The global market size change in the 'Generative AI' segment of the artificial intelligence market was forecast to continuously decrease between 2024 and 2030 by in total 49.7 percentage points. After the sixth consecutive decreasing year, the market size change is estimated to reach 26.3 percent and therefore a new minimum in 2030. Notably, the market size change of the 'Generative AI' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the market size change in countries and regions like the market size change in the 'Computer Vision' segment of the artificial intelligence market in the world and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe. The Statista Market Insights cover a broad range of additional markets.

The market size change in the 'Generative AI' segment of the artificial intelligence market in the United States was forecast to continuously decrease between 2024 and 2030 by in total 49.7 percentage points. After the sixth consecutive decreasing year, the market size change is estimated to reach 26.3 percent and therefore a new minimum in 2030. Notably, the market size change of the 'Generative AI' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the market size change in countries and regions like the market size change in the 'Natural Language Processing' segment of the artificial intelligence market in the United States and the number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market in Nordics. The Statista Market Insights cover a broad range of additional markets.

According to Cognitive Market Research, the global Ai Training Data market size is USD 1865.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 23.50% from 2023 to 2030.

The demand for Ai Training Data is rising due to the rising demand for labelled data and diversification of AI applications.
Demand for Image/Video remains higher in the Ai Training Data market.
The Healthcare category held the highest Ai Training Data market revenue share in 2023.
North American Ai Training Data will continue to lead, whereas the Asia-Pacific Ai Training Data market will experience the most substantial growth until 2030.

Market Dynamics of AI Training Data Market

Key Drivers of AI Training Data Market

Rising Demand for Industry-Specific Datasets to Provide Viable Market Output

A key driver in the AI Training Data market is the escalating demand for industry-specific datasets. As businesses across sectors increasingly adopt AI applications, the need for highly specialized and domain-specific training data becomes critical. Industries such as healthcare, finance, and automotive require datasets that reflect the nuances and complexities unique to their domains. This demand fuels the growth of providers offering curated datasets tailored to specific industries, ensuring that AI models are trained with relevant and representative data, leading to enhanced performance and accuracy in diverse applications.

In July 2021, Amazon and Hugging Face, a provider of open-source natural language processing (NLP) technologies, have collaborated. The objective of this partnership was to accelerate the deployment of sophisticated NLP capabilities while making it easier for businesses to use cutting-edge machine-learning models. Following this partnership, Hugging Face will suggest Amazon Web Services as a cloud service provider for its clients.

(Source: about:blank)

Advancements in Data Labelling Technologies to Propel Market Growth

The continuous advancements in data labelling technologies serve as another significant driver for the AI Training Data market. Efficient and accurate labelling is essential for training robust AI models. Innovations in automated and semi-automated labelling tools, leveraging techniques like computer vision and natural language processing, streamline the data annotation process. These technologies not only improve the speed and scalability of dataset preparation but also contribute to the overall quality and consistency of labelled data. The adoption of advanced labelling solutions addresses industry challenges related to data annotation, driving the market forward amidst the increasing demand for high-quality training data.

In June 2021, Scale AI and MIT Media Lab, a Massachusetts Institute of Technology research centre, began working together. To help doctors treat patients more effectively, this cooperation attempted to utilize ML in healthcare.

www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/

Restraint Factors Of AI Training Data Market

Data Privacy and Security Concerns to Restrict Market Growth

A significant restraint in the AI Training Data market is the growing concern over data privacy and security. As the demand for diverse and expansive datasets rises, so does the need for sensitive information. However, the collection and utilization of personal or proprietary data raise ethical and privacy issues. Companies and data providers face challenges in ensuring compliance with regulations and safeguarding against unauthorized access or misuse of sensitive information. Addressing these concerns becomes imperative to gain user trust and navigate the evolving landscape of data protection laws, which, in turn, poses a restraint on the smooth progression of the AI Training Data market.

How did COVID–19 impact the Ai Training Data market?

The COVID-19 pandemic has had a multifaceted impact on the AI Training Data market. While the demand for AI solutions has accelerated across industries, the availability and collection of training data faced challenges. The pandemic disrupted traditional data collection methods, leading to a slowdown in the generation of labeled datasets due to restrictions on physical operations. Simultaneously, the surge in remote work and the increased reliance on AI-driven technologies for various applications fueled the need for diverse and relevant training data. This duali...

