Edge AI Software Market Overview

The edge AI software market share is witnessing outstanding growth over the past couple of years. Edge AI solutions allow faster computing & insights, better data security, and efficient control over continuous operation, enhancing the performance of AI-enabled applications and keeping operating costs down. Proliferation of connected & smart devices and the massive amount of data generated escalated the market shares.

This growth attributes to futuristic edge AI capabilities that empower businesses to grow exponentially with the help of connected technologies & smart devices. Edge AI can also assist in overcoming technological challenges associated with AI. Edge computing is witnessing a significant interest with the introduction of 5G. Similarly, augmenting uptake of edge AI in growing numbers of businesses augments the market demand.

With rising developments around edge AI impacting modern digital enterprises, the market is estimated to garner significant traction in the next few years. According to Market Research Future (MRFR), the global edge AI software market is expected to gain exponential valuation by 2027, posting a phenomenal CAGR during the assessment period (2022 – 2030).

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On the other hand, safety and security concerns and the reluctance of the market players for investments inhibit the market growth. Edge AI facilitates machine learning (ML), autonomous application of deep learning (DL) models, and advanced algorithms on the Internet of Things (IoT) devices, which would support the market growth throughout the assessment period. 

Global Edge AI Software Market – Segments

The market is segmented into components, data sources, verticals, and regions. The component segment is sub-segmented into solutions and services. The sub-segment solution is further bifurcated into software tools and platforms. At the same time, the sub-segment service is further segmented into system integration & testing services, training & consultation services, support & maintenance services, and others.

The data source segment is sub-segmented into video & image recognition, biometric data, speech recognition, sensor data, mobile data, and others. The application segment is sub-segmented into autonomous vehicles, video surveillance, access management, remote monitoring & predictive maintenance, energy management, telemetry, and others.

The vertical segment is sub-segmented into government & public, energy & utilities, manufacturing, automotive, telecom, healthcare, and others. The region segment is sub-segmented into Europe, North America, Asia Pacific, the Middle East & Africa, and others.

Global Edge AI Software Market- Geographical Analysis

North America leads the global edge AI software market. The largest market share is attributed to vast technological advances and well-established infrastructures in the region. Augmenting uptake backed by the government’s programs encouraging advancements in IoT & cloud technologies is another growth driver.  

 Besides, increasing deployments of edge AI software technologies with advanced analytics providing comprehensive support and specialty in real-time data access substantiate the market size. Rising demand for edge AI solutions among enterprises to take faster business decisions, comprehending business scenarios quickly, offer vast market opportunities.

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Global Edge AI Software Market – Competitive Analysis 

Edge AI software market appears to be competitive & fragmented due to many matured & small key players accounting for a substantial market share. Through the acquisition, strategic partnership, expansion, product/technology launch &collaboration, these players gain a larger competitive advantage. Heavy investments are transpired in the R&D to develop a completely different technology compared to their competition.  

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