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市場調查報告書

通訊部門·商業部門·各種用途·引進處的人工智能及認知式運算:IoT,資料分析,虛擬個人助手的人工智能(2017年∼2021年)

Artificial Intelligence and Cognitive Computing in Communications, Applications, and Commerce: AI in Internet of Things (IoT), Data Analytics, and Virtual Private Assistants 2017 - 2022

出版商 Mind Commerce 商品編碼 520809
出版日期 內容資訊 英文 487 Pages
商品交期: 最快1-2個工作天內
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通訊部門·商業部門·各種用途·引進處的人工智能及認知式運算:IoT,資料分析,虛擬個人助手的人工智能(2017年∼2021年) Artificial Intelligence and Cognitive Computing in Communications, Applications, and Commerce: AI in Internet of Things (IoT), Data Analytics, and Virtual Private Assistants 2017 - 2022
出版日期: 2017年06月29日 內容資訊: 英文 487 Pages
簡介

本報告組提供通訊部門·商業部門·各種用途·引進處的人工智慧及認知式運算,資料分析·虛擬個人助手的人工智能之各市場機會調查,並彙整主要的技術區分和概要,主要的適用領域,各種區分的市場趨勢,IoT·bikkudeta分析的重要性,引進·利用案例,以及主要企業的簡介等資訊。

第1部分 通訊部門·商業部門·各種用途·引進處的人工智能及認知式運算

第1章 簡介

第2章 摘要整理

第3章 人工智能

  • 概要
  • 市場定義
  • 人工智能的實踐性方法
  • 機器學習
  • Deep學習
  • 認知式運算
  • 應用的人工智能的演算法
    • 自然語言處理
    • 機器知覺
    • 資料探勘
    • 行動·操作

第4章 智慧財產權的龍頭:國家·各企業

  • 人工智能的專利
  • 人工智能的專利:各主要國家
  • 機器學習的專利
  • 機器學習的專利:各主要國家
  • 認知式運算的專利
  • 認知式運算的專利:各主要國家
  • 人工智能和認知式運算的革新leadership

第5章 人工智能的全球市場

  • 人工智能的全球市場
  • 人工智能的全球市場:市場區隔
  • 人工智能的全球市場:各地區
  • 人工智能的全球市場:各應用領域
    • 預測分析
    • 行銷 & 決策
    • 詐欺偵測 & 分類
    • 團隊合作自動化

第6章 垂直產業上人工智能市場

  • 人工智能市場:各主要產業
    • 網際網路相關服務·產品
    • 通訊
    • 醫療·生物資訊學
    • 金融服務
    • 製造·重工業
  • 人工智能市場:其他產業

第7章 主要市場區分

  • 人工智能市場:各產品
  • 植入式人工智能市場
    • 資料探勘的AI演算法
    • 機器知覺技術的人工智能
    • 模式認識技術的人工智能
    • 智慧型決策支援系統
    • 自然語言處理技術

第8章 主要企業解決方案

  • Apple Inc.
  • Facebook
  • Google
  • IBM
  • Microsoft

第9章 重要的AI專利

圖表一覽

第2部分 bikkudeta分析與IoT的人工智慧:資料收集,資訊·決策支援系統服務(DSS)市場

第1章 簡介

第2章 市場概要

  • AI·機器學習
  • AI的種類
  • AI和機器學習語言
  • AI技術
    • 機器學習
    • 自然地語言生成·處理
    • 影像處理
    • 語音辨識
    • 人工神經網
    • Deep學習
    • 其他
  • AI和機器學習技術的融合
  • AI和機器學習企業的目標
  • AI的方法
  • AI工具
  • AI的成果
  • 人工神經網 & AI
  • Deep學習 & AI
  • 預測分析 & AI
  • IoT & 巨量資料分析
  • IoT & AI
  • 一般消費者取向IoT & AI
  • 產業用IoT,巨量資料分析,機器學習
  • AI & 認知式運算
  • 超人類主義(H+) & AI
  • 東西分析(AoT)
  • 機器學習:教師螞蟻學習 vs 沒有教師學習
  • 用戶界面的AI

第3章 巨量資料及IoT的AI

  • 機器學習的普遍存在化
  • 機器學習API & 巨量資料開發
  • 企業中機器學習的優點
  • IoT資料的機器學習
  • 超大規模分析 & AI
  • 演算法·商務的崛起
  • 雲端託管機器學習
  • 機器學習的矛盾點
  • 價值鏈分析
  • 終端用戶

第4章 AI技術的用途和使用案例

  • 情報性能監控
  • 基礎建設監測
  • 建議引擎
  • 塊環鏈 & 加密技術
  • 情境感知
  • 客戶回饋
  • 自動駕駛車
  • 詐欺偵測系統
  • 個人化醫療 & 醫療服務
  • 預測資料
  • 智慧機器
  • 網路安全解決方案
  • 自規則代理商
  • 智慧型助手
  • 智慧型意思支援系統(DSS)
  • 風險管理
  • 資料探勘·管理
  • 智慧型機器人工學
  • 金融科技
  • 機器情報

第7章 巨量資料及IoT的AI解決方案的市場預測

  • 聚合AI解決方案市場
  • AI解決方案市場:各市場區隔
  • AI植入式解決方案市場
  • AI分析預測市場
  • AI專門服務市場

第8章 AI植入式連網型IoT設備

  • AI植入式連網型IoT設備
  • AI植入式連網型IoT對象物·目的

第9章 企業簡介

  • Google Inc.
  • Twitter Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Apple Inc.
  • Facebook Inc.
  • Amazon.com Inc.
  • Skype
  • Salesforce.com
  • Intel Corporation
  • Yahoo Inc.
  • AOL Inc.
  • NVIDIA Corporation
  • x.ai
  • Tesla Inc.
  • Baidu Inc.
  • H2O.ai
  • SparkCognition Inc.
  • OpenAI
  • Inbenta
  • CISCO Systems Inc.
  • Infineon Technologies AG
  • McAfee
  • Happiest Minds Technologies
  • Tachyus
  • Sentrian
  • MAANA
  • Veros Systems Inc.
  • NEURA
  • Augury Systems Ltd.
  • glassbeam
  • Comfy
  • mnubo
  • C-B4
  • PointGrab Ltd.
  • Tellmeplus
  • moov
  • Sentenai Inc.
  • imagimob
  • FocusMotion
  • MoBagel

第10章 總論·建議

第11章 附錄

目錄

Overview:

Artificial Intelligence (AI) and Cognitive Computing are increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. The long-term prospect for these technologies is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services. AI will anticipated to have an ever increasing role in ICT including both traditional telecommunications as well as many communications enabled applications and digital commerce.

