Global Artificial Intelligence (AI) Industry Outlook, 2020-2025 – AI Chipsets, AI in Edge Networks, AI and 5G, AI and Real-time Data Processing -…

DUBLIN, April 23, 2020 /PRNewswire/ -- The "Artificial Intelligence Market by Technology, Infrastructure, Components, Devices, Solutions, and Industry Verticals 2020-2025" report has been added to ResearchAndMarkets.com's offering.

Key Highlights

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.

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. The forecast also covers 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 including:

AI Chipsets: The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. This will also be transformational for existing critical business functions such as Identity management, authentication, and cybersecurity. Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden pattern among data, predict actionable insight, and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance.

AI in Edge Networks: Computing at the edge of IT and communications networks will require a different kind of intelligence. AI will be required for both security (data and infrastructure) as well as to optimize the flow of information in the form of streaming data and the ability to optimize decision-making via real-time data analytics. Edge networks will be the point of the spear so to speak when it comes to data handling, meaning that streaming data will be available for processing and decision-making. While advanced data analytics software solutions can be very effective for this purpose, there will be opportunities to enhance real-time data analytics by way of leveraging AI to automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.

AI and 5G: The role and importance of AI in 5G ranges from optimizing resource allocation to data security and protection of network and enterprise assets. However, the concept of using AI in networking is a relatively new area that will ultimately require a more unified approach to fully realize its great potential. In addition, AI will assist 5G network slicing, which represents the ability to dynamically allocate bandwidth, and enforce associated service level agreements, and a per-customer and per-application basis. AI will automate the process of assigning network slices, including informing enterprise customers when the slices they are requesting are not in their best interest based on anticipated network conditions.

AI and Real-time Data Processing: 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 addition, AI will support data management across all of these areas. The growing amount of human-oriented and machine-generated from communications, applications, content, and commerce data will drive substantial opportunities for AI support of unstructured data analytics solutions.

The outlook for AI in support of the ICT industry is strong, especially when one considers that the purpose of telecom and IT services is to support virtually every other industry in terms of communications, applications, content, and commerce.

Key Topics Covered

1. Executive Summary

2. Overview2.1 Defining Artificial Intelligence2.2 Artificial General Intelligence2.3 Artificial Super Intelligence2.4 Artificial Intelligence Types2.5 Artificial Intelligence Language2.6 Artificial Intelligence Systems2.7 AI Outcomes and Enterprise Benefits2.8 Conversational User Interfaces2.9 Cognitive Computing and Swarm Intelligence2.10 AI Market Drivers and Impact2.11 AI Market Constraints2.12 AI Market Opportunities2.13 AI Market Outlook and Predictions

3. Technology Impact Analysis3.1 AI Technology Matrix3.1.1 Machine Learning3.1.1.1 Deep Learning3.1.1.2 Supervised vs. Unsupervised Learning3.1.1.3 Reinforcement Learning3.1.2 Natural Language Processing3.1.3 Computer Vision3.1.4 Speech Recognition3.1.5 Context-Aware Processing3.1.6 Artificial Neural Network3.1.7 Predictive APIs3.1.8 Autonomous Robotics3.2 AI Technology Readiness3.3 Machine Learning APIs3.3.1 IBM Watson API3.3.2 Microsoft Azure Machine Learning API3.3.3 Google Prediction API3.3.4 Amazon Machine Learning API3.3.5 BigML3.3.6 AT&T Speech API3.3.7 Wit.ai3.3.8 AlchemyAPI3.3.9 Diffbot3.3.10 PredictionIO3.3.11 General Application Environment3.4 AI Technology Goal3.5 AI Tools and Approaches3.6 Emotion AI3.6.1 Facial Detection APIs3.6.2 Text Recognition APIs3.6.3 Speech Recognition APIs3.7 IoT Application and Big Data Analytics3.8 Data Science and Predictive Analytics3.9 Edge Computing and 5G Network3.10 Cloud Computing and Machine Learning3.11 Smart Machine and Virtual Twinning3.12 Factory Automation and Industry 4.03.13 Building Automation and Smart Workplace3.14 Cloud Robotics and Public Security3.15 Self-Driven Network and Domain-Specific Network3.16 Predictive 3D Design

