Selected research
Market Analysis & Forecast
Global AI-driven Hotel Property Management System (PMS) Market Analysis and Forecast 2026-2032
Market perspective
The global AI-driven Hotel Property Management System (PMS) market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI-driven Hotel Property Management System (PMS) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI-driven Hotel Property Management System (PMS) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI-driven Hotel Property Management System (PMS) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI-driven Hotel Property Management System (PMS) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI-driven Hotel Property Management System (PMS) include Amadeus (Spain), Sabre Corporation (USA), Mews PMS (Netherlands), HRS Hospitality & Retail Systems (Germany), StayNTouch (USA), Maestro PMS (Canada), Hotelogix (India), RoomRaccoon (Netherlands) and IBS Software (India), etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI-driven Hotel Property Management System (PMS), market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI-driven Hotel Property Management System (PMS), also provides the revenue of main regions and countries. Of the upcoming market potential for AI-driven Hotel Property Management System (PMS), and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI-driven Hotel Property Management System (PMS) revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI-driven Hotel Property Management System (PMS) market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI-driven Hotel Property Management System (PMS) revenue, projected growth trends, production technology, application and end-user industry.
AI-driven Hotel Property Management System (PMS) Segment by Company
Amadeus (Spain)
Sabre Corporation (USA)
Mews PMS (Netherlands)
HRS Hospitality & Retail Systems (Germany)
StayNTouch (USA)
Maestro PMS (Canada)
Hotelogix (India)
RoomRaccoon (Netherlands)
IBS Software (India)
Oracle (USA)
Shiji Group (China)
Infor HMS (USA)
AI-driven Hotel Property Management System (PMS) Segment by Type
Public Cloud SaaS Hotel PMS
Private Cloud Hotel PMS
Others
AI-driven Hotel Property Management System (PMS) Segment by Application
Hotel Chains Group
Resorts
Small Independent Hotels
Others
AI-driven Hotel Property Management System (PMS) Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI-driven Hotel Property Management System (PMS) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI-driven Hotel Property Management System (PMS) and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI-driven Hotel Property Management System (PMS).
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of AI-driven Hotel Property Management System (PMS) in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of AI-driven Hotel Property Management System (PMS) company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI-driven Hotel Property Management System (PMS) revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Public Cloud SaaS Hotel PMS
- Private Cloud Hotel PMS
- Others
Applications
- Hotel Chains Group
- Resorts
- Small Independent Hotels
- Others
Companies covered
- Amadeus (Spain)
- Sabre Corporation (USA)
- Mews PMS (Netherlands)
- HRS Hospitality & Retail Systems (Germany)
- StayNTouch (USA)
- Maestro PMS (Canada)
- Hotelogix (India)
- RoomRaccoon (Netherlands)
- IBS Software (India)
- Oracle (USA)
- Shiji Group (China)
- Infor HMS (USA)
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI-driven Hotel Property Management System (PMS) Market by Type
- 1.2.1 Global AI-driven Hotel Property Management System (PMS) Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Public Cloud SaaS Hotel PMS
- 1.2.3 Private Cloud Hotel PMS
- 1.2.4 Others
- 1.3 AI-driven Hotel Property Management System (PMS) Market by Application
- 1.3.1 Global AI-driven Hotel Property Management System (PMS) Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Hotel Chains Group
- 1.3.3 Resorts
- 1.3.4 Small Independent Hotels
- 1.3.5 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI-driven Hotel Property Management System (PMS) Market Dynamics
- 2.1 AI-driven Hotel Property Management System (PMS) Industry Trends
- 2.2 AI-driven Hotel Property Management System (PMS) Industry Drivers
- 2.3 AI-driven Hotel Property Management System (PMS) Industry Opportunities and Challenges
- 2.4 AI-driven Hotel Property Management System (PMS) Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI-driven Hotel Property Management System (PMS) Market Perspective (2021-2032)
- 3.2 Global AI-driven Hotel Property Management System (PMS) Growth Trends by Region
- 3.2.1 Global AI-driven Hotel Property Management System (PMS) Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI-driven Hotel Property Management System (PMS) Market Size by Region (2021-2026)
- 3.2.3 Global AI-driven Hotel Property Management System (PMS) Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI-driven Hotel Property Management System (PMS) Revenue by Players
- 4.1.1 Global AI-driven Hotel Property Management System (PMS) Revenue by Players (2021-2026)
