275+ Remarkable AI Statistics and Trends

This is a complete and up-to-date list of AI statistics.

Here, you will find the most popular statistics surrounding the AI industry that include

  • AI Market Share
  • AI Adoption Statistics and Challenges
  • Usage of Artificial Intelligence
  • Customer’s Perspective On AI
  • AI Job Market
  • Industry-Specific Market Share
  • Trends In Artificial Intelligence
  • And Much More

So, let us take a look at this list without any further ado.

AI Statistics

AI and Machine Learning are no longer science fiction concepts, but terms that have been firmly planted in our current technology-driven society. Artificial Intelligence (AI) and Machine Learning (ML) continue to make substantial impacts on both the business world and everyday life.

From facial recognition technology to automated customer service bots, AI has become an increasingly mainstream part of our lives. This article takes a closer look at the latest AI statistics to help readers gain an understanding of the current state of AI, as well as what to expect in the near future. Some of the topics we’ll cover include:

  • What is the global market size for AI technologies?
  • How much investment is pouring into the development of AI technologies?
  • How big is the market share of Generative AI?
  • What exciting applications of AI have emerged in recent years?
  • How has AI changed the way we interact with technology?
  • What industries are most heavily investing in artificial intelligence research and development?
  • What are some of the ethical implications surrounding artificial intelligence?
  • How will artificial intelligence shape the future workplace?

These questions serve as a jumping-off point for exploring the many ways that artificial intelligence is transforming our world. With these figures, facts, and trends in AI, we can gain insight into how this emerging field could shape our future.

Artificial Industry Overview

Top AI Statistics (Editor's Pick)

  • The global AI market is worth an impressive $136 billion
  • The market size of the Artificial Intelligence industry is projected to grow by 120% year-over-year
  • A whopping 97 million jobs will be created in the AI space by 2025
  • 83% of companies all over the world prioritize AI within their business strategies
  • AI can boost labor productivity in business by 40%, or even more by 2035
  • The manufacturing industry is poised to record a gain of $3.78 trillion by 2035 thanks to AI
  • 73% of global consumers give AI a nod in business if capable of easing life
  • AI is said to add over $1 billion to the banking space by 2035
  • In the last decade, investment into AI startups has boomed – over triple what it was before. A whopping 57 out of YC’s 273 most recent companies are making waves with their progress on generative AI.

The AI Market Forecasts

The AI market is expected to experience a significant surge in the coming years, driven by technological advancements and increased deployment of AI-based solutions.

However, on a bigger scale, the market size of AI is difficult to determine as different companies define the scope of the market differently.

The Understanding...

  • Businesses worldwide should investigate the intricate details of AI market reports to gain an accurate grasp of their magnitude.
  • While some firms evaluate only income generated by AI businesses, others solely consider how every organization endures from artificial intelligence advancements.
  • It’s essential for enterprises to observe both perspectives in order to truly appreciate this revolutionizing resource.

Market Size

  1. As of the latest figures/current worth, the global AI market is worth an impressive $136 billion and is expected to skyrocket. Automation, data availability, and computing power have driven this growth (GrandViewResearch)
  2. By 2025, the estimated worth could be $190 billion (Markets and Markets)
  3. In 2025, global spending on cognitive and Artificial Intelligence systems is expected to reach $204 plus billion (IDC)
  4. The AI industry is expected to increase by more than 13 times in the next 7 years, and experts believe that this trend will continue for many years to come (GrandViewResearch)
  5. The AI market could further grow to a value of $15 trillion by 2030 (PwC)
  6. China is expected to account for about 26% of the total AI market share compared to a projected 2030s $15 trillion (PwC)
  7. According to IDC’s Worldwide Artificial Intelligence Spending Guide, global spending on AI was a whopping $55 billion in 2021 and is projected to keep rising (IDC)
  8. The AI industry is expected to generate a revenue of $119 billion each year by 2025 (Statista)
  9. According to data collected from different sources, 37% of businesses worldwide are using some form of artificial intelligence or machine learning technology in their operations today
  10. Demand for autonomous vehicles is set to reach 3195.5 thousand units by 2030. Market growth is projected at a CAGR of 53.6% from 2022 to 2030 (GrandViewResearch)
  11. Global AI software revenue is forecasted to reach nearly $100bn by 2025, with a growth of 34.9% CAGR from 2020-2025 (Omdia)

Key Takeaway

The global AI market is estimated to be worth $136 billion by 2025 and is expected to grow significantly in the coming years.

Global Annual Revenue Of The AI Software Market From 2018 To 2025
Year Revenue
2018 $10.1 billion
2019* $14.69 billion
2020* $22.59 billion
2021* $34.87 billion
2022* $51.27 billion
2023* $70.94 billion
2024* $94.41 billion
2025* $126 billion
*Projected figures

