AI in Education Market

AI in Education Market by Technology (Deep Learning and ML, NLP), Application (Virtual Facilitators and Learning Environments, ITS, CDS, Fraud and Risk Management), Component (Solutions, Services), Deployment, End-User, and Region - Global Forecast to 2023

Report Code: TC 6243 May, 2018, by marketsandmarkets.com

[151 Pages Report] AI refers to the theory and development of computer systems with the capability of performing repetitive tasks that require human intelligence. In the AI in education market, AI-enabled solutions and services perform various functions, such as knowledge delivery, grading and grouping of students on a performance basis, and intelligent tutorial systems to improve the learning experience of students and teachers.

AI technologies such as deep learning, machine learning, and NLP are applied to education and training software to improve performance and learning experience. AI technologies are implemented as per educational models such as the learner model, pedagogical model, and domain model to improve educational systems for better knowledge delivery and assessment.

The global AI in education market is projected to reach USD 3.68 billion by 2023, at a CAGR of 47% during the forecast period 2018 till 2023.

AI in Education Market

Natural language processing technology is expected to grow at a higher CAGR during the forecast period

The NLP technology is expected to grow at a higher CAGR compared to machine learning and deep learning technology type, during the forecast period. This high growth is attributed to the growing demand for virtual support in K-12 schools and universities, coupled with rising investments in advance technology by educational institutes. Furthermore, in the education industry, the utilization of NLP technology is increasing to help read the information stored in the digital format and understand the human languages from various data sets.

The virtual facilitators and learning environments application is projected to have the largest market size by 2023

The virtual facilitators and learning environments application is also referred to as the digital education learning technology. VLEs include knowledge delivery, academic mapping and planning of students, students’ engagement and administration, and real-time communication and collaboration. The AI-enabled virtual facilitator acts as instructor support, a mentor for students, and a multilingual translator. These AI-enabled facilitators and environments satisfy individuals’ learning requirements of independent educational programs and home-based education. Additionally, virtual environments enable students to solve complicated real-time social problems using multiple disciplines and principles related to social development. Virtual facilitators and learning environments use simulation, games, and AI technology to encourage students and enhance their learning experience to gain and improve their knowledge level.

AI in Education Market

Services component is expected to grow at a higher CAGR during the forecast period, as the demand for AI-enabled solutions and services has increased in educational enterprises due to the growing government support and technological advancements.

APAC is expected to grow at the highest CAGR during the forecast period. This is attributed to a huge number of end-users utilizing education devices, thus leading to the increased demand for more AI-enabled solutions and services in this region.

AI in Education Market

Market Dynamics

Driver: AI technology enhancing and improving teachers’ and students’ experience and knowledge level

AI technology vendors are developing AI-enabled electronic devices by designing advanced learning programs that improve learning processes. Educational institutes need to offer the best learning experience to sustain in the competitive world. For instance, Century Intelligent Learning developed a classroom using the AI technology that enables teachers to develop academic syllabus online, so that students can access their syllabus at any time. Additionally, the AI technology is used to identify loopholes in knowledge and recommend students subjects that he/she should choose, depending on the results of the aptitude test given by him/her. These questions are analyzed by AI technology to find the strengths and weaknesses of students. AI-enabled solutions and services for the education sector improve teachers as well as students’ experience and knowledge level. These solutions and services help teachers and parents understand their learners’ performance.

Restraint:  Slow digitalization rate affecting the adoption of the AI technology in emerging economies

Due to the lack of funds for the basic requirements of IT infrastructures in developing countries, AI-enabled deployments are completely dependent on available IT infrastructures, data, and Internet of Things (IoT) devices for capturing instances to generate accurate results. AI technological developments, cloud infrastructures, big data, and organized data filing play a vital role in the successful utilization of AI platforms in the education sector. Furthermore, the implementation of AI-enabled solutions in the education sector comprises online as well as offline environments to produce an effective outcome. The technical adaptability is witnessed greatly in developed countries; however, the emerging economies are expected to witness slow growth rate in terms of digitalization, thereby resulting in the slow growth rate of the AI in education market.

Opportunity: Growing demand for AI technology to enhance education systems

Nowadays, classroom sizes are rapidly increasing, as a result, interactions between students and teachers are limited. AI technology is useful to analyze a huge number of data points for analyzing the performance of students. AI technology is transforming traditional educational processes by improving relationships between corporations and educational institutes. This technology sophisticates the processes of educational institutes.

