The global Artificial Neural Networks market size was valued at USD 174.2 million in 2023 and is forecast to a readjusted size of USD 523.1 million by 2030 with a CAGR of 17.0% during review period.
Artificial Neural Network abstracts the human neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods.
The report includes an overview of the development of the Artificial Neural Networks industry chain, the market status of Telecommunication (Feed Forward Artificial Neural Network, Feedback Artificial Neural Network), Pharmaceutical (Feed Forward Artificial Neural Network, Feedback Artificial Neural Network), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial Neural Networks.
Regionally, the report analyzes the Artificial Neural Networks 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 Artificial Neural Networks market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Artificial Neural Networks 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 Artificial Neural Networks industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Feed Forward Artificial Neural Network, Feedback Artificial Neural Network).
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 Artificial Neural Networks market.
Regional Analysis: The report involves examining the Artificial Neural Networks 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.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Artificial Neural Networks market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Artificial Neural Networks:
Company Analysis: Report covers individual Artificial Neural Networks 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 Artificial Neural Networks This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Telecommunication, Pharmaceutical).
Technology Analysis: Report covers specific technologies relevant to Artificial Neural Networks. It assesses the current state, advancements, and potential future developments in Artificial Neural Networks areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Artificial Neural Networks market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Artificial Neural Networks market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
Feed Forward Artificial Neural Network
Feedback Artificial Neural Network
Others
麻豆原创 segment by Application
Telecommunication
Pharmaceutical
Transportation
Education and Research
Other
麻豆原创 segment by players, this report covers
IBM Corporation
Google Inc.
Intel Corporation
Microsoft Corporation
Oracle Corporation
Neural Technologies Limited
Starmind International AG
Ward Systems Group, Inc
SAP SE
NeuroDimension, Inc
Alyuda Research, LLC
Neuralware
Qualcomm Technologies, Inc
GMDH, LLC
Clarifai
麻豆原创 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 Artificial Neural Networks product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Neural Networks, with revenue, gross margin and global market share of Artificial Neural Networks from 2019 to 2024.
Chapter 3, the Artificial Neural Networks 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 2019 to 2030.
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 2019 to 2024.and Artificial Neural Networks market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Neural Networks.
Chapter 13, to describe Artificial Neural Networks research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of Artificial Neural Networks
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Artificial Neural Networks by Type
1.3.1 Overview: Global Artificial Neural Networks 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Artificial Neural Networks Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Feed Forward Artificial Neural Network
1.3.4 Feedback Artificial Neural Network
1.3.5 Others
1.4 Global Artificial Neural Networks 麻豆原创 by Application
1.4.1 Overview: Global Artificial Neural Networks 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Telecommunication
1.4.3 Pharmaceutical
1.4.4 Transportation
1.4.5 Education and Research
1.4.6 Other
1.5 Global Artificial Neural Networks 麻豆原创 Size & Forecast
1.6 Global Artificial Neural Networks 麻豆原创 Size and Forecast by Region
1.6.1 Global Artificial Neural Networks 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Artificial Neural Networks 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Artificial Neural Networks 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Artificial Neural Networks 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Artificial Neural Networks 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Artificial Neural Networks 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Artificial Neural Networks 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 IBM Corporation
2.1.1 IBM Corporation Details
2.1.2 IBM Corporation Major Business
2.1.3 IBM Corporation Artificial Neural Networks Product and Solutions
2.1.4 IBM Corporation Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 IBM Corporation Recent Developments and Future Plans
2.2 Google Inc.
2.2.1 Google Inc. Details
2.2.2 Google Inc. Major Business
2.2.3 Google Inc. Artificial Neural Networks Product and Solutions
2.2.4 Google Inc. Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Google Inc. Recent Developments and Future Plans
2.3 Intel Corporation
2.3.1 Intel Corporation Details
2.3.2 Intel Corporation Major Business
2.3.3 Intel Corporation Artificial Neural Networks Product and Solutions
2.3.4 Intel Corporation Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Intel Corporation Recent Developments and Future Plans
2.4 Microsoft Corporation
2.4.1 Microsoft Corporation Details
2.4.2 Microsoft Corporation Major Business
2.4.3 Microsoft Corporation Artificial Neural Networks Product and Solutions
2.4.4 Microsoft Corporation Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Microsoft Corporation Recent Developments and Future Plans
2.5 Oracle Corporation
2.5.1 Oracle Corporation Details
2.5.2 Oracle Corporation Major Business
2.5.3 Oracle Corporation Artificial Neural Networks Product and Solutions
2.5.4 Oracle Corporation Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Oracle Corporation Recent Developments and Future Plans
2.6 Neural Technologies Limited
2.6.1 Neural Technologies Limited Details
2.6.2 Neural Technologies Limited Major Business
2.6.3 Neural Technologies Limited Artificial Neural Networks Product and Solutions
