During a March 2023 survey, when asked about their primary ways of using artificial intelligence (AI) for marketing purposes, 53 percent of responding professionals said they did not use AI in any field. Among the main areas in which marketers used AI stood customer service and support, as well as advertisement targeting and analysis, with 19 and 18 percent, respectively.

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Cloud Artificial Intelligence (AI) Market Size 2024-2028

The cloud artificial intelligence (ai) market size is forecast to increase by USD 12.61 billion at a CAGR of 24.1% between 2023 and 2028.

The market is experiencing significant growth, driven by the emergence of technologically advanced devices and the increasing adoption of 5G and mobile penetration. These factors enable the integration of AI technologies into various applications, leading to improved efficiency and productivity. However, the market also faces challenges from open-source platforms, which offer free AI solutions, making it difficult for market players to compete on price. Despite this, the market is expected to continue its growth trajectory, driven by the increasing demand for AI solutions in various industries, including healthcare, finance, and retail. Organizations are leveraging cloud-based AI solutions to gain insights from their data, automate processes, and enhance customer experiences.The market analysis report provides a comprehensive overview of these trends and challenges, offering valuable insights for stakeholders looking to capitalize on the growth opportunities In the cloud AI market.

What will be the Size of the Cloud Artificial Intelligence (AI) Market During the Forecast Period?

Request Free SampleThe market is experiencing robust growth, driven by the increasing adoption of machine learning (ML), deep learning, neural networks, and generative AI technologies. These advanced algorithms are revolutionizing various industries by emulating human intelligence in speech recognition, digital media, diagnostics, cybersecurity, and business decision-making. Hyperscale cloud platforms are becoming the preferred infrastructure for AI applications due to their ability to handle massive data processing requirements. Cloud AI solutions are transforming IT services by automating routine tasks, enhancing data analytics, and improving human capital management. They offer significant cost savings by eliminating the need for expensive hardware and maintenance. Moreover, AI-driven cloud management and data management solutions enable predictive analytics, personalization, productivity, and security enhancements.In addition, AI is playing a pivotal role in threat detection and cybersecurity, ensuring business continuity and data protection. Overall, the cloud AI market is poised for exponential growth, as organizations continue to leverage AI to gain a competitive edge In their respective industries.

How is this Cloud Artificial Intelligence (AI) Industry segmented and which is the largest segment?

The cloud artificial intelligence (ai) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentSoftwareServicesGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanSouth AmericaMiddle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) software replicates human learning and behavior, revolutionizing various business sectors. AI development involves creating new software or enhancing existing solutions to deliver analytics results and trigger actions based on them. Applications of AI include automating business processes, personalizing services, and generating industry-specific insights. The digitization trend has driven industrial transformations, with healthcare being a prime example. According to BDO's Healthcare Digital Transformation Survey, 93% of US healthcare organizations adopted digital transformation strategies in 2021, integrating AI, computing, and enterprise resource planning software. AI functionality encompasses speech recognition, machine learning (ML), deep learning, neural networks, generative AI, automation, decision-making, and more.Hyperscale cloud platforms, IT services, infrastructure, data analytics, human capital management, cost savings, cloud management, data management, predictive analytics, personalization, productivity, security, threat detection, integration, talent gap, and chatbots are significant AI applications. AI tools process data, power business intelligence, and enable lower costs through ML-based models and GPUs. Enterprise datacenters, virtualization, public clouds, private clouds, and hybrid cloud solutions leverage AI for non-repetitive tasks. AI streamlines workloads, automates repetitive tasks, monitors and manages IT infrastructure, and offers dynamic cloud services. AI is transforming industries, from retail inventory management to financial organizations, providing competitive advantages through cost savings and improved decision-making capabilities.

Get a glance at the Cloud Artificial Intelligence (AI) Industry repo

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around 126 billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning.

What is artificial intelligence?

Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots.

Investments in AI

Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.

The Artificial Intelligence Market estimated size and share is projected to exceed USD 3,582.75 billion by 2034, with a forecasted CAGR of 31.3% during the period.

