What is the global market size of Edge AI Software Market?

Global Edge AI Software Market size was valued at USD 1.19 billion in 2021 and is poised to grow from USD 1.20 billion in 2022 to USD 1.25 billion by 2030, at a CAGR of 0.57% during the forecast period (2023-2030).

Edge Ai Software Companies

Edge AI Software Market Competitive Landscape

The market is characterized by fierce competition, with a few major global rivals controlling a sizable portion of the industry. Collaboration between the key actors and the development of new products are the main priorities.

Top Player’s Company Profiles

NVIDIA Corporation (United States)

Intel Corporation (United States)

Google LLC (United States)

Microsoft Corporation (United States)

IBM Corporation (United States)

Qualcomm Technologies, Inc. (United States)

Apple Inc. (United States)

Huawei Technologies Co., Ltd. (China)

Amazon Web Services, Inc. (United States)

Samsung Electronics Co., Ltd. (South Korea)

Cisco Systems, Inc. (United States)

Dell Technologies, Inc. (United States)

Baidu, Inc. (China)

Alibaba Group Holding Limited (China)

Tencent Holdings Limited (China)

HPE (Hewlett Packard Enterprise) Company (United States)

Fujitsu Limited (Japan)

NEC Corporation (Japan)

Advanced Micro Devices, Inc. (United States)

Xilinx, Inc. (United States)

Cognex Corporation (United States)

Edge Impulse (Netherlands)

FAQs

Edge AI Software Market size was valued at USD 1.48 Billion in 2022 and is poised to grow from USD 1.84 Billion in 2023 to USD 10.33 Billion by 2031, at a CAGR of 24.10% during the forecast period (2024-2031).

The market is characterized by fierce competition, with a few major rivals controlling a sizable portion of the industry. Collaboration between the key actors and the development of new products are the main priorities. 'NVIDIA Corporation (United States)', 'Intel Corporation (United States)', 'Google LLC (United States)', 'Microsoft Corporation (United States)', 'IBM Corporation (United States)', 'Qualcomm Technologies, Inc. (United States)', 'Apple Inc. (United States)', 'Huawei Technologies Co., Ltd. (China)', 'Amazon Web Services, Inc. (United States)', 'Samsung Electronics Co., Ltd. (South Korea)', 'Cisco Systems, Inc. (United States)', 'Dell Technologies, Inc. (United States)', 'Baidu, Inc. (China)', 'Alibaba Group Holding Limited (China)', 'Tencent Holdings Limited (China)', 'HPE (Hewlett Packard Enterprise) Company (United States)', 'Fujitsu Limited (Japan)', 'NEC Corporation (Japan)', 'Advanced Micro Devices, Inc. (United States)', 'Xilinx, Inc. (United States)', 'Cognex Corporation (United States)', 'Edge Impulse (Netherlands)'

Businesses have come to understand that remote work can lower costs related to infrastructure and office space as many employees have discovered they are more productive when working from home. This will lead to an increase in demand for remote employment. Companies are making investments in remote work technology including project management software, cloud-based file-sharing platforms, and virtual meeting platforms to make it easier for remote workers to collaborate. In order to ensure that remote employees can access company networks and data securely, cybersecurity measures are becoming more and more necessary as remote work adoption rises.

The convergence of edge computing and cloud computing is becoming more prevalent. Edge AI software solutions are designed to work in synergy with cloud-based AI platforms, allowing for seamless data transfer, model training in the cloud, and edge-based inferencing, enabling organizations to leverage the strengths of both edge and cloud computing. This trend increases the demand of Edge AI softwares for making it reliable solutions in various applications.

With a revenue share of 39.9% in 2022, North America controlled the majority of the market. With the introduction of cutting-edge 5G network technology, the region is anticipated to continue seeing growth. The region's businesses have placed a strong emphasis on implementing cutting-edge technologies like AI, deep learning, and machine learning, which is what is driving the expansion. For instance, to merge Synaptic' Katana edge AI with the edge software development platform, the U.S. hardware business Synaptic Incorporated teamed up with Edge Impulse, a machine-learning development platform for edge devices, in California. The goal of this collaboration is to speed up the deployment of low-power edge AI by enabling developers to build models that are ready for production.

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Edge AI Software Market Size, Share, Growth Analysis, By Component(Solutions and Services), By Data Source(Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data), By Region - Industry Forecast 2024-2031

Edge AI Software Market Competitive Landscape

Edge AI Software Market Report Snapshots

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Edge AI Software Market Size, Share, Growth Analysis, By Component(Solutions and Services), By Data Source(Video & Image Recognition, Iris & Facial Data, Sensor Data, Mobile Data), By Region - Industry Forecast 2024-2031

Edge AI Software Market Competitive Landscape

Edge AI Software Market Report Snapshots

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