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50+ Vital Artificial Intelligence Statistics: 2020 Data Analysis & Market Share

Category: B2B News

As machine learning continues to be employed in business processes, AI has found its way into the heart of businesses by enabling machines to perform tasks the way humans do. This is apart from the fact that AI-enabled solutions are able to adjust to situations while learning from experience. Artificial intelligence software employs advanced technologies such as natural language processing and deep learning, making them trainable in carrying out tasks. Such systems accomplish these by being able to recognize patterns in high volumes of data.

If you are planning to develop or shop for a software system with AI capabilities like top data analytics tools, knowing where the industry is heading is a must. Here, we have compiled a list of the most pertinent AI statistics to help you know more about the technology and the tools that use them. Given the current artificial intelligence market size, the statistics are wide and varied but can lend to you clues to the factors shaking up this technology niche.

key artificial intelligence statistics

AI Market Statistics

The artificial intelligence (AI) software market has been expanding at breakneck speed: the latest artificial intelligence market forecast, for example, shows that the industry is driven by the uptick in the category’s use cases. However, growth is not confined to the software industry, as AI is also expected to leave a positive economic footprint. The following are key artificial intelligence market statistics that you should know.

  • AI will grow into a $118.6 billion industry by 2025. [1]
  • 55.6% – The forecast compound annual growth rate of the AI market. [2]
  • Asia Pacific is expected to hold the largest AI market share. [2]
  • Manufacturing is seen to experience the highest AI use growth. [2]
  • The limited number of AI experts is seen to be a major obstacle to the AI market’s growth. [2]

AI Usage Statistics

AI software has found numerous applications in the business world and among consumers. These tools are commonly being utilized for communicating with mobile devices, coming in the form of a variety of technologies such as voice assistants and chatbots. Organizations have likewise reaped the benefits of these solutions, making areas in sales, marketing, and customer service more effective in the process.

  • 55% – users who cite hands-free device interaction as the main reason for using voice assistants. [3]
  • 22% – users who say they prefer to speak to voice assistants than type. [3]
  • 26% – users who say they use voice assistants as a way to remotely connect with other systems. [3]
  • 39% – users who say voice assistants respond to their commands accurately. [3]
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Cumulative Global AI Revenue Forecast 2016-2025

Ranked by use case (In Millions of Dollars)

Cumulative Global AI Revenue Forecast 2016-2025
Static image recognition, classification and tagging: 8097

Static image recognition, classification and tagging

Cumulative Global AI Revenue Forecast 2016-2025
Algorithmic trading strategy performance improvement: 7540

Algorithmic trading strategy performance improvement

Cumulative Global AI Revenue Forecast 2016-2025
Efficient, scalable processing of patient data: 7366

Efficient, scalable processing of patient data

Cumulative Global AI Revenue Forecast 2016-2025
Predictive maintenance: 4680

Predictive maintenance

Cumulative Global AI Revenue Forecast 2016-2025
Object identification, detection, classification, tracking: 4201

Object identification, detection, classification, tracking

Cumulative Global AI Revenue Forecast 2016-2025
Text query of images: 3714

Text query of images

Cumulative Global AI Revenue Forecast 2016-2025
Automated geophysical feature detection: 3655

Automated geophysical feature detection

Cumulative Global AI Revenue Forecast 2016-2025
Content distribution on social media: 3564

Content distribution on social media

Cumulative Global AI Revenue Forecast 2016-2025
Object detection and classification, avoidance, navigation: 3169

Object detection and classification, avoidance, navigation

Cumulative Global AI Revenue Forecast 2016-2025
Prevention against cybersecurity threats: 2471

Prevention against cybersecurity threats


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AI in Business Statistics

Current artificial market research reflects that even as many companies lag in AI adoption, others have embraced the technology, finding innovative use cases for it. The use of artificial intelligence in business applications include areas such as marketing, customer service, and sales, which have previously been known to involve labor-intensive and grueling processes. AI use has resulted in improved productivity and profitability. For instance, current business intelligence statistics reflect the steady rise in the market for such products, making it safe to say that the future looks bright for the technology.

