AI assistant statistics

The AI market is experiencing significant growth. More and more smart devices, voice assistants, virtual assistants, and tools are leveraging AI. The AI assistant statistics do not lie. The expansion of artificial intelligence reflects the increasing AI usage in our daily lives and workflows.

While some view artificial intelligence as the ultimate game-changer, others remain skeptical and consider it as just another passing hype. However, one thing is sure: AI-powered tools are becoming increasingly popular, and AI usage in everyday life is no longer science fiction.

In this article, I will dive into the latest AI assistant statistics and market trends in 2024. I will cover the relevant statistics and facts about AI-powered assistants, including AI writing assistants, AI coding assistants, AI meeting assistants, AI sales assistants, and AI virtual assistants.

What is an AI assistant?

An AI assistant, also known as an artificial intelligence assistant, refers to any digital tool or application that utilizes generative artificial intelligence technologies to perform specific tasks, answer questions, or carry out commands.

AI assistants are often cloud-based, so you can access them remotely anywhere, as long as you have a stable internet connection.

We can divide AI assistants into five major groups:

  • AI writing assistants,
  • AI coding assistants,
  • AI meeting and scheduling assistants,
  • AI sales and marketing assistants,
  • AI virtual assistants (personal assistants), including voice assistants.

AI writing assistant statistics

An AI writing assistant utilizes machine learning and helps in the process of content creation. These tools were among the first things people started implementing when exploring AI functions.

Businesses can benefit from artificial intelligence during the entire process of content creation: 

  • Idea generation and brainstorming,
  • Topic research,
  • Search engine optimization,
  • Automated content creation,
  • Improving existing content,
  • Making visualization.

AI-based tools leverage natural language processing (NLP) to analyze text and provide suggestions. Essentially, an AI writing assistant can increase performance and creativity while significantly cheaper than delegating content marketing to an agency. 

Using generative AI for content creation increases performance by 58%

As per eMarketer’s survey, businesses using generative AI for content creation increased their performance by 58%. The respondents also confirmed that generative AI improved their creative variety and cost-effectiveness by 50%. 

Additionally, those who applied generative AI during content creation reported shorter creative cycles, as per the feedback from the survey participants.

AI statistics in content creation
Usage statistics show that companies using generative AI for content creation increased their performance by 58%. Source: eMarketer

4% of small businesses use artificial intelligence for content creation

4% of small-scale businesses already use artificial intelligence for content creation purposes. Such numbers include every activity in the course of crafting blog posts or social media posts. 

Content creation is one of the issues when AI can do a lot for your business. Generating content is a time-consuming process. Unsurprisingly, most businesses invest between 2 and 5 hours to craft a single blog post. While bigger companies might have sufficient resources and personnel for content creation, this is different for small businesses. 

AI writing assistants are great for speeding up the content creation process. Essentially, it can save money and time during content creation for those small businesses that aim to scale their operation.

Bloggers who use AI spend about 30% less time creating a post

Bloggers who utilize AI can reduce the time they spend creating a post by approximately 30%. Although AI writing assistants can make you more effective, the time saved using such tools ultimately depends on how much you rely on AI technology. 

Not utilizing the latest technology in your business is a mistake. Nonetheless, overusing or relying on them too heavily can also hurt your business. AI can be a powerful ally that can complement rather than replace human capabilities

Finding the right balance and implementing AI solutions into your content creation can speed up processes but will not save you from adding real human input.

AI writing assistant reduces 80% of time spent on first drafts

Jasper AI claims that using an AI writing assistant can reduce the 80% of time spent crafting your first draft. They also say that businesses using Jasper for content creation can reach a 3.5x return on investment. 

Even though we should accept these numbers with reservations, it points out an important fact: outsourcing the most repetitive task to AI when creating content allows you to focus on the more critical task that requires human capabilities. 

73% of consumers trust content written by generative AI

Even though generative AI can provide increasingly accurate responses with time, some consumers still have trust issues. On average, about 27% of consumers trust content written by AI less than content written by humans.

Artificial intelligence statistics
Artificial intelligence statistics show that, on average, 73% of people trust content written by generative AI. Source: Capgemini Research Institute

AI coding assistant statistics

AI coding assistants are a valuable tool to support software developers. The machine learning functions help to reduce the time spent on code writing using autocomplete functionalities.

AI coding assistants can also help reduce the number of coding errors by providing instant feedback to the developers.

Developers can perform tasks 55,8% faster when using an AI coding assistant

According to Microsoft’s research, developers can carry out tasks 55.8% faster when utilizing an AI coding assistant. They selected a group with an average coding experience of 6 years and an average coding experience of 6 years and spent 9 hours coding daily.

Although the quality of the developer’s work was not measured, increasing their effectiveness by 55.8% seems pretty impressive, which can be a real competitive advantage. 

The same effect was confirmed in ARK’s Big Ideas report, where software engineers who employed GitHub Copilot for coding tasks saved a remarkable 55% of their time.

