Augmented Intelligence Market Share Analysis Report, 2023-2032
The global augmented intelligence market size was exhibited at USD 19.32 billion in 2022 and is projected to hit around USD 207.42 billion by 2032, growing at a CAGR of 26.79% during the forecast period 2023 to 2032.
Key Pointers:
The Augmented intelligence industry is driven by increasing volume of complex business data, however, rising in adoption of advanced augmented intelligence and analytics tools, and adoption and scaling of digital initiatives.
Augmented Intelligence Market Report Scope
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Report Coverage |
Details |
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Market Size in 2023 |
USD 24.5 Billion |
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Market Size by 2032 |
USD 207.42 Billion |
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Growth Rate From 2023 to 2032 |
CAGR of 26.79% |
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Base Year |
2022 |
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Forecast Period |
2023 to 2032 |
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Segments Covered |
By Component, By Technology, By Enterprise Size, and By End User |
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Market Analysis (Terms Used) |
Value (US$ Million/Billion) or (Volume/Units) |
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Regional Scope |
North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
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Key Companies Profiled |
Salesforce.com, Inc., Samsung, SAP SE, Sisense Inc., TIBCO Software Inc., Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB and Others. |
Market Dynamics
Driver: Increasing volume of complex business data
To analyze the data, there is a growing need for augmented intelligence technologies, such as ML and Natural Language Processing (NLP). Augmented intelligence makes it possible to analyze structured, semi-structured, and unstructured data sets available within organizations. The variety and volume of data produced are expected to considerably increase in the years to come, due to the evolution of digital technologies across business functions. This increasing volume of complex data is expected to drive the growth of the augmented intelligence market.
Restraint: Data Security Concerns
The backbone of augmented intelligence solutions, data, remains an important aspect that most organizations find difficult to manage. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. In today’s competitive marketplace, marketing teams require real-time and secure data to deliver an outstanding customer experience. Organizations are gathering data through multiple touchpoints and measure them virtually. Such data is used in support and communication and may include a variety of data types. These data types comprise public information, big data, and small data collected from customers. As IoT becomes more widespread, organizations will increasingly require more robust security and privacy to prevent breaches. The issue of security endangers the success of digitalization. With the growing number of IoT-enabled systems, the number of security and privacy issues will also increase, and every endpoint, gateway, sensor, and smartphone will become a potential target for hackers.
Opportunity: Increase in adoption of artificial intelligence, machine learning, and natural language processing technologies
The generation of a massive amount of data and the need to analyze it in real-time have compelled organizations to adopt new technologies, such as AI, ML, and NLP. These technologies have eased the whole process of gathering insights from data. Usually, data analysis was done through graphs and charts. To an untrained eye, the data analysis was not user-friendly, and there was a risk of misinterpretation and poor decision-making..
Challenge: Integration of Data from Data Silos
Extracting value from data has become a key requirement for companies to successfully mitigate risks, target valuable customers, and evaluate business performance. Monetizing these data assets require the availability of a sufficient amount of data. However, data consolidation from distinct data sources into meaningful information can incite various new challenges for organizations, especially centralized business enterprises. Data exchange and data ecosystem deliver tools to analyze the collected data at a centralized location and help extract and cross-check business-critical components. The development of data exchanges and data ecosystems varies based on the assumptions made in the value of the data for each customer segment. Various augmented intelligence providers offer unified data aggregation and data analytics platforms that help users in successfully aggregating and analyzing data from disparate data sources. Data exchange is a major concern for industries, such as BFSI and healthcare, which deal with individual’s confidential data. As the need for data exchange increases, it needs to be balanced with risk mitigation capabilities. With companies adopting the augmented intelligence software integrated with data security capabilities, data exchange is not expected to be a major issue in the near future.
North America to account for largest market size during the forecast period
North America is expected to have the largest market share in the augmented intelligence market. Key factors favoring the growth of the augmented intelligence market in North America include the increasing technological advancements in the region. The growing number of augmented intelligence players across regions is expected to further drive market growth.
Some of the prominent players in the Augmented Intelligence Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Augmented Intelligence market.
By Component
By Technology
By Enterprise Size
By End User
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Augmented Intelligence Market
5.1. COVID-19 Landscape: Augmented Intelligence Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Augmented Intelligence Market, By Component
8.1. Augmented Intelligence Market, by Component, 2023-2032
8.1.1. Solution
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Software Platform
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. On-Premise
8.1.4.1. Market Revenue and Forecast (2020-2032)
8.1.5. Cloud
8.1.5.1. Market Revenue and Forecast (2020-2032)
8.1.6. Services
8.1.6.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Augmented Intelligence Market, By Technology
9.1. Augmented Intelligence Market, by Technology, 2023-2032
9.1.1. Machine Learning
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Natural Language Processing
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Computer Vision
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Others
9.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Augmented Intelligence Market, By Enterprise Size
10.1. Augmented Intelligence Market, by Enterprise Size, 2023-2032
10.1.1. Large Enterprises
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Small & Medium Enterprises
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Augmented Intelligence Market, By End User
11.1. Augmented Intelligence Market, by End User, 2023-2032
11.1.1. IT & Telecom
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Retail & E-Commerce
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. BFSI
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Healthcare
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Manufacturing
11.1.5.1. Market Revenue and Forecast (2020-2032)
11.1.6. Automotive
11.1.6.1. Market Revenue and Forecast (2020-2032)
11.1.7. Others
11.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Augmented Intelligence Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.1.4. Market Revenue and Forecast, by End User (2020-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.1.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.1.6.4. Market Revenue and Forecast, by End User (2020-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.2.4. Market Revenue and Forecast, by End User (2020-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.2.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.2.6.4. Market Revenue and Forecast, by End User (2020-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.2.7.4. Market Revenue and Forecast, by End User (2020-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.8.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.2.8.4. Market Revenue and Forecast, by End User (2020-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.3.4. Market Revenue and Forecast, by End User (2020-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.3.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.3.6.4. Market Revenue and Forecast, by End User (2020-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.3.7.4. Market Revenue and Forecast, by End User (2020-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.8.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.3.8.4. Market Revenue and Forecast, by End User (2020-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.4.4. Market Revenue and Forecast, by End User (2020-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.4.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.4.6.4. Market Revenue and Forecast, by End User (2020-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.7.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.4.7.4. Market Revenue and Forecast, by End User (2020-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.8.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.4.8.4. Market Revenue and Forecast, by End User (2020-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.5.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.5.5.4. Market Revenue and Forecast, by End User (2020-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.6.3. Market Revenue and Forecast, by Enterprise Size (2020-2032)
12.5.6.4. Market Revenue and Forecast, by End User (2020-2032)
Chapter 13. Company Profiles
13.1. Salesforce.com, Inc.
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Samsung
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. SAP SE
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Sisense Inc.
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. TIBCO Software Inc.
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Amazon Web Services, Inc.
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. International Business Machines Corporation
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Micron Technology, Inc.
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Microsoft Corporation
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. QlikTech International AB
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers