INFORMATION & COMMUNICATION TECHNOLOGY
Global Augmented Intelligence Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Augmented Intelligence Market, By Component (Software and Services), Technology (Machine Learning, Natural Language Processing, Computer Vision, and Others), Deployment Mode (Cloud and On-Premises), Organization Size (Small and Medium-Sized Enterprises and Large Enterprises), Vertical (BFSI, IT and Telecom, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Government and Defense, Energy and Utilities, Transportation and Logistics, Media and Entertainment, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global Augmented Intelligence market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
The term "Augmented Intelligence" refers to the integration of artificial intelligence (AI) technologies into human workflows to enhance cognitive capabilities and decision-making rather than replacing human intelligence entirely. It focuses on leveraging AI to augment human capabilities, such as enhancing productivity, improving decision-making processes, and providing insights that empower users rather than automating tasks entirely. The global Augmented Intelligence market represents a dynamic intersection of AI technology and human intelligence, aiming to augment human capabilities and drive innovation across industries.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Advancements in Artificial Intelligence (AI) technologies
- Rising automation and efficiency demands
RESTRAINTS
- Lack of skilled talent
- Complexity of implementation
OPPORTUNITIES
- Cybersecurity and threat detection
- Edge computing and real-time decision making
CHALLENGES
- Performance and reliability
- Lack of standards and interoperability
SEGMENTATION
- Component
- Software
- Services
- Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
- Deployment Mode
- Cloud
- On-Premises
- Organization Size
- Small and Medium-Sized Enterprises
- Large Enterprises
- Vertical
- BFSI
- IT and Telecom
- Retail and Consumer Goods
- Healthcare and Life Sciences
- Manufacturing
- Government and Defense
- Energy and Utilities
- Transportation and Logistics
- Media and Entertainment
- Others
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- AWS
- Microsoft
- SAP
- Cosmo Tech
- IBM
- Bondi Labs
- Aible
- Tellius
- Lucidworks
- Sisense
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Augmented Intelligence Market, by Component
- 3.2 Global Augmented Intelligence Market, by Technology
- 3.3 Global Augmented Intelligence Market, by Deployment Mode
- 3.4 Global Augmented Intelligence Market, by Organization Size
- 3.5 Global Augmented Intelligence Market, by Vertical
- 3.6 Global Augmented Intelligence Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Integration of AI with human expertise
- 5.1.2 Personalization and customer insights
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Advancements in Artificial Intelligence (AI) technologies
- 5.2.2 Rising automation and efficiency demands
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Lack of skilled talent
- 5.3.2 Complexity of implementation
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Cybersecurity and threat detection
- 5.4.2 Edge computing and real-time decision making
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Performance and reliability
- 5.5.2 Lack of standards and interoperability
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY COMPONENT
- 6.1 Component Summary
- 6.2 Market Attractive Index
- 6.3 Global Augmented Intelligence Market, by Component (2019-2032)
- SECTION 7 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY TECHNOLOGY
- 7.1 Technology Summary
- 7.2 Market Attractive Index
- 7.3 Global Augmented Intelligence Market, by Technology (2019-2032)
- SECTION 8 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY DEPLOYMENT MODE
- 8.1 Deployment Mode Summary
- 8.2 Market Attractive Index
- 8.3 Global Augmented Intelligence Market, by Deployment Mode (2019-2032)
- SECTION 9 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY ORGANIZATION SIZE
- 9.1 Organization Size Summary
- 9.2 Market Attractive Index
- 9.3 Global Augmented Intelligence Market, by Organization Size (2019-2032)
- SECTION 10 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY VERTICAL
- 10.1 Vertical Summary
- 10.2 Market Attractive Index
- 10.3 Global Augmented Intelligence Market, by Vertical (2019-2032)
- SECTION 11 - GLOBAL AUGMENTED INTELLIGENCE MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Augmented Intelligence Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA AUGMENTED INTELLIGENCE MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Augmented Intelligence Market, by Component (2019-2032)
- 12.4 North America Augmented Intelligence Market, by Technology (2019-2032)
- 12.5 North America Augmented Intelligence Market, by Deployment Mode (2019-2032)
- 12.6 North America Augmented Intelligence Market, by Organization Size (2019-2032)
- 12.7 North America Augmented Intelligence Market, by Vertical (2019-2032)
- 12.8 North America Augmented Intelligence Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE AUGMENTED INTELLIGENCE MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Augmented Intelligence Market, by Component (2019-2032)
- 13.4 Europe Augmented Intelligence Market, by Technology (2019-2032)
- 13.5 Europe Augmented Intelligence Market, by Deployment Mode (2019-2032)
- 13.6 Europe Augmented Intelligence Market, by Organization Size (2019-2032)
- 13.7 Europe Augmented Intelligence Market, by Vertical (2019-2032)
- 13.8 Europe Augmented Intelligence Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC AUGMENTED INTELLIGENCE MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Augmented Intelligence Market, by Component (2019-2032)
- 14.4 Asia-Pacific Augmented Intelligence Market, by Technology (2019-2032)
- 14.5 Asia-Pacific Augmented Intelligence Market, by Deployment Mode (2019-2032)
- 14.6 Asia-Pacific Augmented Intelligence Market, by Organization Size (2019-2032)
- 14.7 Asia-Pacific Augmented Intelligence Market, by Vertical (2019-2032)
- 14.8 Asia-Pacific Augmented Intelligence Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA AUGMENTED INTELLIGENCE MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Augmented Intelligence Market, by Component (2019-2032)
- 15.4 South America Augmented Intelligence Market, by Technology (2019-2032)
- 15.5 South America Augmented Intelligence Market, by Deployment Mode (2019-2032)
- 15.6 South America Augmented Intelligence Market, by Organization Size (2019-2032)
- 15.7 South America Augmented Intelligence Market, by Vertical (2019-2032)
- 15.8 South America Augmented Intelligence Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA AUGMENTED INTELLIGENCE MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Augmented Intelligence Market, by Component (2019-2032)
- 16.4 Middle East and Africa Augmented Intelligence Market, by Technology (2019-2032)
- 16.5 Middle East and Africa Augmented Intelligence Market, by Deployment Mode (2019-2032)
- 16.6 Middle East and Africa Augmented Intelligence Market, by Organization Size (2019-2032)
- 16.7 Middle East and Africa Augmented Intelligence Market, by Vertical (2019-2032)
- 16.8 Middle East and Africa Augmented Intelligence Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Augmented Intelligence Market, Company Share Analysis
- 17.2 North America Augmented Intelligence Market, Company Share Analysis
- 17.3 Europe Augmented Intelligence Market, Company Share Analysis
- 17.4 Asia-Pacific Augmented Intelligence Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 AWS
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 Microsoft
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 SAP
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Cosmo Tech
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 IBM
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Bondi Labs
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Aible
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Tellius
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Lucidworks
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 Sisense
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.