Global AI(Artificial Intelligence) Decision Making Market 2023 by Company, Regions, Type and Application, Forecast to 2029
According to our (Global Info Research) latest study, the global AI(Artificial Intelligence) Decision Making market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period.
AI decision making is when data processing – like analyzing trends and suggesting courses of action – is done either in part or completely by an AI platform instead of a human to quantify data in order to make more accurate predictions and decisions.
The Global Info Research report includes an overview of the development of the AI(Artificial Intelligence) Decision Making industry chain, the market status of Medical (Platform-Centric Decision-Making Artificial Intelligence, Non-Platform-Centric Decision-Making Artificial Intelligence), Manufacturing (Platform-Centric Decision-Making Artificial Intelligence, Non-Platform-Centric Decision-Making Artificial Intelligence), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI(Artificial Intelligence) Decision Making.
Regionally, the report analyzes the AI(Artificial Intelligence) Decision Making markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI(Artificial Intelligence) Decision Making market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI(Artificial Intelligence) Decision Making market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI(Artificial Intelligence) Decision Making industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Platform-Centric Decision-Making Artificial Intelligence, Non-Platform-Centric Decision-Making Artificial Intelligence).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI(Artificial Intelligence) Decision Making market.
Regional Analysis: The report involves examining the AI(Artificial Intelligence) Decision Making market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI(Artificial Intelligence) Decision Making market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI(Artificial Intelligence) Decision Making:
Company Analysis: Report covers individual AI(Artificial Intelligence) Decision Making players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI(Artificial Intelligence) Decision Making This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Medical, Manufacturing).
Technology Analysis: Report covers specific technologies relevant to AI(Artificial Intelligence) Decision Making. It assesses the current state, advancements, and potential future developments in AI(Artificial Intelligence) Decision Making areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI(Artificial Intelligence) Decision Making market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI(Artificial Intelligence) Decision Making market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Platform-Centric Decision-Making Artificial Intelligence
Non-Platform-Centric Decision-Making Artificial Intelligence
Market segment by Application
Medical
Manufacturing
Financial Investment
Marketing
Others
Market segment by players, this report covers
SAS Institute
FICO
IBM
InData Labs
Peak AI
Actico
First Bridge
4Paradigm
SenseTime
Samoyed Financial
Tongdun Technology Co., Ltd.
Youhualin
Shanshu Technology
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI(Artificial Intelligence) Decision Making product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI(Artificial Intelligence) Decision Making, with revenue, gross margin and global market share of AI(Artificial Intelligence) Decision Making from 2018 to 2023.
Chapter 3, the AI(Artificial Intelligence) Decision Making competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI(Artificial Intelligence) Decision Making market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of AI(Artificial Intelligence) Decision Making.
Chapter 13, to describe AI(Artificial Intelligence) Decision Making research findings and conclusion.