DUBLIN--(BUSINESS WIRE)--The "Big Data Market in India 2022" report has been added to ResearchAndMarkets.com's offering.
Big data analytics is the process of analyzing large amounts of raw data to uncover information and patterns that will assist businesses in making informed decisions. It is a type of analytics that employs processes such as predictive modeling, to examine large amounts of unstructured data and provide businesses with solutions that keep them ahead of the competition. Organizations rely heavily on big data to boost profits, improve analytics skills, and support risk management capabilities.
Market insights:
The global big data market was valued at INR 17,111.93 Bn in 2021. It is expected to reach INR 34,943.77 Bn by 2027, expanding at a CAGR of ~12.81% during the 2022 - 2027 period. The big data market in India was valued at INR 132.63 Bn in 2021. It is expected to reach INR 558.24 Bn by 2027, expanding at a CAGR of ~26.80% during the 2022 - 2027 period. At present, India is one of the top 10 countries in the market, with over 600 data analytics firms. This number is expected to increase in the future. Big data has become prevalent in several industries, including telecommunications, financial services, e-commerce, and healthcare, because of the increased demand for cloud-based solutions and predictive analytics capabilities.
Market influencers:
The demand for cloud-based collaboration tools, content management solutions, and online streaming platforms has increased. Organizations in India have started already adopted cloud computing.
At present, they rely completely on public cloud IaaS to accelerate the development and deployment of business applications. Adoption of advanced analytics and artificial intelligence (AI) in India has rapidly expanded, with organizations investing heavily to improve their analytics capabilities. There is a surge in demand for a workforce skilled in analytics that could assist businesses to expand their operations.
Key deterrents to the growth of the market:
Analysts derive incorrect results when the data contains flaws, errors, or is incomplete. When system requirements are omitted or are not fully met due to human error during the development, testing, or verification processes, data flow is incorrect. It is imperative in these circumstances to undertake complete overhauling of the systems and replace them with new ones
Key Topics Covered:
Chapter 1: Executive summary
Chapter 2: Socio-economic indicators
Chapter 3: Introduction
Chapter 4: Market overview
Chapter 5: COVID-19 Impact Analysis
Chapter 6: Government initiatives
Chapter 7: Market influencers
Chapter 8: Market trends
Chapter 9: Competitive landscape
9.1. Capgemini Technology Services India Limited
- Company information
- Business description
- Products/Services
- Key people
- Financial snapshot
- Key ratios
- Key financial performance indicators
- Key business segments
- Key geographic segments
- Note: Financial information covered only for public companies.
9.2. Latent View Analytics Limited
9.3. Tata Consultancy Services Limited
9.4. Tech Mahindra Limited
9.5. Accenture Solutions Private Limited
9.6. Genpact India Private Limited
9.7. Gramener Technology Solutions Private Limited
9.8. Hyperlink Infosystem Private Limited
9.9. SPEC INDIA
9.10. Datafactz Solutions Private Limited
Chapter 10: Recent developments
10.1. Recent developments
Chapter 11: Appendix
11.1. Research methodology
11.2. About the Publisher
11.3. Disclaimer
Companies Mentioned
- Capgemini Technology Services India Limited
- Latent View Analytics Limited
- Tata Consultancy Services Limited
- Tech Mahindra Limited
- Accenture Solutions Private Limited
- Genpact India Private Limited
- Gramener Technology Solutions Private Limited
- Hyperlink Infosystem Private Limited
- SPEC INDIA
- Datafactz Solutions Private Limited
For more information about this report visit https://www.researchandmarkets.com/r/dihyui
