Edge AI Software Market by Offering (Solutions (Standalone and Integrated) and Services), Data Type (Video & Image Data, Audio Data, Text & Language Data, Biometric Data, and Multi-modal Data), Vertical and Region - Global Forecast to 2028

Edge AI Software Market by Offering (Solutions (Standalone and Integrated) and Services), Data Type (Video & Image Data, Audio Data, Text & Language Data, Biometric Data, and Multi-modal Data), Vertical and Region - Global Forecast to 2028

The global market for Edge Al Software is projected to grow from USD 1.1 billion in 2023 to USD 4.1 billion by 2028, at a CAGR of 30.5% during the forecast period. Edge AI software is revolutionizing industries worldwide, driven by its ability to process data in real-time, minimize latency, and bolster security. This exponential growth can be attributed to several factors, including the proliferation of IoT devices generating massive amounts of data that require real-time processing. Edge AI software effectively addresses this need by analyzing data on the edge, eliminating the need for cloud transmission. Additionally, edge AI software reduces latency by processing data closer to the source, ensuring real-time responses critical for applications such as autonomous vehicles and smart cities. Furthermore, it enhances security by isolating data on the edge, making it more resistant to unauthorized access.

“The healthcare & life sciences vertical is projected to hold the largest CAGR during the forecast period.”

Edge AI software is being adopted in the healthcare and life sciences vertical to enable smart medical facilities with digital diagnosis and remote patient monitoring. The adoption of Edge AI in healthcare is critical for both patients and healthcare providers, as it can automate tasks, enable autonomous monitoring of hospital rooms and patients, and monitor vital signs. Edge AI computing usage cases can greatly extend the range of health services, and large chip manufacturers have been investing heavily in Edge AI. Edge AI is utilized for in-hospital patient monitoring, fall detection, radiology, and anomaly and injury detection. Real-time insights and alerts can be given to operators as suspicious activity or objects are detected.

“Among data type, video and image data to account for the largest market during the forecast period.”

Edge AI software is being adopted in image and voice data to enable computer vision in business and mission-critical systems. Edge AI involves deploying AI applications in devices throughout the physical world, allowing computations to be done close to where data is actually created, rather than at a centralized cloud computing facility or private data centre. Edge AI devices include smart speakers, smartphones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics. Object detection and recognition are key features of Edge AI software. AI image recognition technology is a core application of deep learning. AI systems can pick up hidden patterns in collections of images and make independent, smart decisions. The benefits of edge AI include increased privacy, reduced power, and faster real-time analytics at higher speeds, lower costs, and with less power.

“Among service, professional services is anticipated to account for the largest market share during the forecast period.”

Edge AI software is revolutionizing professional services by enabling real-time data analysis and decision-making. This technology allows for predictive maintenance, fraud detection, risk assessment, compliance monitoring, and remote monitoring, all while ensuring data privacy and minimizing latency. As a result, edge AI is transforming the way professional services are delivered, leading to improved efficiency, productivity, and customer satisfaction.

“North America to account for the largest market size during the forecast period.”

The adoption of edge AI software in North America is rapidly gaining traction, driven by government initiatives, industry adoption, and technological advancements. Government support is accelerating the integration of edge AI into critical infrastructure and services, while businesses are embracing edge AI for predictive maintenance, real-time patient monitoring, autonomous vehicles, and smart city infrastructure. With continued innovation and adoption, edge AI is poised to play a transformative role in various sectors across North America.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Edge AI software market.

By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%

By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%

By Region: North America: 40%, Europe: 20%, APAC: 30%, MEA: 5%, Latin America: 5%

Major vendors offering Edge AI software solutions and services across the globe are Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US), Synaptics (US), TIBCO (US), Octonion (Switzerland), Imagimob (Sweden), Anagog (Israel), Veea (US), Gorilla Technology (China), Azion (US), Bragi (Germany), Tact.ai (US), Ekinops (France), Clearblade (US), Alef Edge (US), Adapdix (US), byteLAKE (Poland), Reality Al (US), Deci (Israel), Edgeworx (US), Swim (US), Invision Al (Canada), Horizon Robotics (China), Kneron (US), DeepBrainz (India), Johnson Controls(Ireland), and Blaize(US).

Research Coverage

The market study covers Edge AI software across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, data type, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for Edge AI software and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Ever-increasing enterprise workloads on the cloud, Rapid growth in the number of intelligent applications, Exponentially growing data volume and network traffic, Increasing Use of IoT Driving Demand for Edge AI Software, Rising Introduction of 5G Network to Boost Market Growth), restraints (Privacy and security concerns related to edge AI solutions, Inadequate number of AI experts), opportunities (Emergence of the 5G network to bring IT and telecom together, Advent of autonomous vehicles coupled with connected car infrastructure, Rising need of edge computing in IoT, Exploring Emerging Applications in Various Fields), and challenges (Interoperability issues slowing the adoption of edge AI software, Optimization of edge AI standards)

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Edge AI software market.

Market Development: Comprehensive information about lucrative markets – the report analyses the Edge AI software market across varied regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in Edge AI software market strategies; the report also helps stakeholders understand the pulse of the Edge AI software market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US) and others in the Edge AI software market.