AIの世界市場：技術タイプ、展開方法、ソリューションタイプ、統合（技術、ネットワーク、デバイス）、業界別（2023年～2028年）

世界のAIソリューションの市場規模は、2028年までに3,012億米ドルに達し、CAGRで29.4%の成長が予測されています。

当レポートでは、世界のAI市場について調査分析し、技術と用途の分析、地域とセグメントごとの予測、競合情勢などを提供しています。

目次

第1章 エグゼクティブサマリー

第2章 イントロダクション

• AIの定義
• AIタイプ
• AIシステム
• AIの成果と企業のメリット
• コグニティブコンピューティングと群知能
• AI市場のSWOT分析
• AI技術の目標
• AIツールとアプローチ
• AI市場の予測
• AI市場情勢
• AIの特許と規制の枠組み
• バリューチェーン分析
• 競合情勢分析

第3章 技術と用途の分析

• AI技術マトリックス
• AI技術の準備状況
• AI技術とソリューションの統合
• AIアプリ配信プラットフォームとビジネスモデル
• 企業の採用とAIへの投資
• AIの用途：業界別

第4章 AIエコシステム分析

• NVidia Corporation
• IBM Corporation
• Intel Corporation
• Samsung Electronics Co Ltd.
• Microsoft Corporation
• Google Inc.
• Baidu Inc.
• Qualcomm Incorporated
• Huawei Technologies Co. Ltd.
• Fujitsu Ltd.
• H2O.ai
• Juniper Networks, Inc.
• Nokia Corporation
• ARM Limited
• Hewlett Packard Enterprise
• Oracle Corporation
• SAP
• Siemens AG
• Apple Inc.
• General Electric
• ABB Ltd.
• LG Electronics
• Koninklijke Philips N.V
• Whirlpool Corporation
• AB Electrolux
• Wind River Systems Inc.
• Cumulocity GmBH
• Digital Reasoning Systems Inc.
• SparkCognition Inc.
• KUKA AG
• Rethink Robotics
• Motion Controls Robotics Inc.
• Panasonic Corporation
• Haier Group Corporation
• Miele
• Next IT Corporation
• Nuance Communications Inc.
• InteliWISE
• Facebook Inc.
• Salesforce
• Amazon Inc.
• SK Telecom
• motion.ai
• Buddy
• AOL Inc.
• Tesla Inc.
• Inbenta Technologies Inc.
• Cisco Systems
• MAANA
• Veros Systems Inc.
• PointGrab Ltd.
• Tellmeplus
• Xiaomi Technology Co. Ltd.
• Leap Motion Inc.
• Atmel Corporation
• Texas Instruments Inc.
• Advanced Micro Devices Inc.
• XILINX Inc.
• Omron Adept Technology
• Gemalto N.V.
• Micron Technology
• SAS Institute Inc.
• AIBrian Inc.
• QlikTech International AB
• MicroStrategy Incorporated
• Brighterion Inc.
• IPsoft Inc.
• 24/7.ai Inc.
• General Vision Inc.
• Sentient Technologies Holdings Limited
• Graphcore
• CloudMinds
• Rockwell Automation Inc.
• Tend.ai
• SoftBank Robotics Holding Corp.
• iRobot Corp.
• Lockheed Martin
• Spacex
• Fraight AI
• Infor Global Solutions
• Presenso
• Teknowlogi

