Generative AI for Content Creation Market Forecasts to 2032 – Global Analysis By Content Type (Text Generation, Image Generation, Audio Generation, Video Generation, Code Generation, and Other Content Types), Component (Software and Services), Deployment
Description
According to Stratistics MRC, the Global Generative AI for Content Creation Market is accounted for $19.34 billion in 2025 and is expected to reach $126.02 billion by 2032 growing at a CAGR of 30.7% during the forecast period. Generative AI for content creation refers to advanced artificial intelligence systems designed to autonomously produce high-quality, original digital content across multiple formats, including text, images, audio, video, and code. Leveraging deep learning, natural language processing, and generative models such as GANs and transformers, these systems can replicate human-like creativity, enhance productivity, and enable personalized content at scale. This technology is increasingly adopted across industries for marketing, entertainment, design, and knowledge work, driving efficiency and innovation in content workflows.
Market Dynamics:
Driver:
Unprecedented efficiency & speed
Advanced AI algorithms enable rapid generation of high-quality text, images, videos, and audio content at scale, dramatically reducing production timelines from days to minutes. This unprecedented acceleration allows businesses to meet growing demands for personalized, multilingual content across diverse platforms while maintaining consistency and quality. Organizations leverage these capabilities to automate repetitive creative tasks, enabling human resources to focus on strategic initiatives and complex creative endeavors, ultimately driving cost-effectiveness and competitive advantage.
Restraint:
Copyright ambiguity & IP concerns
AI models trained on copyrighted materials may inadvertently generate content that infringes on existing trademarks, patents, or legally protected intellectual property, exposing organizations to potential litigation risks. Copyright ownership questions surrounding AI-generated content remain unresolved, creating ambiguity about authorship rights and commercial usage permissions. These ethical and legal challenges prompt discussions on regulatory frameworks and compliance requirements, potentially slowing market innovation and forcing organizations to implement extensive oversight mechanisms for AI-generated outputs.
Opportunity:
Integration into existing creative workflows
Organizations can seamlessly incorporate AI tools into established content production pipelines, enabling writers, designers, and marketers to collaborate with AI for ideation, drafting, and refinement processes. This collaborative approach democratizes content creation by making advanced AI capabilities accessible to non-technical users across various industries. The development of user-friendly, platform-agnostic AI tools that integrate with popular creative software suites creates new market segments, particularly among small businesses and independent creators seeking professional-grade content capabilities without extensive technical expertise.
Threat:
Deepfakes & misinformation proliferation
Advanced AI models can produce highly realistic but fabricated content, including synthetic videos, audio recordings, and text that can mislead audiences and undermine trust in AI-generated media. This capability enables malicious actors to accelerate sophisticated disinformation campaigns and create convincing fake content for deceptive purposes. The potential for AI-generated content to dilute human creativity and contribute to information pollution raises ethical concerns among consumers and regulators, potentially triggering restrictive regulations that could limit market growth.
Covid-19 Impact
The COVID-19 pandemic significantly accelerated generative AI adoption in content creation markets, creating unprecedented demand for scalable digital content solutions. Physical restrictions and lockdowns forced businesses, educators, entertainers, and marketers to rapidly transition online operations, generating urgent needs for high-volume content production with minimal human intervention. Generative AI tools became essential solutions for meeting exponential growth in online content requirements, from educational materials to marketing campaigns. This digital transformation permanently shifted consumer-brand interactions toward AI-enhanced channels, establishing generative AI as a critical infrastructure component for sustained business operations.
The text generation segment is expected to be the largest during the forecast period
The text generation segment is expected to account for the largest market share during the forecast period. This dominance stems from widespread applications across industries, including media, marketing, customer service, and e-commerce, where AI-driven text generation automates content creation for articles, reports, emails, and social media posts. Advanced natural language processing technologies enable sophisticated understanding and generation of human-like text that is increasingly accurate, engaging, and tailored to specific audiences. The cost-effectiveness of text generation software allows organizations to allocate human creative resources to strategic projects while maintaining consistent brand voice across platforms, driving continued market leadership.
