The Smart Hospitality Market is anticipated to increase at a CAGR of 30.2% from 2023 to 2030, from a value of USD 13.4 billion in 2022 to USD 110.6 billion in 2030.
The need for real-time optimal guest experience management, lower operational expenses, and growing interest in IoT are all on the rise, as is the demand for hospitality software and services. These are the main elements that are propelling the development of the smart hospitality market. Smart hospitality is a quickly developing sector that makes use of automated software, intelligent solutions, and mobile devices to enhance customer services. These technologies enable customers to select their rooms, room kinds, and room numbers using their mobile devices, greatly improving the guest experience.
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Drivers
Increasing 5G adoption in the hospitality industry
A greater focus is being placed on individualized services to improve the client experience.
Increasing consumer desire for guest-focused, hyperconnected personalization and real-time tailored experiences will boost the market.
Hoteliers have the opportunity to establish a strong and meaningful connection with each guest, ensuring they have a memorable experience and increasing the likelihood of receiving positive reviews. By offering a more personalized and tailored travel experience, hoteliers can enhance their brand reputation, foster customer loyalty, and generate additional revenue. The advent of smart hospitality solutions has revolutionized the industry, providing hoteliers with valuable insights and data on guest behavior. This data can be utilized to gain a comprehensive understanding of each visitor, enabling hoteliers to improve their experience through enhanced customer care. With the help of integrated digital platforms such as Property Management System (PMS) and Customer Relationship Management (CRM), hoteliers can access a centralized dashboard that organizes data from various sources. This not only allows for a personalized view of each guest but also helps alleviate operational burdens. the utilization of these digital platforms can lead to a reduction in hotel operating expenses and an increase in guest retention rates. This, in turn, strengthens the hotel's brand positioning and overall success.
By providing a mobile-centric guest experience that enhances the guest's convenience and self-service, hotels are now also reaping benefits. Hoteliers may design a more connected and convenient stay for their customers by developing a mobile-centric booking experience, providing keyless entry using a mobile device, text-based communications, mobile concierge, etc.
Restrains
The high expense of implementation, upkeep, and training
The adoption of sophisticated hospitality systems, including Property Management Systems (PMS) and Guest Experience Management Systems, entails substantial expenses, regardless of whether they are implemented locally or online. The financial constraints imposed by the aftermath of the pandemic have made it particularly challenging for hotels to invest in smart hospitality solutions. The industry is still grappling with the colossal financial losses incurred during this period. Furthermore, hotels that have already embraced smart technologies have encountered significant maintenance costs. However, it is important to recognize that the cost of deployment is typically associated with the level of complexity involved in integrating these applications.
Opportunities
Real-time, ideal visitor experience management is becoming more and more popular.
Attractive revenue generation and affordable operating costs
expanding the usage of energy management systems with the Internet of Things (IoT)
Challenges
Challenges to data security and information sharing.
Need technical persons to effectively handle the software.
Conflict escalates and results in economic sanctions, disruptions to trade, or an overall economic downturn, it could lead to reduced consumer spending and business investments. This might cause hotels and other hospitality businesses to postpone or scale back their plans to invest in smart technologies. The conflict could lead to a shift in priorities for both governments and businesses, potentially diverting resources away from technological innovation and development. This might slow down the advancement of new smart hospitality technologies, as companies focus on adapting to the changing geopolitical and economic landscape.
The conflict could lead to increased cyber threats and attacks. As tensions rise, there might be a higher likelihood of cyberattacks targeting businesses, including those in the hospitality sector. This could undermine trust in smart technology solutions and raise concerns about data security and privacy. The uncertainty caused by the conflict might lead to a reduction in venture capital investments and funding for startups in the smart hospitality sector. Investors might become more cautious, and companies might struggle to secure the necessary funding for research, development, and expansion. conflict results in political instability or safety concerns, tourism could decline in the affected regions. This would directly impact the hospitality industry, potentially leading to reduced demand for smart technology solutions as hotel occupancy rates decrease. As geopolitical tensions rise, consumer sentiment and behavior can change. Travelers might become more cautious about sharing personal information through smart devices in hotels due to concerns about privacy and security.
