GITNUX MARKETDATA REPORT 2024

AI Hardware Industry Statistics

The AI hardware industry is expected to continue growing rapidly due to increasing demand for AI technologies across various sectors.

Highlights: Ai Hardware Industry Statistics

  • By 2025, the global Artificial Intelligence hardware market is predicted to reach USD 50.67 billion.
  • The AI hardware market was worth USD 9.53 billion in 2020.
  • North America accounted for the largest share in the global AI hardware market in 2020.
  • Computer vision held the largest share in the AI hardware market in 2020.
  • The server segment is projected to grow at a CAGR of 42% during the forecast period 2020-2025.
  • The AI hardware market in Asia-Pacific is expected to grow at the highest CAGR during the forecast period.
  • More than 60% of data center computing will be AI-infused by 2025.
  • The AI hardware sector in Europe is expected to see a CAGR of 45% from 2020-2025.
  • Memory product segment accounted for the largest AI hardware market share in 2020.
  • Tech giant Intel holds the leading share in AI hardware market.
  • A total of $66 billion was spent globally on AI hardware, software, and services in 2020.
  • The Healthcare sector is expected to be the fastest-growing segment in the AI hardware market over the forecast period.
  • AI hardware for autonomous vehicles is projected to hold a 40% compound annual growth rate (CAGR) through 2025.
  • By the end of 2024, AI hardware market is expected to reach $115.4 billion.
  • AI chips market reached $10.10 Billion in 2020 and is expected to grow at a CAGR of 40% to reach $63.30 Billion by 2025.
  • The cloud deployment mode is expected to account for the largest share in AI hardware market by 2025.
  • In 2020, Nvidia held second place in the AI hardware market with a share of around 13.19%.

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The Latest Ai Hardware Industry Statistics Explained

By 2025, the global Artificial Intelligence hardware market is predicted to reach USD 50.67 billion.

The statistic states that the global Artificial Intelligence hardware market is projected to reach USD 50.67 billion by the year 2025. This forecast indicates a significant growth in the market for hardware components specifically designed for Artificial Intelligence applications. The increasing adoption of AI technology across various industries such as healthcare, financial services, and automotive is driving the demand for specialized hardware to support AI algorithms and applications. This statistic serves as an important indicator of the expanding role that Artificial Intelligence is playing in shaping the future of technology and highlights the potential economic opportunities in this rapidly evolving sector.

The AI hardware market was worth USD 9.53 billion in 2020.

The statistic ‘The AI hardware market was worth USD 9.53 billion in 2020’ indicates the total value of revenue generated within the AI hardware market during the year 2020. This figure represents the collective financial transactions associated with the production, sale, and distribution of hardware specifically designed and optimized for artificial intelligence applications. The size of the market suggests a significant demand for AI hardware solutions, reflecting the growing investments in advanced technologies and machine learning capabilities across various industries. It serves as a key metric for industry stakeholders, policymakers, and investors to assess the market’s growth, trends, and potential opportunities in the AI hardware sector.

North America accounted for the largest share in the global AI hardware market in 2020.

The statistic that North America accounted for the largest share in the global AI hardware market in 2020 indicates that North America was the region that contributed the most in terms of spending and adoption of AI hardware technologies during that year. This suggests a strong presence of companies, research institutions, and industries in North America that are investing in AI hardware for various applications such as machine learning, deep learning, and artificial intelligence algorithms. The dominance of North America in the global AI hardware market reflects the region’s focus on innovation, technological advancements, and leveraging AI to drive business growth and competitiveness.

Computer vision held the largest share in the AI hardware market in 2020.

In 2020, computer vision technology accounted for the largest portion of the AI hardware market share, indicating its significant impact and dominance within the industry. Computer vision involves the process of training computers to interpret and understand the visual world, enabling machines to perceive and analyze images or videos. This statistic suggests that the demand for hardware components specifically designed to support computer vision applications, such as GPUs, TPUs, and specialized processors, was particularly high in 2020. The growth of computer vision technology underscores its importance across various sectors, including healthcare, automotive, surveillance, and retail, driving the expansion of the AI hardware market.

The server segment is projected to grow at a CAGR of 42% during the forecast period 2020-2025.

