 2018-2028F, USD Million
Field-Programmable Gate Array (FPGA) - Market Size & Forecast 2018-2028F, USD Million
Others (NPUs, TPU) - Market Size & Forecast 2018-2028F, USD Million
By Processing Type
Edge - Market Size & Forecast 2018-2028F, USD Million
Cloud - Market Size & Forecast 2018-2028F, USD Million
By Technology
System-On-Chip (SOC) - Market Size & Forecast 2018-2028F, USD Million
System-In-Package (SIP) - Market Size & Forecast 2018-2028F, USD Million
Multi-Chip Module- Market Size & Forecast 2018-2028F, USD Million
Others (TSV, HBM, etc.)- Market Size & Forecast 2018-2028F, USD Million
By Application
Natural Language Processing (NLP)- Market Size & Forecast 2018-2028F, USD Million
Robotic Process Automation- Market Size & Forecast 2018-2028F, USD Million
Computer Vision- Market Size & Forecast 2018-2028F, USD Million
Network Security- Market Size & Forecast 2018-2028F, USD Million
Others (Autonomous Systems, Recommendation Systems, etc.)- Market Size & Forecast 2018-2028F, USD Million
all the application that has garnered a substantial demand is Natural Language Processing (NLP) as it serves as the backbone for a multitude of transformative technologies and services across various industries.
By End User
BFSI - Market Size & Forecast 2018-2028F, USD Million
IT & Telecom- Market Size & Forecast 2018-2028F, USD Million
Retail- Market Size & Forecast 2018-2028F, USD Million
Healthcare- Market Size & Forecast 2018-2028F, USD Million
Manufacturing- Market Size & Forecast 2018-2028F, USD Million
Automotive- Market Size & Forecast 2018-2028F, USD Million
Energy and Utilities - Market Size & Forecast 2018-2028F, USD Million
Others (Media & Entertainment, Logistics, etc.)- Market Size & Forecast 2018-2028F, USD Million
the IT & Telecom sector has registered noteworthy demand for AI chips, as the sector relies on AI chips for data processing, network optimization, cybersecurity, edge computing, and customer service automation.
By Region
North America
South America
Europe
The Middle East & Africa
Asia-Pacific.
Among them, Asia Pacific region is anticipated to witness an exponential growth rate in the Global Artificial Intelligence Chip Market driven by the surging expansion of end-user industries in the region.
Key Growth Trends (2023-2028)
Specialized AI Chips for Deep Learning Inference is a growing Trend in the AI Chips Market – In the Global Artificial Intelligence Chip Market, chip manufacturers are showcasing a notable trend of developing specialized AI chips tailored to specific applications. These custom-designed chips find utility in various industries, spanning automotive, healthcare, and retail. A crucial facet of this trend involves the introduction of AI chips dedicated to deep learning inference, driven by the escalating demand for highly efficient and specialized hardware capable of managing the computational demands of deep neural networks (DNNs). For instance,
In 2023, IBM made a significant stride by unveiling a cutting-edge mixed-signal analog AI chip engineered to address diverse DNN inference tasks. Fabricated at IBM's Albany NanoTech Complex, this chip incorporates 64 analog in-memory compute cores, each equipped with a 256-by-256 crossbar array of synaptic unit cells.
Deep learning, within the domain of machine learning, constitutes the foundation for numerous AI applications, which empowers intricate functions like natural language processing, computer vision, and voice recognition. This trend signifies a substantial evolution in AI chip technology, marked by the meticulous optimization of chip architecture to accommodate the specialized operations of deep neural networks (DNNs).
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Research Methodology
MarkNtel Advisors employs a thorough and iterative research methodology to enhance accuracy in market estimates. Our process combines bottom-up and top-down approaches, focusing on data triangulation for validation. It includes defining research objectives, selecting representative samples, and collecting data through surveys and interviews. Post-collection, we analyze and validate the data using statistical tools, ensuring reliability. Finally, we forecast market trends through predictive modeling, compiling our insights into detailed reports with charts and strategic recommendations for informed decision-making.
Competitive Analysis Framework
The Artificial Intelligence Chip industry is moderately fragmented, with key players focusing on technological advancements and strategic partnerships. A detailed competitive analysis helps businesses benchmark against industry leaders and identify growth opportunities.
Leading Artificial Intelligence Chip Companies are:
NVIDIA Corporation
Intel Corporation
Advanced Micro Devices, Inc.
Micron Technology
QualcommTechnologies , Inc.
IBM Corporation
Google LLC
Microsoft Corporation
Amazon Web Services, Inc.
General Vision Inc.
Huawei Technologies Co., Ltd.
Graphcore
Baidu, Inc
Samsung
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Key Questions Answered in This Report:
What is the current market size of Artificial Intelligence Chip, and what growth rate is projected by 2028?
Which key trends are driving Artificial Intelligence Chip market expansion in the next five years?
How does market segmentation impact industry dynamics?
Which geographic regions offer the highest growth potential?
What are the primary challenges hindering Artificial Intelligence Chip industry growth?
How do regulatory policies influence market development?
What are the latest technological advancements impacting the sector?
Who are the leading Artificial Intelligence Chip companies, and what are their market shares?
What strategies are top competitors adopting to maintain dominance?
What are the emerging niche segments with high growth potential?
How do macroeconomic factors affect market performance?
What are the investment opportunities for new entrants?
How does pricing strategy vary across different market segments?
What are the future innovation trends expected in this industry?
Other Report:
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