The article cited AMA's Global In-Memory Analytics Market Study explored substantial growth with CAGR of 20.3%. According the report, Technological Advancements in Computing Power is one of the primary growth factors for the market. Digital Transformation using Real-Time Data Analytics is also expected to contribute significantly to the In-Memory Analytics market. Overall, Risk Management and Fraud Detection applications of In-Memory Analytics, and the growing awareness of them, is what makes this segment of the industry important to its overall growth.

AMA’s Analyst on the Global In-Memory Analytics market identified that the demand is rising in many different parts of the world as "Reduction of Main Memory Hardware Costs and Higher Adoption by SMBs ". Furthermore, some recent industry insights like "In October 2023, GoodData unveiled FlexQuery Analytics Lake, a new data platform that incorporates generative AI and combines a host of usually separate capabilities in a single location to simplify and speed AI, BI and machine learning development and analysis." is constantly making the industry dynamic. One of the challenges that industry facing is "Management and Maintenance of Data Quality and Lack of End User and Developer Skills to Deploy BI Applications"

The Organization Size, such as Small and Medium Businesses, is boosting the In-Memory Analytics market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Component , such as Software, is boosting the In-Memory Analytics market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Industry Vertical, such as BFSI, is boosting the In-Memory Analytics market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global In-Memory Analytics market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the In-Memory Analytics market and other related sub-markets covered in the study.

o Key & emerging players in the In-Memory Analytics market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall In-Memory Analytics market size is calculated using market estimation process, the In-Memory Analytics market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global In-Memory Analytics market size has been validated using both top-down and bottom-up approaches.