This statistic indicates that the server segment, which includes hardware and software components used to store, manage, and process data in networks and information systems, is expected to experience a significant growth rate over the forecast period from 2020 to 2025. The Compound Annual Growth Rate (CAGR) of 42% reflects the average annual growth rate of the server segment’s revenue or market size during this period. Such rapid growth suggests increasing demand for server technologies driven by factors such as digital transformation, cloud computing adoption, big data analytics, and the Internet of Things (IoT). Organizations may be investing more in upgrading or expanding their server infrastructure to meet evolving technological requirements and support business operations, leading to the projected expansion of the server segment.

The AI hardware market in Asia-Pacific is expected to grow at the highest CAGR during the forecast period.

This statistic suggests that the market for artificial intelligence (AI) hardware in the Asia-Pacific region is projected to experience the highest Compound Annual Growth Rate (CAGR) compared to other regions over a specific forecast period. This implies that there is expected to be significant growth and increasing demand for AI hardware solutions in Asia-Pacific, driven by factors such as technological advancements, increasing adoption of AI technologies in various industries, and government initiatives supporting AI development. Businesses operating in the AI hardware market may benefit from targeting the Asia-Pacific region for expansion and investment opportunities to capitalize on this projected growth.

More than 60% of data center computing will be AI-infused by 2025.

The statistic “More than 60% of data center computing will be AI-infused by 2025” indicates that a substantial majority of computing activities in data centers will involve the integration of artificial intelligence technologies within the next few years. This suggests a significant shift towards leveraging AI capabilities to optimize data processing, analysis, and decision-making within data center environments. As AI continues to evolve and demonstrate its value in various industries, organizations are investing in integrating AI technologies into their data center operations to enhance efficiency, performance, and innovation. This statistic underscores the growing importance of AI in shaping the future of data center computing and highlights the potential benefits that AI-infused computing can bring to organizations.

The AI hardware sector in Europe is expected to see a CAGR of 45% from 2020-2025.

This statistic indicates that the artificial intelligence (AI) hardware sector in Europe is projected to experience a Compound Annual Growth Rate (CAGR) of 45% over the period from 2020 to 2025. A CAGR of 45% signifies a rapid rate of growth for the industry, suggesting that the market for AI hardware in Europe is expanding significantly and is expected to continue to do so in the coming years. This growth could be driven by increasing investments in AI technologies, advancements in hardware development, rising demand for AI applications across various industries, and government initiatives to promote AI innovation. Overall, this statistic underscores the potential for substantial growth and opportunity in the AI hardware sector in Europe in the near future.

Memory product segment accounted for the largest AI hardware market share in 2020.

The statistic indicates that in 2020, the memory product segment held the highest market share within the artificial intelligence (AI) hardware market. This suggests that a significant portion of the AI hardware market’s revenue and activity was generated by products related to memory, such as RAM and storage devices. The dominance of the memory product segment in the market reflects the critical role of memory in supporting AI technologies, which often require large amounts of data to be processed and stored efficiently. This statistic highlights the importance of memory products in driving the growth and development of AI hardware in 2020.

Tech giant Intel holds the leading share in AI hardware market.

The statistic ‘Tech giant Intel holds the leading share in AI hardware market’ indicates that Intel currently has the largest portion of the market for hardware components specifically designed for artificial intelligence (AI) applications. This suggests that Intel’s products, such as processors and specialized chips optimized for AI workloads, are preferred by organizations and individuals involved in AI development and deployment. As a result, Intel has positioned itself as a key player in the AI hardware market, potentially benefiting from the growing demand for AI technologies across various industries such as healthcare, finance, and autonomous vehicles.

A total of $66 billion was spent globally on AI hardware, software, and services in 2020.

The statistic stating that a total of $66 billion was spent globally on AI hardware, software, and services in 2020 highlights the significant and growing investment in artificial intelligence technologies across industries. This substantial amount of spending reflects the increasing adoption of AI-driven solutions by businesses and organizations seeking to leverage the benefits of automation, predictive analytics, and machine learning. The investment in AI encompasses a wide range of expenses such as purchasing AI hardware, software development, and the implementation of AI solutions and services. As AI continues to revolutionize various sectors, this statistic underscores the market’s enthusiasm and commitment towards integrating advanced technologies to drive innovation and competitive advantage.

