According to the report, the global augmented intelligence market size reached around USD 21.73 billion in 2023. Aided by technological advancements and the increasing demand for enhanced decision-making capabilities, the market is projected to grow at a CAGR of 25.4% between 2024 and 2032, reaching almost USD 166.54 billion by 2032.
Augmented intelligence, also known as intelligence amplification (IA), refers to the use of technology to enhance human cognitive functions rather than replace them. Unlike artificial intelligence (AI), which aims to mimic human intelligence, augmented intelligence focuses on leveraging AI technologies to improve human decision-making, productivity, and overall performance.
The global augmented intelligence market is experiencing rapid growth, driven by technological advancements, increasing demand for enhanced decision-making capabilities, and the rising adoption of AI across various industries. Augmented intelligence, which focuses on the symbiotic relationship between human intelligence and artificial intelligence (AI), aims to amplify human capabilities rather than replace them.
One of the most significant augmented intelligence market trends is the integration of AI and machine learning (ML) technologies into business processes. Organisations across industries are leveraging AI and ML to analyse vast amounts of data, derive insights, and support decision-making. These technologies enable businesses to identify patterns, predict outcomes, and optimise operations, thereby enhancing efficiency and productivity. The adoption of augmented intelligence is particularly strong in sectors such as finance, healthcare, and retail, where data-driven decision-making is crucial. By integrating AI with human expertise, companies can make more informed and accurate decisions, leading to better business outcomes.
The healthcare industry is one of the leading adopters aiding the global augmented intelligence market expansion, driven by the need for improved diagnostics, personalised treatment plans, and efficient patient care. AI-powered tools assist healthcare professionals in diagnosing diseases, analysing medical images, and predicting patient outcomes. For instance, augmented intelligence systems can analyse radiology images to detect anomalies that may be overlooked by human eyes. Additionally, AI algorithms are being used to develop personalised treatment plans based on a patient’s genetic makeup and medical history. The use of augmented intelligence in healthcare is enhancing the accuracy of diagnoses, improving patient outcomes, and reducing the burden on healthcare professionals.
In the finance sector, the global augmented intelligence market is expected to find increasing applications as they are adopted to transform the way financial institutions operate. AI-driven analytics are being used to detect fraud, manage risks, and optimise investment strategies. Augmented intelligence systems can analyse vast amounts of financial data in real time, identifying potential risks and opportunities that may not be apparent to human analysts. This enables financial institutions to make more informed decisions, improve risk management, and enhance regulatory compliance. The use of AI in customer service, through chatbots and virtual assistants, is also improving the customer experience by providing timely and personalised support.
Retail is another industry significantly influencing the global augmented intelligence market expansion. Retailers are using AI to analyse customer data, predict buying behaviour, and optimise inventory management. Augmented intelligence systems can provide personalised product recommendations, optimise pricing strategies, and enhance the overall shopping experience. By combining AI with human insights, retailers can better understand customer preferences, improve customer engagement, and drive sales. The use of AI in supply chain management is also helping retailers to streamline operations, reduce costs, and improve efficiency.
The increasing adoption of AI in the manufacturing sector is also shaping global augmented intelligence market dynamics. AI-powered systems are being used to optimise production processes, improve quality control, and enhance predictive maintenance. Augmented intelligence systems can analyse data from sensors and machinery to predict equipment failures, enabling proactive maintenance and reducing downtime. The use of AI in quality control allows for real-time monitoring and detection of defects, ensuring higher product quality and reducing waste. By integrating AI with human expertise, manufacturers can achieve higher levels of efficiency, productivity, and cost savings.
One of the driving forces behind the global augmented intelligence market growth is the advancement in natural language processing (NLP) and conversational AI. These technologies are enabling more natural and intuitive interactions between humans and machines. AI-powered chatbots and virtual assistants are becoming increasingly sophisticated, and capable of understanding and responding to complex queries in natural language. This is enhancing the user experience and expanding the use of AI in customer service, employee support, and other areas where human-machine interaction is essential.
