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 Overview

The globalmobile artificial intelligence market sizewas valued atUSD 13.40 billion in 2022and 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.

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

2022年10 nm引领市场,/ng 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.

增长最快的segmen 7纳米技术节点t 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.

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.

亚太地区市场预计将增长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

Mobile Artificial Intelligence (AI) MarketReport Scope

Report Attribute	Details
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	2022
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	北美;欧洲;亚太地区;拉丁美洲; 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

  • 拉丁美洲

    • Brazil

    • Mexico

  • Middle East & Africa

    • Kingdom of Saudi Arabia (KSA)

    • UAE

    • South Africa