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市场调查报告书
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移动人工智能 (AI) 市场规模、份额和趋势报告：按技术节点、按应用、按地区、细分市场预测，2023-2030 年

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
出版日期: | 出版商: Grand View Research | 英文 117 Pages | 商品交期: 2-10个工作天内

价格

移动人工智能 (AI) 市场增长和趋势

GrandView Research, Inc.最新报告显示，预计2030年全球移动人工智能市场规模将达到849.7亿美元，2023年至2030年復合年增长率为26.9%。

由于多种因素，近年来市场增长显着。市场驱动因素之一是移动设备处理能力的增强。现代智能手机和平板电脑配备了强大的处理器和图形处理单元 (GPU)，可以高效运行人工智能算法和模型。

推动移动人工智能（AI）市场增长的另一个因素是人工智能工具和框架的卓越可用性。许多流行的人工智能框架（例如 TensorFlow、PyTorch 和 Keras）都有移动版本，允许开发人员在移动设备上构建和部署人工智能模型。移动人工智能应用正在医疗、金融、教育和娱乐领域得到应用，以提高效率、准确性和用户体验。例如，移动人工智能分析医学图像、检测金融交易中的欺诈行为并提供个性化的学习体验。此外，新的数据收集也是市场增长的主要驱动力。移动设备会生成大量数据，例如图像、视频和文本，可用于训练人工智能模型。物联网 (IoT) 的发展通过从传感器和连接设备等各种来源生成数据，有助于提高数据可用性。

总体而言，随着人工智能技术变得更加先进和易于使用，以及移动设备变得更加强大和普遍，移动人工智能预计将继续增长。移动人工智能可应用于多种领域，有潜力改变各行各业，改善全世界人民的生活。移动人工智能应用的示例包括语音识别、图像和视频识别、自然语言处理和预测分析。

最近，对各种基于人工智能的技术的投资有所增加。这一因素正在推动全球移动人工智能市场的发展。全球对具有人工智能功能的处理器不断增长的需求也推动了市场的发展。多个国家政府实施了各种优惠政策来支持创业文化。因此，国际市场对移动AI的需求日益增长。智能手机、相机、无人机、AR/VR、汽车、机器人等是该市场中使用产品的一些关键行业。有限的人工智能专家和昂贵的人工智能处理器是限制该行业扩张的两个因素。相比之下，物联网中的边缘计算、移动设备中的低成本视觉应用以及相机的人工智能芯片将产生需求。

移动人工智能 (AI) 市场报告亮点

  • 10纳米技术节点领域将在2022年引领市场，占全球收入的44.73%以上。这一增长归因于市场上智能手机的显着增长和数字化。
  • 随着移动设备处理能力的不断增强和边缘计算的出现，人工智能模型现在可以部署在设备本身而不是云端。这被称为边缘计算，可以实现更快、更高效的数据处理。
  • 增强现实（AR）的显着增长以及数字信息在现实世界中的迭加正在推动市场的增长。移动人工智能被用来开发 AR 应用程序，可以识别物体并实时提供有关它们的信息。
  • 2022年，北美地区的销售份额将最大，超过30.77%。该地区正在大力投资移动人工智能

目录

第一章 调查方法和范围

  • 调查方法
  • 调查范围和假设
  • 数据源列表
  • 缩略语表

第二章执行摘要

  • 市场快照
  • 段快照
  • 竞争格局的快照

3.移动人工智能（AI）市场变量、趋势和范围

  • 市场细分
  • 采用和增长前景图
  • 价值链分析
  • 市场动态
    • 市场驱动力分析
    • 市场约束因素分析
    • 市场机会分析
  • 营商环境分析
    • 波特的分析
    • PESTLE分析

第四章移动人工智能（AI）市场：技术节点预估及趋势分析

  • 2022 年和 2030 年产品变化分析和市场份额
  • 7nm
    • 2017-2030 年市场估计和预测
  • 10nm
    • 2017-2030 年市场估计和预测
  • 20-28纳米
    • 2017-2030 年市场估计和预测
  • 其他（12nm至14nm）
    • 2017-2030 年市场估计和预测

第五章移动人工智能（AI）市场：应用预估与趋势分析

  • 2022 年和 2030 年应用变化分析和市场份额
  • 手机
    • 2017-2030 年市场估计和预测
  • 相机
    • 2017-2030 年市场估计和预测
  • 无人机
    • 2017-2030 年市场估计和预测
  • 汽车
    • 2017-2030 年市场估计和预测
  • 机器人技术
    • 2017-2030 年市场估计和预测
  • 增强现实/虚拟现实
    • 2017-2030 年市场估计和预测
  • 其他（智能板、笔记本电脑、个人电脑）
    • 2017-2030 年市场估计和预测

第六章移动人工智能（AI）市场：按地区估算及趋势分析

  • 2022 年和 2030 年区域差异分析和市场份额
  • 北美
    • 2017-2030 年市场估计和预测
    • 美国
    • 加拿大
  • 欧洲
    • 2017-2030 年市场估计和预测
    • 德国
    • 法国
    • 英国
  • 亚太地区
    • 2017-2030 年市场估计和预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳大利亚
  • 拉丁美洲
    • 2017-2030 年市场估计和预测
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 2017-2030 年市场估计和预测
    • 沙特阿拉伯王国
    • 阿拉伯联合酋长国
    • 南非

第 7 章 竞争分析

  • 全球主要参与者、最新发展及其对行业的影响
  • 主要公司/竞争对手的分类（主要创新者、市场领导者、初创企业）
  • 供应商情况
    • 2022 年主要参与者的市场份额分析

第八章公司简介

  • 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
Product Code: GVR-4-68040-081-6

Mobile Artificial Intelligence Market Growth & Trends

The global mobile artificial intelligence market is anticipated to reach USD 84.97 billion by 2030, registering a CAGR of 26.9% from 2023 to 2030, according to a new report by Grand View Research, Inc. The market growth has been significant in recent years due to several factors. One of the major drivers augmenting the market is the increasing processing power of mobile devices. Modern smartphones and tablets have powerful processors and graphics processing units (GPUs) that can efficiently run AI algorithms and models.

Another factor fueling the market growth of mobile artificial intelligence (AI) is the prominent availability of AI tools and frameworks. Many popular AI frameworks, such as TensorFlow, PyTorch, and Keras, have mobile versions that allow developers to build and deploy AI models on mobile devices. Mobile AI applications are used in healthcare, finance, education, and entertainment to improve efficiency, accuracy, and user experience. For instance, mobile AI analyzes medical images, detects fraud in financial transactions, and provides personalized learning experiences. Moreover, emerging data collection is also a significant factor in market growth. Mobile devices generate vast amounts of data, such as images, videos, and text, which can be used to train AI models. The growth of the Internet of Things (IoT) contributes to data availability by generating data from various sources, such as sensors and connected devices.

Overall, the growth of mobile AI is expected to continue as AI technology becomes more advanced and accessible and as mobile devices become more powerful and ubiquitous. It has the potential to transform various industries and improve the lives of people around the world, as its applications can be used in various domains. Some examples of mobile AI applications include speech recognition, image and video recognition, natural language processing, and predictive analytics.

Investments in various AI-based technologies have increased recently. This element is driving the global market for mobile AI. The rise in demand for processors with AI capabilities on a worldwide scale is another factor driving the market. Several nations' governments are implementing various advantageous policies to support the start-up culture. This reason is increasing the need for mobile AI in the international market. Smartphones, Cameras, drones, AR/VR, automobiles, and robots are a few of the significant industries in which items from the market is used. Limited AI Experts and Expensive AI Processors are the two factors limiting industry expansion. In contrast, the potential includes prominent demand for Edge Computing in IoT and Low-Cost vision applications in mobile devices and AI chips for cameras.