  • 54% of executives say AI tools have boosted productivity. [4]
  • 40% is the projected increase in labor productivity from AI use. [5]
  • 47% of companies that are digitally mature say they have a defined AI strategy. [6]
  • 61% of business professionals say machine learning and AI are their organization’s most significant data initiative. [7]
  • 71% of executives say AI and machine learning are game-changers. [7]
  • 61% of executives with defined strategies say AI can be used to single out opportunities using data. [8]

AI in Sales Statistics

Companies have proved that the use of AI greatly improves their sales processes. These tools make use of algorithms to make recommendations to customers, come up with sound business forecasts, and even advertise their products through a variety of channels, including social media and email. Today’s AI tools are also able to monitor consumer behavior, online activities, and preferences, making it possible for businesses to sell their products and services more effectively. This is evidenced by artificial intelligence in business tendency that indicates the massive use of AI.

Impact of AI Use on Sales

  • 60% to 70% – call time reduction from AI use. [9]
  • 40% to 60% – cost reductions from AI use. [9]
  • 25% of customer service interactions will be handled by chatbots by 2020 [10]
  • 30% of B2B businesses will use AI to reinforce at least one sales process by 2020. [11]
  • 10% of US jobs can be lost from the use of automation. [12]
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How Much Time Do Sales Reps Spend on Tasks in a Week?

How Much Time Do Sales Reps Spend on Tasks in a Week?
Administrative tasks: 25%

Administrative tasks

How Much Time Do Sales Reps Spend on Tasks in a Week?
Connecting with clients or prospects in person: 24%

Connecting with clients or prospects in person

How Much Time Do Sales Reps Spend on Tasks in a Week?
Service tasks: 16%

Service tasks

How Much Time Do Sales Reps Spend on Tasks in a Week?
Connecting with clients or prospects virtually: 12%

Connecting with clients or prospects virtually

How Much Time Do Sales Reps Spend on Tasks in a Week?
Down time: 7%

Down time

How Much Time Do Sales Reps Spend on Tasks in a Week?
Traveling: 7%


How Much Time Do Sales Reps Spend on Tasks in a Week?
Internal company meetings: 6%

Internal company meetings

How Much Time Do Sales Reps Spend on Tasks in a Week?
Training: 4%




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AI in Marketing Statistics

AI has become a very important component of marketing, spawning the term AI marketing in the process. This involves the use of AI to help businesses decide on how to reach their customers best. The main goal of the process is, of course, to boost targeting, personalization, and customer experience. This is achieved with the use of customer data as a basis. AI use in top marketing analytics tools usually involves search engines, information filtering/analysis, search engines, image recognition and visual search, sentiment analysis, and social listening.

  • 64% of B2B marketers consider AI as important to their sales and marketing strategy. [13]
  • 63% of B2B marketers do not use AI. [13]
  • 13% of B2B marketers are confident with their knowledge of AI. [13]
  • 28% of top-performing organizations use AI for marketing. [14]
  • 71% – the percentage of B2B marketers who are interested in using AI for personalization. [13]
  • 59% of B2B marketers expect to use AI in identifying prospects. [13]
  • 33% of marketers say the application of AI in their current workflow is the greatest obstacle to integration. [15]
  • 60% of marketers say AI has been useful in data strategies. [13]

AI in Customer Service Statistics

Customer service is another area where AI has been making a difference. The technology is now being used as both reinforcement and replacement for human agents. What’s good about this is that it minimizes costs while further enriching customer experience. Many businesses have been enjoying this benefit by using a variety of AI-powered tools, among them top live chat software. While AI still has its limitations, it is now able to process customer requests that previously were handled by human agents. AI technology has found its way into a number of customer service processes, including call receiving and routing. 