第5章 市場の分析と予測（2023年～2028年）

• AI市場
• AI市場：セグメント別
  • ハードウェア
  • ソフトウェア
  • サービス
• AI市場：管理機能別
• AI市場：技術別
  • AI技術：主なソリューションタイプ別
  • 機械学習：ソリューションタイプ別
• AI市場：業界別
  • 医療
  • 製造
  • コンシューマーエレクトロニクス
  • 自動車、輸送
  • 小売・アパレル
  • マーケティング、広告
  • フィンテック
  • 建築、建設
  • 農業
  • セキュリティ、監視
  • 政府、軍事、航空宇宙
  • 人事
  • 法律
  • 通信、IT
  • 石油、ガス、鉱業
  • ロジスティクス
  • 教育、指導
• AI市場：ソリューションタイプ別
• AI市場：展開方法別
  • AIの展開オプション
  • プライベートクラウド展開 vs. パブリッククラウド展開
• AI市場：AIシステム別
• AI市場：AIタイプ別
• AI市場：接続性別
  • 非通信接続
  • 通信接続
  • 接続規格
  • 企業
• IoTネットワークにおけるAI市場
• IoTエッジコンピューティングにおけるAI市場
• AIアナリティクス市場
• AI市場：インテントベースネットワーキング別
• 仮想化インフラにおけるAI市場
• 5GネットワークにおけるAI市場
• ブロックチェーンネットワークにおけるAI市場
• AI市場：地域別
  • 北米のAI市場：国別
  • アジア太平洋のAI市場：国別
  • 欧州のAI市場：国別
  • 中東・アフリカのAI市場：国別
  • ラテンアメリカのAI市場：国別
• AI組み込みユニットの展開の予測（2023年～2028年）
  • 全体的なAI組み込みユニットの展開
  • AI組み込みユニットの展開：ソリューション別
  • IoTユニットの展開：地域別

第6章 結論・提言

Figures

• Figure 1: AI Technology Goals and Outcomes
• Figure 2: AI Device and Things Matrix
• Figure 3: AI Software and Platform Matrix
• Figure 4: AI Component and Chipsets Matrix
• Figure 5: AI Impact Landscape
• Figure 6: AI Vendor Landscape
• Figure 7: Supervised, Unsupervised, and Reinforcement Learning
• Figure 8: AI Technology Matrix
• Figure 9: AI Technology Readiness Matrix
• Figure 10: Deep Learning and Emotion AI
• Figure 11: AI Predictive Analytics Layer
• Figure 12: 5G NR Requirement for AI Network
• Figure 13: AI-Driven Smart Machine Landscape
• Figure 14: IIoT MLaaS Landscape
• Figure 15: AI Smart Workplace Automation Landscape
• Figure 16: AI Application Matrix
• Figure 17: AI-Driven Enterprise Productivity Gains
• Figure 18: AI Supervised Human Worker
• Figure 19: AI Industry Application Matrix
• Figure 20: Huawei IoT Mushroom PaaS Platform
• Figure 21: Presenso Predictive Asset Management Solution
• Figure 22: Global AI Market 2023-2028
• Figure 23: Global AI Market by IoT Edge Computing 2023-2028
• Figure 24: Global AI Analytics Market 2023-2028
• Figure 25: Global AI Market by Intent-Based Networking 2023-2028
• Figure 26: Global AI Market by Virtualization 2023-2028
• Figure 27: Global AI Market by 5G Network 2023-2028
• Figure 28: Global AI Market by Blockchain Network 2023-2028
• Figure 29: Global AI Embedded Unit Deployment 2023-2028

Tables

• Table 1: AI External Investment 2023-2028
• Table 2: AI-Driven Economic Transaction Percentage
• Table 3: AI Business Analytics Software Percentage
• Table 4: AI Self Service Visual Discovery
• Table 5: AI Building Security System Percentage
• Table 6: AI-Generated Business Content Percentage
• Table 7: Intel NAMD System
• Table 8: Juniper Networks Product Snapshot
• Table 9: Global AI Market by Segments 2023-2028
• Table 10: Global AI Market by Hardware 2023-2028
• Table 11: Global AI Market by Embedded Device 2023-2028
• Table 12: Global AI Market by Non-IoT Device 2023-2028
• Table 13: Global AI Market by IoT Device 2023-2028
• Table 14: Global AI Market by Wearable Device 2023-2028
• Table 15: Global AI Market by Medical and Healthcare Device 2023-2028
• Table 16: Global AI Market by Smart Appliances 2023-2028
• Table 17: Global AI Market by Industrial Machines 2023-2028
• Table 18: Global AI Market by Robots and Drone 2023-2028
• Table 19: Global AI Market by Service Robots 2023-2028
• Table 20: Global AI Market by Entertainment Device 2023-2028
• Table 21: Global AI Market by Security Device 2023-2028
• Table 22: Global AI Market by Networking Device 2023-2028
• Table 23: Global AI Market by In-Vehicle IoT Device 2023-2028
• Table 24: Global AI Market by Smart Grid Device 2023-2028
• Table 25: Global AI Market by Military Device 2023-2028
• Table 26: Global AI Market by Energy Management Device 2023-2028
• Table 27: Global AI Market by Agriculture Specific Device 2023-2028
• Table 28: Global AI Market by Embedded IoT System 2023-2028
• Table 29: Global AI Market by Semiconductor Components 2023-2028
• Table 30: Global AI Market by Wearable and Embedded Components 2023-2028
• Table 31: Global AI Market by RTLS 2023-2028
• Table 32: Global AI Market by Barcode 2023-2028
• Table 33: Global AI Market by Barcode Scanner 2023-2028
• Table 34: Global AI Market by Barcode Scanner Technology Labels 2023-2028
• Table 35: Global AI Market by Barcode Stickers 2023-2028
• Table 36: Global AI Market by RFID 2023-2028
• Table 37: Global AI Market by RFID Tags 2023-2028
• Table 38: Global AI Market by Sensors 2023-2028
• Table 39: Global AI Market by Processors 2023-2028
• Table 40: Global AI Market by Software 2023-2028
• Table 41: Global AI Market by Software Category 2023-2028
• Table 42: Global AI Market by AI Platforms 2023-2028
• Table 43: Global AI Market by Services 2023-2028
• Table 44: Global AI Market by Professional Services 2023-2028
• Table 45: Global AI Market by Management Functions 2023-2028
• Table 46: Global AI Market by Technology 2023-2028
• Table 47: Global AI Market by Machine Learning 2023-2028
• Table 48: Global AI Market by Industry Vertical 2023-2028
• Table 49: Global AI Market by Medical and Healthcare Application 2023-2028
• Table 50: Global AI Market by Manufacturing Application 2023-2028
• Table 51: Global AI Market by Consumer Electronics Application 2023-2028
• Table 52: Global AI Market by Automotive and Transportation Application 2023-2028
• Table 53: Global AI Market by Retail and Apparel Application 2023-2028
• Table 54: Global AI Market by Marketing and Advertising Application 2023-2028
• Table 55: Global AI Market by FinTech Application 2023-2028
• Table 56: Global AI Market by Building and Construction Application 2023-2028
• Table 57: Global AI Market by Agriculture Application 2023-2028
• Table 58: Global AI Market by Security and Surveillance Application 2023-2028
• Table 59: Global AI Market by Government, Military, and Aerospace Application 2023-2028
• Table 60: Global AI Market by Human Resource Application 2023-2028
• Table 61: Global AI Market by Legal and Law Application 2023-2028
• Table 62: Global AI Market by Telecommunication and IT Application 2023-2028
• Table 63: Global AI Market by Oil, Gas, and Mining Application 2023-2028
• Table 64: Global AI Market by Logistics Application 2023-2028
• Table 65: Global AI Market by Education and Learning Application 2023-2028
• Table 66: Global AI Market by Solution 2023-2028
• Table 67: Global AI Market by Deployment 2023-2028
• Table 68: Global AI Market by Cloud Deployment 2023-2028
• Table 69: Global AI Market by AI System 2023-2028
• Table 70: Global AI Market by AI System 2023-2028
• Table 71: Global AI Market by Connectivity 2023-2028
• Table 72: Global AI Market by Non-Telecom Connectivity 2023-2028
• Table 73: Global AI Market by Telecom Connectivity 2023-2028
• Table 74: Global AI Market by Connectivity Standard 2023-2028
• Table 75: Global AI Market by Enterprise 2023-2028
• Table 76: Global AI Market by IoT Network 2023-2028
• Table 77: Global AI Market by Region 2023-2028
• Table 78: North America AI Market by Country 2023-2028
• Table 79: APAC AI Market by Country 2023-2028
• Table 80: Europe AI Market by Country 2023-2028
• Table 81: MEA AI Market by Country 2023-2028
• Table 82: Latin America AI Market by Country 2023-2028
• Table 83: Global AI Embedded IoT Unit Deployment by Solution 2023-2028
• Table 84: Global AI Embedded Unit Deployment by Non-IoT Device 2023-2028
• Table 85: Global AI Embedded Unit Deployment by IoT Device 2023-2028
• Table 86: Global AI Embedded Unit Deployment by IoT Things and Objects 2023-2028
• Table 87: Global AI Embedded Unit Deployment by IoT Semiconductor 2023-2028
• Table 88: AI Embedded Unit Deployment by Software 2023-2028
• Table 89: AI Embedded Unit Deployment by Region 2023-2028
• Table 90: North America AI Embedded Unit Deployment by Leading Country 2023-2028
• Table 91: APAC AI Embedded Unit Deployment by Leading Country 2023-2028
• Table 92: Europe AI Embedded Unit Deployment by Leading Country 2023-2028
• Table 93: MEA AI Embedded Unit Deployment by Leading Country 2023-2028
• Table 94: Latin America AI Embedded Unit Deployment by Leading Country 2023-2028

