GITNUX MARKETDATA REPORT 2024

Enterprise AI Industry Statistics

The Enterprise Ai Industry is projected to grow at a rate of approximately 42.8% annually from 2020 to 2027, reaching a market size of over $300 billion by the end of the forecast period.

Highlights: Enterprise Ai Industry Statistics

  • By 2025, the global enterprise AI market is projected to reach $51.08 billion, up from $4.68 billion in 2018.
  • The Compound Annual Growth Rate (CAGR) of the Enterprise AI market is expected to be 31.3% during the 2020-2027 forecast period.
  • In 2020, 79% of enterprises leveraging AI and machine learning said the technologies are becoming a core part of their business.
  • In 2019, the global Enterprise AI market size was valued at $4.68 billion.
  • Technology, media, and telecommunications industries are projected to account for around 33% of the total AI market in 2021.
  • Retail, banking, and healthcare are expected to be the most invest in AI systems.
  • In 2021, 50% of businesses spend more per year on AI powered chatbot development than mobile app development.
  • The enterprise software market, which includes AI, is projected to generate $575 billion in revenue in 2021.
  • By 2025, 4 out of 5 business processes and products would have been reinvented, changed, or augmented with AI.
  • The global AI software market is estimated to grow drastically, from 22.6 billion U.S. dollars in 2020 to 126 billion by 2025.
  • By 2023, it is expected that 60% of organizations will deploy AI multiple use cases, up from 18% in 2019.
  • Enterprise AI technology is most prevalent in North America, with a market share of 42.10% in 2020.
  • The enterprise data lake, where data on AI would be stored, is expected to grow to 1.8 zettabytes by 2025, up from 163 exabytes in 2016.
  • Investment into AI startups globally increased from $1.3 billion in 2010 to over $40.5 billion in 2018.

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The Latest Enterprise Ai Industry Statistics Explained

By 2025, the global enterprise AI market is projected to reach $51.08 billion, up from $4.68 billion in 2018.

The statistic indicates that the global enterprise artificial intelligence (AI) market is expected to experience substantial growth over the next few years, with projections showing a significant increase from $4.68 billion in 2018 to $51.08 billion by 2025. This rapid expansion suggests a growing demand for AI technology and solutions among businesses worldwide, driven by factors such as the need for improved operational efficiency, increased automation, and enhanced decision-making capabilities. The projected growth highlights the potential for AI to transform various industries and indicates the rising importance of AI in driving business innovation and competitiveness on a global scale.

The Compound Annual Growth Rate (CAGR) of the Enterprise AI market is expected to be 31.3% during the 2020-2027 forecast period.

The Compound Annual Growth Rate (CAGR) of 31.3% for the Enterprise AI market from 2020 to 2027 indicates the average annual growth rate over this forecast period. It reflects the exponential rate at which the market is expected to grow, taking into account the compounding effect of previous years’ growth. A CAGR of 31.3% suggests a strong and promising outlook for the Enterprise AI market, indicating significant opportunities for businesses operating in this sector to expand and capitalize on the growing demand for AI solutions and services within enterprises.

In 2020, 79% of enterprises leveraging AI and machine learning said the technologies are becoming a core part of their business.

The statistic stating that 79% of enterprises utilizing AI and machine learning in 2020 identified these technologies as a core part of their business indicates a significant trend towards the integration and adoption of advanced technologies in various industries. This high percentage suggests that AI and machine learning are increasingly being recognized as essential tools for driving business operations, improving efficiency, and enhancing decision-making processes. The statistic reflects a growing realization among enterprises of the value and competitive advantage that AI and machine learning can offer, highlighting a shift towards a future where these technologies are likely to play a central role in shaping business strategies and outcomes.

In 2019, the global Enterprise AI market size was valued at $4.68 billion.

The statistic stating that in 2019, the global Enterprise AI market size was valued at $4.68 billion reflects the total monetary value of artificial intelligence (AI) technologies and services utilized by businesses across the world for enhancing operational efficiency, decision-making processes, and customer experiences. This figure indicates the substantial investment made by enterprises in AI solutions to gain a competitive edge, improve productivity, and drive innovation. The market size value captures the broad scope of AI applications in various industries such as healthcare, finance, manufacturing, and retail, highlighting the growing significance of AI technologies in shaping the future of businesses on a global scale.

Technology, media, and telecommunications industries are projected to account for around 33% of the total AI market in 2021.

The statistic indicates that the technology, media, and telecommunications industries are expected to make up approximately one-third (33%) of the total artificial intelligence (AI) market in 2021. This suggests that these industries are heavily investing in and adopting AI technologies to enhance their operations and services. The significant share of the AI market attributed to these sectors reflects the increasing use of AI tools and applications such as machine learning algorithms, natural language processing, and automated systems to drive innovation, streamline processes, and improve customer experiences. The projected dominance of technology, media, and telecommunications industries in the AI market highlights the transformative potential of AI within these sectors and its growing importance in shaping the future of business practices and consumer interactions.

Retail, banking, and healthcare are expected to be the most invest in AI systems.

The statistic “Retail, banking, and healthcare are expected to be the most invest in AI systems” indicates that these three industries are forecasted to allocate significant financial resources towards implementing artificial intelligence technology. This likely reflects the growing trend of incorporating AI solutions to enhance operational efficiency, customer service, and overall decision-making processes within these sectors. By investing in AI systems, retail companies can personalize customer experiences, banking institutions can improve fraud detection and risk management, and healthcare providers can streamline patient care delivery and optimize treatment plans. Ultimately, these investments are anticipated to yield substantial benefits in terms of competitiveness, productivity, and innovation within the retail, banking, and healthcare industries.

