Definition:
Generative artificial intelligence (AI) is a field of artificial intelligence that focuses on creating models and systems capable of generating new content, such as images, videos, music, or text. By training on large datasets, generative AI models learn patterns and structures within the data to produce novel and realistic outputs that mimic the original data distribution. Using techniques like generative adversarial networks (GANs) or variational autoencoders (VAEs), generative AI has the potential to enhance creativity, enable data synthesis, and revolutionize various industries including art, entertainment, and content creation.
Additional Information:
The market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Generative Artificial Intelligence companies. Key players of the market include companies such as Open AI, NVIDIA DeepL Learning and Google (Magenta, DeepDream).
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
The Artificial Intelligence market in CIS nan is seeing intense growth, fueled by factors such as increasing demand for digital technologies, growing awareness about health, and the convenience of online health services. This trend is driven by the rising need for advanced healthcare solutions in the region, leading to a rapid growth rate.
Customer preferences: As the use of artificial intelligence continues to expand in various industries, including the CIS and Generative AI Market, there is a growing demand for more personalized and customized AI solutions. This trend is driven by consumers' desire for more tailored and specific AI applications that can better meet their individual needs and preferences. This has resulted in an increased focus on consumer-centric AI development and a shift towards more human-like and natural language processing capabilities. Additionally, there has been a noticeable rise in the adoption of AI-powered virtual assistants and chatbots, indicating a growing preference for conversational and interactive AI experiences.
Trends in the market: In the CIS and Generative AI Market within the Artificial Intelligence Market, there is a growing trend of integrating generative AI technology into various industries, including healthcare, finance, and retail. This trend is driven by the increasing demand for personalized and efficient solutions, as well as advancements in deep learning algorithms. The trajectory of this trend is expected to continue upwards, with significant implications for industry stakeholders. These include improved efficiency, cost savings, and enhanced customer experiences. Additionally, the use of generative AI in industries such as healthcare could lead to better diagnosis and treatment plans, ultimately improving patient outcomes.
Local special circumstances: In the CIS region, the Generative AI market is seeing significant growth due to the increasing adoption of advanced technologies in various industries, such as manufacturing, healthcare, and finance. This is driven by the region's strong focus on innovation and digital transformation. Additionally, the market is also influenced by the unique regulatory landscape, with some countries having stricter data privacy laws compared to others. This has led to the development of tailored solutions to ensure compliance with local regulations.
Underlying macroeconomic factors: The growth of the Generative AI Market within the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in the AI infrastructure. Countries with favorable regulatory environments and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing demand for AI solutions across various industries and the rising adoption of AI in emerging economies are contributing to the growth of the market.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.
Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.
Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.
Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.