Edge AI Market is projected to grow at a CAGR of 20.1% through 2029 and is currently valued at US$ 14.54 Bn in 2022. The Edge AI Market is expected to become $54.38 Bn by 2029.

Edge AI Market Overview: 

The study is based on thorough research, qualitative and quantitative assessment by industry experts, and inputs from professionals in the field and supply chain players. The research examines parent market trends, macroeconomic data, and controlling variables in-depth, as well as market attractiveness by segment. The qualitative influence of key market variables on market segments and regions is also mapped out in the study.

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Edge AI Market Scope:

This Edge AI market review examines the latest developments, regulatory frameworks, trade analysis, business model, supply chain utilization, market dominance, the impact of residential and localized market participants, assessments possibilities in terms of evolving revenue spots, shifts in market regulations, tactical industry growth analysis, sales volume, categorical market growth, implementation niches and dominance, product releases, global coverage, and, product launches. Contact Stellar Market Research for an Analyst Brief to learn more about the Edge AI market. Our staff will assist you in making an educated market decision to achieve market growth.

Edge AI Market Segmentation : 

By Component: Hardware, software, Edge Cloud Infrastructure, and services are the components that can be used to segment the Edge AI market. By dividing the market according to these factors, it is possible to concentrate on analyzing the essential factors that influence the functionality and performance of edge devices, enabling customized solutions for particular requirements.

Memory comprises RAM, ROM, and NVM choices, whereas hardware processors include CPUs, GPUs, FPGAs, and ASICs. Sensors, which can include temperature sensors, microphones, and cameras, gather information from their surroundings. Additional parts include input/output interfaces, specialized hardware accelerators, connectivity modules, and power management units.

By Application: The Edge AI market can be divided into submarkets according to the various uses it has, such as energy management, video surveillance, access control, autonomous cars, and other diversified industries. Edge AI is used by video surveillance apps to provide improved security and real-time video analysis. Edge AI is used by access management to provide secure authentication and access control systems. For onboard processing and decision-making in navigation and collision avoidance, autonomous cars depend on Edge AI. Edge AI is utilized in energy management to optimize energy consumption and facilitate smart grid management. Furthermore, Edge AI finds use in a number of industries, including manufacturing, retail, healthcare, and agriculture. By breaking the market down into segments according to applications, industry-specific strategies and focused solutions can be implemented to satisfy the unique needs of each segment.

1. Edge AI Market Size and Forecast, by Component (2022-2029)
1.1. Hardware
1.2. Software
1. Edge Cloud Infrastructure
1.4. Services
2. Edge AI Market Size and Forecast, by Application (2022-2029)
2.1. Video Surveillance
2.2. Access Management
2. Autonomous Vehicles
2.4. Energy Management
2.5. Others
Edge AI Market Size and Forecast, by Device type (2022-2029)
1. Smartphones
2. Cameras
Robots
4. Wearables
5. Smart speakers
6. Surveillance Cameras
7. Edge Servers
8. Smart Mirrors
4. Edge AI Market Size and Forecast, by Data Sources (2022-2029)
4.1. Mobile Data
4.2. Sensor Data
4. Biometric Data
4.4. Speech, Video and Image Recognition
5. Edge AI Market Size and Forecast, by Industry (2022-2029)
5.1. Automotive
5.2. Manufacturing
5. Healthcare
5.4. Energy and Utility
5.5. Consumer Goods
5.6. IT & Telecom
5.7. Others (Retail)
6. Edge AI Market Size and Forecast, by Region (2022-2029)
6.1. North America
6.2. Europe
6. Asia Pacific
6.4. Middle East and Africa
6.5. South America

𝗚𝗲𝘁 𝘁𝗵𝗲 𝗣𝗗𝗙 𝗦𝗮𝗺𝗽𝗹𝗲 𝗖𝗼𝗽𝘆 𝗼𝗳 𝘁𝗵𝗶𝘀 𝗿𝗲𝗽𝗼𝗿𝘁

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Edge AI Market Key Players:

To extend their presence in emerging nations and eventually broaden their client base, the key players in the market are embracing different growth tactics such as agreements and strategic alliances, as well as new product debuts. The following are some of the major participants in the Edge AI market:

North America:

1. Apple Inc. (United States)
2. Oracle Corporation (United States)
3. General Electric Company (GE) (United States)
4. Honeywell International Inc. (United States)
5. NVIDIA Corporation (United States)
6. Intel Corporation (United States)
7. Microsoft Corporation (United States)
8. Google LLC (United States)
9. Advanced Micro Devices, Inc. (AMD) (United States)
10. Xilinx, Inc. (United States)
11. Cisco Systems, Inc. (United States)
12. Dell Technologies Inc. (United States)
13. Hewlett Packard Enterprise (HPE) (United States)
14. Amazon Web Services (AWS) (United States)
15. Advanced Micro Devices, Inc. (AMD) (United States)

Europe:

16. IBM Corporation (United States, but major presence in Europe)
17. Accenture PLC (Ireland)
18. Siemens AG (Germany)
19. SAP SE (Germany)

Asia Pacific:

20. Huawei Technologies Co., Ltd. (China)
21. Samsung Electronics Co., Ltd. (South Korea)
22. MediaTek Inc. (Taiwan)
23. Baidu, Inc. (China)
24. Fujitsu Limited (Japan)
25. NEC Corporation (Japan)

𝗚𝗲𝘁 𝘁𝗵𝗲 𝗣𝗗𝗙 𝗦𝗮𝗺𝗽𝗹𝗲 𝗖𝗼𝗽𝘆 𝗼𝗳 𝘁𝗵𝗶𝘀 𝗿𝗲𝗽𝗼𝗿𝘁

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Edge AI Market Regional Analysis:

Individual market affecting elements and changes in market legislation that affect present and future marketing strategies are also discussed in the country-focused discussion of the Edge AI market study. Some of the primary elements utilized to anticipate the market situation for particular nations are consumer volumes, processing facilities, and inventories, shipping analysis, price predictive modeling, price of raw materials, and upstream and downstream value chain analysis. While offering forecast analysis of the national data, the existence and affordability of global brands, as well as the obstacles they face due to significant or limited rivalry from local and domestic manufacturers, the influence of local tariffs, and shipping lanes are all taken into account.

COVID-19 Impact Analysis on Edge AI Market:

The COVID-19 outbreak resulted in a severe and prolonged decline in production efficiency, while travel bans and factory closures kept people away from their businesses, leading the Edge AI market to slow in 2020. The new research features pandemic's impact on the Edge AI# market, as well as observations, research, estimations, and projections. The Stellar  Edge AI Market Research study contains an in-depth examination of customer behavior in the aftermath of the virus, as well as its influence on the Edge AI market's outlook, classification, trends, and economic constraints.

Key Questions Answered in the Edge AI Market Report are: 

• What are the drivers motivating overall Edge AI market advancement in the upcoming period?
• What revenue potential is estimated from the Edge AI market’s transactions in the years ahead?
• What CAGR potential is forecasted for the Edge AI market in the approaching period?
• Who are the significant contenders functioning in the Edge AI market?

• Which region is leading the global Edge AI market share at the end of the forecast period?

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