Dublin, May 21, 2021 (GLOBE NEWSWIRE) -- The "Artificial General Intelligence Market: General Purpose Artificial Intelligence, AI Agent Platforms, and Software 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.
This report evaluates the artificial general intelligence market including leading companies, services potential, technology integration, and application ecosystem. The report also analyzes the AI agent market and the relationship between general purpose AI with other technologies including edge computing, 5G networks, and blockchain.
The report provides forecasts from 2021 through 2026 for the artificial general intelligence market by application and industry verticals, globally and regionally. The report also estimates the AI agent-driven market for software and platform globally and regionally along with AI embedded deployment forecasts for IoT devices, semiconductors, and software.
Select Report Findings:
The productivity gain potential for business use of AI represents approximately $1.8T in economic value by 2027, which will be nine times more with the use of general-purpose AI solutions market as compared to today's silo AI approach. Productivity gains will be achieved by transactions conducted by AI autonomous agents or "bots". It is estimated that more than 8% of the global economic activity in 2027 will be done autonomously by some kind of AI solution whereas this amounts to less than one percent today. This represents a dramatic rise in the use of AI for enterprise, industrial, and government automation.
Currently, less than 20% of enterprise and industrial organizations are deploying AI-embedded smart machines. This will grow to nearly 70% of growth companies by 2027. More than 75% of business analytics software will use AI capabilities by 2027, but much of it will continue to require human intervention of some type. The primary productivity gains for general-purpose AI will be those systems and processes that may act autonomously with minimal errors and virtually no threat to human health and welfare.
The evolution of public policy governing AI remains an impediment to general-purpose AI and will remain the case through 2027. The critical area of concern will continue to be security and privacy, but other areas include innovation policy, revenue recognition and taxation. Second, only concerns for general privacy/security concerns are the need for laws and policies governing civil and criminal liability. For example, when an AI-enabled machine causes damage (physical and/or cyber), there needs to be a basis of determining fault and liability for all parties including user, operator, owner, manufacturers, etc.
Also known as Artificial General Intelligence (AGI), General Purpose Artificial Intelligence represents silicon-based Artificial Intelligence (AI) that mimics human-like cognition to perform a wide variety of tasks that span beyond mere number crunching. Whereas most current AI solutions are limited in terms of the type and variety of problems that may be solved, AGI may be employed to solve many different problems including machine translation, natural language processing, logical reasoning, knowledge representation, social intelligence, and numerous others.
Unlike many early AI solutions that were designed and implemented with a narrow focus, AGI will be leveraged to solve problems in many different domains and across many different industry verticals including 3D design, transforming customer service, securing enterprise data, securing public facility and personnel, financial trading, healthcare solution, highly personalized target marketing, detecting fraud, recommendation engines, autonomous vehicles and smart mobility, online search, and many other areas. AGI is rapidly evolving in many areas. However, scalability and other issues remain as challenges, which will likely not be fully resolved until the 2025 to 2030 timeframe.
Key Topics Covered:
1.0 Executive Summary
3.0 Technology and Application Analysis3.1 Cognitive Computing and Swarm Intelligence3.2 Machine Learning and Intelligence3.2.1 Deep Learning3.2.2 Supervised and Unsupervised Learning3.2.3 Reinforcement Learning3.3 Human-Level AGI Tools3.4 Simulation Human Brain3.5 Human Factor Considerations3.6 Machine Intelligence for Business Innovation3.6.1 Applying Machine Learning3.7 Enterprise Benefits3.7.1 Virtual Assistant3.7.2 Hardware Optimization3.7.3 Enterprise Decision Support System3.7.4 Biometric Solution3.7.5 Factory Automation3.7.6 Predictive Analytics and Pattern Recognition3.7.7 Productivity Gain3.8 AI Patent and Regulatory Framework3.9 Conversational Interface: Human + AI3.10 Edge Computing and 5G Network3.11 Smart Machine and Virtual Twinning3.12 Building Automation and Smart Workplace3.13 Artificial Intelligence and Machine Learning as a Service3.14 Enterprise Adoption and External Investment3.15 General Purpose Applications3.15.1 Predictive 3D Design3.15.2 Transforming Customer Service3.15.3 Data Security3.15.4 Personal Security3.15.5 Financial Trading3.15.6 Healthcare3.15.7 Marketing Personalization3.15.8 Fraud Detection3.15.9 Recommendations3.15.10 Smart Cars3.15.11 Online Search3.16 General Purpose Machine Intelligence Ecosystem Analysis3.16.1 Technology Stack3.16.2 Application Stack
4.0 General Purpose Intelligence Case Studies4.1 Artificial General Intelligence in Healthcare Case Study4.1.1 AI in "Emergency Room and Surgery" is saving lives4.1.2 AI in "Hospital Information System (HIS)" can enrich the delivery of healthcare services4.1.3 Healthcare "Data Mining" with AI4.2 Artificial General Intelligence in Security Case Study4.2.1 AI in digital security4.2.2 AI in Surveillance4.3 AI in financial services4.3.1 Credit scoring4.3.2 Financial technology lending4.3.3 AI for cost reduction in financial services4.4 AI in Transportation services4.5 AI in Agriculture
5.0 General Purpose AI Market Analysis and Forecasts5.1 General AI Market Forecasts 2021 - 20265.2 General Purpose AI Agent Market Forecasts 2021 - 20265.3 AI Embedded IoT Device Deployment Forecasts 2021 - 20265.4 AI Embedded IoT Things Deployment 2021 - 20265.5 AI Embedded IoT Semiconductor Unit Shipment 2021 - 20265.6 AI Embedded IoT Software Unit Deployment Forecasts 2021 - 2026
6.0 Company Analysis6.1 IBM Corporation6.1.1 Company Profile6.1.2 Recent Development6.2 Intel Corporation6.2.1 Company Profile6.2.2 Recent Development6.3 Microsoft Corporation6.3.1 Company Profile6.3.2 Recent Development6.4 Google Inc.6.4.1 Company Profile6.4.2 Recent Development6.5 Baidu Inc.6.5.1 Company Profile6.5.2 Recent Development6.6 H2O.ai6.6.1 Company Profile6.6.2 Recent Development6.7 Hewlett Packard Enterprise (HPE)6.7.1 Company Profile6.7.2 Recent Development6.8 Apple Inc.6.8.1 Company Profile6.8.2 Recent Development6.9 General Electric (GE)6.9.1 Company Profile6.9.2 Recent Development6.10 LG Electronics6.10.1 Company Profile6.11 Digital Reasoning Systems Inc.6.11.1 Company Profile6.11.2 Recent Development6.12 SparkCognition Inc.6.12.1 Company Profile6.12.2 Recent Development6.13 Nuance Communications Inc.6.13.1 Company Profile6.13.2 Recent Development6.14 InteliWISE6.14.1 Company Profile6.14.2 Recent Development6.15 Facebook Inc.6.15.1 Company Profile6.16 Salesforce6.16.1 Company Profile6.16.2 Recent Development6.17 Amazon Inc.6.17.1 Company Profile6.18 SK Telecom6.18.1 Company Profile6.19 motion.ai6.19.1 Company Profile6.20 PointGrab Ltd.6.20.1 Company Profile6.20.2 Recent Development6.21 Tellmeplus6.21.1 Company Profile6.22 SAS Institute Inc.6.22.1 Company Profile6.22.2 Recent Development6.23 AIBrain Inc.6.23.1 Company Profile6.23.2 Recent Development6.24 Brighterion (MasterCard)6.24.1 Company Profile6.24.2 Recent Development6.25 General Vision Inc.6.25.1 Company Profile6.25.2 Recent Development6.26 Sentient Technologies Holdings Limited6.26.1 Company Profile6.26.2 Recent Development6.27 CloudMinds6.27.1 Company Profile6.27.2 Recent Development6.28 Tend.ai6.28.1 Company Profile6.28.2 Recent Development6.29 TensorFlow6.29.1 Company Profile6.29.2 Recent Development6.30 Infosys Nia6.30.1 Company Profile6.30.2 Recent Development6.31 Wipro HOLMES6.31.1 Company Profile6.31.2 Recent Development6.32 Premonition6.32.1 Company Profile6.32.2 Recent Development6.33 Rainbird6.33.1 Company Profile6.33.2 Recent Development6.34 Ayasdi6.34.1 Company Profile6.34.2 Recent Development6.35 MindMeld6.35.1 Company Profile6.36 Vital AI6.36.1 Company Profile6.37 KAI6.37.1 Company Profile6.37.2 Recent Development6.38 Receptiviti6.38.1 Company Profile6.38.2 Recent Development6.39 Meya6.39.1 Company Profile6.39.2 Recent Development6.40 DigitalGenius6.40.1 Company Profile6.41 GoodAI6.41.1 Company Profile6.41.2 Recent Development6.42 Vicarious6.42.1 Company Profile6.43 Agent.ai6.43.1 Company Profile6.44 X.ai6.44.1 Company Profile6.44.2 Recent Development6.45 Zebra Medical Vision Inc.6.45.1 Company Profile6.45.2 Recent Development6.46 Fair Isaac Corporation6.46.1 Company Profile6.46.2 Recent Development6.47 Bigml Inc.6.47.1 Company Profile6.47.2 Recent Development6.48 AT&T Speech API6.48.1 Company Profile6.48.2 Recent Development6.49 Wit.ai6.49.1 Company Profile6.50 Diffbot6.50.1 Company Profile6.50.2 Recent Development6.51 PredictionIO6.51.1 Company Profile
7.0 Conclusions and Recommendations
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