Global Edge AI Processor Market reached US$ 2.2 billion in 2023 and is expected to reach US$ 8.3 billion by 2031, growing with a CAGR of 18.6% during the forecast period 2024-2031.
The Edge AI market report provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. With a commitment to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Leveraging a combination of qualitative and quantitative research methods, the company offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.
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Edge AI refers to the integration of artificial intelligence (AI) directly into devices and systems at the “edge” of a network, rather than relying solely on cloud computing. This allows data processing, decision-making, and real-time insights to occur on the device itself, often with minimal latency and reduced bandwidth requirements. This technology is especially useful in applications where immediate processing is essential, and sending large amounts of data to the cloud would be inefficient or impractical.
Forecast Growth Projected:
The Global Edge AI Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
List of the Key Players in the Edge AI Market:
Apple, Inc., Samsung Electronics Co., Ltd., Mythic, Qualcomm Technologies, Inc., Huawei Technologies Co., Ltd., Intel Corporation, Google LLC, NVIDIA Corporation, Arm Limited, and Advanced Micro Devices, Inc.
Industry Development:
On January 8, 2024, Intel ushered in a new era of AI-driven computing at CES 2024 with the launch of its latest processors for mobile, desktop, and edge devices. A key highlight of the announcement was the introduction of the Intel Core 14th Gen processor family, along with Intel Core Ultra-powered systems, marking a significant step forward in Intel’s commitment to meeting diverse user needs and pushing the boundaries of computing technology.
On February 27, 2024, at MWC 2024, Intel unveiled its new AI PC processors and platforms, including a preview of the upcoming Xeon processors and edge platform. Among the major updates was the Granite Rapids-D Xeon processor, which features integrated AI acceleration and the latest P-core generation, set to debut in 2025.
In a separate development on June 15, 2023, STMicroelectronics introduced a new series of 64-bit microprocessors designed for edge computing. These processors offer enhanced performance and specialized features critical for real-time data processing in machine learning applications within industrial sectors. Leading the charge is the STM32MP25 microprocessor, which includes a dedicated neural processing unit to accelerate edge AI applications.
Research Methodology
Our research methodology combines both qualitative and quantitative approaches to provide you with a thorough market analysis. We begin by gathering data from trusted industry reports and databases (secondary research), followed by primary research through surveys and interviews with key experts. We then apply advanced statistical tools to analyze the data, uncover trends, and assess market dynamics. Additionally, we use market segmentation and Porter’s Five Forces analysis to evaluate competition. This approach ensures that the insights we provide are reliable, actionable, and tailored to support your decision-making process.
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Segment Covered in the Edge AI Market:
By Type: Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC)
By Device Type: Consumer Devices, Enterprise Devices
By End-User: Automotive and Transportation, Healthcare, Consumer Electronics, Retail and E-commerce, Others
This Report Covers:
✔ Go-to-market Strategy.
✔ Neutral perspective on the market performance.
✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, Market Access, and other significant analysis, as well as development status.
✔Customized regional/country reports as per request and country level analysis.
✔ Potential & niche segments and regions exhibiting promising growth covered.
✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).
Regional Analysis for Edge AI Market:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.
➡ Top-down and bottom-up approach for regional analysis
➡ Porter’s five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players.
➡ By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Market
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Frequently asked questions:
➠ What is the global sales value, production value, consumption value, import and export of Edge AI market?
➠ Who are the global key manufacturers of the Edge AI Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?
➠ What are the Edge AI market opportunities and threats faced by the vendors in the global Edge AI Industry?
➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?
➠ What focused approach and constraints are holding the Edge AI market?
➠ What are the different sales, marketing, and distribution channels in the global industry?
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