AI Accelerator Chips Market: Current Analysis and Forecast (2023-2030)

Report Description

The AI Accelerator Chips Market was valued at 15.1 billion in 2022 and is expected to grow at a steady rate of around 37.4% in the forecasted period (2023-2030) owing to increasing demand for AI applications in various industries such as technology, healthcare, finance, retail, and more. AI accelerator chips are specialized microprocessors designed specifically for speeding up complex artificial intelligence computations like deep learning neural networks (DNNs), which require massive amounts of data processing power along with low latency requirements so they can perform real-time tasks efficiently without any lag issues whatsoever. The market for AI accelerator chips has been growing rapidly in recent years due to the increasing demand for AI applications in various industries such as technology, healthcare, finance, retail, and more. Moreover, continuous research & development initiatives by companies worldwide exploring new technologies related fields like neuromorphic computing based on quantum mechanics principles aiming even greater efficiency gains than traditional methods used nowadays. Also, rapidly increasing investment in AI startups and funding for AI-related projects, leading to an increase in demand for AI accelerators. For instance, on 30 November 2023, Microsoft announced a plan to pump £2.5 billion ($3.2 billion) into Britain over the next three years, which will underpin future growth in artificial intelligence.

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Some of the major players operating in the market include NVIDIA Corporation; Intel technologies; Qualcomm Technologies Inc.; International Business Machines Corporation.; Micron Technology Inc.; Microsoft Corporation; Alphabet Inc. (Google Inc.); NXP Semiconductors N.V.; Advanced Micro Devices Inc. (AMD); Graphcore Limited.

Insights Presented in the Report

“Among chip type, the ASIC segment holds largest share of the market during forecast period.”

Based on chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. Among these, the Application-Specific Integrated Circuit (ASIC) segment currently leads the AI accelerator chips market. The growing demand for high-performance computing in various applications such as deep learning, natural language processing, and computer vision has driven this trend. Additionally, ASICs offer optimized performance and power efficiency compared to other types of chips like General Purpose Graphics Processing Units (GPGPUs) or Field Programmable Gate Arrays (FPGAs) which drives its demand.

“Amongst processing type, cloud segment is holding the significant during the forecast period.”

Based on the processing type, the market is bifurcated into edge, and cloud. Among these, the Cloud segment currently holds a larger share in the AI accelerator chips market due to the increasing adoption of cloud-based services and platforms. This is because cloud computing offers scalability, flexibility, and cost savings compared to other solutions. Furthermore, cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform are investing heavily in developing their own AI accelerators to support their respective machine learning and artificial intelligence initiatives.

AI Accelerator Chips Market Report Coverage

“North America to hold a significant share in the market.”

The AI accelerator chips market in North America is poised for significant growth during the forecast period due to the region’s strong presence of technology giants like Google, Microsoft, IBM, and NVIDIA driving innovation and investment in AI research and development. Moreover, the growing adoption of cloud computing services and edge AI applications in industries like healthcare, manufacturing, and retail will also contribute to market expansion. Furthermore, government initiatives supporting the development of AI technologies, particularly in the fields of autonomous vehicles and smart cities, will create new opportunities for AI accelerator chips.

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Reasons to buy this report:

• The study includes market sizing and forecasting analysis validated by authenticated key industry experts.
• The report presents a quick review of overall industry performance at one glance.
• The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.
• Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.
• The study comprehensively covers the market across different segments.
• Deep dive regional level analysis of the industry.

Customization Options:

The global AI Accelerator Chips market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to contact us to get a report that completely suits your requirements.

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Research Methodology

Research Methodology for the AI Accelerator Chips Market Analysis (2023-2030)

Analyzing the historical market, estimating the current market, and forecasting the future market of the global AI Accelerator Chips market were the three major steps undertaken to create and analyze the adoption of AI Accelerator Chips market in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the global AI Accelerator Chips market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:

Analysis of Historical Market Size

Step 1: In-Depth Study of Secondary Sources:

Detail secondary study was conducted to obtain the historical market size of the AI Accelerator Chips market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.

Step 2: Market Segmentation:

After obtaining the historical market size of the AI Accelerator Chips market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as chip type, processing type, and industry. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.

Step 3: Factor Analysis:

After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the AI Accelerator Chips market. Further, we conducted factor analysis using dependent and independent variables such as various chip types, processing type, and industry AI Accelerator Chips market. A thorough analysis was conducted of demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the AI Accelerator Chips market sector across the globe.

Current Market Size Estimate & Forecast

Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global AI Accelerator Chips market, and market shares of the segments. All the required percentage shares split, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.

Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2030 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:

• The industry’s market size, in terms of revenue (USD) and the adoption rate of the AI Accelerator Chips market across the major markets domestically
• All percentage shares, splits, and breakdowns of market segments and sub-segments
• Key players in the global AI Accelerator Chips market in terms of products offered. Also, the growth strategies adopted by these players to compete in the fast-growing market.

Market Size and Share Validation

Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.

 Split of Primary Participants in Different Regions

Market Engineering

The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global AI Accelerator Chips market. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of chip type, processing type, and industry in the global AI Accelerator Chips market.

The main objective of the Global AI Accelerator Chips Market Study

The current & future market trends of the global AI Accelerator Chips market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:

• Analyze the current and forecast market size of the AI Accelerator Chips market in terms of value (USD). Also, analyze the current and forecast market size of different segments and sub-segments.
• Segments in the study include areas of chip type, processing type, and industry.
• Define and analysis of the regulatory framework for the AI Accelerator Chips market industry.
• Analyze the value chain involved with the presence of various intermediaries, along with analyzing customer and competitor behaviors of the industry.
• Analyze the current and forecast market size of the AI Accelerator Chips market for the major region.
• Major countries of regions studied in the report include Asia Pacific, Europe, North America, and the Rest of the World.
• Company profile of the AI Accelerator Chips market and the growth strategies adopted by the market players to sustain in the fast-growing market.
• Deep dive regional level analysis of the industry

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