한글목차

현재 세계 기술 환경은 AI 칩셋의 급속한 발전과 보급에 힘입어 대혁명의 한가운데에 있습니다. AI의 이론적 가능성을 넘어 임베디드 시스템 생태계가 근본적으로 변화하는 현실로 전환되고 있습니다.

이 보고서는 AI 기기에 탑재된 엄청난 규모의 칩셋 출하 현황을 상세하게 설명하며, 가까운 미래에 전체 전자기기의 약 절반이 임베디드 인텔리전스를 탑재하는 세상이 도래할 것임을 보여줍니다. 이 전환은 단순한 하드웨어 업그레이드를 넘어 디바이스가 정보를 처리하는 방식을 근본적으로 재구성하는 것으로, 신원 관리 및 사이버 보안에서 복잡한 인증 프로토콜에 이르기까지 핵심 비즈니스 기능의 새로운 패러다임을 창출할 것입니다.

마인드 커머스는 AI 실리콘의 보급이 혁신의 선순환을 촉진하고 향후 10년간의 기술 발전을 정의할 것으로 보고 있습니다. 본 분석에서 자세히 설명한 바와 같이, 현재 시장에서는 AI 기능에 대한 수요가 온칩 메모리, 센서, NFC 및 Bluetooth와 같은 무선통신 인터페이스와 같은 지원 구성 요소의 발전을 주도하고, 이를 통해 더 높은 수준의 AI 데이터 처리를 가능하게 하는 강력한 양의 피드백 루프가 관찰되고 있습니다. 피드백 루프가 관찰되고 있습니다.

주요 벤더들은 이러한 진보를 적극적으로 활용하여 5G 및 LPWAN을 포함한 무선 네트워크와 클라우드 엣지 컴퓨팅 아키텍처의 혁신을 주도하고 있습니다. 인지기능을 실리콘에 직접적으로 통합함으로써 분산형 인텔리전스의 부상을 볼 수 있습니다. 이 장치는 단순히 데이터를 수집하는 데 그치지 않고 환경으로부터 능동적으로 학습하고, 숨겨진 패턴을 발견하고, 실행 가능한 인사이트를 실시간으로 예측합니다.

이 보고서는 기업 및 산업 이해관계자들에게 AI 칩셋이 어떻게 자동 의사결정과 로봇 프로세스 자동화의 기반이 되었는지에 대해 설명합니다. 이 분석에서는 실시간 분석과 '저장과 처리' 판단이 중요한 비즈니스 엣지 기기에서 이들 프로세서가 데이터 집약적 업무를 어떻게 최적화하고 있는지 살펴봅니다. 그 영향력은 소비자 영역에도 동일하게 적용되어 클라우드 게임, 스마트 기기의 조작성 향상 등 사용자가 의식하지 못하는 사이에 제품 성능과 경험 가치의 향상을 지원하고 있습니다.

의사결정 지원 시스템에서 시스템 최적화에 이르기까지 멀티프로세서 AI 칩셋의 통합은 정보통신기술(ICT) 분야에 큰 혜택을 가져다주며 제품의 안전성, 효율성, 전반적인 컴퓨팅 성능의 향상을 촉진하고 있습니다.

이 보고서는 주요 기업의 종합적인 평가, 기술 전략, 향후 수년간의 솔루션 계획 등을 통해 전략적 우위를 확보할 수 있도록 도와줍니다. AI 칩셋이 블록체인 시스템 및 엣지 서버 플랫폼을 포함한 신기술 및 중개자 제거 기술에 어떻게 기반을 제공하는지 심층적으로 탐구하고 있습니다.

또한 이 보고서는 기술적 측면과 더불어 엄격한 정량적 데이터를 제공하며, 주요 산업 분야 전반에 걸친 하드웨어, 임베디드 소프트웨어, 전문 서비스에 대한 예측을 제시합니다. 2025-2030년 지역 및 국가별 예측과 함께 생태계 이해관계자들을 위한 독점적인 권고사항이 포함되어 있으며, 복잡하고 수익성이 높은 AI 칩셋 시장 전망를 헤쳐나가기 위한 필수 로드맵이 될 것입니다.