Artificial intelligence statistics in coding
Developers who use AI can perform tasks 55.8% faster. Source: LinkedIn

If we look at the output side, ARK is estimating a 10X increase in output by 2030. Experts predict the future of AI in coding will be a game-changer for developers. Although generative AI currently faces many challenges, considering these AI statistics, it will be revolutionary in coding. 

AI statistics in coding
Experts predict that AI coding assistants can have a 10X increase in the future. Source: LinkedIn

57% of developers using AI in coding

57% of developers have already started implementing AI coding assistants in their workflows. Adopting AI in coding can enhance productivity and code quality and reduce development time. 

Due to the machine learning of generative AI, it analyzes codebases, identifies patterns, and recommends code refactoring and optimization. Although it does not replace developers, taking advantage of AI coding assistants can significantly accelerate coding.

AI coding assistant expected to grow at a CAGR of 41.2% from 2021 to 2028

Estimates suggest that the AI coding assistant market will reach a compound annual growth rate (CAGR) of 41.2% between 2021 and 2028, ultimately achieving a market value of $2.3 billion by 2028.

One of the most affected industries of AI technology is coding. AI continues to improve code quality, reliability, and consistency to accelerate the coding process further.

According to these AI statistics, AI assistants will help streamline web development, simplify mobile app development, and allow developers to create complex software systems faster.

30% of developers believe that their development efforts will be replaced by artificial intelligence in the foreseeable future

Evans Data Corporation, a California-based market research firm specializing in software development, surveyed 550 developers regarding the effects of AI on coding. 30% of the 550 developers believe that artificial intelligence will replace them in the foreseeable future. 

While it is important to note that the developers expressed only their opinions during the survey, we can not overlook that AI uniquely transforms industries.

It is reasonable to anticipate AI’s impact on coding, but the question of whether it can entirely replace jobs and when this might happen remains open. One thing is certain: AI will transform, create, and potentially displace jobs. 

AI meeting and scheduling assistant statistics

An AI meeting manager and an AI meeting assistant are essentially the same. Like every AI assistant, an AI meeting manager uses artificial intelligence and machine learning, specifically generative AI technology.

AI meeting managers are seamlessly integrated with your meeting and video conferencing platforms. So you can use your favorite tools like Google Meet and Calendar, Microsoft Teams and Outlook, or Slack. 

Depending on the specific AI meeting manager, it generally helps you with the following tasks:

  • Recording meeting,
  • Taking notes,
  • Prepares meeting summaries,
  • Meeting analysis,
  • Automated meeting scheduling,
  • It helps you to find relevant information more easily in your meeting notes.

Businesses with over 100 employees spend an average of $420,000 per year on unproductive meetings

There is no doubt about how important meetings are in the business world. But what about the unproductive meetings?

According to Goldenstepsaba statistics, businesses with over 100 employees spend an average of $420,000 annually on unproductive meetings. AI meeting assistants can help in many ways to reduce wasted money and time to make businesses more productive.

Personalized schedule can save 40% of time

Reclaim says their AI scheduler tool can save 40% of the time by creating a personalized weekly schedule.

It is essential to note that the extent of time saved may differ significantly from person to person when using an AI scheduling assistant. Nevertheless, integrating such an AI assistant into your daily routine can make a difference in your daily routine. 

AI scheduling assistant can help you do 25% more tasks

Motion claims their AI scheduling assistant can help you do 25% more tasks. While time saved may vary depending on several factors, an AI assistant will make you more productive.

The real question lies in quantifying how much more you can accomplish using an AI assistant. 

Organizations can save an estimated $25,000 or more per employee per year by reducing unnecessary meeting attendance 

According to an report, businesses investing approximately $80,000 in AI meeting assistants can save $25,000 or more per employee per year by decreasing unnecessary meeting attendance. What does it mean for a business with 5,000 employees? 

Well, it would save an estimated $10 million per year by eliminating unnecessary meetings, based on the report. While AI adoption in online meetings can make a massive difference in the bigger companies’ cost savings, it can also be a great way to increase productivity and cost-effectiveness in a small business.

AI sales assistant statistics

AI sales tools use artificial intelligence to streamline and simplify the sales process. Artificial intelligence enables these tools to perform specific tasks, interact with humans, and predict behavior.

AI can help in many ways to sales teams, such as:

  • Analyze calls to improve sales teams’ performance,
  • Provide access to advanced data and analysis,
  • Sales forecasts,
  • More effective and personalized cold email outreach,
  • Price optimization.
artificial intelligence statistics in sales and marketing
Artificial intelligence stats show that businesses already use AI in sales. Source: HubSpot

451% increase in qualified leads when using marketing automation software

Annuitas Group’s study reveals that marketing automation can boost qualified leads by 451%.

Automating marketing and sales processes helps businesses to increase ROI and overall growth. And lead generation is an essential part of acquiring more customers. 

Task automation can boost productivity by at least 27%

Automating administrative and time-consuming tasks for sales representatives saves time and grows productivity by at least 27%.

It may sound too optimistic, but the truth is only 33% of inside sales-rep time is spent actively selling. The rest of their time is spent on administrative tasks and meetings.  