Impact of Recession
Hospitality businesses might delay or cancel planned upgrades or implementations of smart technologies due to financial constraints. This delay can impact the market's growth and hinder the integration of new technologies that could improve customer experiences and operational efficiency. Recessionary periods often lead to changes in consumer behavior, including reduced spending on travel and leisure activities. This can directly impact the demand for smart hospitality services, such as automated check-ins, smart room controls, and personalized services, as fewer guests might be willing to pay premiums for these features. Hospitality businesses may prioritize cost-cutting measures during a recession, which could lead to a decreased emphasis on technology investments. This might result in a slowdown in the adoption of innovative solutions that improve operational efficiency and guest satisfaction. During tough economic times, hospitality businesses might shift their priorities away from long-term technological advancements to short-term survival strategies. This could result in a reduced focus on integrating new smart technologies and a greater emphasis on maintaining core operations. Economic downturns can lead to consolidation within the hospitality industry as weaker players may merge or go out of business. This could impact the adoption of smart hospitality technologies, as consolidation might disrupt ongoing technology implementations or deter investment in new solutions. Hospitality businesses may become more cautious when evaluating the return on investment (ROI) of smart technology implementations. They might demand quicker and more tangible results from these technologies, which could affect the willingness to invest in longer-term projects.
By offerings
Solution
services
By Deployment Mode
Cloud
On-premises
By Solution Type
Hotel Operation Management
Hotel Automation Management
Guest Service Management System
Others
By End User
Hotel
Cruise
Luxury Yatches
Others
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North America was the leader in the smart hospitality market, and it is anticipated that it will continue to hold that position throughout the forecast period. This is due to the region's strong demand for high-quality smart services, cloud-based platforms, and top-notch security that goes above and beyond industry standards. The Internet of Things allows hotel staff to remotely control electronic devices in "smart hotels," giving them access to real-time data about their operational state. Asia Pacific, on the other hand, is predicted to experience significant growth during the forecast period. Because of these factors, the smart hospitality market is anticipated to increase significantly throughout the forecast period.
Over the next five years, the smart hospitality industry will increase in this region due to factors like supportive government initiatives and legislation to stimulate the expansion of the hotel sector. The region's smart hotel sector continues to flourish as a result of greater technological advancements, internet infrastructure, expanded IoT applications, and efficient energy use. The market in the region will be driven by a booming tourism sector, a more modern hotel infrastructure, and a high rate of new hotel openings in numerous Asia-Pacific nations like Thailand, Malaysia, and Indonesia.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The major players in the market are IBM, Huawei, Schneider Electric, NEC, Cisco, Honeywell, Sabre, Legrand, Siemens AG, Global Business Solutions, Oracle, Infor, Johnson Controls, Samsung, Leviton, Control4, Wisuite, Stayntouch, Qualsoft Systems, Hospitality Network, Springler-Miller Systems, Guestline, Frontdesk Anywhere, Chris Lewis Group, BuildingIQ, Cloudbeds, and others in final report.
In May 2022, Oracle and Orient Jakarta collaborated to develop a cutting-edge property management system. This collaboration proved to be invaluable, especially during the challenging times of the COVID-19 pandemic, as it allowed them to bolster their online presence and provide remote staff training through the use of Oracle Digital Learning technologies.
In January 2022, Johnson Controls made a significant acquisition by purchasing FogHorn, a renowned manufacturer of edge AI solutions. This strategic merger is set to revolutionize the development of sustainable and highly efficient autonomous spaces.
Another notable partnership formed in January 2022 was between Infor and Seven Feathers Casino. This collaboration aims to elevate customer service within the hospitality sector by integrating specialized applications tailored specifically for this industry.