Fast growing AI technologies for consumer facing industries include chat bots and Virtual Personal Assistants (VPA) and smart advisors. These technologies leverage autonomous agents to enable an ambient user experience for applications, services, and enhanced commerce. On the enterprise side, the majority of IT organizations are experimenting with AI in various forms such as Machine Learning, Deep Learning, Computer Vision, Image Recognition, Voice Recognition, Artificial Neural Networks, and more.

This research provide a comprehensive assessment of the market opportunities for AI and Cognitive Computing in communications, applications, and commerce. The research also analyzes the role of AI in emerging Internet of Things (IoT) market segments as well as related unstructured data and analytics. The research includes an evaluation of the technologies and market outlook for VPA. Forecasts for each segment are provided for 2017 to 2022. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Telecom service providers
  • Digital commerce companies
  • Artificial Intelligence companies
  • Big Data and analytics companies
  • Robotics and automation companies
  • Cloud and Internet of Things companies

Table of Contents

Artificial Intelligence and Cognitive Computing: Market Outlook for Communications, Applications, Content, and Commerce 2017-2022

1. Introduction

  • 1.1. Research Background
  • 1.2. Research Scope
  • 1.3. Organizations in Report

2. Executive Summary

3. Artificial Intelligence

  • 3.1. Overview
  • 3.2. Market Definitions
    • 3.2.1. Client
    • 3.2.2. Intelligent Software Agent
    • 3.2.3. Problem Solving
  • 3.3. Practical Approaches to AI
  • 3.4. Machine Learning
    • 3.4.1. Supervised Learning
    • 3.4.2. Unsupervised Learning
    • 3.4.3. Semi-supervised Learning
    • 3.4.4. Reinforcement Learning
  • 3.5. Deep Learning
    • 3.5.1. Artificial Neural Networks
  • 3.6. Cognitive Computing
  • 3.7. AI Algorithms in Applications
    • 3.7.1. Natural Language Processing
    • 3.7.2. Machine Perception
    • 3.7.3. Data Mining
    • 3.7.4. Motion and Manipulation
  • 3.8. Limitations and Challenges for AI Expansion
  • 3.9. Artificial Intelligence Opportunities and Drivers
  • 3.10. Artificial Intelligence and Digital Security

4. Intellectual Property Leadership by Country and Company

  • 4.1. Global AI Patents
  • 4.2. AI Patents by Leading Countries
  • 4.3. Global Machine Learning Patents
  • 4.4. Machine Learning Patents by Leading Countries
  • 4.5. Machine Learning Patents by Leading Companies
  • 4.6. Global Deep Learning Patents
  • 4.7. Deep Learning Patents by Leading Countries
  • 4.8. Global Cognitive Computing Patents
  • 4.9. Cognitive Computing Patents by Leading Countries
  • 4.10. AI and Cognitive Computing Innovation Leadership

5. Global Market for Artificial Intelligence

  • 5.1. Global Markets for AI 2017-2022
  • 5.2. Global Market for AI by Segment 2017-2022
  • 5.3. Regional Markets for AI 2017-2022
  • 5.4. AI Market by Key Application 2017-2022
    • 5.4.1. AI Markets for Predictive Analysis and Forecast 2017-2022
    • 5.4.2. AI Market for Marketing and Business Decision Making 2017-2022
    • 5.4.3. AI Market for Fraud Detection and Classification 2017-2022
    • 5.4.4. AI Market for Workplace Automation 2017-2022

6. AI in Select Industry Verticals

  • 6.1. Market for AI by Key Industry Vertical 2017-2022
    • 6.1.1. AI Market for Internet-related Services and Products 2017-2022
    • 6.1.2. AI Market for Telecommunications 2017-2022
    • 6.1.3. AI Market for Medical and Bio-Informatics 2017-2022
    • 6.1.4. AI Market for Financial Services 2017-2022
    • 6.1.5. AI Market for Manufacturing and Heavy Industry 2017-2022
  • 6.2. AI in other Industry Verticals

7. AI in Major Market Segments

  • 7.1. AI Market by Product Segment 2017-2022
  • 7.2. Market for Embedded AI within other Technologies 2017-2022
    • 7.2.1. AI Algorithms in Data Mining 2017-2022
    • 7.2.2. AI in Machine Perception Technology in 2017-2022
    • 7.2.3. Market for AI Algorithms in Pattern Recognition Technology 2017-2022
    • 7.2.4. Market for AI Algorithm in Intelligent Decision Support Systems Technology 2017-2022
    • 7.2.5. Market for AI Algorithms in Natural Language Processing Technology 2017-2022

8. Select Companies and Solutions

  • 8.1. Apple Inc.
  • 8.2. Facebook
  • 8.3. Google
  • 8.4. IBM
  • 8.5. Microsoft