2.6.4 Neural Technologies Limited Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Neural Technologies Limited Recent Developments and Future Plans
2.7 Starmind International AG
2.7.1 Starmind International AG Details
2.7.2 Starmind International AG Major Business
2.7.3 Starmind International AG Artificial Neural Networks Product and Solutions
2.7.4 Starmind International AG Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Starmind International AG Recent Developments and Future Plans
2.8 Ward Systems Group, Inc
2.8.1 Ward Systems Group, Inc Details
2.8.2 Ward Systems Group, Inc Major Business
2.8.3 Ward Systems Group, Inc Artificial Neural Networks Product and Solutions
2.8.4 Ward Systems Group, Inc Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Ward Systems Group, Inc Recent Developments and Future Plans
2.9 SAP SE
2.9.1 SAP SE Details
2.9.2 SAP SE Major Business
2.9.3 SAP SE Artificial Neural Networks Product and Solutions
2.9.4 SAP SE Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 SAP SE Recent Developments and Future Plans
2.10 NeuroDimension, Inc
2.10.1 NeuroDimension, Inc Details
2.10.2 NeuroDimension, Inc Major Business
2.10.3 NeuroDimension, Inc Artificial Neural Networks Product and Solutions
2.10.4 NeuroDimension, Inc Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 NeuroDimension, Inc Recent Developments and Future Plans
2.11 Alyuda Research, LLC
2.11.1 Alyuda Research, LLC Details
2.11.2 Alyuda Research, LLC Major Business
2.11.3 Alyuda Research, LLC Artificial Neural Networks Product and Solutions
2.11.4 Alyuda Research, LLC Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Alyuda Research, LLC Recent Developments and Future Plans
2.12 Neuralware
2.12.1 Neuralware Details
2.12.2 Neuralware Major Business
2.12.3 Neuralware Artificial Neural Networks Product and Solutions
2.12.4 Neuralware Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 Neuralware Recent Developments and Future Plans
2.13 Qualcomm Technologies, Inc
2.13.1 Qualcomm Technologies, Inc Details
2.13.2 Qualcomm Technologies, Inc Major Business
2.13.3 Qualcomm Technologies, Inc Artificial Neural Networks Product and Solutions
2.13.4 Qualcomm Technologies, Inc Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.13.5 Qualcomm Technologies, Inc Recent Developments and Future Plans
2.14 GMDH, LLC
2.14.1 GMDH, LLC Details
2.14.2 GMDH, LLC Major Business
2.14.3 GMDH, LLC Artificial Neural Networks Product and Solutions
2.14.4 GMDH, LLC Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.14.5 GMDH, LLC Recent Developments and Future Plans
2.15 Clarifai
2.15.1 Clarifai Details
2.15.2 Clarifai Major Business
2.15.3 Clarifai Artificial Neural Networks Product and Solutions
2.15.4 Clarifai Artificial Neural Networks Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.15.5 Clarifai Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Artificial Neural Networks Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Artificial Neural Networks by Company Revenue
3.2.2 Top 3 Artificial Neural Networks Players 麻豆原创 Share in 2023
3.2.3 Top 6 Artificial Neural Networks Players 麻豆原创 Share in 2023
3.3 Artificial Neural Networks 麻豆原创: Overall Company Footprint Analysis
3.3.1 Artificial Neural Networks 麻豆原创: Region Footprint
3.3.2 Artificial Neural Networks 麻豆原创: Company Product Type Footprint
3.3.3 Artificial Neural Networks 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Artificial Neural Networks Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Artificial Neural Networks 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Artificial Neural Networks Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Artificial Neural Networks 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Artificial Neural Networks Consumption Value by Type (2019-2030)
6.2 North America Artificial Neural Networks Consumption Value by Application (2019-2030)
6.3 North America Artificial Neural Networks 麻豆原创 Size by Country
6.3.1 North America Artificial Neural Networks Consumption Value by Country (2019-2030)
6.3.2 United States Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Artificial Neural Networks Consumption Value by Type (2019-2030)
7.2 Europe Artificial Neural Networks Consumption Value by Application (2019-2030)
7.3 Europe Artificial Neural Networks 麻豆原创 Size by Country
7.3.1 Europe Artificial Neural Networks Consumption Value by Country (2019-2030)
7.3.2 Germany Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Artificial Neural Networks Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Artificial Neural Networks Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Artificial Neural Networks 麻豆原创 Size by Region
8.3.1 Asia-Pacific Artificial Neural Networks Consumption Value by Region (2019-2030)
8.3.2 China Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Artificial Neural Networks Consumption Value by Type (2019-2030)
9.2 South America Artificial Neural Networks Consumption Value by Application (2019-2030)
9.3 South America Artificial Neural Networks 麻豆原创 Size by Country
9.3.1 South America Artificial Neural Networks Consumption Value by Country (2019-2030)
9.3.2 Brazil Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Artificial Neural Networks Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Artificial Neural Networks Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Artificial Neural Networks 麻豆原创 Size by Country
10.3.1 Middle East & Africa Artificial Neural Networks Consumption Value by Country (2019-2030)
10.3.2 Turkey Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Artificial Neural Networks 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Artificial Neural Networks 麻豆原创 Drivers
11.2 Artificial Neural Networks 麻豆原创 Restraints
11.3 Artificial Neural Networks Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Artificial Neural Networks Industry Chain
12.2 Artificial Neural Networks Upstream Analysis
12.3 Artificial Neural Networks Midstream Analysis
12.4 Artificial Neural Networks Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
IBM Corporation
Google Inc.
Intel Corporation
Microsoft Corporation
Oracle Corporation
Neural Technologies Limited
Starmind International AG
Ward Systems Group, Inc
SAP SE
NeuroDimension, Inc
Alyuda Research, LLC
Neuralware
Qualcomm Technologies, Inc
GMDH, LLC
Clarifai
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*If Applicable.