The AI market in Europe is expected to grow nearly 35 percent in 2024, a considerable growth for any market. This followed turbulent years of boom and bust from 2021 to 2023 where the market grew and contracted considerably. By 2030 the market will have dropped to just above 23 percent growth.

As per Cognitive Market Research's latest published report, the Global AI Enhanced HPC market size is $2,183.06 Million in 2024 and it is forecasted to reach $4,092.77 Million by 2031. AI Enhanced HPC Industry's Compound Annual Growth Rate will be 9.39% from 2024 to 2031. Market Dynamics of the AI enhanced HPC market

Market Drivers of the AI enhanced HPC market

Growing adoption of cloud computing is driving the demand for global AI enhanced HPC market.

The growing adoption of cloud computing has emerged as a pivotal driver in fuelling the demand for the global AI-enhanced High-Performance Computing (HPC) market. With its capacity to provide on-demand computer resources and services through the internet, cloud computing has emerged as a vital tool for companies and organizations all over the world. For instance, Cloud hosting and infrastructure are used by about 44% of regular small companies. This compares with 74% of corporations and 66% of small tech companies. In addition, in 2017 the adoption rate was 48.4%, and by 2020 it was 70.3%. The shift from traditional on-premises infrastructure to cloud-based solutions has provided up various opportunities for computing operations in terms of scalability, flexibility, and cost-effectiveness. Cloud service providers have placed themselves in a position to anticipate the changing needs of enterprises as the usage of AI-enhanced HPC rises. In response to the increasing demand for artificial intelligence-infused high-performance computing resources, they are making investments in advanced technology, improved infrastructure, and specialized services. According to Google Cloud Brand Pulse Survey, Q4 2022, in 2022, 26% of respondents stated they used several public clouds, up from 21% in 2021. Additionally, hybrid cloud usage rose from 25% to 42.5%. the growing adoption of cloud-based services would thus increase the application of AI Enhanced HPC.

Increasing emphasis on AI Enhanced HPC by the government agencies is fuelling the demand for the growth of the market.

Governmental organizations across the globe are increasingly prioritizing the incorporation of Artificial Intelligence (AI) innovations in the field of high-performance computing (HPC), which is experiencing an important shift. Realizing the significant impact that these technologies can have on scientific research, national security, and economic competitiveness has made the convergence of AI and HPC into a strategic imperative rather than just a market trend. For instance, HPC is used by the National Nuclear Security Administration (DOE/NNSA) of the US Department of Energy to safeguard nuclear weapons. Since the United States stopped conducting underground nuclear tests in the 1990s, HPC simulation and modeling have become essential. With 40 petaflops of HPC on next-generation Dell PowerEdge servers, Lawrence Livermore National Laboratory intends to start increasing processing power for its computational scientists this year, as well as those at Los Alamos and Sandia National Laboratories. Government organizations are realizing increasingly how crucial it is to be at the forefront of AI-Enhanced HPC capabilities because doing so directly contributes to advances in innovation and scientific research. Countries are investing more in AI enhanced HPC and thus is driving the demand for this market even more. For instance, China proposed an open-source ecosystem for smart manufacturing, precision farming, and precision medicine, along with AI+ HPC+ 5G-based digital twin platforms. In addition, to establish the UK as a global leader in AI with the new Isambard-AI supercomputer, the government invested £300 million, of which £225 million went to the University of Bristol. With more than 5,000 cutting-edge NVIDIA GH200 superchips, the new system will be the strongest supercomputer in the UK, able to perform 200 quadrillion computations per second.

Market Restraints

High cost of implementation is restraining the growth of global AI enhanced HPC market

The high implementation costs of AI are posing significant challenges to the growth trend of the global market for high-performance computing (HPC) enhanced by AI. The cost implications of adopting AI-infused HPC systems emerge as a difficult challenge for enterprises trying to boost their computational capabilities through the application of artificial intelligence. The complex process of integratin...

Snapshot img

Cloud Artificial Intelligence (AI) Market Size 2024-2028

The cloud artificial intelligence (ai) market size is forecast to increase by USD 12.61 billion at a CAGR of 24.1% between 2023 and 2028.

