The market for artificial intelligence grew beyond 184 billion U.S. dollars in 2024, a considerable jump of nearly 50 billion compared to 2023. This staggering growth is expected to continue with the market racing past 826 billion U.S. dollars in 2030. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on a variety of factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Probabilistic AI: The Next Generation of Artificial Intelligence

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

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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

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.

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AI Market In Media And Entertainment Industry Size 2024-2028

The AI market in media and entertainment industry size is forecast to increase by USD 30.73 billion at a CAGR of 26.4% between 2023 and 2028. The market is experiencing significant growth, driven by the usage of multimodal AI to enhance consumer experience, analyze audience behavior, and automate content production. Multimodal AI, which combines text, speech, and visual data, is revolutionizing media and entertainment by enabling personalized recommendations, real-time sentiment analysis, and advanced content creation. Additionally, the utilization of blockchain technology is gaining traction in the industry, offering secure and transparent data sharing, and ensuring data privacy and security. Furthermore, the reliance on external sources of data to train AI models is a key trend, as media and entertainment companies seek to leverage diverse datasets to improve their offerings and stay competitive. These factors are expected to fuel market growth in the coming years.

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Artificial Intelligence (AI) is revolutionizing the media and entertainment industry by enhancing various applications, including game play, fake story recognition, plagiarism detection, production planning, talent discovery, and virtual creation. AI's integration in media and entertainment is enabling high-definition graphics, real-time virtual worlds, and internet video streaming on Ott platforms. In the gaming sector, AI is used to create intelligent opponents, personalize gameplay experiences, and analyze player behavior for sales and marketing purposes. Social media platforms leverage AI and Machine Learning (ML) for natural language processing to provide personalized content recommendations. AI is also transforming sports analysis by generating live footage and identifying patterns to enhance the online gaming experience. Overall, AI is a game-changer in the media and entertainment industry, offering innovative solutions in content creation, distribution, and consumption. Our 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.

Further, AI-powered rendering engines can create lifelike visuals by analyzing data from real-world environments and applying it to virtual creations. This not only enhances the viewing experience for consumers but also reduces production costs by allowing for more efficient and cost-effective production. AI is also being used to improve the online gaming experience. Real-time virtual worlds can be created using AI, allowing players to interact with each other and their environment in a better way. AI-generated live footage is also being used to enhance sports analysis, providing more accurate and detailed information to broadcasters and fans. In the realm of sales and marketing, AI is being used to analyze consumer behavior and preferences to create targeted marketing campaigns.

AI-powered chatbots can interact with customers, providing personalized recommendations and support. Additionally, AI can be used to analyze social media trends and identify potential marketing opportunities. In conclusion, AI is transforming the media and entertainment industry in numerous ways, from gameplay and talent discovery to high-definition graphics and sales and marketing. As AI and ML technologies continue to advance, we can expect to see even more innovative applications in this industry.

Market Segmentation

The market 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.

Technology

  Machine learning
  Computer vision
  Speech recognition


End-user

  Media companies
  Gaming industry
  Advertising agencies
  Film production houses


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Technology Insights

The machine learning segment is estimated to witness significant growth during the forecast period. The media and entertainment industry has witnessed significant advancements with the integration of artificial intelligence (AI) and machine learning (ML) technologies. ML, in particular, has been instrumental in revolutionizing video data management and analysis. One illustration of this trend is the latest developments in object storage solutions, such as those provided by Wasabi Technologies. These solutions incorporate AI and ML capabilities for automated tagging of video data, facilitating efficient storage in S3-compatible object storage systems.

Generative AI Market Share size and share are expected to exceed USD 283.37 billion by 2034, with a compound annual growth rate (CAGR) of 34.6% during the forecast period.

The multimodal AI market size is predicted to rise from $2.36 billion in 2024 to $93.99 billion by 2035, growing at a CAGR of 39.81% from 2024 to 2035.

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.

The causal AI market size is projected to grow from USD 63.37 million in 2025 to USD 1,628.43 million by 2035, representing a CAGR of 38.35%, during the forecast period till 2035.

