In the year 2024, the market value of agentic artificial intelligence (AI) stood at *** billion U.S.dollars. It is anticipated that this market value will surpass ** billion U.S.dollars, with a compound annual growth rate of over ** percent, as reported by Capgemini. This tremendous growth demonstrates the potential of agentic AI to transform industries through autonomous action and decision-making.

The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

According to Cognitive Market Research, the global Artificial Intelligence (AI) market size will be USD 161.2 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 37.90% from 2024 to 2031. Market Dynamics of Artificial Intelligence (AI) Market

Key Drivers for Artificial Intelligence (AI) Market

Increased Use of Self-driving Artificial Intelligence to Increase the Demand Globally: The artificial intelligence industry is expanding as a result of the growing use of autonomous AI. This movement is driven by developments in NPL, ML, and algorithms that make it possible to create complex autonomous AI systems. Because these systems are more accurate and dependable, businesses from a variety of industries are drawn to them. Operations are optimized using autonomous AI, which lowers costs and boosts output. Applications for it can be found in the manufacturing, transportation, healthcare, and financial industries. The use of autonomous AI is further propelled by the automation-driven cost reduction connected with the industry.

Expanding Adoption of AI Across various Industries: AI is being embraced across different industries, from health care to banking and manufacturing, to automate procedures, increase efficiency, and decrease costs., Its increasing adoption illustrates the expansion of AI utilized in numerous departments, as most executives opine automation has the capacity to improve any business decision. It is so flexible and expandable that organizations can deploy AI for various applications, including automation of processes, predictive maintenance, and user servicing, revolutionizing business operations. For Instance, in May 2024, Newgen Software introduced LumYn, the globe's first Gen AI-driven hyper-personalization platform for banks. LumYn boosts client interaction using conversational AI and predictive intelligence to deliver customized product launches while maintaining data security and privacy.

Key Restraints for Artificial Intelligence (AI) Market

Ethical Concerns Regarding AI Use is boosting the market growth: The evolution and uptake of artificial intelligence (AI) technologies in various industries, ethical issues continue to be a strong hindrance on the growth of the market. These include the possibilities of AI misuse through decision making bias in algorithms, invasion of data privacy, overreach of surveillance, and lack of transparency in AI systems. Both organizations and consumers increasingly realize how AI may reinforce social inequalities or produce unintended effects, especially in such sensitive domains as healthcare, law enforcement, hiring, and finance. Governments and regulatory agencies are now enforcing stricter ethical standards and compliance requirements, which can hinder the rollout of AI solutions.

Trends of Artificial Intelligence (AI) Market

Rapid Adoption of Generative AI Across Various Industries: Generative AI technologies—such as large language models (LLMs), image generation tools, and automated content creation systems—are being swiftly embraced across sectors including marketing, software development, customer service, and healthcare. Organizations are leveraging these tools to boost productivity, optimize content workflows, tailor customer experiences, and hasten innovation. With growing investments from both tech giants and startups, generative AI is transitioning from experimental applications to essential business functions, transforming the automation and scaling of tasks.

Growth of AI at the Edge for Immediate Decision Making: AI is progressively being implemented at the edge—on devices such as smartphones, sensors, and industrial machinery—to facilitate real-time analytics and decision-making without dependence on cloud infrastructure. This development is vital for applications in autonomous vehicles, smart manufacturing, healthcare monitoring, and security systems, where latency and data privacy are paramount. Innovations in edge computing hardware and effective AI models (e.g., TinyML) are enabling the integration of robust AI capabilities directly at the data generation source.

Key Opportunity for Artificial Intelligence (AI) Market

AI integarted Supercomputers can be an opportunity: Supercomputing offers strong processing capacity like that of High Performance Computing (HPC). But whereas an HPC server can be utilized to serve multiple appl...

In 2024, Artificial Intelligence Market was valued at $224.41 Billion and projected to reach $1236.47 Billion by 2030, due to increasing number of data globally.

By 2034, the AI Market is expected to reach a valuation of USD 10,173.0 billion, expanding at a healthy CAGR of 38.5%.

The statistic shows the size of the artificial intelligence (AI) market worldwide from 2015 to 2024. In 2015, the global AI market generated revenues of *** billion U.S. dollars.

The composite AI market is projected to be worth US$ 1.0 Billion in 2024. The market is anticipated to reach US$ 22.5 Billion by 2034. The market is further expected to surge at a CAGR of 36.8% during the forecast period 2024 to 2034.

