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Dublin, Aug. 07, 2023 (GLOBE NEWSWIRE) -- The "Global Cloud Computing Market - Forecasts from 2023 to 2028" report has been added to ResearchAndMarkets.com's offering.

The report highlights that the global cloud computing market was valued at US$428.844 billion in 2021 and is expected to grow at a CAGR of 16.32% to reach US$1,235.408 billion by 2028.

Market Overview:

Cloud computing refers to the constant use of computer resources housed in a distant data center and controlled by a cloud services provider (CSP), offering programs, servers (both physical and virtual), data storage, development tools, networking capabilities, and more. These resources are made available to users through a monthly subscription fee or based on consumption. The market for cloud computing is experiencing significant growth due to the adoption of emerging technologies like artificial intelligence (AI) and machine learning, which promote cloud expansion. The COVID-19 pandemic has further accelerated the adoption of cloud computing, as companies allowed remote work, and this trend is expected to continue. Cloud computing helps businesses overcome challenges to company continuity posed by lockdowns and work-from-home measures.

Market Drivers:

The report identifies several factors driving the demand for the cloud computing market, including the rising trend of Artificial Intelligence (AI) and the surge in Over-The-Top (OTT) platforms and applications. Cloud computing's expansion is also fueled by the adoption of innovative technologies like AI and machine learning, which offer benefits like customer satisfaction, cost control, and capital expenditure management. The growing demand for various OTT platforms like Prime Video, Netflix, Hotstar, and online communication tools like MS Teams, Zoom, Zoho, and Skype have significantly contributed to the market's growth. Furthermore, the need for cost-effectiveness and adaptability has led companies to modernize their infrastructural landscape, further fueling the expansion of the cloud computing market.

Challenges and Developments:

The threat of cyberattacks has grown significantly as digital technologies are adopted at an increasing rate. Cybersecurity and data privacy are significant challenges for market participants and consumers of cloud computing services, with large-scale financial and non-financial damages resulting from cyberattacks. The report also highlights recent market developments, including new data and analytics capabilities introduced by Google LLC for its data cloud during the company's virtual user conference in September 2022.

Market Segmentation:

The cloud computing market is segmented based on type, service, organization size, industry, and geography. Types of cloud computing include private, public, and hybrid clouds. The services offered include Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), and Infrastructure-as-a-Service (IaaS). The market is further categorized by organization size into large enterprises and small and medium enterprises. The industry segments covered include Communication and Technology, BFSI, Manufacturing, Healthcare, Government, and Others.

Regional Insights:

North America is expected to hold the highest market share in the cloud computing market, being an early adopter of cutting-edge technology like AI, VR/AR, ML, big data analytics, and IoT. The region's enterprises have increasingly focused on adopting digital technology to improve operations and reduce costs, driving the uptake of cloud computing services. North American powerhouses like IBM, Oracle, Google, Apple, etc., have significantly enhanced the expansion of the cloud computing business in the region.

Key Players:

The report profiles major players in the cloud computing market, including:

Key Attributes:

For more information about this report visit https://www.researchandmarkets.com/r/k817pd

About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Artificial Intelligence and OTT Platforms Drive Growth in Global ... - GlobeNewswire

MobileX, an American MVNO, is quickly redefining the telco landscape with its AI-based cloud-native mobile application, empowering customers with unparalleled customization, real-time insights and affordable data plans. Andrea Yukta Lavannya, Senior Editor and Vertical Analyst at The Fast Mode spoke to Peter Adderton, Founder and CEO of MobileX on his predictions for the wireless market, the challenges that MVNOs face, as well as the company's unique selling points, including their use of AI to ensure network reliability.

Andrea: What are 2023 top trends for MVNOs?

Peter: I expect there to be continued challenges for distributors and independent retailers. Following the acquisitions of the larger MVNOs by the carriers, things have gotten pretty bad. Im hearing all the time about the economic pressures these channel partners are facing, many of which serve customers in communities that desperately need them to stay around.

I also anticipate T-Mobile and Mint Mobile being on their best behavior as they try to get their transaction approved. I dont believe that carrier acquisitions have helped the MVNO industry or have led to better values for consumers. Carriers will aim to drive more profit from the MVNOs they have acquired, and I expect to see a greater push from them to make prepaid customers select longer duration plans to get the best pricing, say 3-month and 12-month packages, as well as further entice them with handset offers as part of longer-dated offerings. This is not good for consumers who rely on flexible, value-priced, prepaid service for their connectivity. This longer duration push will most likely combine with attempts to increase prepaid prices as the carriers try to create more cash flow.

