In-Memory Analytics Market Size, Share, Opportunities, And Trends By Component (Software, Services), By Deployment Model (On-premise, Cloud), By Enterprise Size (Small, Medium, Large), By End-User Industry (BFSI, Retail, Government, Communication and Technology, Transportation & Logistics, Others), And By Geography - Forecasts From 2025 To 2030

Description

In-Memory Analytics Market Size:

The In-Memory Analytics Market will soar from USD 5.559 billion in 2025 to USD 14.508 billion in 2030, fueled by a 21.15% CAGR.

In-memory analytics is an analytical platform that helps users to run queries and interact with the data stored in the main memory instead of the hard disk. This has many benefits such as faster query response, high performance, and reduced operational costs. It helps to improve the overall speed of the BI system and provides quick solutions to the clients as compared to the traditional disk-based systems.  This technology allows querying of data while it is in the Random Access Memory (RAM) of a system, thus facilitating vastly shortened response times. As enterprises continue to increase their focus on Business Intelligence (BI) and faster decision-making, the demand for in-memory analytics is witnessing impressive growth, which is fueling the growth of this market.

In addition, the growth of this market is majorly being fueled by the rapid growth of big data analytics across all major geographies worldwide. The continuous digitization of business processes is adding to huge volumes of data generated every day. This is increasing the need among companies to adopt advanced solutions which can support their big data analytics functions, which in turn is increasing the demand for in-memory analytics. 

Moreover, the digital transformation of end-user industries such as BFSI, Communication, and Technology, Transportation & Logistics, retail, etc. has led to the adoption of real-time analytics which will drive the market growth during the forecast period. Furthermore, the increasing number of cyber-attacks has created the need for data privacy and data security, which has encouraged industries to adopt in-memory analytics services to safeguard their data. This will further strengthen the market growth in the next few years. 

In-Memory Analytics Market Segment Analysis:

By deployment model, the cloud segment is expected to hold a dominant market share owing to the preference for cloud over the on-premise segment. By enterprise size, the large enterprises hold a significant market share as the large enterprises have sufficient funds to adopt and implement these systems, also these enterprises have voluminous data for which the in-memory analytics system is required. By end-user industry, the BFSI industry is projected to hold a significant market share owing to the large database concerning confidential information of the industry. The communication and technology industry is expected to grow at a high CAGR owing to the adoption of this technology in the industry. Geographically, North America holds a significant market share owing to the early adoption of technology in the region. Also, the presence of prominent market players such as SAS Institute, SAP SE, and IBM, among others in the region will further boost the market growth. The Asia Pacific will be the fastest-growing market region owing to the voluminous data being generated and the shifting of workload to cloud environment in the region. 

In-Memory Analytics Market Growth Factors:

• Increase in the volume of data

The major key driver of the in-memory analytics market is the generation of voluminous data, worldwide. According to a survey conducted by IDC in the United States in 2018, data volumes in organizations are surging at a speed of 63% per month, with 12% of organizations reporting over 100% growth every month. All the organizations irrespective of their size are struggling to obtain insights from the data, which has created a need for in-memory analytics in the market. Also, organizations, globally are using cloud services to store and manage data which will further strengthen the market growth during the forecast period.

In-Memory Analytics Market Restraints:

• High costs and lack of awareness.

To adopt and implement in-memory analytics enterprises need to spend a large number of funds for the effective implementation and maintenance of these systems. The high costs associated with these systems may hamper the market growth in the long run. Also, many enterprises, especially in developing countries are unaware of the benefits of in-memory analytics and they have not adopted these solutions yet. This may further restrain the market growth.

In-Memory Analytics Market Competitive Insights:

The market leaders for the in-memory analytics market consist of Google, Inc., IBM Corporation, Microsoft Corporation, ESRI, Telstra Corporation Limited, Amazon Web Services, Inc., SAP SE, Oracle Corporation, Hitachi, Ltd., and SAS Institute Inc. The key players in the market implement growth strategies such as product launches, mergers, acquisitions, etc. to gain a competitive advantage over their competitors. For instance, in April 2019, SAP SE enhanced their SAP HANA database in the cloud and on-premise services that provide instant access to critical data and extreme performance to democratize in-memory computing. 

Market Segmentation:

• By Component
  • Hardware
  • Software
  • Services
• By Deployment
  • Cloud
  • On-Premise
• By Enterprise Size
  • Small & Medium
  • Large
• By End-User
  • BFSI
  • Retail
  • IT & Telecommunication
  • Transportation & Logistics
  • Manufacturing
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Indonesia
    • Thailand
    • Taiwan
    • Others

Table Of Contents

1. EXECUTIVE SUMMARY 

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE 

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities 

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations 

3.7. Strategic Recommendations 

4. TECHNOLOGICAL OUTLOOK

5. IN-MEMORY ANALYTICS MARKET BY COMPONENT

5.1. Introduction

5.2. Hardware

5.3. Software

5.4. Services

6. IN-MEMORY ANALYTICS MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-Premise

7. IN-MEMORY ANALYTICS MARKET BY ENTERPRISE SIZE

7.1. Introduction

7.2. Small & Medium

7.3. Large

8. IN-MEMORY ANALYTICS MARKET BY END-USER

8.1. Introduction

8.2. BFSI

8.3. Retail

8.4. IT & Teleccomunication

8.5. Transportation & Logistics

8.6. Manufacturing

8.7. Others

9. IN-MEMORY ANALYTICS MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. USA

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. Germany

9.4.2. France

9.4.3. United Kingdom

9.4.4. Italy

9.4.5. Spain

9.4.6. Others

9.5. Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Israel

9.5.4. Others

9.6. Asia Pacific

9.6.1. China

9.6.2. India

9.6.3. Japan

9.6.4. South Korea

9.6.5. Indonesia

9.6.6. Thailand

9.6.7. Taiwan

9.6.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Google, Inc. (Alphabet Inc.)

11.2. IBM Corporation

11.3. Microsoft Corporation

11.4. ESRI

11.5. Telstra Group Limited

11.6. Amazon Web Services, Inc.

11.7. SAP SE

11.8. Oracle Corporation

11.9. Hitachi, Ltd.

11.10. SAS Institute Inc.

12. APPENDIX

12.1. Currency 

12.2. Assumptions

12.3. Base and Forecast Years Timeline

12.4. Key benefits for the stakeholders

12.5. Research Methodology 

12.6. Abbreviations 

LIST OF FIGURES

LIST OF TABLES

Companies Profiled

Google, Inc. (Alphabet Inc.)

IBM Corporation

Microsoft Corporation

ESRI

Telstra Group Limited

Amazon Web Services, Inc.

SAP SE

Oracle Corporation

Hitachi, Ltd.

SAS Institute Inc.

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