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市場調查報告書
商品編碼
2043810

2034年人工智慧智慧型手機硬體市場預測：全球硬體組件、智慧型手機類別、人工智慧功能與區域分析

AI-Capable Smartphone Hardware Market Forecasts to 2034 - Global Analysis By Hardware Component, Smartphone Category, AI Functionality and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧智慧型手機硬體市場規模將達到 40 億美元，並在預測期內以 52.5% 的複合年成長率成長，到 2034 年將達到 1157 億美元。

配備人工智慧硬體的智慧型手機包含專用處理器（例如NPU）以及高效能GPU和CPU，旨在本地處理人工智慧功能。這種配置使設備即使在沒有持續網路連線的情況下也能執行臉部辨識、語音處理、即時翻譯和擴增實境（AR）體驗等任務。更高的效率可實現快速數據處理，同時降低電池消耗。此外，人工智慧驅動的組件透過智慧增強和影像處理顯著提升了相機性能。隨著智慧功能日趨複雜，此類硬體對於在裝置環境中直接提供快速、安全和個人化的使用者體驗至關重要。

根據《世界指標報告（2026）》，到2025年，具備人工智慧功能的全新智慧型手機比例預計將達到95%，高於2022年的65%。 2023年，前100名的智慧型手機機型中，87%都配備了人工智慧驅動的相機最佳化功能。此外，基於人工智慧的效能管理功能目前已成為全球62%的中階智慧型手機的標配。

對設備內人工智慧處理的需求日益成長

消費者對智慧型手機高反應速度和智慧性能的日益成長的需求，推動了對設備內建人工智慧功能的需求。他們希望即時語音指令、生物識別和智慧成像等功能能夠獨立於雲端運作。這種方式可以提高處理速度，確保用戶資料安全，並最大限度地減少網路流量消耗。為了滿足這些需求，智慧型手機製造商正在將專用人工智慧處理器（例如神經網路處理器NPU）整合到設備中。這些元件能夠實現高效的本地運算，並確保流暢運行。對隱私日益成長的關注，以及對不間斷性能的需求，正在加速現代智慧型手機中先進人工智慧硬體的普及。

先進人工智慧硬體組件高成本

將神經網路處理器（NPU）、高效能圖形處理器（GPU）和先進晶片組等人工智慧專用硬體整合到智慧型手機中，其高昂的成本對智慧型手機市場構成了重大挑戰。這些組件依賴複雜的製造程序，需要大量的投資。因此，最終的設備價格更高，令許多消費者難以負擔。這在價格敏感度較高的發展中地區尤其突出。此外，並非所有製造商都有足夠的財力來採用這些先進技術，這限制了其在整個產業的普及。這種高成本結構持續阻礙人工智慧智慧型手機在各個細分市場的快速普及。

對個人化使用者體驗日益成長的需求

用戶對個人化數位互動日益成長的需求，為整合人工智慧的智慧型手機硬體創造了新的機會。設備可以利用人工智慧了解使用者的習慣和偏好，從而實現個人化建議和自適應介面等功能。設備高效的處理能力確保這些功能能夠快速運行，同時確保資料安全。隨著個人化成為提升用戶滿意度的關鍵因素，智慧型手機製造商正致力於增強人工智慧能力。先進的硬體能夠根據用戶行為進行即時調整。這種追求更個人化體驗的趨勢，正在推動對高性能人工智慧組件的需求，為智慧型手機硬體市場帶來巨大的成長潛力。

科技快速過時

人工智慧和晶片設計的快速發展正為現有智慧型手機硬體的效用帶來挑戰，使其不斷縮短。處理器和架構的頻繁更新換代導致舊款設備迅速失去競爭力。這迫使企業在持續創新方面投入大量資金，同時適應更短的產品生命週期。消費者可能由於擔心設備快速貶值而猶豫是否頻繁升級換代。同時，製造商也面臨庫存過剩和收入下滑的風險。跟上不斷變化的技術步伐變得越來越困難，而快速過時則對人工智慧驅動的智慧型手機硬體市場的長期穩定構成了重大威脅。