9. Important AI Patents 2010-2015

Figures

  • Figure 1: Overall Artificial Intelligence Functionality
  • Figure 2: Machine Learning vs. Deep Learning
  • Figure 3: Artificial Intelligence support of IoT Security
  • Figure 4: AI Patents 2007-2017
  • Figure 5: AI Patents by Country
  • Figure 6: Machine Learning Patents 2007-2017
  • Figure 7: Machine Learning Patents by Country
  • Figure 8: Machine Learning Patents by Owner
  • Figure 9: Deep Learning Patents 2007-2017
  • Figure 10: Deep Learning Patents by Country
  • Figure 11: Cognitive Computing Patents 2007-2017
  • Figure 12: Cognitive Computing Patents by Country
  • Figure 13: Artificial Intelligence Market 2017-2022
  • Figure 14: Artificial Intelligence by Sub-category 2017-2022
  • Figure 15: Regional Markets for Artificial Intelligence 2017-2022
  • Figure 16: Artificial Intelligence Market by Application 2017-2022
  • Figure 17: Artificial Intelligence Market for Predictive Analysis 2017-2022
  • Figure 18: AI Market for Marketing and Business Decision Making 2017-2022
  • Figure 19: AI Market for Fraud Detection and Classification 2017-2022
  • Figure 20: Artificial Intelligence Market for Workplace Automation 2017-2022
  • Figure 21: Artificial Intelligence Market by Industry Vertical 2017-2022
  • Figure 22: AI Market for Internet Services and Products 2017-2022
  • Figure 23: Artificial Intelligence Market for Telecommunications 2017-2022
  • Figure 24: Artificial Intelligence Market for Medical and Bioinformatics 2017-2022
  • Figure 25: Artificial Intelligence Market for Financial Services 2017-2022
  • Figure 26: AI Market for Manufacturing and Heavy Industry 2017-2022
  • Figure 27: AI Market by Product Segment 2017-2022
  • Figure 28: Markets for Artificial Intelligence by Segment 2017-2022
  • Figure 29: Market for AI Algorithms in Data Mining 2017-2022
  • Figure 30: Market for AI Algorithms in Machine Perception Technology 2017-2022
  • Figure 31: Market for AI Algorithms in Pattern Recognition Technology 2017-2022
  • Figure 32: Market for AI Algorithms in Intelligent Decision Support Systems Technology 2017-2022
  • Figure 33: Market for AI Algorithms in Natural Language Processing Technology 2017-2022

Tables

  • Table 1: Artificial Intelligence Market 2017-2022
  • Table 2: Artificial Intelligence by Sub-category 2017-2022
  • Table 3: Regional Markets for Artificial Intelligence 2017-2022
  • Table 4: Artificial Intelligence Market by Application 2017-2022
  • Table 5: Artificial Intelligence Market for Predictive Analysis and Forecast 2017-2022
  • Table 6: AI Markets for Marketing and Business Decision Making 2017-2022
  • Table 7: Artificial Intelligence Market for Fraud Detection and Classification 2017-2022
  • Table 8: Artificial Intelligence Market for Workplace Automation 2017-2022
  • Table 9: Artificial Intelligence Market by Industry Vertical 2017-2022
  • Table 10: Artificial Intelligence Market for the Internet Services and Products 2017-2022
  • Table 11: Market for AI in the Internet Services and Products by Application 2017-2022
  • Table 12: Regional Market for AI in Internet Services and Products by Application 2017-2022
  • Table 13: Artificial Intelligence Market for Telecommunications 2017-2022
  • Table 14: Market for AI in Telecommunications by Application 2017-2022
  • Table 15: Regional Market for AI in Telecommunications by Application 2017-2022
  • Table 16: Artificial Intelligence Market for Medical and Bioinformatics 2017-2022
  • Table 17: Market for AI in Medical and Bioinformatics by Application 2017-2022
  • Table 18: Regional Markets for AI in Medical and Bioinformatics by Application 2017-2022
  • Table 19: Artificial Intelligence Market for Financial Services 2017-2022
  • Table 20: Markets for AI in Financial Services by Application 2017-2022
  • Table 21: Regional Market for AI in Financial Services by Application 2017-2022
  • Table 22: Artificial Intelligence Market for Manufacturing and Heavy Industry 2017-2022
  • Table 23: Market for AI in Manufacturing and Heavy Industry by Application 2017-2022
  • Table 24: Regional Market for AI in Manufacturing and Heavy Industry by Application 2017-2022
  • Table 25: AI Market Product Segment 2017-2022
  • Table 26: Markets for AI Algorithms in Select Technologies 2017-2022
  • Table 27: Market for AI Algorithms in Data Mining Technology 2017-2022
  • Table 28: Market for AI Algorithms in Machine Perception Technology 2017-2022
  • Table 29: Market for AI Algorithms in Pattern Recognition Technology 2017-2022
  • Table 30: Market for AI Algorithms in Intelligent Decision Support Systems Technology 2017-2022
  • Table 31: Market for AI Algorithms in Natural Language Processing Technology 2017-2022
  • Table 32: Apple Artificial Intelligence Acquisitions
  • Table 33: Facebook Artificial Intelligence Acquisitions
  • Table 34: Google Artificial Intelligence Acquisitions
  • Table 35: IBM Artificial Intelligence Acquisitions
  • Table 36: Microsoft Artificial Intelligence Acquisitions
  • Table 37: Key AI Patents

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2017-2022

1. Introduction

  • 1.1. Executive Summary
  • 1.2. Research Objectives
  • 1.3. Key Findings
  • 1.4. Target Audience
  • 1.5. Companies in the Report

