Global Natural Language Processing (NLP) Market size was valued at USD 15.51 billion in 2021 and is poised to grow from USD 19.68 billion in 2022 to reach USD 112.28 Billion by 2030, at a CAGR of 24.6% during the forecast period 2023-2030.

Not every website can process complex search queries and voice searches. A 2021 study conducted on e-commerce sites in Nordic countries showed that only 11 percent of users would see results matching the entered online search query. Another 19 percent of online users stated that the returned results had relevance with the search, meaning that the interaction with users was partially successful. Most users confronted themselves with websites unable to differentiate between the different attributes of the query.

[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.

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.

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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 statistic shows a forecast of spending on robotic process, intelligent process, and artificial intelligence automation worldwide, from 2016 to 2021. In 2017, expenditure on AI and process automation is expected to reach 5.8 billion U.S. dollars globally. In this sense, artificial intelligence is autonomous decision-making by a system or systems designed to simulate human thought processes. The process involves self-learning systems improved through data mining, pattern recognition, and natural language processing.

Abstract copyright UK Data Service and data collection copyright owner.

The Department of Digital, Culture, Media and Sport's (DCMS) Office for Artificial Intelligence commissioned research to model current and future estimates of (i) the adoption of Artificial Intelligence (AI) technologies in the UK, and (ii) the expenditure on AI technologies and AI-related labour in the UK.

The associated report provides an assessment of the scale of AI activity in UK businesses and scenarios for growth over the next twenty years

To gather data on AI adoption and spending to inform the modelling in this study, a survey of private businesses was conducted in conjunction with YouGov.

The total survey sample was 2,019 private businesses, including 1,127 small businesses (55.8%), 291 medium businesses (14.4%) and 601 large businesses (29.8%). Respondents spanned all regions of Great Britain and all private sectors. Businesses in Northern Ireland have thus not been surveyed. After removing spurious responses, the identification process of which included an analysis of expenditure responses relative to firm size (in terms of turnover), the sample reduced to 2,009 quality responses.

The survey asks respondents whether they have adopted AI technologies (including the following six technologies: machine learning, natural language processing and generation, computer vision/image processing and generation, data management and analysis, hardware, and robotic process automation), how did they source these technologies, and their expenditure on these technologies and the associated labour expenditure.

The survey asked how businesses expected their expenditure on AI and AI-related labour to increase in the next year and next 5 years to support modelling the trajectory of AI expenditure in the UK.

The study data also includes variables related to the size of the business, the business sector, turnover, and main industry worked in.

In 2021, the market for artificial intelligence (AI) in marketing was estimated at 15.84 billion U.S. dollars. The source projected that the value would increase to more than 107.5 billion by 2028.

What is AI and who uses it?

Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around 327 billion U.S. dollars in 2021.

AI at the marketing wheel

AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than 80 percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly 50 percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.

Medical Coding Market size was valued at USD 31,170.85 Million in 2023 and is projected to reach USD 53,654.53 Million by 2031, at a CAGR of 8.07% from 2024 to 2031.

Global Medical Coding Market Overview

Global healthcare expenditure has been on a steady rise in recent years, driven by factors such as an aging population, the prevalence of chronic diseases, and the adoption of advanced medical technologies. The global expansion of healthcare services, including hospitals, clinics, and specialized medical facilities, increases the demand for accurate medical coding to manage billing, patient records, and healthcare analytics efficiently. According to American Hospital Association, there were around 33.67 million patient’s admissions in the 6120 hospitals in the United States. According to the OECD Health Statistics 2023, the USA leads with a health expenditure to GDP ratio of 16.6% in 2022, followed by Germany at 12.7% and France at 12.1%. In the USA, healthcare spending surged to USD 4.5 trillion in 2022, reflecting a 4.1% growth, outpacing the 3.2% increase in 2021, as reported by the U.S. Centers for Medicare & Medicaid Services. The rise in the number of insured individuals means more people are accessing healthcare services. As healthcare utilization increases, the demand for accurate medical coding to process insurance claims also grows. Hospitals and other healthcare providers are constantly seeking ways to improve their billing efficiency and reduce administrative costs.

