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Market Research Report

AI Market by Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, and Devices) and Industry Verticals 2021 - 2026

Published by Mind Commerce Product code 999393
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AI Market by Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, and Devices) and Industry Verticals 2021 - 2026
Published: April 9, 2021 Content info: 231 Pages
Description

Overview:

This report evaluates the AI technology and solutions market, including 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 2021 through 2026.

Select Report Findings:

  • Total global AI solution market will reach $227.5B by 2026, growing at 28.6% CAGR
  • Global unsupervised machine learning market will reach $13.9 by 2026, growing at 21.8% CAGR
  • Combination of AI and IoT (AIoT) will drive up to 23% 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 2026
  • 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. Mind Commerce sees AI increasingly embedded within many systems and applications including everything from data management to retail shopping.

The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer term, Mind Commerce 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. Mind Commerce sees minimal chance in which signature-based security solutions will work with IoT in an edge computing environment for a variety of reasons including the limitation on throughput of communications between distributed end-points 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 inclusion of VPAs, and longer-term use cases such as AI 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 which 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 enterprise as well as governmental organizations.

Companies in Report:

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

Table of Contents

1.0 Executive Summary

  • 1.1 Overview
  • 1.2 Research Objectives
  • 1.3 Select Findings

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 (AMD) 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 2021 - 2026

  • 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 Devices
        • 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 Larin America AI Market by Country
  • 5.19 AI Embedded Unit Deployment Forecast 2021 - 2026
    • 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

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 2021 - 2026
  • Figure 23: Global AI Market by IoT Edge Computing 2021 - 2026
  • Figure 24: Global AI Analytics Market 2021 - 2026
  • Figure 25: Global AI Market by Intent Based Networking 2021 - 2026
  • Figure 26: Global AI Market by Virtualization 2021 - 2026
  • Figure 27: Global AI Market by 5G Network 2021 - 2026
  • Figure 28: Global AI Market by Blockchain Network 2021 - 2026
  • Figure 29: Global AI Embedded Unit Deployment 2021 - 2026

