Pune, Maharashtra -- (SBWIRE) -- 08/29/2023 -- HTF MI introduces new research on Artificial Intelligence (AI) in Education covering the micro level of analysis by competitors and key business segments (2023-2029). The Artificial Intelligence (AI) in Education explores a comprehensive study of various segments like opportunities, size, development, innovation, sales, and overall growth of major players. The research is carried out on primary and secondary statistics sources and it consists of both qualitative and quantitative detailing. Some of the major key players profiled in the study are Google (United States), IBM (United States), Pearson (United Kingdom), Microsoft (United States), AWS (United States), Nuance (United States), Cognizant (United States), Metacog (United States), Quantum Adaptive Learning (United States), Querium (United States).

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On the off chance that you are engaged with the industry or expect to be, at that point this investigation will give you a complete perspective. It's crucial you stay up with the latest sectioned by Applications [Virtual Facilitators and Learning Environments, Intelligent Tutoring Systems, Content Delivery Systems, Fraud and Risk Management], Product Types [Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Machine Reasoning] and some significant parts of the business.

Definition:
The Artificial Intelligence (AI) in education market refers to the application of artificial intelligence technologies, including machine learning, natural language processing, and data analytics, to enhance and transform various aspects of the education sector. AI technologies are integrated into educational tools, platforms, and systems to create more personalized, adaptive, and efficient learning experiences for students, educators, and educational institutions. AI algorithms analyze individual student's learning patterns, strengths, and weaknesses to provide customized learning pathways and content. AI-powered platforms adjust the difficulty and pace of learning materials based on each student's progress, optimizing the learning process. AI-driven virtual assistants provide students with instant responses to queries, offer guidance, and support administrative tasks. AI-based tools can assess and grade assignments, quizzes, and exams, providing timely feedback to students and saving educator's time.

Market Trends:

- AI enables the delivery of personalized learning experiences tailored to individual student needs, promoting engagement and better understanding of complex concepts.
- AI-powered gamification and virtual reality (VR) experiences are being used to create interactive and engaging learning environments.
- AI analytics provide educators and administrators with insights into student performance, enabling data-driven instructional strategies.

Market Drivers:

- AI's ability to adapt to individual needs can lead to improved student engagement, comprehension, and performance.
- The ongoing digital transformation of education systems is driving the integration of AI to modernize teaching and learning methods.
- AI's data analysis capabilities help educators understand student behavior, identify trends, and make informed decisions.

Market Opportunities:

- The demand for customized learning experiences presents an opportunity for AI-driven platforms to cater to diverse learning styles and paces.
- AI can streamline administrative tasks for educators, freeing up their time for more impactful teaching activities.
- AI-enabled online education platforms can provide quality education to learners globally, especially in remote or underserved areas.

Which market aspects are illuminated in the report?

Executive Summary: It covers a summary of the most vital studies, the Artificial Intelligence (AI) in Education market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis: Covers major companies, vital market segments, and the scope of the products offered in the Artificial Intelligence (AI) in Education market, the years measured, and the study points.

Company Profile: Each Firm well-defined in this segment is screened based on a product's, value, SWOT analysis, ability, and other significant features.

Manufacture by region: This Artificial Intelligence (AI) in Education report offers data on imports and exports, sales, production, and key companies in all studied regional markets

Highlighted of Artificial Intelligence (AI) in Education Market Segments and Sub-Segment:

Artificial Intelligence (AI) in Education Market by Key Players: Google (United States), IBM (United States), Pearson (United Kingdom), Microsoft (United States), AWS (United States), Nuance (United States), Cognizant (United States), Metacog (United States), Quantum Adaptive Learning (United States), Querium (United States)

Artificial Intelligence (AI) in Education Market by Types: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Machine Reasoning

Artificial Intelligence (AI) in Education Market by End-User/Application: Virtual Facilitators and Learning Environments, Intelligent Tutoring Systems, Content Delivery Systems, Fraud and Risk Management

Artificial Intelligence (AI) in Education Market by Geographical Analysis:
- APAC (Japan, China, South Korea, Australia, India, and the Rest of APAC; the Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
- Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
- North America (U.S., Canada, and Mexico)
- South America (Brazil, Chile, Argentina, Rest of South America)
- MEA (Saudi Arabia, UAE, South Africa)

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The study is a source of reliable data on Market segments and sub-segments, Market trends and dynamics Supply and demand Market size Current trends/opportunities/challenges Competitive landscape Technological innovations Value chain, and investor analysis.

Interpretative Tools in the Market: The report integrates the entirely examined and evaluated information of the prominent players and their position in the market by methods for various descriptive tools. The methodical tools including SWOT analysis, Porter's five forces analysis, and investment return examination were used while breaking down the development of the key players performing in the market.

Key Growths in the Market: This section of the report incorporates the essential enhancements of the marker that contains assertions, coordinated efforts, R&D, new item dispatch, joint ventures, and associations of leading participants working in the market.

Key Points in the Market: The key features of this Artificial Intelligence (AI) in Education market report includes production, production rate, revenue, price, cost, market share, capacity, capacity utilization rate, import/export, supply/demand, and gross margin. Key market dynamics plus market segments and sub-segments are covered.

Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
- Political (Political policy and stability as well as trade, fiscal, and taxation policies)
- Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
- Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
- Technological (Changes in digital or mobile technology, automation, research, and development)
- Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)

- Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

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