  • 78% of brands have already or are planning to implement AI by 2020. [16]
  • 27% of consumers around the world say AI can deliver better customer service than human agents. [17]
  • 73% of global consumers are open to the use of AI by businesses, provided they make life easier. [17]
  • 43% of millennials are willing to pay a premium for a hybrid human-bot customer service channel. [18]
  • 38% of consumers say AI will boost customer service. [17]
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Most Important Benefits from AI-Powered Solutions

Most Important Benefits from AI-Powered Solutions
Predictions linked to customers, business health and machines: 38

Predictions linked to customers, business health and machines

Most Important Benefits from AI-Powered Solutions
Automation of manual/repetitive tasks: 27

Automation of manual/repetitive tasks

Most Important Benefits from AI-Powered Solutions
Monitoring and alerts to provide assessments on the state of your business: 14

Monitoring and alerts to provide assessments on the state of your business

Most Important Benefits from AI-Powered Solutions
Increase quality of customer communications: 10

Increase quality of customer communications

Most Important Benefits from AI-Powered Solutions
Recommendations related to internal issues/customer facing efforts: 7

Recommendations related to internal issues/customer facing efforts

Most Important Benefits from AI-Powered Solutions
Others: 4




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Benefits of AI Adoption Statistics

The use of AI offers a myriad of benefits—there is no denying this. For companies, AI technologies offer the gift of automation, which improves productivity and efficiency, leading to increased bottom lines and more jobs. Evidence of this is the continued artificial intelligence market growth that we’re witnessing. Also, you need only look at current CRM software statistics to see how AI-powered platforms have been performing so far. It likewise helps humans focus more on important matters by automating otherwise repetitive processes. These, and more are the reasons why businesses are increasingly using AI to boost their processes. However, there are things to consider when purchasing BI software or other solutions.

  • 75% of businesses say AI will allow them to move to new ventures and other businesses. [19]
  • 72% of decision-makers say AI will be the business advantage of the future. [20]
  • 51% of executives say their AI goal is to enhance the functions, features, and performance of their products. [21]
  • 79% of executives say AI will make work easier and more efficient. [22]
  • 59% of executives say AI can improve big data use in their organizations. [4]

Most Popular Artificial Intelligence Software

  1. Cloud Machine Learning Engine. Google’s machine learning platform for data of all sizes using the TensorFlow framework. Read about what it can do for you in our Cloud Machine Learning Engine review.
  2. Azure Machine Learning Studio. The Azure Machine Learning Studio’s interactivity is its main attraction, featuring drag-and-drop operations on datasets. Learn how it all works in our Azure Machine Learning Studio review.
  3. Salesforce Einstein. A powerful AI member of the Salesforce family that processes and analyzes data to predict trends for business purposes. We talk more about what else it offers in our Salesforce Einstein review.
  4. IBM Watson. Watson from IBM is an enterprise-level AI application that allows organizations to discover business opportunities with AI and machine learning. We discuss the gist of what this AI can do in our IBM Watson review.
  5. Apache PredictionIO. An open-source AI platform that can publish machine learning engines to the web as a service. Discover its capabilities in our in-depth Apache PredictionIO review.

Obstacles to AI Adoption Statistics

Despite the huge benefits that AI offers, a considerable number of businesses continue to shy away from the technology as they continue to be apprehensive about how it could impact their organizations. These reasons, although misplaced, are but a natural reaction to anything new. And then there is the matter of organizations refusing to abandon their existing workflows and processes.

  • 76% of CEOs are most concerned with AI adoption’s lack of transparency and potential for bias. [23]
  • 77% of CEOs say vulnerability and disruption to their businesses could increase with AI and automation [23]
  • 40% of executives say that the high price of deployment is an obstacle to AI initiatives. [21]
  • 37% of executives say that managers’ lack of understanding of cognitive technologies hampers AI adoption. [21]

AI’s Impact on Employment Statistics

Although centuries away from SkyNet, today’s AI platforms have been making steady strides in making processes free of human intervention. However, with these benefits come potential job losses from AI use. Automation has become the new norm in a number of business processes such as accounting, marketing, and sales as developers continue to find ways to expand AI automation capabilities.  