AI Adoption

AI Adoption2
  1. AI has experienced unprecedented growth and is set to expand rapidly, with a CAGR (Compound Annual Growth Rate) of 38.1% between 2022 and 2030.
  2. There has been an increase in trust among consumers and businesses for AI technology, with 43% of customers believing that businesses have taken necessary measures for privacy protection.
  3. China and India are leading the way in terms of adoption, with 60% of respondents indicating their use of AI technology (IBM)
  4. 25% of businesses have implemented some form of intelligent automation to fill positions that are increasingly difficult to source due to the lack of candidates (IBM)
AI Adoption
  1. 20% of firms are utilizing AI technology as part of their sustainability efforts; ensuring less energy consumption and reducing costs by optimizing processes across multiple sectors (IBM)
  2. Investment in AI startups has grown 6 times since 2000, with 14 times more startups entering the market than before (Forbes)
  3. Since 2015 there has been a 270% increase in businesses using AI services; 37% currently utilizing them. (Gartner)
  4. 83% of companies place Artificial Intelligence as a top priority within their business strategies (Forbes)
  5. The global wearable AI market is set to reach $180 billion by 2025, driven by demand for products such as the Apple Watch and Fitbit (GlobalMarketInsights)
  6. The US AI market size is projected to reach nearly $300 billion, with a Compound Annual Growth Rate (CAGR) of 40 (GrandViewResearch)
  7. 90% of top businesses have invested in AI (NewVantage)
  8. 8% of firms are investing more than $50 million in Big Data and AI initiatives, with nearly 100% of firms making an investment (Forbes)
  9. Only 51.9% of organizations are increasing their rate of investment, a significant decrease from 91.6% doing so in 2019 (Forbes)
  10. 6% of organizations have deployed AI capabilities into production and the percentage citing AI as the most disruptive technology has declined from 80% in 2019 to 69.5% (Forbes)
AI Adoption3
  1. 4% of firms cite big data adoption as an ongoing challenge (Forbes)
  2. 77% of consumers use an AI-powered service or device but only 33% realize it (Pega)
  3. Statistics have revealed that only 29% of businesses with less than 1000 employees asserted that they have adopted AI and machine learning technology (Forbes)
  4. 15% of enterprises are using AI, with 31% having it on the agenda for the next 12 months (Adobe)
  5. Top-performing companies are twice as likely to be using AI for marketing (28% vs. 12%, Adobe)
  6. 47% of digitally mature organizations have an AI strategy (Adobe)
  7. 72% of business leaders view AI as a business advantage (PwC), and 61% of those with an innovation strategy use it to identify data opportunities (Narrative Science)
  8. 61% of people believe AI will make the world a better place (Arm), and 61% of marketing professionals view machine learning/AI as the most significant data initiative for next year (MeMSQL)
  9. Businesses project labor productivity increases of up to 40%, and large companies are most likely to have an AI strategy (MIT Sloan Management Review)
  10. Marketing and sales teams value the inclusion of AI more than any other sector in corporate enterprises with an impressive 40% (Forbes)
  11. The demand for knowledgeable AI talent has effectively doubled in a short span of time with big tech and finance companies leading the way by immediately absorbing 60% of available talent (Forbes
AI Adoption4
  1. According to Forbes, 4/5 of companies consider AI a vital part of their business strategy.
  2. 83% of businesses prioritize Artificial Intelligence in their future planning and goal setting.

Key Takeaway

AI technology is experiencing unprecedented growth and will continue to grow at a high rate. Interestingly, 90% of leading businesses have already invested in AI.


Artificial Intelligence Usage Statistics

  1. Accenture research revealed that Artificial Intelligence (AI) implementation in businesses can lead to a 40% boost in productivity (Accenture)
  2. A survey showed that 41% of consumers believed AI would improve their lives (StrategyAnalytics)
  3. Global AI chip revenue is projected to exceed $80 billion by 2027 (The Insight Partners)
  4. The implementation of AI could lead to an economic boost of $14 trillion in additional gross value added (GVA) across 16 industries in 12 economies (Accenture)
  5. Automated emails and chatbots are two of the most popular applications of artificial intelligence (AI) in the business world.

Company Usage of AI:

AI UsagePercentage
Businesses that started implementing with limited AI use cases33%
Businesses that have processes that are fully enabled by AI25%
Have promising proofs of concepts and looking to scale sooner21%
Partial success win testing proof of concepts14%
Currently do not use AI, but willing to7%
  1. 80% of surveyed retail industry professionals expect their companies to have adopted AI automation by 2025 (AnalyticsInsights)
  2. Netflix’s highly personalized recommendation system, powered by AI, is worth $1 billion annually in its revenue
  3. AI technology is most prioritized for its use in marketing and sales departments at 40%
  4. China has made RandD investments in AI that could lead to a 26% economic growth over the next 10 years (McKinseyandCompany)
  5. The telecom industry has fully embraced AI with 52% of telephone companies now taking advantage of automation using chatbots (Gartner)
  6. By 2026, 10% of agent interactions will be automated versus 1.6% today using AI (Gartner)
  7. Over 3,600 AI startups across 70+ countries have raised $66B since 2013 (CB Insights)
  8. During Q2 of 2019, startup companies utilizing AI obtained more than $7.4 billion in funding (CB Insights)
  9. AI is most commonly used in predictive analytics (25%), machine learning (22%), natural language processing or generation (14%), voice recognition and response (14%), virtual personal assistants/chatbots (11%) and diagnosis/recommendation engines (11%) (Narrative Science)
  10. AI is employed in business intelligence (90%), finance (87%), compliance/risk (55%), product management (68%), marketing/sales (77%), and communications (43%) (Narrative Science)
  11. Roughly 59% of executives stand by the claim that new AI utilizes will bolster fine data recruiting within their conglomerates (PwC)
  12. 54% of executives echo confidence in AI’s ability to enhance worker productivity manifold (PwC)
  13. Executives are leveraging the power of Artificial Intelligence to take their products to an all-new level, with a whopping 51% aiming for enhanced functionalities, features, and performance (HarvardBusiness Review)
  14. 61% with an innovation strategy are using AI to identify data opportunities vs. 22% without a strategy (Narrative Science)
  15. Accenture predictions show us signs leaning toward Labor profits going up around 40%, akin to extravagant yield powered by new AI technologies before market analysis has yet come into wake (Accenture)
  16. 80% of tech and/or businesses reportedly agree: as a sprout from cultivating superior machines workers’ productivity could be aquiline increase potentials can further create job chances beneficial through introductions of automation so prominently found aloft (Narrative Science)
  17. Executives are embracing the potential of Artificial Intelligence to streamline their workflows and help them be more productive. With a whopping 80% believing AI will make their jobs easier, it’s clear that leaders in business believe technology is here to stay – and give us an advantage (The Economist)
  18. Consumers expect to find information quickly and easily online; chatbots can help meet this need. Survey findings show that consumers value 24-hour service (64%), instant responses (55%), and answers to simple questions (55%) (Drift)
  19. Companies using AI
  • 77% of businesses are using or exploring AI.
  • 35% of companies are currently utilizing AI while 42% are looking at its potential implementation in the future.
  • AI offers benefits such as improved accuracy, efficiency, and productivity.
  • The usage of AI is constantly growing; in 2020 34% of companies were using it, 31% in 2021, and 35% in 2022.

