Artificial Intelligence Chipset Market to Grow with a CAGR of 28.76% Globally through to 2028
Artificial Intelligence Chipset market is increasing
due to growing demand for AI hardware to power advanced AI applications in the
forecast period, 2024-2028.
According to
TechSci Research report, “Global Artificial Intelligence Chipset Market -
Industry Size, Share, Trends, Competition Forecast & Opportunities,
2028 The Global Artificial Intelligence Chipset market has witnessed
tremendous growth in recent years, reaching a valuation of USD 18.45 billion in
2022. The market is projected to continue its strong upward trajectory, posting
a CAGR of 28.76% from 2024 to 2028.The global artificial intelligence chipset
market is experiencing robust growth driven by increasing adoption among
businesses worldwide. Companies are recognizing the transformational potential
of AI chipsets in enabling new capabilities across key business functions. AI
chipsets can help automate processes, drive insights from data analytics,
enhance cybersecurity and improve customer experiences.
Enterprises are
strategically investing in AI chipset-powered solutions to develop innovative
use cases and improve operational efficiency. Breakthroughs in AI chipset
technologies such as GPUs, FPGAs and ASICs have made AI applications more
powerful, scalable and cost-effective for businesses. Organizations are quickly
adopting next-gen AI chipsets to gain competitive advantage through advanced
analytics tools and productivity enhancements.Adoption is also fueled by
evolving corporate strategies focused on leveraging AI for strategic benefits.
Businesses now understand the value of AI chipsets for applications like
predictive maintenance, demand forecasting, fraud detection, personalized
marketing and talent analytics. This shift is fueling rising demand from
enterprises looking to integrate AI throughout their operations.
Continued
technological advances are also driving market growth. Innovations in AI
chipset architectures, memory bandwidths, interconnects and programming
frameworks have enhanced the capabilities of AI platforms. Companies are able
to develop more robust, data-driven and adaptable AI solutions optimized for
their specific industry needs.
As businesses
continue discovering new potential uses and values with AI chipsets, the
outlook for sustained strong market expansion remains positive. AI
chipset-powered technologies have become critical for digital transformation
and competitive strategies worldwide. The global AI chipset market is poised
for robust growth as adoption accelerates across industries.
Browse over 26
market data Figures spread through 91 Pages and an in-depth TOC on "Global Artificial Intelligence Chipset Market.”
The Global
Artificial Intelligence Chipset Market is segmented by type of AI chipset,
technology, end-user industry and region. The type of AI chipset segment
includes GPU AI chipsets, CPU AI chipsets, FPGA AI chipsets and ASIC AI
chipsets. The technology segment is divided into deep learning, machine
learning and quantum AI chipsets.
In terms of
end-user industry, the market is bifurcated into consumer, IT & telecom,
healthcare, banking, financial services and insurance, manufacturing &
industrial and others. Regionally, North America, Europe, Asia Pacific, Latin
America and Middle East & Africa are the key markets for AI chipsets.
Among types, GPU
AI chipsets dominated the market in 2022. GPUs are massively parallel processors
that can handle multiple deep learning tasks simultaneously, making them highly
suitable for computationally intensive AI workloads. Within technology, deep
learning accounted for the largest share and is expected to continue its
dominance over the forecast period. Deep learning has revolutionized domains
like computer vision, NLP and more by achieving human-level performance.
In terms of
end-users, the banking, financial services and insurance industry emerged as
the fastest growing segment in recent years. The BFSI sector has widely adopted
AI chipsets to develop applications like predictive analytics, risk assessment,
fraud detection and personalized recommendations. Going forward, the healthcare
industry is projected to showcase the highest growth, fueled by increasing
integration of AI for drug discovery, advanced diagnostics, treatment and
clinical trials.
Geographically,
North America dominated the global AI chipset market in 2022 owing to heavy
investments in AI research and presence of leading chipmakers. However, Asia
Pacific is likely to witness the fastest CAGR during the forecast period,
driven by China, India and other developing Asian countries ramping up
investments to strengthen their AI infrastructure.
Major companies operating in Global Artificial
Intelligence Chipset Market are:
- NVIDIA Corporation
- INTEL CORPORATION
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services
- Qualcomm
- Alphabet Inc
- Samsung Electronics Co. Ltd
- Micron Technology, In
- Xilinx, Inc
Download Free Sample Report
Customers can also request for 10%
free customization on this report.
“The artificial
intelligence chipset market is experiencing significant expansion worldwide
driven by advancing technologies and widespread enterprise adoption. Breakthroughs
in areas such as AI, data analytics, cloud and IoT have expanded the
capabilities of AI chipset solutions. These platforms can now generate
realistic insights, predictions and personalized recommendations to support
diverse business applications at scale.
Companies are
recognizing AI chipsets as strategic tools that can transform beyond
supplementary technologies. Software solutions are becoming integral to
strategic planning and decision-making processes. By collecting and analyzing
vast amounts of employee data, talent management solutions powered by AI
chipsets allow enterprises to deeply customize learning, performance management
and experiences for individual employees and teams. This level of personalized
engagement is revolutionizing how businesses develop and engage their
workforce.
Adoption of AI
chipset solutions is no longer limited to just large enterprises. Even small
and medium enterprises are investing in these platforms to attract and retain
top talent. Solution providers continue to innovate through R&D to address
the evolving needs of diverse organizations and industries.
Regulatory
bodies are developing frameworks around data privacy and security to ensure
ethical standards are upheld, fostering healthy competition and allowing
innovation.
Powered by
ongoing technological breakthroughs, growing acceptance of data-driven
strategies, and a strong focus on innovation, the AI chipset market is
well-positioned for sustained expansion. As AI and analytics become core
capabilities, solutions are cementing their role as indispensable tools to
transform digital experiences and optimize workforce management across all
enterprise sizes and sectors. The future outlook for the AI chipset industry
remains very promising.” said Mr. Karan Chechi, Research Director with TechSci
Research, a research-based management consulting firm.
“Artificial
Intelligence Chipset Market – Global
Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented by Type of AI Chipset (GPU (Graphics Processing Unit) AI Chipsets, CPU
(Central Processing Unit) AI Chipsets), FPGA (Field-Programmable Gate Array) AI Chipsets, ASIC
(Application-Specific Integrated Circuit) AI Chipsets) By Technology (Deep
Learning, Machine Learning, Quantum AI Chipsets), By End-User Industry (Consumer,
IT and Telecom, Healthcare, Banking, Financial Services, and Insurance (BFSI),
Manufacturing and Industrial, Others), By
Region, By Competition”, has evaluated the future growth
potential of Global Artificial Intelligence Chipset Market and provides
statistics & information on market size, structure and future market
growth. The report intends to provide cutting-edge market intelligence and help
decision makers take sound investment decisions. Besides, the report also
identifies and analyzes the emerging trends along with essential drivers,
challenges, and opportunities in Global Artificial Intelligence Chipset Market.
Contact
Mr.
Ken Mathews
708
Third Avenue,
Manhattan,
NY,
New
York – 10017
Tel:
+1-646-360-1656
Email:
[email protected]
Website:
www.techsciresearch.com