The Business Research Company’s report on the On-Device Intelligence Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
How have key drivers contributed to the rapid growth of the on-device intelligence market?
The growing adoption of Internet of Things (IoT) devices is expected to propel the growth of the on-device intelligence market going forward. IoT devices refer to physical objects embedded with sensors, software, and connectivity features that enable them to collect, transmit, and exchange data over the internet. The adoption of IoT devices is due to advancements in connectivity, declining sensor costs, and growing adoption across industries for automation and real-time data insights. On-device intelligence enhances IoT devices by enabling real-time data processing, reducing latency, improving security, and minimizing reliance on cloud connectivity for faster and more efficient decision-making. For instance, in January 2022, according to the GSM Association, a UK-based non-profit industry organization, the global Internet of Things (IoT) connections would surge to 23.3 billion by 2025, a notable increase from the 15.1 billion connections recorded in 2021. Therefore, the growing adoption of IoT devices drives the growth of the on-device intelligence market.
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How has the on-device intelligence market size evolved, and what are the latest forecasts for its expansion?
The on device intelligence market size has grown exponentially in recent years. It will grow from $49.96 billion in 2024 to $60.14 billion in 2025 at a compound annual growth rate (CAGR) of 20.4%. The growth in the historic period can be attributed to increasing adoption of smartphones & tablets, increasing demand for AI-powered features, cost reduction by using on-device intelligence, increasing internet penetration, and increasing demand for real-time data processing.
The on device intelligence market size is expected to see exponential growth in the next few years. It will grow to $125.17 billion in 2029 at a compound annual growth rate (CAGR) of 20.1%. The growth in the forecast period can be attributed to the rise of self-driving vehicles, growing adoption of smart devices and the Internet of Things (IoT), increasing demand for personalized and contextual experiences, government initiatives and support, and growing adoption of smart homes. Major trends in the forecast period include technological advancements, ongoing research and development in the technology, increasing demand for AI-powered features such as facial recognition and augmented reality, growing investment in artificial intelligence, and advancements in sensing and perception.
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Which major companies dominate the on-device intelligence market?
Major companies operating in the on-device intelligence market are Amazon.com Inc., Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Sony Corporation, Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation, Qualcomm Incorporated, Broadcom Inc., Micron Technology Inc., NVIDIA Corporation, Texas Instruments Incorporated, MediaTek Inc., Rockwell Automation Inc., Xilinx Inc., ARM Holdings plc, Cypress Semiconductor Corporation, Robert Bosch GmbH, Vuzix Corporation
What trends will shape the future of the offshore software development market?
Major companies operating in the on-device intelligence market are focusing on developing innovative technologies, such as GenAI features, to enhance real-time processing, improve user personalization, strengthen data security, and reduce dependence on cloud computing for faster and more efficient AI-driven experiences. GenAI features refer to advanced artificial intelligence capabilities that enable machines to generate human-like content, such as text, images, audio, and code, based on learned patterns from vast datasets. For instance, in September 2024, Apple Inc., a US-based technology company, launched the iPhone 16 series, powered by the new A18 Bionic chip based on the Arm V9 architecture. The A18 Bionic chip in the iPhone 16 series is designed to enhance on-device intelligence by enabling more sophisticated, faster, and power-efficient AI-driven features. This chip allows for the integration of Apple Intelligence, a suite of advanced AI features that enhance the user experience by providing smart functionalities like text rewriting, proofreading, and summarizing content across apps such as mail, notes, and pages, as well as audio transcription and summarization in the Phone and Notes apps.
Which region dominates the on-device intelligence market, and what factors contribute to its leadership?
North America was the largest region in the on device intelligence market in 2024. The regions covered in the on-device intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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How is the on-device intelligence market segmented, and which segment holds the largest share?
The on-device intelligence market covered in this report is segmented –
1) By Technology: Machine Learning, Internet Of Things, Other Technologies
2) By Application: Smartphones And Tablets, Wearables, Personal Computers (PCs) And Laptops, Other Applications
3) By End-User: Consumers, Healthcare, Retail and E-commerce, Industrial Sector, Other End-Users
Subsegments:
1) By Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning
2) By Internet of Things: Smart Home, Industrial IoT, Automotive IoT, Healthcare IoT
3) By Other Technologies: Edge Computing, Natural Language Processing (NLP), Computer Vision
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How is the on-device intelligence market defined?
On-device intelligence refers to the ability of a device to process and analyze data locally using built-in AI and machine learning models rather than relying on cloud computing. This approach enhances privacy, speed, and efficiency by reducing the need for data transmission to external servers. It enables real-time language translation, facial recognition, predictive text, and personalized recommendations while maintaining user data security.
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