Medical coding plays a vital role in this process by ensuring that claims are submitted accurately and reimbursed promptly. Efficient coding systems can help healthcare providers to reduce claim denials and delays in payments. The lack of skilled professionals is a significant restraint on the growth of the Global Medical Coding Market. The medical coding industry requires specialized knowledge and expertise to navigate the complex systems and continuously evolving coding guidelines. Healthcare organizations, which are the primary end-users of medical coding solutions, often struggle to maintain a sufficient pool of skilled medical coding professionals within their internal workforce. The adoption of advanced technologies such as artificial intelligence (AI), machine learning, and natural language processing (NLP) is revolutionizing the global Medical Coding Market, creating significant opportunities for growth and efficiency. As healthcare organizations continue to grapple with the challenges posed by the shortage of skilled medical coding professionals, the integration of innovative technological solutions has emerged as a promising avenue to enhance the efficiency and accuracy of the coding process.

The Global Chatbot Market is Expanding Due To Increasing Demand for Messaging Bot Applications and Businesses' Growing Adoption of Consumer Analytics. These AI Assistants, or Bots, Function As Digital Assistants, Using AI and Natural Language Processing To Understand and Respond To Human Needs. Automated Chatbots Integrated With Messaging Applications Enhance User Experience and Generate Higher Returns for Businesses. They Also Provide 24/7 Customer Support, Managing Large Volumes of Requests Simultaneously. The Conversational AI Market, Segmented by End-User Vertical and Geography, Shows Significant Growth in the Retail Sector and the Asia-Pacific Region.

Introduction

Virtual Assistant Statistics: A virtual assistant (VA) is an AI-powered software application designed to simulate human interaction and assist users in completing tasks, answering questions, and providing information or services.

They leverage technologies such as natural language processing (NLP), speech recognition, and machine learning to understand and respond to user inputs, whether typed or spoken.

Virtual assistants continue to evolve, becoming more sophisticated and integrated into various aspects of our lives. Their convenience and functionality make them a prominent part of the modern technology landscape.

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US Smart Home Speaker Market Size 2024-2028

The US smart home speaker market size is forecast to increase by USD 4.64 billion at a CAGR of 20.6% between 2023 and 2028.

The market is witnessing significant growth due to the increasing functionalities and automation capabilities of innovative devices. Voice-controlled devices, powered by virtual assistants and natural language processing, are revolutionizing digital life by offering hands-free convenience. 
The integration of artificial intelligence (AI) enhances user experience, enabling devices to learn and adapt to individual preferences. However, concerns over privacy and security threats associated with these devices may hinder market growth. As traditional speakers become obsolete, the demand for smart home speakers continues to rise, making it an attractive market for technology companies.

What will be the Size of the US Smart Home Speaker Market During the Forecast Period?

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The primary appeal of smart home speakers lies in their convenience. With built-in microphones and natural language processing capabilities, users can easily manage schedules, play music, and control other smart home devices without lifting a finger. Voice commands allow for hands-free operation, making these devices an essential addition to any home. Connectivity is another significant advantage of smart home speakers. These devices offer seamless integration with streaming music services, podcasts, audiobooks, and various entertainment platforms.
Moreover, these voice-controlled devices offer advanced functionalities, including media control, environmental management, and even security features. The integration of artificial intelligence (AI) further enhances their capabilities, enabling users to perform complex tasks and access information with ease. Traditional wireless Bluetooth speakers have become obsolete in the face of smart home speakers' versatility. These devices offer a more comprehensive user experience, combining the functionality of a speaker with the convenience of a virtual assistant and smart home controller. 

