Neural Network - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509241146

Publication Date:

September 24, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

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 market for Neural Network was estimated to be worth US$ 10960 million in 2023 and is forecast to a readjusted size of US$ 31710 million by 2030 with 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Neural Network, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Neural Network by region & country, by Type, and by Application.
The Neural Network market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
麻豆原创 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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Neural Network manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Neural Network in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Neural Network in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Neural Network Product Introduction
1.2 Global Neural Network 麻豆原创 Size Forecast
1.3 Neural Network 麻豆原创 Trends & Drivers
1.3.1 Neural Network Industry Trends
1.3.2 Neural Network 麻豆原创 Drivers & Opportunity
1.3.3 Neural Network 麻豆原创 Challenges
1.3.4 Neural Network 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Neural Network Players Revenue Ranking (2023)
2.2 Global Neural Network Revenue by Company (2019-2024)
2.3 Key Companies Neural Network Manufacturing Base Distribution and Headquarters
2.4 Key Companies Neural Network Product Offered
2.5 Key Companies Time to Begin Mass Production of Neural Network
2.6 Neural Network 麻豆原创 Competitive Analysis
2.6.1 Neural Network 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Neural Network Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Neural Network as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-Premises
3.1.2 Cloud Based
3.2 Global Neural Network Sales Value by Type
3.2.1 Global Neural Network Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Neural Network Sales Value, by Type (2019-2030)
3.2.3 Global Neural Network Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprised
4.1.2 SMEs
4.2 Global Neural Network Sales Value by Application
4.2.1 Global Neural Network Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Neural Network Sales Value, by Application (2019-2030)
4.2.3 Global Neural Network Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Neural Network Sales Value by Region
5.1.1 Global Neural Network Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Neural Network Sales Value by Region (2019-2024)
5.1.3 Global Neural Network Sales Value by Region (2025-2030)
5.1.4 Global Neural Network Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Neural Network Sales Value, 2019-2030
5.2.2 North America Neural Network Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Neural Network Sales Value, 2019-2030
5.3.2 Europe Neural Network Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Neural Network Sales Value, 2019-2030
5.4.2 Asia Pacific Neural Network Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Neural Network Sales Value, 2019-2030
5.5.2 South America Neural Network Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Neural Network Sales Value, 2019-2030
5.6.2 Middle East & Africa Neural Network Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Neural Network Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Neural Network Sales Value
6.3 United States
6.3.1 United States Neural Network Sales Value, 2019-2030
6.3.2 United States Neural Network Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Neural Network Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Neural Network Sales Value, 2019-2030
6.4.2 Europe Neural Network Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Neural Network Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Neural Network Sales Value, 2019-2030
6.5.2 China Neural Network Sales Value by Type (%), 2023 VS 2030
6.5.3 China Neural Network Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Neural Network Sales Value, 2019-2030
6.6.2 Japan Neural Network Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Neural Network Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Neural Network Sales Value, 2019-2030
6.7.2 South Korea Neural Network Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Neural Network Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Neural Network Sales Value, 2019-2030
6.8.2 Southeast Asia Neural Network Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Neural Network Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Neural Network Sales Value, 2019-2030
6.9.2 India Neural Network Sales Value by Type (%), 2023 VS 2030
6.9.3 India Neural Network Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 GMDH
7.1.1 GMDH Profile
7.1.2 GMDH Main Business
7.1.3 GMDH Neural Network Products, Services and Solutions
7.1.4 GMDH Neural Network Revenue (US$ Million) & (2019-2024)
7.1.5 GMDH Recent Developments
7.2 Artificial Intelligence Techniques
7.2.1 Artificial Intelligence Techniques Profile
7.2.2 Artificial Intelligence Techniques Main Business
7.2.3 Artificial Intelligence Techniques Neural Network Products, Services and Solutions
7.2.4 Artificial Intelligence Techniques Neural Network Revenue (US$ Million) & (2019-2024)
7.2.5 Artificial Intelligence Techniques Recent Developments
7.3 Oracle
7.3.1 Oracle Profile
7.3.2 Oracle Main Business
7.3.3 Oracle Neural Network Products, Services and Solutions
7.3.4 Oracle Neural Network Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Neural Network Products, Services and Solutions
7.4.4 IBM Neural Network Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 Microsoft
7.5.1 Microsoft Profile
7.5.2 Microsoft Main Business
7.5.3 Microsoft Neural Network Products, Services and Solutions
7.5.4 Microsoft Neural Network Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Recent Developments
7.6 Intel
7.6.1 Intel Profile
7.6.2 Intel Main Business
7.6.3 Intel Neural Network Products, Services and Solutions
7.6.4 Intel Neural Network Revenue (US$ Million) & (2019-2024)
7.6.5 Intel Recent Developments
7.7 AWS
7.7.1 AWS Profile
7.7.2 AWS Main Business
7.7.3 AWS Neural Network Products, Services and Solutions
7.7.4 AWS Neural Network Revenue (US$ Million) & (2019-2024)
7.7.5 AWS Recent Developments
7.8 NVIDIA
7.8.1 NVIDIA Profile
7.8.2 NVIDIA Main Business
7.8.3 NVIDIA Neural Network Products, Services and Solutions
7.8.4 NVIDIA Neural Network Revenue (US$ Million) & (2019-2024)
7.8.5 NVIDIA Recent Developments
7.9 TFLearn
7.9.1 TFLearn Profile
7.9.2 TFLearn Main Business
7.9.3 TFLearn Neural Network Products, Services and Solutions
7.9.4 TFLearn Neural Network Revenue (US$ Million) & (2019-2024)
7.9.5 TFLearn Recent Developments
8 Industry Chain Analysis
8.1 Neural Network Industrial Chain
8.2 Neural Network Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Neural Network Sales Model
8.5.2 Sales Channel
8.5.3 Neural Network Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

GMDH
Artificial Intelligence Techniques
Oracle
IBM
Microsoft
Intel
AWS
NVIDIA
TFLearn

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