This report evaluates the AI technology and solutions market, including an analysis of leading AI vendors, strategies, solutions and applications. The report assesses the state of AI development, implementation, and operation. The report analyzes the forecasts AI market sizing for by technology type, deployment method, solution type, network and technology integration, and by industry verticals from 2023 through 2028.

Select Report Findings:

• Total global AI solution market will reach $301.2 billion by 2028, growing at 29.4% CAGR

• Global unsupervised machine learning market will reach $15.6 billion by 2028, growing at 25.1% CAGR

• The combination of AI and IoT (AIoT) will drive up to 27% of new AI systems integration, primarily involving IIoT

• AI solutions in a public cloud environment shall be almost three times those of private cloud deployments through 2028

• Key AI technology systems integration opportunities include Expert Systems, Decision Support Systems, Fuzzy Systems, and Multi-Agent Systems

Artificial Intelligence (AI) represents a wide variety of technologies including Machine Learning, Deep Learning, Natural language processing, and more. We see AI increasingly embedded within many systems and applications including everything from data management to retail shopping.

The AI segment is currently very fragmented, characterized by most companies focusing on silo approaches to solutions. Longer-term, the publisher sees many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics.

There are many potential use cases for AI within the cybersecurity domain. For example, AI may be used in IoT to bolster security, safeguard assets, and reduce fraud. There are varying opinions about security in IoT.

For example, some companies favor a distributed(decentralized) approach whereas other companies believe a more centralized approach leveraging strictly centralized cloud architecture makes more sense. We see little possibility in which signature-based security solutions will work with IoT in an edge computing environment for a variety of reasons including the limitation on the throughput of communications between distributed endpoints and centralized cloud.

AI has various advantages including the fact that it is a more lightweight application (because it does not require all the data that comes with tracking digital signatures/code for known viruses), more effective in identifying malware, easier and less costly to maintain as there is no need to constantly identify new malware code. This is all because AI-based security is looking for malicious behaviors rather than known malicious code.

Longer-term, AI will move beyond fraud prevention and prevention of malicious acts as AI will be used to feed advanced analytics and decision making. This will be especially true in IoT solutions involving real-time data as AI will be used to make determinations for autonomous actions.

Consumer-facing apps and services supported by AI are many and varied including chatbots and Virtual Personal Assistants (VPA) in support of customer care and lifestyle enhancement. The automobile industry is another example in which AI is becoming increasingly useful, both in the near term for solutions such as the inclusion of VPAs, and longer-term use cases such as support of self-driving vehicles. Another consumer market area in which AI will be integrated is wearable technology. As wearables become more mainstream and integrate into everyday life with increasing dependency, there will be a need for integration with Artificial Intelligence, Big Data, and Analytics.

AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service. One area important to enterprise will be Intelligent Decision Support Systems (IDSS), which are a form of Expert System that utilize AI to optimize decision making. IDSS will be used in many fields including agriculture, medicine, urban development, and other areas. IDSS will also be used in policy making and strategy at the highest levels of enterprises as well as governmental organizations.