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Agentic AI Market is estimated to reach USD 196.6 billion By 2034, Riding on a Strong 43.8% CAGR throughout the forecast period.

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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 advancements enable faster and more efficient data processing, leading to increased demand for cloud-based AI solutions. However, the market also faces challenges from open-source platforms, which offer free alternatives to proprietary AI offerings. Companies must navigate this competitive landscape by focusing on providing value-added services and maintaining a strong competitive edge through innovation and differentiation. To capitalize on market opportunities, organizations should explore applications in sectors such as healthcare, finance, and manufacturing, where AI can drive operational efficiency, enhance customer experiences, and generate new revenue streams. Effective strategic planning and a strong focus on data security will be crucial for businesses seeking to succeed in this dynamic and evolving market.

What will be the Size of the Cloud Artificial Intelligence (AI) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in machine learning (ML), computer vision, and natural language processing. Bias mitigation and responsible AI are increasingly prioritized, with knowledge graphs and explainable AI (XAI) playing crucial roles in ensuring transparency and trust. Agile development and AI ethics are integral to creating ethical and unbiased AI systems. ML models are being applied across various sectors, from fraud detection and sales forecasting to speech recognition and image recognition. Data security and privacy remain paramount, with cloud computing and edge computing solutions offering secure alternatives. Deep learning (DL) and reinforcement learning are advancing rapidly, enabling more sophisticated AI applications. Semantic reasoning and predictive analytics are transforming decision making, while AI-powered chatbots and virtual assistants enhance customer service. Data labeling and model training are essential components of AI development, with API integration streamlining deployment and model training. Risk management and predictive analytics are critical for businesses seeking to mitigate potential threats and optimize operations. The ongoing unfolding of market activities reveals a dynamic landscape, with AI regulations and governance emerging as key considerations. Sentiment analysis and text analytics offer valuable insights into customer behavior and preferences. In the ever-evolving AI ecosystem, continuous innovation and adaptation are essential. The integration of various AI technologies and applications will shape the future of business and society.

How is this Cloud Artificial Intelligence (AI) Industry segmented?

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 AmericaUSEuropeGermanyUKAPACChinaJapanRest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.Artificial Intelligence (AI) software development is a significant area of innovation in the business world, with applications ranging from automating operations to personalizing service delivery and generating insights. AI technologies, such as machine learning (ML), deep learning (DL), computer vision, speech recognition, and natural language processing, are transforming industries. Responsible AI practices, including bias mitigation and explainable AI (XAI), are crucial for building trust and ensuring fairness in AI systems. Agile development methodologies facilitate the integration of AI capabilities into existing software. Data security and privacy are paramount in AI implementations. Cloud computing and edge computing provide flexible solutions for storing and processing sensitive data. AI regulations, such as those related to data privacy and security, are shaping the market. AI ethics are also a critical consideration, with transparency and accountability essential for building trust in AI systems. AI is revolutionizing various industries, from healthcare to finance and marketing. In healthcare, AI is used for predictive analytics, sales forecasting, and fraud detection, improving patient outcomes and operational efficiency. In finance, AI is used for risk management

According to Cognitive Market Research, the global AI in Oil & Gas Market size is USD 4.0 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 22.6% from 2024 to 2031. Market Dynamics of AI in Oil & Gas Market

Key Drivers for AI in Oil & Gas Market

Oil and gas firms' initiatives towards digital transformation - The oil and gas industry has been striving for more digitalization of operations in order to boost production and efficiency. With declining oil prices in 2024, businesses are seeking technological advances to improve production processes and cut expenses. There is a growing realization that artificial intelligence can be used to analyze massive amounts of operational data collected from rigs, pipelines, refineries, and other assets. This data contains significant insights that can be used to predict equipment failures, discover anomalies, and optimize maintenance plans. AI is increasingly being utilized for activities like interpreting seismic data faster to explore new oil and gas sources. Companies are investing in AI technologies that can complement the decision-making powers of human workers by delivering real-time recommendations. This emphasis on digital transformation across the value chain is a primary driving force behind the growing use of AI technology in the oil and gas industry. Need for better safety and risk minimization

Key Restraints for AI in Oil & Gas Market

Lack of Competent Professionals in AI Technology High initial costs Introduction of the AI in Oil & Gas Market

Artificial intelligence (AI) in the oil and gas market refers to the use of advanced computing algorithms and machine learning approaches to optimize operations, improve decision-making, and increase efficiency across numerous aspects of the industry. Its applications include predictive maintenance, reservoir management, drilling optimization, production planning, and safety standards. The Artificial Intelligence (AI) in Oil & Gas Market is rapidly expanding due to rising energy consumption, technological improvements, and the need for cost savings and operational efficiency. Factors fueling this expansion include the integration of big data analytics, IoT devices, and AI algorithms to extract actionable insights from massive amounts of data, allowing for better decision-making processes.

