Augmented Intelligence Market Report Scope & Overview:

The Augmented Intelligence Market size was valued at USD 21.9 Bn in 2023 and is expected to reach USD 136.1 Bn by 2031,and grow at a CAGR of 25.6% over the forecast period 2024-2031.

Artificial intelligence that focuses on AI's assisting role is known as augmented intelligence. Furthermore, augmented intelligence is being created to assist organizations in making more accurate data-driven judgments in business and daily life. Furthermore, it improves employee performance in firms and aids the organization in understanding the areas where employees are deficient. Furthermore, by delivering predictive analytics to businesses, augmented intelligence is the most effective approach to use and prioritize a big collection of security data.

Augmented Intelligence Market Revenue Analysis

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In the near years, augmented intelligence will be described as the collaboration between a computer and a human to produce effective and efficient results. For example, AI will play a critical role in banks and financial institutions, since this human-machine pairing will enable them to process business intelligence and improve employee-customer contact. In the same way, the healthcare business needs more operational efficiency when interacting with patients, and augmented intelligence will allow them to expand their usual settings.


  • Businesses are increasingly using sophisticated analytics, smart contracts, machine intelligence, and the Internet of things

  • Increasing usage of digital media in order to satisfy client expectations.


  • Difficulties in applying augmented intelligence technologies, for example.

  • enhanced intelligence professionals are in short supply.


  • The usage of augmented intelligence solutions by large corporations is on the rise.

  • An increase in the quantity and variety of data inside an automated system.


  • Concerns about the security and privacy of sensitive and secret information.


Digital infrastructure is critical in visualizing and simulating outbreaks in the COVID-19 situation. As the pandemic continues to spread over the world, businesses must seek out new solutions in order to stay ahead of the competition. This circumstance is viewed as a profitable opportunity by businesses. They're concentrating on day-to-day operations rather than investing in the digital business and long-term sustainability. Furthermore, in the current scenario, the enhanced corporate capability of long-distance collective work, widespread recognition of the value of digital transformation and IT among all employees, and the ability to market products online and develop businesses have all had a significant impact on the digital market. For example, banks are concentrating on implementing cutting-edge technologies such as AI, machine learning, cloud, human-computer interface, Internet of Things, and blockchain to strengthen the digital banking and payment products/services value chain. As a result, businesses are concentrating their efforts these days on quickly integrating digital infrastructure into their automation platforms in order to gain a significant competitive advantage, which thus sets out worthwhile open doors for the expanded knowledge market to fill sooner rather than later.


Machine learning, natural language processing, machine vision, context-aware computing, and other technologies are used to segment the augmented intelligence industry. In 2021, the machine learning category had the most market share.

In 2021, the healthcare category led the market, and it is predicted to continue to do so during the forecast period. The industry is growing as more people use augmented intelligence to help them make better clinical or healthcare decisions. Growing initiatives in healthcare augmented intelligence by leading companies such as IBM to provide clinical decision support to some of the top medical institutions in the US, as well as increasing efforts in machine learning technologies by other leaders such as Microsoft and Google, are propelling the market forward.

The BFSI category, on the other hand, is expected to increase rapidly throughout the projection period. The market is growing due to the increasing usage of augmented intelligence in financial institutions to provide a more flexible service environment to deliver enhanced customer satisfaction by decreasing operational risk and expense while also improving security and privacy.

Based on software and platform, the on-premise segment captured the largest share of the augmented intelligence market and is expected to maintain its dominance in the coming years, as on-premise software is widely used in large enterprises because it can be implemented on a company's own IT infrastructure and provides more security than cloud. However, due to a paradigm change in deployment techniques from on-premise to cloud-based models, the cloud category is predicted to increase the most. This is the primary driver of cloud-based augmented intelligence adoption among SMEs and some large corporations. In addition, major augmented intelligence suppliers have offered strategies to assist businesses in migrating from on-premise to cloud-based augmented intelligence models, fueling the segment's development.


On The Basis of Component:

  • Solution

    • Hardware

    • Software Platform

      • On-Premise

      • Cloud

  • Services

On The Basis of Technology:

  • Machine Learning

  • Natural Language Processing

  • Computer Vision 

  • Others

On The Basis of Organization Size:

  • Large Organization

  • Small & Medium Organizations

On The Basis of Industry Vertical:

  • IT & Telecom

  • Retail & E-Commerce

  • BFSI

  • Healthcare

  • Manufacturing

  • Automotive 

  • Others


Over the projection period of 2022 to 2028, North America is likely to maintain its dominance in the worldwide augmented intelligence market. Improvements in the regional economy, as well as increased penetration of solutions in the global augmented intelligence market in numerous new and emerging sectors in the area, are key drivers supporting this trend. Furthermore, the increasing number of cloud augmented intelligence solution providers in Canada and the United States is expected to increase sales in the global augmented intelligence market in North America throughout the forecast period. The Asia Pacific is another area predicted to have significant growth and expansion prospects in the global augmented intelligence market. The presence of small and medium-sized businesses employing solutions from the global augmented intelligence market is one of the key drivers driving this development.