To enhance its digital building offering, which already includes cloud-based building operations and its smart building management platform Desigo CC, Siemens purchased EcoDomus' digital twin software in December 2021.
| Report Attributes | Details |
| Market Size in 2022 | US$ 13.4 Bn |
| Market Size by 2030 | US$ 110.6 Bn |
| CAGR | CAGR of 30.2 % From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By offerings (Solution, services) • By Deployment Mode (Cloud, On-premises) • By Solution Type (Hotel Operation Management, Hotel Automation Management, Guest Service Management System, Security Management System, Others) • By End User (Hotel, Cruise, Luxury Yatches, Others), |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | IBM, Huawei, Schneider Electric, NEC, Cisco, Honeywell, Sabre, Legrand, Siemens AG, Global Business Solutions, Oracle, Infor, Johnson Controls, Samsung, Leviton, Control4, Wisuite, Stayntouch, Qualsoft Systems, Hospitality Network, Springler-Miller Systems, Guestline, Frontdesk Anywhere, Chris Lewis Group, BuildingIQ, Cloudbeds |
| Key Drivers | • Increasing 5G adoption in the hospitality industry • A greater focus is being placed on individualized services to improve the client experience. • Increasing consumer desire for guest-focused, hyperconnected personalization and real-time tailored experiences will boost the market. |
| Market Restraints | • High expense of implementation, upkeep, and training |
Ans: Four segments are covered in the Smart Hospitality Market Report, By offerings, By Deployment Mode, By Solution Type, By End User.
Ans. The forecast period of the Smart Hospitality Market is 2022-2030.
Ans: The value of the Smart Hospitality Market is 13.4 billion in 2022.
Ans: Yes, you can ask for the customization as pas per your business requirement.
Ans. The CAGR of the Smart Hospitality Market is 30.2 %.
Table of Contents
1.Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Smart Hospitality Market Segmentation, By Offerings
8.1 Solution
8.2 Services
9. Smart Hospitality Market Segmentation, By Deployment
9.1 Cloud
9.2 On-premises
10. Smart Hospitality Market Segmentation, By Solution Type
10.1 Hotel Operation Management
10.2 Hotel Automation Management
10.3 Guest Service Management System
10.4 Security Management System
10.5 Others
11. Smart Hospitality Market Segmentation, By End User
11.1 Hotel
11.2 Cruise
11.3 Luxury Yatches
11.4 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Smart Hospitality Market By Country
12.2.2 North America Smart Hospitality Market By Offerings
12.2.3 North America Smart Hospitality Market By Deployment
12.2.4 North America Smart Hospitality Market By Solution Type
12.2.5 North America Smart Hospitality Market By End User
12.2.6 USA
12.2.6.1 USA Smart Hospitality Market By Offerings
12.2.6.2 USA Smart Hospitality Market By Deployment
12.2.6.3 USA Smart Hospitality Market By Solution Type
12.2.6.4 USA Smart Hospitality Market By End User
12.2.7 Canada
12.2.7.1 Canada Smart Hospitality Market By Offerings
12.2.7.2 Canada Smart Hospitality Market By Deployment
12.2.7.3 Canada Smart Hospitality Market By Solution Type
12.2.7.4 Canada Smart Hospitality Market By End User
12.2.8 Mexico
12.2.8.1 Mexico Smart Hospitality Market By Offerings
12.2.8.2 Mexico Smart Hospitality Market By Deployment
12.2.8.3 Mexico Smart Hospitality Market By Solution Type
12.2.8.4 Mexico Smart Hospitality Market By End User
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Smart Hospitality Market By Country
12.3.1.2 Eastern Europe Smart Hospitality Market By Offerings
12.3.1.3 Eastern Europe Smart Hospitality Market By Deployment
12.3.1.4 Eastern Europe Smart Hospitality Market By Solution Type
12.3.1.5 Eastern Europe Smart Hospitality Market By End User
12.3.1.6 Poland
12.3.1.6.1 Poland Smart Hospitality Market By Offerings
