info@marketresearchfuture.com   📞  +1 (855) 661-4441(US)   📞  +44 1720 412 167(UK)
Certified Global Research Member
Isomar fd.webp Wcrc 57.webp
Key Questions Answered
  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players’ financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
Why Choose Market Research Future?
  • Vigorous research methodologies for specific market.
  • Knowledge partners across the globe
  • Large network of partner consultants.
  • Ever-increasing/ Escalating data base with quarterly monitoring of various markets
  • Trusted by fortune 500 companies/startups/ universities/organizations
  • Large database of 5000+ markets reports.
  • Effective and prompt pre- and post-sales support.

Embedded AI Market Size

ID: MRFR//10733-CR | 128 Pages | Author: Shubham Munde| June 2024

The growth and uptake of the market for embedded AI are driven by several market factors. These factors can be grouped into chip technology advancements, an increase in edge computing, the need for real-time decision-making and IoT (Internet of Things) devices.

Advanced chip technology is instrumental to the shaping of the embedded AI market. This makes them become more efficient; processors and microcontrollers advance as a result to have more power increased in them. It allows the incorporation of AI capabilities directly into embedded systems such as smartphones, smart appliances, and industrial machinery. Real-time analytics and decision-making at the edge are made possible by these embedded chips where AI algorithms may be optimized to run efficiently on them thus enabling. Businesses like these assists in advancing AI-embedded technologies via their hardware features necessary for it.

Embedded AI plays a crucial role in edge computing through which data is processed and analyzed closer to its source as opposed to depending on cloud-based services. Consequently, this approach reduces latency, minimizes bandwidth requirements, ensures privacy and security. This makes it possible for devices themselves do not require constant connectivity with cloud infrastructure while performing artificial intelligence functions at their ends.

The desire for real-time decision-making also influences the Embedded AI market.Real-time analysis of data is important in various applications that enhances efficiency hence effective operations. Embedded AI enables devices to process and analyze data on board without relying on external platforms or human intervention. This capability ensures immediate responses and prompt actions thus increasing productivity effectiveness as well as safety measures.

Another factor driving adoption of Embedded AI is rise in IoT devices. IoT devices are connected objects that collect data that can be exchanged over the internet. These generate so much information that requires processing or analysis within short periods. Embedded AI in IoT devices help in on-device inference and analytics thus reducing the need for continued data transfer to the cloud. Because of this, different industries have come up with their own definitions of what it means to be intelligent.

Covered Aspects:

Report Attribute/Metric Details
Market Size Value In 2022 USD 9.1 Billion
Market Size Value In 2023 USD 10.41 Billion
Growth Rate 14.50% (2023-2032)

Embedded AI Market Overview


Embedded AI Market Size was valued at USD 8,304.1 million in 2022. The Embedded AI Industry is projected to grow from USD 9,544.8 million in 2023 to USD 43,436.0 million by 2032, exhibiting a compound annual growth rate (CAGR) of 20.9% during the forecast period (2023 - 2032).


Embedded AI Market, commonly known as Embedded Artificial Intelligence (EAI), is a general-purpose AI framework system. It is embedded into network devices and provides common model management, data gathering, and data preprocessing features for these devices' AI algorithm-based functions. It also has the ability to submit inference findings to AI algorithm-based functions. This completely exploits the sample data and computational capabilities of devices, while also providing benefits such as reduced data transfer costs, data security, and real-time inference and decision-making.


The market for Embedded AI Market is influenced by factors such as growing demand for intelligent and autonomous systems, increasing developments in Al and ML technologies enable better and smarter decisions, and Embedded Al is increasingly being used for industry-specific applications. The market offers several opportunities for industry players and new entrants to research and develop technological solutions that may provide the ability to solve problems in day-to-day business activities.    


FIGURE 1: EMBEDDED AI MARKET SIZE (2019-2032) (USD MILLION)


Embedded AI Market Overview


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Embedded AI Market Opportunity




  • Integration with cloud-based AI services for increased scalability




By 2025, half of cloud data centers will deploy advanced robots with artificial intelligence (AI) and machine learning (ML) capabilities. Cloud computing provides several advantages for AI. First is the scalability and flexibility of resources based on needs. This allows Embedded AI Market systems to handle fluctuations in data processing needs without impacting performance. Cloud offers a variety of pre trained models library for various tasks. This allows developers to quickly integrate AI functionalities into embedded devices without building models from scratch. Problems like restricted processing power, and storage capacity, among others are not likely on cloud platforms. Cloud platforms provide tools for Embedded AI Market systems for tracking and monitoring. Cloud AI services provide ready-made intelligence for the applications and workflows. AI Services easily integrate with the applications to address common use cases such as personalized recommendations, modernizing the contact centre, improving safety and security, and increasing customer engagement.