Select Companies in Report:

Table of Contents

1.0. Executive Summary

2.0. Introduction

• 2.1. Defining Artificial Intelligence
  • 2.1.1. Artificial General Intelligence
  • 2.1.2. Artificial Super Intelligence
  • 2.1.3. Artificial Intelligence Language
  • 2.1.4. Conversational User Interfaces
• 2.2. Artificial Intelligence Types
• 2.3. Artificial Intelligence Systems
• 2.4. AI Outcomes and Enterprise Benefits
• 2.5. Cognitive Computing and Swarm Intelligence
• 2.6. AI Market SWOT Analysis
  • 2.6.1. Market Drivers and Strengths
  • 2.6.2. Market Constraints and Threats
  • 2.6.3. Market Opportunities
• 2.7. AI Technology Goals
• 2.8. AI Tools and Approaches
• 2.9. AI Market Predictions
• 2.10. AI Market Landscape
  • 2.10.1. Embedded Devices and Things
  • 2.10.2. AI Software and Platforms
  • 2.10.3. AI Component and Chipsets
  • 2.10.4. AI Services and Deployment Options
• 2.11. AI Patent and Regulatory Framework
• 2.12. Value Chain Analysis
  • 2.12.1. Artificial Intelligence Companies
  • 2.12.2. IoT Companies and Suppliers
  • 2.12.3. Data Analytics Providers
  • 2.12.4. Connectivity Infrastructure Providers
  • 2.12.5. Components and Chipsets Manufacturers
  • 2.12.6. Software Developers and Data Scientists
  • 2.12.7. End Users
• 2.13. Competitive Landscape Analysis

3.0. Technology and Application Analysis

• 3.1. AI Technology Matrix
  • 3.1.1. Machine Learning
    • 3.1.1.1. Deep Learning
    • 3.1.1.2. Supervised vs. Unsupervised Learning
    • 3.1.1.3. Reinforcement Learning
  • 3.1.2. Natural Language Processing
  • 3.1.3. Computer Vision
  • 3.1.4. Speech Recognition
  • 3.1.5. Context-Aware Processing
  • 3.1.6. Artificial Neural Network
  • 3.1.7. Predictive APIs
  • 3.1.8. Autonomous Robotics
• 3.2. AI Technology Readiness
  • 3.2.1. Machine Learning APIs
  • 3.2.2. IBM Watson API
  • 3.2.3. Microsoft Azure Machine Learning API
  • 3.2.4. Google Prediction API
  • 3.2.5. Amazon Machine Learning API
  • 3.2.6. BigML
  • 3.2.7. AT&T Speech API
  • 3.2.8. Wit.ai
  • 3.2.9. AlchemyAPI
  • 3.2.10. Diffbot
  • 3.2.11. PredictionIO
  • 3.2.12. General Application Environment
• 3.3. AI Technology and Solution Integration
  • 3.3.1. AI in Emotion Detection Solutions
    • 3.3.1.1. Facial Detection APIs
    • 3.3.1.2. Text Recognition APIs
    • 3.3.1.3. Speech Recognition APIs
  • 3.3.2. AI in IoT Applications and Big Data Analytics
  • 3.3.3. AI in Data Science and Predictive Analytics
  • 3.3.4. AI in Edge Computing and 5G Network
  • 3.3.5. AI in Cloud Computing and Machine Learning
  • 3.3.6. AI in Smart Machines and Digital Twin Technologies
  • 3.3.7. AI in Factory Automation and Industry 4.0
  • 3.3.8. AI in Building Automation and the Smart Workplace
  • 3.3.9. AI in Cloud Robotics and Public Security
  • 3.3.10. AI in Self-Driven Networks
  • 3.3.11. AI in Predictive 3D Design
• 3.4. AI Application Delivery Platforms and Business Models
  • 3.4.1. The Role of AI Software
  • 3.4.2. AI and Machine Learning as a Service
• 3.5. Enterprise Adoption and AI Investment
  • 3.5.1. Market Leaders in AI Funding and Initiatives
  • 3.5.2. Enterprise AI Drive Productivity Gains
• 3.6. AI Applications in Industry Verticals
  • 3.6.1. Leading Industry Verticals in AI Solution Implementation
  • 3.6.2. AI Use Cases by Company and Solution

