Summary

Artificial Neural Network Trends and Forecast
The future of the global artificial neural network market looks promising with opportunities in the BFSI, retail and ecommerce, telecommunication & IT, healthcare & life science, manufacturing, government & defense, and transportation & logistic markets. The global artificial neural network market is expected to reach an estimated $1.0 billion by 2030 with a CAGR of 20.2% from 2024 to 2030. The major drivers for this market are rising need to identify intricate nonlinear connections among variables and discern patterns within extensive datasets and growing demand for training substantial datasets with minimal supervision.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Artificial Neural Network by Segment
The study includes a forecast for the global artificial neural network by component, deployment mode, application, end use industry, and region.

Artificial Neural Network Market by Component [Shipment Analysis by Value from 2018 to 2030]:
• Solutions
• Platform/API
• Services

Artificial Neural Network Market by Deployment Mode [Shipment Analysis by Value from 2018 to 2030]:
• On-Premises
• Cloud

Artificial Neural Network Market by Application [Shipment Analysis by Value from 2018 to 2030]:
• Image Recognition
• Signal Recognition
• Data Mining
• Others

Artificial Neural Network Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:
• BFSI
• Retail and ecommerce
• Telecommunication & IT
• Healthcare & Life Sciences
• Manufacturing
• Government & Defense
• Transportation & Logistics
• Others

Artificial Neural Network Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Artificial Neural Network Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies artificial neural network companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial neural network companies profiled in this report include-
• Google
• IBM
• Oracle
• Microsoft
• Intel
• Qualcomm
• Alyuda
• Ward Systems
• GMDH
• Starmind

Artificial Neural Network Market Insights
Lucintel forecasts that data mining will remain the largest segment over the forecast period due to increasing need for active data mining to transform unprocessed data into meaningful insights.
Within this market, BFSI will remain the largest segment due to growing use of artificial neural network in this sector to forecast future occurrences using historical data.
North America will remain the largest region over the forecast period due to quick adoption of AI in a variety of end-use sectors, including retail, healthcare, and BFSI.

Features of the Global Artificial Neural Network Market

Market Size Estimates: Artificial neural network market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Artificial neural network market size by various segments, such as by component, deployment mode, application, end use industry, and region in terms of value ($B).
Regional Analysis: Artificial neural network market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different components, deployment modes, applications, end use industries, and regions for the artificial neural network market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial neural network market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the artificial neural network market size?
Answer: The global artificial neural network market is expected to reach an estimated $1.0 billion by 2030.

Q2. What is the growth forecast for artificial neural network market?
Answer: The global artificial neural network market is expected to grow with a CAGR of 20.2% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the artificial neural network market?
Answer: The major drivers for this market are rising need to identify intricate nonlinear connections among variables and discern patterns within extensive datasets and growing demand for training substantial datasets with minimal supervision.

Q4. What are the major segments for artificial neural network market?
Answer: The future of the artificial neural network market looks promising with opportunities in the BFSI, retail and ecommerce, telecommunication & IT, healthcare & life science, manufacturing, government & defense, and transportation & logistic markets.

Q5. Who are the key artificial neural network market companies?
Answer: Some of the key artificial neural network companies are as follows:
• Google
• IBM
• Oracle
• Microsoft
• Intel
• Qualcomm
• Alyuda
• Ward Systems
• GMDH
• Starmind

Q6. Which artificial neural network market segment will be the largest in future?
Answer: Lucintel forecasts that data mining will remain the largest segment over the forecast period due to increasing need for active data mining to transform unprocessed data into meaningful insights.

Q7. In artificial neural network market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to quick adoption of AI in a variety of end-use sectors, including retail, healthcare, and BFSI.

Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the artificial neural network market by component (solutions, platform/API, and services), deployment mode (on-premises and cloud), application (image recognition, signal recognition, data mining, and others), end use industry (BFSI, retail and ecommerce, telecommunication & IT, healthcare & life sciences, manufacturing, government & defense, transportation & logistics, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

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