DUBLIN, Sept. 18, 2018 /PRNewswire/ —

The “Artificial Intelligence Market by Platforms, Components, Deployment Mode, Applications, and Industry Verticals 2018 – 2023” report has been added to ResearchAndMarkets.com’s offering.

AI embedded IoT things/objects deployment will reach 35.7 billion by 2023.

This report provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services.

Artificial Intelligence (AI) represents a combination of various technologies including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Speech Recognition, Context Aware Processing, Neural Network, and Predictive APIs. AI will transform more than 90% of large organizations across consumer, enterprise, industrial, and government sectors. Supporting this transformation,

The report evaluates leading solution providers including hardware, software, integrated platforms, and services. The report includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical. Forecast also cover each major market sector including consumer, enterprise, industrial, and government. The report also includes specific industry recommendations with respect to Artificial Intelligence hardware, software and services.

Select Report Findings:

• Global AI Chipsets market will reach $6.6B USD by 2023
• North America will lead the AI market with 34% share by 2023
• The combined global AI market will grow at 37% CAGR through 2023
• Global AI in embedded IoT devices market will approach $26.2B USD by 2023
• AI Software embedded with business application will lead the AI Software market

Select Report Benefits:

• Global and regional AI forecasts from 2018 to 2023
• Identify AI market trends, challenges, and opportunities
• Identify leading AI hardware, software, and service providers
• Analysis of AI value chain, technology readiness, use cases, apps and services
• 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

Target Audience:

• AI companies
• Robotics companies
• Investment organizations
• Data management vendors
• Industrial automation companies
• Enterprise across all industry verticals

Key Topics Covered:

