Global Augmented Analytics Market Size, Share, Opportunities, And Trends By Component (Hardware, Software, Services), By Deployment Model (On-Premise, Cloud), By Enterprise Size (Small, Medium, Large), By Industry Vertical (Retail, IT and Telecom, BFSI, Healthcare, Government, Manufacturing, Others), And By Geography - Forecasts From 2025 to 2030

Augmented Analytics Market Size:

The global augmented analytics market, valued at US$8.532 billion in 2030 from US$4.950 billion in 2025, is projected to grow at a CAGR of 11.5% through 2030.

Advanced technologies like artificial intelligence (AI), machine learning, and natural language processing are employed in augmented analytics to help facilitate data analysis. Technology has enabled companies to make decisions faster and more appropriately for growth. Further, the notable increase in data drove the demand for analytical solutions and the adoption of AI across industries.  The market grew more quickly due to this wave of digitalization across industries. In addition, the high growth of digital data will also increase the demand for sophisticated and effective tools for data analysis.

Global Augmented Analytics Market Overview & Scope:

The global augmented analytics market is segmented by:

• Components: The global augmented analytics market by component is segmented into hardware, software, and services. Software for augmented analytics helps both new and existing companies get precise insights from contextual data analysis for new projects and other data analyses. Additionally, it provides faster responses to questions about analysis without interfering with the analysis itself.
• Deployment Model: The market is segmented by deployment model into on-premise and cloud. Cloud-based deployment offers a flexible and agile environment for deploying the technology while removing the initial setup cost and future scaling. Additionally, small and medium-sized businesses with limited funds prefer cloud deployment because it provides a highly dependable environment with cheap data backup.
• Enterprise Size: The enterprise size is segmented into small, medium, and large. Multinational corporations produce large amounts of structured and unstructured big data across various industry verticals, leading to the widespread use of augmented analytics solutions in large enterprises. Due to their more considerable budgets, big businesses are increasingly spending on these solutions to handle the growing demand for accurate and relevant business insights while streamlining their operations.
• Industry Vertical: The industry vertical is segmented into retail, IT and telecom, BFSI, healthcare, government, manufacturing, and others. High healthcare expenditure necessitates the development of advanced technologies, leading to the advancement of diagnostic technology and therapies. Due to this, significant growth has been observed in partnership and collaboration rates among hospitals, large technology firms, healthcare startups, and research centers in AR.
• Region: The early adoption of advanced technologies, combined with the presence of major market players in the region, is the main driver of the augmented analytics market in North America.

Top Trends Shaping the Global Augmented Analytics Market:

1. Technology Integration

• The integration of AI and ML significantly redefines the global augmented analytics market. They facilitate better decision-making, data analysis automation, and predictive assessments. ML and AI help business firms quickly derive actionable insights by identifying and mapping patterns or trends in voluminous datasets. In addition, this trend boosts demand in essential industries such as healthcare and finance, where timely data analysis helps in improving operational efficiencies.

2. Increasing Use of Cloud

• Cloud-based augmented analytics solutions are becoming increasingly necessary because of their affordability, adaptability, and scalability. Cloud-based platforms allow businesses to analyze and gather massive volumes of data without the need for significant on-premise infrastructure.

Global Augmented Analytics Market Growth Drivers vs. Challenges:

Opportunities:

• High Data Volumes: The exponential production of data being generated in various industries makes it imperative that more advanced analytical capabilities be used. Augmented analytics solves this problem and provides scalable solutions to process and analyze millions of data points in well-designed large-scale data management solutions. For instance, Amazon Web Services launched an upgrade of its "Data Lake Formation" service.
• Self-Service Analytics: Self-service analytics tools enabling non-technical users to analyze data are becoming increasingly popular. This trend is also supported by the growing use of augmented analytics, providing an effortless interface for accessing and analyzing the data, and it gives insights automatically.

Challenges:

• Data Security Concerns: The use of augmented analytics brings up significant data privacy and security concerns, especially when sensitive data is involved. Hence, its adoption may be hampered by the complexity of ensuring strong protection and regulatory compliance. Even with initiatives to streamline analytics, managing and interpreting data from augmented analytics tools requires qualified experts. A lack of skilled data scientists and analysts may make implementation less successful.

Global Augmented Analytics Market Regional Analysis:

• North America: The strong presence of major market players, widespread use of AI and ML technologies, and robust technological infrastructure are the main reasons that have pushed North America to become a dominant region in the global augmented analytics market. Key industries in the area, such as retail, finance, and healthcare, are quickly implementing augmented analytics to improve decision-making and operational effectiveness.

