GITNUX MARKETDATA REPORT 2024

AI In The Definition Of Industry Statistics

The use of artificial intelligence in the collection, analysis, and interpretation of industry data to provide valuable insights and predictions.

Highlights: Ai In The Definition Of Industry Statistics

  • By 2025, the global AI market is expected to be almost $60 billion; in 2016 it was $1.4 billion. (
  • 77% of consumers are actually using AI platforms via voice assistants and online recommendation engines. (
  • It's predicted that the AI in manufacturing market will be worth over $16 billion by 2025. (
  • It is predicted that AI will increase business productivity by up to 40% by 2035. (
  • In 2020, 39% of businesses planned to invest in AI. (
  • Artificial intelligence could contribute up to $15.7 trillion to the global economy by 2030. (
  • Around 84% of organizations believe that investing in AI will lead to greater competitive advantages. (
  • AI can increase business outputs at 6X the rate of traditional automation methods. (
  • 47% of digitally mature organizations—those that have advanced digital practices—already have a defined AI strategy. (
  • Only 23% of businesses have incorporated AI into processes and service offerings today. (
  • By 2030, AI is predicted to add $15.7 trillion to the global GDP according to PWC. (
  • 35% of companies believe AI will have an impact within 1 to 3 years. (
  • McKinsey predicts Machine Learning, a subset of AI, as a key driver of new economic growth, with potential economic impact between $3.5 trillion to $5.8 trillion annually. (
  • By 2023, the projected AI software market revenue will be $126 billion globally. (
  • Over 50% of companies utilize AI to improve business efficiency and for automating tasks. (
  • By 2025, the AI in the fashion market is set to exceed $4 billion globally. (
  • AI in the logistics market is expected to reach $6.5 billion by 2023. (
  • Global spending on cognitive and AI systems will reach $57.6 billion in 2021. (

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Table of Contents

The Latest Ai In The Definition Of 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 signifies a remarkable growth trend in the global artificial intelligence (AI) market, with a significant increase from $1.4 billion in 2016 to an estimated nearly $60 billion by the year 2025. This growth reflects the rapid adoption and integration of AI technologies across various industries and sectors, driven by advancements in machine learning, data analytics, and automation. The projected substantial growth in the AI market indicates the increasing recognition of AI’s potential to revolutionize businesses, enhance efficiency, and drive innovation. The statistic also underscores the substantial investments being made in AI research and development, as organizations strive to leverage AI capabilities to gain a competitive edge in the digital era.

77% of consumers are actually using AI platforms via voice assistants and online recommendation engines.
(

The statistic that 77% of consumers are using AI platforms through voice assistants and online recommendation engines highlights the widespread adoption and integration of artificial intelligence technology in everyday consumer activities. This data suggests that a large majority of consumers are actively engaging with AI-powered tools to assist them in various tasks, from conducting voice searches and setting reminders with voice assistants to receiving personalized product recommendations online. The high percentage indicates a growing reliance on AI-enabled solutions to enhance convenience and efficiency in daily interactions, reflecting the trend towards increased AI utilization in modern society. This statistic underscores the significant role that AI plays in shaping consumer behavior and preferences in today’s digital age.

It’s predicted that the AI in manufacturing market will be worth over $16 billion by 2025.
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The statistic indicates a forecasted value for the AI in manufacturing market, estimating it to surpass $16 billion by the year 2025. This prediction suggests a significant growth trajectory for the market, reflecting the increasing adoption and integration of artificial intelligence technologies within the manufacturing industry. Factors driving this growth may include the benefits of AI such as improved efficiency, cost savings, predictive maintenance capabilities, and enhanced decision-making processes. As technological advancements continue to evolve and industries embrace the possibilities offered by AI, the market for AI in manufacturing is expected to expand considerably in the coming years, presenting opportunities for innovation and transformation within the sector.

It is predicted that AI will increase business productivity by up to 40% by 2035.
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The statistic that AI is predicted to increase business productivity by up to 40% by 2035 suggests a significant potential for technological advancements to impact efficiency and output in various industries. As artificial intelligence continues to advance and be integrated into business operations, it can streamline processes, automate tasks, and provide valuable insights through data analysis. This prediction indicates the transformative power of AI in optimizing resource allocation, decision-making, and overall performance, ultimately leading to substantial growth and competitive advantages for businesses that effectively leverage this technology. However, it is important to consider various factors such as implementation challenges, ethical considerations, and workforce adaptation in realizing this productivity increase.

In 2020, 39% of businesses planned to invest in AI.
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The statistic “In 2020, 39% of businesses planned to invest in AI” indicates that a substantial proportion of businesses recognized the potential benefits of artificial intelligence technology and were intending to incorporate it into their operations that year. This reveals a growing trend towards AI adoption among businesses as they seek to leverage its capabilities for various purposes such as automation, data analysis, and improving decision-making processes. The statistic highlights the increasing importance of AI as a strategic investment for businesses looking to stay competitive in a rapidly evolving technological landscape. By investing in AI, these businesses aim to streamline their processes, enhance customer experiences, and drive innovation in their respective industries.