According to Cognitive Market Research, The global Ai and Analytics Systems market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 38.20% from 2023 to 2030.

The demand for AI and Analytics Systems is rising due to the rising demand for data-driven decision-making and advancements in artificial Intelligence technologies.
Demand for Business Analytics remains higher in the AI and Analytics Systems market.
The Large Enterprises category held the highest AI and Analytics Systems market revenue share in 2023.
North American Ai and Analytics Systems will continue to lead, whereas the Asia-Pacific Ai and Analytics Systems market will experience the most substantial growth until 2030.

Key Dynamics of AI and Analytics Systems Market

Key Drivers of AI and Analytics Systems Market

Explosion of Data Across Industries: Organizations are producing vast amounts of data from digital platforms, IoT devices, and business systems. The necessity to derive actionable insights from this data is propelling the widespread implementation of AI-driven analytics systems for real-time decision-making, predictive modeling, and operational optimization.

Growing Need for Automation and Efficiency: Businesses are increasingly adopting AI and analytics platforms to automate workflows, minimize manual errors, and enhance efficiency. These systems optimize processes ranging from customer service to supply chain management, allowing companies to react more swiftly to market changes while reducing operational expenses.

Rising Investment in AI R&D: Investments from both government and private sectors in artificial intelligence research are accelerating advancements in analytics platforms. Improved functionalities such as deep learning, natural language processing, and computer vision are being incorporated into systems, facilitating smarter data analysis and broadening their application across industries like healthcare, finance, and manufacturing.

Key Restrains for AI and Analytics Systems Market

High Implementation and Integration Costs: The deployment of AI and analytics systems necessitates substantial investment in infrastructure, software, and skilled personnel. Smaller businesses frequently encounter budget limitations and lack the internal IT capabilities to integrate such technologies, which restricts overall adoption in cost-sensitive markets.

Data Privacy and Security Concerns: The increasing dependence on data-heavy AI systems has raised alarms regarding data breaches, algorithmic bias, and compliance with regulations. Stringent regulations such as GDPR and the evolving landscape of cybersecurity threats present challenges to the implementation of AI analytics solutions, particularly in highly regulated sectors.

Talent Shortage in AI and Data Science: There exists a global deficit of qualified professionals capable of developing, managing, and optimizing AI analytics systems. The intricacy of machine learning models and advanced analytics tools demands expertise that many organizations find difficult to attract and retain.

Key Trends in AI and Analytics Systems Market

The Emergence of Explainable AI in Analytics: There is a growing need for transparency and accountability in decisions made by AI. Explainable AI (XAI) is becoming increasingly popular as organizations implement analytics systems that offer justifications comprehensible to humans for their predictions, particularly in vital sectors such as healthcare, finance, and legal.

Integration with Cloud and Edge Computing: AI and analytics systems are progressively being utilized on cloud platforms and edge devices to facilitate real-time processing and scalability. This transition improves data accessibility, enhances responsiveness, and supports hybrid models for decentralized analytics.

Industry-Specific AI Solutions Gaining Traction: Vendors are concentrating on vertical-specific AI analytics tools designed to meet the requirements of sectors like retail (customer behavior analysis), finance (fraud detection), and manufacturing (predictive maintenance). This trend is promoting adoption across non-technical industries that are looking for tailored value from AI insights.

Impact of COVID–19 on the AI and Analytics Systems Market

The COVID-19 pandemic has had a profound impact on the AI and...

The embedded AI market is projected to be worth US$ 9.5 billion in 2024. The market is anticipated to reach US$ 36.2 billion by 2034. The market is further expected to surge at a CAGR of 14.3% during the forecast period 2024 to 2034.

