| Product Code: ETC4398685 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
The augmented analytics market in India has witnessed significant growth in recent years. Augmented analytics leverages advanced technologies like machine learning and artificial intelligence to enhance data analysis and decision-making processes. This market has gained traction across various industries, including finance, healthcare, and e-commerce. Organizations in India are increasingly adopting augmented analytics tools to gain insights from their data, automate data preparation, and generate predictive and prescriptive insights. With a growing emphasis on data-driven decision-making, the India augmented analytics market is poised for continued expansion.
The India augmented analytics market is witnessing substantial growth due to the increasing need for businesses to extract valuable insights from their data without relying solely on data scientists and analysts. Augmented analytics combines machine learning and artificial intelligence to assist users in exploring data, generating insights, and making data-driven decisions. This technology is particularly valuable in a country like India, where data is abundant but expertise in data analysis is limited. The need for quick and accurate decision-making is paramount in various industries, including retail, healthcare, and finance. Augmented analytics democratizes data analysis, enabling more employees to harness the power of data. With the increasing emphasis on data-driven strategies and the burgeoning startup ecosystem, the India augmented analytics market is set to expand further.
The augmented analytics market in India faces challenges, starting with the need for high-quality and reliable data for effective analysis. Inconsistent data sources and data quality issues can impact the accuracy of augmented analytics insights. Data privacy and security concerns are paramount, especially when dealing with sensitive business data. Regulatory compliance, particularly with data protection laws, adds complexity to data handling. Integration of augmented analytics tools with existing business intelligence and analytics systems can be complex and costly. Moreover, the shortage of skilled data scientists and analysts can be a limiting factor for organizations looking to leverage augmented analytics.
Augmented analytics solutions became increasingly important in India during the pandemic. These tools assist businesses in automating data analysis, generating insights, and supporting data-driven decision-making. With remote work and digital transformation, augmented analytics played a vital role in helping organizations adapt to the changing business environment.
In the India Augmented Analytics market, prominent players are leveraging AI and data analytics to provide businesses with advanced insights. Companies like Manthan Systems, Crayon Data, Fusionex, and WNS Global Services are developing augmented analytics solutions that enhance decision-making processes and data exploration. These innovators are helping organizations in India harness the power of augmented analytics to gain a competitive edge and drive growth across various industries.
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 Augmented Analytics Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India Augmented Analytics Market Revenues & Volume, 2021 & 2031F |
3.3 India Augmented Analytics Market - Industry Life Cycle |
3.4 India Augmented Analytics Market - Porter's Five Forces |
3.5 India Augmented Analytics Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 India Augmented Analytics Market Revenues & Volume Share, By Services, 2021 & 2031F |
3.7 India Augmented Analytics Market Revenues & Volume Share, By Organization Size , 2021 & 2031F |
3.8 India Augmented Analytics Market Revenues & Volume Share, By Deployment Type, 2021 & 2031F |
3.9 India Augmented Analytics Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 India Augmented Analytics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of advanced analytics solutions by Indian businesses to gain competitive advantage. |
4.2.2 Growing awareness about the benefits of augmented analytics in improving decision-making processes. |
4.2.3 Rising demand for real-time data analysis and insights among Indian enterprises. |
4.3 Market Restraints |
4.3.1 Limited availability of skilled professionals proficient in augmented analytics technologies. |
4.3.2 Concerns regarding data privacy and security hindering the adoption of augmented analytics solutions in India. |
4.3.3 High initial investment required for implementing augmented analytics tools and technologies. |
5 India Augmented Analytics Market Trends |
6 India Augmented Analytics Market, By Types |
6.1 India Augmented Analytics Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 India Augmented Analytics Market Revenues & Volume, By Component, 2021-2031F |
6.1.3 India Augmented Analytics Market Revenues & Volume, By Software, 2021-2031F |
6.1.4 India Augmented Analytics Market Revenues & Volume, By Services, 2021-2031F |
6.2 India Augmented Analytics Market, By Services |
6.2.1 Overview and Analysis |
6.2.2 India Augmented Analytics Market Revenues & Volume, By Training and Consulting, 2021-2031F |
6.2.3 India Augmented Analytics Market Revenues & Volume, By Deployment and Integration, 2021-2031F |
6.2.4 India Augmented Analytics Market Revenues & Volume, By Support and Maintenance, 2021-2031F |
6.3 India Augmented Analytics Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 India Augmented Analytics Market Revenues & Volume, By SMEs, 2021-2031F |
6.3.3 India Augmented Analytics Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.4 India Augmented Analytics Market, By Deployment Type |
6.4.1 Overview and Analysis |
6.4.2 India Augmented Analytics Market Revenues & Volume, By On-Premises, 2021-2031F |
6.4.3 India Augmented Analytics Market Revenues & Volume, By Cloud, 2021-2031F |
6.5 India Augmented Analytics Market, By Vertical |
6.5.1 Overview and Analysis |
6.5.2 India Augmented Analytics Market Revenues & Volume, By Banking, Financial Services, and Insurance (BFSI), 2021-2031F |
6.5.3 India Augmented Analytics Market Revenues & Volume, By Telecom and IT, 2021-2031F |
6.5.4 India Augmented Analytics Market Revenues & Volume, By Retail and Consumer Goods, 2021-2031F |
6.5.5 India Augmented Analytics Market Revenues & Volume, By Healthcare and Life sciences, 2021-2031F |
6.5.6 India Augmented Analytics Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.5.7 India Augmented Analytics Market Revenues & Volume, By Governments and Defense, 2021-2031F |
6.5.8 India Augmented Analytics Market Revenues & Volume, By Transportation and Logistics, 2021-2031F |
6.5.9 India Augmented Analytics Market Revenues & Volume, By Transportation and Logistics, 2021-2031F |
7 India Augmented Analytics Market Import-Export Trade Statistics |
7.1 India Augmented Analytics Market Export to Major Countries |
7.2 India Augmented Analytics Market Imports from Major Countries |
8 India Augmented Analytics Market Key Performance Indicators |
8.1 Adoption rate of augmented analytics tools among Indian businesses. |
8.2 Rate of improvement in decision-making processes after implementing augmented analytics solutions. |
8.3 Growth in the number of companies offering augmented analytics services in the Indian market. |
9 India Augmented Analytics Market - Opportunity Assessment |
9.1 India Augmented Analytics Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 India Augmented Analytics Market Opportunity Assessment, By Services, 2021 & 2031F |
9.3 India Augmented Analytics Market Opportunity Assessment, By Organization Size , 2021 & 2031F |
9.4 India Augmented Analytics Market Opportunity Assessment, By Deployment Type, 2021 & 2031F |
9.5 India Augmented Analytics Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 India Augmented Analytics Market - Competitive Landscape |
10.1 India Augmented Analytics Market Revenue Share, By Companies, 2024 |
10.2 India Augmented Analytics 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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