Generative AI Market Growth, Size, Trends, Demand, Revenue, Competition and Future Outlook

Generative AI Market Size- By Component, By Technology, By End Users- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Generative AI Market Size- By Component, By Technology, By End Users- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Published: Jan 2024 Report ID: IACT2405 Pages: 1 - 234 Formats*:     
Category : Information & Communications Technology
Generative AI Market Introduction and Overview 

According to SPER Market Research, the Global Generative AI Market is estimated to reach USD 257.61 billion by 2033 with a CAGR of 34.31%.

Generative AI is a branch of artificial intelligence that focuses on the creation or generation of new content, such as original and real-looking images, texts, music, or videos. Machine learning models are trained to learn and understand patterns in existing data in order to generate new and original content. It typically uses deep learning algorithms, such as Generative Algorithms (GAN) and Variational Auto-Encoders (VAE), to generate content that is similar to input data. Generative AI models learn the patterns and structure of the training data, and generate new content by extrapolating knowledge.

  • January 2023: Nvidia launched enterprise Metaverse technologies, such as virtual reality (VR) and augmented reality (AR) for a variety of generative artificial intelligence tools, including Omniversum. The company also unveiled its Omniverse portal, which includes updates for RTX and 3D, as well as an early-access program for developers who want to build avatars or virtual assistants.
Generative AI Market
Market Opportunities and Challenges
The demand for AI generated content is on the rise across various industries. In media and entertainment (M&E), gaming, advertising, and other sectors, there is an ever-growing need for fresh, engaging content to engage viewers and consumers. In digital marketing (DMT), AI generated personalized advertisements can target specific customer preferences to increase conversion rates. As deep learning continues to advance, the market for generative AI will continue to grow. Generative modeling has been revolutionized by deep learning algorithms, particularly those based on GANs and VAEs. Researchers and developers have continued to refine these algorithms, optimize model architectures and introduce new techniques to stabilise training and improve the quality of the generated content. As companies continue to look for ways to improve content creation and personalize ads, the demand for generative AI should continue to grow significantly.

Generative AI requires a high level of expertise in areas such as Machine Learning, Statistics, and Computer Science. There is a high demand for skilled people in the field, but there is also a low supply of talent. As a result, it can be challenging for companies to find the right talent for the development and deployment of generic AI solutions. The adoption of generic AI may be hindered by legal and regulatory constraints, such as data protection laws, restrictions on the usage of AI in specific industries or applications, which can reduce the adoption of generic AI and increase compliance costs.

Generative AI Market


Market Competitive Landscape
Generative AI solution & service providers have adopted a variety of inorganic and organic growth strategies, including new product introductions, product updates, partnerships and agreements, business growth, and mergers & acquisitions to increase their market presence. The major players in the Global Generative AI Market include: Adobe, Amazon Web Services, Genie AI Ltd., Google LLC, IBM Corporation, Inc., Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, Synthesia and Others. 

Scope of the Report:

 Report Metric Details
 Market size available for years 2019-2033
 Base year considered 2022
 Forecast period 2023-2033
 Segments coveredBy Component, By Technology, By End Users
 Regions coveredNorth America, Asia-Pacific, Latin America, Middle East & Africa and Europe
 Companies CoveredAdobe, Amazon Web Services, Genie AI Ltd., Google LLC, IBM Corporation, Inc., Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, Synthesia 
COVID-19 Impact on Global Generative AI Market
COVID-19 had a positive effect on the Generative AI market. The pandemic caused major disruptions across industries, and companies turned to AI-based solutions to address new challenges. Generative AI technologies like natural language processing (NLP) and image synthesis played an important role in drug discovery and vaccine development, as well as in medical research and data analysis. The shift to remote work also led to an increase in automation and AI-powered tools to increase productivity and efficiency. As a result, there was an increase in demand and adoption for Generative AI applications. This led to an expansion of the market and an increase in AI R&D investments. As a result, COVID-19 accelerated the growth and use of Generative AI across various sectors, creating new opportunities and advances in the field.

