What is the global market size of Advanced Analytics Market?

Advanced Analytics Market size was valued at USD 34.6 billion in 2021 and is poised to grow from USD 41.85 billion in 2022 to USD 189.56 billion by 2030, at a CAGR of 21.1% during the forecast period (2023-2030).

Advanced Analytics Market Size, Share, Growth Analysis, By Type(Big Data Analytics, Business Analytics, Customer Analytics, Risk Analytics), By Deployment(On-premise, and Cloud), By Enterprise Size(Large Enterprises, and Small & Medium Enterprises (SMEs)), By End-use(BFSI, Government, Healthcare, IT & Telecom), By Region - Industry Forecast 2024-2031

Report ID: SQMIG45C2033 | Region: Global | Published Date: July, 2024
Pages: 197 | Tables: 120 | Figures: 77

Advanced Analytics Market News

In July 2024, The Maxwell Centre at the University of Cambridge announced their strategic partnership with SAS, a global leader in data and analytics, to accelerate healthcare innovation. By combining Cambridge's world-class research with SAS' advanced analytics capabilities, the collaboration aims to develop groundbreaking solutions for complex healthcare challenges. This partnership will foster innovation, improve patient outcomes, and drive the future of healthcare.
In July 2024, CallTower, a global leader in delivering unified communications, including Microsoft Teams, Webex by Cisco, and Zoom, announced that they are partnering with Tollring to deliver advanced call analytics on Microsoft Teams with Analytics 365. This cutting-edge solution, designed specifically for Microsoft Teams, revolutionises the way organisations harness call data insights to enhance team performance, improve customer engagement and maximise revenue.
In February 2024, Blu Parrot, a leader in data analytics, has entered into a strategic partnership with Bright Data, a global leader in public web data collection. This collaboration aims to enhance Blu Parrot's data analytics capabilities by leveraging Bright Data's vast and diverse dataset. By combining their expertise, the two companies will deliver more comprehensive and actionable insights to clients across various industries.

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Global Advanced Analytics Market size was valued at around USD 41.85 billion in 2022 and is expected to rise from USD 64.3 billion in 2023 to reach a value of USD 480.99 Billion by 2031, at a CAGR of 28.6% during the forecast period (2024–2031).

A few huge players dominate the market. However, in recent years, the advent of niche competitors offering solutions tailored to the industry has altered market dynamics. Companies can be observed pursuing mergers, acquisitions, and alliances in order to improve their products and obtain a market advantage. Companies are developing new products and improving existing ones in order to get new clients and expand their market share. RapidMiner, Inc., for example, announced an agreement with Hivecell, an Edge-as-a-Service firm, in 2021. The cooperation aims to enable users to quickly construct and run models with data that streams from the edge. 'IBM', 'Microsoft Corporation', 'SAP SE', 'Oracle Corporation', 'SAS Institute Inc.', 'Amazon Web Services Inc.', 'Google LLC', 'Teradata Corporation', 'Alteryx, Inc.', 'MicroStrategy Incorporated', 'TIBCO Software Inc.', 'Qlik Technologies Inc.', 'Tableau Software, LLC', 'RapidMiner, Inc.', 'KNIME AG', 'FICO (Fair Isaac Corporation)', 'Databricks, Inc.', 'Cloudera, Inc.', 'Talend Inc.', 'MathWorks, Inc.'

With the increasing amount of data being generated, there is a growing need for advanced analytics solutions to derive insights and make informed decisions.

Artificial Intelligence (AI) and Machine Learning (ML) Dominance: AI and ML are emerging as the dominant technologies in advanced analytics. These technologies can help organizations extract insights from complex and unstructured data and automate decision-making processes.

North America represented a significant market share of more than 45% of the globally advanced analytics market. This is due to the availability of supporting infrastructure for the application of cutting-edge analytics, as well as a surge in the usage of advanced technologies like AI and machine learning.

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