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市場調查報告書
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1301202

移動人工智能 (AI) 市場規模、份額和趨勢報告：按技術節點、按應用、按地區、細分市場預測，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個工作天內

價格

移動人工智能 (AI) 市場增長和趨勢

GrandView Research, Inc.最新報告顯示，預計2030年全球移動人工智能市場規模將達到849.7億美元，2023年至2030年復合年增長率為26.9%。

由於多種因素，近年來市場增長顯著。市場驅動因素之一是移動設備處理能力的增強。現代智能手機和平板電腦配備了強大的處理器和圖形處理單元 (GPU)，可以高效運行人工智能算法和模型。

推動移動人工智能（AI）市場增長的另一個因素是人工智能工具和框架的卓越可用性。許多流行的人工智能框架（例如 TensorFlow、PyTorch 和 Keras）都有移動版本，允許開發人員在移動設備上構建和部署人工智能模型。移動人工智能應用正在醫療、金融、教育和娛樂領域得到應用，以提高效率、準確性和用戶體驗。例如，移動人工智能分析醫學圖像、檢測金融交易中的欺詐行為並提供個性化的學習體驗。此外，新的數據收集也是市場增長的主要驅動力。移動設備會生成大量數據，例如圖像、視頻和文本，可用於訓練人工智能模型。物聯網 (IoT) 的發展通過從傳感器和連接設備等各種來源生成數據，有助於提高數據可用性。

總體而言，隨著人工智能技術變得更加先進和易於使用，以及移動設備變得更加強大和普遍，移動人工智能預計將繼續增長。移動人工智能可應用於多種領域，有潛力改變各行各業，改善全世界人民的生活。移動人工智能應用的示例包括語音識別、圖像和視頻識別、自然語言處理和預測分析。

最近，對各種基於人工智能的技術的投資有所增加。這一因素正在推動全球移動人工智能市場的發展。全球對具有人工智能功能的處理器不斷增長的需求也推動了市場的發展。多個國家政府實施了各種優惠政策來支持創業文化。因此，國際市場對移動AI的需求日益增長。智能手機、相機、無人機、AR/VR、汽車、機器人等是該市場中使用產品的一些關鍵行業。有限的人工智能專家和昂貴的人工智能處理器是限制該行業擴張的兩個因素。相比之下，物聯網中的邊緣計算、移動設備中的低成本視覺應用以及相機的人工智能芯片將產生需求。

移動人工智能 (AI) 市場報告亮點

  • 10納米技術節點領域將在2022年引領市場，佔全球收入的44.73%以上。這一增長歸因於市場上智能手機的顯著增長和數字化。
  • 隨著移動設備處理能力的不斷增強和邊緣計算的出現，人工智能模型現在可以部署在設備本身而不是雲端。這被稱為邊緣計算，可以實現更快、更高效的數據處理。
  • 增強現實（AR）的顯著增長以及數字信息在現實世界中的疊加正在推動市場的增長。移動人工智能被用來開發 AR 應用程序，可以識別物體並實時提供有關它們的信息。
  • 2022年，北美地區的銷售份額將最大，超過30.77%。該地區正在大力投資移動人工智能

目錄

第一章 調查方法和範圍

  • 調查方法
  • 調查範圍和假設
  • 數據源列表
  • 縮略語表

第二章執行摘要

  • 市場快照
  • 段快照
  • 競爭格局的快照

3.移動人工智能（AI）市場變量、趨勢和範圍

  • 市場細分
  • 採用和增長前景圖
  • 價值鏈分析
  • 市場動態
    • 市場驅動力分析
    • 市場約束因素分析
    • 市場機會分析
  • 營商環境分析
    • 波特的分析
    • PESTLE分析

第四章移動人工智能（AI）市場：技術節點預估及趨勢分析

  • 2022 年和 2030 年產品變化分析和市場份額
  • 7nm
    • 2017-2030 年市場估計和預測
  • 10nm
    • 2017-2030 年市場估計和預測
  • 20-28納米
    • 2017-2030 年市場估計和預測
  • 其他（12nm至14nm）
    • 2017-2030 年市場估計和預測

第五章移動人工智能（AI）市場：應用預估與趨勢分析

  • 2022 年和 2030 年應用變化分析和市場份額
  • 手機
    • 2017-2030 年市場估計和預測
  • 相機
    • 2017-2030 年市場估計和預測
  • 無人機
    • 2017-2030 年市場估計和預測
  • 汽車
    • 2017-2030 年市場估計和預測
  • 機器人技術
    • 2017-2030 年市場估計和預測
  • 增強現實/虛擬現實
    • 2017-2030 年市場估計和預測
  • 其他（智能板、筆記本電腦、個人電腦）
    • 2017-2030 年市場估計和預測

第六章移動人工智能（AI）市場：按地區估算及趨勢分析

  • 2022 年和 2030 年區域差異分析和市場份額
  • 北美
    • 2017-2030 年市場估計和預測
    • 美國
    • 加拿大
  • 歐洲
    • 2017-2030 年市場估計和預測
    • 德國
    • 法國
    • 英國
  • 亞太地區
    • 2017-2030 年市場估計和預測
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳大利亞
  • 拉丁美洲
    • 2017-2030 年市場估計和預測
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 2017-2030 年市場估計和預測
    • 沙特阿拉伯王國
    • 阿拉伯聯合酋長國
    • 南非

第 7 章 競爭分析

  • 全球主要參與者、最新發展及其對行業的影響
  • 主要公司/競爭對手的分類（主要創新者、市場領導者、初創企業）
  • 供應商情況
    • 2022 年主要參與者的市場份額分析

第八章公司簡介

  • 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