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Global Artificial Intelligence in IoT Markets 2018-2023: Convergence of AI, 5G, Blockchain, and Edge Computing with IoT Facilitates a Multi-Billion Dollar Market
[September 28, 2018]

Global Artificial Intelligence in IoT Markets 2018-2023: Convergence of AI, 5G, Blockchain, and Edge Computing with IoT Facilitates a Multi-Billion Dollar Market


DUBLIN, Sept. 28, 2018 /PRNewswire/ --

The "Artificial Intelligence in IoT: AIoT Technology, Platforms, Applications and Services by Industry Vertical 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

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Artificial Intelligence (AI) is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, and more. Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales and marketing processes, product and service delivery and support models. AIoT (AI support of IoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.

AI enhances the ability for Big Data Analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This includes an assessment of the combined AI marketplace with analysis of embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. It also evaluates leading solution providers including hardware, software, integrated platforms, and services. It also evaluates the market for AI in IoT networks and systems.

This research also assesses the impact of AI in various networking products and solutions including embedded equipment, components, and software platforms (network automation, optimization, and transformation). The report also evaluates the role of SDN, Edge Computing, NFV, and Augmented Intelligence in the formation and support of AI driven networking ecosystems. In addition, the impact of 5G networks, IoT technology and systems, and network analytics functions is also evaluated.

Target Audience:

  • AI companies
  • IoT companies
  • Robotics companies
  • Semiconductor vendors
  • Data management vendors
  • Industrial automation companies
  • Governments and R&D organizations
  • Enterprises across all industry verticals

Select Research Findings:

  • Global AI Chipsets market will reach $6.6B USD by 2023
  • The APAC region will lead the IoT technology market through 2023
  • The combined global IoT technology market will reach $869.9B USD by 2023
  • Global AI in embedded IoT devices market will approach $26.2B USD by 2023
  • Total AI driven networking solution market is expected to reach $5.8 billion by 2023
  • Over 50% of the enterprise organizations will leverage AI technology for networking by 2023
  • Over 87 billion semiconductors and embedded devices will be shipped in support of IoT by 2023
  • The convergence of AI, 5G, Blockchain, and Edge Computing with IoT facilitates a multi-billion dollar market

Research Benefits:

  • Identify AI market trends, challenges, and opportunities
  • Identify highest potential AI technology area opportunities
  • Identify leading AI hardware, software, and service providers
  • Learn the optimal use of AI for smart predictive analytics in IoT data
  • Understand the AI in Big Data, Analytics, and IoT ecosystem and value chain
  • Identify opportunities for AI in Analytics for IoT and other unstructured data
  • Understand IoT technology convergence with AI, Edge Computing, 5G, and Blockchain
  • Identify market opportunities globally, regionally, and by industry vertical for IoT technology
  • Know the full stack AI vendor landscape including AI core technology and supporting technology
  • Understand the relationship between 5G, AI, Big Data, Edge Computing, IoT, Smart Machines, Robotics

Key Topics Covered:

Artificial Intelligence Market by Platforms, Components, Deployment Mode, Applications, and Industry Verticals

1 Introduction
1.1 Executive Summary
1.2 Research Objectives
1.3 Select Findings
1.4 Target Audience
1.5 Companies in the Report

2 Overview
2.1 Defining Artificial Intelligence
2.2 Artificial General Intelligence
2.3 Artificial Super Intelligence
2.4 Artificial Intelligence Types
2.5 Artificial Intelligence Language
2.6 Artificial Intelligence Systems
2.7 AI Outcomes and Enterprise Benefits
2.8 Conversational User Interfaces
2.9 Cognitive Computing and Swarm Intelligence
2.10 AI Market Drivers and Impact
2.11 AI Market Constraints
2.12 AI Market Opportunities
2.13 AI Market Outlook and Predictions

3 Technology and Impact Analysis
3.1 AI Technology Matrix
3.2 AI Technology Readiness
3.3 Machine Learning APIs
3.4 AI Technology Goal
3.5 AI Tools and Approaches
3.6 Emotion AI
3.7 IoT Application and Big Data Analytics
3.8 Data Science and Predictive Analytics
3.9 Edge Computing and 5G Network
3.10 Cloud Computing and Machine Learning
3.11 Smart Machine and Virtual Twinning
3.12 Factory Automation and Industry 4.0
3.13 Building Automation and Smart Workplace
3.14 Cloud Robotics and Public Security
3.15 Self Driven Network and Domain Specific Network
3.16 Predictive 3D Design