AI tools are developed using AI platforms for institutes and universities. These tools enable them to gain expertise in solving students’ academic requirements and problems. This software would be able to provide the improved performance and productivity of students over the years. All these factors are expected to fuel a rise in the demand for intelligent business processes, which in turn, act as opportunities for the growth of the global AI in the education market.

Challenge:  Lack of appropriateness of AI-enabled assessment processes

Assessment processes include various types of questions such as true/false, fill in the blanks, multiple-choice questions, short answers, and essays. AI-enabled assessment software is unable to properly assess descriptive answers for each student, as these answers require logical thinking, situational judgment, and content accuracy. Currently, the solutions are undergoing improvements to provide accurate results. The key to cater to this challenge would be to recognize the nature of disorders, the level of AI technology to select appropriate assessments and the training tools for desired outcomes.

Scope of the Report

Report Metric

Details

Market size available for years

2016–2023

Base year considered

2017

Forecast period

2018–2023

Forecast units

USD million

Segments covered

Technology, Application, Component, Deployment Mode, End-User, and Region

Geographies covered

North America (US, Canada), APAC (China, Japan, Singapore, Rest of APAC), Europe (UK, Germany, Switzerland, Rest of Europe), MEA (UAE, South Africa, Qatar, Rest of MEA), and Latin America (Brazil, Mexico, Rest of Latin America)

Companies covered

IBM (US), Microsoft (US), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar (US), Knewton (US), Metacog (US), Querium Corporation (US), Google (US), AWS (US), Cognizant (US), Carnegie Learning (US), Century-Tech (UK), Cognii (US), Elemental Path (US), Liulishuo (China), Nuance Communications (US), Osmo (US), Pearson (UK), Third Space Learning (UK), Quantum Adaptive Learning (US), ALEKS (US), and Blackboard (US)

The market is segmented on the basis of technologies, applications, components (solutions and services), deployment modes, end-users, and regions:

By Technology

  • Deep Learning and Machine Learning
  • Natural Language Processing (NLP)

By Application

  • Virtual Facilitators and Learning Environments
  • Intelligent Tutoring Systems (ITS)
  • Content Delivery Systems
  • Fraud and Risk Management
  • Student-initiated learning
  • Others (education data management, job recommendation, and training and development)

By Component

  • Solutions
    • Software tools
    • Platforms
  • Services
    • Professional services
    • Managed services

By Deployment Mode

  • Cloud
  • On-premises

By End-User

  • Educational Institutes
  • Educational Publishers
  • Others (Massive Open Online Courses (MOOCs), Virtual Learning Environments (VLEs), computer-based tests, adaptive learning, and immersive learning)

By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • The Middle East and Africa (MEA)
  • Latin America

Key Market Players

IBM (US), Microsoft (US), Google (US), Pearson (UK), AWS (US)

Please visit 360Quadrants to see the vendor listing of Best Language Learning Software Quadrant

Recent Developments

  • In April 2018, Amazon partnered with Edhesive, a provider of computer science curriculum to schools. As per the partnership, AWS would sponsor schools to implement Edhesive’s curriculum.
  • In March 2018, Microsoft made enhancements to its Cognitive Services tools such as Bing Entity Search, Face API, and Microsoft Custom Vision Service. The addition of new cloud-hosted APIs would help developers easily add AI capabilities to various applications.
  • In February 2018, Google launched Learn with Google, an AI website to provide and support education in the field of AI.
  • In February 2018, Pearson partnered with Microsoft Research Asia (MSRA) for 3 years to integrate AI capabilities into market-leading English language learning curriculum.
  • In March 2017, IBM partnered with Salesforce, whereby both the companies would work together to sell IBM Watson and Salesforce Einstein services. With this partnership, both companies would combine Watson's capabilities with Einstein to engage more customers.

Critical questions the report answers:

  • What are the major factors influencing the growth of the AI in education market?
  • Which key developments are expected to have a long-term impact on the market?
  • Which end-user segment is expected to witness maximum growth opportunities during the forecast period?
  • Who are the key players operating in the market, and what are the factors contributing to their domination over other players?
  • What are the upcoming hot bets in this market?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 20)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 31)
    4.1 Attractive Opportunities in the AI in Education Market
    4.2 Market Top 3 Applications
    4.3 Market Top 3 Applications and Regions
    4.4 Market Potential, By Region
    4.5 Market By Deployment
    4.6 Market By Region