목차

제1장 개요

제2장 서론

• AI 칩셋
  • 칩셋 컴포넌트
  • 범용 애플리케이션
• AI 시스템
• 시장 역학 분석
• AI 투자
• 경쟁 시장

제3장 AI 칩셋 기술 및 애플리케이션 분석

• 칩셋 기술과 제품
• AI 기술
  • 기계학습
  • 기계학습 API
  • 딥러닝
  • 자연언어처리
  • 컴퓨터 비전
  • 음성 인식
  • 상황 인지 컴퓨팅
  • 신경망
  • 얼굴 인식
• 배포 플랫폼
• IoT 부문
• 업계별 애플리케이션
• 지역 시장
• 밸류체인
• 5G 네트워크와 엣지 컴퓨팅
• 클라우드 컴퓨팅과 데이터 분석
• 인더스트리 4.0과 공장 자동화
• 자율 네트워크
• 블록체인 네트워크
• 양자 컴퓨팅
• 머신 인텔리전스
• 나노스케일 테크놀러지
• 모바일 네트워크 사업자

제4장 AI 칩셋 기업 분석

• Alphabet(Google)
• Microsoft Corporation
• Meta(Facebook)
• Apple Inc.
• IBM Corporation
• Alibaba Group
• Huawei Technology
• Baidu Inc.
• Tesla(DeepScale)
• Hewlett Packard Enterprise
• Fujitsu Inc.
• Dell Technologies
• Western Digital
• Nokia Corporation
• LG Corporation
• Thinkforce
• Canaan Inc.
• Rokid Inc.
• Cambricon Technologies
• Horizon Robotics
• BITMAIN Technologies
• IntelliFusion
• YITU Tech
• NextVPU
• Artosyn
• Tsing Micro
• Black Sesame Technologies
• Enflame Tech
• ChipIntelli
• Unisound
• AISPEECH
• TensorFlow
• Intel Corporation
• Onnc(Skymizer Taiwan)
• Apache Tvm(Apache Software Foundation)
• OctoML
• Nvidia Corporation
• Tiramisu Compiler
• Tensor Algebra Compiler
• MLPErf
• AI-Benchmark
• Matrix AI
• AIIA
• DAWNBench
• EEMBC MLMark Benchmark
• ARM Limited(Softbank Group)
• Synopsys Inc.
• Imagination Technologies
• CEVA Inc.
• Cadence Design Systems
• SiFive Inc.
• ARTERIS Inc.
• VeriSilicon
• Broadcom Inc.
• Global Unichip Corp
• Alchip Technologies
• Faraday Technology Corporation
• Marvell Technology
• Cerebras Systems
• MIPS(Wave Computing)
• Graphcore
• SambaNova Systems
• HAILO
• Blaize
• KALRAY
• Groq Inc.
• Tachyum
• Esperanto Technologies
• Pezy Computing
• ETA Compute
• GreenWaves Technologies
• Preferred Networks
• INNOGRIT
• KNERON
• AIStorm Inc.
• NeuroBlade Ltd.
• Novumind
• Tenstorrent
• AIMotive
• Achronix Semiconductor Corporation
• Flex Logix Technologies
• Mythic
• Areanna AI
• ANAFLASH
• Gyrfalcon Technology
• SYNTIANT CORP
• Lightelligence
• Lightmatter
• Optalysys Ltd.
• Brainchip
• SynSense(Aictx)
• Rain Neuromorphics
• GrAI Matter Labs
• Samsung Electronics
• Qualcomm Incorporated
• Advanced Micro Devices
• MediaTek Inc.
• Unisoc Technologies
• Rockchip Electronics
• Nationalchip Science & Technology
• NXP Semiconductors
• Texas Instruments
• Renesas Electronics Corporation
• Toshiba Corporation
• STMicroelectronics
• Amazon Inc.
• SK Telecom
• Inbenta Holding
• Microchip Technology Inc.
• Micron Technology
• AIBrain Inc.
• General Vision Inc.
• Analog Devices Inc.
• Infineon Technologies AG(Cypress Semiconductor)
• ROHM Co. Ltd.
• SEMTECH
• ZTE Corporation
• NEC Corporation
• Adapteva Inc.
• Applied Materials Inc.
• KONIKU
• Numenta Inc.
• SenseTime
• KRTKL Inc.
• SK Hynix Inc.
• Taiwan Semiconductor Manufacturing Company Limited(TSMC)
• AnotherBrain
• Vathys
• MEGVII

