This research article delves into Artificial Intelligence (AI) growth, market size, key players, customer demography, global presence and more.
Let’s go.
Key Data: Must-know facts
- The global AI market size in 2023 is $207 billion.
- Baidu is the largest AI patent holder worldwide.
- AI startup funding worldwide in Q2 2022 was $12.1 billion.
- Global corporate AI investment is $91.9 billion.
- Equity funding of AI healthcare deals is $4.34 billion.
- The United States is the region with the most private investments in AI.
- Intel Capital is the investor with the most AI investments.
- The service segment revenue of the global AI market is $19.7 billion.
- AI business operations’ global revenue in 2023 is $10.8 billion.
- The fashion AI market value in 2022 is $861.6 million.
- ByteDance is the most valued AI unicorn startup worldwide.
- The financial services AI adoption rate in operations is 24%.
- Inspur is the leading AI server vendor worldwide.
- The biggest AI use case in pharma/healthcare is for quality control.
- The biggest AI use case in IT/telecommunications is for cybersecurity.
The most in-depth report: AI Industry
A. Market Size
The AI industry market is projected to grow from nearly $100 billion in 2021 to around $1.85 trillion by 2030, with significant growth expected each year.
| Year | AI Industry Market SIze |
|---|---|
| 2030 | $1.85 trillion |
| 2029 | $1.4 trillion |
| 2028 | $1.1 trillion |
| 2027 | $795.38 billion |
| 2026 | $582.95 billion |
| 2025 | $420.47 billion |
| 2024 | $298.25 billion |
| 2023 | $207.9 billion |
| 2022 | $142.32 billion |
| 2021 | $95.6 billion |
Source: Statista
1. Chatbots
The AI chatbot market is projected to grow from $190.8 million in 2016 to $1.25 billion in 2025.
| Year | AI Chatbots Market Size |
|---|---|
| 2025 | $1.25 billion |
| 2016 | $190.8 million |
Source: Statista
2. AI-Driven Robots
The AI-driven robots market is projected to grow from $6.87 billion in 2021 to $77.7 billion in 2030, with a tenfold increase expected over the next decade.
| Year | AI-Driven Robots Market Size |
|---|---|
| 2030 | $77.7 billion |
| 2029 | $63.87 billion |
| 2028 | $51.21 billion |
| 2027 | $40.17 billion |
| 2026 | $30.89 billion |
| 2025 | $23.35 billion |
| 2024 | $17.4 billion |
| 2023 | $12.83 billion |
| 2022 | $9.39 billion |
| 2021 | $6.87 billion |
Source: Statista
B. Industry Revenue
The global AI software market is projected to reach $70.94 billion in 2023 and is forecast to grow rapidly, reaching $126 billion by 2025.
| Yaer | AI Industry Market Revenue |
|---|---|
| 2025 | $126 billion |
| 2024 | $94.41 billion |
| 2023 | $70.94 billion |
| 2022 | $51.27 billion |
| 2021 | $34.87 billion |
| 2020 | $22.59 billion |
| 2019 | $14.69 billion |
| 2018 | $10.1 billion |
Source: Statista
C. Industry Investments
Global corporate investment in artificial intelligence (AI) reached almost $92 billion in 2022, showing consistent growth since 2016.
| Year | Investment In AI |
|---|---|
| 2022 | $91.9 billion |
| 2021 | $93.5 billion |
| 2020 | $67.85 billion |
| 2019 | $48.85 billion |
| 2018 | $43.81 billion |
| 2017 | $44.08 billion |
| 2016 | $17.7 billion |
| 2015 | $12.75 billion |
Source: Statista
D. AI Startup Funding
In recent years, AI startup funding has seen significant growth, with investments reaching billions of dollars annually.
| Year | AI Startup Funding |
|---|---|
| 2023 | $5.4 billion |
| 2022 | $46.2 billion |
| 2021 | $72.1 billion |
| 2020 | $32.2 billion |
Source: Statista
D. Changes: AI Investments
Most business leaders expect significant growth in Artificial Intelligence (AI) investments, with 76% planning to increase their investment, 20% expecting it to stay the same.
