Global AI Markets, 2022-2027 by Technology Type, Deployment Method, Solution Type, Integration and Industry Verticals – ResearchAndMarkets.com

DUBLIN–(BUSINESS WIRE)–The “AI Market by Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, and Devices) and Industry Verticals 2022 – 2027” report has been added to ResearchAndMarkets.com’s providing.

This report evaluates the AI know-how and options market, together with an evaluation of main AI distributors, methods, options and functions.

The report assesses the state of AI growth, implementation, and operation. The report analyzes the forecasts AI market sizing for by know-how kind, deployment methodology, resolution kind, community and know-how integration, and by trade verticals from 2022 by means of 2027.

Select Report Findings:

Total world AI resolution market will attain $282 billion by 2027, rising at 28.6% CAGR

Global unsupervised machine studying market will attain $14.3 billion by 2027, rising at 21.8% CAGR

The mixture of AI and IoT (AIoT) will drive as much as 27% of latest AI programs integration, primarily involving IIoT

AI options in a public cloud atmosphere shall be virtually thrice these of personal cloud deployments by means of 2027

Key AI know-how programs integration alternatives embrace Expert Systems, Decision Support Systems, Fuzzy Systems, and Multi-Agent Systems

Artificial Intelligence (AI) represents all kinds of applied sciences together with Machine Learning, Deep Learning, Natural language processing, and extra. We see AI more and more embedded inside many programs and functions together with the whole lot from knowledge administration to retail procuring.

The AI phase is presently very fragmented, characterised by most firms specializing in silo approaches to options. Longer-term, the writer sees many options involving a number of AI sorts in addition to integration throughout different key areas such because the Internet of Things (IoT) and knowledge analytics.

There are many potential use circumstances for AI throughout the cybersecurity area. For instance, AI could also be utilized in IoT to bolster safety, safeguard property, and scale back fraud. There are various opinions about safety in IoT.

For instance, some firms favour a distributed(decentralized) method whereas different firms consider a extra centralized method leveraging strictly centralized cloud structure makes extra sense. We see little risk by which signature-based mostly safety options will work with IoT in an edge computing atmosphere for quite a lot of causes together with the limitation on the throughput of communications between distributed endpoints and centralized cloud.

AI has varied benefits together with the truth that it’s a extra light-weight utility (as a result of it doesn’t require all the info that comes with monitoring digital signatures/code for recognized viruses), more practical in figuring out malware, simpler and more cost effective to keep up as there isn’t a must always establish new malware code. This is all as a result of AI-based safety is on the lookout for malicious behaviours relatively than recognized malicious code.

Longer-term, AI will transfer past fraud prevention and prevention of malicious acts as AI can be used to feed superior analytics and determination making. This can be very true in IoT options involving actual-time knowledge as AI can be used to make determinations for autonomous actions.

Consumer-facing apps and companies supported by AI are many and various together with chatbots and Virtual Personal Assistants (VPA) in assist of buyer care and way of life enhancement. The car trade is one other instance by which AI is changing into more and more helpful, each within the close to time period for options such because the inclusion of VPAs, and longer-time period use circumstances comparable to assist of self-driving automobiles. Another shopper market space by which AI can be built-in is wearable know-how. As wearables develop into extra mainstream and combine into on a regular basis life with rising dependency, there can be a necessity for integration with Artificial Intelligence, Big Data, and Analytics.

AI is predicted to have a big effect on knowledge administration. However, the impression goes nicely past knowledge administration as we anticipate that these applied sciences will more and more develop into a part of each community, gadget, utility, and service. One space vital to enterprise can be Intelligent Decision Support Systems (IDSS), that are a type of Expert System that make the most of AI to optimize determination making. IDSS can be utilized in many fields together with agriculture, medication, city growth, and different areas. IDSS can even be utilized in policymaking and technique on the highest ranges of enterprises nicely as governmental organizations.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

Defining Artificial Intelligence

Artificial Intelligence Types

Artificial Intelligence Systems

AI Outcomes and Enterprise Benefits

Cognitive Computing and Swarm Intelligence

AI Market SWOT Analysis

AI Technology Goals

AI Tools and Approaches

AI Market Predictions

AI Market Landscape

AI Patent and Regulatory Framework

Value Chain Analysis

Competitive Landscape Analysis

3.0 Technology and Application Analysis

AI Technology Matrix

AI Technology Readiness

AI Technology and Solution Integration

AI Application Delivery Platforms and Business Models

Enterprise Adoption and AI Investment

AI Applications in Industry Verticals

4.0 AI Ecosystem Analysis

NVidia Corporation

IBM Corporation

Intel Corporation

Samsung Electronics Co Ltd.

Microsoft Corporation

Google Inc.

Baidu Inc.

Qualcomm Incorporated

Huawei Technologies Co. Ltd.

Fujitsu Ltd.

H2O.ai

Juniper Networks, Inc.

Nokia Corporation

ARM Limited

Hewlett Packard Enterprise

Oracle Corporation

SAP

Siemens AG

Apple Inc.

General Electric

ABB Ltd.

LG Electronics

Koninklijke Philips N.V

Whirlpool Corporation

AB Electrolux

Wind River Systems Inc.

Cumulocity GmBH

Digital Reasoning Systems Inc.

SparkCognition Inc.

KUKA AG

Rethink Robotics

Motion Controls Robotics Inc.

Panasonic Corporation

Haier Group Corporation

Miele

Next IT Corporation

Nuance Communications Inc.

InteliWISE

Facebook Inc.

Salesforce

Amazon Inc.

SK Telecom

movement.ai

Buddy

AOL Inc.

Tesla Inc.

Inbenta Technologies Inc.

Cisco Systems

MAANA

Veros Systems Inc.

PointGrab Ltd.

Tellmeplus

Xiaomi Technology Co. Ltd.

Leap Motion Inc.

Atmel Corporation

Texas Instruments Inc.

Advanced Micro Devices Inc.

XILINX Inc.

Omron Adept Technology

Gemalto N.V.

Micron Technology

SAS Institute Inc.

AIBrian Inc.

QlikTech International AB

MicroTechnique Incorporated

Brighterion Inc.

IPsoft Inc.

24/7.ai Inc.

General Vision Inc.

Sentient Technologies Holdings Limited

Graphcore

CloudMinds

Rockwell Automation Inc.

Tend.ai

SoftBank Robotics Holding Corp.

iRobot Corp.

Lockheed Martin

Spacex

Fraight AI

Infor Global Solutions

Presenso

Teknowlogi

5.0 Market Analysis and Forecasts 2022 – 2027

AI Market

AI Market by Segment

AI Market by Management Functions

AI Market by Technology

AI Market by Industry Vertical

AI Market by Solution Type

AI Market by Deployment Method

AI Market by AI System

AI Market by AI Type

AI Market by Connectivity

AI Market in IoT Networks

AI Market in IoT Edge Computing

AI Analytics Market

AI Market by Intent-Based Networking

AI Market in Virtualized Infrastructure

AI Market in 5G Networks

AI Market in Blockchain Networks

AI Market by Region

AI Embedded Unit Deployment Forecast 2022 – 2027

6.0 Conclusions and Recommendations

For extra details about this report go to https://www.researchandmarkets.com/r/huzqsq

https://www.businesswire.com/news/home/20220421005601/en/Global-AI-Markets-2022-2027-by-Technology-Type-Deployment-Method-Solution-Type-Integration-and-Industry-Verticals—ResearchAndMarkets.com

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