AI in Data Integration Market to be dominated by Large Enterprise segment till 2026
Ongoing technological
advancements and the growing IT sector is expected to drive the global AI in
data integration market for the forecast period.
According to TechSci Research report, “AI
in Data Integration Market - Global Industry Size, Share, Trends,
Opportunity and Forecast, 2016-2026 Segmented
By Service Type (Managed Storage as a Service, Managed Compute as a Service,
Managed Disaster Recovery as a Service, Managed Colocation, Managed Network as
a Service, Managed Hosting & Others), By Service Deployment (On Premise
& Cloud), By Organization Size (Large Enterprise & Small & Medium
Enterprises), By End Use Vertical (BFSI, IT & Telecom, Retail, Government
& Defense, Manufacturing & Others) and By Region”, the global AI in
data integration market is expected to grow at a rate of steady CAGR for the
forecast period, 2022-2026. Businesses tend to generate a large amount of data
from non-traditional data sources such as social media posts, streaming data,
machines, and traditional data sources such as file system data, ERP, CRM, and
RDMS. This continuous data generation requires efficient data integration
techniques to develop insights. A huge number of resources and time is spent in
the data preparation, creating the need for an efficient method that can
process and analyze the data in less time. Artificial intelligence (AI) in data
integration is considered an efficient strategy to implement automation in the
data preparation task and make the use of efficient data analysis of big data.
The conventional data integration was not able to handle a large amount of data
as well as unstructured data to generate meaningful data insights. Artificial
intelligence in data integration can easily analyze the data of all formats for
the generation of more accurate data models and data pipelines without the need
for interference of humans. AI can automate the data transformation mapping
creation in the ETL process, and the hidden trends can be easily identified
from the large data sets, and the use of statistical modeling helps in the
generation of accurate data insights.
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Global
AI in data integration market is segmented into application, business function,
deployment mode, organization size, end-use, regional distribution, and
company. Based on the application, the market is divided into data mapping, big
data processing, ETL, and schema alignment. The data mapping segment is
expected to account for major market share for the forecast period, 2022-2026.
Artificial intelligence can automate the data transformation mapping process
using the pre-built data integration template and system metadata catalog. The
use of AI in data integration helps the business to save more time and helps
business users with limited knowledge to use the DI tool through using the
simple drag and drop options. Business users can easily trend the identification
using domain knowledge which helps the businesses to grow. Based on the
deployment mode, the market is bifurcated into on-premise and cloud. The cloud
segment is expected to witness the fastest incremental growth for the next five
years. Cloud solutions offer scalable, affordable, with improved data access
from any of the remote locations. It has a large data storage capacity and fast
speed, which helps business organizations to grow significantly.
Microsoft
Corporation, Amazon Web Services, Inc., Google, LLC, IBM Corporation, Adeptia
Inc., Informatica LLC, Oracle Corporation, Talend Inc., SAP SE, Snaplogic, Inc are
the leading players operating in global AI in data integration market. Service
providers are increasingly focusing on research and development process to fuel
higher growth in the market.
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“Market
players are making high-end investments in technological innovations and are
actively using machine learning technology and artificial intelligence to solve
complex data integration problems. Elimination of the need for experts and the
reduction in the total integration total cost of ownership and helps the
business to become more profitable. The growing competition in the market and
the need to predict the market trend along with the huge expenditure by the
market players and growing IT sector is expected to propel the global AI in
data integration market till 2026” said Mr. Karan Chechi,
Research Director with TechSci Research, a research based global management
consulting firm.
“AI in Data Integration
Market - Global Industry Size, Share, Trends, Opportunity and Forecast,
2016-2026 Segmented By Service Type (Managed Storage as a Service, Managed
Compute as a Service, Managed Disaster Recovery as a Service, Managed
Colocation, Managed Network as a Service, Managed Hosting & Others), By
Service Deployment (On Premise & Cloud), By Organization Size (Large
Enterprise & Small & Medium Enterprises), By End Use Vertical (BFSI, IT
& Telecom, Retail, Government & Defense, Manufacturing & Others)
and By Region” has evaluated the future growth potential of global AI
in data integration market and provided statistics & information on market
size, shares, structure and future market growth. The report intends to provide
cutting-edge market intelligence and help decision makers take sound investment
decisions. Besides, the report also identifies and analyzes the emerging trends
along with essential drivers, challenges, and opportunities in the of global AI
in data integration market.
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