About General Purpose Machine Intelligence
General Purpose Machine Intelligence is the ability of an AI software programme to accomplish certain jobs in the same way that a human does. In technical words, this means that we must create an AI software programme that can be trained to perform a variety of activities. General Purpose Machine Intelligence is machine intelligence that allows it to comprehend, learn, and do intellectual activities in the same way as humans do. General Purpose Machine Intelligence allows machines to simulate the human mind and behaviour in order to tackle any type of complex problem. General Purpose Machine Intelligence is machine intelligence that allows it to comprehend, learn, and do intellectual activities in the same way as humans do. Machines can mimic the human mind and behaviour to tackle any complicated problem. Because these machines are supposed to have comprehensive knowledge and cognitive computing capabilities, their performance is indistinguishable from that of humans.
Attributes | Details |
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Study Period | 2017-2027 |
Base Year | 2021 |
Unit | Value (USD Million) |
The Global market of General Purpose Machine Intelligence is included more number of player which are provide high number of services so the global market are less competition. In worldwide market of General Purpose Machine Intelligence the presented companies follow the new launch or innovation of product for increasing their revenue and growth. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global General Purpose Machine Intelligence market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.
Qualcomm (United States), OpenAI (San Francisco), Nvidia (United States), Microsoft (United States), Intel (United States), MindBridge (Pakistan), One Concern (United States), Octane AI (San Francisco), Elemeno AI (San Francisco), HiSilicon (China), Google (United States) and Banjo (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Evolv Technology (United States), PickNik Robotics (United States) and Hyperscience (United States).
Segmentation Overview
AMA Research has segmented the market of Global General Purpose Machine Intelligence market by Type (Reactive, Limited Memory, Theory of Mind and Self-Aware), Application (Healthcare, Automotive, Agriculture, Defense and Others) and Region.
On the basis of geography, the market of General Purpose Machine Intelligence has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Components, the sub-segment i.e. Learning will boost the General Purpose Machine Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End Users, the sub-segment i.e. Commercial will boost the General Purpose Machine Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the General Purpose Machine Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Influencing Trend:
Natural Language Processing (NLP) Is an AI Technology, Integration of Machine Intelligence with Analytics and Rise in Low-Code or No-Code AI
Market Growth Drivers:
Escalating Application in Defence Sector and Healthcare, Expanding Petition of AI Applications, Mounting Mandate for Improving Cybersecurity and Upward AI Implementation in Enterprise
Challenges:
Concern with Bias Problem, High Cost Required For Development, Strict Legal Issues and Risk in Data Security and Storage
Restraints:
Absence of AGI Direction, Deficiency of Business Alignment and Lack of Working Protocol
Opportunities:
Mounting Claim of General Purpose Machine Intelligence in Health Sector, General Purpose Machine Intelligence Boost the Business and Intensifying Asset for Expansion of General Purpose Machine Intelligence
Market Leaders and their expansionary development strategies
On 17 Feb 2022 Agilent Acquires Artificial Intelligence Technology to Enhance Lab Productivity. Agilent got the software and other assets related with ACIES as part of the transaction. As part of the acquisition, key members of the ACIES team joined Agilent. The acquisition of this advanced technology is again another illustration of Agilent's dedication on offering insights and innovation that our clients can use to provide industry-leading solutions. Agilent's newest investment in digital technologies to boost lab productivity is the acquisition. It draws on the company's previous investments and innovations to expand the analytical lab and alter its capabilities through new technology, improved instrument and data integration, and more efficient lab workflow.
On 3 May 2022 Elemeno AI Launches First Phase of Machine Learning Platform to Help Companies Reap the Benefits of AI. Elemeno AI, a cloud-based machine learning firm, has announced the debut of its machine learning operations (ML-Ops) platform, which will assist businesses in leveraging the benefits of artificial intelligence (AI). It provides an intuitive user experience (UX) for data scientists creating machine learning (ML) models – from zero to one. Companies must link their data sources, such as AWS Redshift or Google BigQuery, in order to use the platform. The following step is to set up feature ingestion pipelines. Companies can alter feature transformations and personalise their feature tables here. The platform handles storage automatically, ensuring that only the most current features are available at inference time, while the underlying feature data is kept in cold storage for use in training or debugging a model in production.
Amends the Artificial Intelligence Video Interview Act to require employers who rely solely on artificial intelligence to determine whether an applicant will qualify for an in-person interview to collect and report certain demographic information to the Department of Commerce and Economic Opportunity, and to require the Department to analyse the data and report to the Governor and General Assembly whether the data reveals a racial bias in the use of artificial intelligence.
Key Target Audience
General Purpose Machine Intelligence Providers, Investor, New Entrance, Government bodies, Corporate Entities and Others
About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.
Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.
The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.