Generative Artificial Intelligence AI Market Size & Trends 2023 Report

33+ Generative AI Statistics for 2023 Market Size & Trends

In a strategic acquisition in February 2020, Google gained Looker, a unified platform provider specializing in business intelligence, data applications, and embedded analytics. This move strengthens Google’s data-oriented offerings and reinforces its foothold in the business intelligence sector. Through these initiatives, Yakov Livshits Google maximizes the value of AI, catering to diverse industries and propelling innovation in language processing and analytics. For instance, on 5 April 2023, one of the biggest private AI laboratories in Europe, Silo AI, announced SiloGen, a massive project on generative AI and Large Language Models (LLMs).

Generative AI Market worth $51.8 billion by 2028, growing at a … – GlobeNewswire

Generative AI Market worth $51.8 billion by 2028, growing at a ….

Posted: Mon, 21 Aug 2023 07:00:00 GMT [source]

In the future, generative artificial intelligence (AI) will further witness growth, as the advancements in machine learning and deep learning seek to increase. Moreover, the models and capabilities will be trained with more and more data, leading to even stronger tools and possibilities for generative AI. This could lead to creating highly realistic virtual actors, generating personalized content for immersive experiences, or even assisting in the production of movies and video games. In design and creativity, generative AI can aid in the generation of novel artworks, architectural designs, or fashion trends.

Model Insights

The regional generative AI market is also projected to increase due to the existence of key market participants, including the U.S.-based Microsoft, Meta, and Google LLC, as well as sophisticated technology companies and the availability of specialists. This can be attributed to several factors, including the rising demand for pseudo-imagination & medical care, as well as the increasing incidence of banking frauds in the region. Additionally, the presence of prominent market players such as the US-based Meta, Microsoft, and Google LLC, along with other developed technology organizations, is likely to drive the market in North America. The data is gathered from a wide range of sources, including industry reports, government statistics, and
company financials.

generative ai market size

The global generative Artificial Intelligence (AI) market is expected to register a revenue Compound Annual Growth Rate (CAGR) of 35.4% during the forecast period. ChannelX is the leading provider of intelligence & news for all businesses and business people who ply their trade on online marketplaces. Reportlinker’s market research methodology is designed to provide clients with a clear understanding of the
market, its trends,
and its future potential.

End-use Insights

India is set to capitalize on the promise of Artificial Intelligence (AI) to promote large-scale economic growth and development. India, with its big and diverse economy and large population, offers a unique chance to harness AI to benefit businesses, sectors, and society. AI spending has gradually increased since 2011, and it is expected to contribute considerably to the economy by 2035. AI start-ups in India have grown rapidly since 2011, and 88% of organizations polled intend to invest in AI-related technology.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Generative AI Market Size, Landscape, Industry Analysis, Business Outlook, Current and Future Growth By 2 – Benzinga

Generative AI Market Size, Landscape, Industry Analysis, Business Outlook, Current and Future Growth By 2.

Posted: Thu, 14 Sep 2023 00:05:01 GMT [source]

Deep learning, specifically deep neural networks, has revolutionized the field of generative AI with their multiple layers of interconnected nodes that can learn complex patterns and hierarchies in data. This has enabled generative AI models to capture intricate details and generate more nuanced content, such as high-resolution images or realistic speech. Moreover, transfer learning has facilitated the application of pre-trained models to generative AI tasks.

Generative AI Market: The Next Productivity Frontier for Enterprises

The technology segment is divided into transformers, diffusion networks, generative adversarial networks, and variational auto-encoders. The transformers segment dominated the market with a revenue share of 35.77% in 2022. Transformers are used for text-to-image applications and are thus used in most end-user industries. In recent years, the generative AI market has grown significantly, solidifying its place as one of the most promising industries.

generative ai market size

As a result, both corporations and individual content creators are realizing the need for generative AI models for image and art generation, which is creating a high demand for generative AI. Prompts are transformed by text-to-image technology into realistic, licensed images that are larger than life. As per the IMARC Group, the size of global generative AI market was US$ 10.3 Billion in 2022. The rising advancements in deep learning and machine learning and the rising use of artificial intelligence (AI)-generated content for marketed Yakov Livshits strategies will also drive the generative AI market growth. Also, the rising growth of the information technology (IT) sector and the propelling use of AI-integrated systems across various verticals to promote both productivity and agility will lead to an increase in the generative AI market growth. North America dominated the industry with a share of 40.2% in 2022 and is projected to grow at a CAGR of 35.6% over the forecast period due to factors, such as rising pseudo-imagination & medical care and increasing banking frauds.

Generative AI: understanding its popularity and potential

These models learn the underlying patterns & structures of the training data, followed by the generation of new content based on knowledge extrapolation. Generative artificial intelligence (AI), also known as generative adversarial networks (GANs), is a subset of artificial intelligence (AI) approaches that include creating new and unique material from existing data. Unlike standard AI models trained on labeled data for classification or prediction tasks, generative AI is concerned with producing new data samples similar to the original training data. It may be utilized to create distinctive and innovative designs, paintings, and sculptures in art and design. It may be used in entertainment to create realistic computer-generated imagery (CGI) for movies, video games, and virtual reality experiences.

generative ai market size

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