The market is experiencing significant growth, driven by the emergence of technologically advanced devices and the increasing adoption of 5G and mobile penetration. These factors enable the integration of AI technologies into various applications, leading to improved efficiency and productivity. However, the market also faces challenges from open-source platforms, which offer free AI solutions, making it difficult for market players to compete on price. Despite this, the market is expected to continue its growth trajectory, driven by the increasing demand for AI solutions in various industries, including healthcare, finance, and retail. Organizations are leveraging cloud-based AI solutions to gain insights from their data, automate processes, and enhance customer experiences.The market analysis report provides a comprehensive overview of these trends and challenges, offering valuable insights for stakeholders looking to capitalize on the growth opportunities In the cloud AI market.

What will be the Size of the Cloud Artificial Intelligence (AI) Market During the Forecast Period?

Request Free SampleThe market is experiencing robust growth, driven by the increasing adoption of machine learning (ML), deep learning, neural networks, and generative AI technologies. These advanced algorithms are revolutionizing various industries by emulating human intelligence in speech recognition, digital media, diagnostics, cybersecurity, and business decision-making. Hyperscale cloud platforms are becoming the preferred infrastructure for AI applications due to their ability to handle massive data processing requirements. Cloud AI solutions are transforming IT services by automating routine tasks, enhancing data analytics, and improving human capital management. They offer significant cost savings by eliminating the need for expensive hardware and maintenance. Moreover, AI-driven cloud management and data management solutions enable predictive analytics, personalization, productivity, and security enhancements.In addition, AI is playing a pivotal role in threat detection and cybersecurity, ensuring business continuity and data protection. Overall, the cloud AI market is poised for exponential growth, as organizations continue to leverage AI to gain a competitive edge In their respective industries.

How is this Cloud Artificial Intelligence (AI) Industry segmented and which is the largest segment?

The cloud artificial intelligence (ai) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentSoftwareServicesGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanSouth AmericaMiddle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) software replicates human learning and behavior, revolutionizing various business sectors. AI development involves creating new software or enhancing existing solutions to deliver analytics results and trigger actions based on them. Applications of AI include automating business processes, personalizing services, and generating industry-specific insights. The digitization trend has driven industrial transformations, with healthcare being a prime example. According to BDO's Healthcare Digital Transformation Survey, 93% of US healthcare organizations adopted digital transformation strategies in 2021, integrating AI, computing, and enterprise resource planning software. AI functionality encompasses speech recognition, machine learning (ML), deep learning, neural networks, generative AI, automation, decision-making, and more.Hyperscale cloud platforms, IT services, infrastructure, data analytics, human capital management, cost savings, cloud management, data management, predictive analytics, personalization, productivity, security, threat detection, integration, talent gap, and chatbots are significant AI applications. AI tools process data, power business intelligence, and enable lower costs through ML-based models and GPUs. Enterprise datacenters, virtualization, public clouds, private clouds, and hybrid cloud solutions leverage AI for non-repetitive tasks. AI streamlines workloads, automates repetitive tasks, monitors and manages IT infrastructure, and offers dynamic cloud services. AI is transforming industries, from retail inventory management to financial organizations, providing competitive advantages through cost savings and improved decision-making capabilities.

Get a glance at the Cloud Artificial Intelligence (AI) Industry repo

[204+ Pages Report] The global AI Recruitment market size is expected to grow from USD 610.3 million in 2021 to USD 890.51 million by 2028, at a CAGR of 6.5% from 2022-2028

According to Next Move Strategy Consulting the market for artificial intelligence (AI) is expected to show strong growth in the coming decade. Its value of nearly 100 billion U.S. dollars is expected to grow twentyfold by 2030, up to nearly two trillion U.S. dollars. The AI market covers a vast number of industries. Everything from supply chains, marketing, product making, research, analysis, and more are fields that will in some aspect adopt artificial intelligence within their business structures. Chatbots, image generating AI, and mobile applications are all among the major trends improving AI in the coming years.

Generative AI a growing market

In 2022, the release of ChatGPT 3.0 brought about a new awakening to the possibilities of generative artificial intelligence. A good understanding of this trend comes from observing the difference in interest in generative AI on Google, with interest growing rapidly from 2022 to 2023. It is to be expected that this interest will continue as both ChatGPT and others aim for updated chatbot versions in the future and further generative AI programs are in development.