Third of all sales reps’ time and tasks can be automated

According to the same McKinsey’s report, a third of all sales reps’ time and tasks can be automated. Automating repetitive tasks is a good way for sales reps to focus on more critical tasks where the human factor is more important. 

97% of sales leaders say AI gives sales reps more time to sell

According to Salesforce, 97% of sales leaders confirmed that AI gives sales reps more time to sell. Using AI will decrease the time spent on administrative tasks like manual data entry so that sales reps can focus on clients more. 

14% of organizations utilize generative AI during marketing and sales processes

There is an explosive growth in the global AI market. The number of generative AI tools and applications is continuously increasing. In parallel, more and more businesses have started using advanced AI solutions.

Even though AI and machine learning will not impact every industry on the same level, AI adoption in marketing and sales is rising. McKinsey confirmed that 14% of organizations utilize generative AI for marketing and sales

While you would think these organizations are using specific AI sales tools, this is still not true. The most commonly reported uses of generative AI in sales and marketing are the following:

  • Crafting the first draft of documents,
  • Personalized marketing,
  • Summarizing text document,
  • Identifying trends. 

AI tools adaptation in sales is still in the early stages, and people mainly use some basic functions. However, there are already more applications of AI in sales to skyrocket sales performance.

29% of companies are already using or considering AI for marketing

Based on IBM’s report, 29% of companies already use or are considering using natural language processing (NLP) for marketing. When we consider both IBM’s and McKinsey’s reports together, there may be an estimated 10% to 15% of companies that have yet to implement AI but intend to do so in the future.

16% of organizations are utilizing AI tools for sentiment analysis

According to IBM, 16% of organizations are already using AI for sentiment analysis during sales and marketing. Each customer interaction has a wealth of information about customers’ feelings, opinions, and pain points.

Sentiment analysis leverages AI algorithms to examine these interactions, categorizing them into positive, negative, or neutral sentiments. By using AI, companies can easily better understand their customers. 

30% of outgoing marketing messages from global companies will be generated by AI by 2025

Gartner reported that AI will generate 30% of outgoing marketing messages from global companies by 2025. One of the significant advantages of generative AI is the ability to handle vast amounts of information. AI tools in sales already exploit this ability and help prepare more personalized emails. 

Deploying AI for marketing messages can help businesses scale campaigns and enhance click-through and conversion rates.

62% of consumers are comfortable with generative AI in marketing and advertising

As long as it does not negatively impact the consumers’ experience, 62% of consumers are comfortable with generative AI in marketing, advertising, and sales.

Although AI in sales and marketing can be a boost for businesses, they also need to be aware of the challenges of AI, which is data privacy. The next few years will probably not just be about AI technology advancement but also how it will be able to comply with regulations. 

82% of sales professionals are most likely to use generative AI for basic content creation 

According to Salesforce’s survey, many sales professionals (82%) use generative AI tools for simple content creation. Additionally, 74% reported using generative AI tools to analyze market data, and 71% were inclined to use such tools to automate sales communications.

AI personal (virtual) assistant statistics

An AI personal assistant is software designed to understand natural language voice and text commands and carry out tasks for the users.  

One of the most common types is the AI voice assistant. It has the ability of speech recognition by using smart speakers so that you can communicate with it in multiple languages. I am sure you have come across names like Google Assistant, Amazon’s Alexa, and Apple’s Siri before, as they are some of the most popular AI voice assistants out there.

Half of mobile users use voice assistants for search every day in the US 

Voice search continues to expand, with 50% of US mobile users using it daily, based on UpCity’s report. This trend showcases the increasing presence of AI-driven voice assistants in our daily routines.

Users primarily use digital voice assistants for searching for information, reminder setting, and sending text messages 

As per Artificial Intelligence Statistics, 92% of users utilize AI voice assistants for online searches, while 75% use them for setting reminders. Additionally, typical activities of voice assistant users include:

  • Ask AI virtual assistant to send text messages (73%),
  • Scheduling calendar events with AI-powered virtual assistant (69%),
  • Request the AI virtual assistant to draft memos and emails (61%),
  • Ask AI virtual assistant to place orders for products or services (57%).
AI voice assistant statistics
Digital voice assistants can carry out many tasks based on voice commands. Source: thesocialsheperd

Intelligent Personal Assistant Market Projected to Hit USD 83.66 Billion at a 34.13% CAGR by 2030 

Projections show that the AI-powered virtual assistant industry is ahead of a big boom (34.13% CAGR) and will reach a market size of $83.66 billion by 2030. Perhaps this is one of the fields that AI technology will entirely transform.

The growth of voice assistant’s user base decreased in 2022 (2.6%) compared to 2021 (2.9%)

In 2020, the user base of voice assistants in the US saw a massive boost, shooting up by 11.8%. However, the growth rate significantly slowed in 2021, with just a 2.9% increase in voice assistant users. The trend continued into 2022, with growth dropping to 2.6% compared to the previous year.

Internal data from Amazon revealed that about 15% to 25% of Alexa users stopped using Amazon’s Alexa roughly two weeks after activation. Amazon has cited consumers’ privacy concerns as the primary reason Alexa user retention is falling.

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