제5장 AI 칩셋 시장의 주목 분야

• 퍼스널 AI에 대한 OpenAI의 1조 달러 규모 투자 구상
• AI 공급과 예상 성장을 전력 수요와 매칭
• NVIDIA의 AI 칩셋 전략 진화

제6장 AI 칩셋 시장 분석·예측

• 세계의 AI 칩셋 시장
  • 세계 시장의 규모
  • 부문별 시장
  • 도입 플랫폼별 시장
  • 용도별 시장
  • 산업별 시장
  • 소비자, 기업, 산업, 정부에서의 AI 시장
  • 5G 네트워크 시장
  • 엣지 컴퓨팅 네트워크 시장
  • 클라우드 컴퓨팅 시장
  • 양자 컴퓨팅 시장
  • 빅데이터 분석 시장
  • IoT 시장
  • 블록체인 네트워크 시장
• AI 칩셋 시장 : 지역별
  • 지역별 시장
• AI 칩셋 배포 예측
  • 세계 배포
  • 부문별 배포
  • 플랫폼별 배포
  • AI 기술별 배포
  • 용도별 배포
  • 산업별 배포
  • 가격별 배포
  • 지역별 배포

제7장 결론·제안

• 광고주·미디어 기업
• AI 프로바이더
• 자동차 회사
• 브로드밴드 인프라 프로바이더
• 통신 서비스 프로바이더
• 컴퓨팅 기업
• 데이터 분석 프로바이더
• 몰입형 테크놀러지(AR, VR, MR) 프로바이더
• 네트워크 장비 프로바이더
• 네트워크 보안 프로바이더
• 반도체 기업
• IoT 공급업체·서비스 프로바이더
• 소프트웨어 프로바이더
• 스마트 시티 시스템 통합사업자
• 자동화 시스템 프로바이더
• 소셜미디어 기업
• 워크플레이스 솔루션 프로바이더
• 대기업, 중소기업, 정부기관
• 향후 시장의 방향성
• 투자자에 대한 권장사항

영문목차

Overview:

The global technology landscape is currently undergoing a seismic shift, driven by the rapid evolution and deployment of AI chipsets. We are moving beyond the theoretical potential of artificial intelligence into a reality where the embedded system ecosystem is fundamentally transformed.

This report details how a staggering magnitude of global chipsets are now shipping with AI equipment, creating a near-future where approximately half of all electronics will possess some form of embedded intelligence. This transition represents more than a mere hardware upgrade; it is a critical restructuring of how devices process information, creating a new paradigm for essential business functions ranging from identity management and cybersecurity to complex authentication protocols.

Mind Commerce sees the proliferation of AI silicon as fostering a virtuous cycle of innovation that will define the next decade of technological development. As detailed in this analysis, the market is witnessing a robust positive feedback loop where the demand for AI capabilities drives the advancement of supporting components, including on-chip memory, sensors, and wireless communication interfaces like NFC and Bluetooth, which in turn enables even more sophisticated AI data processing.

Leading vendors are aggressively leveraging these advancements to revolutionize wireless networks, including 5G and LPWAN, as well as cloud and edge computing architectures. By embedding cognitive capabilities directly onto the silicon, we are seeing the rise of distributed intelligence, where devices no longer just collect data but actively learn from their environments to uncover hidden patterns and predict actionable insights in real-time.

For enterprise and industrial stakeholders, this report illustrates how AI chipsets have become the backbone of automated decision-making and robotic process automation. The analysis explores how these processors are optimizing data-intensive operations, specifically within business edge equipment where real-time analytics and "store versus process" decisions are critical. The impact extends equally to the consumer realm, where these chipsets are silently enhancing user experiences through improved product performance in areas such as cloud-based gaming and smart device interaction.