The individual creators & freelancers segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the individual creators & freelancers segment is predicted to witness the highest growth rate, driven by the democratization of advanced content creation capabilities. User-friendly generative AI tools requiring minimal technical expertise are enabling independent creators to produce professional-grade content previously accessible only to large organizations with substantial resources. The proliferation of creator economy platforms and the growing trend toward personalized content experiences are fueling demand among freelancers seeking competitive advantages through AI-enhanced productivity. Cost-effective cloud-based AI platforms are making sophisticated content generation tools increasingly accessible to smaller budgets, expanding market participation and driving accelerated growth within this segment.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share, driven by advanced AI infrastructure, substantial technology investments, and widespread enterprise adoption of generative AI solutions across entertainment, marketing, and media industries. The United States leads regional market development with established tech ecosystems, significant venture capital funding, and early adoption of AI-powered content creation platforms. Strong regulatory frameworks, mature digital transformation initiatives, and the concentrated presence of leading AI companies, including Google, Microsoft, and OpenAI, reinforce North America's market leadership position.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by massive digital transformation initiatives across emerging economies, increasing internet penetration, and growing demand for localized multilingual content creation. Rising investments in AI infrastructure, government support for technology adoption, and expanding creator economy platforms are fueling regional market development. The region's diverse linguistic landscape creates substantial opportunities for AI-powered content localization and culturally adapted content generation, while cost-effective development resources and growing tech talent pools support sustained innovation and market expansion.
Key players in the market
Some of the key players in Generative AI for Content Creation Market include OpenAI, Anthropic, Google/Alphabet, Microsoft, Adobe, Stability AI, Midjourney, Runway, Hugging Face, Canva, Jasper, Copy.ai, Writesonic, Grammarly, Synthesia, ElevenLabs, Descript, Amazon Web Services, Meta Platforms, and IBM.
Key Developments:
In April 2025, The Washington Post announced today a strategic partnership with OpenAI to make high-quality news more accessible in ChatGPT. As part of this partnership, ChatGPT will display summaries, quotes, and links to original reporting from The Post in response to relevant questions. This partnership reflects a shared commitment to making reliable, factual information easier to find and engage with, especially on complex or fast-moving topics, where timely, well-sourced reporting, like that of The Post, matters most.
In October 2024, Adobe announced the general availability of Adobe GenStudio for Performance Marketing, a new generative AI-first application that empowers brands and agencies to accelerate the delivery of global advertising and marketing campaigns. The new offering addresses one of the biggest challenges facing businesses today, where the need for highly personalized, on-brand and performant content—across a myriad of channels and geographies—is outstripping available resources. In fact, between now and 2026, nearly two-thirds of marketers believe the demand for content will grow by at least five times, driven by consumers who expect brand experiences that are dynamic and personalized to their interests.
In March 2024, Media.Monks and Runway are entering into a collaborative partnership that provides the global creative teams and clients of Media.Monks with advanced access to new creative tools and artificial intelligence (AI) models.
Content Types Covered:
• Text Generation
• Image Generation
• Audio Generation
• Video Generation
• Code Generation
• Multimodal & Cross-Format Generation
• Interactive & Immersive Content (AR/VR/3D)
• Other Content Types
Components:
• Software
• Services
Deployment Modes Covered:
• Cloud-based
• On-premises
Applications Covered:
• Marketing & Advertising
• Media & Entertainment
• Gaming
• E-commerce & Retail
• Education & E-Learning
• Healthcare
• IT Services
• Software Development
• Other Applications
End Users Covered:
• Enterprises
• Small & Medium-sized Businesses (SMBs)
• Individual Creators & Freelancers
• Agencies
Regions Covered:
• North America US Canada Mexico
• Europe Germany UK Italy France Spain Rest of Europe
• Asia Pacific Japan China India Australia New Zealand South KoreaRest of Asia Pacific
• South America Argentina Brazil Chile Rest of South America
• Middle East & Africa Saudi Arabia UAE Qatar South Africa Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Market Dynamics:
Driver:
Unprecedented efficiency & speed
Advanced AI algorithms enable rapid generation of high-quality text, images, videos, and audio content at scale, dramatically reducing production timelines from days to minutes. This unprecedented acceleration allows businesses to meet growing demands for personalized, multilingual content across diverse platforms while maintaining consistency and quality. Organizations leverage these capabilities to automate repetitive creative tasks, enabling human resources to focus on strategic initiatives and complex creative endeavors, ultimately driving cost-effectiveness and competitive advantage.
