Global Generative AI Market
Global Generative AI Market By Offerings (Hardware, Software, Service), By Application (Natural Language Processing, ML-based Predictive Modeling, Computer Vision, Robotics and Automation, Others), By Vertical (Media & Entertainment, Transporation and Logistics, Manufacturing, IT and ITES, Healthcare & Life Science, Others) And By Geography – Covid-19 Impact Analysis, Post Covid Analysis, Opportunities, Trends And Forecast From 2020 to 2032
The global Generative AI market was valued at $38.43 Billion in 2022 and is anticipated to grow at a CAGR of 38.68% from 2023 to 2033. This growth is attributed to several macro and microeconomic factors such as
Increasing range of applications and use cases across various industriesWide range of applications and use cases across various industries is a pivotal force fueling the growth of the global generative AI market. This factor underscores the wide-ranging transformative potential of generative AI technology across diverse industries. Generative AI, particularly through models like Generative Adversarial Networks (GANs), has revolutionized content creation and creative industries by automating the generation of art, design, and multimedia content, expediting creative processes and fostering innovation. In the entertainment and media sectors, generative AI enhances virtual experiences, scriptwriting, and special effects, while also reducing production costs. Design and architecture professionals benefit from generative AI's ability to explore design iterations and optimize layouts, leading to more efficient and visually appealing structures. In personalized marketing and e-commerce, generative AI tailors content and recommendations based on individual preferences, fostering higher engagement and conversion rates. Moreover, generative AI's impact extends to healthcare, drug discovery, fashion, retail, language translation, gaming, storytelling, and virtual reality, offering innovative solutions and enhancing user experiences across these domains. As organizations continue to leverage generative AI for advanced applications, the generative AI market is poised for further expansion, driving innovation and addressing complex challenges in diverse industries.
Further several factors restraining the market growth includeEthical and legal aspects of handling datasets
Data privacy concerns revolve around the ethical and legal aspects of handling vast datasets, often containing sensitive or personal information, which are instrumental in training generative AI models. As data privacy regulations, such as GDPR and CCPA, become more stringent, organizations must navigate complex compliance requirements to safeguard user data. The challenge extends to securing consent for data usage, ensuring effective anonymization techniques to protect user identities, and addressing algorithmic biases to prevent the disclosure of sensitive information. Furthermore, data retention policies, cross-border data transfer restrictions, and the risk of security vulnerabilities pose additional hurdles. Addressing data privacy concerns demands a multifaceted approach, including robust cybersecurity measures, transparent user consent processes, and comprehensive educational efforts to ensure responsible data handling and foster trust among users and regulatory bodies alike.
AR/VR and collaborations and alliances in the Generative AI market are expected to generate higher avenues during the forecast period.In the wake of the COVID-19 pandemic, supply chain disruptions have led to supply shortages or lower demand in the Generative AI market. The pandemic has caused a decline in new orders and a corresponding decrease in production.
This section will analyze how COVID-19 has impacted supply chains, leading to shortages and lower demand for Generative AI.
In terms of COVID-19 impact, the Generative AI market report also includes the following data points:Impact on Generative AI market size
Operating Weights Trend, Preferences, and Budget Impact
Regulatory Framework/Outdoor Policies
Key Players' Strategy to Tackle Negative Impact/Post-COVID Strategies
Opportunity in the Generative AI market
Key Insight in the report:The global Generative AI market report covers an executive summary, market dynamics, COVID impact & post-COVID scenario, market size and forecast, competitive intelligence, market positioning, and Applications.
Our report covers extensive competitive intelligence which includes the following data points:Business Overview
Business Segment Data
Financial Data
Product Segment Analysis and Specification
Recent Development and Company Strategy Analysis
SWOT Analysis
Generative AI Market Segmentation:Offerings
Hardware
Software
Service
Application
Natural Language Processing
ML-based Predictive Modeling
Computer Vision
Robotics and Automation
Others
Vertical
Media & Entertainment
Transporation and Logistics
Manufacturing
IT and ITES
Healthcare & Life Science
Others
Region/ Countries Covered:North America
US
Canada
Mexico
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
Australia
India
Japan
South Korea
South East Asia
Rest of Asia Pacific
Latin America
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Saudi Arabia
UAE
Egypt
South Africa
Rest of Middle East & Africa
Key Players Analyzed in the Report:IBM CORPORATION
Google LLC
Microsoft Corporation
Adobe
Genie AI
Rephrase.ai
Synthesia
OpenAI
Meta
MOSTLY AI