5 Market Overview and Industry Trends (Page No. - 35)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 AI Technology Enhancing and Improving Teachers’ and Students’ Experience and Knowledge Level
                    5.2.1.2 Increasing Adoption of the AI Technology for Various Applications in the Education Sector
                    5.2.1.3 Growing Need for Multilingual Translators Integrated With the AI Technology
           5.2.2 Restraints
                    5.2.2.1 Slow Digitalization Rate Affecting the Adoption of the AI Technology in Emerging Economies
           5.2.3 Opportunities
                    5.2.3.1 Increasing Investments in the Education Sector
                    5.2.3.2 Growing Demand of the AI Technology for Enhancing Education Systems
           5.2.4 Challenges
                    5.2.4.1 Lack of Appropriateness of Ai-Enabled Assessment Processes
                    5.2.4.2 Insufficient Skills of Students and Teachers
    5.3 Use Cases and Regulatory Implications
           5.3.1 Introduction
           5.3.2 AI in Education Market: Use Cases
                    5.3.2.1 Use Case: Scenario 1
                    5.3.2.2 Use Case: Scenario 2
                    5.3.2.3 Use Case: Scenario 3
                    5.3.2.4 Use Case: Scenario 4
    5.4 Regulatory Implications
           5.4.1 Introduction
           5.4.2 Right to Education
           5.4.3 National Science Education Standards
           5.4.4 International Standard Classification of Education
           5.4.5 European Network for Quality Assurance in Higher Education
           5.4.6 Australian Education Act
           5.4.7 Education Services for Overseas Students Act (ESOS)
           5.4.8 Fundamental Law of Education
           5.4.9 Compulsory Education Law of the People's Republic of China
           5.4.10 South African Schools Act, No. 84 of 1996
           5.4.11 The Education Act 2011
           5.4.12 Every Student Succeeds Act

6 Educational Models (Page No. - 41)
    6.1 Introduction
    6.2 Learner Model
    6.3 Pedagogical Model
    6.4 Domain Model

7 AI in Education Market, By Technology (Page No. - 42)
    7.1 Introduction
    7.2 Machine Learning and Deep Learning
    7.3 Natural Language Processing

8 AI in Education Market, By Application (Page No. - 46)
    8.1 Introduction
    8.2 Virtual Facilitators and Learning Environments
    8.3 Intelligent Tutoring Systems
    8.4 Content Delivery Systems
    8.5 Fraud and Risk Management
    8.6 Others

9 AI in Education Market, By Component (Page No. - 52)
    9.1 Introduction
    9.2 Solutions
           9.2.1 Software Tools
           9.2.2 Platforms
    9.3 Services
           9.3.1 Professional Services
           9.3.2 Managed Services

10 AI in Education Market, By Deployment Mode (Page No. - 59)
     10.1 Introduction
     10.2 Cloud
     10.3 On-Premises

11 AI in Education Market, By End-User (Page No. - 63)
     11.1 Introduction
     11.2 Educational Institutes
     11.3 Educational Publishers
     11.4 Others

12 Geographic Analysis (Page No. - 68)
     12.1 Introduction
     12.2 North America
             12.2.1 United States
             12.2.2 Canada
     12.3 Europe
             12.3.1 United Kingdom
             12.3.2 Germany
             12.3.3 Switzerland
             12.3.4 Rest of Europe
     12.4 Asia Pacific
             12.4.1 China
             12.4.2 Japan
             12.4.3 Singapore
             12.4.4 Rest of APAC
     12.5 Latin America
             12.5.1 Brazil
             12.5.2 Mexico
             12.5.3 Rest of Latin America
     12.6 Middle East and Africa
             12.6.1 United Arab Emirates
             12.6.2 South Africa
             12.6.3 Qatar
             12.6.4 Rest of Mea

13 Competitive Landscape (Page No. - 97)
     13.1 Overview
     13.2 Top Players Operating in the AI in Education Market
     13.3 Competitive Scenario
             13.3.1 New Product/Service Launches and Product/Service Enhancements
             13.3.2 Agreements and Partnerships
             13.3.3 Acquisitions

14 Company Profiles (Page No. - 102)
     14.1 Introduction
(Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View)*
     14.2 Google
     14.3 IBM
     14.4 Pearson
     14.5 Microsoft
     14.6 AWS
     14.7 Nuance Communications
     14.8 Cognizant
     14.9 OSMO
     14.10 Quantum Adaptive Learning
     14.11 Querium Corporation
     14.12 Third Space Learning
     14.13 Aleks
     14.14 Blackboard
     14.15 Bridgeu
     14.16 Carnegie Learning
     14.17 Century
     14.18 Cognii
     14.19 Dreambox Learning
     14.20 Elemental Path
     14.21 Fishtree
     14.22 Jellynote
     14.23 Jenzabar
     14.24 Knewton
     14.25 Luilishuo
     14.26 Metacog

