Global Artificial Intelligence Solutions and Applications Market Research Report 2022-2027

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Global Artificial Intelligence Solutions Market

Global Artificial Intelligence Solutions Market

Global Artificial Intelligence Solutions Market

Dublin, April 26, 2022 (The Globe Newswire) – The Artificial Intelligence Market By Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, Hardware), Industry Segments 2022 – 2027 Report added to an offer.

This report evaluates the Artificial Intelligence Technologies and Solutions Market, including an analysis of the leading Artificial Intelligence vendors, strategies, solutions, and applications.

The report assesses the state of artificial intelligence development, implementation, and operation. The report analyzes the forecast of Artificial Intelligence market size by technology type, deployment method, solution type, network and technology integration, and by industry segments from 2022 to 2027.

Select the results report:

  • The global AI solutions market will total $282 billion by 2027, at a compound annual growth rate of 28.6%

  • The global unsupervised machine learning market will reach $14.3 billion by 2027, at a compound annual growth rate of 21.8%

  • The combination of artificial intelligence and the Internet of Things (AIoT) will drive up to 27% of the integration of new AI systems, primarily including the Internet of Things.

  • AI solutions in a public cloud environment should be nearly three times that of private cloud deployments by 2027

  • Major AI technology systems integration opportunities include expert systems, decision support systems, fog systems, and multi-agent systems

Artificial intelligence (AI) represents a variety of technologies including machine learning, deep learning, natural language processing, and more. We are seeing artificial intelligence increasingly integrated into many systems and applications including everything from data management to retail shopping.

The AI ​​sector is currently highly fragmented, characterized by the focus of most companies on a silos approach to solutions. In the longer term, the publisher sees many solutions that include multiple types of AI as well as integration across other key areas such as the Internet of Things (IoT) and data analytics.

There are many potential use cases for AI in cybersecurity. For example, AI can be used in the Internet of Things to enhance security, protect assets, and reduce fraud. There are mixed opinions about security in the Internet of Things.

For example, some companies prefer a distributed (decentralized) approach while others believe that a more centralized approach that benefits from a strict centralized cloud architecture makes more sense. We see little potential for signature-based security solutions to work with the Internet of Things in an evolving computing environment for a variety of reasons including limitations in the throughput of communications between distributed endpoints and a centralized cloud.

AI has many advantages including the fact that it is a lightweight application (because it does not require all the data that comes with tracking digital signatures/code of known viruses), is more effective in identifying malware, is easier and less costly to maintain as there is no need to identify Constantly new malware code. This is all because AI-based security looks for malicious behavior rather than known malicious code.

In the long term, AI will move beyond fraud prevention and malicious action prevention as AI will be used to fuel advanced analytics and decision making. This will be especially true in IoT solutions that include real-time data where AI will be used to make decisions about autonomous actions.

Consumer-facing applications and services powered by AI are many and varied, including chatbots and virtual personal assistants (VPAs) to support customer care and improve lifestyle. The auto industry is another example of AI becoming increasingly useful, both in the short-term for solutions like embedding VPAs, and in long-term use cases like supporting self-driving vehicles. Another area of ​​the consumer market where AI will be integrated is wearable technology. As wearables become more popular and integrate into everyday life with increasing dependency, there will be a need for integration with artificial intelligence, big data, and analytics.

AI is expected to have a significant impact on data management. However, the impact goes beyond data management as we expect these technologies to increasingly become a part of every network, device, application, and service. One important area of ​​the organization is Intelligent Decision Support Systems (IDSS), which is a form of expert system that uses artificial intelligence to improve decision-making. IDSS will be used in many fields including agriculture, medicine, urban development and other fields. IDSS will also be used to make policies and strategies at the highest levels of companies as well as governmental organizations.