2. Overview

  • 2.1. Artificial Intelligence and Machine Learning
  • 2.2. AI Types
  • 2.3. AI and ML Language
  • 2.4. Artificial Intelligence Technology
    • 2.4.1. Machine Learning
    • 2.4.2. Natural Language Generation and Processing
    • 2.4.3. Image Processing
    • 2.4.4. Voice Recognition
    • 2.4.5. Artificial Neural Network
    • 2.4.6. Deep Learning
    • 2.4.7. Others
  • 2.5. AI and ML Technology Goal
    • 2.5.1. Reasoning
    • 2.5.2. Knowledge Representation
    • 2.5.3. Planning
    • 2.5.4. Learning
    • 2.5.5. Communication
    • 2.5.6. Machine Perception
    • 2.5.7. Motion Manipulation
    • 2.5.8. Social Intelligence
    • 2.5.9. Creativity
    • 2.5.10. Artificial General Intelligence
    • 2.5.11. Computer Vision
    • 2.5.12. Robotics
  • 2.6. AI Approaches
    • 2.6.1. Cybernetics and Brian Simulation
    • 2.6.2. Symbolic
    • 2.6.3. Sub-Symbolic
    • 2.6.4. Statistical
    • 2.6.5. Integration
  • 2.7. AI Tools
    • 2.7.1. Search and Optimization
    • 2.7.2. Logic
    • 2.7.3. Probability
    • 2.7.4. Classifier and Statistics
    • 2.7.5. Neural Network
    • 2.7.6. Deep Feedforward Neural Network
    • 2.7.7. Deep Recurrent Neural Network
    • 2.7.8. Control Theory
    • 2.7.9. Language
  • 2.8. AI Outcome
    • 2.8.1. Testing Tools
    • 2.8.2. Virtual Assistant
    • 2.8.3. AI Optimized IoT Hardware
    • 2.8.4. Decision Management System
    • 2.8.5. Biometrics Solution
    • 2.8.6. Robotic Process Automation
  • 2.9. Neural Network and Artificial Intelligence
  • 2.10. Deep Learning and Artificial Intelligence
  • 2.11. Predictive Analytics and Artificial Intelligence
  • 2.12. Internet of Things and Big Data Analytics
  • 2.13. IoT and Artificial Intelligence
  • 2.14. Consumer IoT, Big Data Analytics, and Artificial Intelligence
  • 2.15. Industrial IoT, Big Data Analytics, and Machine Learning
  • 2.16. Artificial intelligence and cognitive computing
  • 2.17. Transhumanism or H+ and Artificial Intelligence
  • 2.18. Rise of the Analysis of Things
  • 2.19. Supervised vs. Unsupervised Learning
  • 2.20. AI as New form of UI

3. AI Technology in Big Data and IoT

  • 3.1. Machine Learning Everywhere
    • 3.1.1. Machine Learning as Open Source Technology
    • 3.1.2. Machine Learning and Intelligent Discovery in IoT
    • 3.1.3. Supervised and Unsupervised Machine Learning
    • 3.1.4. Machine Learning as Big Data Analysis Technique
    • 3.1.5. Machine Learning AI Robots
    • 3.1.6. Machine Learning and Data Democratization
  • 3.2. Machine Learning APIs and Big Data Development
    • 3.2.1. Phases of Machine Learning APIs
    • 3.2.2. Machine Learning API Challenges
    • 3.2.3. Top Machine Learning APIs
      • 3.2.3.1. IBM Watson API
      • 3.2.3.2. Microsoft Azure Machine Learning API
      • 3.2.3.3. Google Prediction API
      • 3.2.3.4. Amazon Machine Learning API
      • 3.2.3.5. BigML
      • 3.2.3.6. AT&T Speech API
      • 3.2.3.7. Wit.ai
      • 3.2.3.8. AlchemyAPI
      • 3.2.3.9. Diffbot
      • 3.2.3.10. PredictionIO
    • 3.2.4. Machine Learning API in General Application Environment
  • 3.3. Enterprise Benefits of Machine Learning
  • 3.4. Machine Learning in IoT Data
  • 3.5. Ultra Scale Analytics and Artificial Intelligence
  • 3.6. Rise of Algorithmic Business
  • 3.7. Cloud Hosted Machine Intelligence
  • 3.8. Contradiction of Machine Learning
  • 3.9. Value Chain Analysis
    • 3.9.1. AI and Machine Learning Companies
    • 3.9.2. IoT Companies
    • 3.9.3. Big Data Analytics Providers
    • 3.9.4. Connectivity Solution and Infrastructure Providers
    • 3.9.5. Hardware and Equipment Manufacturers
    • 3.9.6. Developers and Data Scientists
  • 3.9.7. End Users

4. AI Technology Application and Use Case

  • 4.1. Intelligence Performance Monitoring
  • 4.2. Infrastructure Monitoring
  • 4.3. Generating Accurate Models
  • 4.4. Recommendation Engine
  • 4.5. Blockchain and Crypto Technologies
  • 4.6. Enterprise Application
  • 4.7. Contextual Awareness
  • 4.8. Customer Feedback
  • 4.9. Self-Driving Car
  • 4.10. Fraud Detection System
  • 4.11. Personalized Medicine and Healthcare Service
  • 4.12. Predictive Data Modelling
  • 4.13. Smart Machines
  • 4.14. Cybersecurity Solutions
  • 4.15. Autonomous Agents
  • 4.16. Intelligent Assistant
  • 4.17. Intelligent Decision Support System
  • 4.18. Risk Management
  • 4.19. Data Mining and Management
  • 4.20. Intelligent Robotics
  • 4.21. Financial Technology
  • 4.22. Machine Intelligence

5. AI Technology Impact on Vertical Market

  • 5.1. Enterprise Productivity Gain
  • 5.2. Digital Twinning and Physical Asset Security
  • 5.3. IT Process Efficiency Increase
  • 5.4. AI to Replace Human Form Work
  • 5.5. Enterprise AI Adoption Trends
  • 5.6. Inclusion of AI as IT Requirement

6. AI Predictive Analytics in Vertical Industry

  • 6.1.1. E-Commerce Services
  • 6.1.2. Banking and Finance Services
  • 6.1.3. Manufacturing Services
  • 6.1.4. Real Estate Services
  • 6.1.5. Government and Public Services