*Details on Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. - 142)
     15.1 Industry Excerpts
     15.2 Discussion Guide
     15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.4 Available Customizations
     15.5 Related Reports
     15.6 Author Details


List of Tables (84 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Global Market Size and Growth Rate, 2016–2023
Table 3 AI in Education Market Size, By Technology, 2016–2023 (USD Million)
Table 4 Machine Learning and Deep Learning: Market Size By Region, 2016–2023 (USD Million)
Table 5 Natural Language Processing: Market Size By Region, 2016–2023 (USD Million)
Table 6 AI in Education Market Size, By Application, 2016–2023 (USD Million)
Table 7 Virtual Facilitators and Learning Environments: Market Size By Region, 2016–2023 (USD Million)
Table 8 Intelligent Tutoring Systems: Market Size By Region, 2016–2023 (USD Million)
Table 9 Content Delivery Systems: Market Size By Region, 2016–2023 (USD Million)
Table 10 Fraud and Risk Management: Market Size By Region, 2016–2023 (USD Million)
Table 11 Others: Market Size By Region, 2016–2023 (USD Million)
Table 12 AI in Education Market Size, By Component, 2016–2023 (USD Million)
Table 13 Solutions: Market Size By Type, 2016–2023 (USD Million)
Table 14 Software Tools Market Size, By Region, 2016–2023 (USD Million)
Table 15 Platforms Market Size, By Region, 2016–2023 (USD Million)
Table 16 Services: Market Size By Type, 2016–2023 (USD Million)
Table 17 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 18 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 19 AI in Education Market Size, By Deployment Mode, 2016–2023 (USD Million)
Table 20 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 21 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 22 AI in Education Market Size, By End-User, 2016–2023 (USD Million)
Table 23 Educational Institutes: Market Size By Region, 2016–2023 (USD Million)
Table 24 Educational Publishers: Market Size By Region, 2016–2023 (USD Million)
Table 25 Others: Market Size By Region, 2016–2023 (USD Million)
Table 26 AI in Education Market Size, By Region, 2016–2023 (USD Million)
Table 27 Internet Users in North America, 2017–2023 (Million)
Table 28 Mobile Connections in North America, 2017–2023 (Million)
Table 29 Smartphone Users in North America, 2017–2023 (Million)
Table 30 North America: AI in Education Market Size, By Country, 2016–2023 (USD Million)
Table 31 North America: Market Size By Technology, 2016–2023 (USD Million)
Table 32 North America: Market Size By Application, 2016–2023 (USD Million)
Table 33 North America: Market Size By Component, 2016–2023 (USD Million)
Table 34 North America: Market Size By Solution, 2016–2023 (USD Million)
Table 35 North America: Market Size By Service, 2016–2023 (USD Million)
Table 36 North America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 37 North America: Market Size By End-User, 2016–2023 (USD Million)
Table 38 Internet Users in Europe Region, 2017-2022 (Million)
Table 39 Mobile Connections in Europe Region, 2017-2022 (Million)
Table 40 Smartphone Users in Europe Region, 2017-2022 (Million)
Table 41 Europe: AI in Education Market Size, By Country, 2016–2023 (USD Million)
Table 42 Europe: Market Size By Technology, 2016–2023 (USD Million)
Table 43 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Component, 2016–2023 (USD Million)
Table 45 Europe: Market Size By Solution, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 47 Europe: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 48 Europe: Market Size By End-User, 2016–2023 (USD Million)
Table 49 Internet Users in Asia Pacific, 2017–2023 (Million)
Table 50 Mobile Connections in Asia Pacific, 2017–2023 (Million)
Table 51 Smartphone Users in Asia Pacific, 2017–2023 (Million)
Table 52 Asia Pacific: AI in Education Market Size, By Country, 2016–2023 (USD Million)
Table 53 Asia Pacific: Market Size By Technology, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 55 Asia Pacific: Market Size By Component, 2016–2023 (USD Million)
Table 56 Asia Pacific: Market Size By Solution, 2016–2023 (USD Million)
Table 57 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 58 Asia Pacific: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 59 Asia Pacific: Market Size By End-User, 2016–2023 (USD Million)
Table 60 Internet Users in Latin America, 2017–2023 (Million)
Table 61 Mobile Connections in Latin America, 2017–2023 (Million)
Table 62 Smartphone Users in Latin America, 2017–2023 (Million)
Table 63 Latin America: AI in Education Market Size, By Country, 2016–2023 (USD Million)
Table 64 Latin America: Market Size By Technology, 2016–2023 (USD Million)
Table 65 Latin America: Market Size By Application, 2016–2023 (USD Million)
Table 66 Latin America: Market Size By Component, 2016–2023 (USD Million)
Table 67 Latin America: Market Size By Solution, 2016–2023 (USD Million)
Table 68 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 69 Latin America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 70 Latin America: Market Size By End-User, 2016–2023 (USD Million)
Table 71 Internet Users in Middle East and Africa, 2017–2023 (Million)
Table 72 Smartphone Users in Middle East and Africa, 2017–2023 (Million)
Table 73 Middle East and Africa: AI in Education Market Size, By Country, 2016–2023 (USD Million)
Table 74 Middle East and Africa: Market Size By Technology, 2016–2023 (USD Million)
Table 75 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 76 Middle East and Africa: Market Size By Component, 2016–2023 (USD Million)
Table 77 Middle East and Africa: Market Size By Solution, 2016–2023 (USD Million)
Table 78 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 79 Middle East and Africa: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 80 Middle East and Africa: Market Size By End-User, 2016–2023 (USD Million)
Table 81 Market Ranking for AI in Education Market, 2018
Table 82 New Product/Service Launches and Product/Service Enhancements, 2016–2018
Table 83 Agreements and Partnerships, 2016–2018
Table 84 Acquisitions, 2016–2018