The rise of edge computing is also influencing the augmented intelligence market development. Edge computing allows for data processing closer to the source of data generation, reducing latency and improving real-time decision-making capabilities. This is particularly important for applications that require immediate responses, such as autonomous vehicles, industrial automation, and healthcare monitoring. The integration of AI with edge computing is enabling more efficient and responsive augmented intelligence systems, expanding their applicability across various use cases.
Data privacy and security are critical considerations in the adoption of augmented intelligence. As organisations collect and analyse vast amounts of data, ensuring the privacy and security of this data is paramount. Regulatory frameworks such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States are imposing stringent requirements on data handling practices. Companies are investing in robust data security measures and transparent data governance practices to comply with these regulations and build trust with consumers.
The competitive landscape of the augmented intelligence market is characterised by a mix of established technology companies and innovative startups. Large tech companies such as IBM, Microsoft, and Google are investing heavily in AI research and development, offering comprehensive augmented intelligence solutions to various industries. Startups are also playing a crucial role, in driving innovation and developing niche applications for specific industries and use cases. Collaboration and partnerships between technology providers and industry players are common, enabling the co-creation of tailored augmented intelligence solutions.
Augmented intelligence, also known as intelligence amplification (IA), refers to the use of technology to enhance human cognitive functions rather than replace them. Unlike artificial intelligence (AI), which aims to mimic human intelligence, augmented intelligence focuses on leveraging AI technologies to improve human decision-making, productivity, and overall performance.
The global augmented intelligence market is experiencing rapid growth, driven by technological advancements, increasing demand for enhanced decision-making capabilities, and the rising adoption of AI across various industries. Augmented intelligence, which focuses on the symbiotic relationship between human intelligence and artificial intelligence (AI), aims to amplify human capabilities rather than replace them.
One of the most significant augmented intelligence market trends is the integration of AI and machine learning (ML) technologies into business processes. Organisations across industries are leveraging AI and ML to analyse vast amounts of data, derive insights, and support decision-making. These technologies enable businesses to identify patterns, predict outcomes, and optimise operations, thereby enhancing efficiency and productivity. The adoption of augmented intelligence is particularly strong in sectors such as finance, healthcare, and retail, where data-driven decision-making is crucial. By integrating AI with human expertise, companies can make more informed and accurate decisions, leading to better business outcomes.
The healthcare industry is one of the leading adopters aiding the global augmented intelligence market expansion, driven by the need for improved diagnostics, personalised treatment plans, and efficient patient care. AI-powered tools assist healthcare professionals in diagnosing diseases, analysing medical images, and predicting patient outcomes. For instance, augmented intelligence systems can analyse radiology images to detect anomalies that may be overlooked by human eyes. Additionally, AI algorithms are being used to develop personalised treatment plans based on a patient’s genetic makeup and medical history. The use of augmented intelligence in healthcare is enhancing the accuracy of diagnoses, improving patient outcomes, and reducing the burden on healthcare professionals.
In the finance sector, the global augmented intelligence market is expected to find increasing applications as they are adopted to transform the way financial institutions operate. AI-driven analytics are being used to detect fraud, manage risks, and optimise investment strategies. Augmented intelligence systems can analyse vast amounts of financial data in real time, identifying potential risks and opportunities that may not be apparent to human analysts. This enables financial institutions to make more informed decisions, improve risk management, and enhance regulatory compliance. The use of AI in customer service, through chatbots and virtual assistants, is also improving the customer experience by providing timely and personalised support.
Retail is another industry significantly influencing the global augmented intelligence market expansion. Retailers are using AI to analyse customer data, predict buying behaviour, and optimise inventory management. Augmented intelligence systems can provide personalised product recommendations, optimise pricing strategies, and enhance the overall shopping experience. By combining AI with human insights, retailers can better understand customer preferences, improve customer engagement, and drive sales. The use of AI in supply chain management is also helping retailers to streamline operations, reduce costs, and improve efficiency.
