Generative AI Market size is valued at around USD 28.9 billion in 2024 and is estimated to reach around USD 142.7 billion by 2030. Along with a CAGR of 31.2%.

The market size in the 'Generative AI' segment of the artificial intelligence market worldwide was modeled to be ************* U.S. dollars in 2024. Following a continuous upward trend, the market size has risen by ************* U.S. dollars since 2020. Between 2024 and 2031, the market size will rise by ************* U.S. dollars, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Generative AI.

In 2024, the market size change in the 'Generative AI' segment of the artificial intelligence market worldwide was modeled to stand at ** percent. Between 2021 and 2024, the market size change rose by **** percentage points. The market size change is expected to drop by ***** percentage points between 2024 and 2031, showing a continuous downward movement throughout the period.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Generative AI.

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.

On-Device Generative AI Market is experiencing significant growth, driven by the increasing capabilities of mobile processors and the rising demand for creative content creation

The AI Market Report Segments the Industry Into by Component (Hardware, Software, and Services), Deployment Mode (Public Cloud, On-Premise, and Hybrid), Technology (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, and Context-Aware Computing and Others), End-User Industry (BFSI, IT and Telecommunications, Healthcare and Life Sciences, Manufacturing, and More), and Geography.

According to Cognitive Market Research, the global Cloud Aimarket size is USD 55921.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 33.50% from 2023 to 2030.

North America held the major market of more than 40% of the global revenue with a market size of USD 22368.48 million in 2023 and will grow at a compound annual growth rate (CAGR) of 31.7% from 2023 to 2030
European market of more than 30% of the global revenue with a market size of USD 16776.36 million in 2023 and will grow at a compound annual growth rate (CAGR) of 32.0% from 2023 to 2030
Asia-Pacific held the fastest market of more than 23% of the global revenue with a market size of USD 12861.88 million in 2023 and will grow at a compound annual growth rate (CAGR) of 35.5% from 2023 to 2030.
Latin America market than 5% of the global revenue with a market size of USD 2796.06 million in 2023 and will grow at a compound annual growth rate (CAGR) of 32.9% from 2023 to 2030.
The Middle East and Africa market of more than 2.00% of the global revenue with a market size of USD 1118.42 million in 2023 and will grow at a compound annual growth rate (CAGR) of 33.2% from 2023 to 2030
The demand for Cloud AI is rising due to its scalability flexibility cost-efficiency, and accessibility.
Demand for Solution remains higher in the Cloud Aimarket.
The Healthcare & Life Sciences category held the highest Cloud AI market revenue share in 2023.

Digital Transformation Imperative to Provide Viable Market Output

The primary driver propelling the Cloud AI market is the imperative for digital transformation across industries. Organizations are increasingly leveraging cloud-based AI solutions to streamline operations, enhance customer experiences, and gain actionable insights from vast datasets. The scalability and flexibility offered by cloud platforms empower businesses to deploy and manage AI applications seamlessly, fostering innovation and efficiency. As companies prioritize modernization to stay competitive, the integration of AI on cloud infrastructure becomes instrumental in achieving strategic objectives, driving the growth of the Cloud AI market.

Apr-2023: Microsoft partnered with Siemens Digital Industries Software for advanced generative artificial intelligence to enable industrial companies in driving efficiency and innovation throughout the engineering, designing, manufacturing, and operational lifecycle of products.

(Source:www.oemupdate.com/automation/siemens-and-microsoft-partner-to-drive-cross-industry-ai-adoption/#:~:text=Microsoft%20and%20Siemens%20have%20partnered,generative%20AI%20to%20industries%20worldwide.)

Proliferation of Big Data to Propel Market Growth

The proliferation of big data serves as another key driver for the Cloud AI market. As businesses accumulate unprecedented volumes of data, cloud-based AI solutions emerge as indispensable tools for extracting meaningful insights and patterns. The scalability of cloud platforms allows organizations to process and analyze massive datasets efficiently. Cloud AI applications, such as machine learning and data analytics, enable businesses to derive actionable intelligence from this wealth of information. With the increasing recognition of data as a strategic asset, the demand for cloud-based AI solutions to harness and derive value from big data continues to fuel the expansion of the Cloud AI market.

Apr-2023: Microsoft came into collaboration with Epic, to utilize the power of generative artificial intelligence to enhance the efficiency and accuracy of EHRs. The collaboration enabled the deployment of Epic systems on the Azure cloud infrastructure.