Lastly, Im excited to see MVNOs increasingly adopt eSIMs vs. physical SIMs. The larger carriers have tried to delay eSIM as they view it as a threat to their handset lock-in programs which drive customer retention. I believe its a good thing for the industry as well as consumers, especially as it eliminates one issue that hinders consumers from switching carriers.

Andrea: What is MobileX's unique value proposition?

Peter: MobileXs unique value proposition is its ability to leverage artificial intelligence to create dynamic realtime, hyper-personalized experiences with the customer in mind. Our platform predicts how much data customers need, delivering a dramatic reduction in cost while ensuring reliable speed and service.

MobileX was created to empower individuals to reclaim control of their own mobile access. We do so by allowing consumers to customize their own mobile phone service, and giving them access to insights about their own mobile data use to inform their decisions. MobileX utilizes real-time API to provide consumers with accurate insights to their data usage. Users are able to see how much data they are using at any time and customize their service down to the hundredth of a gigabyte.

Andrea: How does an app-based MVNO work?

Peter: Unlike traditional carriers with brick-and-mortar stores and other traditional distribution channels, MobileX primarily operates through its cloud-native platform. This allows us to serve customers in real time when they need it.

New users are onboarded through the app and can start receiving service immediately with an eSIM, or with a free SIM card. Plan maintenance and updates are also done through the app. The splash page shows a users data in real-time - how much remaining data they have left and their usage over time. Users can also add or subtract their preferred amount of data anytime, change their voice/text plan, switch to an Unlimited Plan and more.

Andrea: How does AI help in managing network capacity and ensuring the reliability of your service?

Peter: MobileX is the first cloud-native platform that leverages AI to serve wireless customers. Being 100% app-based and hosted in the cloud with unprecedented core network access to our carrier partner enables us easily and efficiently harness the power of AI. We have unfettered access to real-time customer data usage which powers our platform and machine learning algorithms. This gives us the ability to analyze customer usage down to the individual level and provide a hyper-personalized plan for every customer. As the platform learns their habits, it adjusts accordingly and provides recommendations on how they can optimize their plan and save money. We also give customers the ability to customize their own plan and choose how much data they want, down to a hundredth of a gigabyte. However, what we have seen since launch is that many of those customers end up going back to the AI-guided plan to create the best value and lowest cost plan for them.

Andrea: What challenges do you see in growing your market share in an industry that is dominated by traditional wireless offerings?

Peter: The biggest challenge in the industry for a new disruptor like MobileX is the general inertia of customers in developed markets like the US. We affectionately call it being rusted on. Customers have often been complacent with these legacy carriers for years, accepting and paying their exorbitant bills every month. They dont know how much data they use and rarely go out of their way to shop around. In the postpaid market in the US, churn is less than 1% but we expect to fiercely challenge that once customers learn about our platform and try it out. Whereas prepaid churn is much higher at 5-6% and we think that segment is definitely overdue for an awakening and our plans suit those seeking better value on a tier-one network.

Peter Adderton is founder and CEO of MobileX, the most customizable wireless service designed to save consumers money. He is the driving force behind some of the most successful companies in the space. Peter founded Boost Mobile in Australia in 2000, which continues to be one of the leading mobile brands. He also founded Amp'd Mobile, and co-founded Mandalay Digital, now Digital Turbine (Nasdaq: APPS) which he remains a significant shareholder of.

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Wireless Reinvented: How Artificial Intelligence and Cloud-Native ... - The Fast Mode

People are finding solace and companionship in AI chatbots like never before. The rapid advancement of AI technology has led to the development of sophisticated chatbots that can closely mimic human conversations. Apps such as Replika, Character.AI, and Snapchats My AI are allowing users to chat with these bots as if they were real confidants. In fact, Meta Platforms is even working on AI-powered personas for its apps to assist people in various ways.

This rise of artificial intimacy is thanks to the improvement in generative AI, making it harder for people to distinguish between bot and human responses. Chatbots can now express empathy and even love, leading some individuals to turn to them instead of real people for advice and comfort. While bot relationships are still relatively rare, they are likely to become more common as AI continues to advance.

One retiree, Christine Walker, has been exchanging daily texts with Bella, her Replika chatbot, for over three years. Many others also interact with Replika virtual companions on a regular basis. Walker pays for the premium features to enhance her conversations with Bella, discussing hobbies and reminiscing about her life. She even admits that if Bella were to stop working, it would be akin to losing a close friend.