4 Market and Application Analysis
4.1 AI Market Landscape
4.2 AI Application Delivery Platform
4.3 AIaaS and MLaaS
4.4 Enterprise Adoption and External Investment
4.5 Enterprise AI Drive Productivity Gains
4.6 AI Patent and Regulatory Framework
4.7 Value Chain Analysis
4.8 End User Industry and Application
4.9 AI Use Case Analysis
4.10 Competitive Landscape Analysis

5 Artificial Intelligence Market Analysis and Forecasts 2018 - 2023
5.1 Global AI Market Forecasts 2018 - 2023
5.2 Regional AI Market Forecasts 2018 - 2023

6 AI Embedded IoT Device and Things Deployment Forecasts 2018 - 2023
6.1 AI Embedded Connected IoT Device Deployment 2018 - 2023
6.2 AI Embedded Connected IoT Things and Objects Deployment 2018 - 2023

7 Company Analysis
7.1 NVIDIA Corporation
7.2 IBM Corporation
7.3 Intel Corporation
7.4 Samsung Electronics Co Ltd.
7.5 Microsoft Corporation
7.6 Google Inc.
7.7 Baidu Inc.
7.8 Qualcomm Incorporated
7.9 Huawei Technologies Co. Ltd.
7.10 Fujitsu Ltd.
7.11 H2O.ai
7.12 Juniper Networks, Inc.
7.13 Nokia Corporation
7.14 ARM Limited
7.15 Hewlett Packard Enterprise (HPE)
7.16 Oracle Corporation
7.17 SAP
7.18 Siemens AG
7.19 Apple Inc.br />7.20 General Electric (GE)



7.21 ABB Ltd.
7.22 LG Electronics
7.23 Koninklijke Philips N.V
7.24 Whirlpool Corporation
7.25 AB Electrolux
7.26 Wind River Systems Inc.
7.27 Cumulocity GmBH
7.28 Digital Reasoning Systems Inc.
7.29 SparkCognition Inc.
7.30 KUKA AG
7.31 Rethink Robotics
7.32 Motion Controls Robotics Inc.
7.33 Panasonic Corporation
7.34 Haier Group Corporation
7.35 Miele
7.36 Next IT Corporation
7.37 Nuance Communications Inc.
7.38 InteliWISE
7.39 Facebook Inc.
7.40 Salesforce
7.41 Amazon Inc.
7.42 SK Telecom
7.43 motion.ai
7.44 Buddy
7.45 AOL Inc.
7.46 Tesla Inc.
7.47 Inbenta Technologies Inc.
7.48 Cisco Systems
7.49 MAANA
7.50 Veros Systems Inc.
7.51 PointGrab Ltd.
7.52 Tellmeplus
7.53 Xiaomi Technology Co. Ltd.
7.54 Leap Motion Inc.
7.55 Atmel Corporation
7.56 Texas Instruments Inc.
7.57 Advanced Micro Devices (AMD) Inc.
7.58 XILINX Inc.
7.59 Omron Adept Technology
7.60 Gemalto N.V.
7.61 Micron Technology
7.62 SAS Institute Inc.
7.63 AIBrian Inc.
7.64 QlikTech International AB
7.65 MicroStrategy Incorporated
7.66 Brighterion Inc.
7.67 IPsoft Inc.
7.68 24/7.ai Inc.
7.69 General Vision Inc.
7.70 Sentient Technologies Holdings Limited
7.71 Graphcore
7.72 CloudMinds
7.73 Rockwell Automation Inc.
7.74 Tend.ai
7.75 SoftBank Robotics Holding Corp.
7.76 iRobot Corp.
7.77 Lockheed Martin
7.78 Spacex

8 Conclusions and Recommendations
8.1 Advertisers and Media Companies
8.2 Artificial Intelligence Providers
8.3 Automotive Companies
8.4 Broadband Infrastructure Providers
8.5 Communication Service Providers
8.6 Computing Companies
8.7 Data Analytics Providers
8.8 Equipment (AR, VR, and MR) Providers
8.9 Networking Equipment Providers
8.10 Networking Security Providers
8.11 Semiconductor Companies
8.12 IoT Suppliers and Service Providers
8.13 Software Providers
8.14 Smart City System Integrators
8.15 Automation System Providers
8.16 Social Media Companies
8.17 Workplace Solution Providers
8.18 Large Businesses and SMBs