(Source:blogs.microsoft.com/blog/2023/08/22/microsoft-and-epic-expand-ai-collaboration-to-accelerate-generative-ais-impact-in-healthcare-addressing-the-industrys-most-pressing-needs/#:~:text=Epic%20and%20Microsoft's%20expanded%20collaboration,to%20SlicerDi)

Market Restraints of the Cloud AI

Data Security Concerns to Restrict Market Growth

One significant restraint in the Cloud AI market revolves around data security concerns. As organizations migrate sensitive data to cloud environments for AI processing, there is a heightened awareness and apprehension regarding the protection of this valuable information. Potential vulnerabilities, data breaches, and the risk of unauthorized access pose challenges, especially in industries with stringent privacy regulations. Add...

Generative AI Processor Market is positioned at the heart of transformative changes in telecommunications, automotive, and data processing.

Machine learning remains the largest segment of the AI market in 2024 at *** billion U.S. dollars, and is expected to continue as such until at least 2030. This stems in large part from the machine learning segment being the most prolific and simple AI to create. Its subcategory, deep learning, is considerably more complex but constitutes some of the most influential chatbots created since the expansion of generative AI in 2022, further cementing its market importance.

Explore the impact of generative AI in the movies market, transforming storytelling, visual effects, and production efficiency for a new era in filmmaking.

According to Cognitive Market Research, The Global AI In Games market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 27.20% from 2023 to 2030.

The demand for AI In Games is rising due to the advanced In-Game AI and personalized gaming experiences.
Demand for On-Premise remains higher in the AI in Games market.
The PC Gaming category held the highest AI in Games market revenue share in 2023.
North American Ai In Games will continue to lead, whereas the European Ai In Games market will experience the most substantial growth until 2030.

Enhanced Gaming Experience with Intelligent NPCs to Provide Viable Market Output

A key driver in the AI in Games market is the pursuit of an enhanced gaming experience through the implementation of intelligent non-player characters (NPCs). Advanced AI algorithms empower game developers to create NPCs with more realistic behaviors, adaptability, and decision-making capabilities. This not only challenges players in a dynamic and engaging manner but also fosters immersive storytelling. The demand for richer, more lifelike virtual worlds, where NPCs mimic human-like responses and interactions, drives the integration of AI technologies, making this enhancement a significant driver propelling the growth of the AI in Games market.

In January 2022, The Microsoft HoloLens 2 was introduced in India. It has sensors that allow for head and eye tracking and is made to let users interact with holograms. This helps to drive artificial intelligence (AI) in the gaming market.

(Source: www.microsoft.com/en-in/hololens/hardware)

Procedural Content Generation and Game Customization to Propel Market Growth

Another crucial driver in the AI in Games market is the emphasis on procedural content generation and game customization. AI algorithms enable game developers to dynamically generate content, including levels, environments, and challenges, enhancing the replayability and uniqueness of each gaming experience. This driver aligns with the industry's focus on delivering personalized and diverse gaming content to cater to individual player preferences. By leveraging AI for procedural content generation, game developers can create vast and intricate game worlds, fostering player engagement and satisfaction, and ultimately contributing to the continuous growth and evolution of the AI in Games market.

June 2023, With its ACE for Games generative Al platform, NVIDIA, a pioneer in next-generation computing technologies, is launching Al-powered storytelling tools for video game developers. By incorporating generative Al capabilities into non-playable characters (NPCs) through natural language interactions, this technology enables game designers to improve storytelling.

(Source: www.nvidia.com/en-in/geforce/news/nvidia-ace-for-games-generative-ai-npcs/)

Growth of free-to-play gaming models are encouraging consumers to explore new games in the AI field 

Market Dynamics Of AI In Games

Key Drivers for AI In Games

Improved Customization and Player Experience: AI is transforming game design by making adaptive gameplay and real-time customisation possible. In order to provide individualized gaming experiences that increase player engagement and retention, it adjusts difficulty levels, creates responsive NPC behavior, and examines player behaviors.

Procedural Content Generation's Ascent: Through procedural generation, AI enables developers to automate the production of dynamic settings, levels, missions, and characters. This increases replay value while cutting down on development time and expense, especially in sandbox and open-world games.

Key Restraints for AI In Games

High development costs and complexity of the technology: AI integration in gaming necessitates a large investment in processing power, training data, and qualified personnel. The computing expense of real-time AI techniques, such reinforcement learning, can raise the total cost of game development.

Insufficient Standardization and Ethical Issues: The absence of standardized frameworks for AI development in the gaming industry may lead to biased results or inconsistent NPC behavior. Furthermore, the overuse of AI-driven monetization (such as behavioral targeting) presents moral questions regarding player manipulation.

Key Trends for AI In Games

AI-Powered Qualit...