Few examples of Cloud based AI include Image and Video Recognition, Natural Language Processing (NLP), and Predictive Analytics among others. Cloud based AI services offer cost effectiveness by offering features based on needs, updating and training models as the infrastructure and tools are already provided. Integration of AI by cloud platforms is also facilitated easily. Cloud services have access to APIs (Application Programming Interfaces) that simplify the process of integrating AI into applications.


A growing opprtunity is the combination of cloud and edge computing for AI applications. Cloud platforms will handle complex tasks and model training, while edge devices will perform real-time, low-latency processing at the network's edge. Cloud services remove the need for on-site infrastructure management, reducing upfront costs associated with purchasing and maintaining hardware. 


Embedded AI Market Segment Insights


Embedded AI Market Offering Insights


Based on offering, the global Embedded AI Market is segmented into hardware, software and services. In 2023, the hardware segment is expected to have the largest market share. The hardware segment includes Embedded AI Market systems' physical components like processors, memory modules, sensors, and other electronic parts. To empower simulated intelligence capacities in implanted gadgets, equipment gives the essential network and computational power.


FIGURE 2: EMBEDDED AI MARKET SHARE BY OFFERING 2022 VS 2032 (USD MILLION)


EMBEDDED AI MARKET SHARE BY OFFERING


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Embedded AI Market Data Type Insights


Based on data type, the global Embedded AI Market is segmented into sensor data, image and video data, numeric data, caterogical data and others. Due to high level of reliability and accuracy, sensor data had the largest market share of XX percent in 2022. Information gathered from various embedded sensors, such as temperature, motion, proximity, and environmental sensors, is referred to as sensor data. This kind of information gives ongoing bits of knowledge into the actual world, empowering applications like natural checking, modern computerization, and brilliant home frameworks.


Embedded AI Industry Vertical Insights


The Embedded AI Market based on industry vertical has been bifurcated into BFSI, IT & telecom, retail & ecommerce, manufacturing, energy & utilities, transportation & logistics, healthcare & life sciences, media & entertainment, automotive and others. In 2022, the IT & telecom segment is expected to have the largest market share. In the IT and Telecom industry, implanted computer based intelligence is used for network improvement, prescient upkeep, client experience the executives, wise remote helpers, and online protection. Embedded AI Market is used by technology companies and telecom operators to increase network efficiency, automate customer support, and create novel services and applications.


Embedded AI Market Regional Insights


By region, the study segments the market into North America, Europe, Asia-Pacific, the Middle East, & Africa, and South America. North America had the greatest market share in 2022. North America stands as a pioneer in technological innovation, particularly in the field of AI. The region boasts a robust ecosystem of tech giants, startups, and research institutions driving the development of Embedded AI Market solutions. Silicon Valley, particular, serves as a hub for cutting edge-AI research and development. The presence of leading companies like Google, Microsoft, and Qualcomm among others further fuels innovation in embedded technologies.


In the North American region, Embedded AI Market is used extensively in healthcare, automotive, and consumer electronics industries. In medical services, implanted computer based intelligence fueled gadgets are altering patient consideration through remote checking, prescient examination, and customized therapy proposals. Also, the auto business is utilizing implanted man-made intelligence for independent driving elements, which improves the security and productivity on the streets.


FIGURE 3: EMBEDDED AI MARKET SHARE BY REGION 2022 VS 2032 (USD Million)


EMBEDDED AI MARKET SHARE BY REGION


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Asia Pacific is expected to be the fastest growing region in Embedded AI Market. Asia Pacific area is likewise seeing quick reception pace of Embedded AI Market reasoning in which implanted man-made intelligence is no special case. It is primarily powered by expansion of brilliant gadgets, quick urbanization, and expanding web infiltration. In a variety of industries, China, Japan, and South Korea are leading the way in AI innovation and development.


Europe is expected to be the second-largest market over the projection period. Europe is likewise at developing speed in Embedded AI Market, driven by serious areas of strength for an on moral simulated intelligence standards and information security guidelines like General Data Protection Regulation (GDPR). European nations focus on mindful artificial intelligence Advancement, zeroing in on straightforwardness, responsibility, and decency in artificial intelligence calculations.


Manufacturers in the region are at the forefront of the adoption of Embedded AI Market, incorporating AI-powered features into automobiles to improve safety, navigation, and driver assistance systems. Moreover, European medical care suppliers are progressively sending inserted man-made intelligence answers for illness analysis, customized therapy arranging, and medication disclosure.