新型冠狀病毒（COVID-19）的影響：

新冠疫情為人工智慧智慧型手機硬體市場帶來了挑戰和成長機會。疫情初期，旅行限制和工廠停工擾亂了全球供應鏈，導致零件短缺和生產延誤。這些問題造成成本上升和產品供應受限。同時，疫情也推動了數位化活動的激增，增加了對具備智慧功能的智慧型手機的需求，這些功能可用於遠端通訊、學習和娛樂。基於人工智慧的功能，例如增強型視訊通話和健康管理，變得日益重要。這一趨勢支撐了市場的長期成長，並促進了人工智慧硬體技術的進一步創新。

在預測期內，具備人工智慧最佳化功能的應用處理器（SoC）細分市場預計將成為最大的細分市場。

預計在預測期內，具備人工智慧最佳化功能的應用處理器（SoC）將佔據最大的市場佔有率，因為它是設備的核心運算單元。這些晶片將處理、圖形和人工智慧等多種功能整合於單一架構中。這種整合使智慧型手機能夠有效地執行即時影像校正、語音處理和複雜應用等高級任務。晶片技術的不斷進步正在推動速度提升和功耗降低。隨著行動裝置變得越來越智慧，這些支援人工智慧的SoC在提升裝置效能和改善使用者體驗方面將持續發揮關鍵作用。

在預測期內，設備端產生的 AI 細分市場預計將呈現最高的複合年成長率。

在預測期內，設備端生成式人工智慧領域預計將呈現最高的成長率，這主要得益於其在設備本地生成內容的能力。這使得智慧型手機無需依賴外部伺服器即可產生文字、圖像、音訊和其他輸出內容。這不僅提高了處理速度，還保護了用戶數據，並確保了流暢的效能。用戶對個人化和互動式應用的日益成長的興趣正在推動其普及。借助先進的人工智慧硬體，智慧型手機可以高效地處理複雜的生成模型。隨著應用場景的不斷擴展，這一領域正在成為創新和市場成長的主要驅動力。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這主要得益於其成熟的電子製造業基礎和較高的智慧型手機普及率。該地區匯聚了許多大型晶片製造商和行動裝置公司，從而實現了高效的生產和新技術的快速應用。對高級影像處理、語音互動和智慧應用等智慧功能日益成長的需求，正在鞏固該地區的市場地位。此外，5G網路和數位生態系統的持續發展也推動了人工智慧智慧型手機的成長。大規模且技術意識強的消費者群體以及行動技術的不斷創新，在維持該地區的市場領先地位方面發揮著至關重要的作用。

複合年成長率最高的地區：

在預測期內，北美預計將呈現最高的複合年成長率，這得益於其先進的技術環境和對尖端創新技術的早期應用。該地區匯集了許多領先的科技公司和研究舉措，推動著人工智慧整合智慧型手機組件的開發。消費者對擴增實境(AR) 和語音互動等智慧功能的高階設備的興趣日益濃厚，正在提振市場需求。此外，對下一代連接技術和數位基礎設施的持續投資也在推動市場擴張。憑藉對創新的高度重視和對技術的快速應用，預計該地區未來幾年將實現顯著成長。

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目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧智慧型手機硬體市場：按硬體組件分類

  • AI最佳化型應用處理器（SoC）
  • 神經處理單元（NPU）
  • 人工智慧加速的GPU
  • AI增強影像訊號處理器（ISP）
  • 數據機
  • 記憶體儲存
  • 感應器

第6章：全球人工智慧智慧型手機硬體市場：依智慧型手機類別分類

  • 旗艦級和高階人工智慧智慧型手機
  • 中階人工智慧智慧型手機
  • 入門級人工智慧智慧型手機

第7章：全球人工智慧智慧型手機硬體市場：按人工智慧功能分類

  • 設備內生成的人工智慧
  • 成像和視覺人工智慧
  • 安全人工智慧
  • 連接性和最佳化人工智慧
  • 個人助理和多模態介面人工智慧

第8章：全球人工智慧智慧型手機硬體市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第9章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第10章：產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第11章：公司簡介