The increasing adoption of AI in the manufacturing sector is also shaping global augmented intelligence market dynamics. AI-powered systems are being used to optimise production processes, improve quality control, and enhance predictive maintenance. Augmented intelligence systems can analyse data from sensors and machinery to predict equipment failures, enabling proactive maintenance and reducing downtime. The use of AI in quality control allows for real-time monitoring and detection of defects, ensuring higher product quality and reducing waste. By integrating AI with human expertise, manufacturers can achieve higher levels of efficiency, productivity, and cost savings.
One of the driving forces behind the global augmented intelligence market growth is the advancement in natural language processing (NLP) and conversational AI. These technologies are enabling more natural and intuitive interactions between humans and machines. AI-powered chatbots and virtual assistants are becoming increasingly sophisticated, and capable of understanding and responding to complex queries in natural language. This is enhancing the user experience and expanding the use of AI in customer service, employee support, and other areas where human-machine interaction is essential.
The rise of edge computing is also influencing the augmented intelligence market development. Edge computing allows for data processing closer to the source of data generation, reducing latency and improving real-time decision-making capabilities. This is particularly important for applications that require immediate responses, such as autonomous vehicles, industrial automation, and healthcare monitoring. The integration of AI with edge computing is enabling more efficient and responsive augmented intelligence systems, expanding their applicability across various use cases.
Data privacy and security are critical considerations in the adoption of augmented intelligence. As organisations collect and analyse vast amounts of data, ensuring the privacy and security of this data is paramount. Regulatory frameworks such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States are imposing stringent requirements on data handling practices. Companies are investing in robust data security measures and transparent data governance practices to comply with these regulations and build trust with consumers.
The competitive landscape of the augmented intelligence market is characterised by a mix of established technology companies and innovative startups. Large tech companies such as IBM, Microsoft, and Google are investing heavily in AI research and development, offering comprehensive augmented intelligence solutions to various industries. Startups are also playing a crucial role, in driving innovation and developing niche applications for specific industries and use cases. Collaboration and partnerships between technology providers and industry players are common, enabling the co-creation of tailored augmented intelligence solutions.
Market Segmentation
The global augmented intelligence market can be divided based on component, type, device, technology, application, and region.Market Breakup by Component
- Software
- Hardware
Market Breakup by Type
- Market-Based
- Market-Less
- Location-Based AR
Market Breakup by Device
- Head-Mounted Display
- Head-Up Display
- Smart Glass
Market Breakup by Technology
- Monitor Based
- Mobile Based
- Near Eye
Market Breakup by Application
- Automotive
- Healthcare
- Military and Defence
- Education
- Retail
- Engineering
- Real Estate
- Entertainment
- Others
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Competitive Landscape
The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global augmented intelligence market. Some of the major players explored in the report are as follows:- Google LLC
- Microsoft Corporation
- PTC Inc.
- Epson America, Inc.
- Apple Inc.
- Lenovo Group Limited
- Other
Table of Contents
1 Preface2 Report Coverage - Key Segmentation and Scope4 Key Assumptions7 Opportunities and Challenges in the Market16 Key Trends and Developments in the Market
3 Report Description
5 Executive Summary
6 Market Snapshot
8 Global Augmented Intelligence Market Analysis
9 North America Augmented Intelligence Market Analysis
10 Europe Augmented Intelligence Market Analysis
11 Asia Pacific Augmented Intelligence Market Analysis
12 Latin America Augmented Intelligence Market Analysis
13 Middle East and Africa Augmented Intelligence Market Analysis
14 Market Dynamics
15 Competitive Landscape
List of Key Figures and Tables
Companies Mentioned
- Squirro AG
- Amazon Web Services Inc.
- Microsoft Corporation
- QlikTech International AB
- SAP SE
- Sisense Ltd.
- Oracle Corporation
- Salesforce Inc.
- Infor
- SAS Institute Inc.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 163 |
| Published | July 2024 |
| Forecast Period | 2024 - 2032 |
| Estimated Market Value ( USD | $ 27.24 Billion |
| Forecasted Market Value ( USD | $ 166.54 Billion |
| Compound Annual Growth Rate | 25.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
