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%.

According to Cognitive Market Research, the global Artificial Intelligence in Marketing Market size is USD 12.7 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 23.8% from 2024 to 2031.

Market Dynamics of Artificial Intelligence in Marketing Market

Key Drivers for Artificial Intelligence in Marketing Market



  Increasing demand for predictive analysis - AI can predict consumer behavior, such as purchasing habits and churn rates. This enables marketers to anticipate customer requirements and preferences, allowing them to solve concerns and provide relevant solutions ahead of time. AI allows marketers to provide highly tailored information and offers to individual customers based on their interests, purchasing history, and behavior. Personalization improves consumer engagement, contentment, and loyalty, resulting in more conversions and revenue. As a result, the market is growing due to increased demand for personalization and predictive analytics.


  Rapid adoption of artificial intelligence in the healthcare Application




Key Restraints for Artificial Intelligence in Marketing Market



  Cost and data privacy issues


  Maintaining data privacy and security concerns

Introduction of the Artificial Intelligence in Marketing Market

Artificial intelligence (AI) in marketing is the incorporation of advanced algorithms and machine learning techniques into various marketing processes and tactics. This cutting-edge technology lets businesses to use data-driven insights, automate repetitive operations, and provide personalized experiences to their target audience, resulting in higher customer engagement, efficiency, and ROI. AI's applicability in marketing is diverse, ranging from monitoring consumer behavior and predicting trends to optimizing ad campaigns and improving customer service. The growing usage of artificial intelligence and machine learning to provide social networking platform acceptance, tailored consumer experiences, and the growth of e-commerce are the main drivers driving the market's development.

The global artificial intelligence market size was valued at USD 115.62 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 854.51 Billion by 2033, exhibiting a CAGR of 23.64% from 2025-2033. North America currently dominates the market, holding a market share of over 30.6% in 2024. The growth of the North American region is driven by technological innovation, robust infrastructure, strong governmental support, and increasing investment in research and development (R&D).

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on type, offering, technology, system, and end-use industry.

The global AI governance market size is projected to grow from USD 175.32 million in 2023 to USD 4,797.50 million by 2032, at a CAGR of 44.50%.

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)

According to Cognitive Market Research, the global AI recruitment market size will be USD 684.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 7.2% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 273.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 205.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 157.37 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.2% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 34.21 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 13.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.9% from 2024 to 2031.
The BFSI category is the fastest growing segment of the AI recruitment industry

Market Dynamics of AI Recruitment Market

Key Drivers for AI Recruitment Market

Rising Demand for Bias-Free Recruitment to Boost Market Growth

The rising demand for bias-free recruitment is driving the growth of the AI recruitment market. Organizations increasingly seek to enhance diversity and inclusion in hiring processes by utilizing AI tools that minimize unconscious bias. These technologies analyze candidate data objectively, focusing on skills and qualifications rather than demographic factors. This shift not only promotes fairer hiring practices but also improves overall organizational performance. As companies prioritize equitable recruitment, the adoption of AI solutions will likely accelerate, fostering a more diverse workforce while meeting regulatory and societal expectations for fairness. For instance, in March 2024, Bullhorn launched its new AI solution, Bullhorn Copilot. Bullhorn Copilot will span the entire Bullhorn platform, beginning with Copilot Starter, a set of generative AI capabilities embedded directly in recruiters’ ATS/CRM.

Growing Use of Video Interviewing to Drive Market Growth

The growing use of video interviewing in the AI recruitment market enhances the hiring process by enabling remote assessments and real-time evaluations. Video interviews, powered by AI, facilitate better candidate screening through automated analysis of body language, tone, and facial expressions, leading to more informed hiring decisions. This technology not only streamlines the recruitment process but also improves the candidate experience by offering flexibility and convenience. As organizations increasingly prioritize efficiency and diversity, the integration of video interviewing in AI recruitment strategies is expected to expand significantly.

Restraint Factor for the AI Recruitment Market

Data Privacy Issues Will Limit Market Growth

Data privacy issues in the AI recruitment market arise from the collection and processing of sensitive candidate information. With regulations like GDPR enforcing strict data protection laws, companies must ensure compliance to avoid hefty fines. The use of AI often involves analyzing vast amounts of personal data, which can lead to concerns about consent, data security, and potential misuse. Additionally, candidates may be wary of how their information is used and shared, impacting their willingness to engage with AI-driven recruitment processes. Balancing efficiency with privacy is crucial for market growth.

