| Product Code: ETC7548780 | Publication Date: Sep 2024 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Dhaval Chaurasia | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
The India neural network market import shipment demonstrated robust growth from 2020 to 2024, with a significant CAGR of 35.2%. The growth rate between 2023 and 2024 slowed slightly to 24.0%, indicating a stable expansion trajectory overall.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 India Neural Network Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India Neural Network Market Revenues & Volume, 2021 & 2031F |
3.3 India Neural Network Market - Industry Life Cycle |
3.4 India Neural Network Market - Porter's Five Forces |
3.5 India Neural Network Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 India Neural Network Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
4 India Neural Network Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence and machine learning technologies in various industries in India |
4.2.2 Growing demand for automation and efficiency in business processes |
4.2.3 Government initiatives to promote digital transformation and innovation in the country |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in the field of neural networks and artificial intelligence |
4.3.2 High initial investment required for implementing neural network solutions |
4.3.3 Data privacy and security concerns hindering the widespread adoption of neural networks |
5 India Neural Network Market Trends |
6 India Neural Network Market, By Types |
6.1 India Neural Network Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 India Neural Network Market Revenues & Volume, By Component, 2021- 2031F |
6.1.3 India Neural Network Market Revenues & Volume, By Software, 2021- 2031F |
6.1.4 India Neural Network Market Revenues & Volume, By Services, 2021- 2031F |
6.2 India Neural Network Market, By Industry Vertical |
6.2.1 Overview and Analysis |
6.2.2 India Neural Network Market Revenues & Volume, By BFSI, 2021- 2031F |
6.2.3 India Neural Network Market Revenues & Volume, By IT & Telecom, 2021- 2031F |
6.2.4 India Neural Network Market Revenues & Volume, By Aerospace & Defense, 2021- 2031F |
6.2.5 India Neural Network Market Revenues & Volume, By Public Sector, 2021- 2031F |
6.2.6 India Neural Network Market Revenues & Volume, By Retail, 2021- 2031F |
6.2.7 India Neural Network Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.2.8 India Neural Network Market Revenues & Volume, By Others, 2021- 2031F |
6.2.9 India Neural Network Market Revenues & Volume, By Others, 2021- 2031F |
7 India Neural Network Market Import-Export Trade Statistics |
7.1 India Neural Network Market Export to Major Countries |
7.2 India Neural Network Market Imports from Major Countries |
8 India Neural Network Market Key Performance Indicators |
8.1 Number of research and development partnerships between companies and academic institutions in the field of neural networks |
8.2 Percentage increase in the number of job postings requiring skills in neural networks and artificial intelligence |
8.3 Growth in the number of neural network startups and incubators in India |
9 India Neural Network Market - Opportunity Assessment |
9.1 India Neural Network Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 India Neural Network Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
10 India Neural Network Market - Competitive Landscape |
10.1 India Neural Network Market Revenue Share, By Companies, 2024 |
10.2 India Neural Network Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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