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Conversational AI Market Size 2024-2028

The conversational AI market size is estimated to grow by USD 12.75 billion at a CAGR of 23.04% between 2023 and 2028. There is a notable rise in the utilization of natural language processing, machine learning, and AI technologies, driven by increasing smartphone adoption and the growing need for AI-driven customer support services. These technologies are witnessing significant growth due to their ability to enhance efficiency and accuracy in data processing, decision-making, and automation across various industries. The proliferation of smartphones has accelerated access to AI-powered applications, transforming how businesses interact with customers through intelligent virtual assistants and personalized services. Concurrently, the demand for AI-driven customer support continues to surge, fueled by the desire for responsive and efficient solutions that improve user experiences. This trend underscores a broader integration of AI technologies into everyday operations, promising advancements in communication, automation, and customer service delivery in the digital age.

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

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Market Dynamic and Customer Landscape

The market is experiencing significant growth due to the integration of advanced technologies such as generative AI, computer vision, and voice recognition. These technologies enable AI-powered chatbots and virtual assistants to effectively manage customer interactions across various industries, including patient care, administrative processes, retail, and telecommunications. The scalability and efficiency advantages of conversational AI have led to its widespread adoption, debunking common misconceptions about the limitations of chatbots. Accuracy is a crucial factor in delivering optimal user experiences, making Natural Language Processing (NLP) and conversational AI essential components. Deployment mode, such as cloud, further enhance the accessibility and flexibility of these solutions. However, data privacy and security remain key concerns, necessitating robust security measures to safeguard online interactions. In summary, the Conversational AI market is poised for continued growth, driven by advancements in AI, NLP, and conversational technologies, as well as the increasing demand for personalized, efficient, and secure customer service solutions. Our 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.

Key Market Driver

Growth in natural language processing (NLP), machine learning (ML), and AI technologies is notably driving market growth. Conversational AI has emerged as a game-changer in various industries, driven by advancements in Natural Language Processing (NLP), processing speed, and Machine Learning (ML) models. This technology, also known as Artificial Intelligence (AI), enables computers and AI-driven chatbots to understand and respond to human queries in a conversational manner. By replicating human thought processes through ML and neural networks, companies are enhancing online interactions and improving user experiences.

Conversely, conversational AI assists in retrieving accurate information, reducing human errors, and creating more precise analytic models. With the increasing deployment of conversational AI in both cloud and on-premise environments, data collecting devices have transformed into potent analytic tools. Customer expectations for personalized and efficient interactions continue to rise, making conversational AI an indispensable asset in industries such as automotive, where data privacy and security are paramount. Advanced AI techniques further augment the capabilities of conversational AI, enabling it to learn and adapt to user behavior, thereby creating a more human-like interaction. Thus, such factors are driving the growth of the market during the forecast period.

Significant Market Trends

Increasing need for customer engagement is the key trend in the market. The market is experiencing significant growth due to the escalating need for AI-driven customer support services. As competition intensifies, companies are prioritizing the retention of their customer base and the acquisition of new clients. To foster customer loyalty, businesses must offer engaging and consistent interactions through conversational AI.

Furthermore, with the convenience of online interactions, user experiences are paramount, and conversational AI facilitates efficient information retrieval. Advanced AI technologies, such as chatbots, are increasingly deployed in conversational AI systems to cater to customer expectations. Deployment modes, including cloud and on-premise, offer flexibility to busines

The quantum AI market size is projected to grow from USD 280 million in 2024 to USD 7,796 million by 2035, representing a CAGR of 35.29%, during the forecast period till 2035.

The Embedded AI Market Report is Segmented by Offering (Hardware and Software & Services), by Data Type (Sensor Data, Image, and Video Data, Numeric Data, Categorial Data, and Others), by End-User Vertical (BFSI, IT & Telecommunication, Retail & Ecommerce, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Other End-User Verticals), and by Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, and Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The size and share of the market is categorized based on Type (Hardware, Software, Services) and Application (Automated Systems, Chatbots, Voice Assistants, Collaborative Office, Network Monitoring, Data Analytics) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Stay Updated on Artificial Intelligence Market in Healthcare Sector trends, industry outlook and top suppliers with this comprehensive report from BIS Research

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Call Center Artificial Intelligence Market Size 2025-2029

The call center artificial intelligence (AI) market size is forecast to increase by USD 8.47 billion at a CAGR of 36.7% between 2024 and 2029.