Whether for decision support systems or system optimization, the integration of multi-processor AI chipsets is proving to be a boon for the Information and Communications Technology (ICT) sector, driving improvements in product safety, efficiency, and overall computing performance.

Acquiring this Mind Commerce report provides a strategic advantage by offering a comprehensive evaluation of the leading market players, their technology strategies, and their solution plans for the coming years. It offers a deep dive into how AI chipsets are underpinning emerging and disintermediating technologies, including blockchain systems and edge server platforms.

Beyond the technology, the report provides rigorous quantitative data, offering forecasts for hardware, embedded software, and professional services across every major industry vertical. With regional and country-specific forecasts extending from 2025 to 2030, along with exclusive recommendations for ecosystem stakeholders, this document serves as an essential roadmap for navigating the complex and lucrative future of the AI chipset marketplace.

Companies in Report:

• Achronix Semiconductor Corporation
• Adapteva Inc.
• Advanced Micro Devices (AMD)
• AIBrain Inc.
• AIMotive
• AISPEECH
• AIStorm Inc.
• Alchip Technologies
• Alibaba Group
• Alphabet (Google)
• Amazon Inc.
• ANAFLASH
• Analog Devices Inc.
• AnotherBrain
• Apache Tvm (Apache Software Foundation)
• Apple Inc.
• Applied Materials Inc.
• Areanna AI
• ARM Limited (Softbank Group)
• ARTERIS Inc.
• Artosyn
• Baidu Inc.
• BITMAIN Technologies
• Black Sesame Technologies
• Blaize
• Brainchip
• Broadcom Inc.
• Cadence Design Systems
• Cambricon Technologies
• Canaan Inc.
• Cerebras Systems
• CEVA Inc.
• ChipIntelli
• Dell Technologies
• Enflame Tech
• Esperanto Technologies
• ETA Compute
• Faraday Technology Corporation
• Flex Logix Technologies
• Fujitsu Inc.
• General Vision Inc.
• Global Unichip Corp
• GrAI Matter Labs
• Graphcore
• GreenWaves Technologies
• Groq Inc.
• Gyrfalcon Technology
• HAILO
• Hewlett Packard Enterprise
• Horizon Robotics
• Huawei Technology
• IBM Corporation
• Imagination Technologies
• Inbenta Holding
• Infineon Technologies AG (Cypress Semiconductor)
• INNOGRIT
• IntelliFusion
• Intel Corporation
• KALRAY
• KNERON
• KONIKU
• KRTKL Inc.
• LG Corporation
• Lightelligence
• Lightmatter
• Marvell Technology
• Matrix AI
• MediaTek Inc.
• MEGVII
• Meta (Facebook)
• Microchip Technology Inc.
• Micron Technology
• Microsoft Corporation
• MIPS (Wave Computing)
• Mythic
• Nationalchip Science & Technology
• NEC Corporation
• NeuroBlade Ltd.
• NextVPU
• Nokia Corporation
• Novumind
• Numenta Inc.
• Nvidia Corporation
• NXP Semiconductors
• OctoML
• Onnc (Skymizer Taiwan)
• Optalysys Ltd.
• Pezy Computing
• Preferred Networks
• Qualcomm Incorporated
• Rain Neuromorphics
• Renesas Electronics Corporation
• Rockchip Electronics
• ROHM Co. Ltd.
• Rokid Inc.
• SambaNova Systems
• Samsung Electronics
• SEMTECH
• SenseTime
• SiFive Inc.
• SK Hynix Inc.
• SK Telecom
• STMicroelectronics
• Synopsys Inc.
• SynSense (Aictx)
• SYNTIANT CORP
• Tachyum
• Taiwan Semiconductor Manufacturing Company Limited (TSMC)
• Tenstorrent
• TensorFlow
• Tesla (DeepScale)
• Texas Instruments
• Thinkforce
• Toshiba Corporation
• Tsing Micro
• Unisoc Technologies
• Unisound
• Vathys
• VeriSilicon
• Western Digital
• YITU Tech
• ZTE Corporation