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The Artificial intelligence (AI) market size in Russia was estimated to be the largest in Central and Eastern Europe (CEE), at roughly **** billion U.S. dollars in 2024. Furthermore, Russia's AI market was forecast to more than quadruple between 2024 and 2030. Poland and Czechia had the second- and third-largest AI markets in the CEE region, respectively.

Generative Artificial Intelligence (Gen AI) Market Outlook

The global Generative AI (Gen AI) market is valued at USD 38.06 billion in 2024 and is expanding at a compound annual growth rate (CAGR) of around 35%, reaching an estimated value of $200 billion by 2032.



Key segments contributing to this growth include software, which accounts for approximately 60% of the market share, and the healthcare and finance applications, which are forecasted to see the highest adoption rates. The cloud deployment mode will dominate with over 70% of the market share, reflecting the ongoing trend towards cloud-based solutions. Large enterprises will continue to lead in terms of enterprise size, while the Asia Pacific region is anticipated to exhibit the fastest growth, fuelled by rapid technological advancements and increasing investments in AI infrastructure.

The Generative AI market is set to experience significant growth driven by the continuous advancements in machine learning and deep learning technologies. As these AI models become more capable and efficient, they are being integrated into a broader array of business processes, enhancing productivity and innovation. The growing digital transformation across industries also propels the demand for AI capabilities, particularly in areas like customer experience management, predictive maintenance, and supply chain optimization. Additionally, the reduction in costs associated with AI technologies, due to improvements in cloud computing infrastructures and the democratization of AI tools, makes these technologies accessible to a wider range of businesses, including small and medium-sized enterprises. The global push towards more data-driven decision-making further amplifies the adoption and investment in Generative AI, underpinning its market growth.

Scope of the Generative Artificial Intelligence (Gen AI) Market Report

The market report includes an assessment of the market trends, segments, and regional markets. Overview and dynamics are included in the report.

Generative Ai Media Software is playing a pivotal role in transforming the media landscape by enabling the creation of highly realistic and engaging content. This software leverages advanced algorithms to generate images, videos, and even music, offering new possibilities for content creators and media companies. By automating parts of the creative process, Generative Ai Media Software allows for more efficient production workflows and the ability to personalize content at scale. This has led to a surge in innovative applications, such as virtual influencers and AI-generated characters, which are reshaping how audiences intera

The global artificial intelligence market reached a value of around USD 2.41 Trillion in 2024. The market is projected to grow at a CAGR of 32.40% between 2025 and 2034 to reach nearly USD 39.89 Trillion by 2034.

Global artificial intelligence (AI) market worth at USD 219.25 Billion in 2024, is expected to surpass USD 3983.94 Billion by 2034, with a CAGR of 33.64% from 2025 to 2034.

The global sales of AI platform is projected to be worth USD 19.8 billion in 2024 and expected to reach a value of USD 136.5 billion by 2034. Sales are estimated to rise at a CAGR of 21.3% over the forecast period between 2024 and 2034. The income created by AI platform in 2023 was USD 16.3 billion. The industry is projected to register a Y-o-Y growth of 21.1% in 2024.

Semi Annual Market Update

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The global artificial intelligence market size was valued at USD 115.62 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 854.51 Billion by 2033, exhibiting a CAGR of 23.64% from 2025-2033. North America currently dominates the market, holding a market share of over 30.6% in 2024. The growth of the North American region is driven by technological innovation, robust infrastructure, strong governmental support, and increasing investment in research and development (R&D).

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on type, offering, technology, system, and end-use industry.

The global artificial intelligence-as-a-service market size reached USD 15.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 269.4 Billion by 2033, exhibiting a growth rate (CAGR) of 33.2% during 2025-2033. The development and implementation of AI models requiring a high level of technical expertise, the escalating investments in robust security measures, data encryption, and compliance frameworks, and the development of more advanced algorithms, models, and AI-based solutions are some of the major factors propelling the market.

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence-as-a-service market report, along with forecasts at the global, regional and country levels from 2025-2033. Our report has categorized the market based on technology, organizations size and vertical.

Global Mobile Artificial Intelligence (AI) Market is anticipated to experience remarkable expansion, with a projected Compound Annual Growth Rate (CAGR) of 29.57% from 2025 to 2033. According to the market analysis, the market size is forecasted to reach USD 113.60 Billion by the end of 2033, up from USD 11.04 Billion in 2024.

The Global Mobile Artificial Intelligence (AI) market size to cross US