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Edge Ai Software Market Size, Share, Industry Trends and Forecast to 2030

Edge Ai Software Market Research Report – Segmented By Region (North America, Europe, Asia-Pacific, Middle-East & Africa, Latin America) – Analysis on Size, Share, Trends, COVID-19 Impact, Competitive Analysis, Growth Opportunities and Key Insights from 2019 to 2030.


  • Published date -30th Jan 2024

  • Formats -PDF, CSV

  • Region -Global

1. What is the Market Size & CAGR of Edge Ai Software Market in 2021?

The global edge AI software market size in 2021 was valued at USD 590 million. It is expected to grow at a Compound Annual Growth Rate (CAGR) of 28% from 2021 to 2025. This growth is driven by the increasing adoption of edge AI solutions across various industries such as healthcare, manufacturing, retail, and transportation.

2. COVID-19 Impact on the Edge Ai Software Market

The COVID-19 pandemic has had a significant impact on the edge AI software market. With the shift towards remote working and digital transformation, there has been a surge in demand for edge AI solutions that can enable real-time data processing and analysis at the edge. This has led to increased investments in edge AI software by companies looking to enhance their operational efficiency and decision-making processes.

3. Edge Ai Software Dynamics

The dynamics of the edge AI software market are constantly evolving, driven by technological advancements, changing consumer preferences, and regulatory developments. Key trends in the market include the integration of AI algorithms with edge computing devices, the rise of 5G technology enabling faster data processing, and the increasing focus on data security and privacy.

4. Segments and Related Analysis

The edge AI software market can be segmented based on deployment mode, industry vertical, and region. By deployment mode, the market is divided into cloud-based and on-premises solutions. In terms of industry vertical, the market caters to healthcare, manufacturing, retail, transportation, and others. Regionally, the market is analyzed across North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa.

5. By Region Analysis

- North America: The North American market for edge AI software is expected to witness significant growth due to the presence of major tech companies and the rapid adoption of advanced technologies in various industries.

- Europe: The European market is also poised for substantial growth as countries invest in digital infrastructure and innovation to drive economic growth and competitiveness.

- Asia Pacific: The Asia Pacific region presents lucrative opportunities for edge AI software vendors, supported by the growing demand for smart technologies in emerging economies like China and India.

- Latin America: The Latin American market is anticipated to experience steady growth driven by the increasing focus on digital transformation and the adoption of AI solutions in key industries.

- Middle East & Africa: The MEA region is gradually embracing edge AI technology, with governments and businesses investing in digitalization initiatives to enhance operational efficiency and customer experience.

6. Key Market Players and Competitive Landscape

Some of the key players in the global edge AI software market include NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Samsung Electronics, Huawei Technologies, Dell Technologies, and Cisco Systems. These companies are actively involved in product development, partnerships, and mergers to strengthen their market presence and gain a competitive edge.

7. Recent Happenings in the Edge Ai Software Market

- In March 2021, NVIDIA announced the launch of its NVIDIA AI-on-5G platform, enabling enterprises to deploy AI applications at the edge using 5G networks.

- In September 2021, Intel unveiled its new Intel Edge Software Hub, offering developers a centralized platform to access tools and resources for edge AI development.

- In January 2022, IBM introduced its IBM Edge Application Manager, a software solution designed to simplify the deployment and management of AI workloads on edge devices.

- In April 2022, Microsoft partnered with a leading healthcare provider to develop AI-powered diagnostics tools for edge devices, leveraging Microsoft Azure AI capabilities.

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