Restraint:
Copyright ambiguity & IP concerns
AI models trained on copyrighted materials may inadvertently generate content that infringes on existing trademarks, patents, or legally protected intellectual property, exposing organizations to potential litigation risks. Copyright ownership questions surrounding AI-generated content remain unresolved, creating ambiguity about authorship rights and commercial usage permissions. These ethical and legal challenges prompt discussions on regulatory frameworks and compliance requirements, potentially slowing market innovation and forcing organizations to implement extensive oversight mechanisms for AI-generated outputs.
Opportunity:
Integration into existing creative workflows
Organizations can seamlessly incorporate AI tools into established content production pipelines, enabling writers, designers, and marketers to collaborate with AI for ideation, drafting, and refinement processes. This collaborative approach democratizes content creation by making advanced AI capabilities accessible to non-technical users across various industries. The development of user-friendly, platform-agnostic AI tools that integrate with popular creative software suites creates new market segments, particularly among small businesses and independent creators seeking professional-grade content capabilities without extensive technical expertise.
Threat:
Deepfakes & misinformation proliferation
Advanced AI models can produce highly realistic but fabricated content, including synthetic videos, audio recordings, and text that can mislead audiences and undermine trust in AI-generated media. This capability enables malicious actors to accelerate sophisticated disinformation campaigns and create convincing fake content for deceptive purposes. The potential for AI-generated content to dilute human creativity and contribute to information pollution raises ethical concerns among consumers and regulators, potentially triggering restrictive regulations that could limit market growth.
Covid-19 Impact
The COVID-19 pandemic significantly accelerated generative AI adoption in content creation markets, creating unprecedented demand for scalable digital content solutions. Physical restrictions and lockdowns forced businesses, educators, entertainers, and marketers to rapidly transition online operations, generating urgent needs for high-volume content production with minimal human intervention. Generative AI tools became essential solutions for meeting exponential growth in online content requirements, from educational materials to marketing campaigns. This digital transformation permanently shifted consumer-brand interactions toward AI-enhanced channels, establishing generative AI as a critical infrastructure component for sustained business operations.
The text generation segment is expected to be the largest during the forecast period
The text generation segment is expected to account for the largest market share during the forecast period. This dominance stems from widespread applications across industries, including media, marketing, customer service, and e-commerce, where AI-driven text generation automates content creation for articles, reports, emails, and social media posts. Advanced natural language processing technologies enable sophisticated understanding and generation of human-like text that is increasingly accurate, engaging, and tailored to specific audiences. The cost-effectiveness of text generation software allows organizations to allocate human creative resources to strategic projects while maintaining consistent brand voice across platforms, driving continued market leadership.
