Artificial Intelligence and Internet of Things Convergence (AIoT) Market Overview & Outlook 2018-2023 - The Global General AI Market will Reach $50.8 Billion by 2023 with 42% CAGR
DUBLIN, Dec. 12, 2018 /PRNewswire/ --
The "Artificial Intelligence and Internet of Things Convergence: AIoT Technologies, Integration, Infrastructure, Solutions, Applications and Services by Industry Vertical 2018-2023" report has been added to ResearchAndMarkets.com's offering.
This is the most comprehensive research focused on the convergence of AI and IoT, leading to integrated AIoT solutions for consumer, enterprise, industrial, and government sectors across a wide variety of industry verticals.
This research evaluates technologies and solutions individually as well as by business application such as data analytics and decisions support services.
It provides comprehensive market analysis and forecasts from 2018 to 2023 for a wide range of markets including AIoT support of cognitive computing, data analytics, next generation networks, smart machines, and more.
The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) technologies and solutions (AIoT) is leading to thinking networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals.
AI adds value to IoT through machine learning and improved decision making. IoT adds value to AI through connectivity, signaling, and data exchange.
While early solutions are rather monolithic, it is anticipated that AIoT integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions.
These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision making processes.
Select Findings
- IoT will represent 83% of the entire AI chipsets market by 2023
- Global AI in embedded IoT devices market will approach $26.2B USD by 2023
- The Global general AI market will reach $50.8 billion USD by 2023 with 42% CAGR
- 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
Key Topics Covered
AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2018 - 2023
1. Executive Summary
2. Introduction
2.1 AI System and IoT Semiconductor
2.2 AI Chipsets and Components
2.3 AI Chipsets to Aid General Purpose Application
2.4 Market Dynamics Analysis
2.5 AI Investment Trend
2.6 Vendor Market Share Analysis
3. Technology and Application Analysis
3.1 Chipsets Technology and Products
3.2 AI Technology to Embed with Chipset
3.3 AI Chipsets Deployment and Platform
3.4 IoT Sector to Drive the Deployment of AI Chipsets
3.5 Application and Industry Analysis
3.6 Regional Market Analysis
3.7 Value Chain Analysis
3.8 5G Network and Edge Computing
3.9 Cloud Computing and Data Analytics
3.10 Industry 4.0 and Factory Automation
3.11 Autonomous Networks
3.12 AI support of Blockchain Networks
3.13 AI Chipsets and Quantum Computing
3.14 Machine Intelligence and Role of AI Chipsets
3.15 Nanoscale Technology
3.16 Role of Mobile Network Operators (MNOs)
4. Market Analysis and Forecast 2018 - 2023
4.1 Global AI Chipsets Market 2018 - 2023
4.2 Regional AI Chipsets Market 2018 - 2023
4.3 AI Chipsets Deployment Forecast 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 Baidu Inc.
5.8 Qualcomm Incorporated
5.9 Huawei Technologies Co. Ltd.
5.10 Fujitsu Ltd.
5.11 Softbank Group Corp. (ARM Limited)
5.12 Apple Inc.
5.13 Amazon Inc. (AWS)
5.14 SK Telecom
5.15 Inbenta Technologies Inc.
5.16 Microchip Technology Inc.
5.17 Texas Instruments Inc.
5.18 Advanced Micro Devices (AMD) Inc.
5.19 XILINX Inc.
5.20 Micron Technology
5.21 AIBrain Inc.
5.22 General Vision Inc.
5.23 Sentient Technologies Holdings Limited
5.24 Graphcore
5.25 Analog Devices Inc.
5.26 Cypress Semiconductor Corp
5.27 Rohm Semiconductor
5.28 Semtech Corporation
5.29 NXP Semiconductors N.V.
5.30 STMicroelectronics
5.31 MediaTek Inc.
5.32 Renesas Electronics Corporation
5.33 ZTE Corporation
5.34 NEC Corporation
5.35 Broadcom Corporation
5.36 Integrated Device Technology (IDT) Inc.
5.37 Toshiba Corporation
5.38 Adapteva Inc.
5.39 Applied Materials Inc.
5.40 Bitmain Technologies Inc.
5.41 Cambricon Technologies Corporation Limited
5.42 DeePhi Tech
5.43 Gyrfalcon Technology Inc.
5.44 Horizon Robotics
5.45 Mythic
5.46 Tenstorrent Inc.
5.47 Wave Computing
5.48 Mellanox Technologies
5.49 Koniku
5.50 Numenta Inc.
5.51 Imagination Technologies Limited
5.52 Synopsys Inc.
5.53 SenseTime
5.54 Marvell Technology Group Ltd.
5.55 Cadence Design Systems Inc.
5.56 Rockchip
5.57 VeriSilicon Limited
5.58 GROQ Inc.
5.59 Knuedge Inc.
5.60 KRTKL Inc.
5.61 Shanghai Think-Force Electronic Technology Co. Ltd.
5.62 SK Hynix Inc.
5.63 Taiwan Semiconductor Manufacturing Company Limited (TSMC)
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 Large Businesses, SMBs, and Governments
Next Generation Networking for Artificial Intelligence (AI): Market Outlook for AI driven SDN, 5G, IoT, and Network Analytics 2018-2023
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
IoT Technology by Component, Infrastructure, Software, Platform, Application, Service, and Industry Verticals 2018-2023
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
Smart Machines in Enterprise and Industrial IoT: Market Outlook and Forecasts 2018-2023
1 Introduction
1.1 Smart Machines in Perspective
1.2 Smart Machine Drivers
1.3 Smart Machine Market Development
1.4 Smart Machine Industry Dynamics
2 Smart Machine Ecosystem
2.1 Cognitive Computing and Artificial Intelligence
2.2 Sensor Networks and Smart Dust
2.3 Application Specific Algorithm and Machine Learning
2.4 Purpose Built Smart Machines and Neurocomputer
2.5 Intelligent Automation and Robotic Process Automation
2.6 Industrial Automation System
2.7 Workplace Automation Systems
2.8 IoT and Smart Systems
2.9 5G, MEC, and Cloud Computing
3 Smart Machine Market Analysis and Forecasts
3.1 Global Market Forecast 2018 - 2023
3.2 Regional Market Forecast 2018 - 2023
4 Company Analysis
4.1 IBM Corporation
4.2 Google Inc.
4.3 Narrative Science Inc.
4.4 Apple Inc.
4.5 Digital Reasoning Systems Inc.
4.6 Microsoft Corporation
4.7 General Electric Co.
4.8 Rockwell Automation Inc.
4.9 ABB Ltd.
4.10 LG Electronics
4.11 NVIDIA Corporation
4.12 SparkCognition Inc.
4.13 Cisco Systems
4.14 Koninklijke Philips N.V
4.15 Axis Communications AB
4.16 Hewlett Packard Enterprise
4.17 Samsung Electronics Co Ltd.
4.18 Baidu Inc.
4.19 KUKA AG
4.20 Motion Controls Robotics Inc.
4.21 Rethink Robotics
4.22 BAE Systems
4.23 Honeywell International Inc.
5 Conclusions and Recommendations
For more information about this report visit https://www.researchandmarkets.com/research/7pbs6v/artificial?w=5
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