Middle East and North Africa AI Software Market Analysis and Forecast 2019-2028
- Report ID: 56111
- Date: Dec, 2022
- Pages: 110
- Category: ICT & Media
Middle East and North Africa AI Software Market Analysis and Forecast 2019-2028
The MENA AI Software market is expected to grow with a robust CAGR of more than 24% during the period 2019-2028. The cost benefits from automation, leaping advancement in deep learning leading to diverse use cases across industries, and increasing adaption of IoT technology and AI -based applications in everyday life are some major drivers fueling the growth of the AI market globally.
Rising jobs in the data science, AI, and ML fields are a clear indication of the fast-growing industry. AI has gained popularity across industries such as marketing, sales, manufacturing, business management, BFSI, and others. It enables the user to boost efficiency without impacting its quality resulting in lower costs, better time management, and lesser supervisory requirements.
AI is now being used in complex processes such as surgeries. Robots have now been performing complex medical surgeries with the help of artificial intelligence which has proved to be quite a successful endeavor as they are less likely to commit errors and can calculate the potential decision that has to be taken in relevance to a given situation quickly.
The retail sector is employing AI at a large scale to boost customer experience and understand customer preferences better resulting in better demand forecasting and inventory optimization which has been a boon to this sector. The unknown facet of advanced logic and intelligence in AI, AI spurred job loss, high initial investment cost, and lack of expertise in terms of implementing AI solutions are the key restraints that hamper the growth of this industry.
Market Segmentation
MEA AI Software Market has been analyzed on the basis of type, deployment, end user, and region. On the basis of type, the market is segmented into AI applications, AI systems infrastructure software, AI platforms. AI applications are further segmented into AI ERP, AI CRM, Rest of the AI Apps. Based on deployment the market is divided into On-premise and Cloud. On the basis of end user, the market is segmented into Manufacturing, Natural Resources and Material (Oil & Gas and Mining), Telecom, Media & Services, Consumer Goods & Retail, Healthcare & Life Sciences, Automobile & Transportation, BFSI, Energy, and Others (Government, Trade etc.).
On the basis of region, the market is segmented into GCC, Turkey, North Africa and Rest of ME. Rest of ME is further segmented into Israel and Iraq. North Africa is further segmented into Egypt, Morocco, Algeria, Rest of North Africa. UAE is dominating the MENA AI software market.
Market Structure and Competitive Landscape
The MENA AI software market is fragmented in nature with the presence of various players operating in the market. Some of the prominent players operate in the MENA AI software market include Amazon, IBM, Microsoft, Oracle, NEXTracker, DRUID, NVIDIA Corp., Group 42, Palantir Technologies Inc., Applied Artificial Intelligence Corporation, SAS Institute Inc., Axilion Smart Mobility Ltd., Mobileye, Moovit, Splash Software, Capterra Inc., Appinventiv, and Fusion Informatics Limited among others.
These players adopt various strategies such as mergers and acquisitions, partnership and collaboration, and product launches which further helps the MENA AI software market to gain significant growth.
• In 2019, Apple Inc, acquired laser-like, a small silicon based machine learning startup to strengthen its QI efforts.
MENA AI Software Market Analysis and Forecast 2019-2028
Table of Contents
1. Market Introduction
1.1. Scope of Study
1.2. Problem Statement
1.3. Market Segmentation
2. Assumptions and Acronyms
3. Executive Summary
3.1. MENA Market in 2022
3.2. Analyst Insights & Recommendations
3.3. Growth Opportunities and Key Strategies
3.4. Supply-side and Demand-side Trends
4. Research Methodology
5. Analysis of COVID-19 Impact and Road Ahead
6. Market Indicators and Background
6.1. Macro-Economic Factors
6.2. Forecasting Factors
Robust assessment of various factors including industrial performance, industry players’ expenditures, and economic conditions, among others
6.3. Supply Chain & Value Chain Analysis
6.4. Industry SWOT Analysis
6.5. PESTLE Analysis
6.6. Porter’s Five Forces Analysis
7. Government Laws and Industry Regulations
8. MENA and Regional Market Dynamics
8.1. Drivers
8.2. Restraints
8.3. Trends
8.4. Opportunities
9. MENA AI Software Market: Technology Assessment
Robust assessment of key technologies incorporated in various types of AI Software that are commercialized in the marketplace
