Over the last two observations, the market size is forecast to significantly increase in all segments. As part of the positive trend, the market size reaches the maximum value for all three different segments at the end of the comparison period. Particularly noteworthy is the segment Speech-based NLP, which has the highest value of **** billion euro. Find further statistics on other topics such as a comparison of the market size change in Europe and a comparison of the market size in Israel.The Statista Market Insights cover a broad range of additional markets.

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 ** percent of users would see results matching the entered online search query. Another ** 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.

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

.xlsx file for the replication of the Paper The Complex Crises Database: 70 years of Macroeconomic Crises. It contains the term frequencies of 20 crises sentiment indexes computed from the IMF country report for the period 1956-2016 for 181 countries. (2021-07-02)

The AI in Food and Beverage Market Report is Segmented by Component (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Natural Language Processing, and Robotics and Automation), Application (Food Sorting and Grading, Quality Control and Safety Compliance, Production and Packaging Optimization, and More), by End User ( Food Processing Manufacturers, Beverage Manufacturers, and More), and by Geography.

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 AI In Social Media Market report segments the industry into Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), Application (Customer Experience Management, and more), Service (Managed Service, Professional Service), Organization Size (Small and Medium Enterprises, Large Enterprises), End-User Industry (Retail, and more), and Geography (North America, and more).

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 *** 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.

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

Snapshot img

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.

What will be the Size of the Regtech Market During the Forecast Period?

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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

The AI market size in India was around *** billion U.S. dollars in 2024. Among all the segments, machine learning had the largest share at *** 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 ** 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 *** 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.

In 2021, the artificial intelligence (AI) software market in Latin America is forecast to generate revenues of **** billion U.S. dollars. The global market is estimated at nearly ** 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 *** 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 ** percent of the market share, official city governance and operations accounts for the largest segment of the AI economy. In approximately *** 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 ****** companies engaging in the field. The EU was considerably behind, with only *****. The UK alone at nearly *****, 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 *** billion U.S. dollars in 2023 to nearly ************ 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.