Generative AI Market Size, Strategic Analysis, Growth Drivers, Industry Trends, Demand and Future Opportunities and Forecast 2030
The generative
AI market was valued at USD 12.1 billion globally in
2016, and over the course of the projected year, a CAGR of 32.5% is
anticipated. A wide range of industries, including gaming, healthcare, banking,
chatbots and virtual assistants, design and innovation, and content creation,
use generative AI. In the manufacturing sector, generative AI is becoming more
and more necessary to improve processes and optimize product design.
The market is expanding due to the growing need for
generative artificial intelligence in the banking sector and in autonomous
vehicles. The market is expanding dramatically due to factors such rising
industry adoption, more processing power, an abundance of data, and innovative
model architecture.
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Impact of Covid-19
COVID-19 has had a mixed effect on the market for
generative AI. On the one side, the epidemic brought attention to how important
technology is, speeding up efforts for digital transformation and raising
interest in artificial intelligence (AI) solutions. The demand for generative
AI applications was also spurred by remote work and the necessity for
automation. Nonetheless, financial strains and unpredictability in the economy
impacted particular sectors, which might have slowed the AI sector's expansion.
Growth Drivers
Generative AI is being used by companies in a wide range of
industries to automate procedures, boost productivity, and simplify operations.
GANs and transformer models, two deep learning techniques that are still being
developed, have enhanced the capabilities of generative AI, making it more
potent and adaptable.
In creative industries like design, painting, and content
creation, generative AI is becoming more and more popular as a tool for
producing original and creative material. Growth in the field is being driven
by the healthcare industry's growing desire to investigate generative
AI for tasks like drug discovery, customized medicine, and
medical picture analysis.
Generative AI is being used by companies in a wide range of
industries to automate procedures, boost productivity, and simplify operations.
Hardware advancements like GPUs and TPUs make it possible to train complicated
generative models more quickly, which makes it easier to integrate them into a
wider range of applications. The market is expanding at a quick pace due to the
rapid expansion of major language models.
Segmentation
By Application
Application by
Business function
· Marketing
and Sales
· Human
Resource
· Operations
· Finance
· Research
and Development
· Others
Application by
Data Modality
· Text
· Code
· Image
· Video
· Audio
and Speech
By Vertical
Media and
Entertainment
· Digital
Marketing
· Sales
Intelligence
· Data
Visualization
· Customer
Experience
· Application
Development and AI integration
· Media
Editing
· Synthetic
Data training
BFSI
· Digital
Marketing
· Sales
Intelligence
· Data
Visualization
· Customer
Experience
· Media
Editing
· Risk
Management
Healthcare and
Life Sciences
· Digital
Marketing
· Sales
Intelligence
· Data
Visualization
· Customer
Experience
· Media
Editing
· Synthetic
Data Training
Regional Outlook
· Asia
Pacific
· North
America
· Europe
· Latin
America
· Middle
East and Africa
Key Players
· Microsoft
· IBM
· Google
· Adobe
· Meta
· Giphy
· Dialpad
· Persado
· Codacy
· Midjourney
· Floworks
· Inventive
· Sonet
· Speechify
· Zetaalfa
· Deep
Search labs
· Font
joy
· Magic
Studio
· Other
Players
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Us: -
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Segmentation, Competitive Analysis, Strategic Assessment and Business
Modelling.
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