In 2021, 50% of businesses spend more per year on AI powered chatbot development than mobile app development.

The statistic ‘In 2021, 50% of businesses spend more per year on AI powered chatbot development than mobile app development’ indicates that half of the businesses surveyed allocated a larger portion of their budget towards developing AI-powered chatbots compared to traditional mobile app development in the year 2021. This suggests a growing trend towards investing in AI technology for customer service and interaction over more traditional mobile applications. This shift may be driven by the increasing importance of personalized and efficient customer service experiences, as well as advancements in AI technology that make chatbots more sophisticated and effective in fulfilling business objectives. Ultimately, this statistic highlights the evolving landscape of technology investment within businesses and the increasing emphasis on AI-powered solutions for enhancing customer engagement and operational efficiency.

The enterprise software market, which includes AI, is projected to generate $575 billion in revenue in 2021.

The statistic indicates that the enterprise software market, which encompasses various technologies including artificial intelligence (AI), is anticipated to generate a significant revenue of $575 billion in the year 2021. This showcases the substantial impact and growth potential of enterprise software solutions across industries as organizations increasingly adopt these technologies to enhance efficiency, productivity, and decision-making processes. The inclusion of AI within this market highlights the growing importance of advanced technologies in driving innovation and competitiveness within businesses, indicating a trend towards increased investments in cutting-edge software solutions to meet the evolving needs of modern enterprises.

By 2025, 4 out of 5 business processes and products would have been reinvented, changed, or augmented with AI.

The statistic suggests that by the year 2025, a significant majority of business processes and products are expected to undergo transformation due to the integration of artificial intelligence technologies. Specifically, it indicates that 80% of these processes and products will be reinvented, changed, or enhanced with AI capabilities. This projection highlights the increasing trend towards the adoption of AI in various industries to streamline operations, improve efficiency, and enhance decision-making processes. The statistic underscores the pervasive impact that AI is expected to have on the business landscape in the near future, emphasizing the need for organizations to adapt and embrace AI technologies to stay competitive and relevant in the evolving digital environment.

The global AI software market is estimated to grow drastically, from 22.6 billion U.S. dollars in 2020 to 126 billion by 2025.

The statistic indicates a significant projected growth in the global AI software market, with an estimated increase from 22.6 billion U.S. dollars in 2020 to 126 billion by 2025. This represents a substantial growth rate over the five-year period, highlighting the rapid adoption and integration of AI technologies across various industries worldwide. The sizeable expansion of the market suggests increasing demand for AI software solutions, driven by factors such as advancements in AI capabilities, rising investments in AI technology, and the need for automation and efficiency in businesses. This growth projection underscores the transformative potential of AI in reshaping industries and economies, positioning it as a key driver of innovation and competitive advantage in the coming years.

By 2023, it is expected that 60% of organizations will deploy AI multiple use cases, up from 18% in 2019.

The statistic suggests a significant increase in the adoption of AI across organizations over the span of four years. In 2019, only 18% of organizations were utilizing AI for various applications, but by 2023, it is projected that this number will rise to 60%. This shows a three-fold increase in the implementation of AI technologies within organizational settings. The trend indicates a growing recognition of the benefits and potential of AI in improving efficiency, decision-making, and innovation across a wide range of industries. This shift towards AI deployment signifies a broader acceptance of artificial intelligence as a transformative tool for organizations looking to stay competitive and leverage the power of data-driven insights.

Enterprise AI technology is most prevalent in North America, with a market share of 42.10% in 2020.

The statistic indicates that Enterprise AI technology has the highest prevalence in North America in the year 2020, accounting for 42.10% of the market share. This suggests that North American businesses have been particularly receptive and eager to adopt AI technology within their enterprise operations, leveraging its capabilities to enhance efficiency, productivity, and innovation. The significant market share in North America reflects the region’s emphasis on technological advancements and readiness to invest in cutting-edge solutions to stay competitive in the global market. This statistic underscores the importance of AI technology in modern business practices and the leading role that North America is playing in its adoption and integration.

The enterprise data lake, where data on AI would be stored, is expected to grow to 1.8 zettabytes by 2025, up from 163 exabytes in 2016.

The statistic indicates a significant increase in the amount of data stored in enterprise data lakes, specifically data related to artificial intelligence (AI). The data lake is projected to grow to 1.8 zettabytes by 2025, a substantial leap from the 163 exabytes it held in 2016. This exponential growth reflects the expanding volume of data being generated and collected across organizations, with a specific focus on AI-related information. The implications of this growth suggest a heightened need for efficient data management and analytics capabilities to derive insights and value from the vast pool of data within the enterprise data lake, ultimately driving innovation and decision-making in the AI domain.

Investment into AI startups globally increased from $1.3 billion in 2010 to over $40.5 billion in 2018.

The statistic indicates a remarkable growth in investment into AI startups globally over the span of eight years, rising from $1.3 billion in 2010 to over $40.5 billion in 2018. This represents a substantial increase in financial support and interest in the field of artificial intelligence, reflecting the growing recognition of AI as a transformative technology with widespread potential applications across various industries. The significant surge in funding could be attributed to advancements in AI technologies, increased adoption by businesses, and the promising prospects for innovation and profitability in the AI sector. This escalation in investment underscores the heightened enthusiasm and confidence in the future of AI, indicating a shift towards leveraging its capabilities for addressing complex challenges and driving sustainable growth in the global economy.

References

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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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