GenAI Statistics By Function, Market Share, Usage and Facts

Introduction

GenAI Statistics: The world is rapidly changing because of technology. Now, technology is not just limited to smartphones; whatever fictional stories we used to see and hear in movies are coming to reality. Artificial intelligence is supporting such developments. After the launch of ChatGPT, real AI-based tools opened their doors to the public. Generative AI helps generate images or videos from text, script, etc. Video editing is also possible even for non-video editors.

These GenAI Statistics provide recent insights into the world we are currently living in.  Let’s understand this GenAI by numbers. 

Editor’s Choice

• According to Forbes, compared to women users, men are two times more likely to use GenAI tools.
• Careers that are estimated to be replaced by AI and machine learning by 2027 include security guards, administrative and executive secretaries, accounting, bookkeeping, and payroll clerks, cashiers & ticket clerks, building caretakers and housekeepers, postal service clerks, and assembly and factory workers. 
• ChatGPT was the most popular user text generation AI tool, with 72% of the world’s market share.
• Different kinds of Generative AI tools are primarily popular in Gen Z, as 70% of them have already used such tools. 
• Programmers who use GenAI are 88% more likely to be productive than those who don’t use it.
• In 2024, 48% of organizations are expected to be transformed by GenAI within one to three years.
• By 2026, GenAI Statistics estimates that 90% of the content on the internet will come from GenAI. 
• In 2023, in the image generation AI tools category, Midjourney captured the highest global market share, representing 53%, followed by DALL-E 27% and Adobe Firefly 8%.
• According to a survey by Statista, only 8% of companies worldwide are very highly prepared for the adoption of GenAI. 
• By 2025, GenAI Statistics by industry automation rate show that the banking sector has the highest automation rate, at 54%.

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General GenAI Statistics

• By 2025, GenAI is expected to create 85 million jobs worldwide.
• Global spending on GenAI is estimated to reach USD 110 billion in 2024.
• GenAI-based searches cost 10 times more than regular keyword searches.
• According to McKinsey, 61% of workers are currently planning or using generative AI.
• Programmers who use GenAI are 88% more likely to be productive than those who do not use it.
• Careers estimated to be replaced by AI and machine learning by 2027 include security guards; administrative and executive secretaries; accounting, bookkeeping, and payroll clerks; cashiers and ticket clerks; building caretakers and housekeepers; postal service clerks; and assembly and factory workers.
• GenAI tools are primarily popular among Gen Z, with 70% having already used them.
• According to Forbes, men are two times more likely to use GenAI tools than women.
• By 2025, 95% of customer interactions are projected to be AI-based.
• In the customer service industry, 90% of leaders are likely to invest in GenAI technology by 2025.
• Cybersecurity is identified as the top barrier to GenAI adoption by 58% of companies.
• In the USA, GenaI deep fakes fraud increased by 1200% over the last four years.
• According to the AI Accelerator Institute, 2% of companies do not trust the output created by GenAI.
• A total of 68% of employees who use ChatGPT keep it hidden from their bosses.
• By 2026, 90% of the content on the internet is estimated to be generated by GenAI.
• According to the Cisco 2024 Data Privacy Benchmark Study, 27% of companies have temporarily banned the use of GenAI because of privacy and security concerns.

GenAI Market Size By Market.us

• The Global Generative AI Market is projected to reach USD 255.8 billion by 2033, growing at a CAGR of 34.2% from USD 13.5 billion in 2023.
• North America held a dominant market share of 42.1% in 2023, generating USD 5.6 billion in revenue.
• The software segment contributed 66.7% of the revenue in 2023, driven by increasing demand and advancements in generative AI models.
• Transformer technology accounted for 45.1% of the revenue share in 2023, with a projected CAGR of 32.2%, owing to its efficiency in language processing and image generation.
• Large language models dominate the generative AI model segment, while computer vision is anticipated to grow at the fastest rate, particularly in transportation and surveillance applications.
• The media & entertainment industry led generative AI adoption, capturing 24.3% of the market share, primarily for image and video creation.
• Natural Language Processing (NLP) remained the top application in 2023 and is expected to sustain its growth, while computer vision adoption is rising rapidly across industries.
• Generative AI is expected to boost the United States GDP by 21% by 2030.
• The banking industry is set to benefit from AI integration, with an estimated annual value addition of USD 200 billion to USD 340 billion, transforming operations, customer interactions, and risk management.
• Investor confidence in generative AI remains strong, with funding in generative AI startups reaching USD 6 billion in 2023.
• The number of downloads of generative AI tools surged to 10.1 million by mid-2023, compared to 1.1 million in 2022.
• Generative AI has the potential to increase US labor productivity by 0.5% to 0.9% annually through 2030.
• A study from leading institutions such as Harvard, Wharton, Warwick, and MIT Sloan found that generative AI can improve employee productivity by up to 40%.
• Microsoft launched Visual ChatGPT in March 2023, integrating various visual foundation models to enable image generation and editing through graphical interfaces.
• Over 75% of consumers are concerned about AI-driven misinformation.
• ChatGPT reached 1 million users within its first five days of launch.
• 64% of businesses believe AI will enhance productivity.
• 58% of companies in China are actively using AI, with another 30% considering its adoption. In contrast, 25% of US companies have implemented AI, while 43% are exploring its use.
• Generative AI adoption is highest in India (73%), followed by Australia (49%), the US (45%), and the UK (29%).
• Millennials and Gen Z users make up 65% of generative AI users, with 72% of them currently employed.
• Nearly 6 in 10 users feel they are close to mastering generative AI.
• 70% of Gen Z users report using AI, and 52% trust it to assist in making informed decisions.
• 52% of users report an increase in their generative AI usage over time.
• 75% of users seek to use generative AI for automating work-related tasks and communications.
• 38% of users engage with generative AI for fun or experimentation, while 34% use it for learning.
• Among marketers, the most common applications of generative AI include content creation (76%), creative inspiration (71%), market analysis (63%), and image asset generation (62%).

GenAI Market By Region

Worldwide

• According to GenAI Statistics 2024, in the current year, the worldwide market is estimated to reach $66.62 billion.
• In addition, between 2024 and 2030, it is expected to grow at a CAGR of 20.80%, reaching $207.00 billion by the forecast year.
• The global comparison shows that the United States of America is supposed to have the largest market size, contributing $23.20 billion in 2024.

Market Share Of User Text Generation AI Tools

(Source: statista.com)

• As per GenAI Statistics 2023, ChatGPT was the most popular user text generation AI tool, with 72% of the world’s market share.
• Furthermore, DeepL (16%), Google Bard, and QuillBot collectively captured 8% of the global market.
• Claude, Pleplexity AI, and You.com were other leading AI tools, with only 1% of the market share in a similar segment.

Market Share Of Image Generation AI Tools

(Source: statista.com)

• In 2023, In the image generation AI tools category, Midjourney captured the highest global market share, representing 53%, followed by DALL-E at 27% and Adobe Firefly at 8%.
• Runway and Starryai were other leading AI tools by image generation category, with 8% and 3% share, respectively.

Americas

• As of 2024, the American GenAI market is estimated to be valued at $27.31 billion.
• It is expected to reach $78.62 billion by 2030, growing at an annual rate of 19.27%.

Africa

• In 2024, the African GenAI market is expected to reach $1.51 billion.
• Between 2024 and 2030, it will grow at an annual growth rate of 22.85%, resulting in $5.19 billion by the forecast year.

Australia And Oceania

• The Australian and Oceania market is projected to reach $1.76 billion in 2024.
• Furthermore, between 2024 and 2030, it is expected to grow at a CAGR of 20.80%, reaching $5.47 billion by 2030.

Asia

• The Asian GenAI market is estimated to grow at a CAGR of 22.65% between 2024 and 2030, reaching $60.83 billion by the forecast period.
• In 2024, the market is expected to reach $17.87 billion.

Europe

• GenAI Statistics show that in 2024, the European market is expected to reach $18.17 billion.
• Furthermore, it will grow at an annual rate of 20.94% by 2030, reaching $56.85 billion.

Generative AI Adoption In Global Companies

(Reference: statista.com)

• Most of the professionals who use GenAI work in cybersecurity or IT companies, representing 46% of the workforce.
• Marketing, Sales, and Customer service and product development, research & development followed by 41% each. 
• Other functions include Strategy and Operations, Supply Chain or manufacturing, Finance, Human resources, Legal, risk, and compliance.

Salesforce’s Survey on Generative AI Usage

• 73% of the Indian population surveyed is using generative AI.
• 49% of the Australian population surveyed is using generative AI.
• 45% of the US population surveyed is using generative AI.
• 29% of the UK population surveyed is using generative AI.
• 65% of generative AI users are Millennials or Gen Z.
• 72% of generative AI users are employed.
• 70% of Gen Z report using generative AI.
• 52% of Gen Z trust generative AI to help them make informed decisions.
• 75% of generative AI users are looking to automate tasks at work and use it for work communications.
• 52% of generative AI users say they use it more now than when they first started.
• 38% of generative AI users use it for fun or entertainment.
• 34% of generative AI users use it for learning about topics of interest.
• 68% of non-users are Gen X or Baby Boomers.
• 88% of non-users are unclear about how generative AI will impact their lives.
• 40% of non-users say they are not familiar enough with the technology.
• 32% of non-users say generative AI is not useful for them.
• 70% of non-users would use generative AI more if they knew more about it.
• 64% of non-users would use generative AI more if it was safer and more secure.
• 45% of non-users would use generative AI more if it was integrated into the technology they already use.

Impact Timeframe Of Generative AI On Organizations

(Reference: statista.com)

• In 2024, 48% of organizations are expected to be transformed by GenAI within one to three years.
• At least 20% of companies need more than three years for this.
• On the other hand, the shortest recorded time is now for 14% of companies worldwide. 

Preparedness Level For The Adoption Of Generative AI

(Reference: statista.com)

• According to a survey by Statista, only 8% of companies worldwide are very highly prepared for the adoption of GenAI.
• On the other hand, 5% are not at all prepared. 26% of worldwide companies reported to be highly prepared for the same.
• Overall, GenAI Statistics show that companies are on the verge of developing with the support of Generative AI.

High Potential Industries For Automation By 2025

(Source: explodingtopics.com)

• By 2025, GenAI Statistics by industry automation rate show that the banking sector has the highest automation rate, at 54%.
• The insurance and energy industries account for 48% and 43%, respectively.
• Capital markets account for 40% of the total, retail 34%, and communications and media industries also have the highest automation rate.

GenAI Adoption Across Industries

1. Finance & Banking

• 77% of executives believe AI is critical to their success.
• 80% of CFOs plan to expand tech spending in the next two years.
• 72% of CEOs consider AI funding a top priority.
• 80% of financial organizations use AI for virtual assistants, 78% for financial document searches, 76% for personalized recommendations, and 72% for capital market analysis.
• 48.2% of industry leaders invest in AI research, while 44.8% have already implemented smart solutions.
• Two-thirds of C-level executives expect a 10-30% revenue increase over the next three years.
• 40% of individuals use AI as a financial management tool, with one-third trusting it more than humans for asset management.
• AI could boost productivity by 2.8-4.7%, adding USD 200 billion to USD 340 billion in revenue.
• Front-office employee efficiency is projected to increase by 27-35% by 2026, potentially generating an additional USD 3.5 million per worker.

2. Healthcare

• 20% of medical organizations globally have deployed AI in production.
• 98% of institutions have or plan to develop an AI strategy.
• 72% of healthcare executives trust AI to automate administrative processes.
• Key AI applications in healthcare include charge capture and reconciliation (39%), structuring and analyzing patient data (37%), and workflow automation (36%).
• Long-term priorities include predictive analytics (44%), clinical decision support tools (41%), and diagnostics (37%).
• Challenges in AI adoption: lack of resources (46%), lack of expertise (46%), and regulatory hurdles (33%).
• 95% of healthcare professionals developed a more positive attitude toward AI after evaluating AI-driven medical advice.
• 80% of Americans believe AI can improve care quality, reduce costs, and increase service access.
• 25% of people would prefer engaging with a chatbot over visiting a therapist.
• 25% of Americans would avoid providers who refuse to implement AI.

