Edge AI Market

Edge AI Market Size by Component (Hardware, Software, Cloud Infrastructure and Services), End User (IT & Telecom, Consumer Electronics, Automotive, Manufacturing, Healthcare, Smart Cities, Energy and Others), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2025 to 2034

Base Year: 2024 Historical Data: 2021-23
  • Report ID: TBI-14772
  • Published Date: Jun, 2025
  • Pages: 236
  • Category: Information Technology & Semiconductors
  • Format: PDF
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Market Introduction

The global Edge AI market was valued at USD 27.07 Billion in 2024 and grew at a CAGR of 33.30% from 2025 to 2034. The market is expected to reach USD 479.44 Billion by 2034. The market is driven by a growing focus on technologies like wearable devices, self-driving cars, smart home appliances and security cameras, which use edge AI capabilities that deliver users real-time information, which is crucial with such technology. Edge AI demand is growing as several industries are looking to optimize their workflows, automate business processes, and address many innovations that address security, latency, and cost reduction.  Growing demand for IoT-based edge computing services and their many other advantages has led to their growing use.

Edge AI means the deployment of AI algorithms and AI models on edge devices like sensors and Internet of Things (IoT) devices, which help in real-time data processing and analysis, and there is no constant dependency on the cloud infrastructure. The Edge AI ecosystem consists of an array of entities that extend from end-user devices to software companies, infrastructure/hardware, and cloud service providers. It serves both consumers and B2B enterprises.  There is a growing use of AI at the edge, which is dependent not only on smaller and more efficient, less costly models but also on innovation related to the performance of systems and devices. The edge AI sector is estimated to grow significantly shortly. This is attributed to several factors: the growing use of AI in a broad range of industries, the growing use of smart devices and the Internet of Things (IoT) and the presence of more advanced and strong hardware for running the AI algorithms. Many sectors like finance, healthcare, and retail depend on real-time data for fast decision-making, which will eventually drive the Edge AI market. Edge AI offer timely responses to dynamic situations and instant data analysis, which provide a competitive edge.

Edge AI is largely used in sectors like manufacturing, healthcare, and telecommunications as it enhances operational efficiency and decreases latency by processing data close to the source. E.g., edge AI helps in remote patient monitoring using on-device data analysis, which helps in timely medical involvement. Besides faster data processing, Edge AI offers more data security as data is not going to the cloud.

Edge AI Market Size

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Recent Development

  • In June 2024: ADLINK Technology Inc., a leading organization in Edge computing, exhibited new opportunities in COMPUTEX 2024. The organization, in collaboration with NVIDIA, is trying to explore more business opportunities in smart manufacturing, smart transportation, healthcare and AI graphics with products such as DLAP-211-Orin Series deep learning acceleration platform, MLB-IGX medical box PC, EGX-MXM-AD2000 embedded MXM GPU module and NEON-2000-ONO series AI smart camera among others. It eventually helped the organization gain market share in the Edge AI market.

Market Dynamics

Drivers

Demand from several sectors– It has been observed that there is a surge in the adoption of AI in several sectors. It ranges from retail and finance to manufacturing. Several organizations use AI to improve operations and increase efficiency to get a competitive edge.  For instance, AI automates tasks, analyses sets, and makes decisions based on past trends. Thus, the demand for edge AI solutions is increasing, which can run the AI algorithms on devices at the edge of the networks and not on the cloud or the central server. Another factor driving the edge of the AI sector is the growing use of smart devices and the IoT. As the number of devices connected to the internet increases, the requirement for AI algorithms that can run on the devices without the requirement of a central server increases. Edge AI solutions can offer the required processing power to run such algorithms and enable organizations to use the data generated by edge devices to improve their operations. These factors will eventually propel the growth of the Edge AI market.

Restraints

High cost for hardware– Hardware is required for edge computing; hence, a standardized unit is required. The R&D cost is high, and building the prototype and its deployment takes time and capital. Also, capital is involved in resources and training. Also, there is the threat of data security.  All these factors are acting as restraints for the market.