According to Cognitive Market Research, the global Ai Training Data market size is USD 1865.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 23.50% from 2023 to 2030.

The demand for Ai Training Data is rising due to the rising demand for labelled data and diversification of AI applications.
Demand for Image/Video remains higher in the Ai Training Data market.
The Healthcare category held the highest Ai Training Data market revenue share in 2023.
North American Ai Training Data will continue to lead, whereas the Asia-Pacific Ai Training Data market will experience the most substantial growth until 2030.

Market Dynamics of AI Training Data Market

Key Drivers of AI Training Data Market

Rising Demand for Industry-Specific Datasets to Provide Viable Market Output

A key driver in the AI Training Data market is the escalating demand for industry-specific datasets. As businesses across sectors increasingly adopt AI applications, the need for highly specialized and domain-specific training data becomes critical. Industries such as healthcare, finance, and automotive require datasets that reflect the nuances and complexities unique to their domains. This demand fuels the growth of providers offering curated datasets tailored to specific industries, ensuring that AI models are trained with relevant and representative data, leading to enhanced performance and accuracy in diverse applications.

In July 2021, Amazon and Hugging Face, a provider of open-source natural language processing (NLP) technologies, have collaborated. The objective of this partnership was to accelerate the deployment of sophisticated NLP capabilities while making it easier for businesses to use cutting-edge machine-learning models. Following this partnership, Hugging Face will suggest Amazon Web Services as a cloud service provider for its clients.

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Advancements in Data Labelling Technologies to Propel Market Growth

The continuous advancements in data labelling technologies serve as another significant driver for the AI Training Data market. Efficient and accurate labelling is essential for training robust AI models. Innovations in automated and semi-automated labelling tools, leveraging techniques like computer vision and natural language processing, streamline the data annotation process. These technologies not only improve the speed and scalability of dataset preparation but also contribute to the overall quality and consistency of labelled data. The adoption of advanced labelling solutions addresses industry challenges related to data annotation, driving the market forward amidst the increasing demand for high-quality training data.

In June 2021, Scale AI and MIT Media Lab, a Massachusetts Institute of Technology research centre, began working together. To help doctors treat patients more effectively, this cooperation attempted to utilize ML in healthcare.

www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/

Restraint Factors Of AI Training Data Market

Data Privacy and Security Concerns to Restrict Market Growth

A significant restraint in the AI Training Data market is the growing concern over data privacy and security. As the demand for diverse and expansive datasets rises, so does the need for sensitive information. However, the collection and utilization of personal or proprietary data raise ethical and privacy issues. Companies and data providers face challenges in ensuring compliance with regulations and safeguarding against unauthorized access or misuse of sensitive information. Addressing these concerns becomes imperative to gain user trust and navigate the evolving landscape of data protection laws, which, in turn, poses a restraint on the smooth progression of the AI Training Data market.

How did COVID–19 impact the Ai Training Data market?

The COVID-19 pandemic has had a multifaceted impact on the AI Training Data market. While the demand for AI solutions has accelerated across industries, the availability and collection of training data faced challenges. The pandemic disrupted traditional data collection methods, leading to a slowdown in the generation of labeled datasets due to restrictions on physical operations. Simultaneously, the surge in remote work and the increased reliance on AI-driven technologies for various applications fueled the need for diverse and relevant training data. This duali...

The AI Avatars Software market is rapidly evolving, driven by the increased demand for personalized digital interactions across various industries. This innovative technology utilizes artificial intelligence to create lifelike avatars that can perform diverse roles, from virtual customer support representatives to a

Market Overview

The global Agentic AI market is experiencing an extraordinary transformation as intelligent software agents that autonomously perceive, decide, and act are becoming integral components of digital enterprise transformation. Based on extensive analysis, the market size of Agentic AI market was valued at USD 5.1 billion in 2024 and is forecast to reach around USD 150 billion by 2033, driven by powerful growth factors and robust compound annual growth rates (CAGR) estimated at nearly 35% from 2025 to 2033. This explosive expansion is fueled by the rapid digitalization of enterprises, strong government and R&D funding, and the increasing need for automation to improve operational efficiency and reduce human error by up to 40% in some cases. Leading technology trends include advancements in machine learning models such as LLMs, increased data generation from IoT sensors, and the integration of low-latency connectivity enabled by global 5G rollouts, which together create a fertile environment for the adoption of agentic AI solutions.