Growing awareness in academia

AI has long been a fast-moving field, with specialists in academia having to keep up with rapid technological developments. Most specialist PhDs in North America, for example, go to work in the industrial sector, with barely half that number going to work in academia. Therefore, traditional academic writing on the topic of AI has consistently been behind the times, as the academic process takes time. A change in this trend can be observed as more and more publications on the topic come out.

As per Cognitive Market Research's latest published report, the Global Machine Learning market size was USD 24,345.76 million in 2021 and it is forecasted to reach USD 206,235.41 million by 2028. Machine Learning Industry's Compound Annual Growth Rate will be 42.64% from 2023 to 2030. What is Driving Machine Learning Market?

COVID-19 Impact:

Similar to other industries, the covid-19 situation has affected the machine learning industry. Despite the dire conditions and uncertain collapse, some industries have continued to grow during the pandemic. During covid 19, the machine learning market remains stable with positive growth and opportunities. The global machine learning market faces minimal impact compared to some other industries.The growth of the global machine learning market has stagnated owing to automation developments and technological advancements. Pre-owned machines and smartphones widely used for remote work are leading to positive growth of the market. Several industries have transplanted the market progress using new technologies of machine learning systems. June 2020, DeCaprio et al. Published COVID-19 pandemic risk research is still in its early stages. In the report, DeCaprio et al. mentions that it has used machine learning to build an initial vulnerability index for the coronavirus. The lab further noted that as more data and results from ongoing research become available, it will be able to see more practical applications of machine learning in predicting infection risk.

Machine Learning Market Drivers:

Growing use of the technology and automation is a major factor is expected to drive the growth of the global machine learning market. Increasing need of machine learning from the media and entertainment, automobiles, IT and telecommunications, education, and other government and non-government sectors are factors driving the growth of the global machine learning market over the forecast period. In October 2022, Bharat Electronics (BEL) announced the signing of an agreement with Meslova to develop products and services in artificial intelligence and machine learning to develop air defense (AD) systems and platforms for the armed forces. Meslova uses artificial intelligence to develop domain-specific products and applications for some of the largest governments and corporations. Increasing technology advancements to higher accuracy of systems coupled with demand of various system based on machine learning such as voice recognition systems, image recognition system and recommender systems which is expected to support the growth in the near future. Furthermore, introduction of self-driving automobiles and significant expenditures in AI is another factor expected to fuel the growth of the global market over the forecast year.

Machine Learning Market: Restraints

The lack of skilled and experienced employees in the machine learning is a major factor expected to decline growth of the target market to a certain extent. In addition, network hardware issues, delicate data security, and ethical allegations in the algorithms is expected to hamper growth of the potential market in the near future. However, the high deployment cost is another factor that could pose as a hindrance in the growth of global market.

Machine Learning Market: Opportunities

During covid 19, industries and organizations in almost all regions are using remote working and working from home. It increases the use of machines, smartphones and other technological devices. Schools, colleges, government and non-government sectors are using machines developed by AI systems. Therefore, according to the machine learning market forecast report, the technology and machine learning are in high demand and will increase in the future. Organizations and other organizational sectors are investing more in building A-based technologies to benefit the global market. These are the major machine learning market opportunities to watch during the forecast period. What is Machine Learning?

Machine learning (ML) is a subdivision of artificial intelligence (AI). It is a method of data analysis that teaches computers to learn from algorithms and data, quickly mimicking the way humans learn. The technique focuses primarily on developing a program that can access data and use it to learn for itself. Machine learning enables machines to learn directly from data, experience, and examples. Additionally, ma...

[219+ Pages Report] Global artificial intelligence market size & share projected a value of USD 299.64 Billionby 2026, and is growing at a CAGR value of 35.6% during 2021-2026.

Following turbulent years of growth and depression in the AI market, Germany's growth rate in the field is expected to stand at 35 percent in 2024. This growth will the continue, slowing down slightly as the decade wears on, from around 30 percent down to just over 20 percent by 2030.

