Global Neural Network Market Overview 

The Global Neural Network Market size is estimated to reach $376 million by 2026, growing at a CAGR of 21.7% over the forecast period of 2021-2026. Neural Network helps solve problems in Artificial intelligence, machine learning, and deep learning by identifying patterns through computer programs, just the way it happens in the human brain. The widespread use of neural networks in the industry has paved the way for new technological breakthroughs. An efficient neural network solution gives programmers more programming flexibility by constructing and training customized deep neural networks while simultaneously providing an interface to a standard programming language. It aids businesses in reasoning tasks such as problem-solving and machine learning.

Impact of COVID-19 on Neural Network Market:

The COVID-19 pandemic resulted in the need for many sectors to be digitized to cope with surviving during it. This is has resulted in the neural network market showing good progress because of the same. Moreover, the healthcare sector has also seen a lot of neural network implementation because of the pandemic.

Key Takeaways from Global Neural Network Market Report:

• Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level – for Component, Deployment Mode, Organization Size, Application, and by different industry verticals. Understand the various market dynamics – key driving factors, challenges, and hidden opportunities.
• Get in-depth insights on your competitor's performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT, and more.
• Analyze the sales and distribution channels across key geographies to improve top-line revenues.
• Understand the industry supply chain with a deep dive on the value augmentation at each step to optimize value and bring efficiencies in your processes. 
• Get a quick outlook on the market entropy – M&As, deals, partnerships, product launches of all key players for the past four years. 
• Evaluate the supply-demand gaps, import-export statistics, and regulatory landscape for more than the top 20 countries globally for the market

The cloud is expected to expand at the fastest rate in terms of CAGR during the forecast period by deployment methods.

By deployment methods, the cloud segment is supposed to grow at the fastest pace as they have much usefulness and easy maintenance. Also, the cloud is expected to dominate in terms of CAGR in this duration for similar reasons.

The Asia Pacific to account for the largest market share during the forecast period

North America held the largest share of the Neural Network Market in 2020. The rapid expansion in North America may be attributed to the already existing technological capabilities and willingness to try out new ones.

The Asia Pacific is set to be the fastest-growing Neural Network Market. This is owing to the more significant number of data sets available. There is also much interest growing there in terms of investments.

Market Dynamics

Driver: An increase in the implementation of cloud-based solutions is driving the Neural Network Market. 

The increase in popularity of cloud-based solutions has resulted in the need to analyze patterns in artificial intelligence, machine learning, deep learning. This has helped to drive the neural network market.

Challenge: Lack of skilled professionals is restraining the market growth.

The neural network has started booming very fast. However, not many skilled professionals understand the field pretty well as it is new. This is creating a hindrance to the faster growth of the Neural Network market.

Key Market Players

Key Players in the Global Neural Network Market consist of Google, IBM, Oracle, Microsoft, Intel, Qualcomm, Alyuda, Ward Systems, GMDH, LLC, Starmind, NeuralWare, Neurala, among others.

Developments 

In May 2018, Microsoft introduced the new Microsoft Translator custom functionality, allowing customers to customize text and speech translation operations.

Report Coverage and Scope

The report "Global Neural Network Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.

By Component 

• Platforms
• Solutions
• Services

By Deployment Mode

• Cloud
• On-Premises

By Application

• Image recognition
• Signal recognition
• Data Mining

By Vertical

• Banking
• Retail and Ecommerce
• Telecom
• Healthcare and Life Sciences
• Government and Public Sector
• Manufacturing
• Transportation and Logistics
• Education

By Geography

• North America
• Europe
• APAC
• RoW

Global Neural Network Market Growth, Trend and Forecast 2020-2028

Chapter 1 Neural Network Market Overview
1.1 Product Overview and Scope of Neural Network
1.2 Neural Network Market Segmentation by Type
1.2.1 Global Production Market Share of Neural Network by Type in 2019
1.2.1 Type 1
1.2.2 Type 2
1.2.3 Type 3
1.3 Neural Network Market Segmentation by Application
1.3.1 Neural Network Consumption Market Share by Application in 2019
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Neural Network Market Segmentation by Regions
1.4.1 North America
1.4.2 China
1.4.3 Europe
1.4.4 Southeast Asia
1.4.5 Japan
1.4.6 India
1.5 Global Market Size (Value) of Neural Network (2014-2028)

Chapter 2 Global Economic Impact on Neural Network Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions

Chapter 3 Global Neural Network Market Competition by Manufacturers
3.1 Global Neural Network Production and Share by Manufacturers (2019 and 2019)
3.2 Global Neural Network Revenue and Share by Manufacturers (2019 and 2019)
3.3 Global Neural Network Average Price by Manufacturers (2019 and 2019)
3.4 Manufacturers Neural Network Manufacturing Base Distribution, Production Area and Product Type
3.5 Neural Network Market Competitive Situation and Trends
3.5.1 Neural Network Market Concentration Rate
3.5.2 Neural Network Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion

Chapter 4 Global Neural Network Production, Revenue (Value) by Region (2014-2020)
4.1 Global Neural Network Production by Region (2014-2020)
4.2 Global Neural Network Production Market Share by Region (2014-2020)
4.3 Global Neural Network Revenue (Value) and Market Share by Region (2014-2020)
4.4 Global Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.5 North America Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.6 Europe Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.7 China Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.8 Japan Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.9 Southeast Asia Neural Network Production, Revenue, Price and Gross Margin (2014-2020)
4.10 India Neural Network Production, Revenue, Price and Gross Margin (2014-2020)

Chapter 5 Global Neural Network Supply (Production), Consumption, Export, Import by Regions (2014-2020)
5.1 Global Neural Network Consumption by Regions (2014-2020)
5.2 North America Neural Network Production, Consumption, Export, Import by Regions (2014-2020)
5.3 Europe Neural Network Production, Consumption, Export, Import by Regions (2014-2020)
5.4 China Neural Network Production, Consumption, Export, Import by Regions (2014-2020)
5.5 Japan Neural Network Production, Consumption, Export, Import by Regions (2014-2020)
5.6 Southeast Asia Neural Network Production, Consumption, Export, Import by Regions (2014-2020)
5.7 India Neural Network Production, Consumption, Export, Import by Regions (2014-2020)

Chapter 6 Global Neural Network Production, Revenue (Value), Price Trend by Type
6.1 Global Neural Network Production and Market Share by Type (2014-2020)
6.2 Global Neural Network Revenue and Market Share by Type (2014-2020)
6.3 Global Neural Network Price by Type (2014-2020)
6.4 Global Neural Network Production Growth by Type (2014-2020)

Chapter 7 Global Neural Network Market Analysis by Application
7.1 Global Neural Network Consumption and Market Share by Application (2014-2020)
7.2 Global Neural Network Consumption Growth Rate by Application (2014-2020)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries

Chapter 8 Neural Network Manufacturing Cost Analysis
8.1 Neural Network Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Neural Network

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Neural Network Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Neural Network Major Manufacturers in 2019
9.4 Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List

Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change

Chapter 12 Global Neural Network Market Forecast (2020-2028)
12.1 Global Neural Network Production, Revenue Forecast (2020-2028)
12.2 Global Neural Network Production, Consumption Forecast by Regions (2020-2028)
12.3 Global Neural Network Production Forecast by Type (2020-2028)
12.4 Global Neural Network Consumption Forecast by Application (2020-2028)
12.5 Neural Network Price Forecast (2020-2028)

Chapter 13 Appendix