Augmented Analytics Market – Trends Forecast Till 2031

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Augmented Analytics Market Trends and Forecast
Till 2031
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Augmented Analytics Market Trends and Forecast
Till 2031
Augmented Analytics Market, By Component
(Software, Services), By Enterprise Size, By
Deployment Type (Cloud, On-premise) By Vertical
and region (North America, Europe, Asia-Pacific,
Middle East and Africa and South
America).
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Market Overview
Augmented analytics refers to the integration of
machine learning (ML) and artificial intelligence
(AI) capabilities into data analytics processes,
enabling automation, data-driven insights, and
more efficient decision-making. It allows users
to automatically analyze data, identify patterns,
and generate recommendations without requiring
extensive technical knowledge. By incorporating
AI-driven insights into data exploration and
reporting, augmented analytics improves the
overall analytics process and empowers
organizations to make informed decisions faster
and more accurately. The scope of
the augmented analytics market includes
applications in various industries such as
healthcare, retail, finance, manufacturing, and
telecommunications. This technology is used to
enhance data analysis, automate reporting, and
improve forecasting accuracy. Additionally, it
supports the growing demand for real-time
analytics, enabling businesses to adapt quickly
to market changes and customer needs.Purchase
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Key Findings
The Augmented Analytics Market is segmented into
Based on Component, Based on Enterprise
Size, Based on Deployment, Based on Vertical
Software led the market, capturing a
significant share of 80.5. Augmented analytics
software enables businesses to derive precise
insights from data analysis, helping both new and
established companies with new projects and other
forms of data analysis. Services are
anticipated to grow the fastest, with a projected
CAGR of 29.7. Services like training,
consulting, deployment, and maintenance are
crucial in helping organizations optimize their
analytics workflows and ensure smooth
adoption. Large enterprises dominated the
market, holding 74.5 of the share, driven by
increasing investments in digital solutions.
These companies are using advanced analytics to
enhance decision-making and automate manual
processes, which in turn improves customer
satisfaction. Small and medium-sized enterprises
(SMEs) are expected to experience the fastest
growth, with a projected CAGR of 29.6. In a
highly competitive landscape, these businesses
are focusing on customer satisfaction, and
analytics tools help them gather valuable
insights to shape their business strategies.
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Key Findings
The IT and telecommunication sector held the
largest market share of 22.7. Telecommunications
companies are increasingly adopting augmented
analytics to extract valuable insights from big
data. Their focus is on enhancing customer
experience, reducing costs, and driving revenue
growth. The market is also divided into various
regions such as North America, Europe,
Asia-Pacific, South America, and Middle East and
Africa. North America region is projected to hold
the largest market share. Factors such the
growing volume of data, demand for real-time
analytics, rise of AI and machine learning, need
for data-driven decision-making, adoption of
cloud-based solutions, shift towards self-service
analytics, desire to enhance operational
efficiency, and competitive pressure to leverage
data insights have triggered the Augmented
Analytics Market in the region. Inquire Before
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Competitive Landscape

• Salesforce
• SAP
• IBM
• Microsoft
• Oracle
• Tableau Software
• Microstrategy

• SAS
• Qlik
• Tibco Software
• Sisense
• Information Builders
• Yellowfin
• ThoughtSpot
• Domo

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Recent Developments
In July 2024, Qlik launched Qlik Talend Cloud, an
integrated solution that combines advanced AI
with reliable data foundations, enabling seamless
and secure AI adoption at scale. In April
2024, Cloud Software Group, Inc. and Microsoft
entered into an eight-year strategic partnership,
pledging USD 1.65 billion to enhance Microsofts
cloud and AI capabilities. This collaboration
aims to deliver joint cloud solutions and
generative AI to over 100 million users. In May
2024, Oracle and Accenture partnered to
accelerate the adoption of generative AI,
introducing new solutions and use cases to
empower CFOs with AI-driven financial planning
and analysis, optimizing operations, and driving
growth.
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Contact Information
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