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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).
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Europe Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
The market size in the 'Generative AI' segment of the artificial intelligence market in Europe was modeled to amount to ************* 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.
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Canada Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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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.
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Generative AI Market was valued at $14.91 billion in 2023, and is predicted to reach $213.50 billion by 2030.
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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 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.
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Vietnam Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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Indonesia Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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.
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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.
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.
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Explore the growing generative AI cybersecurity market, merging advanced AI techniques with robust security solutions to combat evolving cyber threats.
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Gain insights into the KSA generative AI market size at USD 236 million in 2023 showcasing growth drivers, market segmentation, and adoption across content creation, automation, and enterprise intelligence platforms.
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Middle East Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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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.
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Thailand Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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US Generative AI Market growth is driven by applications ranging from marketing and entertainment to healthcare and software development, generative AI is redefining content creation, personalization, and productivity.
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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).