7. AI Solution in Big Data and IoT Market Forecast 2017-2022

  • 7.1. Aggregated AI Solution Market 2017-2022
  • 7.2. AI Solution Market by Segment 2017-2022
  • 7.3. AI Embedded Solution Market 2017-2022
    • 7.3.1. AI Embedded Solution by Segment
    • 7.3.2. AI Embedded Solution Market for IoT Device 2017-2022
      • 7.3.2.1. IoT Device Market by Type
      • 7.3.2.2. IoT Device Market by AI Technology
      • 7.3.2.3. IoT Device Market by Industry Vertical
      • 7.3.2.4. IoT Device Market by Region
        • 7.3.2.4.1. APAC IoT Device Market by Country
        • 7.3.2.4.2. Europe IoT Device Market by Country
        • 7.3.2.4.3. North America IoT Device Market by Country
        • 7.3.2.4.4. Middle East and Africa IoT Device Market by Country
        • 7.3.2.4.5. Latin America IoT Device Market by Country
    • 7.3.3. AI Embedded Solution Market for IoT Platform 2017-2022
      • 7.3.3.1. IoT Platform Market by Type
      • 7.3.3.2. IoT Platform Market by AI Technology
      • 7.3.3.3. IoT Platform Market by Industry Vertical
      • 7.3.3.4. IoT Platform Market by Region
        • 7.3.3.4.1. APAC IoT Platform Market by Country
        • 7.3.3.4.2. Europe IoT Platform Market by Country
        • 7.3.3.4.3. North America IoT Platform Market by Country
        • 7.3.3.4.4. Middle East and Africa IoT Platform Market by Country
        • 7.3.3.4.5. Latin America IoT Platform Market by Country
    • 7.3.4. AI Embedded Solution Market for Digital Personal Assistant 2017-2022
      • 7.3.4.1. Digital Personal Assistant Market by Type
      • 7.3.4.2. Digital Personal Assistant Market by AI Technology
      • 7.3.4.3. Digital Personal Assistant Market by Sector
      • 7.3.4.4. Digital Personal Assistant Market by AI System
      • 7.3.4.5. Digital Personal Assistant Market by Region
        • 7.3.4.5.1. APAC Digital Personal Assistant Market by Country
        • 7.3.4.5.2. Europe Digital Personal Assistant Market by Country
        • 7.3.4.5.3. North America Digital Personal Assistant Market by Country
        • 7.3.4.5.4. ROW Digital Personal Assistant Market by Country
    • 7.3.5. AI Embedded Solution Market for Data Capture and Integration 2017-2022
      • 7.3.5.1. Data Capture and Integration Market by Big Data Tools
      • 7.3.5.2. Data Capture and Integration Market by Industry Vertical
      • 7.3.5.3. Data Capture and Integration Market by Region
        • 7.3.5.3.1. North America Data Capture and Integration Market by Country
        • 7.3.5.3.2. APAC Data Capture and Integration Market by Country
        • 7.3.5.3.3. Europe Data Capture and Integration Market by Country
        • 7.3.5.3.4. Middle East and Africa Data Capture and Integration Market by Country
        • 7.3.5.3.5. Latin America Data Capture and Integration Market by Country
  • 7.4. AI Predictive Analytics Market 2017-2022
    • 7.4.1. AI Predictive Analytics Market by AI Technology
    • 7.4.2. AI Predictive Analytics Market by Business Application
    • 7.4.3. AI Predictive Analytics Market by Technology Application
    • 7.4.4. AI Predictive Analytics Market by Business Goal
    • 7.4.5. AI Predictive Analytics Market by Industry Vertical
    • 7.4.6. AI Predictive Analytics Market by Region
      • 7.4.6.1. North America AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
      • 7.4.6.2. Europe AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
      • 7.4.6.3. APAC AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
      • 7.4.6.4. Middle East and Africa AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
      • 7.4.6.5. Latin America AI Predictive Analytics Market: AI Technology, Business Application, Technology Application, Business Goal, Industry Vertical, and Country
  • 7.5. AI Professional Service Market in Big Data and IoT 2017-2022
    • 7.5.1. AI Professional Service Market by Service Type
    • 7.5.2. AI Professional Service Market by Segment
    • 7.5.3. AI Professional Service Market by Industry Vertical
    • 7.5.4. AI Professional Service Market by Region
      • 7.5.4.1. APAC AI Professional Service Market by Country
      • 7.5.4.2. Europe AI Professional Service Market by Country
      • 7.5.4.3. North America AI Professional Service Market by Country
      • 7.5.4.4. Middle East and Africa AI Professional Service Market by Country
      • 7.5.4.5. Latin America AI Professional Service Market by Country

8. AI Embedded Connected IoT Device and Things 2017-2022

  • 8.1. AI Embedded Connected IoT Device 2017-2022
    • 8.1.1. Aggregated AI Embedded Connected IoT Device
    • 8.1.2. AI Embedded Connected IoT Device by Type
    • 8.1.3. AI Embedded Connected IoT Device by IoT Platform
    • 8.1.4. AI Embedded Connected IoT Device by IoT Sector
    • 8.1.5. AI Embedded Connected IoT Device by AI Technology
    • 8.1.6. AI Embedded Connected IoT Device by Technology Application
    • 8.1.7. AI Embedded Connected IoT Device by Industry Verticals
    • 8.1.8. AI Embedded Connected IoT Device by Region
      • 8.1.8.1. North America Connected IoT Device by Country
      • 8.1.8.2. Europe Connected IoT Device by Country
      • 8.1.8.3. APAC Connected IoT Device by Country
      • 8.1.8.4. Middle East and Africa Connected IoT Device by Country
      • 8.1.8.5. Latin America Connected IoT Device by Country
  • 8.2. AI Embedded Connected IoT Things and Objects 2017-2022
    • 8.2.1. Aggregated AI Embedded Connected IoT Things and Objects
    • 8.2.2. AI Embedded Connected IoT Things and Objects by IoT Platform
    • 8.2.3. AI Embedded Connected IoT Things and Objects by IoT Sector
    • 8.2.4. AI Embedded Connected IoT Things and Objects by AI Technology
    • 8.2.5. AI Embedded Connected IoT Things and Objects by Industry Verticals
    • 8.2.6. AI Embedded Connected IoT Things and Objects by Region
      • 8.2.6.1. North America Connected IoT Things and Objects by Country
      • 8.2.6.2. Europe Connected IoT Things and Objects by Country
      • 8.2.6.3. APAC Connected IoT Things and Objects by Country
      • 8.2.6.4. Middle East and Africa Connected IoT Things and Objects by Country
      • 8.2.6.5. Latin America Connected IoT Things and Objects by Country