Artificial intelligence could contribute up to $15.7 trillion to the global economy by 2030.
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The statistic indicates that artificial intelligence (AI) has the potential to substantially boost the global economy by adding an estimated $15.7 trillion by the year 2030. This significant contribution is mainly attributed to the positive impact of AI in various sectors such as healthcare, finance, manufacturing, and transportation. AI technologies have the ability to enhance efficiency, productivity, and innovation by automating tasks, providing insights from large datasets, and enabling advanced decision-making processes. As AI continues to evolve and become more integrated into businesses and societies worldwide, this statistic reflects the growing recognition of its transformative power to drive economic growth and create new opportunities for wealth generation across industries on a global scale.

Around 84% of organizations believe that investing in AI will lead to greater competitive advantages.
(

The statistic stating that around 84% of organizations believe that investing in AI will lead to greater competitive advantages reflects a widespread perception in the business landscape regarding the strategic importance of artificial intelligence. This high percentage indicates a strong consensus among organizations about the potential benefits that AI can bring in terms of enhancing competitiveness. Such beliefs likely stem from the proven ability of AI technologies to optimize operations, improve decision-making processes, boost productivity, and drive innovation. Organizations that embrace AI investments may expect to gain advantages such as cost savings, increased efficiency, enhanced customer experiences, and the ability to stay ahead of competitors through data-driven insights and predictive analytics. Overall, this statistic underscores the growing recognition of AI as a pivotal tool for achieving competitive success in various industries.

AI can increase business outputs at 6X the rate of traditional automation methods.
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The statistic that AI can increase business outputs at 6 times the rate of traditional automation methods suggests that the implementation of artificial intelligence technologies can lead to significantly greater improvements in efficiency and productivity compared to conventional automation techniques. This means that utilizing AI can potentially drive business performance to much higher levels and accelerate growth at a much faster pace than relying solely on traditional methods. The ability of AI to process large amounts of data, learn from patterns, and adapt to changing conditions enables businesses to make more informed decisions and optimize their processes in a way that surpasses what can be achieved through traditional automation methods, ultimately resulting in a substantial increase in outputs.

47% of digitally mature organizations—those that have advanced digital practices—already have a defined AI strategy.
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The statistic ‘47% of digitally mature organizations—those that have advanced digital practices—already have a defined AI strategy’ suggests that nearly half of organizations with advanced digital capabilities have proactively developed a strategic plan for implementing artificial intelligence within their operations. This finding underscores the importance of embracing AI technologies as part of digital transformation initiatives to stay competitive and drive innovation. The fact that a significant portion of digitally mature organizations have already adopted AI strategies implies that they are leveraging the potential benefits of AI, such as improved efficiency, customer personalization, and decision-making insights. This statistic highlights the strategic foresight of these organizations in embracing AI as a critical component of their digital roadmap and future success.

Only 23% of businesses have incorporated AI into processes and service offerings today.
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The statistic that only 23% of businesses have incorporated AI into their processes and service offerings today suggests that a relatively small percentage of companies have fully embraced AI technology in their operations. This could indicate a slower rate of adoption or hesitation among organizations to implement AI due to factors such as cost, complexity, or concerns about potential disruptions to existing processes. Companies that have integrated AI may be gaining a competitive edge through improved efficiency, innovative customer offerings, and data-driven decision-making. As AI continues to evolve and demonstrate its value across various industries, we may see more businesses move towards AI integration to stay relevant and competitive in the market.

By 2030, AI is predicted to add $15.7 trillion to the global GDP according to PWC.
(

The statistic claims that by the year 2030, Artificial Intelligence (AI) is projected to contribute approximately $15.7 trillion to the global Gross Domestic Product (GDP) as estimated by PricewaterhouseCoopers (PWC). This figure reflects the potential economic impact of AI technologies across various industries and sectors worldwide, indicating that AI has the capacity to significantly drive economic growth and generate substantial value. The prediction underscores the growing importance and influence of AI on businesses and economies, highlighting the transformational opportunities presented by AI in terms of enhancing productivity, innovation, and efficiency to propel overall GDP growth on a global scale.

35% of companies believe AI will have an impact within 1 to 3 years.
(

The statistic “35% of companies believe AI will have an impact within 1 to 3 years” indicates that a significant portion of companies surveyed are anticipating the adoption and integration of artificial intelligence (AI) technologies in their business operations within a relatively short timeframe. This suggests a growing recognition among businesses of the potential benefits and opportunities that AI can offer, such as improved efficiency, productivity, and innovation. The statistic also implies a sense of urgency among these companies to stay competitive and adapt to the rapidly evolving technological landscape. Overall, the data highlights a trend towards AI adoption and suggests that many businesses are actively preparing for the transformative impact of AI within the next few years.