10. Pricing Analysis
10.1. By Type
10.1.1. AI Applications
10.1.1.1. AI ERP
10.1.1.2. AI CRM
10.1.1.3. Rest of AI Apps
10.1.2. AI System Infrastructure Software
10.1.3. AI Platforms
10.2. By Region
10.2.1. Algeria
10.2.2. Iraq
10.2.3. GCC
10.2.4. Iran
10.2.5. Egypt
10.2.6. Israel
11. Parent Market Overview: ICT
12. Segmental Analysis
12.1. MENA AI Software Market by Type
12.1.1. AI Applications
12.1.1.1. AI ERP
12.1.1.2. AI CRM
12.1.1.3. Rest of AI Apps
12.1.2. AI System Infrastructure Software
12.1.3. AI Platforms
12.2. MENA AI Software Market by Deployment
12.2.1. On-Premises
12.2.2. Cloud
12.3. MENA AI Software Market by End User
12.3.1. Manufacturing
12.3.2. Natural Resources and Material (Oil & Gas and Mining)
12.3.3. Telecom, Media & Services
12.3.4. Consumer Goods & Retail
12.3.5. Healthcare & Life Sciences
12.3.6. Automobile & Transportation
12.3.7. BFSI
12.3.8. Energy
12.3.9. Others (Government, Trade etc.)
12.4. MENA AI Software Market by Region
12.4.1. Algeria
12.4.2. Iraq
12.4.3. GCC
12.4.4. Iran
12.4.5. Egypt
12.4.6. Israel
13. Regional Analysis
13.1. Algeria AI Software Market Analysis and Forecast 2019-2028
13.1.1. Regional Market Overview and Key Takeaways
13.1.2. Algeria AI Software Market by Type
13.1.3. Algeria AI Software Market by Deployment
13.1.4. Algeria AI Software Market by End User
13.2. Egypt AI Software Market Analysis and Forecast 2019-2028
13.2.1. Regional Market Overview and Key Takeaways
13.2.2. Egypt AI Software Market by Type
13.2.3. Egypt AI Software Market by Deployment
13.2.4. Egypt AI Software Market by End User
13.3. GCC AI Software Market Analysis and Forecast 2019-2028
13.3.1. Regional Market Overview and Key Takeaways
13.3.2. GCC AI Software Market by Type
13.3.3. GCC AI Software Market by Deployment
13.3.4. GCC AI Software Market by End User
13.4. Iran AI Software Market Analysis and Forecast 2019-2028
13.4.1. Regional Market Overview and Key Takeaways
13.4.2. Iran AI Software Market by Type
13.4.3. Iran AI Software Market by Deployment
13.4.4. Iran AI Software Market by End User
13.5. Iraq AI Software Market Analysis and Forecast 2019-2028
13.5.1. Regional Market Overview and Key Takeaways
13.5.2. Iraq AI Software Market by Type
13.5.3. Iraq AI Software Market by Application
13.5.4. Iraq AI Software Market by End User
13.6. Israel AI Software Market Analysis and Forecast 2019-2028
13.6.1. Regional Market Overview and Key Takeaways
13.6.2. Israel AI Software Market by Type
13.6.3. Israel AI Software Market by Deployment
13.6.4. Israel AI Software Market by End User
13.7. Morocco AI Software Market Analysis and Forecast 2019-2028
13.7.1. Regional Market Overview and Key Takeaways
13.7.2. Morocco AI Software Market by Type
13.7.3. Morocco AI Software Market by Deployment
13.7.4. Morocco AI Software Market by End User
13.8. Turkey AI Software Market Analysis and Forecast 2019-2028
13.8.1. Regional Market Overview and Key Takeaways
13.8.2. Turkey AI Software Market by Type
13.8.3. Turkey AI Software Market by Deployment
13.8.4. Turkey AI Software Market by End User
13.9. Rest of MENA AI Software Market Analysis and Forecast 2019-2028
13.9.1. Regional Market Overview and Key Takeaways
13.9.2. Rest of MENA AI Software Market by Type
13.9.3. Rest of MENA AI Software Market by Deployment
13.9.4. Rest of MENA AI Software Market by End User
14. Competitive Landscape
14.1. Competition Dashboard
14.1.1. MENA and Regional Market Share Analysis
14.1.2. Market Structure
14.2. Competitive Benchmarking
14.3. Key Strategy Analysis
14.4. Company Profiles
14.4.1. Amazon
14.4.1.1. Company Overview
14.4.1.2. Product/Service Offerings
14.4.1.3. Financials
14.4.1.4. Recent Developments
14.4.2. IBM
14.4.2.1. Company Overview
14.4.2.2. Product/Service Offerings
14.4.2.3. Key Financials
14.4.2.4. Recent Developments
14.4.3. Microsoft
14.4.3.1. Company Overview
14.4.3.2. Product/Service Offerings
14.4.3.3. Key Financials