The banking sector's spending on generative artificial intelligence (AI) is projected to surge to ***** billion U.S. dollars by 2030, with a remarkable ***** percent compound annual growth rate. This astonishing growth reflects the increasing significance of AI in reshaping the banking industry's landscape, as it seeks to leverage AI-driven technologies to enhance customer experiences, optimize operations, and drive innovation. AI investment across industries The banking sector's substantial investment in AI is part of a broader trend of increasing AI adoption across industries. In 2023, the banking sector was one of the largest investors in AI, with **** billion U.S. dollars, signaling its proactive approach in embracing AI technologies. Moreover, the financial sector is poised for remarkable growth, with an estimated increase from ** billion U.S. dollars in 2023 to ** billion U.S. dollars in 2027, representing a significant upward trajectory in AI investment within the industry. Global corporate AI investment trends The surge in AI investment aligns with global trends, as corporate investment in AI reached nearly ** billion U.S. dollars in 2022. This substantial increase underscores the growing importance of AI development worldwide and sets a strong foundation for the expansion of AI technologies. As the banking sector continues to navigate the evolving AI market, these trends highlight the competitive landscape of AI investment and the potential for the sector to capitalize on AI technologies to drive future growth and innovation.

The Cloud AI Market Report is Segmented by Type (Solution and Service), End-User Vertical (BFSI, Healthcare, Automotive and Mobility, and More), Deployment Model (Public Cloud, Private Cloud, and More), Application (Fraud and Risk Analytics, Marketing and Personalisation, and More), Technology (Machine Learning, Generative AI, and More), and Geography.

AI Code Tools Market size was valued at USD 12.26 Billion in 2024 and is projected to reach USD 27.17 Billion by 2032 growing at a CAGR of 23.8% from 2026 to 2032. Global AI Code Tools Market DriversThe artificial intelligence (AI) code tools market is undergoing an unprecedented boom, transforming how software is developed. From automating repetitive tasks to generating entire code snippets from natural language, these innovative solutions are becoming indispensable for businesses worldwide. This explosive growth isn't accidental; it's fueled by several potent drivers reshaping the software development landscape.Demand for Faster Software Delivery & Developer Productivity: The relentless pressure for quicker software delivery cycles and enhanced developer productivity is a primary catalyst for the AI code tools market. Companies are constantly seeking ways to minimize manual coding, eliminate boilerplate, and reduce repetitive tasks to accelerate development and deployment. AI code tools are proving instrumental in this endeavor by automating critical functions such as test generation, robust debugging, in-depth code analysis, and efficient refactoring. This automation not only significantly reduces the time developers spend on these tasks but also dramatically improves the overall quality and reliability of the codebase. As organizations prioritize agile and efficient development pipelines, the demand for AI-powered solutions that streamline workflows and boost output will only intensify.Adoption of DevOps / Agile Practices & CI/CD Pipelines: The widespread adoption of DevOps practices, particularly the implementation of Continuous Integration (CI) and Continuous Deployment (CD) pipelines, is a significant driver propelling the AI code tools market forward. These methodologies necessitate a high degree of automation throughout the entire development and deployment lifecycle. AI code tools seamlessly integrate into CI/CD pipelines, providing crucial automated feedback, generating comprehensive auto-tests, and facilitating continuous monitoring.

From USD 4.23 billion in 2023, the market for AI code tools is expected to reach USD 12.16 billion by 2030, representing a CAGR of 25.0% between 2023 and 2030. Market size, growth, share

The global AI infrastructure market was valued at USD 26.18 Billion in 2024. The market is expected to grow at a CAGR of 23.80% during the forecast period of 2025-2034 to reach a value of USD 221.40 Billion by 2034. Edge AI adoption in industrial robotics is accelerating infrastructure demand as enterprises seek low-latency computing closer to operations.

The AI infrastructure market growth is expanding rapidly, propelled by surging adoption of generative AI models that require immense computing capacity. A notable driving factor here is hyperscale data centers upgrading to GPU-rich clusters. The European Union earmarked EUR 1.5 billion under Horizon Europe programs to support AI infrastructure scaling, while, in China, by 2030, Beijing is aiming for AI to become a USD 100 billion industry and to create more than USD 1 trillion of additional value in other industries.

Equally significant is the demand for energy-efficient AI infrastructure. AI workloads consume massive power, with the International Energy Agency estimating data centers could account for 8% of global electricity demand by 2030. This has pushed governments and enterprises to prioritize sustainable designs. In Japan, subsidies are offered to companies deploying liquid cooling systems for AI clusters, while the United States CHIPS and Science Act allocate billions for semiconductor production directly supporting resilience, shaping up the AI infrastructure market dynamics. Such trends reflect a market increasingly shaped by policy frameworks and high-performance demand.

