Artificial Intelligence (AI) Chipset Market 2028 By Size, Share, Trends, Growth, Forecast

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 (AI) 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.”
https://www.techsciresearch.com/report/artificial-intelligence-chipset-market/16905.html

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

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“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.

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