Mobile Artificial Intelligence Market Size Report, 2025-2034
The mobile artificial intelligence market size was exhibited at USD 20.22 billion in 2024 and is projected to hit around USD 205.67 billion by 2034, growing at a CAGR of 26.11% during the forecast period 2025 to 2034.
| Report Coverage | Details |
| Market Size in 2025 | USD 25.49 Billion |
| Market Size by 2034 | USD 205.67 Billion |
| Growth Rate From 2025 to 2034 | CAGR of 26.11% |
| Base Year | 2024 |
| Forecast Period | 2025-2034 |
| Segments Covered | Technology Node, Application, Region |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Regional scope | North America; Europe; Asia Pacific; Latin America; MEA |
| Key Companies Profiled | Qualcomm; Nvidia; Intel; IBM; Microsoft; Apple; Huawei (Hisilicon); Alphabet (Google); Mediatek; Samsung; Cerebras Systems; Graphcore; Cambricon Technology; Shanghai Thinkforce Electronic Technology Co.; Ltd (Thinkforce); Deephi Tech; Sambanova Systems; Rockchip (Fuzhou Rockchip Electronics Co., Ltd.); Thinci; Kneron |
The vast expansion in connectivity with the rollout of 5G and the IoT enables organizations and individuals to collect more real-world data in real-time. This data can be used to improve artificial intelligence (AI) systems further so that they become increasingly sophisticated and capable. These technologies can produce a powerful virtuous circle that can generate massive socio-economic benefits.
The emerging use of drones is rising quickly for several reasons, including more venture capital financing, demand for drone-generated data for commercial uses, and quickening technology development. Artificial intelligence (Al) is projected to fuel the next generation of drones, enabling them to function autonomously and make choices without human supervision. Drones are cameras and sensors that send information into vision processing units (VPUs), which are tiny circuits. A drone's VPU processor and sophisticated algorithms are applied. These computers improve drone machine vision applications, including object identification, gesture mode, safe landing, 3D mapping, and contextual awareness.
Moreover, the rise of edge computing is anticipated to present possibilities for the mobile artificial intelligence (AI) sector. The AI implementations in various companies have changed around the world. As more corporate-wide initiatives take hold, cloud computing has become a crucial part of the development of AI. Businesses are becoming more aware of the need to get necessary computing onto the device as customers spend more time on their smartphones. This is why edge computing will continue to accelerate in the next few years.
Due to the large number of participants in most of the world's markets, the market for mobile devices is relatively fragmented. Complex algorithms, the building blocks of artificial intelligence, are expanding quickly in the market today. Many industries use artificial intelligence, which makes it simple to access algorithms for complex systems and increases market competition. Key players are Microsoft Corporation, Intel Corporation, Alphabet Inc. (Google LLC), etc.
In March 2024, Nvidia Corp. demonstrated new hardware and software that can handle complex AI algorithms more quickly. The H100 chip and an advanced processor chipset identified as the CPU Superchip, both built on the technology of British chip maker Arm Ltd., were among the new graphic processors (GPU) that the company presented in detail and that would form the basis of AI infrastructure. It is Nvidia's first Arm-based chip following the failure of its deal to acquire Arm last month.
The 10 nm segment led the market in 2024, accounting for over 44.56% revenue share of the global revenue. Emerging innovations by key players are fueling the segment growth. For instance, Intel's 10nm node is a manufacturing technology that depends on a 13-layer metallization stack and FinFET transistors. The key technologies intended to enable Hyper Scaling include contact overactive gates, the use of cobalt interconnects for the 2 layers to reduce resistance at that area by 52% and decrease electro migration by 6x-10x to shrink interconnects, SAQP for selected metal layers at the rear end of the line, self-aligned quadruple patterning for Fin formation, and self-affiliated double patterning for gate construction at the front end of the line.
7 nm technology node is the fastest-growing segment accounting for 32.5% CAGR growth over the forecast period.The PPA, which is the main ask of the Mobile, handheld device and processor industry is augmenting the mobile artificial intelligence (AI) market. It is evident from the fact that Although Qualcomm is already shipping parts made with the 7nm process for its Snapdragon chips, Apple announced its A13 Bionic chip used in the iPhone 11 in February 2019.
The smartphone segment dominated the market and accounted for more than 37.0% share of the global revenue in 2024. Rapid growth in smartphones across the globe is augmenting market growth. Numerous ground-breaking applications in the fields of manufacturing, transportation, and video games are powered by artificial intelligence. In smartphones, AI takes center stage and extends far beyond features like digital assistants. With the advent of Edge-AI technology, many backend AI capabilities for profiling may now be transferred to the phone itself, accelerating market expansion.
Popular interest in virtual and augmented reality has lately increased due to increased development in VR technology and devices based on smartphones. Virtual reality (VR) is a relatively new technology. Virtual reality technologies, such as VR technology with sports training, simulation, and smartphone technology, may be dynamically duplicated using computer hardware, software, and technology. VR may also be used in IoT, crypto chips, home systems, Industry 4.0, and other applications. This approach can benefit from the use of AI algorithms. High resource integrity and node privacy are necessary to prevent security threats, and AI can offer a solution, particularly when utilized in gaming applications to boost market development.
North America is estimated to hold the leading share of 30.8% of the global revenue in 2024. It is attributable to the prevalence of large number of market players in the countries in the region. Also, due to various developments made by companies, the region is expected to lead in technology adoption and be home to major AI solution providers for mobile applications based in North America, driving the market to grow significantly in the forecast period. Artificial intelligence and the Internet of Things are becoming more common in many industries, and intelligent automation technologies are becoming more popular. This is increasing the need for mobile AI in the area.
The market in Asia Pacific is projected to grow at the highest CAGR during the forecast period. The significant presence of automotive, electronics, and semiconductor businesses in China and Japan, together with a vast number of manufacturing firms, is fueling the expansion of the mobile ALM market in the Asia Pacific region. APAC has enormous promise for technologies like cell phones, industrial robots, and automobiles. The use of smartphones using Al processors is anticipated to rise in the Asia Pacific in the upcoming years due to the increasing smartphone penetration in nations like China, Japan, India, and South Korea. To speed up Al processes, visual processing units are integrated into smartphones, security cameras, and wearable technology, and Asia Pacific is one of their biggest markets.
This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2034. For this study, Nova one advisor, Inc. has segmented the mobile artificial intelligence market
By Technology Node
By Application
By Regional
Cross-segment Market Size and Analysis for Mentioned Segments
Additional Company Profiles
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Additional Countries (Apart
From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers