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Last Updated: Apr 26, 2025 | Study Period: 2024-2030
The term Artificial General Intelligence (AGI) describes the speculative capacity of an artificial intelligence system to comprehend or pick up any intellectual skill that a person can. It is frequently compared to narrow or specialized AI, which is created to carry out a single task, such as playing chess or understanding speech.
A machine or software system that can analyze information and make choices similarly to humans is sometimes referred to as an AGI. This would require the capacity to use logic, problem-solve, and think creatively, in addition to the capacity to draw lessons from past mistakes and adapt to novel circumstances.
Many people view the creation of AGI as an important scientific and technical objective since it has the potential to significantly enhance industries like robotics, medicine, and space exploration. Achieving AGI, however, is a difficult endeavor that calls both cutting-edge technological prowess as well as a thorough grasp of human cognition.
The Artificial General Intelligence (AGI) accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The research firm Numenta does not have a named AGI product; instead, it is focused on creating artificial intelligence technology that is inspired by the human brain. But they have created a piece of software called NuPIC (Numenta Platform for Intelligent Computing), which is intended to mimic the operations of the neocortex, the area of the brain in charge of perception, cognition, and awareness.
NuPIC is designed to serve as a basis for creating intelligent systems, including ones that might eventually develop into AGI.
A platform for artificial general intelligence (AGI) named "Einstein" has been created by Baidu Research, the research division of the Chinese technology corporation Baidu. The platform attempts to imitate human-like intelligence, with the capacity to learn from data, make judgments, and address issues in a range of fields.
Einstein's creation represents a significant advance in the area of artificial intelligence's long-standing quest for AGI. Robotics, healthcare, finance, and other industries are among the predicted application areas for the platform. By developing Einstein, Baidu Research intends to improve AGI and open up new doors for innovation and development.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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