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Platform

  Amazon Alexa
  Google Assistant
  Others


Distribution Channel

  Online
  Offline


Geography

  US

By Platform Insights

The Amazon Alexa segment is estimated to witness significant growth during the forecast period.In the US market, smart home speakers have gained significant traction as a preferred platform for digital voice assistants. These cloud-based voice services have expanded their presence beyond smartphones, tablets, computers, and wearables, finding a niche in the smart home sector. The primary reason for this trend is the integration of digital voice assistants with IoT devices, enabling users to control various smart house functions with simple voice commands. Amazon Alexa is a prominent digital voice assistant that powers several smart home speakers, including Amazon's Echo, Echo Dot, Echo Plus, Echo Spot, Echo Show, Echo Look, and devices from third-party manufacturers.

Moreover, Amazon Alexa, a popular digital voice assistant, is integrated into various smart home speakers, including those manufactured by Amazon and third-party brands. Alexa's capabilities extend beyond basic voice control, allowing users to stream music, order groceries, check the weather, and even control connected home devices with ease. By providing hands-free convenience and seamless integration with various services, smart home speakers equipped with voice assistants have become indispensable tools for many US consumers.

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The Amazon Alexa segment was valued at USD 1.01 billion in 2018 and showed a gradual increase during the forecast period.

Our market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Market Driver

Rapidly increasing unit sales of smart home speakers is the key driver of the market. The smart home speaker market in the US has witnessed notable growth in recent years, with devices featuring advanced voice-activated assistants from Google and Amazon becoming increasingly indispensable for users. In 2021, these two tech giants, Amazon and Alphabet Inc. (Google), are expected to hold a significant market share in terms of smart home speaker shipments. Amazon, with its popular line of Alexa-enabled Echo devices such as the Echo Dot, led the market in Q3 2021, accounting for approximately 26% of the total smart home speaker sales.

The

Artificial Intelligence (AI) in Automotive Market size worth at USD 14.15 Billion in 2023 and projected to USD 734.97 Billion by 2032, CAGR of around 55.1% between 2024-2032.

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Machine Translation Market Size 2025-2029

The machine translation market size is forecast to increase by USD 1.5 billion at a CAGR of 16.6% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The increasing demand for content localization in various industries, such as e-commerce, education, travel, and others, is driving market growth. Additionally, the rising use of multilingual AI and chatbots in business applications is fueling the adoption of machine translation. Furthermore, the availability of open-source machine translation service tools is making it easier and more cost-effective for businesses to implement machine translation solutions. Deep learning and natural language processing technologies are also playing a crucial role in enhancing machine translation capabilities. Big data is another crucial factor, as it provides vast amounts of data for training machine translation models.
Overall, the market is poised for strong growth in the coming years.

What will be the Size of the Machine Translation Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for multilingual communication in various sectors, including e-commerce, travel, healthcare, and digital content. Artificial intelligence (AI), specifically deep neural networks and deep learning techniques, are driving advancements in MT, enabling more accurate and natural translations. The integration of MT with natural language processing (NLP) and translation theory is revolutionizing language localization, making it more accessible to internet users and non-professional linguists. Factors such as internet penetration, smartphone penetration, and communication infrastructure expansion are fueling the market's growth. Language service providers are leveraging big data and AI to offer more efficient and cost-effective MT solutions. Overall, the market is poised for continued expansion as the need for seamless multilingual communication in the digital age increases.

How is the Machine Translation Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud


Application

  Defense
  IT
  Automotive
  Healthcare


Technology

  SMT
  NMT
  RBMT
  HMT
  EBMT


Usage

  H2M translation
  M2M translation


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. The market has witnessed significant advancements in on-premises deployment, despite the rising popularity of cloud-based solutions. On-premises machine translation systems remain a preferred choice for certain industries and organizations due to their enhanced data security and control. Sectors such as healthcare, government, and finance, which handle sensitive information and have stringent data protection regulations, often opt for on-premises deployment. However, the increasing preference for scalable and cost-effective cloud-based solutions may pose challenges for the on-premises market. Key technologies driving market growth include artificial intelligence (AI), deep learning techniques, and neural networks.
Additionally, the increasing availability of language data, internet penetration, and smartphone usage have expanded the market's reach to various industries, including e-commerce, education, legal services, and travel. Machine translation solutions enable multilingual communication, multilingual content creation, and multilingual customer support, thereby enhancing business operations and customer engagement.

