In-Memory Analytics Market Share, Size 2020: Industry Growth, Price, Revenue, Application, Leading Players Update, Region, Pricing Analysis, Opportunities and Forecast 2023

Global "In-Memory Analytics" Market report (2020- 2023) objectives is to provide in-depth information about In-Memory Analytics industry with market outlook, key trends, business plans, future prospect of industry. It comprehends market new product analysis, financial overview, strategies and marketing trends. In-Memory Analytics market report also offers an overview of revenue, sales, product demand, and supply of data, cost, and growth analysis during the forecast year. It also studies the current market status with future trends that can affect the market growth rate and covers the major growth prospect over the forthcoming years.

Get a sample copy of the report at- https://www.marketreportsworld.com/enquiry/request-sample/12347031

Top Manufacturers Listed in the In-Memory Analytics Market Report are:
o SAP SE
o Activeviam
o Amazon Web Services
o Inc.
o IBM Corporation
o Information Builders
o Inc.
o Kognitio Ltd
o Microstrategy Incorporated
o Oracle Corporation
o SAS Institute
o Inc.
o Software AG

The In-Memory Analytics market was valued at USD 1.04 billion in 2019 and is expected to grow at a CAGR of 25.1% during the forecast period (2018 - 2023), to reach USD 3.97 billion by 2023. The ability to process large amounts of data compared to conventional analytic solutions has made it a highly sought after tool in this digital environment. These solutions are used various industries such as BFSI, retail, IT and telecom, and various others. The scope of our study is geographically limited to North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
In-memory analytics methodology helps in solving complex and time-sensitive business scenarios. It has not only emerged as a faster and affordable solution, but is also facilitates organizations in the integration of information and presents a holistic view of the situation at hand, powered by real-time data that strengthens the decision-making process. The digital transformation of end-users leading to adoption of real-time analytics. Also, the growth of data generation is demanding enhanced analytics tools to get swift results, this is further augmented by the advancements in computational technology which is getting faster as time passes. However, the lack of awareness about these products or the higher penetration of conventional analytics tools can act as a restraint for the market.
Cloud Deployment Is the Fastest Growing Model
Cloud platforms are allowing complex business models and orchestrating more globally-based integration networks. The advent of cloud analytics has helped the enterprises in analyzing large data sets using big data to make better, data-driven decisions. Apart from providing the same capabilities as an on-premises installation, cloud platforms are very flexible for continuously changing business needs. As there is a web of networks for communication and internet services, it allows organizations to consolidate data from all source, across all communication channels, and do it on a big data scale.
Asia-Pacific Is the Fastest Growing In-Memory Analytics Market
The In-memory analytics market in the region is driven by the growing digitization of end-users coupled with the rising adoption of cost effective cloud-based analytical software by the SMBs, especially in China and India. In India, the interest in the cloud is being driven by the increasing need for business innovation and agility, the ability to scale fast in a competitive market, and the government's thrust towards Digital India initiative. ThoughtSpot announced the expansion of its engineering operations in India. The company invested USD 10 million in R&D in India to accelerate cloud development, specifically for in-memory cloud development. Apart from this, the Indian government is using big data for various purposes such as to get an estimate of trade in the country, urbanization analysis, and unreserved railway passengers analysis. To maintain its edge and sustain its growth, China's economy may also shift to a higher value and more advanced industries, with big data as one of the instrument to facilitate this shift.
Key Developments in In-Memory Analytics Market
o September 2019 - Lenovo announced an in-memory analytics solution designed for use with SAP's S/4HANA technology. It is known as Lenovo Scalable Solution for SAP HANA. The offering is designed to help S/4HANA users accelerate application performance and expand memory scalability beyond current thresholds to support workloads.
o September 2019 - IBM announced Integrated Analytics System, which is designed to give users quick, easy access to data science capabilities, and coupled with the ability to work with their data across private, public or hybrid cloud environments.

Enquire before Purchasing this report at- https://www.marketreportsworld.com/enquiry/pre-order-enquiry/12347031

Regional Segmentation Includes:
- United States
- Europe
- China
- Japan
- South Korea
- Other Regions
Reasons to Purchase the In-Memory Analytics Market Report:
- The report analyses how the shift towards safety will drive the global automotive anti-lock braking system market size and Share.
- Analyzing various perspectives of the market with the help of Porter's five forces analysis.
- Study on the product type that is expected to dominate the market.
- Study on the regions that are expected to witness fastest In-Memory Analytics Market growth during the forecast period.
- Identify the latest developments, In-Memory Analytics market shares and strategies employed by the major market players.

Buy this report (Price 4250 USD for single user license) at- https://www.marketreportsworld.com/purchase/12347031

Major Points from Table of Contents:
1. Introduction
1.1 Key Study Deliverables
1.2 Key Study Assumptions
1.3 Market Definition
2. In-Memory Analytics Market Research Methodology
3. Executive Summary
4. In-Memory Analytics Market Dynamics
4.1 In-Memory Analytics Market Overview
4.2 In-Memory Analytics Market Drivers
4.2.1 Digital transformation of end-users leading to adoption of real-time analytics
4.2.2 Growing data volume demanding swift analytical methods
4.2.3 Advancements in computational technology
4.3 In-Memory Analytics Market Restraints
4.3.1 Lack of Awareness in end-users
4.4 Porter's Five Forces Model - Industry Attractiveness
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Consumers
4.4.3 Threat of New Entrants
4.4.4 Threat of Substitutes
4.4.5 Intensity of Competitive Rivalry
5. Global In Memory Analytics Market Segmentation
5.1 In-Memory Analytics Market By Deployment
5.1.1 On-Premise
5.1.2 Cloud
5.2 In-Memory Analytics Market End-User
5.2.1 BFSI
5.2.2 Retail
5.2.3 IT and Telecommunications
5.2.4 Manufacturing
5.2.5 Government and Public Sector
5.2.6 Others
5.3 In-Memory Analytics Market By Region
5.3.1 North America
5.3.2 Europe
5.3.3 Asia Pacific
5.3.4 Latin America
5.3.5 Middle-East and Africa
6. Competitive Intelligence - Company Profiles
6.1 SAP SE
6.2 Activeviam
6.3 Amazon Web Services, Inc.
6.4 IBM Corporation
6.5 Information Builders, Inc.
6.6 Kognitio Ltd
6.7 Microstrategy Incorporated
6.8 Oracle Corporation
6.9 SAS Institute, Inc.
6.10 Software AG
*List is not exhaustive
7. Investment Analysis
8. Future Outlook of In Memory Analytics Market

3rd Floor, Silver Spring, Sahyadri farms,
Opp Prabhavee Tech Park,
Baner - Mhalunge Road, Baner, Pune 411045

Market is changing rapidly with the ongoing expansion of the industry. Advancement in the technology has provided today's businesses with multifaceted advantages resulting in daily economic shifts. Thus, it is very important for a company to comprehend the patterns of the market movements in order to strategize better. An efficient strategy offers the companies with a head start in planning and an edge over the competitors. Market Reports World is the credible source for gaining the market reports that will provide you with the lead your business needs.

This release was published on openPR.