GITNUX MARKETDATA REPORT 2024

AI Services Industry Statistics

The AI services industry is projected to experience rapid growth in the coming years, driven by increasing demand for AI-powered solutions across various sectors.

Highlights: Ai Services Industry Statistics

  • By 2025, the global AI market is expected to be almost $60 billion; in 2016 it was $1.4 billion.
  • In 2021, the global AI services market was estimated to be worth around 14.7 billion U.S. dollars.
  • In North America, on average, 30% of tasks in 60% of jobs could be automated.
  • By 2030, AI is predicted to add up to $15.7 trillion to the global economy.
  • AI adoption in customer service increased from 42% to 49% in 2020 compared to the previous year.
  • By 2025, 95% of all customer interactions will be powered by AI.
  • 80% of AI adopters are using AI chatbots in their business operations.
  • By 2025, AI software market revenue worldwide is projected to grow to $126 billion.
  • AI in CRM activities will boost business revenue by $1.1T from 2017 to 2021.
  • By 2035, AI technologies can increase business productivity by up to 40%.
  • By 2030, AI will automate 50% of professional jobs in corporations.
  • By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries.
  • 47% of digitally mature organizations, or those that have advanced digital practices, said they have a defined AI strategy.
  • By 2022, banks will use AI to automate up to 90% of their customer interaction.

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The Latest Ai Services Industry Statistics Explained

By 2025, the global AI market is expected to be almost $60 billion; in 2016 it was $1.4 billion.

The statistic indicates a substantial growth projection for the global artificial intelligence (AI) market from $1.4 billion in 2016 to nearly $60 billion by 2025. This exponential increase demonstrates the rapid expansion and adoption of AI technologies across various industries worldwide. Factors contributing to this growth include advancements in AI capabilities, increased investment by companies, and growing awareness of the potential benefits of implementing AI solutions. The projection reflects a significant market opportunity for businesses involved in AI development, as well as the potential transformative impact AI could have on industries such as healthcare, finance, and technology in the years to come.

In 2021, the global AI services market was estimated to be worth around 14.7 billion U.S. dollars.

The statistic indicates that in 2021, the global market for artificial intelligence (AI) services had an estimated value of approximately 14.7 billion U.S. dollars. This value represents the total monetary worth of services related to AI technologies provided by companies worldwide within that year. The significant market size highlights the growing importance and adoption of AI across various industries and sectors as organizations leverage AI services for tasks such as data analysis, automation, and decision-making processes. The increasing investment and spending in AI services signal a continued trend towards the integration of AI technologies to enhance business operations, improve efficiencies, and drive innovation in the global market landscape.

In North America, on average, 30% of tasks in 60% of jobs could be automated.

This statistic suggests that in North America, there is significant potential for automation in the workforce, with an average of 30% of tasks across 60% of jobs being deemed automatable. This means that a substantial portion of job tasks across various industries and sectors could potentially be performed by machines or computer programs. The implication is that automation has the potential to significantly impact the labor market in North America, potentially leading to changes in job roles, skill requirements, and potentially displacing workers in certain roles. It highlights the importance of preparing for the ongoing automation trends and the need for upskilling and reskilling to adapt to the changing job landscape.

By 2030, AI is predicted to add up to $15.7 trillion to the global economy.

The statistic indicates that by the year 2030, the integration of artificial intelligence (AI) technologies into various industries and sectors is projected to contribute up to $15.7 trillion in economic value to the global economy. This prediction suggests that AI advancements will lead to increased efficiency, productivity, and innovation across businesses, leading to significant economic growth and potential cost savings. As AI continues to evolve and become more pervasive, it is expected to drive various benefits such as automation of tasks, personalized customer experiences, and improved decision-making capabilities. The substantial economic impact forecasted by 2030 underscores the transformative potential of AI in shaping the future of the global economy.

AI adoption in customer service increased from 42% to 49% in 2020 compared to the previous year.

The statistic indicates that the adoption of artificial intelligence (AI) in customer service saw a notable increase from 42% in the previous year to 49% in 2020. This suggests that businesses are increasingly recognizing the potential benefits of AI technology in enhancing customer service experiences. The rise in AI adoption could be attributed to the growing trend of automation and digital transformation in various industries, as companies seek to leverage AI capabilities to handle customer inquiries efficiently and provide more personalized and rapid responses. The data reflects a significant shift towards integrating AI tools and technologies into customer service operations, reflecting a strategic decision by organizations to improve customer interactions and overall service delivery.

By 2025, 95% of all customer interactions will be powered by AI.

The statistic “By 2025, 95% of all customer interactions will be powered by AI” suggests that artificial intelligence technologies will play a significant role in facilitating customer interactions in various industries. This prediction indicates a substantial shift towards automation and digital assistance in customer service, sales, and support. AI-powered tools and systems can help businesses improve efficiency, personalize customer experiences, and handle a large volume of interactions effectively. The statistic underscores the increasing adoption of AI technologies to streamline and enhance customer engagement processes, signaling a potential transformation in how organizations interact with their customers in the coming years.

80% of AI adopters are using AI chatbots in their business operations.

The statistic that 80% of AI adopters are using AI chatbots in their business operations indicates a widespread integration of chatbot technology among companies that have adopted artificial intelligence solutions. This high adoption rate suggests that AI chatbots are becoming increasingly essential tools for businesses seeking to enhance their customer service, streamline operations, and improve overall efficiency. The popularity of AI chatbots can be attributed to their ability to provide instant and personalized responses to customer queries, automate repetitive tasks, and deliver round-the-clock support. Ultimately, the statistic highlights the significant impact that AI chatbots are having on modern business operations, driving improved customer experiences and operational effectiveness.

By 2025, AI software market revenue worldwide is projected to grow to $126 billion.

The statistic states that by the year 2025, the revenue generated from the global artificial intelligence (AI) software market is expected to reach $126 billion. This implies a substantial increase in the adoption and utilization of AI technologies across various industries and sectors. The projected growth reflects the increasing recognition of the benefits of AI in improving efficiency, productivity, and decision-making processes. Businesses are likely investing heavily in AI software solutions to enhance their operations, customer service, and overall competitiveness in the market. The statistic underscores the significant role that AI is expected to play in shaping the future of technology and business landscapes.

AI in CRM activities will boost business revenue by $1.1T from 2017 to 2021.

The statistic suggests that the integration of Artificial Intelligence (AI) in Customer Relationship Management (CRM) activities is projected to significantly enhance business revenue by an estimated $1.1 trillion from 2017 to 2021. This implies that businesses utilizing AI in their CRM processes can expect substantial growth and increased profitability over the specified timeframe. AI technologies in CRM can facilitate improved customer interactions, personalized marketing strategies, efficient data analysis, and predictive modeling, ultimately leading to enhanced customer satisfaction, retention, and overall revenue generation opportunities for businesses across various industries.

By 2035, AI technologies can increase business productivity by up to 40%.

The statistic that by 2035, AI technologies can increase business productivity by up to 40% suggests the potential transformative impact that artificial intelligence can have on various industries. This prediction indicates that businesses that successfully integrate AI technology into their operations stand to significantly improve their efficiency and output levels. By automating repetitive tasks, streamlining processes, and generating insights from large volumes of data, AI technologies can enhance decision-making processes, optimize resource allocation, and drive innovation. As a result, businesses that adopt AI strategies strategically and effectively may experience a substantial boost in productivity, ultimately leading to improved competitiveness and growth opportunities in the rapidly evolving digital economy.

By 2030, AI will automate 50% of professional jobs in corporations.

The statistic that by 2030, AI will automate 50% of professional jobs in corporations implies a significant transformation in the workforce landscape driven by advancements in artificial intelligence technology. This prediction suggests that half of the tasks currently performed by professionals within corporate environments will be automated by AI systems, leading to potential displacement of workers and a shift in job roles. Corporations are likely to adopt AI technologies to streamline operations, boost efficiency, and reduce costs, creating both challenges and opportunities for employees to adapt to this changing environment, upskill in new areas, and collaborate with AI systems to maximize productivity and innovation. The statistic underscores the importance of preparing the workforce for the future of work in an increasingly automated and digital economy.

By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries.

The statistic suggests that by the year 2025, artificial intelligence (AI) systems are projected to have a wide-reaching presence within the healthcare industry. Specifically, AI technologies are anticipated to play a crucial role in various aspects of healthcare, ranging from population health management to providing personalized assistance to individual patients. This could involve utilizing AI algorithms to analyze large volumes of healthcare data to improve the overall health outcomes of populations, as well as developing virtual avatars equipped with AI capabilities to address specific health-related questions and concerns from patients. Overall, the statistic highlights the increasing integration of AI technologies in healthcare settings, aiming to enhance efficiency, effectiveness, and engagement in patient care and management.

47% of digitally mature organizations, or those that have advanced digital practices, said they have a defined AI strategy.

The statistic shows that among digitally mature organizations, defined as those with advanced digital practices, 47% reported having a clear and established strategy for implementing artificial intelligence (AI) within their operations. This suggests that a significant proportion of such companies have identified AI as a valuable tool for driving digital transformation and are actively planning and implementing strategies to leverage AI technology within their business operations. The finding underscores the importance of having a structured approach towards AI adoption and integration, especially for organizations that have already demonstrated a high level of digital maturity.

By 2022, banks will use AI to automate up to 90% of their customer interaction.

This statistic suggests that by the year 2022, banks are projected to significantly increase their use of artificial intelligence technology to automate the majority of customer interactions. The implementation of AI in banking operations is expected to enhance efficiency by streamlining customer service processes and reducing the need for manual intervention. This automation may include chatbots for answering basic customer inquiries, personalized recommendations for financial products, and automated transaction monitoring for fraud detection. By leveraging AI, banks can potentially improve customer experience, reduce costs, and allocate resources more effectively, thereby transforming the way they interact with and serve their customers in the coming years.

Conclusion

After examining the latest statistics in the AI services industry, it is evident that the sector is experiencing rapid growth and widespread adoption across various sectors. The data highlights the increasing demand for AI solutions and services, showcasing the immense potential for further expansion and innovation in this dynamic field. With the continuous evolution of technology and the growing investment in AI, businesses and organizations can leverage these insights to capitalize on opportunities and drive transformative change in the digital landscape.

References

0. – https://www.www.accenture.com

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2. – https://www.www.forbes.com

3. – https://www.www.mckinsey.com

4. – https://www.blog.hubspot.com

5. – https://www.www.statista.com

6. – https://www.learn.g2.com

7. – https://www.www2.deloitte.com

8. – https://www.thenextweb.com

9. – https://www.www.pwc.com

10. – https://www.sloanreview.mit.edu

11. – https://www.www.technologynetworks.com

12. – https://www.fortune.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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