The individual creators & freelancers segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the individual creators & freelancers segment is predicted to witness the highest growth rate, driven by the democratization of advanced content creation capabilities. User-friendly generative AI tools requiring minimal technical expertise are enabling independent creators to produce professional-grade content previously accessible only to large organizations with substantial resources. The proliferation of creator economy platforms and the growing trend toward personalized content experiences are fueling demand among freelancers seeking competitive advantages through AI-enhanced productivity. Cost-effective cloud-based AI platforms are making sophisticated content generation tools increasingly accessible to smaller budgets, expanding market participation and driving accelerated growth within this segment.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share, driven by advanced AI infrastructure, substantial technology investments, and widespread enterprise adoption of generative AI solutions across entertainment, marketing, and media industries. The United States leads regional market development with established tech ecosystems, significant venture capital funding, and early adoption of AI-powered content creation platforms. Strong regulatory frameworks, mature digital transformation initiatives, and the concentrated presence of leading AI companies, including Google, Microsoft, and OpenAI, reinforce North America's market leadership position.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by massive digital transformation initiatives across emerging economies, increasing internet penetration, and growing demand for localized multilingual content creation. Rising investments in AI infrastructure, government support for technology adoption, and expanding creator economy platforms are fueling regional market development. The region's diverse linguistic landscape creates substantial opportunities for AI-powered content localization and culturally adapted content generation, while cost-effective development resources and growing tech talent pools support sustained innovation and market expansion.
Key players in the market
Some of the key players in Generative AI for Content Creation Market include OpenAI, Anthropic, Google/Alphabet, Microsoft, Adobe, Stability AI, Midjourney, Runway, Hugging Face, Canva, Jasper, Copy.ai, Writesonic, Grammarly, Synthesia, ElevenLabs, Descript, Amazon Web Services, Meta Platforms, and IBM.
Key Developments:
In April 2025, The Washington Post announced today a strategic partnership with OpenAI to make high-quality news more accessible in ChatGPT. As part of this partnership, ChatGPT will display summaries, quotes, and links to original reporting from The Post in response to relevant questions. This partnership reflects a shared commitment to making reliable, factual information easier to find and engage with, especially on complex or fast-moving topics, where timely, well-sourced reporting, like that of The Post, matters most.
In October 2024, Adobe announced the general availability of Adobe GenStudio for Performance Marketing, a new generative AI-first application that empowers brands and agencies to accelerate the delivery of global advertising and marketing campaigns. The new offering addresses one of the biggest challenges facing businesses today, where the need for highly personalized, on-brand and performant content—across a myriad of channels and geographies—is outstripping available resources. In fact, between now and 2026, nearly two-thirds of marketers believe the demand for content will grow by at least five times, driven by consumers who expect brand experiences that are dynamic and personalized to their interests.
In March 2024, Media.Monks and Runway are entering into a collaborative partnership that provides the global creative teams and clients of Media.Monks with advanced access to new creative tools and artificial intelligence (AI) models.
Content Types Covered:
• Text Generation