- 4.1.2 Global AI-driven Hotel Property Management System (PMS) Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI-driven Hotel Property Management System (PMS) Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI-driven Hotel Property Management System (PMS) Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI-driven Hotel Property Management System (PMS) Key Players Headquarters & Area Served
- 4.4 Global AI-driven Hotel Property Management System (PMS) Players, Product Type & Application
- 4.5 Global AI-driven Hotel Property Management System (PMS) Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI-driven Hotel Property Management System (PMS) Market CR5 and HHI
- 4.6.3 2025 AI-driven Hotel Property Management System (PMS) Tier 1, Tier 2, and Tier 3
5 AI-driven Hotel Property Management System (PMS) Market Size by Type
- 5.1 Global AI-driven Hotel Property Management System (PMS) Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 5.3 Global AI-driven Hotel Property Management System (PMS) Revenue Market Share by Type (2021-2032)
6 AI-driven Hotel Property Management System (PMS) Market Size by Application
- 6.1 Global AI-driven Hotel Property Management System (PMS) Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 6.3 Global AI-driven Hotel Property Management System (PMS) Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Amadeus (Spain)
- 7.1.1 Amadeus (Spain) Company Information
- 7.1.2 Amadeus (Spain) Business Overview
- 7.1.3 Amadeus (Spain) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.1.4 Amadeus (Spain) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.1.5 Amadeus (Spain) Recent Developments
- 7.2 Sabre Corporation (USA)
- 7.2.1 Sabre Corporation (USA) Company Information
- 7.2.2 Sabre Corporation (USA) Business Overview
- 7.2.3 Sabre Corporation (USA) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.2.4 Sabre Corporation (USA) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.2.5 Sabre Corporation (USA) Recent Developments
- 7.3 Mews PMS (Netherlands)
- 7.3.1 Mews PMS (Netherlands) Company Information
- 7.3.2 Mews PMS (Netherlands) Business Overview
- 7.3.3 Mews PMS (Netherlands) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.3.4 Mews PMS (Netherlands) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.3.5 Mews PMS (Netherlands) Recent Developments
- 7.4 HRS Hospitality & Retail Systems (Germany)
- 7.4.1 HRS Hospitality & Retail Systems (Germany) Company Information
- 7.4.2 HRS Hospitality & Retail Systems (Germany) Business Overview
- 7.4.3 HRS Hospitality & Retail Systems (Germany) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.4.4 HRS Hospitality & Retail Systems (Germany) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.4.5 HRS Hospitality & Retail Systems (Germany) Recent Developments
- 7.5 StayNTouch (USA)
- 7.5.1 StayNTouch (USA) Company Information
- 7.5.2 StayNTouch (USA) Business Overview
- 7.5.3 StayNTouch (USA) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.5.4 StayNTouch (USA) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.5.5 StayNTouch (USA) Recent Developments
- 7.6 Maestro PMS (Canada)
- 7.6.1 Maestro PMS (Canada) Company Information
- 7.6.2 Maestro PMS (Canada) Business Overview
- 7.6.3 Maestro PMS (Canada) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.6.4 Maestro PMS (Canada) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.6.5 Maestro PMS (Canada) Recent Developments
- 7.7 Hotelogix (India)
- 7.7.1 Hotelogix (India) Company Information
- 7.7.2 Hotelogix (India) Business Overview
- 7.7.3 Hotelogix (India) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.7.4 Hotelogix (India) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.7.5 Hotelogix (India) Recent Developments
- 7.8 RoomRaccoon (Netherlands)
- 7.8.1 RoomRaccoon (Netherlands) Company Information
- 7.8.2 RoomRaccoon (Netherlands) Business Overview
- 7.8.3 RoomRaccoon (Netherlands) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.8.4 RoomRaccoon (Netherlands) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.8.5 RoomRaccoon (Netherlands) Recent Developments
- 7.9 IBS Software (India)
- 7.9.1 IBS Software (India) Company Information
- 7.9.2 IBS Software (India) Business Overview
- 7.9.3 IBS Software (India) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.9.4 IBS Software (India) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.9.5 IBS Software (India) Recent Developments
- 7.10 Oracle (USA)
- 7.10.1 Oracle (USA) Company Information
- 7.10.2 Oracle (USA) Business Overview
- 7.10.3 Oracle (USA) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.10.4 Oracle (USA) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.10.5 Oracle (USA) Recent Developments
- 7.11 Shiji Group (China)
- 7.11.1 Shiji Group (China) Company Information
- 7.11.2 Shiji Group (China) Business Overview
- 7.11.3 Shiji Group (China) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.11.4 Shiji Group (China) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.11.5 Shiji Group (China) Recent Developments
- 7.12 Infor HMS (USA)
- 7.12.1 Infor HMS (USA) Company Information