4. Market Solutions and Applications Analysis4.1 AI Market Landscape4.1.1 Embedded Device and Things4.1.2 AI Software and Platform4.1.3 AI Component and Chipsets4.1.4 AI Service and Deployment4.2 AI Application Delivery Platform4.3 AIaaS and MLaaS4.4 Enterprise Adoption and External Investment4.5 Enterprise AI Drive Productivity Gains4.6 AI Patent and Regulatory Framework4.7 Value Chain Analysis4.7.1 Artificial Intelligence Companies4.7.2 IoT Companies and Suppliers4.7.3 Data Analytics Providers4.7.4 Connectivity Infrastructure Providers4.7.5 Components and Chipsets Manufacturers4.7.6 Software Developers and Data Scientists4.7.7 End Users4.7.8 End-User Industry and Application4.8 AI Use Case Analysis4.9 Competitive Landscape Analysis

5. Company Analysis5.1 NVIDIA Corporation5.2 IBM Corporation5.3 Intel Corporation5.4 Samsung Electronics Co Ltd.5.5 Microsoft Corporation5.6 Google Inc.5.7 Baidu Inc.5.8 Qualcomm Incorporated5.9 Huawei Technologies Co. Ltd.5.10 Fujitsu Ltd.5.11 H2O.ai5.12 Juniper Networks, Inc.5.13 Nokia Corporation5.14 ARM Limited5.15 Hewlett Packard Enterprise (HPE)5.16 Oracle Corporation5.17 SAP5.18 Siemens AG5.19 Apple Inc.5.20 General Electric (GE)5.21 ABB Ltd.5.22 LG Electronics5.23 Koninklijke Philips N.V5.24 Whirlpool Corporation5.25 AB Electrolux5.26 Wind River Systems Inc.5.27 Cumulocity GmBH5.28 Digital Reasoning Systems Inc.5.29 SparkCognition Inc.5.30 KUKA AG5.31 Rethink Robotics5.32 Motion Controls Robotics Inc.5.33 Panasonic Corporation5.34 Haier Group Corporation5.35 Miele5.36 Next IT Corporation5.37 Nuance Communications Inc.5.38 InteliWISE5.39 Facebook Inc.5.40 Salesforce5.41 Amazon Inc.5.42 SK Telecom5.43 motion.ai5.44 Buddy5.45 AOL Inc.5.46 Tesla Inc.5.47 Inbenta Technologies Inc.5.48 Cisco Systems5.49 MAANA5.50 Veros Systems Inc.5.51 PointGrab Ltd.5.52 Tellmeplus5.53 Xiaomi Technology Co. Ltd.5.54 Leap Motion Inc.5.55 Atmel Corporation5.56 Texas Instruments Inc.5.57 Advanced Micro Devices (AMD) Inc.5.58 XILINX Inc.5.59 Omron Adept Technology5.60 Gemalto N.V.5.61 Micron Technology5.62 SAS Institute Inc.5.63 AIBrian Inc.5.64 QlikTech International AB5.65 MicroStrategy Incorporated5.66 Brighterion Inc.5.67 IPsoft Inc.5.68 24/7.ai Inc.5.69 General Vision Inc.5.70 Sentient Technologies Holdings Limited5.71 Graphcore5.72 CloudMinds5.73 Rockwell Automation Inc.5.74 Tend.ai5.75 SoftBank Robotics Holding Corp.5.76 iRobot Corp.5.77 Lockheed Martin5.78 Spacex5.79 Fraight AI5.80 Infor Global Solutions5.81 Presenso5.82 Teknowlogi