Key Target Audience:
  • Healthcare Professionals
  • Gaming and Entertainment
  • Robotics and Automation
  • Data Scientists and Analysts
  • Businesses and Industries
Our in-depth analysis of the Generative AI Market includes the following segments:
By Component:
  • Services
  • Software
  • By Technology:
  • Diffusion Networks
  • Generative Adversarial Networks (GANs)
  • Transformers
  • Variational Auto-encoders
  • By End Users:
  • Automotive & Transportation
  • BFSI
  • Healthcare
  • IT & Telecommunication
  • Media & Entertainment
  • Key Topics Covered in the Report:
    • Global Generative AI Market Size (FY’2023-FY’2033)
    • Overview of Global Generative AI Market
    • Segmentation of Global Generative AI Market By Component (Services, Software)
    • Segmentation of Global Generative AI Market By Technology (Diffusion Networks, Generative Adversarial Networks (GANs), Transformers, Variational Auto-encoders)
    • Segmentation of Global Generative AI Market By End Users (Automotive & Transportation, BFSI, Healthcare, IT & Telecommunication, Media & Entertainment) 
    • Statistical Snap of Global Generative AI Market 
    • Expansion Analysis of Global Generative AI Market 
    • Problems and Obstacles in Global Generative AI Market
    • Competitive Landscape in the Global Generative AI Market
    • Impact of COVID-19 and Demonetization on Global Generative AI Market 
    • Details on Current Investment in Global Generative AI Market
    • Competitive Analysis of Global Generative AI Market 
    • Prominent Players in the Global Generative AI Market 
    • SWOT Analysis of Global Generative AI Market 
    • Global Generative AI Market Future Outlook and Projections (FY’2023-FY’2033)
    • Recommendations from Analyst
    1. Introduction
    1.1. Scope of the report
    1.2. Market segment analysis

    2. Research Methodology
    2.1. Research data source
    2.1.1. Secondary Data
    2.1.2. Primary Data
    2.1.3. SPER’s internal database
    2.1.4. Premium insight from KOL’s
    2.2. Market size estimation
    2.2.1. Top-down and Bottom-up approach
    2.3. Data triangulation

    3. Executive Summary

    4. Market Dynamics
    4.1. Driver, Restraint, Opportunity and Challenges analysis
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunities
    4.1.4. Challenges
    4.2. COVID-19 Impacts of the Global Generative AI Market 

    5. Market variable and outlook
    5.1. SWOT Analysis
    5.1.1. Strengths
    5.1.2. Weaknesses
    5.1.3. Opportunities
    5.1.4. Threats
    5.2. PESTEL Analysis
    5.2.1. Political Landscape
    5.2.2. Economic Landscape
    5.2.3. Social Landscape
    5.2.4. Technological Landscape
    5.2.5. Environmental Landscape
    5.2.6. Legal Landscape
    5.3. PORTER’s Five Forces 
    5.3.1. Bargaining power of suppliers
    5.3.2. Bargaining power of buyers
    5.3.3. Threat of Substitute
    5.3.4. Threat of new entrant
    5.3.5. Competitive rivalry
    5.4. Heat Map Analysis

    6. Competitive Landscape
    6.1. Global Generative AI Market Manufacturing Base Distribution, Sales Area, Product Type 
    6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Generative AI Market 

    7. Global Generative AI Market, By Component (USD Million)
    7.1. Global Generative AI Market Value Share and Forecast, By Component, 2023-2033
    7.2. Services
    7.3. Software

    8. Global Generative AI Market, By Technology (USD Million)
    8.1. Global Generative AI Market Value Share and Forecast, By Technology, 2023-2033
    8.2. Diffusion Networks
    8.3. Generative Adversarial Networks (GANs)
    8.4. Transformers
    8.5. Variational Auto-encoders

    9. Global Generative AI Market, By End Users (USD Million)
    9.1. Global Generative AI Market Value Share and Forecast, By End Users, 2023-2033
    9.2. Automotive & Transportation
    9.3. BFSI
    9.4. Healthcare
    9.5. IT & Telecommunication
    9.6. Media & Entertainment 

    10. Global Generative AI Market Forecast, 2019-2033 (USD Million)
    10.1. Global Generative AI Market Size and Market Share

    11. Global Generative AI Market, By Component 2019-2033 (USD Million)
    11.1. Global Generative AI Market Size and Market Share By Component (2019-2026)
    11.2. Global Generative AI Market Size and Market Share By Component (2027-2033)

    12. Global Generative AI Market, By Technology, 2019-2033 (USD Million)
    12.1. Global Generative AI Market Size and Market Share By Technology (2019-2026)
    12.2. Global Generative AI Market Size and Market Share By Technology (2027-2033)