Global Augmented Analytics Market Competitive Landscape:

The market is fragmented, with many notable players, including Microsoft, IBM, SAP Analytics Cloud, and Salesforce.com, inc., among others:

• Launch: In March 2024, TransUnion, a prominent U.S. credit bureau, launched OneTru, a new cloud-based platform that combines its suite of AI-powered fraud detection, credit risk assessment, and data analytics tools. This single portal aims to improve financial institutions' decision-making and expedite access to TransUnion's products.

Augmented Analytics Market Scope:

Report Metric	Details
Augmented Analytics Market Size in 2025	US$4.950 billion
Augmented Analytics Market Size in 2030	US$8.532 billion
Growth Rate	CAGR of 11.5%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Component Deployment Model Enterprise Size Industry Vertical Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in Augmented Analytics Market	Microsoft IBM SAP Analytics Cloud Salesforce.com, Inc. Oracle
Customization Scope	Free report customization with purchase

 

Global Augmented Analytics Market is analyzed into the following segments:

By Component

• Hardware
• Software
• Services

By Deployment Model

• On-Premise
• Cloud

By Enterprise Size

• Small
• Medium
• Large

By Industry Vertical

• Retail
• IT and Telecom
• BFSI
• Healthcare
• Government
• Manufacturing
• Others

By Region

• North America
• Europe
• Asia Pacific
• South America
• Middle East & Africa

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1. EXECUTIVE SUMMARY 

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE 

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities 

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations 

3.7. Strategic Recommendations 

4. TECHNOLOGICAL OUTLOOK

5. GLOBAL AUGMENTED ANALYTICS MARKET BY COMPONENT

5.1. Introduction

5.2. Hardware

5.3. Software

5.4. Services

6. GLOBAL AUGMENTED ANALYTICS MARKET BY DEPLOYMENT MODEL

6.1. Introduction

6.2. On-Premise

6.3. Cloud

7. GLOBAL AUGMENTED ANALYTICS MARKET BY ENTERPRISE SIZE

7.1. Introduction

7.2. Small

7.3. Medium

7.4. Large

8. GLOBAL AUGMENTED ANALYTICS MARKET BY INDUSTRY VERTICAL

8.1. Introduction

8.2. Retail

8.3. IT and Telecom

8.4. BFSI

8.5. Healthcare

8.6. Government

8.7. Manufacturing

8.8. Others

9. GLOBAL AUGMENTED ANALYTICS MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. By Component

9.2.2. By Deployment Model

9.2.3. By Enterprise Size

9.2.4. By Industry Vertical

9.2.5. By Country

9.2.5.1. USA

9.2.5.2. Canada

9.2.5.3. Mexico

9.3. South America

9.3.1. By Component

9.3.2. By Deployment Model

9.3.3. By Enterprise Size

9.3.4. By Industry Vertical

9.3.5. By Country

9.3.5.1. Brazil

9.3.5.2. Argentina

9.3.5.3. Others

9.4. Europe

9.4.1. By Component

9.4.2. By Deployment Model

9.4.3. By Enterprise Size

9.4.4. By Industry Vertical

9.4.5. By Country

9.4.5.1. Germany

9.4.5.2. France

9.4.5.3. United Kingdom

9.4.5.4. Spain

9.4.5.5. Others

9.5. Middle East and Africa

9.5.1. By Component

9.5.2. By Deployment Model

9.5.3. By Enterprise Size

9.5.4. By Industry Vertical

9.5.5. By Country

9.5.5.1. Saudi Arabia

9.5.5.2. UAE

9.5.5.3. Israel

9.5.5.4. Others

9.6. Asia Pacific

9.6.1. By Component

9.6.2. By Deployment Model

9.6.3. By Enterprise Size

9.6.4. By Industry Vertical

9.6.5. By Country

9.6.5.1. China

9.6.5.2. Japan

9.6.5.3. India

9.6.5.4. South Korea

9.6.5.5. Indonesia

9.6.5.6. Taiwan

9.6.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Microsoft

11.2. IBM

11.3. SAP Analytics Cloud

11.4. Salesforce.com, Inc.

11.5. Oracle

11.6. Sisense Inc.

11.7. MicroStrategy Incorporated

11.8. TIBCO Software Inc.

11.9. QlikTech International AB

11.10. Tellius, Inc.

12. APPENDIX

12.1. Currency 

12.2. Assumptions

12.3. Base and Forecast Years Timeline

12.4. Key benefits for the stakeholders

12.5. Research Methodology 

12.6. Abbreviations 

Microsoft

IBM

SAP Analytics Cloud

Salesforce.com, Inc.

Oracle

Sisense Inc.

MicroStrategy Incorporated

TIBCO Software Inc.

QlikTech International AB

Tellius, Inc.