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  • Outlook on the Advanced Analytics Global Market to 2028 –
Written by ev3v4hn02/08/2021 10:41 AM

Outlook on the Advanced Analytics Global Market to 2028 –

Business Analytics Article

Table of Contents

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Dublin, July 29, 2021 (GLOBE NEWSWIRE) — The “Advanced Analytics Market Size, Share & Trends Analysis Report by Type (Big Data Analytics, Business Analytics), by Deployment (On-premise, Cloud), by Enterprise Size, by End-use, by Region and Segment Forecasts, 2021-2028” report has been added to ResearchAndMarkets.com’s offering.

The global advanced analytics market size is estimated to reach USD 74.99 billion by 2028, registering a CAGR of 25.7% over the forecast period. The growing usage of analytics by incumbents of the retail, IT and telecom and BFSI, among other industries, for various functions, such as behavior analytics, buyer pattern recognition, demand forecasting and trade promotion optimization, is expected to drive the growth of the market. The outbreak of the COVID-19 pandemic has particularly triggered the adoption of advanced analytics as incumbents of various end-use industries are resorting to remote working and are subsequently opting for advanced analytics to ensure operational steadiness and business process optimization leveraging data-based decision-making. On the other hand, the growth of the IT industry in emerging economies, such as Brazil, Argentina, the Philippines and Egypt, has fueled the demand for workflow optimization, which is subsequently pro
ected to drive the demand for advanced analytics.

Aggressive investments by the incumbents of various capital-intensive industries and industry verticals, such as manufacturing, automotive and pharmaceutical, in adopting advanced technology and digitalization for process optimization is expected to drive the growth of market growth over the forecast period. The usage of big data analytics in process optimization allows industrial manufacturers to identify variables that are affecting the production quality in real-time, improve the production process promptly and strengthen the supply chain. At the same time, while the demand for predictive solutions is growing, market players are aggressively launching cutting-edge analytics software solutions that can be offered over the cloud. For instance, Angoss Software Corporation, SAS Institute, Inc. and International Business Machines Corp., among others, are offering their respective advanced analytics software solutions primarily over the cloud.

Advanced analytics is emerging as an essential tool for predicting and forecasting trading patterns, electricity consumption patterns and rush-hour traffic conditions. Advanced analytics can potentially help organizations in improving strategic decision-making, managing operations smoothly and subsequently augmenting profitability. Apart from incumbents of various industries and industry verticals, such as military and defense, banking, healthcare and professional services, government agencies are also investing aggressively in big data analytics. The extensive adoption of analytics for processing and protecting the large volumes of data stored leveraging cloud services, such as Google Drive and Microsoft OneDrive, is expected to drive the growth of the market.

The outbreak of the COVID-19 pandemic has prompted organizations to reconfigure and revamp their business operations. Progressive analytics is particularly allowing businesses to revamp their analytical models and data management processes in line with the changing business environments. At this juncture, the measures being implemented to contain the spread of coronavirus, such as lockdowns, restrictions on travel and work from home and remote working policies, coupled with the changing behavior of end-users are expected to play a vital role in driving the growth of the market over the forecast period.

Advanced Analytics Market Report Highlights

  • The big data analytics segment accounted for the largest market share of over 30% in 2020. The increasing popularity of social media and the rising number of virtual online offices has significantly propelled segment growth
  • The cloud segment is expected to grow over the forecast period as businesses can store business data, including procurement data, customer data and transactional data, on the cloud and adopt cloud-based advanced analytics to support remote working and enable real-time decision making
  • The large enterprise segment is expected to witness significant growth over the forecast period as the large enterprises are focusing on improving productivity and efficiency by adopting various advanced analytics solutions, such as business analytics and customer analytics, to efficiently manage large volumes of customer and asset data
  • The BFSI segment is projected to register a CAGR of 25.1% from 2021 to 2028. The rising need to optimize processes, identify fraudulent transactions and facilitate risk handling across banks and financial institutions is expected to drive the growth of the market
  • The Asia Pacific regional market is anticipated to reach USD 13.33 billion by 2028. While the growing e-commerce industry in countries, such as India, China and Singapore, has increased the demand for predictive analytics and demand forecasting, the growing incidences of fraud in the BFSI industry have also triggered the demand for advanced analytics in the region

Key Topics Covered:

