Generative AI Models Market Report 2025-2035: Multimodal Content Creation Fuels Growth Through 2035 – ResearchAndMarkets.com

DUBLIN–(BUSINESS WIRE)–The “Generative AI Models Market Report 2025-2035” has been added to ResearchAndMarkets.com’s offering. World revenue for the Generative AI Models Market is set to surpass US$65 billion in 2025, with strong revenue growth predicted through to 2035. Surge in Multimodal Content Creation Fuels Enterprise Adoption of Generative AI Across Industries One of the most powerful drivers of generative AI adoption is the surging demand for automated, multi-format content creation-spanning text, images, video, and audio. Industries such as advertising, entertainment, e-commerce, and gaming are leading adopters, leveraging advanced models like OpenAI’s GPT-4o, Google’s Gemini, and Meta’s LLaMA to deliver personalised, scalable content at speed. Illustrating this trend, Adobe’s Firefly allows users to generate professional-grade visuals and designs directly from text prompts, cutting production timelines and reducing creative overheads. This ability to amplify creativity while lowering resource intensity is compelling enterprises to invest in generative AI tools, making automated content generation a central driver of market growth. High Operational and Computational Costs Constrain the Scalability of Generative AI Models One of the most persistent challenges in the generative AI market is the extraordinary cost of developing and sustaining large-scale foundation models. Systems such as OpenAI’s GPT-4, Google’s Gemini 1.5, and Anthropic’s Claude rely on billions of parameters and vast datasets, requiring specialised GPU clusters and high-performance computing environments. Training GPT-4 alone reportedly cost tens of millions of dollars, with ongoing expenses for inference, fine-tuning, and deployment adding further strain. These financial demands create barriers for start-ups and mid-sized enterprises, limiting their ability to innovate and compete. They also raise questions about the long-term sustainability of frequent model iterations, particularly as hardware costs, energy consumption, and cloud pricing continue to rise. For many organisations, the challenge is less about technological capability and more about achieving cost-effective scale – a constraint that will shape competitive dynamics in the years ahead. The Impact of US Trade Tariffs on the Global Generative AI Models Market? U.S. tariffs, particularly those directed at China and other key exporters of semiconductors and electronics, are reshaping the foundations of the global generative AI ecosystem. Generative AI models depend heavily on high-performance computing infrastructure-advanced GPUs, TPUs, servers, and data centre hardware-much of which is manufactured or assembled in regions caught by trade restrictions. Measures such as tariffs on Chinese-made chips and network equipment, combined with export controls on advanced processors like NVIDIA’s A100 and H100, have disrupted established supply chains and driven up costs for both U.S. and global AI developers. In response, firms are diversifying their supply bases, shifting manufacturing and sourcing to countries such as Vietnam, Mexico, and India to reduce dependency on China. At the same time, Chinese technology companies are doubling down on domestic chip design and developing their own large language models, accelerating efforts to build a self-sufficient AI ecosystem. This dynamic is fuelling a bifurcation of global generative AI development-with Western models supported by U.S.-allied infrastructure on one side, and parallel ecosystems emerging in China, Russia, and parts of the Global South on the other. For U.S.-based players, tariffs are creating upstream cost pressures that could result in higher cloud AI pricing and increased capital expenditures for training and inference. Yet, these constraints also act as a catalyst for domestic investment in chip fabrication and AI infrastructure, reinforced by policy initiatives such as the CHIPS and Science Act. Over the longer term, the industry is likely to see more regionalised model development, fragmented data governance regimes, and a reconfiguration of compute infrastructure – shaping the competitive balance of the generative AI market in line with geopolitical realities. Forecasts to 2035 and other analyses reveal commercial prospects In addition to revenue forecasting to 2035, the new study provides you with recent results, growth rates, and market shares. You will find original analyses, with business outlooks and developments. Discover qualitative analyses (including market dynamics, drivers, opportunities, restraints and challenges), cost structure, impact of rising Generative AI Models prices and recent developments. In addition to the revenue predictions for the overall world market and segments, you will also find revenue forecasts for five regional and 25 leading national markets. The report also includes profiles for some of the leading companies in the Generative AI Models Market, with a focus on this segment of these companies’ operations. Leading companies profiled in the report Alphabet Inc. Amazon Web Services, Inc. qBotica Centific Cognigy Fortinet, Inc. IBM LivePerson Musarubra US LLC Microsoft NVIDIA Corporation OpenAI Scale AI, Inc. TELUS Digital Together AI How will the Generative AI Models Market report help you? In summary, the report provides you with the following knowledge: Revenue forecasts to 2035 for Generative AI Models Market, with forecasts for organization size, deployment mode, component, application, model type, and end-user, each forecast at a global and regional level – discover the industry’s prospects, finding the most lucrative places for investments and revenues. Revenue forecasts to 2035 for five regional and 25 key national markets – forecasts for the Generative AI Models Market in North America, Europe, Asia Pacific, Latin America, and MEA. Also forecasted is the market in the US, Canada, Mexico, Brazil, Germany, France, UK, Italy, Russia, China, India, Japan, and Australia among other prominent economies. Prospects for established firms and those seeking to enter the market – including company profiles for 15 of the major companies involved in the Generative AI Models Market. Key Market Dynamics Market Driving Factors Explosion of Unstructured Data Driving the Market Growth Scalable Cloud Infrastructure and AI-as-a-Service Models Rising Enterprise Demand for Automation and Content Generation Market Restraining Factors Risks Associated with Data Breaches and Sensitive Information Leakage High Cost Associated with Training Data Preparation Market Opportunities Growing Investment and R&D in AI Technologies Collaboration and Partnership Between Market Players Expansion and Launch of Generative AI Platforms and Solutions For more information about this report visit https://www.researchandmarkets.com/r/ftmqsv About ResearchAndMarkets.com ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. 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