Only 3% considering a decrease.
| Characteristic | Distribution |
|---|---|
| Increase somewhat / significant investment | 76% |
| Stay mostly the same | 20% |
| Decrease somewhat / significant devestment | 3% |
| Unsure / NA | 1% |
Source: Statista
How important AI is to businesses
AI is considered crucial for the success of businesses, with 94% of respondents stating its importance.
| AI Importance To Businesses | Share of Respondents |
|---|---|
| Very important/important | 94% |
| Somewhat important | 5% |
| Not important at all | 1% |
Source: Statista
A. Adoption Rate
The AI adoption rate in businesses grew significantly from 2017 to 2022, reaching 50% in 2022, compared to 20% in 2017.
| Year | AI Adoption Rate In Businesses |
|---|---|
| 2022 | 50% |
| 2021 | 56% |
| 2020 | 50% |
| 2019 | 58% |
| 2018 | 47% |
| 2017 | 20% |
Source: Statista
1. AI Capability Adaption Rate
The AI capability adaption rates in businesses vary across different fields, with robotic process automation having the highest rate at 39%.
| AI Capability In Businesses | AI Capability Adaption Rate |
|---|---|
| Robotic process automation | 39% |
| Computer vision | 34% |
| Natural-language text understanding | 33% |
| Virtual agents or conversational interfaces | 33% |
| Deep learning | 30% |
| Knowledge graphs | 25% |
| Recommender systems | 25% |
| Digital twins | 24% |
| Natural language speech understanding | 23% |
| Physical robotics | 20% |
| Reinforcement learning | 20% |
| Facial recognition | 18% |
| Natural language generation | 18% |
| Transfer learning | 16% |
| Generative adverserial networks (GAN) | 11% |
| Transformers | 11% |
Source: Statista
2. By Industry & Function
AI adoption rates vary across industries and functions, with service operations and corporate finance having the highest usage at over 20%.
Financial services lead in AI usage for product making at over 30%.
| Industry & Function | Human resources | Manufacturing | Marketing & Sales | Product/service development | Risk | Service operations | Strategy & corporate finance | Supply chain management |
|---|---|---|---|---|---|---|---|---|
| All industries | 11% | 8% | 5% | 10% | 19% | 19% | 21% | 9% |
| Business, legal, and professional services | 11% | 10% | 9% | 8% | 16% | 20% | 19% | 12% |
| Consumer goods/retail | 14% | 4% | 3% | 4% | 15% | 31% | 29% | 11% |
| Financial services | 1% | 8% | 7% | 31% | 17% | 24% | 23% | 2% |
| Healthcare/Pharma | 15% | 7% | 2% | 4% | 22% | 12% | 8% | 8% |
| High-tech/telecom | 6% | 6% | 4% | 7% | 38% | 21% | 25% | 8% |
Source: Statista
B. Companies With The Most AI & ML Patent
Baidu leads with 13,993 AI & ML patent families, followed by Tencent with 13,187 and IBM with 9,500.
| Company | 2022 | 2021 | 2020 | 2019 | 2018 |
|---|---|---|---|---|---|
| Baidu | 13,993 | 9,869 | 5,885 | 3,633 | 2,176 |
| Tencent | 13,187 | 10,218 | 6,921 | 3,639 | 1,550 |
| State Grid Corp | 11,555 | 8,242 | 5,667 | 3,795 | 2,442 |
| Chinese Academy of Sciences | 9,909 | 7,661 | 5,660 | 4,120 | 2,886 |
| IBM | 9,497 | 8,050 | 6,566 | 4,865 | 3,806 |
| Ping An Insurance | 9,142 | 6,714 | 4,207 | 2,531 | 534 |
| Samsung | 8,690 | 6,862 | 5,879 | 4,985 | 4,322 |
| Huawei | 6,510 | 4,164 | 2,512 | 1,564 | 924 |
| Microsoft | 6,356 | 6,048 | 5,740 | 5,347 | 4,865 |
| Alibaba Group | 5,429 | 4,060 | 3,022 | 2,287 | 1,107 |
Source: Statista
C. AI Implementation Plans In Organizations
Leaders in organizations are adopting AI systems and programs more than others in 2022, with 36% having fully enabled/widespread adoption, 35% having limited use cases, 14% having promising proof of concept/looking to scale, and 10% having tested proof of concepts with limited success.
| Implementation | Leaders | Others |
|---|---|---|
| Processes fully enabled / widespread adoption | 36% | 20% |
| Limited AI use cases | 35% | 25% |
| Promising proof of concept / looking to scale | 14% | 20% |
| Tested proof of concepts with limited success | 10% | 23% |
| Not yet using but considering | 4% | 12% |
Source: Statista
D. AI Impact On Life
According to a 2022 survey in the United States, 31% of respondents aged 30-44 believed that artificial intelligence would make their lives much easier.