In the call center industry, the integration of Artificial Intelligence (AI) is revolutionizing customer engagement solutions. The adoption of cloud-based call centers and machine learning technologies is a key driver for this market growth. Chatbots, a form of conversational AI, are increasingly being used to enhance turnaround times and improve customer experiences in e-commerce and logistics sectors. However, challenges persist in seamlessly integrating front-end and back-end knowledge bases, ensuring data analytics security, and implementing effective data analytics strategies. Natural language processing (NLP) and data analytics are essential components of AI in call centers, enabling CRM systems to provide more personalized services. The implementation of AI in call centers is expected to continue trending, as businesses prioritize enhancing customer experiences and streamlining operations.

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

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The market is experiencing significant growth as businesses seek to enhance customer engagement and streamline operations. AI technologies, including chatbots and autonomous virtual agents, are increasingly being adopted to handle customer queries on social media platforms and interactive voice response systems. The services segment is expected to dominate the market due to the growing demand for AI-enabled chatbots and virtual agents. Both on-premises and cloud deployment models are gaining traction, with the cloud deployment segment projected to grow at a faster rate due to its flexibility and scalability. The e-commerce segment is also a key driver of market growth, as AI is used to provide personalized customer experiences and improve logistics.
The IT and telecom, healthcare, and control compliance suite industries are also investing heavily in AI solutions to improve quality assurance technology and offer omnichannel solutions. Unsupervised self-learning algorithms are becoming increasingly important in call center AI, enabling more natural and intuitive interactions with customers. Overall, the market is poised for continued expansion as businesses continue to prioritize customer experience and operational efficiency.

How is this Call Center Artificial Intelligence (AI) 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 billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  BFSI
  Retail and e-commerce
  IT and telecom
  Media and entertainment
  Others


Channel

  Phone
  Chat
  Email or text
  Social media
  Website


Deployment

  On-premises
  Cloud


Source

  Large enterprises
  SMEs


Geography

  North America

    Canada
    Mexico
    US


  APAC

    China
    India
    Japan


  Europe

    Germany
    UK


  South America

    Brazil


  Middle East and Africa

By End-user Insights

The BFSI segment is estimated to witness significant growth during the forecast period. Call center artificial intelligence (AI) has become increasingly essential for businesses in various sectors, particularly in the BFSI industry, due to its large customer base and the rise of mobile technology. AI technologies, including chatbots, autonomous virtual agents, and AI-powered chatbots, have been adopted by financial institutions to enhance customer engagement and streamline operations. In the competitive financial services market, addressing customer queries promptly and effectively is crucial for customer satisfaction and cost reduction. Failure to do so can lead to missed cross-selling and up-selling opportunities and increased customer attrition.
AI technologies, such as natural language processing (NLP) and machine learning (ML), enable intelligent virtual assistants to handle customer queries and provide personalized solutions. Data analytics skills and cloud computing services are also integral to AI platforms. Security measures, including data ownership, privacy impact assessments, and security protocols, are essential considerations in implementing AI solutions. The solutions segment, which includes AI platforms, services, on-premises, and cloud deployment models, is expected to dominate the market. The e-commerce segment is also expected to witness significant growth due to the increasing use of AI-enabled chatbots and virtual agents for customer service.

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The BFSI segment was valued at USD 326.30 bil

[228+ Pages Report] The global artificial intelligence (AI) market size is expected to grow from USD 137 billion in 2022 to USD 1812 billion by 2030, at a CAGR of 38% from 2023-2030

The global generative AI market size reached USD 14.6 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 63.1 Billion by 2033, exhibiting a growth rate (CAGR) of 17.49% during 2025-2033. The increasing amount of generated data, the development of advanced machine learning techniques, expanding information technology (IT) sector and the rising product adoption across a wide range of industries are some of the major factors propelling the market.

IMARC Group provides an analysis of the key trends in each segment of the global generative AI market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on offering type, technology, and application.

After an in-depth analysis of the AI trading platform ecosystem, FMI recently published a new report. As per its findings, AI trading platforms are poised to scale heights never reached before.

Country-wise Insights

Category-wise Insights

Global Artificial Intelligence Market is estimated to reach at a Significant CAGR during the forecast period 2024-2031 | Datam Intelligence

The market size of the Artificial Intelligence Ai In Healthcare Market is categorized based on Application (Hospitals, Clinics, Research Institutions) and Product (Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.