4.0. AI Ecosystem Analysis

• 4.1. NVidia Corporation
• 4.2. IBM Corporation
• 4.3. Intel Corporation
• 4.4. Samsung Electronics Co Ltd.
• 4.5. Microsoft Corporation
• 4.6. Google Inc.
• 4.7. Baidu Inc.
• 4.8. Qualcomm Incorporated
• 4.9. Huawei Technologies Co. Ltd.
• 4.10. Fujitsu Ltd.
• 4.11. H2O.ai
• 4.12. Juniper Networks, Inc.
• 4.13. Nokia Corporation
• 4.14. ARM Limited
• 4.15. Hewlett Packard Enterprise
• 4.16. Oracle Corporation
• 4.17. SAP
• 4.18. Siemens AG
• 4.19. Apple Inc.
• 4.20. General Electric
• 4.21. ABB Ltd.
• 4.22. LG Electronics
• 4.23. Koninklijke Philips N.V
• 4.24. Whirlpool Corporation
• 4.25. AB Electrolux
• 4.26. Wind River Systems Inc.
• 4.27. Cumulocity GmBH
• 4.28. Digital Reasoning Systems Inc.
• 4.29. SparkCognition Inc.
• 4.30. KUKA AG
• 4.31. Rethink Robotics
• 4.32. Motion Controls Robotics Inc.
• 4.33. Panasonic Corporation
• 4.34. Haier Group Corporation
• 4.35. Miele
• 4.36. Next IT Corporation
• 4.37. Nuance Communications Inc.
• 4.38. InteliWISE
• 4.39. Facebook Inc.
• 4.40. Salesforce
• 4.41. Amazon Inc.
• 4.42. SK Telecom
• 4.43. motion.ai
• 4.44. Buddy
• 4.45. AOL Inc.
• 4.46. Tesla Inc.
• 4.47. Inbenta Technologies Inc.
• 4.48. Cisco Systems
• 4.49. MAANA
• 4.50. Veros Systems Inc.
• 4.51. PointGrab Ltd.
• 4.52. Tellmeplus
• 4.53. Xiaomi Technology Co. Ltd.
• 4.54. Leap Motion Inc.
• 4.55. Atmel Corporation
• 4.56. Texas Instruments Inc.
• 4.57. Advanced Micro Devices Inc.
• 4.58. XILINX Inc.
• 4.59. Omron Adept Technology
• 4.60. Gemalto N.V.
• 4.61. Micron Technology
• 4.62. SAS Institute Inc.
• 4.63. AIBrian Inc.
• 4.64. QlikTech International AB
• 4.65. MicroStrategy Incorporated
• 4.66. Brighterion Inc.
• 4.67. IPsoft Inc.
• 4.68. 24/7.ai Inc.
• 4.69. General Vision Inc.
• 4.70. Sentient Technologies Holdings Limited
• 4.71. Graphcore
• 4.72. CloudMinds
• 4.73. Rockwell Automation Inc.
• 4.74. Tend.ai
• 4.75. SoftBank Robotics Holding Corp.
• 4.76. iRobot Corp.
• 4.77. Lockheed Martin
• 4.78. Spacex
• 4.79. Fraight AI
• 4.80. Infor Global Solutions
• 4.81. Presenso
• 4.82. Teknowlogi

