Global Cloud Advertising Market was valued at USD 7.37 billion in 2021 and is expected to reach USD 8.90 billion by the year 2028, at a CAGR of 18.4%
Cloud advertising solutions are used as building blocks for virtual advertising platforms on online and social media websites. It provides better and more effective advertisement of various brands and services. Cloud advertising services help companies at different phases of an advertisement, Cloud advertising services offer fixed prices whenever the ad is about to reach the end-users. Cloud advertising systems assist companies in advertising their products in several regions. The cloud advertisement provides a broad range of tools and services for different businesses like business-to-business and business-to-consumer both sides.
Major Key Players for Cloud Advertising Market:
- Adobe (US)
- Oracle (US)
- Salesforce (US)
- Google (US)
- IBM (US)
- SAP (Germany)
- Acquia (US)
- Demandbase (US)
- Experian (US)
- Kubient (US)
- FICO (US)
- HubSpot (US)
- Imagine Communications (US)
- InMobi (India)
- Marin Software (US)
- Sitecore (US)
- MediaMath (US)
- Nielsen (US)
- PEGA (US)
- Sailthru (US) and others major players.
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The global Cloud Advertising size is segmented on the basis of application, end user, and region, with a focus on manufacturers in different regions. The study has detailed the analysis of different factors that increase the industry’s growth. This study also provides the scope of different segments and applications that can potentially influence the industry in the future. Pricing analysis is covered in this report according to each type, manufacturer, regional analysis, and price. The Cloud Advertising Share report provides an overview of market value structure, cost drivers, and various driving factors and analyzes the industry atmosphere, then studies the global outline of industry size, demand, application, revenue, product, region, and segments. In addition, this report introduces the market competition situation among the distributors and manufacturers profile, market value analysis, and cost chain structure are covered in this report.
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Cloud Advertising Market Segmentation:
- Public Cloud
- Private Cloud
- Hybrid Cloud
By End Users
- Retail and consumer goods
- North America (U.S., Canada, Mexico)
- Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
- South America (Brazil, Argentina, Rest of SA)
Covid19 Impact on Cloud Advertising Market
The need to keep employees safe during COVID19 has forced many companies to change their rules and policies. The main cause of the business interruption was the inability to move the workforce and coordinate human resources as before. Such sudden disruption has caused momentarily disruption but due to high demand of cloud-based services and work from home facilities by companies, IT sector and cloud services were hardly affected. Ecommerce platform have seen large traffic for essential goods and services opened the demand for cloud-based support and a cloud advertising services to process huge consumer analytics which boosted the Cloud Advertising Market during pandemic. Covid19 Pandemic have forced companies to change the way they work and rethink operational options. Governments Are Working Closely with Cloud Providers to Combat the COVID19 Pandemic.
Key Industry Development:
- In February 2022, Digital experience company Acquia announced the launch of its new Drupal Cloud hosting solution for customers in the United Kingdom. This service is particularly made to attract UK government authorities or businesses working with the government.
- In January 2021, Google Cloud and SAP SE announced an expanded strategic partnership to help customers execute business transformations, migrate critical business systems to the cloud, and augment existing business systems with Google Cloud capabilities in artificial intelligence (AI) and machine learning (ML).
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