PUBLISHER: 360iResearch | PRODUCT CODE: 1379329

PUBLISHER: 360iResearch | PRODUCT CODE: 1379329

In-Memory Database Market by Data Type (NewSQL, NOSQL, Relational), Processing Type (Online Analytical Processing (OLAP), Online Transaction Processing (OLTP)), Application, Deployment Model, Organization Size, Vertical - Global Forecast 2023-2030

PUBLISHED: October 16, 2023

PAGES: 199 Pages

DELIVERY TIME: 1-2 business days

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The In-Memory Database Market is projected to reach USD 14.39 billion by 2030 from USD 6.44 billion in 2022, at a CAGR of 10.56% during the forecast period.

Global In-Memory Database Market

KEY MARKET STATISTICS
Base Year Value [2022]	USD 6.44 billion
Estimated Year Value [2023]	USD 7.07 billion
Forecast Year Value [2030]	USD 14.39 billion
CAGR (%)	10.56%

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the In-Memory Database Market.

Based on Data Type, market is studied across NewSQL, NOSQL, and Relational. The Relational is projected to witness significant market share during forecast period.

Based on Processing Type, market is studied across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP). The Online Transaction Processing (OLTP) is projected to witness significant market share during forecast period.

Based on Application, market is studied across Analytics, Reporting, and Transaction. The Transaction is projected to witness significant market share during forecast period.

Based on Deployment Model, market is studied across On-Demand and On-Premise. The On-Demand is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises. The Large Enterprises is projected to witness significant market share during forecast period.

Based on Vertical, market is studied across Academia & Research, BFSI, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT & Telecommunication, Manufacturing, Media & Entertainment, Retail & Consumer Goods, and Transportation. The Retail & Consumer Goods is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Europe, Middle East & Africa is projected to witness significant market share during forecast period.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the In-Memory Database Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape In-Memory Database Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the In-Memory Database Market, highlighting leading vendors and their innovative profiles. These include Aerospike, Inc., Altibase Corporation, Amazon Web Services, Inc., Cloud Software Group, Inc., Enea AB, Exasol Group, GridGain Systems, Inc., Hazelcast, International Business Machine Corporation, McObject GmbH, Microsoft Corporation, MongoDB, Inc., Oracle Corporation, Raima, Inc., Redis Ltd., Salesforce, Inc., SAP SE, SingleStore, Inc., Teradata Corporation, VMware, Inc., and Volt Active Data, Inc..

The report offers valuable insights on the following aspects:

1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.

2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.

3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.

4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.

5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast for the In-Memory Database Market?

2. Which products, segments, applications, and areas hold the highest investment potential in the In-Memory Database Market?

3. What is the competitive strategic window for identifying opportunities in the In-Memory Database Market?

4. What are the latest technology trends and regulatory frameworks in the In-Memory Database Market?

5. What is the market share of the leading vendors in the In-Memory Database Market?

6. Which modes and strategic moves are suitable for entering the In-Memory Database Market?

Product Code: MRR-F6513A06BDDB

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. In-Memory Database Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Need for faster data retrievals and processing times
  - 5.1.1.2. Increasing digitalization across industries and businesses worldwide
  - 5.1.1.3. Surge in adoption of cloud-based services
- 5.1.2. Restraints
  - 5.1.2.1. High cost of implementation of in-memory databases
- 5.1.3. Opportunities
  - 5.1.3.1. Technological advancements in in-memory database
  - 5.1.3.2. Significant growth of big data and IoT
- 5.1.4. Challenges
  - 5.1.4.1. Data breach and privacy concerns
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. In-Memory Database Market, by Data Type

6.1. Introduction
6.2. NewSQL
6.3. NOSQL
6.4. Relational

7. In-Memory Database Market, by Processing Type

7.1. Introduction
7.2. Online Analytical Processing (OLAP)
7.3. Online Transaction Processing (OLTP)

8. In-Memory Database Market, by Application

8.1. Introduction
8.2. Analytics
8.3. Reporting
8.4. Transaction

9. In-Memory Database Market, by Deployment Model

9.1. Introduction
9.2. On-Demand
9.3. On-Premise

10. In-Memory Database Market, by Organization Size

10.1. Introduction
10.2. Large Enterprises
10.3. Small & Medium Enterprises

11. In-Memory Database Market, by Vertical

11.1. Introduction
11.2. Academia & Research
11.3. BFSI
11.4. Energy & Utilities
11.5. Government & Defense
11.6. Healthcare & Life Sciences
11.7. IT & Telecommunication
11.8. Manufacturing
11.9. Media & Entertainment
11.10. Retail & Consumer Goods
11.11. Transportation

12. Americas In-Memory Database Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific In-Memory Database Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa In-Memory Database Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player

16. Competitive Portfolio

16.1. Key Company Profiles
- 16.1.1. Aerospike, Inc.
- 16.1.2. Altibase Corporation
- 16.1.3. Amazon Web Services, Inc.
- 16.1.4. Cloud Software Group, Inc.
- 16.1.5. Enea AB
- 16.1.6. Exasol Group
- 16.1.7. GridGain Systems, Inc.
- 16.1.8. Hazelcast
- 16.1.9. International Business Machine Corporation
- 16.1.10. McObject GmbH
- 16.1.11. Microsoft Corporation
- 16.1.12. MongoDB, Inc.
- 16.1.13. Oracle Corporation
- 16.1.14. Raima, Inc.
- 16.1.15. Redis Ltd.
- 16.1.16. Salesforce, Inc.
- 16.1.17. SAP SE
- 16.1.18. SingleStore, Inc.
- 16.1.19. Teradata Corporation
- 16.1.20. VMware, Inc.
- 16.1.21. Volt Active Data, Inc.
16.2. Key Product Portfolio

17. Appendix

17.1. Discussion Guide
17.2. License & Pricing