3. Retail & eCommerce

• 60% of retailers plan to adopt AI next year to enhance in-store and online experiences.
• AI adoption priorities: improving customer journeys (59%), enhancing performance (49%), and increasing cost efficiency/ROI (44%).
• AI features for retail personalization: live search (42%), automated product recommendations (35.7%), and virtual try-ons (32.6%).
• AI applications in retail: personalized suggestions (66%), trend analysis & inventory management (64%), automatic product description generation (53%), virtual try-ons (28%), and faster design & development (21%).
• 17% of shoppers have used AI for purchasing inspiration, while 45% are interested in AI-assisted shopping.
• 92% of retailers are increasing AI investments, with 59% already using AI for personalized recommendations.
• AI could boost retail sector productivity by 2% of annual revenue, contributing USD 400 billion to USD 660 billion.
• 46% of companies use AI to control costs.
• 83% of eCommerce organizations see chatbots as the top AI application, with 80% currently using or planning to implement AI bots.
• AI-driven conversational agents have an 85% open rate and a 40% CTR.
• AI in eCommerce is projected to reach USD 2.1 billion by 2032, with a 14.9% annual growth rate.
• 69% of customers are open to AI for enhanced shopping experiences.

4. Pharmaceutical Industry

• AI reduces drug molecular design time by 25%.
• Automating medical document creation cuts writing time by 30%.
• Routine task performance improves by 20-30%.
• AI-driven content creation and personalization increase revenue by 10% and lower external costs by over 25%.
• AI boosts productivity in high-frequency tasks by up to 40%.

Notable AI achievements:

• • DiffDock: Achieved a 38% success rate in molecular docking predictions.
  • Insilico Medicine: Developed a drug candidate at 1/10 the usual cost and in 1/3 of the time.
  • Recursion: Predicted targets for 36 billion compounds in one week instead of 100,000 years.
  • Sanofi: Improved drug discovery efficiency by 20-30% in immunology, oncology, and neurology.

5. Automotive Industry

• The Generative AI market, valued at USD 312.46 million in 2022, is expected to grow to USD 2.69 billion by 2032.
• AI is predicted to generate USD 300 billion annually for the industry by 2035.
• 71% of organizations currently utilize AI, with an additional 22% planning implementation within a year.
• AI has reduced development timelines for automobile parts by 10-20%.
• 66% of executives believe AI benefits outweigh risks, and 30% of firms have dedicated AI teams.
• 50% of drivers are interested in adding AI to in-car voice assistants, rising to 75% among frequent users.

6. Insurance Industry

• 59% of insurance organizations have implemented AI.
• AI-driven improvements: staff efficiency (61%), customer service (48%), cost savings (56%), and business growth (48%).
• 47% of UK consumers and 55% of US consumers have a favorable view of AI in insurance.
• 44% of customers prefer chatbots for claims, and 43% for coverage applications.
• Adoption barriers: staff training (47%) and costs (35%).
• Key AI functions: marketing & claims (54%), administration (47%), underwriting (46%), and insured onboarding (43%).
• AI could improve support agent productivity by 40-60%, reducing 35% of time spent retrieving information.
• AI-driven documentation streamlining could improve efficiency by 20-30%.

7. Law Industry

• 73% of lawyers expect to integrate AI into their work this year.
• 43% of legal professionals see AI as an opportunity, while 25% view it as a potential threat.
• 75% of law firms and departments plan to increase AI investments.
• 87% of attorneys report AI significantly improves daily processes.
• 44% of legal tasks could be automated by AI.
• 85% of law agencies and 84% of legal units plan to expand AI usage.