14.4.3.4. Recent Developments
14.4.4. Oracle
14.4.4.1. Company Overview
14.4.4.2. Product/Service Offerings
14.4.4.3. Financials
14.4.4.4. Recent Developments
14.4.5. NEXTracker
14.4.5.1. Company Overview
14.4.5.2. Product/Service Offerings
14.4.5.3. Financials
14.4.5.4. Recent Developments
14.4.6. DRUID
14.4.6.1. Company Overview
14.4.6.2. Product/Service Offerings
14.4.6.3. Financials
14.4.6.4. Recent Developments
14.4.7. NVIDIA Corporation
14.4.7.1. Company Overview
14.4.7.2. Product/Service Offerings
14.4.7.3. Financials
14.4.7.4. Recent Developments
14.4.8. Group 42
14.4.8.1. Company Overview
14.4.8.2. Product/Service Offerings
14.4.8.3. Financials
14.4.8.4. Recent Developments
14.4.9. Palantir Technologies Inc.
14.4.9.1. Company Overview
14.4.9.2. Product/Service Offerings
14.4.9.3. Financials
14.4.9.4. Recent Developments
14.4.10. Applied Artificial Intelligence Corporation,
14.4.10.1. Company Overview
14.4.10.2. Product/Service Offerings
14.4.10.3. Financials
14.4.10.4. Recent Developments
14.4.11. SAS Institute Inc
14.4.11.1. Company Overview
14.4.11.2. Product/Service Offerings
14.4.11.3. Financials
14.4.11.4. Recent Developments
14.4.12. Axilion Smart Mobility Ltd
14.4.12.1. Company Overview
14.4.12.2. Product/Service Offerings
14.4.12.3. Financials
14.4.12.4. Recent Developments
14.4.13. Mobileye
14.4.13.1. Company Overview
14.4.13.2. Product/Service Offerings
14.4.13.3. Financials
14.4.13.4. Recent Developments
14.4.14. Moovit
14.4.14.1. Company Overview
14.4.14.2. Product/Service Offerings
14.4.14.3. Financials
14.4.14.4. Recent Developments
14.4.15. Splash Software
14.4.15.1. Company Overview
14.4.15.2. Product/Service Offerings
14.4.15.3. Financials
14.4.15.4. Recent Developments
14.4.16. Capterra Inc
14.4.16.1. Company Overview
14.4.16.2. Product/Service Offerings
14.4.16.3. Financials
14.4.16.4. Recent Developments
14.4.17. Appinventiv
14.4.17.1. Company Overview
14.4.17.2. Product/Service Offerings
14.4.17.3. Financials
14.4.17.4. Recent Developments
14.4.18. Fusion Informatics Limited
14.4.18.1. Company Overview
14.4.18.2. Product/Service Offerings
14.4.18.3. Financials
14.4.18.4. Recent Developments
15. Disclaimer
List of Figures
Research methodology is mainly referring to the practical how of any offered piece of research. More specifically, it’s all about how a researcher systematically designs a study in order to assure extremely valid as well as reliable results that ultimately address the targets and objectives of the research.
In any formal research including academic journal, article, dissertation and so on, there will be a special section on a research methodology that mainly describes what, by whom, how to gather as well as how to evaluate the data are provided.
This research methodology has been segmented into following types:
Primary Research:
It is said to be original information that the researchers collect for the crucial purposes of answering the research questions of readers with the help of surveys, observations and experiments.
Secondary Research:
The secondary research is the data that has already been collected by various other researchers in the form of government analysis or scientific studies.
Qualitative Research:
It is descriptive and subjective method irrespective of facts. Both observation and description are essential in this type of research methodology. Its main vision is to analyze knowledge, attitudes, behaviours as well as opinions of people related to the topic of any research. This method has been operated through grounded research, case study and actionable research.
Quantitative Research:
It contains several laboratory experiments, basic surveys, mathematical calculations, simulations and so on. The possible measurement, quantity or amount is considered to be a major factor in the quantitative research methodology.
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