Global Artificial Intelligence Market Report 2021-2026: Greatest AI Market ROI is Realized through Integration with other Technologies for Improved Solutions – PRNewswire

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  • May 21, 2021
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DUBLIN, May 21, 2021 /PRNewswire/ — The “AI Market by Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, and Devices) and Industry Verticals 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.
This report evaluates the AI technology and solutions market, including analysis of leading AI vendors, strategies, solutions and applications. The report assesses the state of AI development, implementation, and operation. The report analyzes the forecasts AI market sizing for by technology type, deployment method, solution type, network and technology integration, and by industry verticals from 2021 through 2026.
Artificial Intelligence (AI) represents a wide variety of technologies including Machine Learning, Deep Learning, Natural Language Processing, and more. We see AI increasingly embedded within many systems and applications including everything from data management to retail shopping.
The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer term, the publisher sees many solutions involving multiple AI types 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 within the cybersecurity domain. For example, AI may be used in IoT to bolster security, safeguard assets, and reduce fraud. There are varying opinions about security in IoT.
For example, some companies favor a distributed (decentralized) approach whereas other companies believe a more centralized approach leveraging strictly centralized cloud architecture makes more sense. We see little possibility in which signature-based security solutions will work with IoT in an edge computing environment for a variety of reasons including the limitation on throughput of communications between distributed endpoints and centralized cloud.
AI has various advantages including the fact that it is a more lightweight application (because it does not require all the data that comes with tracking digital signatures/code for known viruses), more effective in identifying malware, easier and less costly to maintain as there is no need to constantly identify new malware code. This is all because AI-based security is looking for malicious behaviors rather than known malicious code.
Longer term, AI will move beyond fraud prevention and prevention of malicious acts as AI will be used to feed advanced analytics and decision making. This will be especially true in IoT solutions involving real-time data as AI will be used to make determinations for autonomous actions.
Consumer-facing apps and services supported by AI are many and varied including chatbots and Virtual Personal Assistants (VPA) in support of customer care and lifestyle enhancement. The automobile industry is another example in which AI is becoming increasingly useful, both in the near term for solutions such as the inclusion of VPAs, and longer-term use cases such as AI support of self-driving vehicles. Another consumer market area in which AI will be integrated is wearable technology. As wearables become more mainstream 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 big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service. One area important to enterprise will be Intelligent Decision Support Systems (IDSS), which are a form of Expert System which utilize AI to optimize decision making. IDSS will be used in many fields including agriculture, medicine, urban development, and other areas. IDSS will also be used in policy making and strategy at the highest levels of enterprise as well as governmental organizations.
Select Report Findings:

Total global AI solution market will reach $227.5B by 2026, growing at 28.6% CAGR
Global unsupervised machine learning market will reach $13.9 by 2026, growing at 21.8% CAGR
Combination of AI and IoT (AIoT) will drive up to 23% of new AI systems integration, primarily involving IIoT
AI solutions in a public cloud environment shall be almost three times those of private cloud deployments through 2026
Key AI technology systems integration opportunities include Expert Systems, Decision Support Systems, Fuzzy Systems, and Multi-Agent Systems

Key Topics Covered:
1.0 Executive Summary1.1 Overview1.2 Research Objectives1.3 Select Findings
2.0 Introduction2.1 Defining Artificial Intelligence2.2 Artificial Intelligence Types2.3 Artificial Intelligence Systems2.4 AI Outcomes and Enterprise Benefits2.5 Cognitive Computing and Swarm Intelligence2.6 AI Market SWOT Analysis2.7 AI Technology Goals2.8 AI Tools and Approaches2.9 AI Market Predictions2.10 AI Market Landscape2.11 AI Patent and Regulatory Framework2.12 Value Chain Analysis2.13 Competitive Landscape Analysis
3.0 Technology and Application Analysis3.1 AI Technology Matrix3.2 AI Technology Readiness3.3 AI Technology and Solution Integration3.4 AI Application Delivery Platforms and Business Models3.5 Enterprise Adoption and AI Investment3.6 AI Applications in Industry Verticals
4.0 AI Ecosystem Analysis4.1 NVidia Corporation4.2 IBM Corporation4.3 Intel Corporation4.4 Samsung Electronics Co Ltd.4.5 Microsoft Corporation4.6 Google Inc.4.7 Baidu Inc.4.8 Qualcomm Incorporated4.9 Huawei Technologies Co. Ltd.4.10 Fujitsu Ltd.4.11 H2O.ai4.12 Juniper Networks, Inc.4.13 Nokia Corporation4.14 ARM Limited4.15 Hewlett Packard Enterprise4.16 Oracle Corporation4.17 SAP4.18 Siemens AG4.19 Apple Inc.4.20 General Electric4.21 ABB Ltd.4.22 LG Electronics4.23 Koninklijke Philips N.V4.24 Whirlpool Corporation4.25 AB Electrolux4.26 Wind River Systems Inc.4.27 Cumulocity GmBH4.28 Digital Reasoning Systems Inc.4.29 SparkCognition Inc.4.30 KUKA AG4.31 Rethink Robotics4.32 Motion Controls Robotics Inc.4.33 Panasonic Corporation4.34 Haier Group Corporation4.35 Miele4.36 Next IT Corporation4.37 Nuance Communications Inc.4.38 InteliWISE4.39 Facebook Inc.4.40 Salesforce4.41 Amazon Inc.4.42 SK Telecom4.43 motion.ai4.44 Buddy4.45 AOL Inc.4.46 Tesla Inc.4.47 Inbenta Technologies Inc.4.48 Cisco Systems4.49 MAANA4.50 Veros Systems Inc.4.51 PointGrab Ltd.4.52 Tellmeplus4.53 Xiaomi Technology Co. Ltd.4.54 Leap Motion Inc.4.55 Atmel Corporation4.56 Texas Instruments Inc.4.57 Advanced Micro Devices Inc.4.58 XILINX Inc.4.59 Omron Adept Technology4.60 Gemalto N.V.4.61 Micron Technology4.62 SAS Institute Inc.4.63 AIBrian Inc.4.64 QlikTech International AB4.65 MicroStrategy Incorporated4.66 Brighterion Inc.4.67 IPsoft Inc.4.68 24/7.ai Inc.4.69 General Vision Inc.4.70 Sentient Technologies Holdings Limited4.71 Graphcore4.72 CloudMinds4.73 Rockwell Automation Inc.4.74 Tend.ai4.75 SoftBank Robotics Holding Corp.4.76 iRobot Corp.4.77 Lockheed Martin4.78 Spacex4.79 Fraight AI4.80 Infor Global Solutions4.81 Presenso4.82 Teknowlogi
5.0 Market Analysis and Forecasts 2021 – 20265.1 AI Market5.2 AI Market by Segment5.3 AI Market by Management Functions5.4 AI Market by Technology5.5 AI Market by Industry Vertical5.6 AI Market by Solution Type5.7 AI Market by Deployment Method5.8 AI Market by AI System5.9 AI Market by AI Type5.10 AI Market by Connectivity5.11 AI Market in IoT Networks5.12 AI Market in IoT Edge Computing5.13 AI Analytics Market5.14 AI Market by Intent-Based Networking5.15 AI Market in Virtualized Infrastructure5.16 AI Market in 5G Networks5.17 AI Market in Blockchain Networks5.18 AI Market by Region5.19 AI Embedded Unit Deployment Forecast 2021 – 2026
6.0 Conclusions and Recommendations
For more information about this report visit https://www.researchandmarkets.com/r/txmehr
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