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The augmented intelligence market size is forecast to increase by USD 61.3 billion, at a CAGR of 33.1% between 2023 and 2028. Augmented Intelligence (IA) is revolutionizing business operations by amplifying human intelligence with advanced technologies such as Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Virtual Assistants. IA is increasingly being adopted by enterprises to enhance decision-making capabilities and improve business outcomes. The implementation of IA in Business Intelligence (BI) tools is a significant trend, enabling organizations to derive insights from Big Data and perform predictive analytics. However, the shortage of IA experts poses a challenge to the widespread adoption of these technologies. ML and DL algorithms are integral to IA, enabling systems to learn and make decisions autonomously. NLP is used to understand human language and interact with virtual assistants, while Big Data and Data Analytics provide the foundation for IA applications. Predictive analytics is a key benefit of IA, enabling organizations to anticipate future trends and make informed decisions. IA is transforming various industries, including healthcare, finance, and retail, by augmenting human intelligence and automating routine tasks.
Augmented Intelligence (IA), also known as Intelligence Amplification, refers to the use of advanced technologies such as machine learning (ML), deep learning (DL), and natural language processing (NLP) to support and enhance human intelligence. IA systems are designed to process vast amounts of data and provide insights that would be difficult or impossible for humans to identify on their own. Key Technologies: Machine Learning and Deep Learning are at the core of IA systems. ML algorithms learn from data and improve their performance over time, while DL algorithms can identify complex patterns and relationships within data. NLP enables computers to understand human language, enabling more effective communication between humans and machines. Applications: IA is being adopted across various industries, including streaming video services, factory automation, political think tanks, medical analysis, and more. In factory automation, IA systems are used to optimize production processes and improve quality control. In medical analysis, IA is used to analyze patient data and provide doctors with accurate diagnoses and treatment recommendations. In political think tanks, IA is used to analyze large datasets and identify trends and patterns. Data Processing: IA systems rely on big data and data analytics to function effectively. Predictive analytics is a key application of IA, allowing organizations to make informed decisions based on data trends and patterns.
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
The machine learning segment is estimated to witness significant growth during the forecast period. Augmented Intelligence, also known as Intelligence Amplification, is a technology that enhances human intelligence by integrating Machine Learning (ML), Deep Learning, Natural Language Processing, and other advanced technologies. ML is a subset of this technology, which enables computers to learn from data using specific algorithms. These programs can adapt and improve their performance without human intervention.
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The machine learning segment was the largest and was valued at USD 4.10 billion in 2018. In today's data-driven business environment, the need for intelligent approaches to data analysis is crucial. Decision-makers require systems that can process vast amounts of data and provide valuable insights to inform decision-making. ML algorithms are trained on big data to perform specific tasks, such as predictive analytics and data analytics. Virtual Assistants, powered by Augmented Intelligence, can help businesses make sense of complex data by asking the right questions and providing insights that support informed decision-making. Hence, such factors are fuelling the growth of this segment during the forecast period.
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North America is estimated to contribute 56% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. Augmented Intelligence technology is gaining significant traction in North America, particularly in sectors such as banking, e-commerce and retail, IT and telecom, and more. The increasing demand for data-driven decisions with minimal human intervention is fueling the growth of this technology.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
Rise in adoption of augmented intelligence by enterprises to gain the best outcome is notably driving market growth. Augmented intelligence, a technology that enhances human intelligence by automating tasks and providing real-time assistance, continues to gain traction in various industries, including retail, healthcare, e-commerce, finance, manufacturing, IT, and telecom. This technology has become increasingly important for businesses seeking to streamline processes, boost productivity, and minimize human error. One of the primary ways augmented intelligence supports businesses is through automating workflows and enhancing workplace productivity.
Administrative and routine tasks that consume significant time and resources can be efficiently handled using augmented intelligence, enabling employees to focus on more complex tasks. By integrating AI applications into enterprise software, businesses can write code and perform math calculations more accurately and efficiently than humans. Autonomous AI, a subset of augmented intelligence, can even replace human intelligence in certain tasks, freeing up human resources for more strategic initiatives. Thus, such factors are driving the growth of the market during the forecast period.