Key Takeaway

AI implementation in businesses can lead to a 40% boost in productivity.


Obstacles to AI Adoption Statistics

  1. 47% of executives are struggling to incorporate cognitive projects into existing processes and systems (HBR)
  2. 40% of executives recognize the hefty price tag associated with technologies and expertise (HBR)
  3. Even more worrying is that 37% of managers reportedly have no understanding of these new techs or how they work (HBR)
  4. 35% of executives agreed similarly in not being able to find people equipped for the task either (HBR)
  5. A majority of CEOs recognize the risk associated with AI adoption – 59% expressing concern over a lack of data science talent to realize value from big data technologies (GlobeNewswire)
  6. 76% anxiety is directed toward potential bias and opacity in regard to adopting artificial intelligence (PwC)
  7. 77% of CEOs still trust in automation as well-poised to catalyze business disruption (PwC)
  8. 31% of executives say that technologies are immature (HBR)
  9. 33% of marketers say that they face challenges when integrating AI into their current workflow and role (HBR)
  10. Despite a growing awareness of the importance of ethical AI monitoring, only 45% of businesses are actively engaging in such practices (FICO, Corinium)
  11. 65% don’t even understand how their own algorithms draw conclusions and predictions (FICO)
  12. 78% lack tools to adequately assess moral ramifications surrounding AI usage, it’s no surprise so many organizations neglect this critical area (FICO, Corinium)
  13. 93% of automation technologists opine that they are unprepared or partially prepared to take on the challenges pertaining to smart machine technologies (Forrester)

Key Takeaway

Only 45% of businesses are actively engaging in ethical AI monitoring, while 78% lack the tools to assess the moral ramifications surrounding AI usage.


Challenges Faced From AI Adoption

  1. Limited access to resources and a lack of understanding can make it difficult to adopt AI.
  2. Technical challenges such as data availability, scalability, and accuracy can impede adoption.
  3. Security concerns, integration issues, shortage of data scientists, and ethical considerations need to be addressed.
  4. Change management and algorithm transparency are also important factors when considering AI adoption.
  5. Regulatory compliance needs to be established for sensitive data usage.

Key Takeaway

Technical challenges and other factors need to be considered before adopting AI.


The AI-Vantage

  1. 51% of executives believe that AI will help power the performance, functionalities, and features of their product (HBR)
  2. 36% of executives say that AI will help free up the workforce by automating tasks to improve creativity (HBR)
  3. 36% of executives believe that cognitive technologies will power optimizing internal operations (HBR)
  4. 35% agree that AI will help individuals or businesses make better decisions (HBR)
  5. 32% of executives say that these technologies will help create new products faster and more efficiently (HBR)
  6. 30% believe that artificial intelligence will play a major role in optimizing external business processes like marketing and sales (HBR)
  7. 25% of executives believe that AI will help businesses pursue new markets (HBR)
  8. 22% agree that AI will reduce the overall headcount with automation (HBR)
  9. Investments in AI startups have grown exponentially since 2000, increasing by 6x (Report:Tortoise Intelligence)
  10. The number of AI startups has also seen a massive increase, rising 14x since 2000 (Report:Tortoise Intelligence)
  11. During Q2 2019, startups using AI bagged a record $7.4 billion in funding, which is by far the single highest amount raised ever in a quarter (CBInsights)
  12. Businesses using AI in personalizing and segmenting customer communications can register an increase in CTR by an average of 14% (EU Business School)

Key Takeaway

A majority of business executives believe that artificial intelligence will help their company in various ways such as increasing performance, creating new products, and pursuing new markets.


Customers Perspective On AI

  1. Around 62% of consumers and business buyers all over the globe have welcomed the use of AI to power their experiences (Statista)
  2. 55% of virtual assistant users have said that their preference to control their device hands-free is the key behind using speech recognition apps (Pew Research Center)
  3. 80% of marketers said that they already use or have chatbots as a part of their CX strategy (Report:Semrush)
  4. Blumberg Capital’s survey revealed that 50% of consumers feel optimistic and confident about the future of AI. The other 50% feel fearful and uninformed about it (Blumberg Capital)
  5. AI-powered media spending globally is expected to touch $327 billion by 2032 (Statista)
  6. 43% of consumers are confident that AI is here to better secure their personal information (Blumberg Capital)
  7. 84% trust AI will make healthcare organizations safer in protecting their health data (Blumberg Capital)
  8. 78% of consumers agree that AI will power financial organizations in protecting their data (Blumberg Capital)
  9. 63% of consumers say that they are comfortable or prefer messaging a chatbot versus communicating with a human (G2)
  10. 35% of people in America opine that they would never ever sit in a self-driving car (DriversEd)
  11. On the contrary, 67% of Americans say they believe that self-driving cars are safer compared to human-operated cars (DriversEd)
  12. 72% of companies believe that AI will help power, and ease their jobs (PwC)
  13. 63% of consumers trust AI to solve complex problems in the future (PwC)
  14. AI is projected to provide huge gains to the manufacturing industry, amounting to $3.78 trillion in GVA by 2035 (Accenture)

Key Takeaway

A majority of people around the world are welcoming AI in their lives, with a preference for hands-free control, especially to power their experiences, and 80% of marketers already using chatbots.