  • Apple Inc.
  • Samsung Electronics Co. Ltd.
  • Qualcomm Technologies Inc.
  • MediaTek Inc.
  • Huawei Technologies Co. Ltd.
  • Google LLC
  • Xiaomi Corp.
  • OPPO
  • Vivo
  • Honor Device Co. Ltd.
  • Motorola Mobility LLC
  • Arm Ltd.
  • Intel Corporation
  • TSMC
  • Synopsys
  • Cadence Design Systems
  • Micron Technology, Inc.
  • SK hynix Inc.
Product Code: SMRC36068

According to Stratistics MRC, the Global AI-Capable Smartphone Hardware Market is accounted for $4.0 billion in 2026 and is expected to reach $115.7 billion by 2034 growing at a CAGR of 52.5% during the forecast period. Smartphones equipped with AI-capable hardware include dedicated processors like NPUs, along with powerful GPUs and CPUs designed to handle artificial intelligence functions locally. This setup allows devices to perform tasks such as facial recognition, voice processing, real-time translation, and AR experiences without constant internet access. Enhanced efficiency ensures quick data handling while conserving battery usage. Additionally, AI-driven components significantly upgrade camera capabilities through intelligent enhancements and image processing. As smart features grow more advanced, such hardware becomes essential for delivering fast, secure, and customized user experiences directly within the device environment.

According to World metrics Report (2026), by 2025, 95% of new smartphones shipped with AI-powered features, up from 65% in 2022. AI-driven camera optimization was present in 87% of the top 100 smart phone models in 2023. AI-based performance management is now standard in 62% of mid-range smart phones globally.

Market Dynamics:

Driver:

Rising demand for on-device AI processing

Increasing expectations for immediate and intelligent smartphone performance are fueling the demand for on-device AI capabilities. Consumers prefer features such as real-time voice commands, biometric security, and smart imaging to function without cloud dependency. This approach enhances speed, safeguards user data, and minimizes network usage. To meet these expectations, smartphone makers are embedding specialized AI processors like NPUs into their devices. These components enable efficient local computation, ensuring smooth functionality. The growing emphasis on privacy, along with the need for uninterrupted performance, is accelerating the adoption of advanced AI hardware within modern smartphones.

Restraint:

High cost of advanced AI hardware components

The expense associated with incorporating AI-specific hardware like NPUs, powerful GPUs, and advanced chipsets poses a significant challenge for the smartphone market. These components depend on complex manufacturing techniques that demand substantial investment. Consequently, the final device price increases, reducing accessibility for many consumers. This is particularly problematic in developing regions where cost sensitivity is high. Furthermore, not all manufacturers have the financial capacity to adopt these advanced technologies, limiting broader industry participation. The elevated cost structure continues to hinder the rapid expansion of AI-capable smartphones across diverse market segments.

Opportunity:

Rising demand for personalized user experiences

The growing desire for customized digital interactions is creating new opportunities for AI-integrated smartphone hardware. Devices can use artificial intelligence to understand user habits and preferences, enabling features like tailored recommendations and adaptive interfaces. Efficient on-device processing ensures these functions operate quickly while maintaining data security. As personalization becomes a crucial factor in user satisfaction, smartphone manufacturers are focusing on enhancing AI capabilities. Advanced hardware allows real-time adjustments based on individual behavior. This trend toward more personalized experiences is driving the need for powerful AI components, opening up significant growth prospects in the smartphone hardware market.

Threat:

Rapid technological obsolescence

Continuous advancements in artificial intelligence and chip design create a challenge by shortening the relevance of existing smartphone hardware. Frequent introduction of improved processors and architectures quickly renders older devices less competitive. This forces companies to invest heavily in ongoing innovation while managing shorter product lifecycles. Consumers may hesitate to upgrade regularly, fearing rapid depreciation of their devices. At the same time, manufacturers face risks related to excess inventory and reduced returns. Keeping pace with constant technological changes becomes increasingly difficult, making rapid obsolescence a major threat to the long-term stability of AI-enabled smartphone hardware markets.