9. Company Analysis

  • 9.1. Google Inc.
  • 9.2. Twitter Inc.
  • 9.3. Microsoft Corporation
  • 9.4. IBM Corporation
  • 9.5. Apple Inc.
  • 9.6. Facebook Inc.
  • 9.7. Amazon.com Inc.
  • 9.8. Skype
  • 9.9. Salesforce.com
  • 9.10. Intel Corporation
  • 9.11. Yahoo Inc.
  • 9.12. AOL Inc.
  • 9.13. NVIDIA Corporation
  • 9.14. x.ai
  • 9.15. Tesla Inc.
  • 9.16. Baidu Inc.
  • 9.17. H2O.ai
  • 9.18. SparkCognition Inc.
  • 9.19. OpenAI
  • 9.20. Inbenta
  • 9.21. CISCO Systems Inc.
  • 9.22. Infineon Technologies AG
  • 9.23. McAfee
  • 9.24. Happiest Minds Technologies
  • 9.25. Tachyus
  • 9.26. Sentrian
  • 9.27. MAANA
  • 9.28. Veros Systems Inc.
  • 9.29. NEURA
  • 9.30. Augury Systems Ltd.
  • 9.31. glassbeam
  • 9.32. Comfy
  • 9.33. mnubo
  • 9.34. C-B4
  • 9.35. PointGrab Ltd.
  • 9.36. Tellmeplus
  • 9.37. moov
  • 9.38. Sentenai Inc.
  • 9.39. imagimob
  • 9.40. FocusMotion
  • 9.41. MoBagel

10. Conclusions and Recommendations

  • 10.1. AI in the Next Decade
  • 10.2. Recommendation for Data Analytics Providers
  • 10.3. Recommendation for AI and Machine Learning Companies
  • 10.4. Recommendation for IoT Companies and Equipment Manufacturers
  • 10.5. Recommendation for Service Providers
  • 10.6. Recommendations for Enterprise

11. Appendix

  • 11.1. AI Embedded IoT Device Sales Revenue
    • 11.1.1. Sales Revenue by Device Type
  • 11.2. AI Optimized IoT Component Market
  • 11.3. AI Optimized IoT Equipment Market
  • 11.4. AI Optimized IoT Software Market
  • 11.5. AI Optimized IoT Platform Market

Figures

  • Figure 1: Artificial Intelligence Technology
  • Figure 2: Sentiment Analysis with Deep Machine Learning
  • Figure 3: Artificial Intelligence (AI) and Predictive Layer System
  • Figure 4: Industrial IoT Landscape and Machine Learning as a Service
  • Figure 5: Machine Learning Use Case Scenario
  • Figure 6: Artificial Intelligence and Machine Learning Landscape
  • Figure 7: AI Solution driven Enterprise Productivity Gain 2017-2022
  • Figure 8: Global Digital Twinning Connected IoT Things 2017-2022
  • Figure 9: AI Robo-Boss Supervision of Worker 2017-2022
  • Figure 10: Global AI Solution Market in Big Data and IoT 2017-2022
  • Figure 11: Global AI Embedded Connected IoT Device 2017-2022
  • Figure 12: Global AI Embedded Connected IoT Things and Objects 2017-2022
  • Figure 13: AI Embedded IoT Device Sales Revenue 2017-2022