Major industry reports and triangulated data from government sources, official annual reports, and regulatory filings consistently affirm that as organizations seek to streamline workflows and enhance real-time decision-making with autonomous agents, the market will begin its mainstream consolidation over the next decade. Enterprises spanning finance, healthcare, retail, IT, and manufacturing are incorporating intelligent solutions to optimize processes, reduce costs, and unlock new revenue streams from agent-driven automation. Furthermore, the steady integration of sophisticated AI agents into cloud and on-premise systems, coupled with the increasing penetration of AI software subscriptions and hardware investments, reinforces the market’s transformative potential. This enormous growth trajectory not only underlines agentic AI’s role as a key enabler of digital transformation but also highlights its potential to reshape entire industries.

Investor confidence and aggressive R&D investments by both entrenched tech giants and specialized agents have been a primary driver of this market’s momentum, especially as major vendors consistently report significant revenue contributions from their AI platforms. The market is set to witness an unparalleled increase in operational efficiency as large enterprises along with SMEs leverage cloud-based and hybrid AI solutions to deploy scalable, intelligent virtual agents. With wide-ranging applications from customer service chatbots to autonomous robotics and decision-support systems, the Agentic AI market is positioned to undergo a multi-fold expansion that mirrors the evolution witnessed in cloud computing over the past decade. Overall, the forecasted growth and expansion of the market underscore a pivotal shift in how digital businesses will operate through fully integrated intelligent agents.

The projected market figures, coupled with the impressive CAGR, indicate enormous potential for both existing vendors and new startups as they compete to capture market share in this high-growth environment. The strategic repositioning of traditional tech companies into agile, AI-driven solution providers and the entry of independent innovators have already started to blur traditional boundaries, leading to a more integrated ecosystem where hardware, software, and services combine for maximum impact. The quantitative data not only supports the promise of explosive scaling but also reinforces the expectation that agentic AI will become a cornerstone in delivering business-driven intelligence and automation for enterprises across the globe.

Year	Market Value (USD Millions)	Key Observations
2024 (Base Year)	5,100	Rapid Growth Phase; Early Mainstream Adoption
2033 (Forecast)	150,000	Agentic AI Mainstream Across Industries; High Scalability
CAGR (2025–2033)	~35%	Robust Growth Driven by Digital Transformation

The Visual AI Agents market is rapidly evolving, harnessing sophisticated technologies to transform industries by automating visual tasks that traditionally required human intervention. These AI-powered agents are designed to analyze, understand, and interpret visual data, thus offering solutions that enhance effici

The AI Industrial Endoscope market is rapidly evolving as a critical component in infrastructure maintenance, quality assurance, and safety inspection across various industries, from manufacturing to aerospace. These advanced instruments leverage artificial intelligence to provide real-time insights and assessments,

The Artificial Intelligence (AI) in Financial Services market is rapidly evolving, reshaping the landscape of banking, investment, and insurance sectors through advanced data analytics and automation. As financial institutions increasingly leverage AI technologies, they are transforming operations, enhancing custome

The AI ECG Analysis Tool market is rapidly evolving, leveraging cutting-edge technology to enhance cardiac care and diagnostics. As healthcare systems increasingly adopt artificial intelligence, the demand for AI-driven solutions in electrocardiogram (ECG) analysis is growing significantly. These tools utilize advan

According to the survey conducted in the United States in June 2023, 44 percent of small business (SMB) owners and marketing decision-makers stated that their biggest concern regarding using artificial intelligence (AI) and/or automation technology for marketing purposes was their data security. Concerns about the price of implementation of the technology followed with 41 percent.

The Deepfake AI Market Share size and share are expected to exceed USD 25,495.16 million by 2034, with a compound annual growth rate (CAGR) of 41.5% during the forecast period.

