The 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:
Edge AI The Market research report explores and evaluates the Market's position during the predicted period. It is in-depth study that focuses on fundamental and secondary drivers, Market dominance, key segments, and geographic analysis. The research also looks at notable individuals, large collaborations, mergers, and acquisitions, as well as contemporary innovation and corporate strategy.
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Market Scope:
We examined the Edge AI Market from every angle conceivable, including both primary and secondary research approaches. This improved our grasp of current Market dynamics such as supply-demand imbalances, pricing trends, product preferences, and consumer behaviour. Following that, the data is collated and evaluated utilizing a variety of Market estimation and data validation procedures. In addition, we have an in-house data forecasting engine that predicts Market growth until 2029.
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Edge AI Segmentation:
By Component: The hardware, software, edge cloud infrastructure, and services that make up the Edge AI industry can be divided into many categories. By dividing the market into segments based on these factors, it is possible to conduct a focused examination of the crucial factors influencing the operation and performance of edge devices, enabling the development of customised solutions.
Memory includes RAM, ROM, and NVM options, while hardware processors offer a wide range of models including CPUs, GPUs, FPGAs, and ASICs. Cameras, microphones, and temperature sensors are examples of sensors that collect environmental data. Input/output interfaces, networking modules, specialised hardware accelerators, and power management units are additional components.
By Application: The Edge AI market may be divided based on the various industries it is used in, such as video surveillance, energy management, access control, autonomous cars, and many more. Applications for video surveillance use edge AI for real-time video analysis and improved security. Edge AI is used by access management to provide safe access control and authentication. Edge AI is a critical component of autonomous cars' onboard processing and decision-making for navigation and collision avoidance. Edge AI is used in energy management to manage the smart grid and optimise energy consumption. Edge AI also has uses in a variety of industries, including agriculture, manufacturing, healthcare, and retail. The ability to target solutions and develop industry-specific strategies to address the unique needs of each segment is made possible by segmenting the market based on applications.
1. Edge AI Market Size and Forecast, by Component (2022-2029)
1. Hardware
2. Software
3. Edge Cloud Infrastructure
4. Services
5.2. Edge AI Market Size and Forecast, by Application (2022-2029)
1. Video Surveillance
2. Access Management
3. Autonomous Vehicles
4. Energy Management
5. Others
3. Edge AI Market Size and Forecast, by Device Type (2022-2029)
1. Smartphones
2. Cameras
3. Robots
4. Wearables
5. Smart speakers
6. Surveillance Cameras
7. Edge Servers
8. Smart Mirrors
Edge AI Key Players:
Primary and secondary research is used to determine Market leaders, while primary and secondary research are used to compute Market revenue. The core study included in-depth interviews with key thought leaders and industry specialists such as experienced front-line personnel, CEOs, and Marketing professionals. In-depth interviews with important thought leaders and industry specialists, such as experienced front-line personnel, CEOs, and Marketing professionals, were conducted as part of primary research, while secondary research included a study of the major manufacturers' annual and financial reports. Secondary sources are utilized to compute percentage splits, Market shares, growth rates, and global Market breakdowns, which are then compared to historical data. The players highlighted in this report are as follows:
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)
Regional Analysis:
The study provides an in-depth look at the area industry, covering both qualitative and quantitative data. It provides an overview and forecast of the global Edge AI Market by segment. It also provides Market size and forecast estimations for five main regions from 202 to 2029, including North America, Europe, Asia-Pacific, the Middle East & Africa, and South America. The Edge AI Market in each area is further segmented into regions and segments. The study examines and anticipates several nations, as well as current trends and opportunities in the area.
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COVID-19 Impact Analysis on Edge AI Market:
We thoroughly researched and analyzed the Global Edge AI Market Development Strategy post-COVID-19, by corporate strategy analysis, landscape, type, application, and leading countries, which encompasses and analyses the global Edge AI industry's potential, providing statistical data on Market dynamics, growth factors, major challenges, PORTER analysis, and Market entry strategy analysis, opportunities, and forecasts. The primary goal of the research is to provide enterprises in the industry with a strategic analysis of the impact of COVID-19. Simultaneously, this research investigated the Marketplaces of significant nations and presented their Market potential.
Key Questions Answered in the Edge AI Market Report are:
- What are the most potential high-growth prospects in the worldwide Edge AI industry, broken down by product category, End User, and Region?
- Which Edge AI Market categories will grow the most rapidly, and why?
- Which regions will grow faster, and why?
- What are the major factors impacting Edge AI Market dynamics? What are the Edge AI Market's major drivers and challenges?
- What are the business risks and dangers in the Edge AI Market?
Key Offerings:
- Past Market Size and Competitive Landscape (2018 to 2022)
- Past Pricing and price curve by region (2018 to 2022)
- Market Size, Share, Size & Forecast by different segment | 2023−2029
- Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
- Market Segmentation – A detailed analysis by segment with their sub-segments and Region
- Competitive Landscape – Profiles of selected key players by region from a strategic perspective
- Competitive landscape – Market Leaders, Market Followers, Regional player
- Competitive benchmarking of key players by region
- PESTLE Analysis
- PORTER’s analysis
- Value chain and supply chain analysis
- Legal Aspects of Business by Region
- Lucrative business opportunities with SWOT analysis
- Recommendations
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