The Impact Of AI – Gainers

Industry Baseline Additional AI Contribution
Accommodation and Food Services $1.5 trillion $489 billion
Agriculture, Forestry, and Fishing $554 billion $215 billion
Arts, Entertainment and Recreation $453 billion $87 billion
Construction $2.76 trillion $520 billion
Education $1.06 trillion $109 billion
Financial Services $3.42 trillion $1.15 trillion
Healthcare $2.26 trillion $461 billion
Information and Communication $3.72 trillion $951 billion
Manufacturing $8.4 trillion $3.78 trillion
Other Services $535 billion $95 billion
Professional Services $7.47 trillion $1.85 trillion
Public Services $3.99 trillion $939 billion
Social Services $1.08 trillion $216 billion
Transportation and Storage $2.13 trillion $744 billion
Utilities $962 billion $304 billion
Wholesale and Retail $6.18 trillion $2.23 trillion

AI Job Market, Challenges, and More

  1. Companies considering AI implementation face three main challenges: staff skills (56%), fear of the unknown (42%), and finding a starting point (26%) (Gartner)
  2. It is projected that 97 million new jobs will be created due to AI-enabled automation by 2025, requiring greater technical skill sets than previously needed (World Economic Forum)
  3. By 2030, 375 million people worldwide may need to make drastic career switches due to AI technology replacing 800 million existing jobs (World Economic Forum)
  4. An estimated 20 million manufacturing jobs could be displaced by robots by 2030 (Oxford Economics)
  5. 63% of CEOs expect AI technology to have a positive impact on job openings similar to when the internet was first made available.

?'?AI To Create 97 Million Jobs By 2025?'?

  1. 43% of manufacturers said that they added data scientists and data quality analysts to their workforce (Semrush)
  2. 35% of manufacturers are expected or agreed to hire data scientists in the next five years (Semrush)
  3. Job losses in sectors like health and social work are lower compared to the risk in sectors such as transportation and storage at 56%, manufacturing at 46%, and wholesale and retail at 44% (PwC)
  4. According to statistics, the use or applications of artificial intelligence in commerce is said to automatically drop by a great margin in the next ten years (Blumberg Capital)
  5. Cognitive technologies like robots, AI, machine learning, and automation are projected to substitute 16% of US jobs by 2025 (Forrestor)
  6. Cognitive technologies to power the development of 9% of new roles including robot monitoring professionals, automation specialists, data scientists, content curators, and more (Forrestor)
  7. As of a report, 44% of low-education workers are said to be at risk of technological unemployment by 2030 (PwC)
  8. 72% of business decision-makers believe AI can empower people to focus on more valuable work (PwC)
  9. The percentage of AI-related job postings is growing massively across all sectors. Accordingly to reports, there has been an increase to 1.9% in 2022 from 1.7% in 2021 (Standford's AI Index Report)
  10. Employers in the U.S. are increasingly seeking workers with AI-related skills

Job Landscape

Is A Career In Artificial Intelligence Right Fit For You?

  1. In the past few years, there has been an enthusiastic surge of businesses seeking to hire AI professionalsan increase of 32%
  2. Demand for these qualified candidates is so great that employers are grappling with a talent shortage, where open positions remain unfilled
  3. If potential salary is what’s driving your interest in this career path, breathe out a sigh of reliefthe hefty earnings are real
  4. According to reports, AI professionals earn well over $100,000 per year. What’s not to love?

Key Takeaway

The possibilities abound from researcher and developer roles leading research initiatives and automated process breakthroughs to consultant positions consulting businesses on the advances made available via AI technology or independence as an independent contractor building new artificial intelligence products.


Top Industry-Specific AI Statistics For 2023, and Beyond


  1. AI for manufacturing is growing rapidly, from $2.3 billion in 2022 to an estimated $16.3 billion by 2027 (MarketsAndMarkets)
  1. This growth is attributed to the availability of big data, improving computing power, increasing industrial automation, and larger capital investments (MarketsAndMarkets)
  2. The CAGR for the AI manufacturing market is 47.9% (MarketsAndMarkets)
  3. A whopping 93% of business leaders in the manufacturing world say that AI is at least moderately functional in their organization, while 49% say that AI is fully functional within their organization (KPMG)
  4. 61% of business leaders reported increased productivity as the greatest potential benefit of AI adoption (KPMG)
  5. 95% of business leaders agreed that AI would make their company run more efficiently (KPMG)
  6. In the next two years, industrial manufacturing business leaders anticipate impacts and growth in product design/development/engineering (21%), maintenance operations (21%), and production/assembly (15%) (KPMG)
  7. According to a survey, more than half 51% of manufacturers in Europe said that they are already implementing AI solutions with Japan at 30% taking the second spot and the US at third at 28% (Capgemini)
What about Generative AI in healthcare market?
Top Global Manufactures Implementing AI
  1. 44% of business leaders from the automotive and manufacturing said that artificial intelligence is the key to manufacturing in the coming years (Forbes)
  2. As of a survey, 20% of leading manufacturers are said to rely on embedded intelligence to automate the entire business process to speed up production/execution times by up to 25% (IDC)

Key Takeaway

According to KPMG, the manufacturing industry has come alive with artificial intelligence - a whopping 93% of business leaders find it useful for their work. It's revolutionizing production lines and helping push productivity further.



  1. Global artificial intelligence in the healthcare market size was valued at USD 15.4 billion in 2022 (MarketsAndMarkets)
  2. The market is expected to grow at a CAGR of 37.5% between 2023 and 2030 (MarketsAndMarkets)
  3. Key market players in the AI in the healthcare market Intel Corporation, Koninklijke Philips N.V., Microsoft, Siemens Healthineers, NVIDIA Corporation, etc (MarketsAndMarkets)
  4. 38% of providers in the healthcare industry said they use computers as diagnosis assistants (Gartner)
  5. 51% of healthcare players are said to invest in Artificial Intelligence/Machine Learning this year (Gartner)
  6. Potential annual savings of $150 billion can be achieved for the US healthcare economy by 2026 by combining key clinical health AI applications (Accenture)
  7. Robot-assisted surgery tops the chart in applications of AI in the healthcare industry, followed by virtual nursing assistants and administrative workflow assistance, taking the second and third spots, respectively.

What about Generative AI in healthcare market?

  1. Global generative AI in the healthcare market valued at USD 0.8 billion in 2022 (Market(dot)us)
  2. The market is projected to reach a valuation of $17.2 billion by 2032, representing a CAGR of 37.0%
  3. Healthcare providers can use Generative AI to reduce time spent on image analysis.
  4. Machine learning algorithms can analyze 3D scans 1,000 times faster than traditional methods.
  5. This provides real-time insights and helps healthcare providers effectively diagnose diseases.
  1. The clinical application segment was a significant revenue generator in 2022, leading by a share of 65% (Market(dot)us)
  2. This segment involves making clinical judgements and diagnoses, which dominated the global market in terms of revenue with 32% (Market(dot)us)
  3. Meanwhile, diagnostic centers put forth a substantial portion of the market revenue with 35% (Market(dot)us)
  4. Accounts further depict that North America earned the biggest chunk of traffic in economic conversion, grabbing 36% of the market in 2022 (Market(dot)us)
  5. As years go by though, trends indicate that Asia Pacific may gradually surge as the industry expands at an impressive compound annual growth rate (CAGR) from 2023 to 2032 (Market(dot)us)

Top 10 AI Applications

  • Robot-Assisted Surgery
  • Virtual Nursing Assistants
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Connected Machines
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Automated Image Diagnosis
  • Cybersecurity
  1. As the digital age accelerates, research is leading the charge in terms of advancements and applications – according toIDC
  2. Northwell Health implemented patient chats, achieving a 94% engagement rate among oncology services users (VentureBeat)
  3. AI adoption in the healthcare industry by departments
  • 46% – Service operations
  • 28% – Products and services
  • 19% – Risk management
  • 21% – Supply chain management
  • 17% marketing and sales

Key Takeaway

Healthcare is rapidly adopting Artificial Intelligence and Machine Learning, with over half of industry players making investments in these cutting-edge technologies this year. This ambitious move promises to revolutionize healthcare practices as we know them - furthering advancements that will vastly improve patient care.


Automotive and Transportation

  1. AI in the transportation industry is expected to touch $3.87 billion by 2026 at a CAGR of 15.8% between the years 2021 and 2026 (Market Data Forecast)
  2. By 2025, the forecast of the adoption of Artificial Intelligence-driven cars and vehicles is expected to touch 109% (Neurosys)
  3. Key players in the global automotive and transportation space include Continental AG, Intel Corporation, Nvidia Corporation, Denso Corporation, AI Motive, Siemens, Thales Group, Harman International, etc.
  4. The global automotive intelligence market is forecasted to grow to the size of nearly $74.5 billion in 2030 against 2019's $2.5 billion (Next Move Strategy Consulting)

Key Takeaway

By 2025, the use of AI-driven cars and vehicles is expected to experience an explosive surge - skyrocketing past 100%.



  1. The global AI in banking market size is estimated to touch $64.03 billion by 2030 versus its valuation of $3.88 billion in 2020 (AlliedMarketResearch)
  2. The market is expected to grow at a CAGR of 32.65 between 2021 and 2030 (AlliedMarketResearch)
  3. AI has the potential to unlock $1 trillion of value for banks (McKensyandCompany)
  4. According to a survey, 80% of banks globally are aware of the benefits artificial intelligence has to offer (BusinessInsider)
  5. By 2023, banks are projected to save $447 billion via AI apps (BusinessInsider)
  6. As per a report, the ability to detect financial fraud has increased massively over the years using AI (KPMG)
  7. Nearly 60% of financial services surveyed by McKinsey have embedded at least one AI capability (McKinsey)
  8. The most common AI technologies used are Robotic Process Automation (36%), Virtual Assistants/Conversational Interfaces (32%), and Machine Learning Techniques (25%) for fraud detection, underwriting, and risk management (McKinsey)
  9. Banking is said to be one of the major industries to spend a large chuck on AI solutions by 2025 (IDC)

Key Takeaway

Banks around the world are eager to harness the remarkable potential of artificial intelligence, which is predicted to open up a whopping $1 trillion in value.



  1. 10 to 55% performed within the insurance companies, including all major functions could be automated with the help of AI in the coming years (McKinsey)
  2. As per a report from McKinsey, the total tasks are expected to change significantly, meaning that professionals are required to upskill themselves to taste success (McKinsey)
  3. Compared to 2019 to now, health, property, car, and life insurers will be able to increase their annual savings by over 4 times by investing in emerging technologies (Jupiter Research)
  4. As of a report by KPMG, 'radically safer' vehicles, including the driverless is said to impact the auto industry massively by 60% over the next two decades (KPMG)
  5. Interestingly, 68% in the insurance space said that they use chatbots within their business (Accenture)
  6. Currently, a mere 1.33% of insurance companies are investing in artificial intelligence versus 32% in software and internet technologies (Deloitte)
  7. 55+ consumers are becoming more comfortable with digital insurer interactions (Accenture)
  8. 71% of consumers prefer digital claims over in-office claims, a 3% increase (Accenture)
  9. 49% of customers say that they would trust a human advisor more when making a claim. Only 7% said they would trust a chatbot (Accenture)

Key Takeaway

According to various reports, a large percentage of jobs in the insurance industry will be automated in the next few years with the help of AI.



  1. The global artificial intelligence in the telecommunication market size in 2019 was valued at $679 million (GrandViewResearch)
  2. The market is projected to grow at a CAGR of 38.4% from 2020 to 2027 (GrandViewResearch)
  3. The telecommunications industry is relying on AI mainly for customer service applications such as chatbots and virtual assistants to address customer challenges, and queries, etc pertaining to maintenance, installation, etc (GrandViewResearch)
  4. As of the latest data, 52% of telephone organizations are now employing chatbots faster than ever (Gartner)

Key Takeaway

Artificial intelligence is set to revolutionize the telecommunications industry in the coming decade - ushering in an era of unprecedented growth and innovation.