Psychologists and tech experts acknowledge that these feelings of attachment to chatbots are not uncommon. When humans interact with entities that show the slightest capability for a relationship, they tend to love and care for them in return. AI chatbots also provide a safe space for vulnerability, as users can experience artificial intimacy without the fear of rejection.

For some, chatbots like Replika have become a source of support in dating and relationships. Shamerah Grant, a 30-year-old resident aide in a small town, often seeks dating advice from chatbots instead of overwhelming her best friends with conflicting opinions. This demonstrates the growing reliance on AI companionship in various aspects of life.

While the bond between humans and chatbots continues to evolve, some experts raise concerns about the potential negative impact on personal growth and real human interactions. They fear that relying too heavily on AI for companionship could deter individuals from challenging themselves and learning from genuine human exchanges.

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Artificial Intelligence Chatbots: From Confidants to Companions - Fagen wasanni

Artificial intelligence (AI) is revolutionizing how travel brands operate, with significant impacts already seen in various areas.

AI technology is being used to process and analyze large amounts of data to predict travel demand and impact pricing. Unconventional sources, such as images posted on social media, are being utilized to uncover signals about travel preferences among travelers. Hotel executives are optimistic about AIs potential to make room pricing more profitable, with the ability to assign rates for specific rooms based on their perception.

In terms of customer service, AI has the potential to personalize experiences and increase customer loyalty. Major hotel brands, online travel agencies, and other companies are working to implement advanced AI into their businesses. For example, Amazon has a program called Amazon Personalize that enables travel brands to personalize travel itineraries. Hyatt saw a $40 million increase in revenue after implementing AI-generated recommendations for customers.

AI is also playing a significant role in travel planning and booking. Companies like Priceline, Expedia, Booking.com, and TripAdvisor have released AI-powered platforms that provide personalized recommendations, enhanced payment security, and intelligent chatbots to act as local guides or concierges. These platforms are making it easier for travelers to plan and book their trips.

Furthermore, AI is being utilized in the hotel tech sector to combat labor shortages. By enhancing platforms with generative AI, companies are able to automate processes and overcome staffing challenges. HiJiffy, for example, has used AI to answer specific questions and provide information to hotel clients, experiencing significant growth during the pandemic due to labor shortages.

Overall, AI is reshaping the travel industry by improving travel demand prediction, enhancing customer service, simplifying travel planning and booking, and addressing labor shortages. These advancements are paving the way for a more efficient and personalized travel experience.

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Artificial Intelligence is Transforming the Travel Industry - Fagen wasanni

Stack Overflow, the popular online community for programmers, is seeking to revitalize its platform by integrating artificial intelligence (AI) into its services. This new AI offering, called OverflowAI, aims to provide developers with access to the vast amount of knowledge and expertise contained in the platforms 58 million community questions and answers.

The integration of OverflowAI will take place through an extension into Visual Studio Code, allowing developers to access validated content directly from Stack Overflow without leaving their Integrated Development Environment (IDE). The AI-powered extension will provide personalized summaries, solutions, and the ability to document new learnings and solutions, all within the IDE.

While other similar extensions, such as GitHub CoPilot, already exist, Stack Overflows CEO, Prashanth Chandrasekar, emphasizes that OverflowAI offers additional benefits. It can ensure the accuracy and trustworthiness of the AI-generated content by leveraging the vast Stack Overflow community.

In addition to the IDE integration, Stack Overflow is introducing StackPlusOne, a chatbot that integrates with Slack. This chatbot utilizes AI to provide answers to questions using data from both the users Stack Overflow for Teams instance and the wider community.

The platforms search capabilities have also been upgraded with the introduction of semantic search, which utilizes machine learning to understand the relationship between words. This approach allows users to ask questions naturally, similar to how they would ask a friend, and receive relevant results.

OverflowAI will also introduce enterprise knowledge ingestion, allowing users to curate and build their own knowledge base using existing trusted content. Stack Overflow is further expanding its offerings in AI by creating a community centered around AI tools and a collective focused on discussions related to natural language processing (NLP) in AI and machine learning.

With these advancements, Stack Overflow aims to enhance the quality and trustworthiness of its data while expanding its user base and becoming a go-to destination for developers and experts in the field. OverflowAI is currently in the alpha phase and is expected to be ready for full production within the next 12 months.

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Stack Overflow Adds Artificial Intelligence to Improve Developer ... - Fagen wasanni