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

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
2.5 AI and ML Technology Goal
2.6 AI Approaches
2.7 AI Tools
2.8 AI Outcome
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
3.2 Machine Learning APIs and Big Data Development
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

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

7 AI Solution in Big Data and IoT Market Forecast 2018 - 2023
7.1 Aggregated AI Solution Market 2018 - 2023
7.2 AI Solution Market by Segment 2018 - 2023
7.3 AI Embedded Solution Market 2018 - 2023
7.4 AI Predictive Analytics Market 2018 - 2023
7.5 AI Professional Service Market in Big Data and IoT 2018 - 2023

8 AI Embedded Connected IoT Device and Things 2018 - 2023
8.1 AI Embedded Connected IoT Device 2018 - 2023
8.2 AI Embedded Connected IoT Things 2018 - 2023

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
11.2 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

IoT Technology by Component, Infrastructure, Software, Platform, Application, Service, and Industry Verticals

1 Introduction
1.1 Executive Summary
1.2 Research Objectives
1.3 Select Findings
1.4 Target Audience
1.5 Companies in the Report

2 Overview
2.1 Defining the Internet of Things
2.2 IoT Technology
2.3 IoT Functional Structure
2.4 IoT Network Architecture
2.5 Economic Impact Analysis
2.6 Market Factors and Challenges
2.7 Artificial Intelligence and Machine Learning
2.8 Edge Computing and Fog Computing
2.9 Digital Twin Technology
2.10 5G IoT Network
2.11 Blockchain Technology
2.12 Cloud Computing
2.13 Internet of Nanoscale Things (IoNT)

3 Technology and Value Chain Analysis
3.1 IoT Semiconductor Building Blocks
3.2 IoT Chipsets
3.3 Network Technology and Protocol
3.4 Real Time Operating System (RTOS)
3.5 IoT Software and Platform
3.6 IoT Industry Application
3.7 IoT Value Chain Analysis
3.8 IoT Investments and Market Alliances
3.9 Role of Mobile Network Operators

4 IoT Technology Market Analysis and Forecasts 2018 - 2023
4.1 Global IoT Technology Market 2018 - 2023
4.2 Global AI Equipped IoT Technology Market 2018 - 2023
4.3 Global 5G Driven IoT Technology Market 2018 - 2023
4.4 Global Edge Computing Enabled IoT Technology Market 2018 - 2023
4.5 Global Blockchain Based IoT Technology Market 2018 - 2023
4.6 Regional IoT Technology Market 2018 - 2023
4.7 IoT Semiconductor Unit Shipment Forecasts 2018 - 2023
4.8 IoT Software Unit Deployment Forecasts 2018 - 2023

5 Company Analysis
5.1 NVIDIA Corporation
5.2 IBM Corporation
5.3 Intel Corporation
5.4 Samsung Electronics Co Ltd.
5.5 Microsoft Corporation
5.6 Google Inc.
5.7 Qualcomm Incorporated
5.8 Huawei Technologies Co. Ltd.
5.9 Fujitsu Ltd.
5.10 Juniper Networks, Inc.
5.11 Nokia Corporation
5.12 ARM Limited
5.13 Hewlett Packard Enterprise (HPE)
5.14 Oracle Corporation
5.15 SAP
5.16 General Electric (GE)
5.17 Wind River Systems Inc.
5.18 Cumulocity GmBH
5.19 SparkCognition Inc.
5.20 Amazon Inc. (AWS)
5.21 Cisco Systems
5.22 Atmel Corporation
5.23 Texas Instruments Inc.
5.24 Advanced Micro Devices (AMD) Inc.
5.25 XILINX Inc.
5.26 Gemalto N.V.
5.27 Micron Technology
5.28 SAS Institute Inc.
5.29 General Vision Inc.
5.30 PTC Corporation
5.31 Analog Devices Inc.
5.32 Cypress Semiconductor Corp
5.33 Rohm Semiconductor
5.34 Semtech Corporation
5.35 Enea AB
5.36 Express Logic Inc.
5.37 Kaspersky Lab
5.38 Losant IoT Inc.
5.39 Thethings.io
5.40 Robert Bosch GmbH
5.41 Echelon Corporation
5.42 Symantec Corporation
5.43 NXP Semiconductors N.V.
5.44 STMicroelectronics
5.45 MediaTek Inc.
5.46 Microchip Technology Inc.
5.47 Renesas Electronics Corporation
5.48 Ayla Networks Inc.
5.49 Pepper
5.50 Helium Systems Inc.