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The On-premises segment was valued at USD 403.90 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 30% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The North American market is experiencing significant growth, primarily driven by the US. With the increasing availability of big data and the need for multilingual communication, industries such as healthcare, IT, military and defense, and automotive are adopting machine translation services. 

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Machine trans

The AI market size in India was around 6.3 billion U.S. dollars in 2024. Among all the segments, machine learning had the largest share at 2.8 billion dollars. Artificial intelligence has been responsible for drastic changes in the technology sector where it can greatly improve productivity through process simplification and automation. It is also an integral part and one of the fundamental bases of Industry 4.0. IT industry in India The IT industry in India is a huge industry which consists of information technology services, consulting, and outsourcing. India’s IT services industry was born in Mumbai in 1967 when Tata Consultancy Services was established. India made up to more than 19 percent of the global IT spending in financial year 2021. Within the global IT industry, India is renowned for its IT outsourcing services, and with governmental support and foreign investments, the industry is also developing technologies relative to AI and IoT. AI technologies The main branches of an AI ecosystem are machine learning, robotics, artificial neural networks, and Natural Language Processing (NLP). In machine learning, software programs run through existing data, and apply the learned knowledge to new data or to predict data. In the field of robotics, it develops and trains robots for various applications. A prominent example is autonomous vehicles, though the level of autonomy varies, it was estimated that between 2024 and 2025, fully autonomous cars could be seen in the market.

The global artificial intelligence (AI) software market is forecast to grow rapidly in the coming years, reaching around 126 billion U.S. dollars by 2025. The overall AI market includes a wide array of applications such as natural language processing, robotic process automation, and machine learning.

What is artificial intelligence?

Artificial intelligence refers to the capability of a machine that is able to replicate or simulate intelligent human behaviours such as analysing and making judgments and decisions. Originated in the computer sciences and a contested area in philosophy, artificial intelligence has evolved and developed rapidly in the past decades and AI use cases can now be found in all corners of our society: the digital voice assistants that reside in our smartphones or smart speakers, customer support chatbots, as well as industrial robots.

Investments in AI

Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. When it comes to AI patent applications by company, Microsoft, IBM, Google, and Samsung have each submitted thousands of such applications, and funding for AI related start-ups are raking in dozens of billions of dollars each year.

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Regtech Market Size 2025-2029

The regtech market size is forecast to increase by USD 42 billion at a CAGR of 31.9% between 2024 and 2029.

The market is experiencing significant growth due to the increasing need for advanced fraud detection and prevention in the digital financial sector. This market is driven by the integration of artificial intelligence and blockchain technology, enabling enhanced data analytics and identity verification capabilities. 
Big data and cloud computing are also key enablers, providing the infrastructure for storing and processing vast amounts of information. The market trends include automation of regulatory processes, natural language processing for compliance, and education and training for a skilled workforce. However, challenges persist, such as data security concerns and the lack of a standardized regulatory framework.

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The market is a subsector of fintech that focuses on leveraging technology to enhance regulatory compliance and risk management In the financial services industry. With the increasing volume and complexity of financial transactions, including cross-border transactions, digital transfer platforms, electronic payments, and e-commerce, the demand for real-time compliance solutions has surged. 
Regtech solutions employ advanced technologies such as machine learning, artificial intelligence, and the Internet of Things to detect and prevent financial crimes, including money laundering and fraud. Regulatory bodies and financial authorities worldwide are driving the adoption of regtech through stricter regulations and increased focus on financial inclusion, stability, and transparency.
The market is witnessing significant growth, with both cloud deployment and on-premise solutions gaining traction. Regtech is transforming the financial sector by streamlining processes, reducing costs, and enhancing operational efficiency.