Covid-19 Impact:

The outbreak of COVID-19 created both challenges and growth opportunities for the AI-enabled smartphone hardware market. In the early stages, restrictions on movement and factory shutdowns disrupted global supply chains, leading to component shortages and production delays. These issues increased costs and limited product availability. At the same time, the pandemic drove a surge in digital activities, raising the demand for smartphones equipped with intelligent features for remote communication, learning, and entertainment. AI-based functionalities like enhanced video calls and health tracking gained importance. This trend supported long-term market growth and encouraged further innovation in AI hardware technologies.

The application processors (SoCs) with AI optimization segment is expected to be the largest during the forecast period

The application processor (SoCs) with AI optimization segment is expected to account for the largest market share during the forecast period because they serve as the core computing unit of devices. These chips integrate multiple functionalities, including processing, graphics, and AI capabilities, within a single architecture. This integration allows smartphones to efficiently perform advanced tasks such as real-time image enhancement, speech processing, and complex application handling. Ongoing improvements in chip technology ensure higher speed and lower power consumption. As mobile devices become increasingly intelligent, these AI-enabled SoCs continue to play a critical role in delivering smooth performance and enhanced user experiences.

The on-device generative AI segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the on-device generative AI segment is predicted to witness the highest growth rate, driven by its capability to produce content locally on devices. It allows smartphones to generate text, visuals, sound, and other outputs without depending on external servers. This enhances speed, protects user data, and ensures seamless performance. Increasing interest in personalized and interactive applications is boosting its adoption. With the support of advanced AI hardware, smartphones can efficiently process complex generative models. As use cases continue to expand, this segment is emerging as a major driver of innovation and market growth.

Region with largest share:

During the forecast period, the Asia-Pacific region is expected to hold the largest market share owing to its well-established electronics manufacturing base and widespread smartphone usage. It hosts several leading chipmakers and mobile device companies, allowing efficient production and quick adoption of new technologies. Rising demand for intelligent features such as enhanced imaging, voice interaction, and smart applications strengthens its market position. Furthermore, ongoing development of 5G networks and digital ecosystems boosts the growth of AI-powered smartphones. A large consumer base with increasing technological awareness, along with continuous advancements in mobile innovation, plays a key role in maintaining the region's market leadership.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, supported by its advanced technological landscape and early adoption of cutting-edge innovations. It is home to major tech firms and research initiatives that drive the development of AI-integrated smartphone components. Rising consumer interest in high-end devices with intelligent capabilities, such as augmented reality and voice interaction, fuels demand. Furthermore, ongoing investments in next-generation connectivity and digital infrastructure enhance market expansion. This strong emphasis on innovation and rapid technology uptake positions the region for significant growth in the coming years.

Key players in the market

Some of the key players in AI-Capable Smartphone Hardware Market include Apple Inc., Samsung Electronics Co. Ltd., Qualcomm Technologies Inc., MediaTek Inc., Huawei Technologies Co. Ltd., Google LLC, Xiaomi Corp., OPPO, Vivo, Honor Device Co. Ltd., Motorola Mobility LLC, Arm Ltd., Intel Corporation, TSMC, Synopsys, Cadence Design Systems, Micron Technology, Inc. and SK hynix Inc.

Key Developments:

In January 2026, Qualcomm Technologies, Inc. and Hyundai Mobis announced that the companies have signed a comprehensive agreement at CES 2026 to co-develop next-generation solutions for Software-Defined Vehicles (SDV) and Advanced Driver Assistance Systems (ADAS). Through this collaboration, Hyundai Mobis and Qualcomm Technologies will jointly develop integrated solutions tailored for emerging markets.