The Healthcare sector is expected to be the fastest-growing segment in the AI hardware market over the forecast period.

This statistic suggests that within the AI hardware market, the healthcare sector is projected to experience the most rapid growth compared to other industry segments in the foreseeable future. This growth could be driven by various factors, such as the increasing adoption of artificial intelligence technologies in healthcare for tasks like diagnostic imaging, personalized medicine, predictive analytics, and robotic surgery. The healthcare sector’s investment in AI hardware is likely driven by the potential benefits it offers in terms of improving patient outcomes, enhancing operational efficiency, and reducing healthcare costs. It signifies a significant market opportunity for AI hardware providers catering to the healthcare industry, with substantial potential for innovation and technological advancements in this sector.

AI hardware for autonomous vehicles is projected to hold a 40% compound annual growth rate (CAGR) through 2025.

The statistic indicates that the market for AI hardware used in autonomous vehicles is expected to experience substantial growth over the next few years. Specifically, the compound annual growth rate (CAGR) of 40% means that the market size is projected to increase by an average of 40% each year from the present until 2025. This growth rate suggests a rapidly expanding market for AI hardware in autonomous vehicles, driven by advancements in technology, increased adoption of self-driving vehicles, and various industries such as automotive, tech, and transportation investing in this emerging technology. This projection highlights the significant opportunities and potential for innovation in the autonomous vehicle sector in the coming years.

By the end of 2024, AI hardware market is expected to reach $115.4 billion.

The statistic indicates that the AI hardware market is anticipated to grow significantly, reaching a value of $115.4 billion by the end of 2024. This denotes a substantial increase in the demand for hardware components that are specifically designed and optimized for artificial intelligence applications. The rise in AI hardware market value reflects the expanding adoption and integration of AI technologies across various industries such as healthcare, finance, manufacturing, and automotive sectors. As organizations increasingly invest in AI capabilities to improve efficiency, productivity, and decision-making processes, the demand for specialized hardware components to support these AI applications is poised to surge, driving the growth of the AI hardware market in the coming years.

AI chips market reached $10.10 Billion in 2020 and is expected to grow at a CAGR of 40% to reach $63.30 Billion by 2025.

The statistic indicates that the AI chips market generated $10.10 billion in revenue in 2020 and is projected to experience significant growth at a compound annual growth rate (CAGR) of 40% over the forecast period to reach $63.30 billion by 2025. This rapid growth suggests a strong demand for AI chips driven by various industries adopting artificial intelligence technologies. The substantial CAGR reflects the potential for continued innovation, advancements in AI applications, and increasing investments in AI infrastructure. The forecasted market size of $63.30 billion by 2025 highlights the expanding role of AI in shaping industries and driving technological evolution.

The cloud deployment mode is expected to account for the largest share in AI hardware market by 2025.

This statistic suggests that by 2025, cloud deployment mode is projected to dominate the AI hardware market, surpassing other deployment modes like on-premises and hybrid. This indicates a growing trend towards leveraging cloud infrastructure for AI hardware resources and services due to factors such as scalability, cost-efficiency, and accessibility. With organizations increasingly adopting AI technologies to enhance their operations and efficiency, the cloud deployment mode offers the flexibility and computing power required for leveraging AI applications without the need for significant on-site infrastructure investments. The forecasted dominance of cloud deployment in the AI hardware market showcases the evolving landscape of technology deployment preferences and reflects the growing importance of cloud computing in driving AI innovation and adoption across industries.

In 2020, Nvidia held second place in the AI hardware market with a share of around 13.19%.

In 2020, Nvidia held the second position in the AI hardware market, capturing approximately 13.19% of the market share. This statistic indicates that Nvidia was a significant player in the AI hardware industry, trailing behind the leading competitor with a notable portion of the market. Nvidia’s strong presence in the market suggests that their products and technology were in demand among consumers and businesses seeking artificial intelligence solutions. This data provides insight into the competitive landscape of the AI hardware market in 2020 and highlights Nvidia’s position as a key player in the industry.

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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