GVR Report cover Mobile Artificial Intelligence Market Size, Share & Trends Report By Technology Node (7 nm, 10 nm, 20-28 nm And Others), By Application (Smartphones, Cameras, Drones), By Region, And Segment Forecast, 2023 - 2030Report

Mobile Artificial Intelligence Market Size, Share & Trends Report By Technology Node (7 nm, 10 nm, 20-28 nm And Others), By Application (Smartphones, Cameras, Drones), By Region, And Segment Forecast, 2023 - 2030

  • Report ID: GVR-4-68040-081-6
  • Number of Report Pages: 117
  • Format: PDF, Horizon Databook
  • Historical Range: 2017 - 2021
  • Forecast Period: 2023 - 2030 
  • Industry: Technology

Report Overview

The global mobile artificial intelligence market size was valued at USD 13.40 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 26.9% from 2023 to 2030. 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.

Asia Pacific mobile artificial intelligence (AI) market size and growth rate, 2023 - 2030

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 2022, 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.

Technology Node Insights

The 10 nm segment led the market in 2022, 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.

Application Insights

The smartphone segment dominated the market and accounted for more than 36.97% share of the global revenue in 2022. 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.

Global mobile artificial intelligence (AI) market share and size, 2022

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.

Regional Insights

North America is estimated to hold the leading share of 30.8% of the global revenue in 2022. 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.

Mobile Artificial Intelligence Market Trends, by Region, 2023 - 2030

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.

Key Companies & Market Share Insights

Apple Inc., Qualcomm Inc., Microsoft Corporation, and other prominent mobile artificial intelligence (AI) competitors have profiles and competitive analyses. Qualcomm, MediaTek Inc. (Taiwan), NVIDIA Corporation (the United States), Intel Corporation (the United States), IBM Corporation (the United States), Huawei Technologies (China), and others are concentrating their investments on developing technologically sophisticated, more affordable, and secure products and solutions for diverse applications.

The merging and acquisitions and innovation of new products by major key players in the market are augmenting the market growth, for instance. In March 2023,Qualcomm Technologies, Inc. revealed the Snapdragon 7+ Gen 2 Mobile Platform, which offers premium experiences that are unique to the Snapdragon 7-series. 4K HDR videography, low-light photography quick, uninterrupted gaming, AI-enhanced experiences, and quick 5G and Wi-Fi networking are all made possible by the Snapdragon 7+ Gen 2's exceptional CPU and GPU capabilities are augmenting segment growth. Some prominent players in the global mobile artificial intelligence (AI) market include:

  • Qualcomm Inc

  • Nvidia

  • Intel Corporation

  • IBM Corporation

  • Microsoft Corporation

  • Apple Inc

  • Huawei (Hisilicon)

  • GoogleLLC

  • 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

Recent Developments

  • In May 2023, IBM Watson technology was embedded into SAP® solutions to provide new AI-driven insights. This was planned to accelerate innovation and create more efficient and effective user experiences across the SAP solution portfolio.

  • In February 2023, Telefónica, Ericsson, and Qualcomm launched the first commercial mobile 5G mmWave network in Spain. The utilization of the 5GmmWAve spectrum is ideal for achieving fast speeds & large capacity, and providing the greatest 5G experience in busy regions, which thereby opens new growth avenues in the mobile AI market.

  • In February 2023, Qualcomm launched an AI-powered video conferencing solution. AI-powered video conferencing solutionsoffer more engaging and immersive hybrid video conferencing experiences.

Mobile Artificial Intelligence (AI) Market Report Scope

Report Attribute


Market size value in 2023

USD 16.03 billion

Revenue forecast in 2030

USD 84.97 billion

Growth Rate

CAGR of 26.9% from 2023 to 2030

Base year for estimation


Historical data

2017 - 2021

Forecast period

2023 - 2030

Quantitative units

Revenue in USD billion and CAGR from 2023 to 2030

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Segments covered

Technology node, application, region

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

U.S.; Canada; U.K.; Germany; France; China; Japan; India; South Korea; Australia; Brazil; Mexico; KSA; UAE; South Africa

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

Customization scope

Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional, and segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options


Global Mobile Artificial Intelligence Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global mobile artificial intelligence (AI) market report based on technology node, application, and region:

  • Technology Node Outlook (Revenue, USD Billion, 2017 - 2030)

    • 7 nm

    • 10 nm

    • 20-28 nm

    • Others (12 nm and 14 nm)

  • Application Outlook (Revenue, USD Billion, 2017 - 2030)

    • Smartphones

    • cameras

    • Drones

    • Automobile

    • Robotics

    • AR/VR

    • Others (smart boards, Laptops, PCs)

  • Regional Outlook (Revenue, USD Billion, 2017 - 2030)

    • North America

      • U.S.

      • Canada

    • Europe

      • Germany

      • France

      • U.K.

    • Asia Pacific

      • China

      • Japan

      • India

      • South Korea

      • Australia

    • Latin America

      • Brazil

      • Mexico

    • Middle East & Africa

      • Kingdom of Saudi Arabia (KSA)

      • UAE

      • South Africa

Frequently Asked Questions About This Report

gvr icn


gvr icn

This FREE sample includes data points, ranging from trend analyses to estimates and forecasts. See for yourself.

gvr icn


We can customize every report - free of charge - including purchasing stand-alone sections or country-level reports, as well as offer affordable discounts for start-ups & universities. Contact us now

Certified Icon

We are GDPR and CCPA compliant! Your transaction & personal information is safe and secure. For more details, please read our privacy policy.