8. Travel & Hospitality

• AI influences 30% of service professionals in the sector.
• AI is projected to impact 32% of hospitality revenues by 2024.
• The AI market in hospitality, valued at USD 632.18 million, is expected to grow to USD 3.58 billion by 2032.
• 79% of the industry adopts AI for customer experience, 67% for process optimization, and 48% for content generation.
• AI integration improves operational efficiency by 20-40% and boosts revenue by 5-20%.
• 81% of hospitality leaders see AI benefits, with 52% prioritizing its development.
• 95% of executives are confident AI will enhance guest experiences.
• 72% of executives are concerned about privacy, and 49% fear AI may erode human interaction.

9. Telecom Industry

• 70% of communication service providers recognize AI’s unique value.
• 64% of telecom firms view AI use cases as net-new rather than replacements for existing solutions.
• AI adoption rates for tested scenarios are at 19%, expected to rise to 48% within two years.
• 63% of telecom providers use AI-driven customer chatbots.
• Key drivers for AI adoption: increased efficiency & productivity (41%), cost savings (20%), and competitive advantage (18%).

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Worldwide Use Of Gen AI

(Reference: statista.com)

• Most of the people in 2023 have not used any Generative AI tool, contributing 47% while 39% used it.
• 15% of the respondents needed clarification about the usage. 

Global Top AI and GenAI Applications in Companies

(Reference: statista.com)

• GenAI Statistics 2023 shows that, around the world, employee training and collaboration was the top relevant AI and GenAI application by type, with 36% of respondents to the survey by Statista.
• Other areas include customer sales, service and support, software development and testing, product and service design, supply chain management and orchestration, etc.

Adoption of Generative AI Among Desk Workers

• 61% of workers currently use or plan to use generative AI.
• 68% believe generative AI will help them better serve their customers.
• 67% say generative AI will enhance other technology investments, such as AI and machine-learning models.
• 73% of respondents think generative AI introduces new security risks.
• 59% worry that generative AI outputs may be biased.
• 54% are concerned about the accuracy of generative AI outputs.
• Nearly 60% of those planning to use generative AI do not know how to do so with trusted data sources while keeping sensitive data secure.
• Workers who trust AI are more than twice as likely to use generative AI at work.
• Employees who trust AI are four times more likely to understand how it is implemented, used, and governed within their organization.
• 49% of workers who trust AI believe they are responsible for building their own trust in generative AI.
• 83% of C-suite leaders claim to know how to use generative AI securely, compared to only 29% of individual contributors.
• Employees identified four key elements to successfully using generative AI in their roles: human oversight (60%), enhanced security measures (59%), trusted customer data (58%), and ethical use guidelines (58%).

How Generative AI is Transforming Sales Efficiency

• 61% of sales professionals believe generative AI will help them better serve customers.
• 61% of salespeople also think generative AI will enable them to sell more efficiently.
• 84% of sales professionals using generative AI reported increased sales due to enhanced and faster customer interactions.
• Only 33% of salespeople have adopted or plan to adopt generative AI, compared to 51% of marketers.
• 53% of sales professionals do not know how to maximize the value of generative AI at work.
• 49% of salespeople are unsure how to use generative AI safely.
• 47% of sales professionals do not know how to use generative AI effectively.
• 39% of salespeople worry about job loss if they do not learn to use generative AI.
• 82% of sales professionals use generative AI for basic content creation.
• 74% of salespeople use it for analyzing market data.
• 71% of sales professionals leverage generative AI for automating personalized sales communications.
• 51% of salespeople expect generative AI to help generate sales reports.
• 48% believe it will assist in basic content creation.
• 47% think it will improve market data analysis.

Conclusion

The number of YouTubers has increased since the launch of AI-based video creation. AI video-making tools such as inVideo allow users to create cinematic videos using whatever text we provide. GenAI is extremely useful in almost all industries. However, it poses a great risk to manual jobs, which are projected to vanish in the coming years. Such employment is said to be replaced by robots.

The option to save the job is to upskill the knowledge of recent technology simply. GenAI Statistics projects advantages and disadvantages, but in the coming years, we will definitely overcome the loopholes and make use of such technology to the fullest.