Cloud AI Market to Grow with a CAGR of 39.11% Globally through to 2028
Global Cloud AI Market is rising due to Increasing Data
Generation and Storage Needs in the forecast period
2024-2028.
According to TechSci Research report, “Global Cloud
AI Market - Industry Size, Share, Trends, Competition Forecast &
Opportunities, 2028”, Global
Cloud AI Market was valued at USD 51.03 Billion in 2022 and is anticipated to
project robust growth in the forecast period with a CAGR of 39.11% through 2028. The Global Cloud AI Market is
presently undergoing a significant transformation, driven by the surging demand
for efficient and sustainable cooling solutions in an increasingly digital and
data-centric world. Cloud AI solutions, celebrated for their prowess in optimizing
data center operations and reducing energy consumption, are becoming a
cornerstone of modern data center management, addressing the challenges of heat
dissipation and environmental sustainability. This exploration delves into how Cloud
AI technology is driving substantial changes across industries, ensuring the
efficient and eco-friendly operation of data centers in an era where
sustainability and efficiency are paramount.
Browse over 26 market data Figures spread
through 91 Pages and an in-depth TOC on "Global Cloud AI Market”.
The Global Cloud AI Market is currently witnessing a
remarkable surge in growth, primarily driven by the escalating demand for
robust cybersecurity solutions in an increasingly digital and cloud-centric
world. Cloud AI solutions, celebrated for their adeptness in safeguarding
critical workloads and data within cloud environments, are assuming an
indispensable role in redefining cybersecurity strategies and bolstering
organizations against the ever-evolving panorama of cyber threats. This
exploration delves deep into the transformative impact of Cloud AI across
various industries, ensuring the secure operation of cloud-based workloads and
data in an era where cybersecurity takes center stage.Cloud AI has
unquestionably emerged as the linchpin of modern cybersecurity in the digital
age. As organizations migrate their operations to the cloud, the need for
comprehensive protection against a multitude of cyber threats becomes
increasingly imperative. Cloud AI solutions offer a multi-pronged defense
strategy, encompassing real-time threat detection, vulnerability assessment,
and automated responses to security incidents, thereby fortifying the
resilience of cloud-based assets.
A paramount catalyst for the adoption of Cloud AI is
the surging complexity of the contemporary threat landscape. Cyber adversaries
are perpetually devising novel tactics and techniques to exploit
vulnerabilities in cloud environments. These include highly sophisticated
malware strains, insidious ransomware attacks, and stealthy data breaches, all
of which have the potential to disrupt operations and compromise sensitive
data. Cloud AI solutions harness advanced threat intelligence, machine
learning, and behavioral analytics to swiftly identify and mitigate these
emerging threats, ensuring the security and uninterrupted availability of cloud
workloads. Furthermore, the ascendancy of cloud-native technologies such as
containers and serverless computing is heralding a paradigm shift in the
cybersecurity landscape. While these technologies offer unparalleled agility
and scalability, they simultaneously introduce unique security challenges. Cloud
AI solutions are continually evolving to address these challenges, furnishing
specialized security measures tailored to containers and serverless
applications. These encompass features such as real-time vulnerability
scanning, runtime protection, and robust API security, all designed to
safeguard these cloud-native assets effectively.
The imperatives of regulatory compliance and data
privacy regulations are also serving as catalysts for the widespread adoption
of Cloud AI solutions. Organizations are compelled to adhere to stringent
compliance requirements to safeguard sensitive data and maintain the trust of
their customers. Cloud AI solutions emerge as indispensable allies in achieving
compliance by meticulously monitoring and enforcing security policies,
encrypting data, and generating comprehensive audit trails for compliance
reporting. The global shift toward remote and distributed workforces has
further accentuated the exigency of cloud security. With employees accessing
cloud resources from diverse locations and a variety of devices, the imperative
of securing cloud workloads has ascended to the zenith of organizational
priorities. In this context, Cloud AI solutions bestow organizations with the
capability to extend security measures seamlessly to remote users and devices,
thereby ensuring unwavering protection regardless of the user's location. In
conclusion, the Global Cloud AI Market is presently in the throes of a profound
transformation, propelled by the imperative of cybersecurity in a digital and
cloud-centric world. These solutions stand resolutely at the vanguard of
safeguarding cloud-based workloads, applications, and data, guaranteeing their
secure and uninterrupted operation. As cloud technology continues to advance,
the incontrovertible significance of Cloud AI in shaping the future of
cybersecurity is poised to foster innovation, resilience, and unwavering
confidence in an ever-evolving digital landscape.
Healthcare is the dominating segment in the global Cloud
AI market by vertical. There are a few
reasons for the dominance of the healthcare segment in the global Cloud AI
market. First, the healthcare industry is a large and growing industry. Second,
the healthcare industry is facing a number of challenges, such as the rising
cost of healthcare and the increasing prevalence of chronic diseases. Cloud AI
can help the healthcare industry to address these challenges by improving the
efficiency and effectiveness of healthcare delivery. Here are some of the key
factors driving the growth of the Cloud AI market in the healthcare segment: The
increasing adoption of cloud computing in the healthcare industry: Cloud
computing platforms provide the scalability and computing power needed to train
and deploy Cloud AI models. The increasing availability of large datasets in
the healthcare industry: The healthcare industry is generating a large amount
of data, such as electronic health records (EHRs) and medical images. This data
can be used to train Cloud AI models to improve the accuracy of diagnosis and
treatment.