Table of Contents

1.0 Executive Summary

• 1.1 Research Overview
• 1.2 Research Objectives
• 1.3 Select Findings

2.0 Introduction

• 2.1 AI Chipsets
  • 2.1.1 Chipset Components
  • 2.1.2 General Purpose Applications
• 2.2 AI Systems
• 2.3 Market Dynamics Analysis
• 2.4 AI Investments
• 2.5 Competitive Market

3.0 AI Chipsets Technology and Application Analysis

• 3.1 Chipsets Technology and Products
• 3.2 AI Technology
  • 3.2.1 Machine Learning
  • 3.2.2 Machine Learning APIs
  • 3.2.3 Deep Machine Learning
  • 3.2.4 Natural Language Processing
  • 3.2.5 Computer Vision
  • 3.2.6 Voice Recognition
  • 3.2.7 Context Awareness Computing
  • 3.2.8 Neural Networks
  • 3.2.9 Facial Recognition
• 3.3 Deployment Platform
• 3.4 IoT Sector
• 3.5 Applications in Industry Verticals
• 3.6 Regional Markets
• 3.7 Value Chain
• 3.8 5G Network and Edge Computing
• 3.9 Cloud Computing and Data Analytics
• 3.10 Industry 4.0 and Factory Automation
• 3.11 Autonomous Networks
• 3.12 Blockchain Networks
• 3.13 Quantum Computing
• 3.14 Machine Intelligence
• 3.15 Nanoscale Technology
• 3.16 Mobile Network Operators

4.0 AI Chipset Company Analysis

• 4.1 Alphabet (Google)
• 4.2 Microsoft Corporation
• 4.3 Meta (Facebook)
• 4.4 Apple Inc.
• 4.5 IBM Corporation
• 4.6 Alibaba Group
• 4.7 Huawei Technology
• 4.8 Baidu Inc.
• 4.9 Tesla (DeepScale)
• 4.10 Hewlett Packard Enterprise
• 4.11 Fujitsu Inc.
• 4.12 Dell Technologies
• 4.13 Western Digital
• 4.14 Nokia Corporation
• 4.15 LG Corporation
• 4.16 Thinkforce
• 4.17 Canaan Inc.
• 4.18 Rokid Inc.
• 4.19 Cambricon Technologies
• 4.20 Horizon Robotics
• 4.21 BITMAIN Technologies
• 4.22 IntelliFusion
• 4.23 YITU Tech
• 4.24 NextVPU
• 4.25 Artosyn
• 4.26 Tsing Micro
• 4.27 Black Sesame Technologies
• 4.28 Enflame Tech
• 4.29 ChipIntelli
• 4.30 Unisound
• 4.31 AISPEECH
• 4.32 TensorFlow
• 4.33 Intel Corporation
• 4.34 Onnc (Skymizer Taiwan)
• 4.35 Apache Tvm (Apache Software Foundation)
• 4.36 OctoML
• 4.37 Nvidia Corporation
• 4.38 Tiramisu Compiler
• 4.39 Tensor Algebra Compiler
• 4.40 MLPErf
• 4.41 AI-Benchmark
• 4.42 Matrix AI
