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Synopsis
Neural network is a form of artificial intelligence, which involves a series of algorithms used to understand the relationship between datasets and to obtain desired output.This network implements a process, which is designed to incorporate the functionalities of human brain through a variety of deep learning technologies and to solve complex pattern recognition or signal processing problems.
The global Neural Network market was valued at US$ 10960 million in 2023 and is anticipated to reach US$ 31710 million by 2030, witnessing a CAGR of 15.9% during the forecast period 2024-2030.
The growth of the neural network market is driven by growth in demand for cloud-based solutions, demand for spatial data & analytical tools, and increase in market prediction solutions.
This report aims to provide a comprehensive presentation of the global market for Neural Network, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Neural Network.
Report Scope
The Neural Network market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Neural Network market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Neural Network companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
- GMDH
- Artificial Intelligence Techniques
- Oracle
- IBM
- Microsoft
- Intel
- AWS
- NVIDIA
- TFLearn
Segment by Type
- On-Premises
- Cloud Based
Segment by Application
- Large Enterprised
- SMEs
By Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina)
- Middle East & Africa (Turkey, Saudi Arabia, UAE)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Neural Network companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Neural Network Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Neural Network Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprised
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Neural Network Market Perspective (2019-2030)
2.2 Neural Network Growth Trends by Region
2.2.1 Global Neural Network Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Neural Network Historic Market Size by Region (2019-2024)
2.2.3 Neural Network Forecasted Market Size by Region (2025-2030)
2.3 Neural Network Market Dynamics
2.3.1 Neural Network Industry Trends
2.3.2 Neural Network Market Drivers
2.3.3 Neural Network Market Challenges
2.3.4 Neural Network Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Neural Network Players by Revenue
3.1.1 Global Top Neural Network Players by Revenue (2019-2024)
3.1.2 Global Neural Network Revenue Market Share by Players (2019-2024)
3.2 Global Neural Network Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Neural Network Revenue
3.4 Global Neural Network Market Concentration Ratio
3.4.1 Global Neural Network Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Neural Network Revenue in 2023
3.5 Neural Network Key Players Head office and Area Served
3.6 Key Players Neural Network Product Solution and Service
3.7 Date of Enter into Neural Network Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Neural Network Breakdown Data by Type
4.1 Global Neural Network Historic Market Size by Type (2019-2024)
4.2 Global Neural Network Forecasted Market Size by Type (2025-2030)
5 Neural Network Breakdown Data by Application
5.1 Global Neural Network Historic Market Size by Application (2019-2024)
5.2 Global Neural Network Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Neural Network Market Size (2019-2030)
6.2 North America Neural Network Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Neural Network Market Size by Country (2019-2024)
6.4 North America Neural Network Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Neural Network Market Size (2019-2030)
7.2 Europe Neural Network Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Neural Network Market Size by Country (2019-2024)
7.4 Europe Neural Network Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Neural Network Market Size (2019-2030)
8.2 Asia-Pacific Neural Network Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Neural Network Market Size by Region (2019-2024)
8.4 Asia-Pacific Neural Network Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Neural Network Market Size (2019-2030)
9.2 Latin America Neural Network Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Neural Network Market Size by Country (2019-2024)
9.4 Latin America Neural Network Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Neural Network Market Size (2019-2030)
10.2 Middle East & Africa Neural Network Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Neural Network Market Size by Country (2019-2024)
10.4 Middle East & Africa Neural Network Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 GMDH
11.1.1 GMDH Company Detail
11.1.2 GMDH Business Overview
11.1.3 GMDH Neural Network Introduction
11.1.4 GMDH Revenue in Neural Network Business (2019-2024)
11.1.5 GMDH Recent Development
11.2 Artificial Intelligence Techniques
11.2.1 Artificial Intelligence Techniques Company Detail
11.2.2 Artificial Intelligence Techniques Business Overview
11.2.3 Artificial Intelligence Techniques Neural Network Introduction
11.2.4 Artificial Intelligence Techniques Revenue in Neural Network Business (2019-2024)
11.2.5 Artificial Intelligence Techniques Recent Development
11.3 Oracle
11.3.1 Oracle Company Detail
11.3.2 Oracle Business Overview
11.3.3 Oracle Neural Network Introduction
11.3.4 Oracle Revenue in Neural Network Business (2019-2024)
11.3.5 Oracle Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM Neural Network Introduction
11.4.4 IBM Revenue in Neural Network Business (2019-2024)
11.4.5 IBM Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Neural Network Introduction
11.5.4 Microsoft Revenue in Neural Network Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Neural Network Introduction
11.6.4 Intel Revenue in Neural Network Business (2019-2024)
11.6.5 Intel Recent Development
11.7 AWS
11.7.1 AWS Company Detail
11.7.2 AWS Business Overview
11.7.3 AWS Neural Network Introduction
11.7.4 AWS Revenue in Neural Network Business (2019-2024)
11.7.5 AWS Recent Development
11.8 NVIDIA
11.8.1 NVIDIA Company Detail
11.8.2 NVIDIA Business Overview
11.8.3 NVIDIA Neural Network Introduction
11.8.4 NVIDIA Revenue in Neural Network Business (2019-2024)
11.8.5 NVIDIA Recent Development
11.9 TFLearn
11.9.1 TFLearn Company Detail
11.9.2 TFLearn Business Overview
11.9.3 TFLearn Neural Network Introduction
11.9.4 TFLearn Revenue in Neural Network Business (2019-2024)
11.9.5 TFLearn Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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