According to the research report, the global augmented intelligence market size is expected to touch USD 206.91 Billion by 2032, from USD 19.29 Billion in 2022, growing with a significant CAGR of 26.78% from 2023 to 2032.
The augmented intelligence report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global augmented intelligence in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global augmented intelligence market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global augmented intelligence during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
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Report Scope of the Augmented Intelligence Market:
| Report Coverage | Details |
| Market Size in 2023 | USD 24.45 Billion |
| Market Size by 2032 | USD 206.91 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 26.78% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Component, By Technology, By Enterprise Size, and By End User |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
This study covers a detailed segmentation of the global augmented intelligence market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global augmented intelligence market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- 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
Market Segmentation
By Component
- Solution
- Hardware
- Software Platform
- On-Premise
- Cloud
- Services
By Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises
By End User
- IT & Telecom
- Retail & E-Commerce
- BFSI
- Healthcare
- Manufacturing
- Automotive
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- The Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global augmented intelligence report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global augmented intelligence market.
TABLE OF CONTENT
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
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