Mobile Artificial Intelligence (AI) Market Report Highlights

  • The 10 nm technology node segment led the market in 2022, accounting for over 44.73% share of the global revenue. The growth is attributed to the prominent growth of smartphones and digitalization in the market
  • The emergence of edge computing with increasing processing power of mobile devices, AI models can now be deployed on the device itself, rather than in the cloud. This is known as edge computing and allows for faster and more efficient processing of data
  • The prominent growth of Augmented reality (AR) and the overlay of digital information on the real world is fueling the market growth. Mobile AI is being used to develop AR applications that can recognize objects and provide information about them in real-time
  • North America had the largest revenue share of over 30.77% in 2022. Due to major investment in mobile AI in the region

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Scope & Assumptions
  • 1.3. List of Data Sources
  • 1.4. List of Abbreviations

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segment Snapshot
  • 2.3. Competitive Landscape Snapshot

Chapter 3. Mobile Artificial Intelligence (AI) Market Variables, Trends & Scope

  • 3.1 Market Segmentation
  • 3.2 Penetration & Growth Prospect Mapping
  • 3.3 Value Chain Analysis
  • 3.4 Market Dynamics
    • 3.4.1 Market Driver Analysis
    • 3.4.2 Market restraint Analysis
    • 3.4.3 Market Opportunities Analysis
  • 3.5 Business Environment Analysis
    • 3.5.1 Porter's Analysis
      • 3.5.1.1 Threat of new entrants
      • 3.5.1.2 Bargaining power of suppliers
      • 3.5.1.3 Bargaining power of buyers
      • 3.5.1.4 Threat of substitutes
      • 3.5.1.5 Competitive rivalry
    • 3.5.2 PESTLE Analysis
      • 3.5.2.1 Political Landscape
      • 3.5.2.2 Environmental Landscape
      • 3.5.2.3 Social Landscape
      • 3.5.2.4 Technology Landscape
      • 3.5.2.5 Economic Landscape
      • 3.5.2.6 Legal Landscape

Chapter 4. Mobile Artificial Intelligence (AI) Market: Technology Node Estimates & Trend Analysis

  • 4.1. Product Movement Analysis & Market Share, 2022 & 2030
  • 4.2. 7 nm
    • 4.2.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 4.3. 10 nm
    • 4.3.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 4.4. 20-28 nm
    • 4.4.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 4.5. Other (12 nm to 14 nm)
    • 4.5.1. Market estimates and forecast, 2017 - 2030 (USD Billion)

Chapter 5. Mobile Artificial Intelligence (AI) Market: Application Estimates & Trend Analysis

  • 5.1. Application Movement Analysis & Market Share, 2022 & 2030
  • 5.2. Smartphones
    • 5.2.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.3. Cameras
    • 5.3.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.4. Drones
    • 5.4.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.5. Automobile
    • 5.5.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.6. Robotics
    • 5.6.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.7. AR/VR
    • 5.7.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
  • 5.8. Others (Smart boards, laptops, PCs)
    • 5.8.1. Market estimates and forecast, 2017 - 2030 (USD Billion)

Chapter 6. Mobile Artificial Intelligence (AI) Market: Regional Estimates & Trend Analysis

  • 6.1. Regional Movement Analysis & Market Share, 2022 & 2030
  • 6.2. North America
    • 6.2.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
    • 6.2.2. U.S.
    • 6.2.3. Canada
  • 6.3. Europe
    • 6.3.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
    • 6.3.2. Germany
    • 6.3.3. France
    • 6.3.4. U.K.
  • 6.4. Asia Pacific
    • 6.4.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
    • 6.4.2. China
    • 6.4.3. Japan
    • 6.4.4. India
    • 6.4.5. South Korea
    • 6.4.6. Australia
  • 6.5. Latin America
    • 6.5.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
    • 6.5.2. Brazil
    • 6.5.3. Mexico
  • 6.6. Middle East & Africa
    • 6.6.1. Market estimates and forecast, 2017 - 2030 (USD Billion)
    • 6.6.2. Kingdom of Saudi Arabia
    • 6.6.3. UAE
    • 6.6.4. South Africa

Chapter 7. Competitive Analysis

  • 7.1. Key Global Players, Recent Developments & Their Impact on the Industry
  • 7.2. Key Company/Competition Categorization (Key Innovators, Market Leaders, Emerging Players)
  • 7.3. Vendor Landscape
    • 7.3.1. Key company market share analysis, 2022

Chapter 8. Company Profiles

  • 8.1. Qualcomm
  • 8.2. Nvidia
  • 8.3. Intel
  • 8.4. IBM
  • 8.5. Microsoft
  • 8.6. Apple
  • 8.7. Huawei (Hisilicon)
  • 8.8. Alphabet (Google)
  • 8.9. Mediatek
  • 8.10. Samsung
  • 8.11. Cerebras Systems
  • 8.12. Graphcore
  • 8.13. Cambricon Technology
  • 8.14. Shanghai Thinkforce Electronic Technology Co., Ltd(Thinkforce)
  • 8.15. Deephi Tech
  • 8.16. Sambanova Systems
  • 8.17. Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
  • 8.18. Thinci
  • 8.19. Kneron

List of Tables

  • Table 1. Mobile Artificial Intelligence (AI) Market - Key Market Driver Analysis
  • Table 2. Mobile Artificial Intelligence (AI) Market - Key Market Restraint Analysis
  • Table 3. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Nodes, from 2017 - 2030 (USD Billion)
  • Table 4. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, from 2017 - 2030 (USD Billion)
  • Table 5. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Smartphones, from 2017 - 2030 (USD Billion)
  • Table 6. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Cameras, from 2017 - 2030 (USD Billion)
  • Table 7. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Drones, from 2017 - 2030 (USD Billion)
  • Table 8. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Automobile, from 2017 - 2030 (USD Billion)
  • Table 9. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Robotics, from 2017 - 2030 (USD Billion)
  • Table 10. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By AR / VR, from 2017 - 2030 (USD Billion)
  • Table 11. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Others, from 2017 - 2030 (USD Billion)
  • Table 12. Global Mobile Artificial Intelligence (AI) Market Estimates and Forecast, By region 2017 - 2030 (USD Billion)
  • Table 13. North America Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 14. North America Mobile Artificial Intelligence (AI) Market revenue Estimates and Forecast, By Technology Node, 2017 - 2030 (USD Billion)
  • Table 15. North America Mobile Artificial Intelligence (AI) Market revenue Estimates and Forecast, By Application, 2017 - 2030 (USD Billion)
  • Table 16. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 17. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 18. U.S. Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 19. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 20. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 21. Europe Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 22. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 23. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 24. Germany Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 25. France Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 26. France Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 27. France Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 28. U.K. Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 29. U.K. Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 30. U.K. Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 31. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 32. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 33. Asia Pacific Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 34. China Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 35. China Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 36. China Mobile AI Node Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 37. India Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 38. India Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 39. India Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 40. Latin America Mobile AI Node Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 41. Latin America Mobile AI Node Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 42. Latin America Mobile AI Node Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 43. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 44. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 45. Brazil Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 46. Middle East & Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 47. Middle East & Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 48. Middle East & Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 49. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast, 2017 - 2030 (USD Billion)
  • Table 50. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Technology Node, 2017 - 2030 (USD Billion)
  • Table 51. South Africa Mobile Artificial Intelligence (AI) Market Estimates and Forecast By Application, 2017 - 2030 (USD Billion)
  • Table 52. Vendor landscape

List of Figures

  • Fig. 1 Mobile Artificial Intelligence (AI) Market Snapshot
  • Fig. 2 Mobile Artificial Intelligence (AI) Market Segmentation & Scope
  • Fig. 3 Mobile Artificial Intelligence (AI) Market Penetration & Growth Prospect Mapping
  • Fig. 4 Mobile Artificial Intelligence (AI) Market Value Chain Analysis
  • Fig. 5 Mobile Artificial Intelligence (AI) Market Dynamics
  • Fig. 6 Mobile Artificial Intelligence (AI) Market Porter's Analysis
  • Fig. 7 Mobile Artificial Intelligence (AI) Market: Technology Node Movement Analysis
  • Fig. 8 Mobile Artificial Intelligence (AI) Market: Applications Movement Analysis
  • Fig. 9 Mobile Artificial Intelligence (AI) Market: Regional Movement Analysis