Augmented Intelligence Market By Region

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  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


The major key players are Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB,, Inc., Samsung, SAP SE, Sisense Inc., TIBCO Software Inc. & Other Players

Salesforce -Company Financial Analysis

Company Landscape Analysis

Augmented Intelligence Market Report Scope:
Report Attributes Details
Market Size in 2023  US$ 21.9 Bn
Market Size by 2031  US$ 136.1 Bn
CAGR   CAGR of 25.6% From 2024 to 2031
Base Year  2023
Forecast Period  2024-2031
Historical Data  2020-2022
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • by Component (Solution, Services)
• by Technology (Machine Learning, Natural Language Processing, Computer Vision, Others)
• by Organization Size (Large Organization and Small & Medium Organization)
• by Industry Vertical (IT & Telecom, Retail & E-Commerce, BFSI, Healthcare, Manufacturing, Automotive, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB,, Inc., Samsung, SAP SE, Sisense Inc., TIBCO Software Inc.
Key Drivers • Businesses are increasingly using sophisticated analytics, smart contracts, machine intelligence, and the internet of things.
Market Opportunities • The usage of augmented intelligence solutions by large corporations is on the rise.
• An increase in the quantity and variety of data inside an automated system.


Frequently Asked Questions

Ans:- The estimated market size for the Augmented Intelligence market for the year 2031 is USD 136.1 Bn.

Ans:- Businesses are increasingly using sophisticated analytics, smart contracts, machine intelligence, and the internet of things and Increasing usage of digital media in order to satisfy client expectations.

Ans:- The segments covered in the Augmented Intelligence market report for study are On The Basis of Component, Technology, Organization Size, Industry Vertical etc

Ans:- The major key players are Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB,, Inc., Samsung, SAP SE, Sisense Inc., TIBCO Software Inc.

Ans:- Key Stakeholders Considered in the study are Raw material vendors, Distributors/traders/wholesalers/suppliers, Regulatory authorities, including government agencies and NGO, Importers and exporters etc 

Table of Contents


1. Introduction

1.1 Market Definition 

1.2 Scope

1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges 

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Augmented Intelligence Market Segmentation, by Component

8.1 Solution

8.1.1 Hardware

8.1.2 Software Platform On-Premise Cloud

8.2 Services

9. Augmented Intelligence Market Segmentation, by Technology

9.1 Machine Learning

9.2 Natural Language Processing

9.3 Computer Vision 

9.4 Others

10. Augmented Intelligence Market Segmentation, by Organization Size

10.1 Large Organization

10.2 Small & Medium Organization

11. Augmented Intelligence Market Segmentation, by Industry Vertical

11.1 IT & Telecom

11.2 Retail & E-Commerce

11.3 BFSI

11.4 Healthcare

11.5 Manufacturing

11.6 Automotive 

11.7 Others

12. Regional Analysis

12.1 Introduction

12.2 North America

12.2.1 USA

12.2.2 Canada

12.2.3 Mexico

12.3 Europe

12.3.1 Germany

12.3.2 UK

12.3.3 France

12.3.4 Italy

12.3.5 Spain

12.3.6 The Netherlands

12.3.7 Rest of Europe

12.4 Asia-Pacific

12.4.1 Japan

12.4.2 South Korea

12.4.3 China

12.4.4 India

12.4.5 Australia

12.4.6 Rest of Asia-Pacific

12.5 The Middle East & Africa

12.5.1 Israel

12.5.2 UAE

12.5.3 South Africa

12.5.4 Rest

12.6 Latin America

12.6.1 Brazil

12.6.2 Argentina

12.6.3 Rest of Latin America

13. Company Profiles

13.1 Amazon Web Services, Inc.

13.1.1 Financial

13.1.2 Products/ Services Offered

13.1.3 SWOT Analysis

13.1.4 The SNS view

13.2 International Business Machines Corporation

13.3 Micron Technology, Inc.

13.4 Microsoft Corporation

13.5 QlikTech International AB

13.6, Inc.

13.7 Samsung

13.8 SAP SE

13.9 Sisense Inc.

13.10 TIBCO Software Inc.

14. Competitive Landscape

14.1 Competitive Benchmarking

14.2 Market Share Analysis

14.3 Recent Developments

15. Conclusion

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

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Data Bank Validation

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