12.3.1.6.2 Poland Smart Hospitality Market By Deployment
12.3.1.6.3 Poland Smart Hospitality Market By Solution Type
12.3.1.6.4 Poland Smart Hospitality Market By End User
12.3.1.7 Romania
12.3.1.7.1 Romania Smart Hospitality Market By Offerings
12.3.1.7.2 Romania Smart Hospitality Market By Deployment
12.3.1.7.3 Romania Smart Hospitality Market By Solution Type
12.3.1.7.4 Romania Smart Hospitality Market By End User
12.3.1.8 Hungary
12.3.1.8.1 Hungary Smart Hospitality Market By Offerings
12.3.1.8.2 Hungary Smart Hospitality Market By Deployment
12.3.1.8.3 Hungary Smart Hospitality Market By Solution Type
12.3.1.8.4 Hungary Smart Hospitality Market By End User
12.3.1.9 Turkey
12.3.1.9.1 Turkey Smart Hospitality Market By Offerings
12.3.1.9.2 Turkey Smart Hospitality Market By Deployment
12.3.1.9.3 Turkey Smart Hospitality Market By Solution Type
12.3.1.9.4 Turkey Smart Hospitality Market By End User
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Smart Hospitality Market By Offerings
12.3.1.10.2 Rest of Eastern Europe Smart Hospitality Market By Deployment
12.3.1.10.3 Rest of Eastern Europe Smart Hospitality Market By Solution Type
12.3.1.10.4 Rest of Eastern Europe Smart Hospitality Market By End User
12.3.2 Western Europe
12.3.2.1 Western Europe Smart Hospitality Market By Country
12.3.2.2 Western Europe Smart Hospitality Market By Offerings
12.3.2.3 Western Europe Smart Hospitality Market By Deployment
12.3.2.4 Western Europe Smart Hospitality Market By Solution Type
12.3.2.5 Western Europe Smart Hospitality Market By End User
12.3.2.6 Germany
12.3.2.6.1 Germany Smart Hospitality Market By Offerings
12.3.2.6.2 Germany Smart Hospitality Market By Deployment
12.3.2.6.3 Germany Smart Hospitality Market By Solution Type
12.3.2.6.4 Germany Smart Hospitality Market By End User
12.3.2.7 France
12.3.2.7.1 France Smart Hospitality Market By Offerings
12.3.2.7.2 France Smart Hospitality Market By Deployment
12.3.2.7.3 France Smart Hospitality Market By Solution Type
12.3.2.7.4 France Smart Hospitality Market By End User
12.3.2.8 UK
12.3.2.8.1 UK Smart Hospitality Market By Offerings
12.3.2.8.2 UK Smart Hospitality Market By Deployment
12.3.2.8.3 UK Smart Hospitality Market By Solution Type
12.3.2.8.4 UK Smart Hospitality Market By End User
12.3.2.9 Italy
12.3.2.9.1 Italy Smart Hospitality Market By Offerings
12.3.2.9.2 Italy Smart Hospitality Market By Deployment
12.3.2.9.3 Italy Smart Hospitality Market By Solution Type
12.3.2.9.4 Italy Smart Hospitality Market By End User
12.3.2.10 Spain
12.3.2.10.1 Spain Smart Hospitality Market By Offerings
12.3.2.10.2 Spain Smart Hospitality Market By Deployment
12.3.2.10.3 Spain Smart Hospitality Market By Solution Type
12.3.2.10.4 Spain Smart Hospitality Market By End User
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Smart Hospitality Market By Offerings
12.3.2.11.2 Netherlands Smart Hospitality Market By Deployment
12.3.2.11.3 Netherlands Smart Hospitality Market By Solution Type
12.3.2.11.4 Netherlands Smart Hospitality Market By End User
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Smart Hospitality Market By Offerings
12.3.2.12.2 Switzerland Smart Hospitality Market By Deployment
12.3.2.12.3 Switzerland Smart Hospitality Market By Solution Type
12.3.2.12.4 Switzerland Smart Hospitality Market By End User
12.3.2.13 Austria
12.3.2.13.1 Austria Smart Hospitality Market By Offerings
12.3.2.13.2 Austria Smart Hospitality Market By Deployment
12.3.2.13.3 Austria Smart Hospitality Market By Solution Type
12.3.2.13.4 Austria Smart Hospitality Market By End User
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Smart Hospitality Market By Offerings
12.3.2.14.2 Rest of Western Europe Smart Hospitality Market By Deployment
12.3.2.14.3 Rest of Western Europe Smart Hospitality Market By Solution Type