McKinsey predicts Machine Learning, a subset of AI, as a key driver of new economic growth, with potential economic impact between $3.5 trillion to $5.8 trillion annually.
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The statistic from McKinsey predicts that Machine Learning, which is a subset of Artificial Intelligence (AI), will be a significant factor driving new economic growth. It suggests that the economic impact of Machine Learning could range between $3.5 trillion to $5.8 trillion annually. This indicates that the adoption and utilization of Machine Learning technologies across various industries have the potential to generate substantial economic value by improving efficiency, productivity, and innovation. The forecasted economic impact underscores the importance of investing in Machine Learning capabilities and incorporating them into business strategies to capture the associated economic benefits and drive growth in the future.

By 2023, the projected AI software market revenue will be $126 billion globally.
(

The statistic that by 2023, the projected AI software market revenue will be $126 billion globally indicates that the artificial intelligence software industry is expected to experience significant growth in the coming years. This suggests a strong demand for AI technologies and applications across various sectors such as healthcare, finance, retail, and manufacturing. The projected revenue figure serves as an estimation of the total value of AI software sales and services that are anticipated to be generated by companies worldwide by the year 2023. This statistic highlights the increasing importance of AI in driving innovation, efficiency, and competitiveness in businesses, signaling a trend towards greater adoption and investment in AI technologies on a global scale.

Over 50% of companies utilize AI to improve business efficiency and for automating tasks.
(

The statistic ‘Over 50% of companies utilize AI to improve business efficiency and for automating tasks’ indicates that a majority of companies have adopted artificial intelligence technology in their operations. This trend suggests that organizations recognize the potential benefits of AI in enhancing productivity, reducing costs, and streamlining processes. By leveraging AI for tasks such as data analysis, predictive modeling, and automation, businesses can gain a competitive edge and drive innovation. The widespread adoption of AI points to a growing acceptance of advanced technologies in the corporate world and highlights the increasing importance of harnessing data-driven insights for improved decision-making and performance.

By 2025, the AI in the fashion market is set to exceed $4 billion globally.
(

The statistic that AI in the fashion market is projected to exceed $4 billion globally by 2025 indicates a significant growth and adoption of artificial intelligence technologies within the fashion industry. This forecast suggests that businesses in the fashion sector are increasingly recognizing the potential benefits of leveraging AI for various applications such as trend forecasting, inventory management, personalization, and customer segmentation. The predicted growth in AI spending also signifies a shift towards data-driven decision-making and automation in the fashion industry to enhance operational efficiency, customer experience, and overall competitiveness. As technology continues to advance, it is likely that AI will play an increasingly integral role in shaping the future of the fashion market, driving innovation and driving business success.

AI in the logistics market is expected to reach $6.5 billion by 2023.
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The statistic that AI in the logistics market is expected to reach $6.5 billion by 2023 indicates the anticipated total value of artificial intelligence technology specifically within the logistics sector by that year. This figure reflects the significant growth and adoption of AI-driven solutions within the logistics industry, ranging from predictive analytics for supply chain optimization, automated warehouse management systems, autonomous vehicles for delivery, to route optimization algorithms. The projected increase in AI investment suggests that businesses are recognizing the potential for AI to improve efficiency, reduce costs, and enhance decision-making processes within logistics operations. This statistic provides insights into the growing impact and value of AI technology in revolutionizing the logistics industry in the near future.

Global spending on cognitive and AI systems will reach $57.6 billion in 2021.
(

The statistic stating that global spending on cognitive and AI systems will reach $57.6 billion in 2021 indicates the significant investment being made in technologies like artificial intelligence (AI) and cognitive computing systems. This substantial financial commitment reflects the increasing adoption and integration of AI technologies across various industries worldwide. Businesses are leveraging these advanced systems to drive efficiencies, enhance decision-making processes, improve customer experiences, and gain competitive advantages. The growth in spending on cognitive and AI systems highlights the ongoing transformative impact of these technologies on the global economy and underscores their potential to revolutionize how organizations operate and innovate in the digital age.

Conclusion

The integration of AI technology in the definition of industry statistics has opened up new avenues for data collection, analysis, and interpretation. This advancement has significantly enhanced the accuracy, efficiency, and relevance of statistical information across various sectors. As we continue to leverage AI tools in generating industry statistics, we are poised to gain deeper insights and make more informed decisions for improved business outcomes.

References

0. – https://www.www.statista.com

1. – https://www.www.narrativescience.com

2. – https://www.www.gminsights.com

3. – https://www.www.salesforce.com

4. – https://www.www.emarketer.com

5. – https://www.www.cmocouncil.org

6. – https://www.www.spiceworks.com

7. – https://www.www.mckinsey.com

8. – https://www.www.capgemini.com

9. – https://www.www.accenture.com

10. – https://www.www.pwc.co.uk

11. – https://www.www.idc.com

12. – https://www.fortune.com

13. – https://www.www.pwc.com

14. – https://www.www.globenewswire.com

15. – https://www.www.alliedmarketresearch.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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