--- title: "AI and ML in B2B: Stats and Trends for 2022" description: "Learn AI and ML in B2B: Stats and Trends for 2022 in this article" author: "HARIDHA P" published: 2022-10-10 canonical: https://www.mindstick.com/articles/331282/ai-and-ml-in-b2b-stats-and-trends-for-2022 category: "artificial intelligence" tags: ["artificial intelligence"] reading_time: 3 minutes --- # AI and ML in B2B: Stats and Trends for 2022 We believe AI and ML will take over the planet by 2022. You weren't asking for my opinion, were you? How about that, I believe you're rude. However, it's a prediction that might not be too far off. In fact, the worldwide AI and ML market is expected to be worth $190.61 billion by 2025. [AI](https://www.mindstick.com/articles/328023/artificial-intelligence-the-new-enemy-of-man) and ML and [machine learning](https://answers.mindstick.com/qa/39765/what-are-the-things-required-to-get-a-machine-learning-job-in-india) are technologies that will make [B2B and B2C marketing](https://yourviews.mindstick.com/view/83668/difference-between-b2b-and-b2c-marketing) more efficient, personalized, and simplified. However, we've noticed that marketer talents aren't keeping up. To prevent falling behind, it's critical to stay current on the [latest advancements](https://answers.mindstick.com/qa/113748/what-are-the-latest-advancements-in-renewable-energy-technologies-in-2025) and trends in the sector. After that, let's get started. ## Market development in the present and in the future 75% of businesses will move from piloting to operationalizing AI and ML, resulting in a 5X increase in streaming data and analytics infrastructure. - Every second, 127 devices connect to the internet. - The worldwide [Internet of Things](https://www.mindstick.com/articles/12647/why-security-analytics-is-so-important-for-the-success-of-the-internet-of-things) industry is estimated to expand to roughly 1.6 trillion dollars by 2025. - By 2025, the AI and ML business will generate $119 billion in revenue per year. - By 2030, the AI and ML business might be worth more than $15 trillion. - China will be the largest AI and ML market by 2030, accounting for 26% of the global AI and ML market share. - Currently, 80% of executives are boosting their attempts to automate corporate processes. - 25% of businesses now utilize AI and ML for [workflow automation](https://answers.mindstick.com/qa/102699/what-considerations-matter-when-using-google-s-cloud-composer-for-workflow-automation), with 51% AI and ML coming to do so soon. ## AI and ML-powered technology According to Gartner, public cloud services will be required for 90% of data and analytics innovation. - By 2025, the wearable [artificial intelligence](https://www.mindstick.com/services/artificial-intelligence) market will be worth $180 billion. - By 2023, there will be 8 billion voice assistants. - AI and ML powered voice assistants are used by 97% of mobile users. AI and ML Marketers AI and ML augmentation is expected to generate $2 trillion in commercial value by 2021. This amount is equivalent to 6 billion hours of labor output worldwide. The major hurdle to getting value from their big data solutions, according to 59% of respondents, is a 'shortage of [data science](https://www.mindstick.com/services/data-science) talent.' 80% of business and IT leaders believe AI and ML already [increase productivity](https://www.mindstick.com/articles/23166/modern-technological-gadgets-that-increase-productivity). Current AI and ML technology has the potential to increase corporate efficiency by up to 40%. When it comes to AI and ML adoption, 76% of CEOs are most concerned about the possibility of bias and a lack of transparency. According to 77% of CEOs, AI and ML automation would increase vulnerability and change the way they do business. Through 2022, 85% of AI and ML initiatives will produce incorrect results due to bias in data, algorithms, or the teams in charge of managing them. 40% of CEOs believe that technologies and knowledge are prohibitively pricey. 93% of automation technologists believe they are unprepared or only partially equipped to face the difficulties of smart machine technology. AI and ML are not used in the [tech](https://www.mindstick.com/services/technologies) stack of 63% of B2B marketers. --- Original Source: https://www.mindstick.com/articles/331282/ai-and-ml-in-b2b-stats-and-trends-for-2022 Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.