Impact of Covid-19 on the AI Recruitment Market

The COVID-19 pandemic significantly accelerated the adoption of AI recruitment technologies as companies sought to adapt to remote hiring processes. With physical interviews and traditional hiring methods restricted, organizations turned to AI-driven tools for efficient candidate screening, virtual interviews, and data analysis. This shift not only improved hiring speed and efficiency but also addressed the need for contactless solutions. However, it also highlighted challenges such as biases in algorithms and the necessity for human oversight, emphasizing the importance of balancing technology and personal interaction in recruitment practices. Introduction of the A...

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.

According to Cognitive Market Research, the global geospatial analytics artificial intelligence market size is USD 100.5 million in 2024 and will expand at a compound annual growth rate (CAGR) of 28.60% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 40.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.8% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 30.15 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 23.12 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 5.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.0% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 2.01 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2024 to 2031.
The remote sensing held the highest geospatial analytics artificial intelligence market revenue share in 2024.

Market Dynamics of Geospatial analytics artificial intelligence Market

Key Drivers for Geospatial analytics artificial intelligence Market

Advancements in AI and Machine Learning to Increase the Demand Globally

The global demand for geospatial analytics is significantly driven by advancements in AI and machine learning, technologies that are revolutionizing how spatial data is analyzed and interpreted. As AI models become more sophisticated, they enhance the capability to automate complex geospatial data processing tasks, leading to more accurate and insightful analyses. Machine learning, particularly, enables systems to improve their accuracy over time by learning from vast datasets of geospatial information, including satellite imagery and sensor data. This leads to more precise predictions and better decision-making across multiple sectors such as environmental management, urban planning, and disaster response. The integration of AI with geospatial technologies not only improves efficiency but also opens up new possibilities for innovation, making it a critical driver for increased global demand in the geospatial analytics market.

Government Initiatives and Support for Smart Cities to Propel Market Growth

Government initiatives supporting the development of smart cities are propelling the growth of the geospatial analytics market. As urban areas around the world transform into smart cities, there is a significant increase in demand for advanced technologies that can analyze and interpret geospatial data to enhance urban planning, infrastructure management, and public safety. Geospatial analytics, powered by AI, plays a crucial role in these projects by enabling real-time data processing and insights for traffic control, utility management, and emergency services coordination. These technologies ensure more efficient resource allocation and improved quality of urban life. Government funding and policy support not only validate the importance of geospatial analytics but also stimulate innovation, attract investments, and foster public-private partnerships, thus driving the market forward and enhancing the capabilities of smart city initiatives globally.

Restraint Factor for the Geospatial analytics artificial intelligence Market

Complexity of Data Integration to Limit the Sales

The complexity of data integration poses a significant barrier to the adoption and effectiveness of geospatial analytics AI systems, potentially limiting sales in this market. Geospatial data, inherently diverse and sourced from various collection methods like satellites, UAVs, and ground sensors, comes in multiple formats and resolutions. Integrating such disparate data into a cohesive, usable format for AI analysis is a challenging process that requires advanced data processing tools and expertise. This complexity not only increases the time and costs associated with project implementation but also raises the risk of errors and inefficiencies in data analysis. Furthermore, the difficulty in achieving seamless integration can deter organizations, particularly those with limited IT capabilities, from investing in geospatial analytics solutions. Overcoming these integration challenges is crucial for enabl...

The embedded AI market size was valued at USD 10.43 billion in 2024 and is expected to reach USD 56.64 billion by 2037, registering around 13.9% CAGR during the forecast period i.e., between 2025-2037. Asia Pacific industry is poised to hold largest revenue share of 43% by 2037, impelled by rapid growth of e-commerce and digital transformation in the retail sector in the region.

North America AI in Agriculture market size will be USD 856.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 21.7% from 2024 to 2031. North America has emerged as a prominent participant, and its sales revenue is estimated to reach USD 3623.40 Million by 2031. This growth is mainly attributed to advanced technological infrastructure, substantial investments in agri-tech innovations, and high adoption rates of AI solutions.

The global automotive artificial intelligence market size surpassed USD 4.12 billion in 2024 and is forecasted to grow at a steady pace of 28.2% CAGR, reaching USD 104.1 billion by 2037. North America industry is expected to dominate majority revenue share of 39% by 2037, owing to well-developed healthcare facilities in the region.