Implementation of augmenting analytics in business intelligence tools is the key trend in the market. Augmented analytics represents the next wave of disruption in the data and analytics market, enhancing data analytics, data sharing, and business intelligence. Data and analytics professionals integrate AI components into their existing business models using augmented analytics platforms. This integration streamlines processes such as data understanding, insight discovery, data ingestion, and platform interaction, making them more powerful in a self-service environment.
Natural language processing and AI elements are incorporated into the business intelligence process through augmented analytics, improving the user experience. User interfaces of AI systems become more intuitive, enabling users to develop data, identify new insights, and effortlessly share them with colleagues. Control rooms, self-driving cars, and autonomous vehicles are just a few examples of industries that can benefit from augmented analytics. Thus, such trends will shape the growth of the market during the forecast period.
Shortage of augmented intelligence experts is the major challenge that affects the growth of the market. Augmented Intelligence is a technology that enhances human capabilities by providing context-aware suggestions and insights. Unlike Artificial Intelligence, which aims to replicate human intelligence, Augmented Intelligence is designed to complement and improve human decision-making. However, implementing this technology comes with challenges.
Machine learning and simulation tools require substantial investments in data management, infrastructure, and processing power. Finding a team of experts with the necessary skills to implement and manage these systems is also a challenge. Before scaling up, companies must carefully consider the use cases and contexts where Augmented Intelligence can add the most value. Hence, the above factors will impede the growth of the market during the forecast period.
The market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Alphabet Inc: The company is leading the way in the development and implementation of augmented intelligence solutions, enabling businesses to stay competitive in the ever-evolving technological landscape.
The market research and growth report also includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Augmented Intelligence (IA) is revolutionizing the way machines and humans collaborate in processing and analyzing data. IA goes beyond traditional Artificial Intelligence (AI) by amplifying human intelligence through machine learning, deep learning, natural language processing, and predictive analytics. IA systems learn from data and provide insights, enabling data scientists to make more informed decisions. IA is not about replacing human intelligence but rather enhancing it. It complements human ability by executing tasks, performing analysis, and making decisions. Machine learning algorithms, with their ability to learn from data, improve accuracy and safety in various industries such as factory automation, political think tanks, and medical analysis. IA systems are not limited to data processing but also include virtual assistants and autonomous systems.
They learn from user viewing habits, bias, fatigue, and distraction to provide a symbiotic relationship. IA is used in enterprise software to streamline business processes, manage data, and manage risks. It is also used in self-driving cars, autonomous vehicles, and control rooms to manage unforeseen issues. IA systems are different from AI systems as they focus on improving human decision-making and executing tasks, while AI systems aim to replace human roles. IA tools think, learn, and adapt, enabling human oversight and managing risks. IA systems are essential in a world where data-driven decisions are increasingly common.
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Market Scope |
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Report Coverage |
Details |
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Page number |
146 |
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Base year |
2023 |
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Historic period |
2018 - 2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 33.1% |
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Market Growth 2024-2028 |
USD 61.3 billion |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
24.9 |
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Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
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Performing market contribution |
North America at 56% |
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Key countries |
US, UK, China, Japan, and India |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
Alibaba Cloud, Alphabet Inc., Amazon.com Inc., Baidu Inc., Cisco Systems Inc., Meta Platforms Inc., General Vision Inc., Graphcore Ltd., Hewlett Packard Enterprise Co., Huawei Technologies Co. Ltd., iFLYTEK Co. Ltd., Intel Corp., International Business Machines Corp., Microsoft Corp., NVIDIA Corp., Oracle Corp., Salesforce Inc., Samsung Electronics Co. Ltd., SAP SE, SAS Institute Inc., and Siemens AG |
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Market dynamics |
Parent market analysis, market report, market forecast, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for the forecast period |
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Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Technology
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Opportunity/Restraints
10 Competitive Landscape
11 Competitive Analysis
12 Appendix
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