Tables

  • Table 1: AI Software Conducted Economic Transaction 2017-2022
  • Table 2: AI Empowered Building Security System 2017-2022
  • Table 3: AI Empowered Business Analytics Software 2017-2022
  • Table 4: AI Self Service Visual Discovery vs. Traditional IT Controlled Tools 2017-2022
  • Table 5: AI Smart Machine Created Business Content 2017-2022
  • Table 6: Global AI Solution Market in Big Data and IoT by Market Segment 2017-2022
  • Table 7: Global AI Embedded Solution in Big Data and IoT by Segment 2017-2022
  • Table 8: Global AI Embedded Solution for IoT Device by Type 2017-2022
  • Table 9: Global AI Embedded Solution in IoT Device by AI Technology 2017-2022
  • Table 10: Global AI Embedded Solution in IoT Device by Industry Vertical 2017-2022
  • Table 11: AI Embedded Solution in IoT Device by Region 2017-2022
  • Table 12: APAC AI Embedded Solution in IoT Device by Country 2017-2022
  • Table 13: Europe AI Embedded Solution in IoT Device by Country 2017-2022
  • Table 14: North America AI Embedded Solution in IoT Device by Country 2017-2022
  • Table 15: Middle East and Africa AI Embedded Solution in IoT Device by Country 2017-2022
  • Table 16: Latin America AI Embedded Solution in IoT Device by Country 2017-2022
  • Table 17: Global AI Embedded Solution for IoT Platform by Type 2017-2022
  • Table 18: Global AI Embedded Solution in IoT Platform by AI Technology 2017-2022
  • Table 19: Global AI Embedded Solution in IoT Platform by Industry Vertical 2017-2022
  • Table 20: AI Embedded Solution in IoT Platform by Region 2017-2022
  • Table 21: APAC AI Embedded Solution in IoT Platform by Country 2017-2022
  • Table 22: Europe AI Embedded Solution in IoT Platform by Country 2017-2022
  • Table 23: North America AI Embedded Solution in IoT Platform by Country 2017-2022
  • Table 24: Middle East and Africa AI Embedded Solution in IoT Platform by Country 2017-2022
  • Table 25: Latin America AI Embedded Solution in IoT Platform by Country 2017-2022
  • Table 26: Global AI Embedded Solution for Digital Personal Assistant by Type 2017-2022
  • Table 27: Global AI Embedded Solution in Digital Personal Assistant by AI Technology 2017-2022
  • Table 28: Global AI Embedded Solution in Digital Personal Assistant by Sector 2017-2022
  • Table 29: Global AI Embedded Solution in Digital Personal Assistant by AI System 2017-2022
  • Table 30: AI Embedded Solution in Digital Personal Assistant by Region 2017-2022
  • Table 31: APAC AI Embedded Solution in Digital Personal Assistant by Country 2017-2022
  • Table 32: Europe AI Embedded Solution in Digital Personal Assistant by Country 2017-2022
  • Table 33: North America AI Embedded Solution in Digital Personal Assistant by Country 2017-2022
  • Table 34: ROW AI Embedded Solution in Digital Personal Assistant by Country 2017-2022
  • Table 35: Global AI Embedded Data Capture and Integration Solution by Big Data Tools 2017-2022
  • Table 36: Global AI Embedded Data Capture and Integration Solution by Industry Vertical 2017-2022
  • Table 37: AI Embedded Data Capture and Integration Solution by Region 2017-2022
  • Table 38: North America AI Embedded Data Capture and Integration Solution by Country 2017-2022
  • Table 39: APAC AI Embedded Data Capture and Integration Solution by Country 2017-2022
  • Table 40: Europe AI Embedded Data Capture and Integration Solution by Country 2017-2022
  • Table 41: Middle East and Africa AI Embedded Data Capture and Integration Solution by Country 2017-2022
  • Table 42: Latin America AI Embedded Data Capture and Integration Solution by Country 2017-2022
  • Table 43: Global AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 44: Global AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 45: Global AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 46: Global AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 47: Global AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 48: AI Predictive Analytics Solution by Region 2017-2022
  • Table 49: North America AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 50: North America AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 51: North America AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 52: North America AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 53: North America AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 54: North America AI Predictive Analytics Solution by Country 2017-2022
  • Table 55: Europe AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 56: Europe AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 57: Europe AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 58: Europe AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 59: Europe AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 60: Europe AI Predictive Analytics Solution by Country 2017-2022
  • Table 61: APAC AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 62: APAC AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 63: APAC AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 64: APAC AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 65: APAC AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 66: APAC AI Predictive Analytics Solution by Country 2017-2022
  • Table 67: MEA AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 68: MEA AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 69: MEA AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 70: MEA AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 71: MEA AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 72: MEA AI Predictive Analytics Solution by Country 2017-2022
  • Table 73: Latin America AI Predictive Analytics Solution by AI Technology 2017-2022
  • Table 74: Latin America AI Predictive Analytics Solution by Business Application 2017-2022
  • Table 75: Latin America AI Predictive Analytics Solution by Technology Application 2017-2022
  • Table 76: Latin America AI Predictive Analytics Solution by Business Goal 2017-2022
  • Table 77: Latin America AI Predictive Analytics Solution by Industry Vertical 2017-2022
  • Table 78: Latin America AI Predictive Analytics Solution by Country 2017-2022
  • Table 79: Global AI Professional Service in Big Data and IoT by Service Type 2017-2022
  • Table 80: Global AI Professional Service in Big Data and IoT by Segment 2017-2022
  • Table 81: Global AI Professional Service in Big Data and IoT by Industry Vertical 2017-2022
  • Table 82: AI Professional Service in Big Data and IoT by Region 2017-2022
  • Table 83: APAC AI Professional Service in Big Data and IoT by Country 2017-2022
  • Table 84: Europe AI Professional Service in Big Data and IoT by Country 2017-2022
  • Table 85: North America AI Professional Service in Big Data and IoT by Country 2017-2022
  • Table 86: Middle East and Africa AI Professional Service in Big Data and IoT by Country 2017-2022
  • Table 87: Latin America AI Professional Service in Big Data and IoT by Country 2017-2022
  • Table 88: Global AI Embedded Connected IoT Device by Type 2017-2022
  • Table 89: Global AI Embedded Connected IoT Device by IoT Platform 2017-2022
  • Table 90: Global AI Embedded Connected IoT Device by IoT Sector 2017-2022
  • Table 91: Global AI Embedded Connected IoT Device by AI Technology 2017-2022
  • Table 92: Global AI Embedded Connected IoT Device by Technology Application 2017-2022
  • Table 93: Global AI Embedded Connected IoT Device by Industry Vertical 2017-2022
  • Table 94: AI Embedded Connected IoT Device by Region 2017-2022
  • Table 95: North America AI Embedded Connected IoT Device by Country 2017-2022
  • Table 96: Europe AI Embedded Connected IoT Device by Country 2017-2022
  • Table 97: APAC AI Embedded Connected IoT Device by Country 2017-2022
  • Table 98: Middle East and Africa AI Embedded Connected IoT Device by Country 2017-2022
  • Table 99: Latin America AI Embedded Connected IoT Device by Country 2017-2022
  • Table 100: Global AI Embedded Connected IoT Things and Objects by IoT Platform 2017-2022
  • Table 101: Global AI Embedded Connected IoT Things and Objects by IoT Sector 2017-2022
  • Table 102: Global AI Embedded Connected IoT Things and Objects by AI Technology 2017-2022
  • Table 103: Global AI Embedded Connected IoT Things and Objects by Industry Vertical 2017-2022
  • Table 104: AI Embedded Connected IoT Things and Objects by Region 2017-2022
  • Table 105: North America AI Embedded Connected IoT Things and Objects by Country 2017-2022
  • Table 106: Europe AI Embedded Connected IoT Things and Objects by Country 2017-2022
  • Table 107: APAC AI Embedded Connected IoT Things and Objects by Country 2017-2022
  • Table 108: Middle East and Africa AI Embedded Connected IoT Things and Objects by Country 2017-2022
  • Table 109: Latin America AI Embedded Connected IoT Things and Objects by Country 2017-2022
  • Table 110: AI Embedded IoT Device Sales Revenue by Device Type 2017-2022
  • Table 111: AI Optimized IoT Component Market by Segment 2017-2022
  • Table 112: AI Optimized IoT Equipment Market by Segment 2017-2022
  • Table 113: AI Optimized IoT Software Market by Segment 2017-2022
  • Table 114: AI Optimized IoT Platform Market by Segment 2017-2022

