GenAI Statistics By Region, Function, Market Share And Worldwide Use Of Gen AI

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. 

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• 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 Statistics show that this technology is expected to create 85 million jobs worldwide. 
• 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. 
• According to a report by McKinsey, 61% of workers are currently planning or using generative AI.
• GenAI Statistics show that programmers who use GenAI are 88% more likely to be productive than those who don’t use it.
• Different kinds of Generative AI tools are primarily popular in Gen Z, as 70% of them have already used such tools. 
• According to Forbes, compared to women users, men are two times more likely to use GenAI tools.
• By 2025, 95% of the customer interactions are projected to be AI-based.
• In addition, 9 out of 10 leaders in the customer service industry are likely to invest in GenAI technology by 2025.
• GenAI Statistics estimates that global spending is expected to reach $110 billion in 2024.
• 58% of the companies believe that cybersecurity is the top barrier to GenAI adoption. 
• GenAI-based searches are ten times more costly than regular keyword searches.
• Over the last four years, in the USA, the GenaI deep fakes fraud increased by 1200%.
• According to the AI Accelerator Institute, 2% of companies do not trust the output created by Gen AI.
• 68% of employees who use ChatGPT keep it hidden from their bosses.
• By 2026, GenAI Statistics estimates that 90% of the content on the internet will come from GenAI. 
• According to the Cisco 2024 Data Privacy Benchmark Study,27% of companies have temporarily banned the use of Gen AI because of privacy and security concerns.

Generative AI 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.

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.

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.

The Symphony Of Creativity And Efficiency: Generative AI’s Impact Across Industries

The human mind is a marvel of creativity, constantly churning out new ideas, stories, and inventions. But what if there was a way to amplify this creativity, to have a tireless partner that could not only analyze information but also create entirely new things? This is the exciting promise of Generative AI, a rapidly evolving field of artificial intelligence that’s poised to revolutionize the way we work, play, and even heal.

Beyond Imitation: A Wellspring of Originality

Unlike traditional AI, which focuses on analyzing existing data, Generative AI takes a different approach. It learns the underlying patterns and relationships within data sets and then uses that knowledge to generate entirely new content. This opens up a world of possibilities, from crafting compelling novels to composing stirring symphonies, all with the help of a powerful AI assistant.

The Writer’s Muse And The Artist’s Brush:

Imagine a writer facing writer’s block. A Generative AI tool wouldn’t just offer synonyms or grammar checks; it could suggest creative solutions and even generate entire paragraphs that seamlessly fit the existing style and tone. Artists could use Generative AI to brainstorm new ideas, explore variations on existing concepts, or create unique textures and patterns that would be impossible to achieve with traditional techniques. This doesn’t mean AI will replace artists; instead, it becomes a powerful tool that can enhance the creative process and push boundaries.

Efficiency Unleashed: Boosting Productivity Across Fields

Generative AI’s potential goes far beyond the realm of artistic expression. Its ability to learn and generate can be harnessed to boost efficiency across various industries. Here are some examples:

• Drug Discovery: The process of finding new life-saving medications is often slow and expensive. Generative AI could accelerate this process by designing new molecules with specific properties that target diseases. Imagine an AI that can analyze vast amounts of biological data and predict how different molecular structures might interact with a specific disease target. This could significantly reduce the time and resources needed to bring new drugs to market.
• Materials Science: Generative AI could be used to design entirely new materials with desired characteristics. For instance, an AI could design a new material for airplane wings that’s lighter yet stronger, leading to more fuel-efficient aircraft. The possibilities are endless, from creating new solar cell materials with higher efficiency to developing self-healing polymers for construction.

Personalized Experiences: Tailoring The World To You

Generative AI holds immense potential for creating personalized experiences. Imagine shopping online and seeing a virtual model wearing clothes that perfectly match your body type. This level of personalization could revolutionize e-commerce, leading to increased customer satisfaction and sales. Similarly, imagine streaming services that curate shows and movies based on your tastes, learning your preferences and suggesting content you’ll truly enjoy.

The possibilities extend to the education sector as well; AI-powered tutors could personalize learning plans based on a student’s strengths and weaknesses, creating a more effective and engaging learning experience.

A Look At Industries Transformed:

Let’s delve deeper into how Generative AI might reshape specific industries:

• Healthcare: Generative AI could analyze medical images for faster and more accurate diagnoses, potentially leading to earlier interventions and better patient outcomes. Furthermore, by analyzing a patient’s specific medical history and genetic makeup, AI could personalize treatment plans, leading to more effective therapies.
• Manufacturing: The world of manufacturing could see a significant boost in efficiency and productivity. Generative AI could be used to optimize production lines, reduce waste, and streamline processes. Additionally, AI could design new products with features and functionalities that perfectly meet market demands.
• Entertainment: Generative AI could fuel a new era of personalized entertainment. Video games could dynamically adjust difficulty and storylines based on your playing style, creating a truly immersive experience. Imagine a world where music streaming services can create custom playlists that blend seamlessly with your mood and preferences.
• Customer Service: Long gone might be the days of frustrating phone calls and endless hold times. Generative AI could create sophisticated chatbots that can answer complex questions, resolve customer issues efficiently, and even provide personalized recommendations.

Challenges And Considerations: Navigating The Ethical Landscape

While the potential benefits of Generative AI are vast, it’s important to acknowledge the challenges that come with this powerful technology. One major concern is the potential for bias in AI algorithms. These biases can be present in the data used to train the AI, leading to discriminatory practices. For example, an AI-powered hiring tool might unintentionally favor candidates from a certain demographic based on the data it’s been trained on.

Another challenge is the potential for misuse of AI-generated content. Deepfakes, for instance, are realistic-looking videos that can be manipulated to make it seem like someone said or did something they never did. This highlights the need for robust ethical frameworks to guide the development and use of Generative AI. These frameworks should ensure transparency in AI algorithms, mitigate bias, and promote responsible use of AI-generated content.

Collaboration Is Key: Humans And AI, A Powerful Partnership

Generative AI isn’t meant to replace human creativity or ingenuity. Instead, it’s a powerful tool that can augment human capabilities. Imagine an artist using Generative AI to create a new color palette and then using that palette to paint a masterpiece. Similarly, a scientist could use AI to design a new experiment and then use the results of that experiment to make a groundbreaking discovery.

The key lies in fostering a collaborative relationship between humans and AI. Humans bring their creativity, critical thinking, and ethical considerations to the table, while AI provides its vast processing power and ability to generate new possibilities.

The Future Beckons: A Brighter Tomorrow Powered By AI

The field of Generative AI is still in its early stages, but the potential for positive impact is undeniable. As the technology continues to evolve, we can expect to see even more innovative applications emerge across various industries. From revolutionizing healthcare and manufacturing to creating personalized experiences in entertainment and education, Generative AI has the potential to shape a brighter future for all.

However, navigating this future responsibly is crucial. By acknowledging the challenges, establishing ethical frameworks, and fostering a human-centric approach to AI development, we can ensure that Generative AI becomes a force for good, empowering humans to achieve more and create a world that is not only more efficient but also more creative and fulfilling.

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.