Tech-Specific Statistics


  1. The drone services market size is projected to reach $63.6 billion by 2025 (Insider Intelligence)
  2. As per statistics, the overall revenue amounts to $1.32 billion in 2023 (Statista)
  3. The drone market is projected to grow by a CAGR of 1.48% each year between 2023 to 2027 (Statista)
  4. In the global market, China takes the top spot in revenue generation with $1,394 million (Statista)

Key Takeaway

The drone services market is on track to soar to new heights, with China taking the lead in projected revenue. By 2025, it's estimated that this thriving industry will bring in a whopping $63.6 billion.


Chatbots/Voice Assistants

  1. The global chatbot market was valued at $703 million in 2016 (Outgrow)
  2. As of the latest value predictions, it is expected to touch a whopping $102.29 billion by 2026 from 2020s 17.17 billion (Research And Markets)
  3. By 2024, the chatbot market is expected to grow to $9.4 billion in 2024 compared to 2019's $2.6 billion (MarketsAndMarkets)
  4. 51% of Americans (let's assume 1 in 2) now use voice-controlled digital assistants on smartphones and other devices (Statista)
  5. In regards to which voice assistant is more accurate, Google Assistant is said to be the favoutire with an accuracy record of 98% (Statista)
  6. Apple's Siri tops the chart with 93% accuracy in regard to commands (Statista)
  7. As of a recent report, the world will register a total of 8 billion voice assistants this year Closer to equalling the world population (Statista)
  8. In regard to global smart speaker market share, Amazon takes the lead with 30% and Google with a decent 17% of the total market share, globally (Statista)

Key Takeaway

By 2024, the chatbot industry is projected to be a whopping $9.4 billion, representing an incredible growth opportunity for businesses.


Self-driving Cars

  1. The global self-driving cars market size as per revenue was worth $20.3 million in 2021 (estimates) (MarketsAndMarkets)
  2. According to the predictions, it is expected to touch $62.4 million by 2027 at a CAGR of 13.3% (2021 to 2030) (MarketsAndMarkets)
  3. Major companies all over the world are investing heavily in self-driving cars with Volkswagen investing a whopping $2.6 billion (The Robot Report)
  4. The autonomous vehicles industry by 2026 is said to be worth $668 billion (The Robot Report)

Key Takeaway

The self-driving car industry is experiencing unprecedented growth, with an estimated $62.4 million value by 2027 and major companies investing significantly.


Business Function Specific Statistics


  1. 79% of professionals say that the adoption of artificial intelligence in marketing and sales will power the revenue of businesses (McKinseyandCompany)
  2. As per a report, business leaders globally said that chatbots have boosted their sales by 67% on average (Forbes)
  3. AI adoption in sales is usually used in magnifying customer service analytics and segmentation (McKinseyandCompany)
  4. Companies using artificial intelligence for sales purposes said that they powered their leads by over 50%
  5. A survey has revealed that a large number of B2B companies (30%) are taking advantage of the power of artificial intelligence to boost their sales processes and propel them forward (Gartner)
  6. The use of AI in sales helped reduce call time by 60 to 70% and cost by 40 to 60% (HBR)


  1. AI in marketing was estimated at 15.84 billion U.S. dollars in 2021. As of the latest projections, its value is said to increase to more than 107.5 billion by 2028 (Statista)
  2. 79% of professionals agree that AI is one of the leading technologies in the world that is sure to impact marketing in the coming days (Drift)
  3. 64% of marketers in the B2B industry agree that artificial intelligence is the key to driving their sales and marketing strategies (Everstring)
  4. On the contrary, 63% of marketers in B2B said that they are not using AI in their tech stack (Everstring)
  5. 71% of B2B marketers said that they are willing to use AI for personalization (Everstring)
  6. 63% of marketers in B2B said they are interested to use AI to identify key trends (Everstring)
  7. 59% of B2B marketers are expecting artificial intelligence to assist them in identifying key/prospective customers (Everstring)
  8. However, only a mere 13% of marketers said that they are confident in using AI or have knowledge of the technology (Everstring)
  9. 55% of marketers said that they are 'somewhat' confident, while 33% said they weren't (Everstring)
  10. When it comes to driving revenue for their business, more than half, about 53% said that AI is here to help them improvise on their marketing strategies (Everstring)

Human Resources (HR)

  1. Organizations are using AI to improve HR processes like never before (Gartner)
  2. 40% of organizations are focusing on HR operations, 38% on talent acquisition, and 38% on employee engagement monitoring (Gartner)
  3. According to a report, 62% of businesses have deployed artificial intelligence to power their data-specific decision making (Gartner)
  4. 56% of businesses are finding ways to automate their manual tasks further (Gartner)
  5. According to a survey, 96% of HR leaders agree that AI offers the potential to magnify talent acquisition and retention massively (Ideal)
  6. According to Gartner, the amount of investment in AI is increasing within the HR space (Gartner)
  7. 47% of HR leaders plan to increase their investments in AI (Gartner)
  8. 51% of HR leaders intend to maintain their current investments in AI (Gartner)

Key Takeaway

Sourcing talent with AI can help organizations find the right people for the job


Customer Service

  1. According to a report by PEGA, 27% of customers believe that AI can deliver powerful customer service versus humans (PEGA)
  2. 80% of companies will count on artificial intelligence and automation to power their service efficiency (PEGA)
  3. 77% of companies say that they will rely on AI to enhance their quality of service (PEGA)
  4. Shockingly, businesses in the US alone lose $75 billion each year due to poor customer service (NewVoiceMedia)
  5. On the brighter side, 73% of consumers expressed their willingness to use AI only if it can make their life easier (PEGA)
  6. As of the reports, 85% of customers are said to manage their relationship with any business or organization without having to interact with a human (Gartner)
  7. AI is said to boost almost all customer interactions (95%) by 2025 which also includes online and live telephonic conversations (Servion)

Key Takeaway

Companies are increasingly turning to artificial intelligence for customer service, as it is more efficient and can provide a better experience for customers