5.0. Market Analysis and Forecasts 2023-2028

• 5.1. AI Market
• 5.2. AI Market by Segment
  • 5.2.1. Hardware
    • 5.2.1.1. Embedded Devices
      • 5.2.1.1.1. Non-IoT Device
      • 5.2.1.1.2. IoT Devices
        • 5.2.1.1.2.1. Wearable Devices
        • 5.2.1.1.2.2. Medical and Healthcare Devices
        • 5.2.1.1.2.3. Smart Appliances
        • 5.2.1.1.2.4. Industrial Machines
        • 5.2.1.1.2.5. Robots and Drones
        • 5.2.1.1.2.6. Service Robots
        • 5.2.1.1.2.7. Entertainment Devices
        • 5.2.1.1.2.8. Security Devices
        • 5.2.1.1.2.9. Networking Devices
        • 5.2.1.1.2.10. In-Vehicle IoT Devices
        • 5.2.1.1.2.11. Smart Grid Devices
        • 5.2.1.1.2.12. Military Devices
        • 5.2.1.1.2.13. Energy Management Devices
        • 5.2.1.1.2.14. Agriculture Specific Devices
    • 5.2.1.2. Embedded IoT Systems
    • 5.2.1.3. Semiconductor Components
      • 5.2.1.3.1. Wearable and Embedded Components
        • 5.2.1.3.1.1. Real-Time Location Systems
        • 5.2.1.3.1.2. Barcode
        • 5.2.1.3.1.3. Barcode Scanner
        • 5.2.1.3.1.4. Barcode Scanner Technology Levels
        • 5.2.1.3.1.5. Barcode Stickers
        • 5.2.1.3.1.6. RFID
        • 5.2.1.3.1.7. RFID Tags
        • 5.2.1.3.1.8. Sensor
      • 5.2.1.3.2. Processors
  • 5.2.2. Software
    • 5.2.2.1. Software Category
      • 5.2.2.1.1. AI Platforms
  • 5.2.3. Services
    • 5.2.3.1. Professional Services
• 5.3. AI Market by Management Functions
• 5.4. AI Market by Technology
  • 5.4.1. AI Technology by Major Solution Type
  • 5.4.2. Machine Learning by Solution Type
• 5.5. AI Market by Industry Vertical
  • 5.5.1. Medical and Healthcare
  • 5.5.2. Manufacturing
  • 5.5.3. Consumer Electronics
  • 5.5.4. Automotive and Transportation
  • 5.5.5. Retail and Apparel
  • 5.5.6. Marketing and Advertising
  • 5.5.7. FinTech
  • 5.5.8. Building and Construction
  • 5.5.9. Agriculture
  • 5.5.10. Security and Surveillance
  • 5.5.11. Government, Military, and Aerospace
  • 5.5.12. Human Resource
  • 5.5.13. Legal and Law
  • 5.5.14. Telecommunication and IT
  • 5.5.15. Oil, Gas, and Mining
  • 5.5.16. Logistics
  • 5.5.17. Education and Instruction
• 5.6. AI Market by Solution Type
• 5.7. AI Market by Deployment Method
  • 5.7.1. AI Deployment Options
  • 5.7.2. Private vs. Public Cloud Deployment
• 5.8. AI Market by AI System
• 5.9. AI Market by AI Type
• 5.10. AI Market by Connectivity
  • 5.10.1. Non-Telecom Connectivity
  • 5.10.2. Telecom Connectivity
  • 5.10.3. Connectivity Standards
  • 5.10.4. Enterprise
• 5.11. AI Market in IoT Networks
• 5.12. AI Market in IoT Edge Computing
• 5.13. AI Analytics Market
• 5.14. AI Market by Intent-Based Networking
• 5.15. AI Market in Virtualized Infrastructure
• 5.16. AI Market in 5G Networks
• 5.17. AI Market in Blockchain Networks
• 5.18. AI Market by Region
  • 5.18.1. North America AI Market by Country
  • 5.18.2. APAC AI Market by Country
  • 5.18.3. Europe AI Market by Country
  • 5.18.4. MEA AI Market by Country
  • 5.18.5. Latin America AI Market by Country
• 5.19. AI Embedded Unit Deployment Forecast 2023-2028
  • 5.19.1. Overall AI Embedded Unit Deployment
  • 5.19.2. AI Embedded Unit Deployment by Solution
    • 5.19.2.1. Non-IoT Devices
    • 5.19.2.2. IoT Devices
    • 5.19.2.3. IoT Things/Objects
    • 5.19.2.4. IoT Semiconductors
    • 5.19.2.5. Software
  • 5.19.3. IoT Unit Deployment by Region
    • 5.19.3.1. North America
    • 5.19.3.2. Asia Pacific
    • 5.19.3.3. Europe
    • 5.19.3.4. Middle East and Africa
    • 5.19.3.5. Latin America

6.0. Conclusions and Recommendations