6. AI Market Analysis and Forecasts 2019-20246.1 AI Market6.2 AI Market by Segment6.2.1 Hardware6.2.1.1 Embedded Device6.2.1.1.1 Non-IoT Device6.2.1.1.2 IoT Device6.2.1.1.2.1 Wearable Devices6.2.1.1.2.2 Medical and Healthcare Devices6.2.1.1.2.3 Smart Appliances6.2.1.1.2.4 Industrial Machines6.2.1.1.2.5 Robots and Drone6.2.1.1.2.6 Service Robots6.2.1.1.2.7 Entertainment Devices6.2.1.1.2.8 Security Devices6.2.1.1.2.9 Networking Device6.2.1.1.2.10 In-Vehicle IoT Device6.2.1.1.2.11 Smart Grid Device6.2.1.1.2.12 Military Device6.2.1.1.2.13 Energy Management Device6.2.1.1.2.14 Agriculture Specific Device6.2.1.2 Embedded IoT System6.2.1.3 Semiconductor Components6.2.1.3.1 Wearable and Embedded Components6.2.1.3.1.1 Real-Time Location System (RTLS)6.2.1.3.1.2 Barcode6.2.1.3.1.3 Barcode Scanner6.2.1.3.1.4 Barcode Scanner Technology Levels6.2.1.3.1.5 Barcode Stickers6.2.1.3.1.6 RFID6.2.1.3.1.7 RFID Tags6.2.1.3.1.8 Sensor6.2.1.3.2 Processors6.2.2 Software6.2.2.1 Software Category6.2.2.1.1 AI Platform6.2.3 Services6.2.3.1 Professional Services6.3 AI Market by Management Functions6.4 AI Market by Technology6.4.1 Machine Learning6.5 AI Market by Industry Vertical6.5.1 Medical and Healthcare6.5.2 Manufacturing6.5.3 Consumer Electronics6.5.4 Automotive and Transportation6.5.5 Retail and Apparel6.5.6 Marketing and Advertising6.5.7 FinTech6.5.8 Building and Construction6.5.9 Agriculture6.5.10 Security and Surveillance6.5.11 Government, Military, and Aerospace6.5.12 Human Resource6.5.13 Legal and Law6.5.14 Telecommunication and IT6.5.15 Oil, Gas, and Mining6.5.16 Logistics6.5.17 Education and Learning6.6 AI Market by Solution6.7 AI Market by Deployment6.7.1 Cloud Deployment6.8 AI Market by AI System6.9 AI Market by AI Type6.10 AI Market by Connectivity6.10.1 Non-Telecom Connectivity6.10.2 Telecom Connectivity6.10.3 Connectivity Standard6.10.4 Enterprise6.11 AI Market by IoT Network6.12 AI Market by IoT Edge Network6.13 AI Analytics Market6.14 AI Market by Intent-Based Networking6.15 AI Market by Virtualization6.16 AI Market by 5G Network6.17 AI Market by Blockchain Network6.18 AI Market by Region6.18.1 North America6.18.2 Asia Pacific6.18.2.1 China6.18.2.2 South Korea6.18.2.3 Taiwan6.18.2.4 Rest of Asia6.18.3 Europe6.18.4 Middle East and Africa6.18.5 Latin America6.19 AI Embedded Unit Deployment Forecast6.19.1 Unit Deployment by Solution6.19.1.1 Non-IoT Device6.19.1.2 IoT Device6.19.1.3 IoT Things and Objects6.19.1.4 IoT Semiconductor6.19.1.5 Software6.19.2 Unit Deployment by Region6.19.2.1 North America6.19.2.2 Asia-Pacific6.19.2.3 Europe6.19.2.4 Middle East and Africa6.19.2.5 Latin America

7. Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/99dx1y

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Global Artificial Intelligence (AI) Industry Outlook, 2020-2025 - AI Chipsets, AI in Edge Networks, AI and 5G, AI and Real-time Data Processing -...