  1. AI technology to be at the forefront of Attackers and Defenders in cyber security in 2023, allowing for faster threat detection and response.
  2. 3D printing is said to revolutionize the construction industry by making homes more sustainable and cheaper by a large margin. Going forward, we can expect these printers to print foundations as well as walls for a small house in just less than 24 hours.
  3. In the 2020s, experts bet on AI in helping humans grow food with vertical agriculture. Sooner, we can use hydroponic plants for fruits/vegetables, and use vitro cloning for meat.
  4. Natural Language Processing (NLP) is set to become a major area of growth with predictions of it being worth $341bn by 2030.
  5. AI-generated content is becoming increasingly popular as it offers efficient solutions to mundane tasks, creating high-value experiences for customers.
  6. Low-code/no-code development allows businesses with any budget or technical capability to implement AI in their systems.
  7. Chatbots will play an important role in digital transformation, providing quicker customer service while freeing up employees' time for higher-value tasks.
  1. In 2023, advancements in language understanding and generation are expected, such as better handling of context, idiomatic expressions, etc..
  2. Increased use of self-supervised learning algorithms is also anticipated, which can learn from large amounts of unlabeled text data for pre-training and fine-tuning language models.
  3. LLMs such as GPT-3, T5, and BERT will continue to be developed and improved.
  4. More research may be conducted regarding natural language dialogue systems for creating more sophisticated chatbots and virtual assistants.
  1. YOLOv8, the latest State-of-the-Art (SOTA) in object detection sent waves of excitement throughout the tech world when it was released in 2023 – indicating that there is still much more to come.
  2. Generative models are advancing quickly and broadening our potential for creating realistic images, videos and 3D models.
  3. Furthermore, image and video understanding has enabled advanced applications such as self-driving cars or medical imaging to become increasingly sophisticated.
  4. In the coming years, augmented reality may soon enjoy wider use with advancements like improved hand/facial gesture recognition systems along its side likely becoming a valuable tool for gaming, eCommerce and education going forward.
  1. In 2023, advancements in speech recognition are expected to improve AI’s accuracy and its ability to handle various accents and languages.
  2. Further developments in speech synthesis will likely result in more natural and realistic sounds, with the ability to mimic different voices and emotions.
  3. Improved speech separation is also anticipated, allowing for easier separation of multiple speakers in complex environments.

Generative AI Statistics

  1. According to the latest reports, the Generative AI Market is expected to grow to $188.62 billion by 2032 (Brainy Insights)
  2. Commercial industries believe that Generative AI will power the productivity and daily productivity of their respective businesses (Brainy Insights)

But what is the job market of Generative AI? Will it impact jobs in the bigger picture?

  1. As per a research report, Generative AI could affect more than 300 million jobs (Goldman Sachs)
  2. Generative AI is said to play a major role in the coming years. As per the report, the administrative industry is expected to be at great risk with an impact of 46%, and 44% in legal professions. The least impacted would be construction (6%) and maintenance (4%) (Goldman Sachs)

The Top Generative AI Statistics

  1. It is predicted that, by the year 2025, 10% of globally produced data will originate from generative AI and this number could rise significantly by 2030 when the generative AI market may be worth over $15.7 trillion resulting in an expected 26% increase in Global GDP
  2. In a growth trajectory that’s projected to reach 33.2% by 2027, the latest research reports show promise for an increased rate of success
  3. With such potential for success, it’s no surprise that this technology has proven to be a popular venture: currently, there are over 210 generative AI-based startups spread across the globe, yet despite this only around 10% of people living in the USA have used AI for their social media accounts as of 2021 indicating vast scope for future technological innovation within the field.

The Generative AI Prediction By Gartner

  1. As of Gartner's report, a total of 20% of the work of procedural code professionals will be replaced by Generative AI by 2025.
  2. And during the same year, a total of 30% of outbound marketing messages will be created synthetically in large-scale companies
  3. 50% of drug development is said to be made using Generative AI by 2025
  4. The report also predicts that there will be an increase in product development efficiency by 2027, with 30% of manufacturers using Generative AI.

(Image Source: Gartner)


Generative AI is rapidly increasing its influence within the commercial sectors, with current use cases now spanning across industries like healthcare and finance. By 2023, these applications are set to reach unprecedented levels of advancement a trend that promises an exciting future for businesses everywhere. The above chart explains it all.

  1. Influencers and content creators have a new tool up their sleeve – Generative AI.
  2. With major advances backed by companies like DeepMind, Google, and MIT, ChatGPT is proving to be formidable competition for the tech giant in its beta phase!
  3. Now we can create 3D models with voice commands or text-to-image modeling using natural language processing models and audio generation through voice synthesis.
  4. Even better? This groundbreaking technology has businesses hopping on board which is projected to grow at a 36% rate in the Asia Pacific market alone by 2030 – bringing plenty of opportunities our way.
  5. Gartner believes that AI is growing at an astounding rate, with 20% of procedural code work being replaced by Generative AI and 30% of outbound marketing messages created synthetically in large organizations – all within the next 5 years.
  6. At this pace, we can expect 90% of material in quarterly reports to be produced through artificial intelligence as well as 50% of drug development processes.
  7. Come 2024, the EU will mandate watermarking for any artificially generated artifacts.
  8. Manufacturers are set to turn towards Generative AI technology over the coming year too accounting for up to 30% to power their production efficiency demands dramatically.

AI Sports and Gaming Market Statistics

  1. The global artificial intelligence sports market valued at $1.8 billion in 2021 is estimated to reach $19.9 billion by the year 2030, resulting in a CAGR of 30.4% from 2022 to 2030.
  2. The market growth is being influenced by the rising demand for:

– Player monitoring and tracking

– Artificial intelligence to provide forecasts and sports predictions

– Real-time data analytics

– Virtual assistants/Chatbots to interact with fans

According to reports, the gaming market, especially AI-powered video games is said to experience record growth in the coming years

– AI-based ticketing for facial recognition entries

  1. According to reports, the gaming market, especially AI-powered video games is said to experience record growth in the coming years

AI In Education Market Statistics

  1. The global AI in the Education market has been growing quickly and was estimated to value $1.82 billion in 2021 (Straits Research)
  2. Experts predict that its growth rate won't slow down anytime soon, with a 36 percent compound annual growth rate expected from 2022 to 2030 (Straits Research)
  3. The evaluation of players dominating this market has become more and more pertinent. Top companies are investing heavily in expanding their market presence across other regions and leveraging lucrative opportunities presented by current industry gaps.
  4. International Business Machines Corporation, Google, Microsoft, Pearson, Cognizant, Amazon Web Services, DREAMBOX LEARNING, Fishtree Inc, BridgeU, Jellynote, and Metacog INC. Except for Jellynote, all major players belong to the US.