12.3.2.14.4 Rest of Western Europe Smart Hospitality Market By End User
12.4 Asia-Pacific
12.4.1 Asia Pacific Smart Hospitality Market By Country
12.4.2 Asia Pacific Smart Hospitality Market By Offerings
12.4.3 Asia Pacific Smart Hospitality Market By Deployment
12.4.4 Asia Pacific Smart Hospitality Market By Solution Type
12.4.5 Asia Pacific Smart Hospitality Market By End User
12.4.6 China
12.4.6.1 China Smart Hospitality Market By Offerings
12.4.6.2 China Smart Hospitality Market By Deployment
12.4.6.3 China Smart Hospitality Market By Solution Type
12.4.6.4 China Smart Hospitality Market By End User
12.4.7 India
12.4.7.1 India Smart Hospitality Market By Offerings
12.4.7.2 India Smart Hospitality Market By Deployment
12.4.7.3 India Smart Hospitality Market By Solution Type
12.4.7.4 India Smart Hospitality Market By End User
12.4.8 Japan
12.4.8.1 Japan Smart Hospitality Market By Offerings
12.4.8.2 Japan Smart Hospitality Market By Deployment
12.4.8.3 Japan Smart Hospitality Market By Solution Type
12.4.8.4 Japan Smart Hospitality Market By End User
12.4.9 South Korea
12.4.9.1 South Korea Smart Hospitality Market By Offerings
12.4.9.2 South Korea Smart Hospitality Market By Deployment
12.4.9.3 South Korea Smart Hospitality Market By Solution Type
12.4.9.4 South Korea Smart Hospitality Market By End User
12.4.10 Vietnam
12.4.10.1 Vietnam Smart Hospitality Market By Offerings
12.4.10.2 Vietnam Smart Hospitality Market By Deployment
12.4.10.3 Vietnam Smart Hospitality Market By Solution Type
12.4.10.4 Vietnam Smart Hospitality Market By End User
12.4.11 Singapore
12.4.11.1 Singapore Smart Hospitality Market By Offerings
12.4.11.2 Singapore Smart Hospitality Market By Deployment
12.4.11.3 Singapore Smart Hospitality Market By Solution Type
12.4.11.4 Singapore Smart Hospitality Market By End User
12.4.12 Australia
12.4.12.1 Australia Smart Hospitality Market By Offerings
12.4.12.2 Australia Smart Hospitality Market By Deployment
12.4.12.3 Australia Smart Hospitality Market By Solution Type
12.4.12.4 Australia Smart Hospitality Market By End User
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Smart Hospitality Market By Offerings
12.4.13.2 Rest of Asia-Pacific Smart Hospitality Market By Deployment
12.4.13.3 Rest of Asia-Pacific Smart Hospitality Market By Solution Type
12.4.13.4 Rest of Asia-Pacific Smart Hospitality Market By End User
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Smart Hospitality Market By Country
12.5.1.2 Middle East Smart Hospitality Market By Offerings
12.5.1.3 Middle East Smart Hospitality Market By Deployment
12.5.1.4 Middle East Smart Hospitality Market By Solution Type
12.5.1.5 Middle East Smart Hospitality Market By End User
12.5.1.6 UAE
12.5.1.6.1 UAE Smart Hospitality Market By Offerings
12.5.1.6.2 UAE Smart Hospitality Market By Deployment
12.5.1.6.3 UAE Smart Hospitality Market By Solution Type
12.5.1.6.4 UAE Smart Hospitality Market By End User
12.5.1.7 Egypt
12.5.1.7.1 Egypt Smart Hospitality Market By Offerings
12.5.1.7.2 Egypt Smart Hospitality Market By Deployment
12.5.1.7.3 Egypt Smart Hospitality Market By Solution Type
12.5.1.7.4 Egypt Smart Hospitality Market By End User
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Smart Hospitality Market By Offerings
12.5.1.8.2 Saudi Arabia Smart Hospitality Market By Deployment
12.5.1.8.3 Saudi Arabia Smart Hospitality Market By Solution Type
12.5.1.8.4 Saudi Arabia Smart Hospitality Market By End User
12.5.1.9 Qatar
12.5.1.9.1 Qatar Smart Hospitality Market By Offerings
12.5.1.9.2 Qatar Smart Hospitality Market By Deployment
12.5.1.9.3 Qatar Smart Hospitality Market By Solution Type
12.5.1.9.4 Qatar Smart Hospitality Market By End User
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Smart Hospitality Market By Offerings
12.5.1.10.2 Rest of Middle East Smart Hospitality Market By Deployment