  • 16% of US jobs may be replaced by technologies like machine learning, AI, robots, and automation by 2025. [12]
  • 48% of experts say digital agents and robots will displace both white- and blue-collar employees. [24]
  • 54% of EU jobs are at risk of computerization. [25]
  • 9% of new US jobs will be created by techs like AI, robots, machine learning, and automation by 2025. [26]
  • 40% – the percentage of labor productivity increase from AI technologies. [5]

What Do These Figures Mean? Getting the Most Out of AI

Despite the challenges that come with the implementation of AI, companies should embrace technology, which can greatly improve their standing in their respective markets. Leveraging these tools can also give a company a competitive edge by using it to boost core corporate functions. The following are tips on how to successfully maximize the benefits of AI.

New Tech, New People

To successfully use AI, you need to hire new talent—both technical and managerial. This is because the technology is bound to require previously unheard-of job positions so that businesses may be able to add the technology in the corporate mix. Only when you successfully integrate AI into your processes and workflows will you be able to realize its full potential, and you need individuals with the right skills to do this.

Establish a Strong Digital Base

Contrary to what you may think, AI is not a tool for digitization but rather a critical appendage of it. Remember that AI works best when you have access to high-grade information. A company’s digital foundation, however, is not confined to data. It includes all digital equipment and assets, along with their respective uses.

Focus on Growth, Not Cost Reduction

Some companies view AI as a means to reduce costs, but it can do much more than that. Many retailers use AI to expand their markets, which results in growth. When used across a company’s entire tech stack, AI can really make a difference when it comes to sales. This new use of the tech could only result in an expanded artificial intelligence market share.

Be Willing to Change Business Goals

If you’re planning to use AI, you should be ready to make changes in your long-term goals. Migrating to an alternative business model may result in new revenue sources, which is always a good thing.



  1. ^Revenues from the artificial intelligence (AI) software market worldwide from 2018 to 2025
  2. ^Artificial Intelligence (AI) Market Outlook: 2025
  3. ^Nearly half of Americans use digital voice assistants, mostly on their smartphones
  4. ^2018 AI predictions: 8 insights to shape business strategy
  6. ^Mobile Maturity Means More Than Just An App And Website
  7. ^Survey Finds Machine Learning and Artificial Intelligence are Top Business Priorities
  8. ^62% of Organizations Will Be Using Artificial Intelligence (AI) Technologies by 2018
  9. ^Why Salespeople Need to Develop “Machine Intelligence”
  10. ^Gartner Predicts a Virtual World of Exponential Change
  11. ^Gartner Says 25 Percent of Customer Service Operations Will Use Virtual Customer Assistants by 2020
  12. ^How Automation Is Impacting Enterprises In 2019
  14. ^Study Finds Investments In Customer Experience Are Paying Off
  15. ^2018 Future of Marketing and AI Survey
  16. ^Can Virtual Experiences Replace Reality?
  17. ^What Consumers Really Think About AI
  18. ^ How artificial intelligence is pushing man and machine closer together
  19. ^How Artificial Intelligence Is Revolutionizing Business In 2017
  20. ^Bot.Me: A revolutionary partnership
  21. ^Artificial Intelligence for the Real World
  23. ^Pressure for responsible AI won’t be on tech companies alone
  24. ^AI, Robotics, and the Future of Jobs
  25. ^Chart of the Week: 54% of EU jobs at risk of computerisation
  26. ^Robots, AI Will Replace 7% Of US Jobs By 2025


Jenny Chang

By Jenny Chang

Senior writer at FinancesOnline who writes about a wide range of SaaS and B2B products, including trends and issues on e-commerce, accounting and customer service software. She’s also covered a wide range of topics in business, science, and technology for websites in the U.S., Australia and Singapore, keeping tabs on edge tech like 3D printed health monitoring tattoos and SpaceX’s exploration plans.

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