Virtual Personal Assistants (VPA) and Smart Advisors: Autonomous Agent and Smart Machine Technology and the Market for Ambient User Experience

1.0. INTRODUCTION

  • 1.1. TECHNOLOGY TREND AND VIRTUAL PRIVATE ASSISTANTS (VPA)
  • 1.2. ENTERPRISE INTELLIGENT ASSISTANTS AND VPA
  • 1.3. WHAT IS VPA?
  • 1.4. BENEFITS OF VPA
  • 1.5. POTENTIAL RISKS

2.0. VPA TECHNOLOGY DRIVERS

  • 2.1. DIGITAL MESH AND AMBIENT USER EXPERIENCE
  • 2.2. SMART MACHINE IMPLEMENTATIONS
  • 2.3. AUTONOMOUS AGENTS AND ADVISORS
  • 2.4. AUTONOMOUS ROBOTS
  • 2.5. SOCIAL ROBOTS
  • 2.6. NATURAL LANGUAGE PROCESSING
  • 2.7. SPEECH RECOGNITION
  • 2.8. INFORMATION OF EVERYTHING
  • 2.9. MACHINE READING COMPREHENSION (MRC)

3.0. VPA GROWTH DRIVERS

  • 3.1. FRIENDLY ASSISTANCE
  • 3.2. QUALITY LIVES
  • 3.3. CUSTOMER MANAGED RELATIONSHIP (CMR)
  • 3.4. PERSONAL CLOUD
  • 3.5. CONTEXTUAL ACTIONS
  • 3.6. API AND MOBILE APPS

4.0. VPA ECOSYSTEM IMPACT

  • 4.1. ECOSYSTEM ANALYSIS
  • 4.2. MASTER CONTROLLER
  • 4.3. CORPORATE ADVERTISING
  • 4.4. CUSTOMER CARE
  • 4.5. ONLINE ADVERTISING
  • 4.6. ONLINE PAYMENT
  • 4.7. AUGMENTED HUMAN REALITY
  • 4.8. BUSINESS MODEL
  • 4.9. END USERS
  • 4.10. INTELLIGENT AGENTS
  • 4.11. AUDIENCES

5.0. VPA SOLUTIONS AND USE CASES

  • 5.1. GOOGLE NOW
  • 5.2. APPLE SIRI
  • 5.3. MICROSOFT CORTANA
  • 5.4. FACEBOOK M
  • 5.5. MYWAVE
  • 5.6. NUANCE
  • 5.7. MOTION.AI
  • 5.8. INDIGO
  • 5.9. DRAGON GO
  • 5.10. VOKUL
  • 5.11. ROBIN
  • 5.12. 24ME
  • 5.13. QUIP
  • 5.14. WUNDERLIST
  • 5.15. SPEAKTOIT
  • 5.16. AMAZON ECHO
  • 5.17. BRAINA
  • 5.18. S VOICE
  • 5.19. ASSISTANT.AI
  • 5.20. VOICE MATE
  • 5.21. BLACKBERRY ASSISTANT
  • 5.22. SILVIA
  • 5.23. HTC HIDI
  • 5.24. IBM WATSON
  • 5.25. CUBIC
  • 5.26. HOUND
  • 5.27. JIBO
  • 5.28. MALUUBA
  • 5.29. MYCROFT
  • 5.30. SIRIUS
  • 5.31. UBI
  • 5.32. VLINGO
  • 5.33. SKYVI
  • 5.34. JEANNIE
  • 5.35. EASILYDO
  • 5.36. VOICE ASSISTANT
  • 5.37. EVI
  • 5.38. OPERATOR
  • 5.39. CHARLIE
  • 5.40. WONDER
  • 5.41. MAGIC
  • 5.42. ALFRED
  • 5.43. RESERVE
  • 5.44. PENNY
  • 5.45. CLARA
  • 5.46. POSTMATES
  • 5.47. JARVIS
  • 5.48. AWESOME
  • 5.49. CLOE
  • 5.50. X.AI
  • 5.51. RILEY
  • 5.52. JULIE DESK
  • 5.53. ZIRTUAL
  • 5.54. DENARRI
  • 5.55. AIVC
  • 5.56. EVA
  • 5.57. ANDY
  • 5.58. HELLO ALFRED
  • 5.59. BUDDY
  • 5.60. GOBUTLER

6.0. VPA MARKET PROJECTIONS THROUGH 2025

  • 6.1. GLOBAL MARKET VALUE
  • 6.2. MARKET VALUE BY REGION
  • 6.3. MARKET VALUE BY CORE TECHNOLOGY
  • 6.4. MARKET VALUE BY END USER
  • 6.5. MARKET VALUE BY AUTONOMOUS AGENTS
  • 6.6. MARKET VALUE BY ECOSYSTEM PLAYERS
  • 6.7. MARKET VALUE BY BUSINESS MODEL
  • 6.8. ENTERPRISE VPA ADOPTION

7.0. APPENDIX ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

  • 7.1. ARTIFICIAL INTELLIGENCE
  • 7.2. MACHINE LEARNING

Figures

  • Figure 1: VPA Ecosystem
  • Figure 2: Google Now Card
  • Figure 3: Apple's Siri Voice Control
  • Figure 4: Microsoft Cortana Usage Diagram
  • Figure 5: Facebook M Interface and Tests

Tables

  • Table 1: VPA Market Value by Geographic Region 2025
  • Table 2: VPA Market Value by Core Technology 2025
  • Table 3: VPA Market Value by Types of End User 2025
  • Table 4: VPA Market Value by Types of Autonomous Agents 2025
  • Table 5: VPA Market Value by Ecosystem Participants 2025
  • Table 6: VPA Market Value by Business Model 2025
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