Chapter 1 Methodology and Scope

Chapter 2 Executive Summary

Chapter 3 Advanced Analytics Industry Outlook
3.1 Market Segmentation and Scope
3.2 Market Size and Growth Prospects
3.3 Advanced Analytics Market – Value Chain Analysis
3.3.1 Vendor landscape
3.4 Advanced Analytics Market – Market Dynamics
3.4.1 Market driver analysis
3.4.1.1 Rise in the amount of data generated worldwide
3.4.1.2 Increasing popularity of online shopping and rising social network penetration
3.4.1.3 Increasing need to address industry-specific challenges
3.4.2 Market challenge analysis
3.4.2.1 Lack of data integration and connectivity
3.4.3 Market opportunity analysis
3.4.3.1 Increasing demand from the BFSI sector
3.5 Penetration and Growth Prospect Mapping
3.6 Advanced Analytics Market – Porter’s Five Forces Analysis
3.7 Advanced Analytics Market – Company Market Share Analysis, 2020
3.8 Advanced Analytics Market – PESTEL Analysis
3.10 Advanced Analytics Market – COVID19 Impact Analysis

Chapter 4 Advanced Analytics Type Outlook
4.1 Advanced Analytics Market Share By Type, 2020
4.2 Big Data Analytics
4.2.1 Advanced big data analytics market, 2016 – 2028
4.3 Business Analytics
4.3.1 Advanced business analytics market, 2016 – 2028
4.4 Customer Analytics
4.4.1 Advanced customer analytics market, 2016 – 2028
4.5 Risk Analytics
4.5.1 Advanced risk analytics market, 2016 – 2028
4.6 Statistical Analysis
4.6.1 Advanced statistical analysis market, 2016 – 2028
4.7 Others
4.7.1 Other advanced analytics market, 2016 – 2028

Chapter 5 Advanced Analytics Deployment Outlook
5.1 Advanced Analytics Market Share By Deployment, 2020
5.2 On-premise
5.2.1 On-premise advanced analytics market, 2016 – 2028
5.3 Cloud
5.3.1 Cloud-based advanced analytics market, 2016 – 2028

Chapter 6 Advanced Analytics Enterprise Size Outlook
6.1 Advanced Analytics Market Share By Enterprise Size, 2020
6.2 Large Enterprises
6.2.1 Advanced anal
ytics market in large enterprises, 2016 – 2028
6.3 Small & Medium Enterprises (SMEs)
6.3.1 Advanced analytics market in SMEs, 2016 – 2028

Chapter 7 Advanced Analytics End-use Outlook
7.1 Advanced Analytics Market Share By End Use, 2020
7.2 BFSI
7.2.1 Advanced analytics market in BFSI, 2016 – 2028
7.3 Government
7.3.1 Advanced analytics market in government, 2016 – 2028
7.4 Healthcare
7.4.1 Advanced analytics market in healthcare, 2016 – 2028
7.5 IT & Telecom
7.5.1 Advanced analytics market in IT & telecom, 2016 – 2028
7.6 Military & Defense
7.6.1 Advanced analytics market in military & defense, 2016 – 2028
7.7 Others
7.7.1 Advanced analytics market in other end use, 2016 – 2028

Chapter 8 Advanced Analytics Regional Outlook

Chapter 9 Competitive Landscape
9.1 Altair Engineering, Inc.
9.1.1 Company overview
9.1.2 Financial performance
9.1.3 Product benchmarking
9.1.4 Strategic initiatives
9.2 Fair Isaac Corporation
9.2.1 Company overview
9.2.2 Financial performance
9.2.3 Product benchmarking
9.2.4 Strategic initiatives
9.3 International Business Machines Corp.
9.3.1 Company overview
9.3.2 Financial performance
9.3.3 Product benchmarking
9.3.4 Strategic initiatives
9.4 KNIME
9.4.1 Company overview
9.4.2 Financial performance
9.4.3 Product benchmarking
9.4.4 Strategic initiatives
9.5 Microsoft Corporation
9.5.1 Company overview
9.5.2 Financial performance
9.5.3 Product benchmarking
9.5.4 Strategic initiatives
9.6 Oracle Corporation
9.6.1 Company overview
9.6.2 Financial performance
9.6.3 Product benchmarking
9.6.4 Strategic initiatives
9.7 RapidMiner, Inc.
9.7.1 Company overview
9.7.2 Financial performance
9.7.3 Product benchmarking
9.7.4 Strategic initiatives
9.8 SAP SE
9.8.1 Company overview
9.8.2 Financial performance
9.8.3 Product benchmarking
9.8.4 Strategic initiatives
9.9 SAS Institute Inc.
9.9.1 Company overview
9.9.2 Financial performance
9.9.3 Product benchmarking
9.9.4 Strategic initiatives
9.10 Trianz
9.10.1 Company overview
9.10.2 Financial performance
9.10.3 Product benchmarking
9.10.4 Strategic initiatives

For more information about this report visit https://www.researchandmarkets.com/r/ojiruy


        

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The Rise of Intelligent Data: How Business Intelligence is Redefining Decision-Making

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