Main topics covered:

1.0 Executive Summary

2.0 Introduction

  • Define artificial intelligence

  • types of artificial intelligence

  • artificial intelligence systems

  • AI outcomes and enterprise benefits

  • Cognitive computing and swarm intelligence

  • SWOT Analysis of the AI ​​Market

  • AI technology goals

  • Artificial intelligence tools and approaches

  • Artificial Intelligence Market Forecast

  • Artificial Intelligence Market View

  • Patents and the regulatory framework for artificial intelligence

  • value chain analysis

  • Competitive Landscape Analysis

3.0 Technology Analysis and Applications

  • artificial intelligence technology matrix

  • Readiness for artificial intelligence technology

  • Artificial intelligence technology and solutions integration

  • AI Application Delivery Platforms and Business Models

  • Enterprise adoption and investment in artificial intelligence

  • Artificial intelligence applications in industry sectors

4.0 AI Ecosystem Analysis

  • nvidia company

  • IBM Corporation

  • Intel Corporation

  • Samsung Electronics Co., Ltd.

  • Microsoft Corporation

  • Google Inc.

  • Baidu Inc

  • Qualcomm Incorporated

  • Huawei Technologies Co., Ltd.

  • Fujitsu Limited.


  • Juniper Networks, Inc.

  • Nokia company

  • ARM Limited

  • Hewlett Packard Foundation

  • Oracle Corporation

  • succulents

  • Siemens AG

  • Apple company

  • General Electric

  • ABB Ltd.

  • LG Electronics

  • Koninklijke Philips NV

  • Whirlpool Corporation

  • AB Electrolux

  • Wind River Systems Inc.

  • Cumulus GmBH

  • Digital Reasoning Systems Inc.

  • SparkCognition Inc.


  • Rethink robots

  • Robotics Inc. motion controls.

  • Panasonic Corporation

  • Haier Group Company

  • Milli

  • Next IT . Company

  • Nuance Communications Inc.

  • InteliWISE

  • Facebook Inc

  • sales force

  • Amazon Inc.

  • SK Telecom

  • the movement

  • owner

  • AOL . company

  • Tesla Corporation

  • Inbenta Technologies Inc.

  • Cisco Systems

  • With me

  • Virus Systems Inc

  • PointGrab Ltd.

  • Tellmeplus

  • Xiaomi Technology Co. Ltd.

  • Leap Motion Company

  • Atmel company

  • Texas Instruments Inc.

  • Advanced Micro Devices Inc.

  • Xilinx Corporation

  • Skilled Omron Technology

  • Gemalto Nevada

  • micron technology

  • Sass Institute

  • ibrian company

  • QlikTech International AB

  • Microstriatic Incorporated

  • Brighterion Company

  • IPsoft Corporation

  • 24 / Inc.

  • general vision company

  • Sentient Technologies Holdings Limited

  • graphcore

  • CloudMinds

  • Rockwell Automation Inc.

  • Tend

  • SoftBank Robotics Holding Corp.

  • iRobot Corp.

  • Lockheed Martin

  • SpaceX

  • Fright AI

  • Infor Global Solutions


  • Teknowlogi

5.0 Market Analysis and Forecast 2022 – 2027

  • artificial intelligence market

  • Artificial Intelligence Market by Segment

  • Artificial intelligence market by management functions

  • Artificial intelligence market through technology

  • Artificial intelligence market by industry vertical

  • Artificial Intelligence Market by Solution Type

  • Artificial intelligence market by publishing method

  • Artificial intelligence market by artificial intelligence system

  • Artificial intelligence market by type of artificial intelligence

  • Artificial intelligence by connection market

  • Artificial Intelligence Market in Internet of Things Networks

  • Artificial Intelligence Market in Internet of Things Computing

  • Artificial Intelligence Analytics Market

  • The market for artificial intelligence through intent-based networks

  • Artificial intelligence market in virtual infrastructure

  • Artificial intelligence market in 5G networks

  • The Artificial Intelligence Market in Blockchain Networks

  • Artificial Intelligence Market by Region

  • AI Embedded Module Deployment Forecasts 2022 – 2027

6.0 Conclusions and Recommendations

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