Tables

  • Table 1: AI External Investment 2021 - 2026
  • 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 2021 - 2026
  • Table 10: Global AI Market by Hardware 2021 - 2026
  • Table 11: Global AI Market by Embedded Device 2021 - 2026
  • Table 12: Global AI Market by Non-IoT Device 2021 - 2026
  • Table 13: Global AI Market by IoT Device 2021 - 2026
  • Table 14: Global AI Market by Wearable Device 2021 - 2026
  • Table 15: Global AI Market by Medical and Healthcare Device 2021 - 2026
  • Table 16: Global AI Market by Smart Appliances 2021 - 2026
  • Table 17: Global AI Market by Industrial Machines 2021 - 2026
  • Table 18: Global AI Market by Robots and Drone 2021 - 2026
  • Table 19: Global AI Market by Service Robots 2021 - 2026
  • Table 20: Global AI Market by Entertainment Device 2021 - 2026
  • Table 21: Global AI Market by Security Device 2021 - 2026
  • Table 22: Global AI Market by Networking Device 2021 - 2026
  • Table 23: Global AI Market by In-Vehicle IoT Device 2021 - 2026
  • Table 24: Global AI Market by Smart Grid Device 2021 - 2026
  • Table 25: Global AI Market by Military Device 2021 - 2026
  • Table 26: Global AI Market by Energy Management Device 2021 - 2026
  • Table 27: Global AI Market by Agriculture Specific Device 2021 - 2026
  • Table 28: Global AI Market by Embedded IoT System 2021 - 2026
  • Table 29: Global AI Market by Semiconductor Components 2021 - 2026
  • Table 30: Global AI Market by Wearable and Embedded Components 2021 - 2026
  • Table 31: Global AI Market by RTLS 2021 - 2026
  • Table 32: Global AI Market by Barcode 2021 - 2026
  • Table 33: Global AI Market by Barcode Scanner 2021 - 2026
  • Table 34: Global AI Market by Barcode Scanner Technology Labels 2021 - 2026
  • Table 35: Global AI Market by Barcode Stickers 2021 - 2026
  • Table 36: Global AI Market by RFID 2021 - 2026
  • Table 37: Global AI Market by RFID Tags 2021 - 2026
  • Table 38: Global AI Market by Sensors 2021 - 2026
  • Table 39: Global AI Market by Processors 2021 - 2026
  • Table 40: Global AI Market by Software 2021 - 2026
  • Table 41: Global AI Market by Software Category 2021 - 2026
  • Table 42: Global AI Market by AI Platforms 2021 - 2026
  • Table 43: Global AI Market by Services 2021 - 2026
  • Table 44: Global AI Market by Professional Services 2021 - 2026
  • Table 45: Global AI Market by Management Functions 2021 - 2026
  • Table 46: Global AI Market by Technology 2021 - 2026
  • Table 47: Global AI Market by Machine Learning 2021 - 2026
  • Table 48: Global AI Market by Industry Vertical 2021 - 2026
  • Table 49: Global AI Market by Medical and Healthcare Application 2021 - 2026
  • Table 50: Global AI Market by Manufacturing Application 2021 - 2026
  • Table 51: Global AI Market by Consumer Electronics Application 2021 - 2026
  • Table 52: Global AI Market by Automotive and Transportation Application 2021 - 2026
  • Table 53: Global AI Market by Retail and Apparel Application 2021 - 2026
  • Table 54: Global AI Market by Marketing and Advertising Application 2021 - 2026
  • Table 55: Global AI Market by FinTech Application 2021 - 2026
  • Table 56: Global AI Market by Building and Construction Application 2021 - 2026
  • Table 57: Global AI Market by Agriculture Application 2021 - 2026
  • Table 58: Global AI Market by Security and Surveillance Application 2021 - 2026
  • Table 59: Global AI Market by Government, Military, and Aerospace Application 2021 - 2026
  • Table 60: Global AI Market by Human Resource Application 2021 - 2026
  • Table 61: Global AI Market by Legal and Law Application 2021 - 2026
  • Table 62: Global AI Market by Telecommunication and IT Application 2021 - 2026
  • Table 63: Global AI Market by Oil, Gas, and Mining Application 2021 - 2026
  • Table 64: Global AI Market by Logistics Application 2021 - 2026
  • Table 65: Global AI Market by Education and Learning Application 2021 - 2026
  • Table 66: Global AI Market by Solution 2021 - 2026
  • Table 67: Global AI Market by Deployment 2021 - 2026
  • Table 68: Global AI Market by Cloud Deployment 2021 - 2026
  • Table 69: Global AI Market by AI System 2021 - 2026
  • Table 70: Global AI Market by AI System 2021 - 2026
  • Table 71: Global AI Market by Connectivity 2021 - 2026
  • Table 72: Global AI Market by Non-Telecom Connectivity 2021 - 2026
  • Table 73: Global AI Market by Telecom Connectivity 2021 - 2026
  • Table 74: Global AI Market by Connectivity Standard 2021 - 2026
  • Table 75: Global AI Market by Enterprise 2021 - 2026
  • Table 76: Global AI Market by IoT Network 2021 - 2026
  • Table 77: Global AI Market by Region 2021 - 2026
  • Table 78: North America AI Market by Country 2021 - 2026
  • Table 79: APAC AI Market by Country 2021 - 2026
  • Table 80: Europe AI Market by Country 2021 - 2026
  • Table 81: MEA AI Market by Country 2021 - 2026
  • Table 82: Latin America AI Market by Country 2021 - 2026
  • Table 83: Global AI Embedded IoT Unit Deployment by Solution 2021 - 2026
  • Table 84: Global AI Embedded Unit Deployment by Non-IoT Device 2021 - 2026
  • Table 85: Global AI Embedded Unit Deployment by IoT Device 2021 - 2026
  • Table 86: Global AI Embedded Unit Deployment by IoT Things and Objects 2021 - 2026
  • Table 87: Global AI Embedded Unit Deployment by IoT Semiconductor 2021 - 2026
  • Table 88: AI Embedded Unit Deployment by Software 2021 - 2026
  • Table 89: AI Embedded Unit Deployment by Region 2021 - 2026
  • Table 90: North America AI Embedded Unit Deployment by Leading Country 2021 - 2026
  • Table 91: APAC AI Embedded Unit Deployment by Leading Country 2021 - 2026
  • Table 92: Europe AI Embedded Unit Deployment by Leading Country 2021 - 2026
  • Table 93: MEA AI Embedded Unit Deployment by Leading Country 2021 - 2026
  • Table 94: Latin America AI Embedded Unit Deployment by Leading Country 2021 - 2026
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