The countries considered in the scope of the Embedded AI Market are the U.S, Canada, Mexico, Germany, France, UK, Italy, Spain, Poland, Netherlands, Rest of Europe, China, Japan, India, Australia, South Korea, Malaysia, Indonesia, Rest of Asia Pacific, Brazil, Argentina, Colombia, Rest of South America, Saudi Arabia, UAE, South Africa, and Rest of Middle East & Africa.


Embedded AI Market Key Players & Competitive Insights


The Embedded AI Market is expected to witness high competition as this technology helps industries to present and design product/services easily. Some of the key players in Embedded AI Market are Microsoft, Google, IBM, Siemens, AWS, NVIDIA, Intel, Qualcomm, STMicroelectronics, Oracle, Salesforce, NXP, Lattice, Octonion and HPE among others.


The competition in the Embedded AI Market is driven by various factors, including pricing, quality, delivery time, and the ability to offer customized solutions to customers. Moreover, partnerships and collaborations with other players in the industry, such as service providers and suppliers, are crucial for companies to remain competitive in the market. Mergers and acquisitions are also common in the Embedded AI Market, as companies seek to expand their reach and capabilities. Additionally, the growth of the vendors is dependent on market conditions, government support, and industrial development.


These companies are concentrating on developing Embedded AI Market products with powerful technologies, and these technology allows workers to execute activities in a 360-degree context. Although the international players dominate the market, regional and local players with small market shares also have a significant presence. Moreover, they are focusing on product development and expansion to expand their product portfolio and enhance their customer relationships. Additionally, the companies are investing in the development of new and innovative AI solution.


Key Companies in the Embedded AI Market includes



  • Microsoft

  • Google

  • IBM

  • Siemens

  • AWS

  • NVIDIA

  • Intel

  • Qualcomm

  • STMicroelectronics

  • Oracle

  • Salesforce

  • NXP

  • Lattice

  • Octonion

  • HPE


Embedded AI Industry Developments


In March 2024, Oracle announced new generative AI capabilities within the Oracle Fusion Cloud Applications Suite that will help customers improve decision making and enhance the employee and customer experience. The latest AI additions include new generative AI capabilities embedded in existing business workflows across finance, supply chain, HR, sales, marketing, and service, as well as an expansion of the Oracle Guided Journeys’ extensibility framework to enable customers and partners to incorporate more generative AI capabilities to support their unique industry and competitive needs..


In April 2024, Cloud Software Group Inc. and Microsoft Corp. announced they are deepening their collaboration through an eight-year strategic partnership agreement. The agreement will support the development of new cloud and AI solutions with an integrated product roadmap and strengthen the go-to-market collaboration for the Citrix virtual application and desktop platform.


In June 2021, Determined AI, a San Francisco startup was acquired by Hewlett Packard Enterprise. The latter creates an open-source AI platform for building machine learning models. This is useful as its open-source ML platform will help HPE remove complexity and make production time faster.


Embedded AI Market Model Segmentation


Embedded AI Market Offering Outlook



  • Hardware

  • Software

  • Services


Embedded AI Market Data Type Outlook



  • Sensor Data

  • Image and Video Data

  • Numeric Data

  • Caterogical Data

  • Others


Embedded AI Industry Vertical Outlook



  • BFSI

  • IT & Telecom

  • Retail & Ecommerce

  • Manufacturing

  • Energy & Utilities

  • Transportation & Logistics

  • Healthcare & Life Sciences

  • Media & Entertainment

  • Automotive

  • Others


Embedded AI Market Regional Outlook



  • North America

    • US

    • Canada



  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Poland

    • Netherlands

    • Rest of Europe



  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Australia

    • Malaysia

    • Indonesia

    • Rest of Asia-Pacific



  • Middle East & Africa

    • Saudi Arabia

    • UAE

    • South Africa

    • Rest of Middle East & Africa



  • South America

    • Brazil

    • Argentina

    • Colombia

    • Rest of South America



Leading companies partner with us for data-driven Insights
client_1 client_2 client_3 client_4 client_5 client_6 client_7 client_8 client_9 client_10
Kindly complete the form below to receive a free sample of this Report
Please fill in Business Email for Quick Response

We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

Purchase Option
Single User $ 4,950
Multiuser License $ 5,950
Enterprise User $ 7,250
Compare Licenses
Tailored for You
  • Dedicated Research on any specifics segment or region.
  • Focused Research on specific players in the market.
  • Custom Report based only on your requirements.
  • Flexibility to add or subtract any chapter in the study.
  • Historic data from 2014 and forecasts outlook till 2040.
  • Flexibility of providing data/insights in formats (PDF, PPT, Excel).
  • Provide cross segmentation in applicable scenario/markets.