• Image Generation
• Audio Generation
• Video Generation
• Code Generation
• Multimodal & Cross-Format Generation
• Interactive & Immersive Content (AR/VR/3D)
• Other Content Types
Components:
• Software
• Services
Deployment Modes Covered:
• Cloud-based
• On-premises
Applications Covered:
• Marketing & Advertising
• Media & Entertainment
• Gaming
• E-commerce & Retail
• Education & E-Learning
• Healthcare
• IT Services
• Software Development
• Other Applications
End Users Covered:
• Enterprises
• Small & Medium-sized Businesses (SMBs)
• Individual Creators & Freelancers
• Agencies
Regions Covered:
• North America US Canada Mexico
• Europe Germany UK Italy France Spain Rest of Europe
• Asia Pacific Japan China India Australia New Zealand South KoreaRest of Asia Pacific
• South America Argentina Brazil Chile Rest of South America
• Middle East & Africa Saudi Arabia UAE Qatar South Africa Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Table of Contents
200 Pages
- 1 Executive Summary
- 2 Preface
- 2.1 Abstract
- 2.2 Stake Holders
- 2.3 Research Scope
- 2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
- 2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions
- 3 Market Trend Analysis
- 3.1 Introduction
- 3.2 Drivers
- 3.3 Restraints
- 3.4 Opportunities
- 3.5 Threats
- 3.6 Application Analysis
- 3.7 End User Analysis
- 3.8 Emerging Markets
- 3.9 Impact of Covid-19
- 4 Porters Five Force Analysis
- 4.1 Bargaining power of suppliers
- 4.2 Bargaining power of buyers
- 4.3 Threat of substitutes
- 4.4 Threat of new entrants
- 4.5 Competitive rivalry
- 5 Global Generative AI for Content Creation Market, By Content Type
- 5.1 Introduction
- 5.2 Text Generation
- 5.3 Image Generation
- 5.4 Audio Generation
- 5.5 Video Generation
- 5.6 Code Generation
- 5.7 Multimodal & Cross-Format Generation
- 5.8 Interactive & Immersive Content (AR/VR/3D)
- 5.9 Other Content Types
- 6 Global Generative AI for Content Creation Market, By Component
- 6.1 Introduction
- 6.2 Software
- 6.2.1 Standalone Platforms
- 6.2.2 API & SDKs
- 6.2.3 Cloud-based Solutions
- 6.3 Services
- 6.3.1 Consulting Services
- 6.3.2 Implementation & Integration Services
- 6.3.3 Training & Support Services
- 7 Global Generative AI for Content Creation Market, By Deployment Mode
- 7.1 Introduction
- 7.2 Cloud-based
- 7.3 On-premises
- 8 Global Generative AI for Content Creation Market, By Application
- 8.1 Introduction
- 8.2 Marketing & Advertising
- 8.3 Media & Entertainment
- 8.4 Gaming
- 8.5 E-commerce & Retail
- 8.6 Education & E-Learning
- 8.7 Healthcare
- 8.8 IT Services
- 8.9 Software Development
- 8.10 Other Applications
- 9 Global Generative AI for Content Creation Market, By End User
- 9.1 Introduction
- 9.2 Enterprises
- 9.3 Small & Medium-sized Businesses (SMBs)
- 9.4 Individual Creators & Freelancers
- 9.5 Agencies
- 10 Global Generative AI for Content Creation Market, By Geography
- 10.1 Introduction
- 10.2 North America
- 10.2.1 US
- 10.2.2 Canada
- 10.2.3 Mexico
- 10.3 Europe
- 10.3.1 Germany
- 10.3.2 UK
- 10.3.3 Italy
- 10.3.4 France
- 10.3.5 Spain
- 10.3.6 Rest of Europe
- 10.4 Asia Pacific
- 10.4.1 Japan
- 10.4.2 China
- 10.4.3 India
- 10.4.4 Australia
- 10.4.5 New Zealand
- 10.4.6 South Korea
- 10.4.7 Rest of Asia Pacific
- 10.5 South America
- 10.5.1 Argentina
- 10.5.2 Brazil
- 10.5.3 Chile
- 10.5.4 Rest of South America
- 10.6 Middle East & Africa
- 10.6.1 Saudi Arabia
- 10.6.2 UAE
- 10.6.3 Qatar
- 10.6.4 South Africa
- 10.6.5 Rest of Middle East & Africa
- 11 Key Developments
- 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
- 11.2 Acquisitions & Mergers
- 11.3 New Product Launch
- 11.4 Expansions
- 11.5 Other Key Strategies
- 12 Company Profiling
- 12.1 OpenAI
- 12.2 Anthropic
- 12.3 Google / Alphabet
- 12.4 Microsoft
- 12.5 Adobe
- 12.6 Stability AI
- 12.7 Midjourney
- 12.8 Runway
- 12.9 Hugging Face
- 12.10 Canva
- 12.11 Jasper
- 12.12 Copy.ai
- 12.13 Writesonic
- 12.14 Grammarly
- 12.15 Synthesia
- 12.16 ElevenLabs
- 12.17 Descript
- 12.18 Amazon Web Services
- 12.19 Meta Platforms
- 12.20 IBM
- List of Tables