How is this Regtech Industry segmented and which is the largest segment?

The regtech industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Solutions
  Services


End-user

  Large enterprises
  Small and medium enterprises


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Component Insights

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

The market comprises a variety of software and platforms that cater to the regulatory compliance needs of businesses. These offerings aim to automate and enhance compliance processes, risk management, and adherence to regulatory requirements. Key RegTech solutions mitigate compliance risks through functionalities such as risk assessment, policy management, monitoring, and reporting. They enable proactive identification and resolution of potential regulatory issues. Regulatory reporting solutions automate the generation and submission of regulatory reports to financial authorities. They ensure accurate, timely, and compliant reporting for various financial transactions, including cross-border transactions, digital transfers, electronic payments, and financial transactions.

RegTech solutions cater to digital financial services, such as e-commerce, payment services, and digital financial institutions. They employ advanced technologies like machine learning, artificial intelligence, and blockchain to provide real-time compliance solutions, predictive analysis, identity verification, and fraud prevention. Compliance Management solutions provide regulatory intelligence, monitoring compliance, and consulting services. They help businesses stay updated on the latest financial regulations and ensure ongoing compliance with Anti-Money Laundering (AML), Counter-Terrorism Financing (CFT), and other financial crime prevention measures.

RegTech solutions offer security infrastructure to protect against financial crime and ensure data security. They provide cloud deployment and on-premise solutions for compliance status monitoring, risk management, and data security. These RegTech solutions play a crucial role In the digital transformation of industries like banking, energy and utilities, and other sectors, enabling financial inclusion, stability, and regulatory compliance.

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The Solutions segment was valued at USD 5.16 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analys

Machine learning received 401 investments in the Chinese AI industry in 2021. Other popular artificial intelligence skills include computer vision, data mining, and natural language processing.

In 2021, the artifical intelligence (AI) software market in Latin America is forecast to generate revenues of 1.34 billion U.S. dollars. The global market is estimated at nearly 35 billion. Artificial intelligence technologies are being used in a variety of situations across consumer, enterprise, and government markets. The term is currently used to refer to a variety of technologies, such as machine learning and natural language processing.

In 2023, the size of the Chinese AI market amounted to over 213 billion yuan. Since 2016, the market size has increased significantly. On the background of international competition, the Chinese government strived to make the country a leader in AI technology, designating the sector as a key industry of strategic importance. The foundation of AI To apply artificial intelligence in the real world, AI-sensors, AI-specific chipsets, and appropriate server infrastructure is required. Furthermore, software must be designed with algorithms that allow the AI to interact and perform tasks in the real world. Examples are natural language processing (NLP), computer vision, or robotics. Areas of application Artificial intelligence has seemingly unlimited application across all market segments. Currently, with around 50 percent of the market share, official city governance and operations accounts for the largest segment of the AI economy. In approximately 750 pilot cities, the Chinese government has been developing and testing smart city models.

The United States had by far the greatest amount of AI companies in major western economies in 2023, with around 15,000 companies engaging in the field. The EU was considerably behind, with only 6,000. The UK alone at nearly 9,000, a significant achievement in comparison to the immense economic size of its competitors.

Strong AI market

The AI market is expected to show considerable growth in the coming decade, expanding from 200 billion U.S. dollars in 2023 to nearly two trillion U.S. dollars in 2030. This market covers a vast number of industries, being involved in everything from supply chains, marketing, research, analysis, and numerous other fields. Chatbots, AI-producing art, mobile applications, and natural language processing are all major trends in the AI sphere.

Enterprises and AI

Both generative AI and machine learning, the most basic form of AI, are already in wide usage among companies worldwide. Commercial leaders still feel that their enterprises use these AI tools too little, with most companies using generative AI rarely and machine learning only sometimes. Machine learning, as the most common AI form, is used considerably more but this may shift as more advanced generative AI models spring into existence.