Report Scope:

Market Analysis for Artificial Intelligence Services The global artificial intelligence (AI) services market is projected to reach a value of USD 459.9 million by 2033, exhibiting a compound annual growth rate (CAGR) of 5.6% during the forecast period (2025-2033). The market is driven by the increasing adoption of AI technologies across various industries, such as healthcare, manufacturing, and financial services. As organizations seek to enhance operational efficiency, improve customer satisfaction, and gain competitive advantage, the demand for AI services is expected to surge. Major trends influencing the market include the rise of cloud-based AI services, the growing adoption of machine learning and deep learning techniques, and the increasing emphasis on data security and privacy. The report highlights key market segments, including application areas (BFSI, healthcare, manufacturing, and others) and types (software tools and services). Key companies operating in the market, such as IBM, SAP, Google, and Amazon, are analyzed for their market share, product portfolio, and strategic initiatives. The report also provides a detailed breakdown of regional markets, including North America, Europe, Asia Pacific, and Middle East & Africa, examining the growth potential and competitive landscape in each region. The global artificial intelligence (AI) service market is expected to grow from $19.0 billion in 2021 to $46.9 billion by 2028, at a CAGR of 12.0%. The market growth is attributed to the rising adoption of AI-powered solutions across industries such as healthcare, retail, and banking. One of the key factors driving the growth of the AI service market is the increasing need for businesses to improve their operational efficiency and customer satisfaction. AI-powered solutions can help businesses automate repetitive tasks, improve decision-making, and provide personalized experiences to customers. Another factor contributing to the growth of the AI service market is the increasing availability of AI-powered software tools. These tools make it easier for businesses to develop and deploy AI solutions without having to invest in expensive hardware or hire specialized AI engineers. The market for AI is segmented by type, application, and end-user. By type, the market is segmented into software tools and services. By application, the market is segmented into BFSI, telecommunications and IT, retail and e-commerce, government and defense, healthcare, manufacturing, energy and utilities, construction and engineering, and others. By end-user, the market is segmented into large enterprises, small and medium-sized enterprises (SMEs), and individual consumers.

The Report Covers Global Artificial Intelligence Industry Report, Overview, and the Market is Segmented by Components (Hardware and Software and Services), by End-User Industry (BFSI, Fashion and Retail, Healthcare and Life Sciences, Manufacturing, Automotive, Aerospace and Defense, Construction, and Other End Users), by Geography (North America (United States, Canada), Europe (United Kingdom, Germany, France, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific), Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD Billion for all the Above Segments.

In 2023, the market size of large AI models in China increased by almost 84 percent, reaching an overall market size of 14 billion yuan. Large AI models play a crucial role in the industry, especially large language models, such as ChatGPT or Baidu's Ernie, are main segments of large AI models.

Artificial Intelligence (AI) in Healthcare Market Report is Segmented by Application Type (Medical Administration and Support, Patient Management, Research and Development, Other Applications), by Type (Hardware, Software, Services), and by Geography (North America, Europe, Asia Pacific, Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

In 2024, Artificial Intelligence Market was valued at $224.41 Billion and projected to reach $1236.47 Billion by 2030, due to increasing number of data globally.

Artificial Intelligence In Retail Market size was valued at USD 7.1 billion in 2021 and is poised to grow from USD 8.41 billion in 2022 to USD 45.74 billion by 2030, growing at a CAGR of 18.45% in the forecast period (2023-2030).

The AI market in Italy experienced turbulent growth and slump years between 2021 and 2023, shifting drastically. From 2024, however, the market is expected to grow at a steady rate between 30 and 20 percent until the end of the decade in 2030.

AI In Logistics And Supply Chain Market size was valued at USD 4450.64 Million in 2023 and is projected to reach USD 65039.34 Million by 2031, growing at a CAGR of 46.50% from 2024 to 2031.

Global AI In Logistics And Supply Chain Market Dynamics

The key market dynamics that are shaping the global AI In Logistics And Supply Chain Market include:

Key Market Drivers:
Increasing E-Commerce Adoption: The rapid growth in e-commerce, with US e-commerce sales expected to reach USD 870.8 Billion in 2021, up 14.2% from 2020, is pushing the demand for more efficient logistics and supply chain management. This spike presents complicated issues such as managing high-order quantities, ensuring timely deliveries, and handling returns. AI can assist address these difficulties by optimizing routes, automating warehouses, and forecasting demand, resulting in more efficient operations and more customer satisfaction.