| AI Impact on Life | Age 18-29 | Age 30-44 | Age 45-64 | Age 65+ | Total |
|---|---|---|---|---|---|
| Much easier | 22% | 31% | 6% | 5% | 16% |
| Somewhat easier | 27% | 26% | 21% | 19% | 23% |
| Neither easier nor harder | 24% | 18% | 29% | 33% | 26% |
| Somewhat harder | 7% | 6% | 5% | 4% | 6% |
| Much harder | 4% | 3% | 5% | 2% | 4% |
| Not sure | 17% | 17% | 33% | 36% | 26% |
Source: Statista
E. AI Impact On Jobs
According to a 2022 survey in the United States, 18% of respondents believed that artificial intelligence will result in many fewer jobs, while 25% of respondents aged 30-44 thought that AI will create many more jobs.
| AI Impact on Jobs | Age 18-29 | Age 30-44 | Age 45-64 | 65+ | Total |
|---|---|---|---|---|---|
| Many more jobs | 17% | 25% | 3% | 3% | 12% |
| Somewhat more jobs | 19% | 20% | 8% | 8% | 13% |
| Neither more nor fewer jobs | 24% | 18% | 14% | 17% | 18% |
| Somewhat fewer jobs | 16% | 12% | 23% | 26% | 19% |
| Many fewer jobs | 9% | 9% | 29% | 19% | 18% |
| Not sure | 15% | 16% | 23% | 27% | 20% |
Source: Statista
D. AI Impact On Labor In Organizations
AI is widely used in 2022 to enhance hiring and reduce redundancy. Leaders with comprehensive AI adoption outperform others in terms of implementation, with 42% having implemented AI compared to 30% of others.
| AI Impact On Labor In Organizations | Leaders | Others |
|---|---|---|
| Have implemented | 42% | 30% |
| Have a plan and started to implement | 35% | 37% |
| Developing a plan | 16% | 25% |
| Do not plan to do this | 4% | 6% |
| Not sure | 2% | 1% |
Source: Statista
FAQ: Most common AI-related questions
A. What does AI mean?
AI stands for Artificial Intelligence.
It is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.
B. What is an example of Artificial intelligence?
An example of AI is virtual personal assistants like Siri, Alexa, or Google Assistant.
These AI-driven assistants use natural language processing and machine learning to understand and respond to voice commands and text queries.
- They can answer questions, set reminders, give weather updates, control smart home devices, and more.
- Virtual personal assistants are a common application of AI that people interact with daily….
- Showcasing the technology’s ability to understand human language and assist with tasks.
C. Who is the founder of AI?
John McCarthy is considered the father of artificial intelligence (AI).
- He coined the term “artificial intelligence” in 1956 and was a founder of the Dartmouth Summer Research Project on AI, the birthplace of AI.
- McCarthy made significant contributions to AI research in logic programming, natural language processing, and machine learning.
Other notable pioneers in AI include: Alan Turing, Marvin Minsky, Allen Newell, Herbert A. Simon, Warren McCulloch, Walter Pitts, Frank Rosenblatt, Arthur Samuel, Ray Solomonoff, John Nashand Noam Chomsky.
They laid the foundation for modern AI research.
D. What are the 4 types of AI?
There are 4 main types of AI: reactive, limited memory, theory of mind, and self-aware.
- Reactive machines can only respond to stimuli in the present moment and cannot learn from their experiences. Examples include thermostats and vending machines.
- Limited memory machines can store and use past information to make decisions. Examples include chess-playing computers and spam filters.
- Theory of mind machines can understand and model the thoughts and feelings of other agents. Examples are still under development, but they could be used in social robots and customer service chatbots.
- Self-aware machines are aware of their own existence and can reason about their thoughts and actions. They are still hypothetical but are the subject of much AI research.
E. What type of AI is ChatGPT?
ChatGPT is a type of AI called a generative pre-trained transformer (GPT) model.
- GPT models are trained on massive datasets of text and code, which allows them to generate text, translate languages, and answer questions in an informative way.
- ChatGPT is a particularly advanced GPT model that is able to generate text that is more informative and comprehensive than previous models.
F. Which AI is the most used?
The most used AI is used in search engines to rank search results and provide relevant information to users.
Other commonly used AIs include recommendation systems, virtual assistants, fraud detection, medical diagnosis, and self-driving cars.
G. Which country uses AI the most?
The United States and China are the top two countries using AI the most.
Following are Japan, Germany, and the United Kingdom.
H. How to make money using AI?
- A freelance writer utilizes AI to generate ideas for blog posts and create initial drafts of articles.
- A small business owner employs AI to automate marketing through email and social media.
- A software developer creates and sells AI-powered tools designed to optimize marketing and sales campaigns for businesses.
- An investor supports AI startups that are developing innovative products and services.
- A content creator utilizes AI to produce images and videos for social media accounts.
Conclusion
This guide covered everything about the Artificial Intelligence industry’s statistics.
We hope you learned new things about AI.
Learn how to become more productive with our guides on how to use AI.
Thank you for reading this,
Ch David and Daniel