The AI in Healthcare market is gaining tremendous momentum, revolutionizing the way medical professionals diagnose, treat, and manage patient care. The integration of artificial intelligence technologies, such as machine learning, natural language processing, and predictive analytics, is enhancing healthcare operati

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Artificial Intelligence (AI) In Food And Beverage Industry Market Size 2025-2029

The artificial intelligence (ai) in food and beverage industry market size is forecast to increase by USD 32.2 billion at a CAGR of 34.5% between 2024 and 2029.

The Artificial Intelligence (AI) market in the Food and Beverage Industry is experiencing significant growth due to the rising demand for automation to enhance productivity and efficiency. The integration of AI and the Internet of Things (IoT) in this sector is revolutionizing various processes, from supply chain management to quality control and customer experience. However, the lack of skilled personnel with expertise in AI and data analytics poses a challenge for market expansion. Key drivers for the market include the increasing adoption of advanced technologies to optimize production processes, reduce costs, and improve product quality. The integration of AI in food and beverage manufacturing enables predictive maintenance, real-time inventory management, and automated quality control, leading to increased operational efficiency and profitability. Additionally, AI-powered customer engagement tools offer personalized recommendations and improved customer experience, creating new revenue streams for companies. Despite these opportunities, the market faces challenges, including the need for significant investment in AI infrastructure and the lack of skilled personnel to implement and manage these systems. Companies seeking to capitalize on the AI market in the Food and Beverage Industry must focus on building a strong talent pool and collaborating with technology partners to overcome these challenges. By leveraging AI, food and beverage companies can gain a competitive edge, streamline operations, and deliver innovative products and services to meet evolving consumer demands.

What will be the Size of the Artificial Intelligence (AI) In Food And Beverage Industry Market during the forecast period?

Request Free SampleThe artificial intelligence (AI) and machine learning (ML) market in the food and beverage industry is experiencing significant growth due to the increasing adoption of these technologies to enhance supply chain management, predict consumer behavior, and optimize transportation. AI and ML are revolutionizing various aspects of the food and beverage sector, from recipe development and product tracing to supply chain efficiency and labor management. Predictive analytics is a key application of AI in the industry, enabling companies to anticipate demand patterns and optimize inventory levels. Social media channels are also leveraged to analyze consumer preferences and trends, informing product development and marketing strategies. The food and beverage industry faces a labor shortage, particularly in manual labor positions, leading to increased interest in automation and AI solutions. Large-scale implementation of AI in the industry is improving supply chain dynamics, reducing labor costs, and increasing speed and accuracy in various processes. Farmers are also utilizing AI and ML to optimize crop yields and manage resources more efficiently. Product tracing and quality control are other areas where AI is making a significant impact, ensuring food safety and transparency throughout the supply chain. Overall, the integration of AI and ML in the food and beverage industry is transforming business operations, enhancing customer experience, and driving growth in this dynamic market.

How is this Artificial Intelligence (AI) In Food And Beverage Industry Industry segmented?

The artificial intelligence (ai) in food and beverage industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeTransportation and logisticsProduction planningQuality controlOthersEnd-userFood processing industryHotels and restaurantsBeverage industryGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaSouth AmericaMiddle East and Africa

By Type Insights

The transportation and logistics segment is estimated to witness significant growth during the forecast period.In the food and beverage industry, there is a rising demand for artificial intelligence (AI) and machine learning solutions to optimize operations and enhance supply chain efficiency. This trend is driven by the need for flexibility and swift returns processing, as well as labor shortages and increasing labor costs. Advanced technologies, such as photoelectric sensors, material handling, and assembly applications, are being integrated into the industry to improve sorting processes, reduce contamination levels, and ensure uniformity in food storage. AI platforms are also being used for data analytics to better understand consumer purchasing beh

The AI in IoT market is expected to expand its roots at a steady CAGR of 6.4% during the forecast period. The market is likely to hold a revenue of US$ 82.1 billion in 2023 while it is anticipated to cross a value of US$ 153.1 billion by 2033.