Opportunities

Advancement in technology – More powerful and advanced hardware is present in the market, which is driving the market. Recently, there has been significant advancement in the development of hardware designed for running AI algorithms. These hardware solutions are more effective and efficient than computing platforms; hence, these devices can be used to run AI algorithms at the edge of networks. This can help organizations use edge AI solutions to improve operations and gain a competitive advantage. Moreover, Edge AI are broadly used in several applications, such as robotics and autonomous systems, integration of AI in industrial and humanoid robots, self-driving vehicles, drones, and security and surveillance systems, among others, directly interacting with the physical world. All these factors are increasing the demand for the use of Edge AI in the forecasting period.

Segment Analysis

Regional segmentation analysis

The regions analysed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the most significant global Edge AI market, with a 33.05% market revenue share in 2024.

The North American region leads the Edge AI market due to growing 5G network technology. Also, countries like the US in the region are substantially focusing on the adoption of advanced technology like deep learning, AI and machine learning by the leading organizations. The US government is also investing and focusing on the fast adoption of AI technology nationwide. These factors will eventually create a high demand for Edge AI in the region.

North America Region Edge AI Market Share in 2024 – 33.05%

 

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Component Segment Analysis

The component segment is divided into Hardware, Software, Cloud Infrastructure and Services. Hardware segment dominated the market, with a market share of around 55.32% in 2024. This significant share is attributed to the surge in the adoption of 5G networks and the increased demand for IoT-based computing solutions for many sectors to operate smoothly. These hardware solutions are better and more efficient than the cloud and conventional computing platforms, and hence, these devices can be used to run AI algorithms at the edge of networks.

End User Segment Analysis

The end user segment is divided into IT & telecom, consumer electronics, automotive, manufacturing, healthcare, smart cities, energy and others. The automotive segment dominated the market, with a market share of around 22.44% in 2024. This significant share is due to the growing use of AI-powered technologies like autonomous vehicle solutions and Advanced Driver Assistance Systems (ADAS) in the automotive sector. There is a growing demand for autonomous cars due to more focus on safety and convenience and a surge in the demand for safer transportation.

Some of the Key Market Players

  • ADLINK Technology Inc.
  • Gorilla Technology Group
  • Alphabet Inc.
  • Microsoft Corporation
  • International Business Machines Corporation
  • Amazon.com, Inc
  • Nutanix, Inc.
  • Viso.ai
  • Synaptics Incorporated
  • Intel Corporation

Report Description

Attribute Description
Market Size Revenue (USD Billion)
Market size value in 2024 USD 27.07 Billion
Market size value in 2034 USD 479.44 Billion
CAGR (2025 to 2034) 33.30%
Historical data 2021-2023
Base Year 2024
Forecast 2025-2034
Region The regions analyzed for the market are Asia Pacific, Europe, South America, North America, and Middle East and Africa. Furthermore, the regions are further analyzed at the country level.
Segments Component and End User

Frequesntly Asked Questions

As per The Brainy Insights, the size of the global Edge AI market was valued at USD 27.07 billion in 2024 to USD 479.44 billion by 2034.

Global Edge AI market is growing at a CAGR of 33.30% during the forecast period 2025-2034.

The market's growth will be influenced by demand from several sectors.

High cost for hardware could hamper the market growth.

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This study forecasts revenue at global, regional, and country levels from 2021 to 2034. The Brainy Insights has segmented the global Edge AI market based on below mentioned segments:

Global Edge AI Market by Component:

  • Hardware
  • Software
  • Cloud Infrastructure
  • Services

Global Edge AI Market by End user:

  • IT & Telecom
  • Consumer Electronics
  • Automotive
  • Manufacturing
  • Healthcare
  • Smart Cities
  • Energy
  • Others

Global Edge AI Market by Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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