July 2022
07 Oct 2024
The global edge AI market was evaluated USD 17.51 billion in 2023 and is anticipated to attain around USD 118.19 billion by 2033, poised to grow at a CAGR of 21.04% during the forecast period. The increasing demand of artificial intelligence, loT & 5G technologies from various industries are fuelling the Edge AI market. The market growth is attributed due to growing adoption of smart homes and smart cities. Additionally, market is driven by growing enhancements in edge computing technologies.
The growing demand of autonomous vehicles and robotics are driving the global edge AI market. It resulted as, increasing demand for Cutting-edge artificial intelligence and machine learning due to their characteristics of decision-making in autonomous driving. Additionally, adaption of robots increased in order to reduce latency and increase speed. Additionally, the utilization of robotic system in healthcare has been increased.
Healthcare sectors has been rapidly adapting artificial intelligence to gain exact output results. Industries are been focusing on enhancing developments of modern wearable devices for growing personalized healthcare solutions. Edge AI have ability of studying data in real-time and provides quick decisions and conclusions for each patient and healthcare professional. The demand of Wearable devices, imaging equipment, and medical sensors has increased in healthcare sector.
Increasing demand of loT technologies are driving the edge AI market
In order to lower latency and improve operational efficiency, the one device data processing becoming more and more important, which leading various sectors to increase the demand of loT technologies. Additionally, loT technologies being in demand due to its capacity of monitoring health, default detection and enhancing the manufacturing process. Edge AI technologies are specifically essentials for sectors like manufacturing and autonomous driving which need for decision-making abilities in real-time.
However, limitation of processing power and connectivity of several edge AI devices can restraint the market growth. Additionally, workload accelerators, like as Graphical Processing and Data Processing Units, for operating several AI models, are quite expensive and large for usage in small form factor because of its physical constraints.
However, companies are focusing on continuing in advancement of technologies which are optimizing the cost for edge AI modules. Novel AI modules are able to transfer the data to cloud which is cost-saving process. Businesses are targeting standard AI features to reduce the cost. Importance of edge AI devices in healthcare, small cities retails are expected to expand the global market growth.
Recent Developments
Recent breakthrough by Edge Impulse in edge AI market
Company Name | Edge Impulse |
Headquarters | San Jose, California, United States |
Recent Developments | In March 2024, Edge Impulse has launched the direct connection with Arm ® Keil ® MDK. This offers the access to advanced AI and machine learning patterns and helpful for embedded engineers to work with other multidisciplinary teams to create edge AI solutions. |
Company Name | STMicroelectronics |
Headquarters | Geneva, Switzerland |
Recent Developments | In June 2024, ST Edge AI Suite was launched by STMicroelectronics. These products have ability of easy creating machine learning and AI projects to run on edge devices which are powered by the microcontrollers of company. |
North America accelerated to continue dominating the edge AI market with continue focus on advancement in technologies, and presence of competitive landscape in the region. Countries like Canada and United States are dominating the market in region due to increased adaption of modern technologies like machine learning, artificial intelligence, deep learning. Additionally, Government of United States is encouraging the adaption of AI across the nation.
Asia Pacific is projected as the fastest growing region for the edge AI market. Increasing adaption of loT and 5G technologies are expanding the market in region. China holds the largest share of market growth in the region with availability of manufacture, electronic and automobile companies in the country. Additionally, South Korean Government is encouraging the enhanced cutting-edge research to improve countries R&D activities in artificial intelligence sector.
Edge AI hardware’s have projected as the greatest opportunities for market growth in forecast period. For reduce and time acceleration of data processing of specialized hardware from the CPU are becoming common in edge computing and AL/ML workloads, which indicates dependency the flexibility and performance on effective procedure of huge amounts of data, that prioritising the adaption of compact and powerful processors like DPUs. This effectiveness is particular to use in edge computing atmosphere where GPU solutions use as high energy consumption which can be restricted due to power constraints. The adaption of hardware solutions and their room for developments can lead the new doors for market to grow.
Additionally, increased use of wearables devices, smartphones and smartwatches are likely to develop the growth of edge AI market in forecast period. Smartphones with AI-at-the-edge offers various advantages for users, like fast learning and longer life. This adaption has led advancements in chipsets like GPU, ASIC, FPGA, and CPU.
In for generative AI, Advantech launched the Edge AI Server Solution called AIR-520 Edge in June 2024. These solutions encourage huge language models to combine with 1-4 GPU cards and Sqai100 AI SSDs, also encourage organizations for training with LLM cost-effectively.
Report Attribute | Key Statistics |
Market Revenue in 2024 | USD 21.19 Billion |
Market Revenue by 2033 | USD 118.19 Billion |
CAGR | 21.04% |
Quantitative Units | Revenue in USD million/billion, Volume in units |
Largest Market | North America |
Base Year | 2023 |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Market Segmentation
By Component
By End-user Industry
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