• 4.43 AIIA
• 4.44 DAWNBench
• 4.45 EEMBC MLMark Benchmark
• 4.46 ARM Limited (Softbank Group)
• 4.47 Synopsys Inc.
• 4.48 Imagination Technologies
• 4.49 CEVA Inc.
• 4.50 Cadence Design Systems
• 4.51 SiFive Inc.
• 4.52 ARTERIS Inc.
• 4.53 VeriSilicon
• 4.54 Broadcom Inc.
• 4.55 Global Unichip Corp
• 4.56 Alchip Technologies
• 4.57 Faraday Technology Corporation
• 4.58 Marvell Technology
• 4.59 Cerebras Systems
• 4.60 MIPS (Wave Computing)
• 4.61 Graphcore
• 4.62 SambaNova Systems
• 4.63 HAILO
• 4.64 Blaize
• 4.65 KALRAY
• 4.66 Groq Inc.
• 4.67 Tachyum
• 4.68 Esperanto Technologies
• 4.69 Pezy Computing
• 4.70 ETA Compute
• 4.71 GreenWaves Technologies
• 4.72 Preferred Networks
• 4.73 INNOGRIT
• 4.74 KNERON
• 4.75 AIStorm Inc.
• 4.76 NeuroBlade Ltd.
• 4.77 Novumind
• 4.78 Tenstorrent
• 4.79 AIMotive
• 4.80 Achronix Semiconductor Corporation
• 4.81 Flex Logix Technologies
• 4.82 Mythic
• 4.83 Areanna AI
• 4.84 ANAFLASH
• 4.85 Gyrfalcon Technology
• 4.86 SYNTIANT CORP
• 4.87 Lightelligence
• 4.88 Lightmatter
• 4.89 Optalysys Ltd.
• 4.90 Brainchip
• 4.91 SynSense (Aictx)
• 4.92 Rain Neuromorphics
• 4.93 GrAI Matter Labs
• 4.94 Samsung Electronics
• 4.95 Qualcomm Incorporated
• 4.96 Advanced Micro Devices
• 4.97 MediaTek Inc.
• 4.98 Unisoc Technologies
• 4.99 Rockchip Electronics
• 4.100 Nationalchip Science & Technology
• 4.101 NXP Semiconductors
• 4.102 Texas Instruments
• 4.103 Renesas Electronics Corporation
• 4.104 Toshiba Corporation
• 4.105 STMicroelectronics
• 4.106 Amazon Inc.
• 4.107 SK Telecom
• 4.108 Inbenta Holding
• 4.109 Microchip Technology Inc.
• 4.110 Micron Technology
• 4.111 AIBrain Inc.
• 4.112 General Vision Inc.
• 4.113 Analog Devices Inc.
• 4.114 Infineon Technologies AG (Cypress Semiconductor)
• 4.115 ROHM Co. Ltd.
• 4.116 SEMTECH
• 4.117 ZTE Corporation
• 4.118 NEC Corporation
• 4.119 Adapteva Inc.
• 4.120 Applied Materials Inc.
• 4.121 KONIKU
• 4.122 Numenta Inc.
• 4.123 SenseTime
• 4.124 KRTKL Inc.
• 4.125 SK Hynix Inc.
• 4.126 Taiwan Semiconductor Manufacturing Company Limited (TSMC)
• 4.127 AnotherBrain
• 4.128 Vathys
• 4.129 MEGVII