Other Key AI Statistics

  1. Over 90% of Fortune 1000 companies are investing in Artificial Intelligence (AI) technology to benefit from potential cost savings, increased efficiency, and greater customer insight.
  2. Over half of businesses have implemented AI solutions in their operations, leading to better decision-making processes, better forecasting abilities, and improved customer satisfaction.
  3. Consumer devices containing some form of AI technology account for over three-quarters of all devices in use, with voice search being used by 40% of users at least once a day.
  4. Digital assistants powered by AI already exceeded 3 billion worldwide due to advanced machine learning algorithms making them reliable enough to solve complex tasks.
  5. By 2029, experts opine that search engines will no longer digest keywords but will understand the true meaning of a search inquiry to show results.
  6. 82% of consumers have already received customer service from an AI-powered assistant or chatbot, showing the investment organizations are making in automated customer service systems which improves efficiency and customer satisfaction rates.
  7. 25% of sales teams are using AI-powered solutions for tasks like customer segmentation, lead scoring, personalization and targeted outreach campaigns – resulting in more conversions and faster sales cycles.

Wrapping it up...

With the steep increase in AI and its applications, it’s clear that this technology has an integral role to play in our future. Businesses around the world are adapting and incorporating AI into their operations, both now and for the foreseeable future.

Though opinions vary about what shape AI integration will take, its advancement is undeniable. Technology's development evolves far too quickly for us to make premature assumptions or rely on past trends to predict how it may look in the future. However, one thing is certain: its impact will be felt across all areas of life, leading us down a path of an ever-evolving digital landscape full of promise and potential.

<div class='toc'><ul><li><a href=#Top-AI-Statistics-(Editor's-Pick)><b>Top AI Statistics (Editor's Pick)</b></li><p>  <a href=#The-AI-Market-Forecasts>The AI Market Forecasts</p><p>  <a href=#Market-Size>Market Size</p><li><a href=#AI-Adoption-><b>AI Adoption </b></li><li><a href=#Artificial-Intelligence-Usage-Statistics><b>Artificial Intelligence Usage Statistics</b></li><li><a href=#Obstacles-to-AI-Adoption-Statistics><b>Obstacles to AI Adoption Statistics</b></li><li><a href=#Challenges-Faced-From-AI-Adoption><b>Challenges Faced From AI Adoption</b></li><li><a href=#The-AI-Vantage><b>The AI-Vantage</b></li><li><a href=#Customers-Perspective-On-AI><b>Customers Perspective On AI</b></li><li><a href=#The-Impact-Of-AI-–-Gainers><b>The Impact Of AI – Gainers</b></li><li><a href=#AI-Job-Market,-Challenges,-and-More><b>AI Job Market, Challenges, and More</b></li><li><a href=#Is-A-Career-In-Artificial-Intelligence-Right-Fit-For-You><b>Is A Career In Artificial Intelligence Right Fit For You</b></li><li><a href=#Top-Industry-Specific-AI-Statistics-For-2023,-and-Beyond><b>Top Industry-Specific AI Statistics For 2023, and Beyond</b></li><p>  <a href=#Manufacturing>Manufacturing</p><p>  <a href=#Health>Health</p><li><a href=#What-about-Generative-AI-in-healthcare-market-><b>What about Generative AI in healthcare market </b></li><p>  <a href=#Top-10-AI-Applications>Top 10 AI Applications</p><p>  <a href=#Automotive-and-Transportation->Automotive and Transportation </p><p>  <a href=#Banking>Banking</p><p>  <a href=#Insurance>Insurance</p><p>  <a href=#Telecom>Telecom</p><li><a href=#Tech-Specific-Statistics-><b>Tech-Specific Statistics </b></li><p>  <a href=#Chatbots/Voice-Assistants>Chatbots/Voice Assistants</p><li><a href=#Business-Function-Specific-Statistics-><b>Business Function Specific Statistics </b></li><p>  <a href=#Sales->Sales </p><p>  <a href=#Marketing>Marketing</p><p>  <a href=#Human-Resources-(HR)>Human Resources (HR)</p><p>  <a href=#Customer-Service->Customer Service </p><li><a href=#Top-AI-Trends-–-The-Now,-and-Future-><b>Top AI Trends – The Now, and Future </b></li><li><a href=#AI-For-Text-–-Trends><b>AI For Text – Trends</b></li><li><a href=#AI-For-Vision-–-Trends-><b>AI For Vision – Trends </b></li><li><a href=#AI-For-Speech-–-Trends- ><b>AI For Speech – Trends </b></li><li><a href=#Generative-AI-Statistics><b>Generative AI Statistics</b></li><li><a href=#The-Top-Generative-AI-Statistics><b>The Top Generative AI Statistics</b></li><li><a href=#The-Generative-AI-Prediction-By-Gartner><b>The Generative AI Prediction By Gartner</b></li><li><a href=#Generative-AI-Trends><b>Generative AI Trends</b></li><li><a href=#AI-Sports-and-Gaming-Market-Statistics><b>AI Sports and Gaming Market Statistics</b></li><li><a href=#AI-In-Education-Market-Statistics><b>AI In Education Market Statistics</b></li><li><a href=#Other-Key-AI-Statistics><b>Other Key AI Statistics</b></li></ul></div>
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