Insights on the Augmented Analytics Global Market to 2026 - Featuring Salesforce, SAP & SAS Institute Among Others - ResearchAndMarkets.com

The "Augmented Analytics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)" report has been added to ResearchAndMarkets.com's offering.

The augmented analytics market is expected to register a CAGR of 31.2% during the forecast period (2021 - 2026). With the dominance of business intelligence, augmented analytics solutions have been designed to facilitate the automated insights that can be leveraged to assess the performance and overall brand health, identify growth pockets and opportunities, which determine a holistic understanding of how the brands can be fit to the marketplace.

Companies Mentioned

• Microsoft Corporation
• QlikTech International AB
• IBM Corporation
• Salesforce.com inc.
• SAP SE
• SAS Institute, Inc.
• TIBCO Software Inc.
• Sisense Inc.
• ThoughtSpot Inc.
• MicroStrategy Inc.
• GoodData Corporation

Key Market Trends

Retail Sector is Expected to Have a Significant Growth During the Forecast Period

• Augmented analytics provides vital insights in the retail e-commerce processes thereby analyzing the overall data present over the retail business, via all the in-store surveillance cameras, captured social media information, along with the customer insights, as well as correlating it with the historical data and churn out insights at a very high speed. This is possible through the integration of AI that brings the power of scale, speed, and efficiency to the business data.
• The adoption of Big Data across the retail sector has led to an increase in the adoption rates of Augmented Analytics. According to SAS Institute, estimated adoption rates of Big Data in the United Kingdom in 2020 is forecasted at around 59%. This showcases the huge potential for augmented analytics and thus, can provide a great advantage in the online retail segment.
• Augmented intelligence systems can be implemented on top of the end-users industries in current retail technology. Rather than working with the human intelligence altogether, businesses can work on developing automated systems for data preparation, machine-based algorithms, deep learning, advanced analytics, and insight discovery to aid decision-making at all the levels of the retail business.
• Analytics have faced adoption challenges in retail segment, but now it has been integrated along with the augmented analytics solutions. For instance, with the use of augmented analytics and NLP, any in-store salesperson can simply ask about the top things that they can do to improve the sales and get a well-analyzed and complete answer from the system.

North America is Expected to Have the Largest Market Growth

• The massive adoption rates of artificial intelligence and machine learning technologies in North America across the past few years have fueled the market acceptance that AI might become capable enough to challenge or replace human intelligence altogether.
• Data consumers were burdened with several repetitive, time-consuming tasks that required very little intelligence. With the introduction of AI, these tasks are being automated and can be conducted real-time, thereby increasing human productivity multifold. With the ever-increasing competition amongst the manufacturers in the United States region, productivity maximization can help them to achieve increased profits, thereby expanding their overall revenue.
• With the adoption of augmented analytics, the analyst over th region focuses on the analysis portion, without spending much time of data cleaning earlier which consumes the maximum time. This result in increased efficiencies and thus can result in a huge competitive advantage in a competitive marketplace across the United States & Canada.
• According to Clutch.co, the share of businesses using artificial intelligence (AI) on the cloud in the United States increased from 5% in 2014 to 18% in 2017. The infrastructure developed for AI acts as a strong base for further development of Augmented Analytics across the region.

Key Topics Covered:

1 INTRODUCTION

1.1 Study Assumptions

1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

4.1 Market Overview

4.2 Market Drivers

4.2.1 Increasing Demand to Cater Complex Business Data

4.2.2 Huge Adoption of Business Intelligence Tools

4.3 Market Restraints

4.3.1 Resistance Due to Replacement of Human Intelligence

4.4 Industry Attractiveness - Porter's Five Force Analysis

4.5 Technology Snapshot

5 MARKET SEGMENTATION

5.1 By Deployment

5.1.1 On-premise

5.1.2 Cloud

5.2 By End-user Industry

5.2.1 BFSI

5.2.2 Telecom & IT

5.2.3 Retail

5.2.4 Healthcare

5.2.5 Manufacturing

5.2.6 Media & Entertainment

5.2.7 Other End-user Industries

5.3 Geography

5.3.1 North America

5.3.1.1 United States

5.3.1.2 Canada

5.3.2 Europe

5.3.2.1 United Kingdom

5.3.2.2 Germany

5.3.2.3 France

5.3.2.4 Rest of Europe

5.3.3 Asia-Pacific

5.3.3.1 China

5.3.3.2 Japan

5.3.3.3 Australia

5.3.3.4 Rest of Asia-Pacific

5.3.4 Rest of the World

6 COMPETITIVE LANDSCAPE

6.1 Company Profiles

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

For more information about this report visit https://www.researchandmarkets.com/r/zg57yj

View source version on businesswire.com: https://www.businesswire.com/news/home/20210317005535/en/