5.0 Watch Areas for the AI Chipset Market

• 5.1 OpenAI's Trillion Dollar Bet on Personal AI
• 5.2 Matching AI Supply and Anticipated Growth with Power Needs
• 5.3 Nvidia's Evolving AI Chipset Strategy

6.0 AI Chipset Market Analysis and Forecasts 2025 - 2030

• 6.1 Global AI Chipsets Market 2025 - 2030
  • 6.1.1 Total Global Market Size 2025 - 2030
  • 6.1.2 Market by Segment 2025 - 2030
    • 6.1.2.1 Market by Hardware 2025 - 2030
      • 6.1.2.1.1 Market by Product 2025 - 2030
      • 6.1.2.1.2 Product Market by Technology 2025 - 2030
      • 6.1.2.1.3 Market by Processor Type 2025 - 2030
    • 6.1.2.2 Software Market by AI Technology 2025 - 2030
      • 6.1.2.2.1 Software Market by AI Technology Type 2025 - 2030
      • 6.1.2.2.2 Software Market by ML Technology 2025 - 2030
    • 6.1.2.3 Market by Service 2025 - 2030
    • 6.1.2.4 Market by Professional Service 2025 - 2030
  • 6.1.3 Market by Deployment Platform 2025 - 2030
    • 6.1.3.1 Market by IoT Device 2025 - 2030
      • 6.1.3.1.1 Market by Wearable Device 2025 - 2030
      • 6.1.3.1.2 Market by Medical and Healthcare Device 2025 - 2030
      • 6.1.3.1.3 Market by Smart Appliances 2025 - 2030
      • 6.1.3.1.4 Market by Industrial Machine 2025 - 2030
      • 6.1.3.1.5 Market by Entertainment Device 2025 - 2030
      • 6.1.3.1.6 Market by Security Device 2025 - 2030
      • 6.1.3.1.7 Market by Network Device 2025 - 2030
      • 6.1.3.1.8 Market by Connected Vehicle Device 2025 - 2030
      • 6.1.3.1.9 Market by Smart Grid Device 2025 - 2030
      • 6.1.3.1.10 Market by Military Device 2025 - 2030
      • 6.1.3.1.11 Market by Energy Management Device 2025 - 2030
      • 6.1.3.1.12 Market by Agriculture Specific Device 2025 - 2030
    • 6.1.3.2 Market by Non-IoT Device 2025 - 2030
    • 6.1.3.3 Market by IoT "Things" 2025 - 2030
  • 6.1.4 Market by Application 2025 - 2030
  • 6.1.5 Market by Industry Vertical 2025 - 2030
    • 6.1.5.1 Market by Healthcare Application 2025 - 2030
    • 6.1.5.2 Market by Manufacturing Application 2025 - 2030
    • 6.1.5.3 Market by Consumer Electronics Application 2025 - 2030
    • 6.1.5.4 Market by Automotive and Transportation Application 2025 - 2030
    • 6.1.5.5 Market by Consumer Retail Application 2025 - 2030
    • 6.1.5.6 Market by Marketing Application 2025 - 2030
    • 6.1.5.7 Market by FinTech Application 2025 - 2030
    • 6.1.5.8 Market by Building and Construction Application 2025 - 2030
    • 6.1.5.9 Market by Agriculture Application 2025 - 2030
    • 6.1.5.10 Market by Security and Surveillance Application 2025 - 2030
    • 6.1.5.11 Market by Government and Military Application 2025 - 2030
    • 6.1.5.12 Market by Human Resource Application 2025 - 2030
    • 6.1.5.13 Market by Legal Application 2025 - 2030
    • 6.1.5.14 Market by Telecommunications and IT Application 2025 - 2030
    • 6.1.5.15 Market by Oil, Gas and Mining Applications 2025 - 2030
    • 6.1.5.16 Market by Logistics Applications 2025 - 2030
    • 6.1.5.17 Market by Education Applications 2025 - 2030
  • 6.1.6 Market by AI in Consumer, Enterprise, Industrial and Government 2025 - 2030
  • 6.1.7 Market in 5G Networks 2025 - 2030
    • 6.1.7.1 Overall AI in 5G Networks Market 2025 - 2030
    • 6.1.7.2 Market in 5G Network by Hardware, Software and Services 2025 - 2030
  • 6.1.8 Market in Edge Computing Networks 2025 - 2030
    • 6.1.8.1 Overall AI in Edge Computing 2025 - 2030
    • 6.1.8.2 Market in Edge Computing Network by Hardware, Software, and Services
  • 6.1.9 Market in Cloud Computing 2025 - 2030
    • 6.1.9.1 Overall AI in Cloud Computing 2025 - 2030
    • 6.1.9.2 Market in Cloud Computing by Hardware, Software, and Services
  • 6.1.10 Market in Quantum Computing 2025 - 2030
    • 6.1.10.1 Overall AI in Quantum Computing 2025 - 2030
    • 6.1.10.2 Market in Quantum Computing by Hardware, Software, and Services