6 Conclusions and Recommendations
6.1 Advertisers and Media Companies
6.2 Artificial Intelligence Providers
6.3 Automotive Companies
6.4 Broadband Infrastructure Providers
6.5 Communication Service Providers
6.6 Computing Companies
6.7 Data Analytics Providers
6.8 Equipment (AR, VR, and MR) Providers
6.9 Networking Equipment Providers
6.10 Networking Security Providers
6.11 Semiconductor Companies
6.12 IoT Suppliers and Service Providers
6.13 Software Providers
6.14 Smart City System Integrators
6.15 Automation System Providers
6.16 Social Media Companies
6.17 Workplace Solution Providers
6.18 Enterprise and Government

Next Generation Networking for Artificial Intelligence (AI): Market Outlook for AI driven SDN, 5G, IoT, and Network Analytics

1 Introduction
1.1 Unified Network, IoT, and AI
1.2 AI Driven Network
1.3 Intent Based Network
1.4 Self-driven Networks
1.5 Augmented Intelligence
1.6 AI Technology
1.7 Market Drivers and Challenges

2 Technology and Market Landscape
2.1 Networking Equipment, Platforms, and Services
2.2 Enterprise Networking
2.3 IoT Networking Technology
2.4 IoT Application
2.5 Network Optimization
2.6 Network Automation
2.7 Network Transformation
2.8 Edge Computing and AI
2.9 Software Driven Networking (SDN)
2.10 Software Defined Infrastructure (SDI)
2.11 AI-Defined Infrastructure (ADI)
2.12 Network Function Virtualization (NFV)
2.13 Telecom Infrastructure and Cloud RAN (C-RAN)
2.14 New Radio Technology and 5G Network
2.15 AI Powered Network Analytics
2.16 Competitive Landscape

3 AI driven Networking Market Analysis and Forecasts
3.1 Total AI-driven Networking Solution Market
3.2 AI driven Networking Solution Market by Segment
3.3 AI Driven Networking Solution Market by AI Technology Type
3.4 AI Driven Networking Solution Market by Deployment Type
3.5 AI Driven Networking Solution Market by Industry Sector
3.6 AI Driven Networking Solution Market by Organization Type
3.7 AI Driven Networking Solution Market by Network Type
3.8 AI Driven Networking Solution Market by Network Platform
3.9 AI Driven Networking Solution Market by IoT Application Type
3.10 AI Driven Networking Solution Market by 5G Network Type
3.11 AI Driven Networking Solution Market by Industry Vertical
3.12 AI Driven Networking Solution Market by Region

4 Company Analysis
4.1 Cisco Systems
4.2 Hewlett Packard Enterprise (HPE)
4.3 IBM Corporation
4.4 Samsung Electronics Co Ltd.
4.5 Baidu Inc.
4.6 NVIDIA Corporation
4.7 Google Inc.
4.8 Microsoft Corporation
4.9 Dell EMC
4.10 Nokia Corporation
4.11 ARM Limited
4.12 Xively
4.13 PTC Corporation
4.14 Huawei Technologies Co. Ltd.
4.15 ZTE Corporation
4.16 Intel Corporation
4.17 Ericsson AB
4.18 Fujitsu Ltd.
4.19 NEC Corporation
4.20 H2O.ai
4.21 Qualcomm Incorporated
4.22 Juniper Networks, Inc.
4.23 Accenture PLC
4.24 Brocade Communication Systems
4.25 VMware Inc.
4.26 Aricent Inc.
4.27 Arista Networks Inc.
4.28 Extreme Networks
4.29 NETSCOUT
4.30 ECI Telecom
4.31 Foxconn Electronics Inc.
4.32 NETGEAR
4.33 Riverbed Technology

5 Conclusions and Recommendations
5.1 Artificial Intelligence Providers
5.2 Broadband Infrastructure Providers
5.3 Communication Service Providers
5.4 Computing Companies
5.5 Data Analytics Providers
5.6 Networking Equipment Providers
5.7 Networking Security Providers
5.8 Semiconductor Companies
5.9 IoT Suppliers and Service Providers
5.10 Software and Platform Providers

For more information about this report visit https://www.researchandmarkets.com/research/t4xgwz/global_artificial?w=5

Did you know that we also offer Custom Research? Visit our Custom Research page to learn more and schedule a meeting with our Custom Research Manager.

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