The Generative AI Market Report is Segmented by Component (Software, Services), Deployment Mode (Cloud, On-Premise, and More), End-User Industry (BFSI, Healthcare, and More), Application (Content Creation, Code Generation, and More), Model Architecture (GAN, Transformer, and More), Organisation Size (Large Enterprises, Small and Medium Enterprises), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

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.

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%.

In 2023, the market size for generative artificial intelligence (GenAI) in Indonesia was estimated to reach ****** million U.S. dollars. Projections indicated that the market size will continue to increase significantly and reach over *** billion U.S. dollars by 2030. The rising popularity of ChatGPT With GenAI technology, users can generate text, images, videos, or other content through deep-learning algorithms. As of 2023, Indonesia stood among the leading countries in terms of awareness of ChatGPT, resulting in its widespread adoption as one of the most popular GenAI platforms in the country. Nearly ** percent of Indonesian users access ChatGPT on a weekly or daily basis for various intentions, from work to entertainment purposes. Holding over *** percent of the total traffic share on the ChatGPT website, Indonesia is arguably one of the largest markets for this platform. AI and its risks It is inevitable that the many advantages of artificial intelligence come with its risks. For instance, AI-generated deepfakes can increase the spread of misleading information, leading to various negative consequences. However, a recent study revealed that a considerable portion of the Indonesian population remained unaware of deepfake technology. Additionally, the potential misuse of AI for malicious purposes was found to be the main concern among the population. Given that there remains a large room for growth in digital literacy in Indonesia, it becomes even more crucial to address the risks of AI to ensure safety as the technology continues to grow rapidly across the country.

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.

Japan Generative AI Market was valued at USD 983.5 Mn in 2024, projected to reach USD 1,664.01 Mn by 2030, growing at 9.16% CAGR during the forecast period 2025–30.

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...

Available data formats for the AI in Customer Service Market Report Size, Share, Opportunities, And Trends By Technology (Chatbots, Virtual Assistance, Generative AI-based FAQs, Data Insights from Customers), By Deployment (Cloud, On-Premise, Hybrid), By Application (Finance, Technology Company, Government, Retail, Healthcare, Hospitality, Others), And By Geography - Forecasts From 2025 To 2030 report.

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 growing generative AI cybersecurity market, merging advanced AI techniques with robust security solutions to combat evolving cyber threats.

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.

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.

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...

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.

The USA Multimodal Al Market size is expected to reach $2.2 billion by 2030, rising at a market growth of 30.5% CAGR during the forecast period. The multimodal AI market in the United States is experiencing significant growth and advancements. In the US, this technology is increasingly being integ

Global Generative Artificial Intelligence Technology Market Report 2024 comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2024-2030. The report may be the best of what is a geographic area which expands the competitive landscape and industry perspective of the market.

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

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

The Germany Multimodal Al Market size is expected to reach $549.1 million by 2030, rising at a market growth of 30.3% CAGR during the forecast period. Germany, known for its strong industrial base and technological innovation, has been actively involved in advancing AI technologies. Germany, known