In May 2025, Samsung Electronics announced that it has signed an agreement to acquire all shares of FlaktGroup, a leading global HVAC solutions provider, for €1.5 billion from European investment firm Triton. With the global applied HVAC market experiencing rapid growth, the acquisition reinforces Samsung's commitment to expanding and strengthening its HVAC business.

In March 2025, Huawei and Turkcell signed a Memorandum of Understanding (MoU) on collaboration in joint technologies exploration for autonomous network era. The two companies will work together toward future evolution strategy, with the end objective of the full autonomous network. Agreement aims to establish a collaboration for empowering Turkcell to embrace the future of connectivity by leveraging cutting-edge AI technologies to be used in seamless Net 5.5G network evolution, unlocking a new era of services.

Hardware Components Covered:

  • Application Processors (SoCs) with AI Optimization
  • Neural Processing Units (NPUs)
  • GPUs for AI Acceleration
  • Image Signal Processors (ISPs) with AI Enhancement
  • Modems
  • Memory & Storage
  • Sensors

Smartphone Categories Covered:

  • Flagship & High-end AI Smartphones
  • Mid-range AI-enabled Smartphones
  • Entry-level AI-capable Smartphones

AI Functionalities Covered:

  • On-device Generative AI
  • Imaging & Vision AI
  • Security AI
  • Connectivity & Optimization AI
  • Personal Assistants & Multimodal Interfaces AI

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI-Capable Smartphone Hardware Market, By Hardware Component

  • 5.1 Application Processors (SoCs) with AI Optimization
  • 5.2 Neural Processing Units (NPUs)
  • 5.3 GPUs for AI Acceleration
  • 5.4 Image Signal Processors (ISPs) with AI Enhancement
  • 5.5 Modems
  • 5.6 Memory & Storage
  • 5.7 Sensors

6 Global AI-Capable Smartphone Hardware Market, By Smartphone Category

  • 6.1 Flagship & High-end AI Smartphones
  • 6.2 Mid-range AI-enabled Smartphones
  • 6.3 Entry-level AI-capable Smartphones

7 Global AI-Capable Smartphone Hardware Market, By AI Functionality

  • 7.1 On-device Generative AI
  • 7.2 Imaging & Vision AI
  • 7.3 Security AI
  • 7.4 Connectivity & Optimization AI
  • 7.5 Personal Assistants & Multimodal Interfaces AI

8 Global AI-Capable Smartphone Hardware Market, By Geography

  • 8.1 North America
    • 8.1.1 United States
    • 8.1.2 Canada
    • 8.1.3 Mexico
  • 8.2 Europe
    • 8.2.1 United Kingdom
    • 8.2.2 Germany
    • 8.2.3 France
    • 8.2.4 Italy
    • 8.2.5 Spain
    • 8.2.6 Netherlands
    • 8.2.7 Belgium
    • 8.2.8 Sweden
    • 8.2.9 Switzerland
    • 8.2.10 Poland
    • 8.2.11 Rest of Europe
  • 8.3 Asia Pacific
    • 8.3.1 China
    • 8.3.2 Japan
    • 8.3.3 India
    • 8.3.4 South Korea
    • 8.3.5 Australia
    • 8.3.6 Indonesia
    • 8.3.7 Thailand
    • 8.3.8 Malaysia
    • 8.3.9 Singapore
    • 8.3.10 Vietnam
    • 8.3.11 Rest of Asia Pacific
  • 8.4 South America
    • 8.4.1 Brazil
    • 8.4.2 Argentina
    • 8.4.3 Colombia
    • 8.4.4 Chile
    • 8.4.5 Peru
    • 8.4.6 Rest of South America
  • 8.5 Rest of the World (RoW)
    • 8.5.1 Middle East
      • 8.5.1.1 Saudi Arabia
      • 8.5.1.2 United Arab Emirates
      • 8.5.1.3 Qatar
      • 8.5.1.4 Israel
      • 8.5.1.5 Rest of Middle East
    • 8.5.2 Africa
      • 8.5.2.1 South Africa
      • 8.5.2.2 Egypt
      • 8.5.2.3 Morocco
      • 8.5.2.4 Rest of Africa

