Asia-Pacific Market Insights On Artificial Intelligent (Ai) In Education (2019–2025) To Attain Market Value Of Us$ 1,918.5 Million By 2025, Growing At A Cagr Of 53.22%
AI in education market in the Asia-Pacific region is anticipated to reach a market valuation of US$ 1,918.5 Million by 2025 expanding at a CAGR of 53.22% in the course of forecasted period (2018-2025), credited to increasing requirement of AI in the field of education, especially in the countries such as China, Singapore and Australia among other Asian countries. AI technology are facilitating the education providers to streamline administrative and education processes, thereby increasing efficiency and effectiveness of the outputs in form of improved performance of both students and teachers. AI is a way of making a computer an intelligent machine that work, think and act like humans being. This brings together the intelligence and thought process of humans with precision, accuracy and speed of computers. In the education sector, there has been a paradigm shift in the way students learn. This has been made possible by the use of AI in the education sector wherein inordinate amounts of data is used in a way that is beneficial in advanced learning through AI.
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The involvement of AI in education sector has become even more important because of changing face of job market. Job market is now more technology oriented. According to a report from IBM, Burning Glass and Business Higher Education Forum, the number of job openings for data and analytics talent will increase from 364,000 to 2,720,000 by 2020 globally. In USA alone, there are more than 10,000 positions available at top employers across the country and it is estimated to have 2,50,000 open data science jobs by 2024. Also, in EU, Canada and China, the demand for AI related jobs are not only in high demand, they offer more than the other jobs do. India is one of the emerging names in the market of AI hiring. It is expected that 60% of the rise in jobs this year is due to increasing adoption of automation and AI. The AI industry in India will require 50% more workforces equipped with digital and AI skills. With the increasing demand of technology driven workforce in the job market, preparing students for the same is likely be a central challenge for schools and educators. The educational institutes are expected to be at the forefront in bridging the gap. Owing to this, the educators are looking forward to adopting AI in education sector preparing students to become potential employees for a future AI-powered economies in the Asia-Pacific region.
Educators, students, parents and developers are all influenced by new ways of learning which then improves the quality of earning as well. Different AI technologies like machine learning, deep learning, neural network and natural language processing are facilitating the education sector. Machine learning can potentially redefine not only how education is delivered, but also foster quality learning on the students’ part. Probably the most important part of the role of machine learning in teaching is customized teaching. Machine learning promises to deliver custom in-class teaching by providing real-time feedback based on individual student behavior and other factors. This improves the chances of better learning. Machine learning also plays an important role in assessments or evaluations by removing biases.
To analyse company initiative for uplifting the AI technology in the Education Sector browse through: https://univdatos.com/report/asia-pacific-market-insights-on-artificial-intelligence-in-education-sector-insights-and-forecast-2019-2025
In the field of education, deep learning is focusing on making the traditional learning methods extinct via development of Learning Management System (LMS). LMS facilitates the teachers and students in creating personalized learning experiences through numerous features. The Asia-Pacific learning management systems market size is expected to generate US$2,884 million by 2022, growing at a CAGR of 34.2%. Natural language process is again an effective process to assist students in the process of scientific learning. Implementing NLP in the educational setting not only helps in developing effective language process, but it is also significant for enhancing the academic performance. The NLP techniques follow the approach of the natural process of language acquisition integrated with the scientific approach of using computer programs.
The AI in education sector is proving to be a requirement due to increasing level of innovation in the sector and ever-changing demand with time. The end user of this technology in education sector are various stakeholders of the sector like student, teachers, parents, administrative and support staff to name a few. School students are always connected, and learning, both on and off the school premises. The school leaders have now started to realize and have started using education technology involving AI to boost student engagement and retention. Schools have now started to opt for a strategic combination of the right devices for learning and teaching, as well as a robust infrastructure to support devices, protect and secure data, and give all access to data, content and apps. There are many AI based tool available to facilitate the school student in their education and learning process. As the job market is changing due to adoption of AI, its implications for higher education and society are paramount. If careers are changing, then it stands to reason that higher education needs to change along with it. Higher education finds itself at the very front of one of the most significant workplace shifts this century, and how it interprets and responds to that change to ensure everybody benefits will have a considerable impact not only on the global flow of students but the whole of society.
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Australia is one country that has successfully ridden waves of global economic turmoil with a resilience and optimism. High quality education and training has resulted in significant boosts to productivity and the development of skilled workforce that has been able to adapt to the changing nature of work. Australia’s reputation in delivering high quality education has long been recognized domestically and in international markets. These same credentials are being expected to be translated to AI and technology in education sector as well. With the growth and adoption of AI in education sector in the Asia-Pacific region, Singapore has also joined the league to facilitate the growth and development of AI in the sector. Global consultancy company Accenture reported that by 2035, AI is projected to help double the country’s economic growth rates and increase productivity by 41%, adding up to US$215 billion in gross value-add. China is one ambitious nation that has planned to become the world leader in AI research and deployment by 2030. The country’s Central Government made it clear that the country is focusing on expanding their research and development capabilities and find new ways to implement its use across every sector of their society including education sector. India is one of the most emerging market in the Asia-Pacific region. As per a research, there are more than 300 Indian startups that use AI in their core product offering. About 11% of them are based in the educational sphere.
Some of the major players of AI in education sector in the Asia-Pacific region profiled in the report includes Microsoft Corporation, Google, IBM Corporation, Qualcom, AT&T, Next IT, Siemens AG, Samsung, General Electric and SAP SE.
Market Insights, by Technology
- Machine learning
- Dep learning
- Natural Language Processing
- Neural networks
Market Insights, by End-Users
- K-12 Educational Institutions
- Higher Educational Institutions
Market Insights, by Country
- China AI in Healthcare Market Insights
- Japan AI in Healthcare Market Insights
- India AI in Healthcare Market Insights
- Singapore AI in Healthcare Market Insights
- Australia AI in Healthcare Market Insights
- Rest of APAC AI in Healthcare Market Insights
Top Companies Profiled
- Microsoft Corporation
- IBM Corporation
- Google LLC.
- SAP SE
- AT&T Inc.
- Siemens AG
- Samsung Electronics Co., Ltd
- Next IT Corporation
- General Electric Company
- Qualcomm Incorporated