List of Figures (55 Figures)

Figure 1 Global AI in Education Market Segmentation
Figure 2 Global AI in Education Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 North America is Estimated to Have the Largest Market Share in 2018
Figure 8 AI in Education Market Snapshot, By Technology, 2017
Figure 9 Market Snapshot By Application, 2017
Figure 10 Market Snapshot By Component, 2017
Figure 11 Market Snapshot By Solution, 2017
Figure 12 Market Snapshot By Service, 2017
Figure 13 Market Snapshot By Deployment Mode, 2017
Figure 14 Market Snapshot By End-User, 2017
Figure 15 The Global AI in Education Market is Expected to Witness Significant Growth During the Forecast Period
Figure 16 Virtual Facilitators and Learning Environments Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 17 Virtual Facilitators and Learning Environments Application and North America Region are Estimated to Have the Largest Market Shares in the AI in Education Market in 2018
Figure 18 Asia Pacific is Expected to Register the Highest CAGR During the Forecast Period
Figure 19 Services Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 20 North America Region is Estimated to Have the Largest Market Share in 2018
Figure 21 Market Investment Scenario: Asia Pacific is Expected to Be the Best Region for Investment During the Forecast Period
Figure 22 AI in Education Market: Drivers, Restraints, Opportunities, and Challenges
Figure 23 Natural Language Processing Technology is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 24 Virtual Facilitators and Learning Environments Application is Expected to Witness the Highest CAGR During the Forecast Period
Figure 25 Services Component is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Platforms Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 27 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 28 Cloud Deployment Mode is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 29 Educational Institutes End-User is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 30 North America is Estimated to Account for the Largest Market Size in 2018
Figure 31 Asia Pacific is Expected to Register the Highest CAGR During the Forecast Period
Figure 32 North America: Market Snapshot
Figure 33 North America: AI in Education Market, By Application
Figure 34 Europe: Market By Application
Figure 35 Asia Pacific: Market Snapshot
Figure 36 Asia Pacific: Market By Application
Figure 37 Latin America: Market By Application
Figure 38 Middle East and Africa: Market By Application
Figure 39 Key Developments By Leading Players in the AI in Education Market During 2016–2018
Figure 40 Market Evaluation Framework: Significant Business Strategies Have Fueled the Growth of the AI in Education Market
Figure 41 Geographic Revenue Mix of the Top 3 Market Players
Figure 42 Google: Company Snapshot
Figure 43 Google: SWOT Analysis
Figure 44 IBM: Company Snapshot
Figure 45 IBM: SWOT Analysis
Figure 46 Pearson: Company Snapshot
Figure 47 Pearson: SWOT Analysis
Figure 48 Microsoft: Company Snapshot
Figure 49 Microsoft: SWOT Analysis
Figure 50 AWS: Company Snapshot
Figure 51 AWS: SWOT Analysis
Figure 52 Nuance Communications: Company Snapshot
Figure 53 Nuance Communications: SWOT Analysis
Figure 54 Cognizant: Company Snapshot
Figure 55 Cognizant: SWOT Analysis


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Report Code
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Published ON
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