9 Strategic Market Intelligence

  • 9.1 Industry Value Network and Supply Chain Assessment
  • 9.2 White-Space and Opportunity Mapping
  • 9.3 Product Evolution and Market Life Cycle Analysis
  • 9.4 Channel, Distributor, and Go-to-Market Assessment

10 Industry Developments and Strategic Initiatives

  • 10.1 Mergers and Acquisitions
  • 10.2 Partnerships, Alliances, and Joint Ventures
  • 10.3 New Product Launches and Certifications
  • 10.4 Capacity Expansion and Investments
  • 10.5 Other Strategic Initiatives

11 Company Profiles

  • 11.1 Apple Inc.
  • 11.2 Samsung Electronics Co. Ltd.
  • 11.3 Qualcomm Technologies Inc.
  • 11.4 MediaTek Inc.
  • 11.5 Huawei Technologies Co. Ltd.
  • 11.6 Google LLC
  • 11.7 Xiaomi Corp.
  • 11.8 OPPO
  • 11.9 Vivo
  • 11.10 Honor Device Co. Ltd.
  • 11.11 Motorola Mobility LLC
  • 11.12 Arm Ltd.
  • 11.13 Intel Corporation
  • 11.14 TSMC
  • 11.15 Synopsys
  • 11.16 Cadence Design Systems
  • 11.17 Micron Technology, Inc.
  • 11.18 SK hynix Inc.

List of Tables

  • Table 1 Global AI-Capable Smartphone Hardware Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Capable Smartphone Hardware Market Outlook, By Hardware Component (2023-2034) ($MN)
  • Table 3 Global AI-Capable Smartphone Hardware Market Outlook, By Application Processors (SoCs) with AI Optimization (2023-2034) ($MN)
  • Table 4 Global AI-Capable Smartphone Hardware Market Outlook, By Neural Processing Units (NPUs) (2023-2034) ($MN)
  • Table 5 Global AI-Capable Smartphone Hardware Market Outlook, By GPUs for AI Acceleration (2023-2034) ($MN)
  • Table 6 Global AI-Capable Smartphone Hardware Market Outlook, By Image Signal Processors (ISPs) with AI Enhancement (2023-2034) ($MN)
  • Table 7 Global AI-Capable Smartphone Hardware Market Outlook, By Modems (2023-2034) ($MN)
  • Table 8 Global AI-Capable Smartphone Hardware Market Outlook, By Memory & Storage (2023-2034) ($MN)
  • Table 9 Global AI-Capable Smartphone Hardware Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 10 Global AI-Capable Smartphone Hardware Market Outlook, By Smartphone Category (2023-2034) ($MN)
  • Table 11 Global AI-Capable Smartphone Hardware Market Outlook, By Flagship & High-end AI Smartphones (2023-2034) ($MN)
  • Table 12 Global AI-Capable Smartphone Hardware Market Outlook, By Mid-range AI-enabled Smartphones (2023-2034) ($MN)
  • Table 13 Global AI-Capable Smartphone Hardware Market Outlook, By Entry-level AI-capable Smartphones (2023-2034) ($MN)
  • Table 14 Global AI-Capable Smartphone Hardware Market Outlook, By AI Functionality (2023-2034) ($MN)
  • Table 15 Global AI-Capable Smartphone Hardware Market Outlook, By On-device Generative AI (2023-2034) ($MN)
  • Table 16 Global AI-Capable Smartphone Hardware Market Outlook, By Imaging & Vision AI (2023-2034) ($MN)
  • Table 17 Global AI-Capable Smartphone Hardware Market Outlook, By Security AI (2023-2034) ($MN)
  • Table 18 Global AI-Capable Smartphone Hardware Market Outlook, By Connectivity & Optimization AI (2023-2034) ($MN)
  • Table 19 Global AI-Capable Smartphone Hardware Market Outlook, By Personal Assistants & Multimodal Interfaces AI (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.