The artificial intelligence (AI) chip market is experiencing rapid growth, with projections indicating it will reach **** billion U.S. dollars in 2025. This surge reflects the increasing demand for AI technologies across various industries. The market's expansion is driven by advancements in machine learning, deep learning, and generative AI applications, which are reshaping how businesses operate and interact with customers. Nvidia leads the AI chip race Nvidia has emerged as a dominant player in the AI chip market, with its data center revenue skyrocketing in its 2025 fiscal year. The company's graphics processing units (GPUs) are crucial for training and running large language models, including OpenAI's ChatGPT. Nvidia's success helped propel it into the exclusive tech three trillion club, alongside industry giants like Apple and Microsoft. GPU market growth and AI applications The global GPU market, valued at **** billion U.S. dollars in 2024, has caught much of the world’s attention. This growth is largely fueled by the expanding AI market, particularly in machine learning and deep learning applications. The generative AI market is also contributing significantly, with projections suggesting it will surpass *** billion U.S. dollars by 2030. These trends underscore the increasing importance of AI chips in powering next-generation technologies and applications.

Multimodal AI Market was valued at USD 3.26 billion in 2024 and is expected to reach USD 22.88 billion by 2030 with a CAGR of 38.37%.

According to Cognitive Market Research, The Global Secure Element market estimation is USD 5.32 billion in 2023 and will grow and expand at a compound annual growth rate (CAGR) of 15% from 2023 to 2030.

The demand for Secure Element is rising due to the growing emphasis on increasing generative A.I. use in many areas.
Demand for Embedded Secure Elements (S.E.) remains higher in the Secure Element market.
The Mobile Security category held the highest Secure Element market revenue share in 2023.
North America will continue to lead, whereas the Asia Pacific Secure Element market will experience the strongest growth until 2030.

Increasing Generative AI Use in Many Areas to Provide Viable Market Output

The tremendous rise that the worldwide embedded security industry has experienced in recent years is largely attributable to the expanding use of generative artificial intelligence (AI) in a variety of applications. The ever-evolving demand for improved data protection, privacy, and threat mitigation is the driving force behind this emerging trend, which is transforming the cybersecurity environment.

Between 2010 and 2021, more than 96 billion secure components were created and distributed.

Utilizing cutting-edge algorithms and deep learning approaches, generative AI has proven to have unmatched powers in producing accurate data, pictures, and even literature. Although it has a wide range of uses, including in predictive modeling and the creation of creative material, its introduction into security applications has had a particularly profound impact. To strengthen their security frameworks against new cyber threats, sectors including banking, healthcare, automotive, and IoT have adopted generative AI-powered solutions.

Technological Advancements to Propel Market Growth

In order to protect data privacy and integrity in devices linked to the cloud, cloud integration is essential. As connected and driverless vehicles become more common, automotive security is becoming a bigger worry. Security upgrades in embedded devices are being prompted by the deployment of 5G networks in order to facilitate high-speed and low-latency connections.

The IAR Embedded Trust, a strong end-to-end security process for the embedded sector, was introduced by IAR in March 2023. With its most recent version, IAR fulfilled its slogan of "Security Made Simple" by assisting clients in managing, prioritizing, and minimizing possible security issues.

Furthermore, in order to satisfy compliance standards, numerous businesses are adopting embedded security solutions due to strict regulatory requirements.

Market Dynamics of the Secure Element Market

Key Drivers of Secure Element Market

Growing Demand for Contactless Payments : The worldwide transition towards cashless transactions is increasing the need for secure element technology. SE guarantees encrypted payment authentication, safeguarding sensitive financial information, and facilitating secure mobile wallets, NFC transactions, and smart card payments across banking, fintech, and retail industries.

Rising Adoption of IoT Devices : With the proliferation of connected devices in healthcare, automotive, and smart home sectors, SE offers a reliable execution environment for the exchange of sensitive data. Its capability to protect identities, authenticate devices, and ensure secure communication is propelling widespread adoption in emerging IoT ecosystems globally.

Strict Regulatory Compliance Requirements : Regulatory bodies and governments require robust data protection frameworks for payments, telecommunications, and identity verification. Secure element technology adheres to international standards such as EMVCo and GSMA, making it a favored option for businesses looking to improve compliance and protect customer trust.

Key Restraints in Secure Element Market

High Implementation and Integration Costs : The deployment of secure element solutions necessitates a considerable investment in hardware, software, and system integration. For small and medium enterprises, these substantial initial costs pose obstacles to adoption, even in light of the increasing demand for secure data management and transaction authentication.

Limited Flexibility Compared to Alternatives : In contrast to cloud-based security frameworks, secure elements are reliant on hardware, which limits their scalability and adapta...

Product Market size is rising upward in the past few years And it is estimated that the market will grow significantly in the forecasted period