12.5.1.10.3 Rest of Middle East Smart Hospitality Market By Solution Type
12.5.1.10.4 Rest of Middle East Smart Hospitality Market By End User
12.5.2. Africa
12.5.2.1 Africa Smart Hospitality Market By Country
12.5.2.2 Africa Smart Hospitality Market By Offerings
12.5.2.3 Africa Smart Hospitality Market By Deployment
12.5.2.4 Africa Smart Hospitality Market By Solution Type
12.5.2.5 Africa Smart Hospitality Market By End User
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Smart Hospitality Market By Offerings
12.5.2.6.2 Nigeria Smart Hospitality Market By Deployment
12.5.2.6.3 Nigeria Smart Hospitality Market By Solution Type
12.5.2.6.4 Nigeria Smart Hospitality Market By End User
12.5.2.7 South Africa
12.5.2.7.1 South Africa Smart Hospitality Market By Offerings
12.5.2.7.2 South Africa Smart Hospitality Market By Deployment
12.5.2.7.3 South Africa Smart Hospitality Market By Solution Type
12.5.2.7.4 South Africa Smart Hospitality Market By End User
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Smart Hospitality Market By Offerings
12.5.2.8.2 Rest of Africa Smart Hospitality Market By Deployment
12.5.2.8.3 Rest of Africa Smart Hospitality Market By Solution Type
12.5.2.8.4 Rest of Africa Smart Hospitality Market By End User
12.6. Latin America
12.6.1 Latin America Smart Hospitality Market By Country
12.6.2 Latin America Smart Hospitality Market By Offerings
12.6.3 Latin America Smart Hospitality Market By Deployment
12.6.4 Latin America Smart Hospitality Market By Solution Type
12.6.5 Latin America Smart Hospitality Market By End User
12.6.6 Brazil
12.6.6.1 Brazil Smart Hospitality Market By Offerings
12.6.6.2 Brazil Smart Hospitality Market By Deployment
12.6.6.3 Brazil Smart Hospitality Market By Solution Type
12.6.6.4 Brazil Smart Hospitality Market By End User
12.6.7 Argentina
12.6.7.1 Argentina Smart Hospitality Market By Offerings
12.6.7.2 Argentina Smart Hospitality Market By Deployment
12.6.7.3 Argentina Smart Hospitality Market By Solution Type
12.6.7.4 Argentina Smart Hospitality Market By End User
12.6.8 Colombia
12.6.8.1 Colombia Smart Hospitality Market By Offerings
12.6.8.2 Colombia Smart Hospitality Market By Deployment
12.6.8.3 Colombia Smart Hospitality Market By Solution Type
12.6.8.4 Colombia Smart Hospitality Market By End User
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Smart Hospitality Market By Offerings
12.6.9.2 Rest of Latin America Smart Hospitality Market By Deployment
12.6.9.3 Rest of Latin America Smart Hospitality Market By Solution Type
12.6.9.4 Rest of Latin America Smart Hospitality Market By End User
13 Company Profile
13.1 IBM
13.1.1 Company Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Huawei
13.2.1 Company Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 NEC.
13.3.1 Company Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Cisco.
13.4.1 Company Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Honeywell.
13.5.1 Company Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Sabre.
13.6.1 Company Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Siemens AG.
13.7.1 Company Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Global Business Solutions.
13.8.1 Company Overview
13.8.2 Financials
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Oracle.
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Infor.
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
13.11 Schneider Electric
13.11.1 Company Overview
13.11.2 Financials
13.11.3 Product/Services/Offerings
13.11.4 SWOT Analysis
13.11.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3 Mergers & Acquisitions
15. USE Cases and Best Practices
16. Conclusion
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When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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