- 7.12.2 Infor HMS (USA) Business Overview
- 7.12.3 Infor HMS (USA) AI-driven Hotel Property Management System (PMS) Revenue and Gross Margin (2021-2026)
- 7.12.4 Infor HMS (USA) AI-driven Hotel Property Management System (PMS) Product Portfolio
- 7.12.5 Infor HMS (USA) Recent Developments
8 North America
- 8.1 North America AI-driven Hotel Property Management System (PMS) Revenue (2021-2032)
- 8.2 North America AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 8.2.1 North America AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2026)
- 8.2.2 North America AI-driven Hotel Property Management System (PMS) Revenue by Type (2027-2032)
- 8.3 North America AI-driven Hotel Property Management System (PMS) Revenue Share by Type (2021-2032)
- 8.4 North America AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 8.4.1 North America AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2026)
- 8.4.2 North America AI-driven Hotel Property Management System (PMS) Revenue by Application (2027-2032)
- 8.5 North America AI-driven Hotel Property Management System (PMS) Revenue Share by Application (2021-2032)
- 8.6 North America AI-driven Hotel Property Management System (PMS) Revenue by Country
- 8.6.1 North America AI-driven Hotel Property Management System (PMS) Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI-driven Hotel Property Management System (PMS) Revenue by Country (2021-2026)
- 8.6.3 North America AI-driven Hotel Property Management System (PMS) Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI-driven Hotel Property Management System (PMS) Revenue (2021-2032)
- 9.2 Europe AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 9.2.1 Europe AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2026)
- 9.2.2 Europe AI-driven Hotel Property Management System (PMS) Revenue by Type (2027-2032)
- 9.3 Europe AI-driven Hotel Property Management System (PMS) Revenue Share by Type (2021-2032)
- 9.4 Europe AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 9.4.1 Europe AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2026)
- 9.4.2 Europe AI-driven Hotel Property Management System (PMS) Revenue by Application (2027-2032)
- 9.5 Europe AI-driven Hotel Property Management System (PMS) Revenue Share by Application (2021-2032)
- 9.6 Europe AI-driven Hotel Property Management System (PMS) Revenue by Country
- 9.6.1 Europe AI-driven Hotel Property Management System (PMS) Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI-driven Hotel Property Management System (PMS) Revenue by Country (2021-2026)
- 9.6.3 Europe AI-driven Hotel Property Management System (PMS) Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI-driven Hotel Property Management System (PMS) Revenue (2021-2032)
- 10.2 China AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 10.2.1 China AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2026)
- 10.2.2 China AI-driven Hotel Property Management System (PMS) Revenue by Type (2027-2032)
- 10.3 China AI-driven Hotel Property Management System (PMS) Revenue Share by Type (2021-2032)
- 10.4 China AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 10.4.1 China AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2026)
- 10.4.2 China AI-driven Hotel Property Management System (PMS) Revenue by Application (2027-2032)
- 10.5 China AI-driven Hotel Property Management System (PMS) Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI-driven Hotel Property Management System (PMS) Revenue (2021-2032)
- 11.2 Asia AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 11.2.1 Asia AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2026)
- 11.2.2 Asia AI-driven Hotel Property Management System (PMS) Revenue by Type (2027-2032)
- 11.3 Asia AI-driven Hotel Property Management System (PMS) Revenue Share by Type (2021-2032)
- 11.4 Asia AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 11.4.1 Asia AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2026)
- 11.4.2 Asia AI-driven Hotel Property Management System (PMS) Revenue by Application (2027-2032)
- 11.5 Asia AI-driven Hotel Property Management System (PMS) Revenue Share by Application (2021-2032)
- 11.6 Asia AI-driven Hotel Property Management System (PMS) Revenue by Country
- 11.6.1 Asia AI-driven Hotel Property Management System (PMS) Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI-driven Hotel Property Management System (PMS) Revenue by Country (2021-2026)
- 11.6.3 Asia AI-driven Hotel Property Management System (PMS) Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI-driven Hotel Property Management System (PMS) Revenue (2021-2032)
- 12.2 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Type (2027-2032)
- 12.3 SAMEA AI-driven Hotel Property Management System (PMS) Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Application (2027-2032)
- 12.5 SAMEA AI-driven Hotel Property Management System (PMS) Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Country
- 12.6.1 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI-driven Hotel Property Management System (PMS) Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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