- Table 1 Global Generative AI for Content Creation Market Outlook, By Region (2024-2032) ($MN)
- Table 2 Global Generative AI for Content Creation Market Outlook, By Content Type (2024-2032) ($MN)
- Table 3 Global Generative AI for Content Creation Market Outlook, By Text Generation (2024-2032) ($MN)
- Table 4 Global Generative AI for Content Creation Market Outlook, By Image Generation (2024-2032) ($MN)
- Table 5 Global Generative AI for Content Creation Market Outlook, By Audio Generation (2024-2032) ($MN)
- Table 6 Global Generative AI for Content Creation Market Outlook, By Video Generation (2024-2032) ($MN)
- Table 7 Global Generative AI for Content Creation Market Outlook, By Code Generation (2024-2032) ($MN)
- Table 8 Global Generative AI for Content Creation Market Outlook, By Multimodal & Cross-Format Generation (2024-2032) ($MN)
- Table 9 Global Generative AI for Content Creation Market Outlook, By Interactive & Immersive Content (AR/VR/3D) (2024-2032) ($MN)
- Table 10 Global Generative AI for Content Creation Market Outlook, By Other Content Types (2024-2032) ($MN)
- Table 11 Global Generative AI for Content Creation Market Outlook, By Component (2024-2032) ($MN)
- Table 12 Global Generative AI for Content Creation Market Outlook, By Software (2024-2032) ($MN)
- Table 13 Global Generative AI for Content Creation Market Outlook, By Standalone Platforms (2024-2032) ($MN)
- Table 14 Global Generative AI for Content Creation Market Outlook, By API & SDKs (2024-2032) ($MN)
- Table 15 Global Generative AI for Content Creation Market Outlook, By Cloud-based Solutions (2024-2032) ($MN)
- Table 16 Global Generative AI for Content Creation Market Outlook, By Services (2024-2032) ($MN)
- Table 17 Global Generative AI for Content Creation Market Outlook, By Consulting Services (2024-2032) ($MN)
- Table 18 Global Generative AI for Content Creation Market Outlook, By Implementation & Integration Services (2024-2032) ($MN)
- Table 19 Global Generative AI for Content Creation Market Outlook, By Training & Support Services (2024-2032) ($MN)
- Table 20 Global Generative AI for Content Creation Market Outlook, By Deployment Mode (2024-2032) ($MN)
- Table 21 Global Generative AI for Content Creation Market Outlook, By Cloud-based (2024-2032) ($MN)
- Table 22 Global Generative AI for Content Creation Market Outlook, By On-premises (2024-2032) ($MN)
- Table 23 Global Generative AI for Content Creation Market Outlook, By Application (2024-2032) ($MN)
- Table 24 Global Generative AI for Content Creation Market Outlook, By Marketing & Advertising (2024-2032) ($MN)
- Table 25 Global Generative AI for Content Creation Market Outlook, By Media & Entertainment (2024-2032) ($MN)
- Table 26 Global Generative AI for Content Creation Market Outlook, By Gaming (2024-2032) ($MN)
- Table 27 Global Generative AI for Content Creation Market Outlook, By E-commerce & Retail (2024-2032) ($MN)
- Table 28 Global Generative AI for Content Creation Market Outlook, By Education & E-Learning (2024-2032) ($MN)
- Table 29 Global Generative AI for Content Creation Market Outlook, By Healthcare (2024-2032) ($MN)
- Table 30 Global Generative AI for Content Creation Market Outlook, By IT Services (2024-2032) ($MN)
- Table 31 Global Generative AI for Content Creation Market Outlook, By Software Development (2024-2032) ($MN)
- Table 32 Global Generative AI for Content Creation Market Outlook, By Other Applications (2024-2032) ($MN)
- Table 33 Global Generative AI for Content Creation Market Outlook, By End User (2024-2032) ($MN)
- Table 34 Global Generative AI for Content Creation Market Outlook, By Enterprises (2024-2032) ($MN)
- Table 35 Global Generative AI for Content Creation Market Outlook, By Small & Medium-sized Businesses (SMBs) (2024-2032) ($MN)
- Table 36 Global Generative AI for Content Creation Market Outlook, By Individual Creators & Freelancers (2024-2032) ($MN)
- Table 37 Global Generative AI for Content Creation Market Outlook, By Agencies (2024-2032) ($MN)
- Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
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