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.

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 AI Video Analytics Market is Segmented by End Users (Retail, Government, and Defense (including Public Safety), Critical Infrastructure, Transportation, Healthcare, and Consumers), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The AI analytics market is projected to register an exceptional CAGR of 22.60% during the forecast period, valued at US$ 29.11 billion in 2024, and is estimated to reach US$ 223.32 billion by 2034. The market is evolving due to the demand for analytics solutions helmed by technological improvements such as rapid speech and natural language processing.

Historical Performance and Future Growth Prognosis of the AI Analytics Market

Category-wise Insights

Country-wise Insights

Global AI Training Dataset Market size & share value expected to touch USD 12,993.78 million by 2032, to grow at a CAGR of 21.5% 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.

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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 artificial intelligence market is estimated to grow from $273.6 billion currently to $5,267 billion by 2035, at a CAGR of 30.84% during the forecast period, till 2035.

Report Scope:

Get detailed insights into the current valuation of Agentic Artificial Intelligence (AI) market size, including growth analysis, current market status and future market projections.

According to Cognitive Market Research, the global Artificial Intelligence in Retail market size is USD 4951.2 million in 2023and will expand at a compound annual growth rate (CAGR) of 39.50% from 2023 to 2030.

Enhanced customer personalization to provide viable market output
Demand for online remains higher in Artificial Intelligence in the Retail market.
The machine learning and deep learning category held the highest Artificial Intelligence in Retail market revenue share in 2023.
North American Artificial Intelligence In Retail will continue to lead, whereas the Asia-Pacific Artificial Intelligence In Retail market will experience the most substantial growth until 2030.

Enhanced Customer Personalization to Provide Viable Market Output

A primary driver of Artificial Intelligence in the Retail market is the pursuit of enhanced customer personalization. A.I. algorithms analyze vast datasets of customer behaviors, preferences, and purchase history to deliver highly personalized shopping experiences. Retailers leverage this insight to offer tailored product recommendations, targeted marketing campaigns, and personalized promotions. The drive for superior customer personalization not only enhances customer satisfaction but also increases engagement and boosts sales. This focus on individualized interactions through A.I. applications is a key driver shaping the dynamic landscape of A.I. in the retail market.

January 2023 - Microsoft and digital start-up AiFi worked together to offer Smart Store Analytics. It is a cloud-based tracking solution that helps merchants with operational and shopper insights for intelligent, cashierless stores.

Source-techcrunch.com/2023/01/10/aifi-microsoft-smart-store-analytics/

Improved Operational Efficiency to Propel Market Growth

Another pivotal driver is the quest for improved operational efficiency within the retail sector. A.I. technologies streamline various aspects of retail operations, from inventory management and demand forecasting to supply chain optimization and cashier-less checkout systems. By automating routine tasks and leveraging predictive analytics, retailers can enhance efficiency, reduce costs, and minimize errors. The pursuit of improved operational efficiency is a key motivator for retailers to invest in AI solutions, enabling them to stay competitive, adapt to dynamic market conditions, and meet the evolving demands of modern consumers in the highly competitive artificial intelligence (AI) retail market.

January 2023 - The EY Retail Intelligence solution, which is based on Microsoft Cloud, was introduced by the Fintech business EY to give customers a safe and efficient shopping experience. In order to deliver insightful information, this solution makes use of Microsoft Cloud for Retail and its technologies, which include image recognition, analytics, and artificial intelligence (A.I.).

Source-www.ey.com/en_gl/news/2023/01/ey-announces-launch-of-retail-solution-that-builds-on-the-microsoft-cloud-to-help-achieve-seamless-consumer-shopping-experiences

Market Dynamics of the Artificial Intelligence in the Retail market

Data Security Concerns to Restrict Market Growth

A prominent restraint in Artificial Intelligence in the Retail market is the pervasive concern over data security. As retailers increasingly rely on A.I. to process vast amounts of customer data for personalized experiences, there is a growing apprehension regarding the protection of sensitive information. The potential for data breaches and cyberattacks poses a significant challenge, as retailers must navigate the delicate balance between utilizing customer data for AI-driven initiatives and safeguarding it against potential security threats. Addressing these concerns is crucial to building and maintaining consumer trust in A.I. applications within the retail sector.

Impact of COVID–19 on the Artificial Intelligence in the Retail market

The COVID-19 pandemic significantly influenced artificial intelligence in the retail market, accelerating the adoption of A.I. technologies across the industry. With lockdowns, social distancing measures, and a surge in online shopping, retailers turned to A.I. to navigate the challenges posed by the pandemic. AI-powered solutions played a crucial role in optimizing supply chain management, predicting shifts in consumer behavior, and enhancing e-commerce experiences. Retailers lever...

Global Enterprise AI Market Size and Forecast

Global Enterprise AI Market size was valued at USD 10.52 Billion in 2024 and is projected to reach USD 158.81 Billion by 2031, growing at a CAGR of 47.16 % from 2024 to 2031.

Enterprise AI Market Drivers

Increased Data Generation: The exponential growth of data from various sources, including IoT devices, social media, and customer interactions, fuels the demand for AI-powered solutions to extract valuable insights.

Automation of Tasks: AI-powered automation tools can streamline repetitive tasks, reduce human error, and increase operational efficiency.

Enhanced Decision Making: AI algorithms can analyze vast datasets to identify patterns and trends, enabling data-driven decision-making.

Enterprise AI Market Restraints

Data Quality and Privacy Concerns: The quality and privacy of data are critical for AI models. Ensuring data accuracy, security, and compliance with regulations is a significant challenge.

Lack of Skilled Talent: The shortage of AI and data science experts can hinder the adoption and implementation of AI solutions.

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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.

Discover the booming Call Center AI Market, valued at USD 2.3 Billion in 2024, projected to reach USD 7.2 Billion by 2030, with a CAGR of 21% (2025-30)

Multimodal AI Market size was valued at USD 1.35 billion in 2024 and is projected to reach USD 5.6 billion by 2030. Along with a CAGR of around 32.91%.

[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 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.

Explore the detailed segmentation analysis of the Generative Artificial Intelligence (AI) market. Understand detailed breakdown for each segment and uncover market opportunities.

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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

Causal AI Market size was valued at USD 11.77 Million in 2024 and is projected to reach USD 256.73 Million by 2031, growing at a CAGR of 47.1% during the forecast period 2024-2031.

Causal AI also known as causal artificial intelligence is a significant innovation in the fields of artificial intelligence and machine learning that focuses on identifying and harnessing cause-and-effect linkages in data. Traditional AI models generally use correlation-based methods to detect patterns and generate predictions. While these methods can be quite useful in specific applications, they frequently fall short in situations where understanding the underlying causal mechanisms is critical. Causal AI overcomes this issue by incorporating principles from causal inference, a branch of statistics and philosophy that investigates how to infer causal correlations from data.

Causal AI is a huge leap in the field of artificial intelligence allowing us to go beyond correlation to discover the true drivers of observed occurrences. Its applications are broad and diverse including healthcare, finance, marketing, policymaking, operations, education, the environment, and social sciences. Causal AI improves decision-making and allows for the development of focused solutions to meet difficult situations by offering a richer grasp of causality.

Causal AI (Artificial Intelligence) has the potential to change a wide range of domains by providing more precise and actionable insights than typical machine learning models. Causal AI differs from traditional AI in that it focuses on understanding the cause-and-effect relationships underlying data rather than correlations and patterns. This change from correlation to causation is a huge step forward with the potential to improve decision-making processes make better forecasts, and maximize outcomes in a variety of industries including healthcare, finance, marketing, and others.