    13. Global Generative AI Market, By End Users, 2019-2033 (USD Million)
    13.1. Global Generative AI Market Size and Market Share By End Users (2019-2026)
    13.2. Global Generative AI Market Size and Market Share By End Users (2027-2033)

    14. Global Generative AI Market, By Region, 2019-2033 (USD Million)
    14.1. Global Generative AI Market Size and Market Share By Region (2019-2026)
    14.2. Global Generative AI Market Size and Market Share By Region (2027-2033) 
    14.3. Asia-Pacific
    14.3.1. Australia
    14.3.2. China
    14.3.3. India
    14.3.4. Japan
    14.3.5. South Korea
    14.3.6. Rest of Asia-Pacific
    14.4. Europe
    14.4.1. France
    14.4.2. Germany
    14.4.3. Italy
    14.4.4. Spain
    14.4.5. United Kingdom
    14.4.6. Rest of Europe
    14.5. Middle East and Africa
    14.5.1. Kingdom of Saudi Arabia 
    14.5.2. United Arab Emirates
    14.5.3. Rest of Middle East & Africa
    14.6. North America
    14.6.1. Canada
    14.6.2. Mexico
    14.6.3. United States
    14.7. Latin America
    14.7.1. Argentina
    14.7.2. Brazil
    14.7.3. Rest of Latin America 

    15. Company Profile
    15.1. Adobe
    15.1.1. Company details
    15.1.2. Financial outlook
    15.1.3. Product summary 
    15.1.4. Recent developments
    15.2. Amazon Web Services
    15.2.1. Company details
    15.2.2. Financial outlook
    15.2.3. Product summary 
    15.2.4. Recent developments
    15.3. D-ID 
    15.3.1. Company details
    15.3.2. Financial outlook
    15.3.3. Product summary 
    15.3.4. Recent developments
    15.4. Genie AI Ltd.  
    15.4.1. Company details
    15.4.2. Financial outlook
    15.4.3. Product summary 
    15.4.4. Recent developments
    15.5. Google LLC  
    15.5.1. Company details
    15.5.2. Financial outlook
    15.5.3. Product summary 
    15.5.4. Recent developments
    15.6. IBM Corporation  
    15.6.1. Company details
    15.6.2. Financial outlook
    15.6.3. Product summary 
    15.6.4. Recent developments
    15.7. Microsoft Corporation
    15.7.1. Company details
    15.7.2. Financial outlook
    15.7.3. Product summary 
    15.7.4. Recent developments
    15.8. MOSTLY AI Inc.
    15.8.1. Company details
    15.8.2. Financial outlook
    15.8.3. Product summary 
    15.8.4. Recent developments
    15.9.  Rephrase.ai
    15.9.1. Company details
    15.9.2. Financial outlook
    15.9.3. Product summary 
    15.9.4. Recent developments
    15.10. Synthesia
    15.10.1. Company details
    15.10.2. Financial outlook
    15.10.3. Product summary 
    15.10.4. Recent developments
    15.11. Others 
     
    16. List of Abbreviations

    17. Reference Links

    18. Conclusion

    19. Research Scope

    SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

    The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings.  The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

    SPER-Methodology-1

    SPER-Methodology-2

    SPER-Methodology-3


    Frequently Asked Questions About This Report
    It typically uses deep learning algorithms, such as Generative Algorithms (GAN) and Variational Auto-Encoders (VAE), to generate content that is similar to input data.
    Generative AI Market is projected to reach USD 257.61 Billion by 2033, growing at a CAGR of 34.31% during the forecast period.
    Generative AI Market grew in market size from 2023. The Market is expected to reach USD 257.61 Billion by 2033, at a CAGR of 34.31% during the forecast period.
    Generative AI Market CAGR of 34.31% during the forecast period.
    You can get the sample pages by clicking the link -Click Here
    Generative AI Market size is USD 257.61 Billion from 2023 to 2033.
    Generative AI Market Segment is Covered By Component, By Technology, By End Users
    The North America region is anticipated to have the highest market share in Generative AI Market.
    The key players in the market include Companies Covered Adobe, Amazon Web Services, Genie AI Ltd., Google LLC, IBM Corporation, Inc., Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, Synthesia
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