The increasing demand for AI-powered healthcare
applications: Healthcare organizations are increasingly adopting AI-powered
healthcare applications to improve the quality of care and reduce costs.
Major companies operating in Global Cloud AI Market
are:
- Amazon.com, Inc.
- Microsoft Corporation
- Alphabet Inc.
- International Business Machines
Corporation
- Salesforce.com, Inc.
- Oracle Corporation
- SAP SE
- NVIDIA Corporation
- Intel Corporation
- Dell Technologies Inc.
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“"The Global Cloud AI Market is presently
experiencing a remarkable surge in growth, primarily driven by the escalating
demand for robust cybersecurity solutions in an increasingly digital and
cloud-centric world. Cloud AI solutions, celebrated for their adeptness in
safeguarding critical workloads and data within cloud environments, are
assuming an indispensable role in redefining cybersecurity strategies and
bolstering organizations against the ever-evolving panorama of cyber threats.
This exploration delves into the transformative impact of Cloud AI across
various industries, ensuring the secure operation of cloud-based workloads and
data in an era where cybersecurity takes center stage. Cloud AI has
unquestionably emerged as the linchpin of modern cybersecurity in the digital
age. As organizations migrate their operations to the cloud, the need for
comprehensive protection against a multitude of cyber threats becomes
increasingly imperative. Cloud AI solutions offer a multi-pronged defense
strategy, encompassing real-time threat detection, vulnerability assessment,
and automated responses to security incidents, thereby fortifying the
resilience of cloud-based assets. A paramount catalyst for the adoption of Cloud
AI is the surging complexity of the contemporary threat landscape. Cyber
adversaries are perpetually devising novel tactics and techniques to exploit
vulnerabilities in cloud environments. These include highly sophisticated
malware strains, insidious ransomware attacks, and stealthy data breaches, all
of which have the potential to disrupt operations and compromise sensitive
data. Cloud AI solutions harness advanced threat intelligence, machine
learning, and behavioral analytics to swiftly identify and mitigate these
emerging threats, ensuring the security and uninterrupted availability of cloud
workloads. Furthermore, the ascendancy of cloud-native technologies such as
containers and serverless computing is heralding a paradigm shift in the
cybersecurity landscape. While these technologies offer unparalleled agility
and scalability, they simultaneously introduce unique security challenges. Cloud
AI solutions are continually evolving to address these challenges, furnishing
specialized security measures tailored to containers and serverless
applications. These encompass features such as real-time vulnerability
scanning, runtime protection, and robust API security, all designed to
safeguard these cloud-native assets effectively. The imperatives of regulatory
compliance and data privacy regulations are also serving as catalysts for the
widespread adoption of Cloud AI solutions. Organizations are compelled to
adhere to stringent compliance requirements to safeguard sensitive data and
maintain the trust of their customers. Cloud AI solutions emerge as
indispensable allies in achieving compliance by meticulously monitoring and
enforcing security policies, encrypting data, and generating comprehensive
audit trails for compliance reporting. The global shift toward remote and
distributed workforces has further accentuated the exigency of cloud security.
With employees accessing cloud resources from diverse locations and a variety
of devices, the imperative of securing cloud workloads has ascended to the
zenith of organizational priorities. In this context, Cloud AI solutions bestow
organizations with the capability to extend security measures seamlessly to
remote users and devices, thereby ensuring unwavering protection regardless of
the user's location. In conclusion, the Global Cloud AI Market is presently in
the throes of a profound transformation, propelled by the imperative of
cybersecurity in a digital and cloud-centric world. These solutions stand
resolutely at the vanguard of safeguarding cloud-based workloads, applications,
and data, guaranteeing their secure and uninterrupted operation. As cloud
technology continues to advance, the incontrovertible significance of Cloud AI
in shaping the future of cybersecurity is poised to foster innovation,
resilience, and unwavering confidence in an ever-evolving digital landscape.”
said Mr. Karan Chechi, Research Director with TechSci Research, a
research-based management consulting firm.
“Cloud AI
Market – Global Industry Size, Share, Trends, Opportunity, and Forecast,
Segmented By Technology (Deep Learning, Machine Learning,
Natural Language Processing, Others), By Type (Solution, Services), By Vertical
(Healthcare, Retail, BFSI, IT & Telecommunication, Government,
Manufacturing, Automotive & Transportation, Others), By Region, By Competition”, has evaluated the future growth potential of Global
Cloud AI Market and provides statistics & information on market size,
structure and future market growth. The report intends to provide cutting-edge
market intelligence and help decision makers take sound investment decisions.
Besides, the report also identifies and analyzes the emerging trends along with
essential drivers, challenges, and opportunities in Global Cloud AI Market.
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