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
3.1.1 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
3.3 Machine Learning APIs
3.3.1 IBM Watson API
3.3.2 Microsoft Azure Machine Learning API
3.3.3 Google Prediction API
3.3.4 Amazon Machine Learning API
3.3.5 BigML
3.3.6 AT&T Speech API
3.3.7 Wit.ai
3.3.8 AlchemyAPI
3.3.9 Diffbot
3.3.10 PredictionIO
3.3.11 General Application Environment
3.4 AI Technology Goal
3.5 AI Tools and Approaches
3.6 Emotion AI
3.6.1 Facial Detection APIs
3.6.2 Text Recognition APIs
3.6.3 Speech Recognition APIs
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
4.1.1 Embedded Device and Things
4.1.2 AI Software and Platform
4.1.3 AI Component and Chipsets
4.1.4 AI Service and Deployment
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
4.7.1 Artificial Intelligence Companies
4.7.2 IoT Companies and Suppliers
4.7.3 Data Analytics Providers
4.7.4 Connectivity Infrastructure Providers
4.7.5 Components and Chipsets Manufacturers
4.7.6 Software Developers and Data Scientists
4.7.7 End Users
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
5.1.1 Total AI Market
5.1.2 AI Market by Segment
5.1.3 AI Market by Hardware Segment
5.1.3.1 AI Market by Embedded Device
5.1.3.1.1 AI Market by Embedded Non-IoT Device
5.1.3.1.2 AI Market by Embedded IoT Device
5.1.3.1.3 AI Market by Embedded Wearable Device
5.1.3.1.4 AI Market by Embedded Medical and Healthcare Device
5.1.3.1.5 AI Market by Embedded Appliances
5.1.3.1.6 AI Market by Embedded Industrial Machine
5.1.3.1.7 AI Market by Embedded Entertainment Device
5.1.3.1.8 AI Market by Embedded Security Device
5.1.3.1.9 AI Market by Embedded Network Device
5.1.3.1.10 AI Market by Embedded Connected Vehicle Device
5.1.3.1.11 AI Market by Embedded Smart Grid Device
5.1.3.1.12 AI Market by Embedded Military Device
5.1.3.1.13 AI Market by Embedded Energy Management Device
5.1.3.1.14 AI Market by Embedded Agriculture Specific Device
5.1.3.1.15 AI Market by Embedded Industrial IoT Device
5.1.3.2 AI Market by Embedded IoT Things and Objects
5.1.3.1 AI Market by Embedded Components
5.1.3.1.1 AI Market by Embedded Processors
5.1.3.1.2 AI Embedded Chipsets Market by Technology
5.1.3.1.3 AI Embedded Chipsets Market by Machine Learning Technology
5.1.4 AI Market by Software Segment
5.1.4.1 AI Application Embedded Software Market by Application Type
5.1.4.2 AI Application Embedded Software Market by Deployment Type
5.1.4.3 AI Market by AI Platform
5.1.5 AI Market by Service Segment
5.1.5.1 AI Market by Professional Service Segment
5.1.6 AI Market by AI Technology
5.1.6.1 AI Market by Machine Learning Technology
5.1.7 AI Market by AI System
5.1.8 AI Market by AI Category
5.1.9 AI Market by End User Industry
5.1.9.1 AI Market by Medical and Healthcare Application
5.1.9.2 AI Market by Manufacturing Application
5.1.9.3 AI Market by Consumer Electronics Application
5.1.9.4 AI Market by Automotive and Transportation Application
5.1.9.5 AI Market by Retail and Apparel Application
5.1.9.6 AI Market by Marketing Application
5.1.9.7 AI Market by FinTech Application
5.1.9.8 AI Market by Building and Construction Application
5.1.9.9 AI Market by Agriculture Application
5.1.9.10 AI Market by Security and Surveillance Application
5.1.9.11 AI Market by Government and Military Application
5.1.9.12 AI Market by Human Resource Application
5.1.9.13 AI Market by Law Application
5.1.9.14 AI Market by Telecommunication and IT Application
5.1.9.15 AI Market by Oil, Gas and Mining Application
5.1.9.16 AI Market by Logistics Application
5.1.9.17 AI Market by Education Application
5.1.10 AI Market by Consumer, Enterprise, Industrial, and Government Sector
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
6.1.1 Total AI Embedded Connected IoT Device
6.1.2 AI Embedded Connected IoT Device by IoT Sector
6.1.2.1 AI Embedded Consumer IoT Device Deployment
6.1.2.1.1 AI Embedded Consumer IoT Device Deployment by Device Type
6.1.2.1.2 AI Embedded Consumer IoT Device Deployment by Wearable Device
6.1.2.1.3 AI Embedded Consumer IoT Device Deployment by Smart Appliances
6.1.2.1.4 AI Embedded Consumer IoT Device Deployment by Entertainment Device
6.1.2.1.5 AI Embedded Consumer IoT Device Deployment by Connected Vehicle Device
6.1.2.1.6 AI Embedded Consumer IoT Device Deployment by Energy Device
6.1.2.2 AI Embedded Enterprise IoT Device Deployment
6.1.2.2.1 AI Embedded Enterprise IoT Device Deployment by Device Type
6.1.2.2.2 AI Embedded Enterprise IoT Device Deployment by Medical and Healthcare Device
6.1.2.2.3 AI Embedded Enterprise IoT Device Deployment by Home Healthcare Device
6.1.2.2.4 AI Embedded Enterprise IoT Device Deployment by Security Device
6.1.2.2.5 AI Embedded Enterprise IoT Device Deployment by Network Device
6.1.2.3 AI Embedded Industrial IoT Device Deployment
6.1.2.3.1 AI Embedded Industrial IoT Device Deployment by Device Type
6.1.2.3.2 AI Embedded Industrial IoT Device Deployment by Industrial Machine
6.1.2.3.3 AI Embedded Industrial IoT Device Deployment by Smart Grid Device
6.1.2.3.4 AI Embedded Industrial IoT Device Deployment by Agriculture Specific Device
6.1.2.4 AI Embedded Government IoT Device Deployment by Device Type
6.1.3 AI Embedded Connected IoT Device Deployment by AI Technology
6.1.4 AI Embedded Connected IoT Device Deployment by AI System
6.1.5 AI Embedded Connected IoT Device Deployment by End User Industry
6.1.6 AI Embedded Connected IoT Device Deployment by Region
6.1.6.1 North America AI Embedded Connected IoT Device Deployment by Country
6.1.6.2 Europe AI Embedded Connected IoT Device Deployment by Country
6.1.6.3 APAC AI Embedded Connected IoT Device Deployment by Country
6.1.6.4 MEA AI Embedded Connected IoT Device Deployment by Country
6.1.6.5 Latin America AI Embedded Connected IoT Device Deployment by Country
6.2 AI Embedded Connected IoT Things and Objects Deployment 2018 – 2023
6.2.1 Total AI Embedded Connected IoT Things and Objects
6.2.2 AI Embedded Connected IoT Things and Objects by IoT Sector
6.2.3 AI Embedded Connected IoT Things and Objects by Application
6.2.4 AI Embedded Connected IoT Things and Objects Deployment by AI Technology
6.2.5 AI Embedded Connected IoT Things and Objects Deployment by AI System
6.2.6 AI Embedded Connected IoT Things and Objects Deployment by End User Industry
6.2.7 AI Embedded Connected IoT Things and Objects Deployment by Region
6.2.7.1 North America AI Embedded Connected IoT Things and Objects Deployment by Country
6.2.7.2 Europe AI Embedded Connected IoT Things and Objects Deployment by Country
6.2.7.3 APAC AI Embedded Connected IoT Things and Objects Deployment by Country
6.2.7.4 MEA AI Embedded Connected IoT Things and Objects Deployment by Country
6.2.7.5 Latin America AI Embedded Connected IoT Things and Objects Deployment by Country

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.
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

For more information about this report visit

https://www.researchandmarkets.com/research/7tqsgm/global_artificial?w=5

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