Global Edge AI Market Size & Growth Report, 2022-2031

The Global Edge AI Market was valued at USD 20.39 billion in 2023 and is expected to reach USD 142.4 billion by 2031, growing at a robust CAGR of 27.5% during the forecast period from 2024 to 2031. Edge AI, the deployment of AI applications and services directly on edge devices, enables real-time data processing, reduces latency, and optimizes bandwidth usage, making it a key technology in sectors like autonomous vehicles, smart cities, industrial IoT, and healthcare. The market is driven by the increasing demand for real-time decision-making, enhanced privacy and security, and cost efficiency. This report provides a comprehensive analysis of the Edge AI market dynamics, key industry trends, regional insights, and leading market players such as Alphabet Inc., Amazon, Microsoft, IBM, Intel, and more.

Edge AI, or Edge Artificial Intelligence, refers to the deployment of AI applications and services directly on edge devices rather than relying on centralized cloud-based systems. This approach allows for real-time data processing and decision-making closer to the source of data generation, reducing latency and bandwidth usage.

Here are some applications of Edge AI:

  • Autonomous Vehicles:
    • Edge AI enables vehicles to process sensor data in real-time, making immediate decisions for navigation and safety without relying on cloud connectivity.
  • Smart Cities:
    • Edge AI supports various smart city applications, including traffic management, surveillance, and energy management, by processing data locally to provide quick responses.
  • Industrial IoT:
    • In industrial settings, Edge AI can monitor equipment, detect anomalies, and predict maintenance needs, thereby reducing downtime and enhancing operational efficiency.
  • Healthcare:
    • Edge AI can be used in medical devices for real-time patient monitoring and diagnostics, providing timely interventions and reducing the load on healthcare facilities.

 Market Overview

The Global Edge AI Market was valued at USD 20.39 Billion in 2023 and is estimated to reach at USD 10.3 Billion in 2031 growing at a CAGR of 27.5% over the forecast period from 2024-2031. The report would provide you with market size estimates both in terms of revenue (USD Million) for the time period from 2022 to 2031. The report would provide various factors responsible for growth of the market across various geographies considered under the scope of the study. The report covers in-depth global and regional level analysis of various market segmentations based on Component, Industry, and Region.

Market Dynamics:

Below are the factors impacting the growth of EDGE AI Market:

  • Growing Demand for Real-Time Data Processing:
    • There is an increasing need for real-time data processing across various industries, from autonomous vehicles to smart manufacturing. Edge AI meets this demand by processing data locally and providing immediate insights.
  • Privacy and Security Concerns:
    • Edge AI addresses privacy and security concerns by reducing the amount of data transmitted to central servers. This is particularly important in sensitive applications like healthcare and finance, where data privacy is paramount.
  • Cost Efficiency:
    • By processing data at the edge, organizations can reduce bandwidth and cloud storage costs. This cost efficiency is a significant factor driving the adoption of Edge AI solutions.

Regional Analysis

Based on region, Global Edge AI Market is classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America. North America is divided into United States, Canada, and Mexico. Europe is bifurcated into Germany, U.K., France, Italy, Spain and Rest of Europe. The key country covered under Asia Pacific region includes China, Japan, India, South East Asia and Rest of Asia Pacific. Middle East & Africa is bifurcated into UAE, Saudi Arabia, South Africa and Rest of MEA. Finally, Latin America is divided into Brazil, Argentina and Rest of Latin America.

Competition Landscape

The report covers company profiles and competition analysis of major players operating under Global Edge AI Market. The company profile section includes Company Overview, Financials, Business Overview, Recent Developments, Key Strategies, Product Mapping, Regional Presence, etc. Further, the competition analysis provides you with details about Competitor Overview, Market Share Analysis, Company Performance based on Various Parameters, etc. The major players operating in Global Edge AI Market are Alphabet Inc. (U.S.), Amazon.com, Inc. (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Nutanix, Inc. (U.S.), Intel Corporation (U.S.), Synaptics Incorporated (U.S.), ADLINK Technology Inc. (Taiwan), Gorilla Technology Group (Taiwan), and Viso.ai (Switzerland).

 Market Segmentation

The Global Edge AI Market can be segmented on the basis of Component, Industry, and Region. Further, the report would provide a detailed analysis based on below mentioned market segmentation at the global as well regional levels.

 Global Edge AI Market Scope:

Global Edge AI Market
Base Year2023Historical Year2022
Forecast Period2024-2031CAGR (2024-2031)27.50%
Market Size in 2023USD 20.39 BillionMarket Size in 2031USD 142.4 Billion
Segments CoveredBy Component• Hardware
• Network
• Edge Cloud Infrastructure
• Software
• Support Services
By Industry• Edge Cloud Infrastructure
• Automotive
• Manufacturing
• Healthcare
• Energy & Utility
• Consumer Goods
• IT & Telecom
• Others (Retail)

 Global Edge AI Market by, Region and Countries:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South East Asia
    • Rest of Asia Pacific
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

 Reason to Purchase the Report:

  • Latest trends in the market
  • In depth market segmentation and cross regional / country analysis
  • Market dynamics analysis including drivers, restraints and opportunities in the market
  • Market sizing and segment analysis
  • Competition Analysis including profiling of key market players
  • Market share analysis and key strategies adopted by key players
  • Recent developments and technological advancement by key players in the market
  • Key takeaways from the research findings to take strategic decision in business needs
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