    • 6.1.10.3 Market in Quantum Computing by Hardware
    • 6.1.10.4 Market in Quantum Computing by Software
  • 6.1.11 Market in Big Data Analytics 2025 - 2030
    • 6.1.11.1 Overall AI in Big Data 2025 - 2030
    • 6.1.11.2 Market in Big Data Analytics by Hardware, Software, and Services
  • 6.1.12 Market in IoT 2025 - 2030
    • 6.1.12.1 AI Chipset Market in IoT by Hardware, Software, and Services 2025 - 2030
    • 6.1.12.2 Market in IoT by Deployment Platform 2025 - 2030
    • 6.1.12.3 Market in IoT by Consumer, Enterprise, Industrial, and Government 2025 - 2030
  • 6.1.13 Market in Blockchain Networks 2025 - 2030
    • 6.1.13.1 Market in Blockchain by Hardware, Software, and Services 2025 - 2030
    • 6.1.13.2 Market in Blockchain Solution 2025 - 2030
• 6.2 Regional AI Chipsets Market 2025 - 2030
  • 6.2.1 Market by Region 2025 - 2030
    • 6.2.1.1 North America Market 2025 - 2030
    • 6.2.1.2 Europe Market 2025 - 2030
    • 6.2.1.3 Asia Pacific Market 2025 - 2030
    • 6.2.1.4 Middle East and Africa Market 2025 - 2030
    • 6.2.1.5 Latin America Market 2025 - 2030
• 6.3 AI Chipsets Deployment Forecast 2025 - 2030
  • 6.3.1 Total Global Deployment 2025 - 2030
  • 6.3.2 Deployment by Segment 2025 - 2030
    • 6.3.2.1 Deployment by Product 2025 - 2030
    • 6.3.2.2 Deployment by Technology 2025 - 2030
    • 6.3.2.3 Deployment by Processor Type 2025 - 2030
  • 6.3.3 Deployment by Platform 2025 - 2030
    • 6.3.3.1 Deployment by IoT Device 2025 - 2030
      • 6.3.3.1.1 Deployment by Wearable Device 2025 - 2030
      • 6.3.3.1.2 Deployment by Healthcare Device 2025 - 2030
      • 6.3.3.1.3 Deployment by Smart Appliances 2025 - 2030
      • 6.3.3.1.4 Deployment by Industrial Machines 2025 - 2030
      • 6.3.3.1.5 Deployment by Entertainment Device 2025 - 2030
      • 6.3.3.1.6 Deployment by Security Device 2025 - 2030
      • 6.3.3.1.7 Deployment by Network Device 2025 - 2030
      • 6.3.3.1.8 Deployment by Connected Vehicle Device 2025 - 2030
      • 6.3.3.1.9 Deployment by Smart Grid Device 2025 - 2030
      • 6.3.3.1.10 Deployment by Military Device 2025 - 2030
      • 6.3.3.1.11 Deployment by Energy Management Device 2025 - 2030
      • 6.3.3.1.12 Deployment by Agriculture Specific Device 2025 - 2030
    • 6.3.3.2 Deployment by Non-IoT Device 2025 - 2030
    • 6.3.3.3 Deployment by IoT "Things" 2025 - 2030
  • 6.3.4 Deployment by AI Technology 2025 - 2030
    • 6.3.4.1 Deployment by AI Technology Type 2025 - 2030
    • 6.3.4.2 Deployment by Machine Learning Technology 2025 - 2030
  • 6.3.5 Deployment by Application 2025 - 2030
  • 6.3.6 Deployment by Industry Vertical 2025 - 2030
  • 6.3.7 Deployment by Price Range 2025 - 2030
  • 6.3.8 Deployment by Region 2025 - 2030
    • 6.3.8.1 North America Deployment by Country 2025 - 2030
    • 6.3.8.2 Europe Deployment by Country 2025 - 2030
    • 6.3.8.3 Asia Pacific Deployment by Country 2025 - 2030
    • 6.3.8.4 Middle East and Africa Deployment by Country 2025 - 2030
    • 6.3.8.5 Latin America Deployment by Country 2025 - 2030

7.0 Conclusions and Recommendations

• 7.1 Advertisers and Media Companies
• 7.2 Artificial Intelligence Providers
• 7.3 Automotive Companies
• 7.4 Broadband Infrastructure Providers
• 7.5 Communication Service Providers
• 7.6 Computing Companies
• 7.7 Data Analytics Providers
• 7.8 Immersive Technology (AR, VR, and MR) Providers
• 7.9 Networking Equipment Providers
• 7.10 Networking Security Providers
• 7.11 Semiconductor Companies
• 7.12 IoT Suppliers and Service Providers
• 7.13 Software Providers
• 7.14 Smart City System Integrators
• 7.15 Automation System Providers
• 7.16 Social Media Companies
• 7.17 Workplace Solution Providers
• 7.18 Large Businesses, SMBs, and Governments
• 7.19 Future Market Direction
• 7.20 Recommendations for Investors