Attributes	Details
AI in IoT Market CAGR (2023 to 2033)	6.4%
AI in IoT Market Size (2023)	US$ 82.1 billion
AI in IoT Market Size (2033)	US$ 153.1 billion

Country-wise Insights

Countries	Revenue Share % (2023)
United States	19.4%
Germany	9.4%
Japan	6.8%
Australia	2.8%
North America	29.4%
Europe	22.9%

Countries	CAGR % (2023 to 2033)
China	7.1%
India	6.8%
United Kingdom	5.5%

Category-wise Landscape

Category	By Component
Leading Segment	Platform
Market Share (2022)	47.3%

Category	By Technologies
Leading Segment	ML and Deep Learning
Market Share (2022)	79.4%

According to a May 2023 survey conducted among marketing professionals in the United States, United Kingdom, and Australia, 58 percent of respondents thought generative artificial intelligence (AI) would have a transformative impact on analyzing both market and performance data.

Artificial Intelligence in Agriculture Market Emerging Trends & Opportunities and It is Segmented by Application (weather Tracking, Precision Farming, Drone Analytics), Deployment (cloud, On-Premises, Hybrid), and Geography (North America, Europe, Asia-Pacific, and the Rest of the World). The Market Size and Forecasts are Provided in Terms of Value in USD for all the Above Segments.

Global legal AI software market size was $2,000 million in 2022 and is expected to have reached $5,000 million by 2030 with a CAGR of roughly 12.14%.

According to Cognitive Market Research, the global AI-based personalised Stylist market size will be USD 101.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 38.30% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 40.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.5% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 30.45 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 23.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 40.3% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 5.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.0% from 2024 to 2031.
The mobile apps category is the fastest growing segment of the AI-Based Personalized Stylist industry

Market Dynamics of AI-Based Personalized Stylist Market

Key Drivers for AI-Based Personalized Stylist Market

Rising Demand for Personalized Fashion Recommendations to Boost Market Growth

The market for personalized fashion recommendations is being driven by several key factors; The development of sophisticated algorithms that analyze vast amounts of consumer data (browsing habits, purchase history, body measurements, and even social media activity) enables more accurate and relevant fashion recommendations. This technological evolution is a key factor driving growth. Providing accurate and effective personalized recommendations relies on the quality of consumer data. Retailers may struggle with integrating data from different sources, leading to less effective personalization efforts and customer dissatisfaction. These drivers and restraints are shaping the growth trajectory of personalized fashion recommendations, as companies navigate the balance between innovation and addressing consumer concerns. For instance, to advance its personal recommendation technology, Lily AI raised capital in 2020. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding.

Advancements in machine learning algorithms

The availability of big datasets, advances in deep learning architectures, and rising computing power are the main forces behind developing machine learning algorithms. Scalable, rapid model training is made possible by distributed systems and cloud computing. The need for increasingly complex algorithms is fueled by the growth of artificial intelligence (AI) in sectors including healthcare, finance, and autonomous systems. Furthermore, data accessibility, open-source frameworks, and rising research and development expenditures in artificial intelligence fuel ongoing innovation and the real-world use of sophisticated machine learning models.

Restraint Factor for the AI-Based Personalized Stylist Market

High development costs limit accessibility for small-scale fashion retailers

Small-scale fashion stores have a considerable obstacle in the form of high development costs, which restrict their access to cutting-edge technologies and creative design methodologies. These merchants frequently have tight budgets, making it difficult for them to invest in cutting-edge production equipment, eco-friendly materials, and online marketing and sales platforms. Their growth potential is further limited by significant expenses related to supply chain management, branding, and scalability, which puts them at a disadvantage compared to larger, more financially stable competitors.

Impact of Covid-19 on the AI-Based Personalized Stylist Market

The COVID-19 pandemic accelerated the growth of the AI-based personalized stylist market as consumers shifted to online shopping and virtual services. With physical stores closed, demand for personalized, AI-driven fashion recommendations increased. Retailers adopted AI solutions to offer virtual try-ons, tailored recommendations, and interactive shoppin...