North America Artificial Intelligence Education Technology Market size will be USD 1570.08 Million in 2023 and will expand at a compound annual growth rate (CAGR) of 45.7% from 2023 to 2030.

India conversational AI market size reached USD 516.8 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 4,936.9 Million by 2033, exhibiting a growth rate (CAGR) of 26.4% during 2025-2033. The increasing automation of business operations and numerous technological advancements are primarily driving the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, type, technology, deployment mode, organization size, and end user.

The global generative AI in healthcare market is poised to grow from USD 2.33 billion in 2024 to USD 84.38 billion by 2037, reflecting a CAGR of more than 31.8% during the forecast period, from 2025 to 2037. Key industry players include Oracle Corporation, NVIDIA Corporation, Google LLC, Epic Systems Corporation, among others.

Market Overview

The global Agentic AI market is experiencing an extraordinary transformation as intelligent software agents that autonomously perceive, decide, and act are becoming integral components of digital enterprise transformation. Based on extensive analysis, the market size of Agentic AI market was valued at USD 5.1 billion in 2024 and is forecast to reach around USD 150 billion by 2033, driven by powerful growth factors and robust compound annual growth rates (CAGR) estimated at nearly 35% from 2025 to 2033. This explosive expansion is fueled by the rapid digitalization of enterprises, strong government and R&D funding, and the increasing need for automation to improve operational efficiency and reduce human error by up to 40% in some cases. Leading technology trends include advancements in machine learning models such as LLMs, increased data generation from IoT sensors, and the integration of low-latency connectivity enabled by global 5G rollouts, which together create a fertile environment for the adoption of agentic AI solutions.

Major industry reports and triangulated data from government sources, official annual reports, and regulatory filings consistently affirm that as organizations seek to streamline workflows and enhance real-time decision-making with autonomous agents, the market will begin its mainstream consolidation over the next decade. Enterprises spanning finance, healthcare, retail, IT, and manufacturing are incorporating intelligent solutions to optimize processes, reduce costs, and unlock new revenue streams from agent-driven automation. Furthermore, the steady integration of sophisticated AI agents into cloud and on-premise systems, coupled with the increasing penetration of AI software subscriptions and hardware investments, reinforces the market’s transformative potential. This enormous growth trajectory not only underlines agentic AI’s role as a key enabler of digital transformation but also highlights its potential to reshape entire industries.

Investor confidence and aggressive R&D investments by both entrenched tech giants and specialized agents have been a primary driver of this market’s momentum, especially as major vendors consistently report significant revenue contributions from their AI platforms. The market is set to witness an unparalleled increase in operational efficiency as large enterprises along with SMEs leverage cloud-based and hybrid AI solutions to deploy scalable, intelligent virtual agents. With wide-ranging applications from customer service chatbots to autonomous robotics and decision-support systems, the Agentic AI market is positioned to undergo a multi-fold expansion that mirrors the evolution witnessed in cloud computing over the past decade. Overall, the forecasted growth and expansion of the market underscore a pivotal shift in how digital businesses will operate through fully integrated intelligent agents.

The projected market figures, coupled with the impressive CAGR, indicate enormous potential for both existing vendors and new startups as they compete to capture market share in this high-growth environment. The strategic repositioning of traditional tech companies into agile, AI-driven solution providers and the entry of independent innovators have already started to blur traditional boundaries, leading to a more integrated ecosystem where hardware, software, and services combine for maximum impact. The quantitative data not only supports the promise of explosive scaling but also reinforces the expectation that agentic AI will become a cornerstone in delivering business-driven intelligence and automation for enterprises across the globe.

The global artificial intelligence (AI) camera market size reached USD 7.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 25.3 Billion by 2033, exhibiting a growth rate (CAGR) of 13.82% during 2025-2033. The growing concerns regarding safety and security, rising adoption of AI-powered CCTV cameras, augmenting sales of premium feature-rich smartphones, and increasing product applications in traffic monitoring and homeland security, represent some of the key factors driving the market.

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence (AI) camera market, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on technology and end user.

According to Cognitive Market Research, the global AI-based personalised Stylist market size will be USD 101.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 38.30% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 40.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.5% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 30.45 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 23.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 40.3% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 5.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.0% from 2024 to 2031.
The mobile apps category is the fastest growing segment of the AI-Based Personalized Stylist industry

Market Dynamics of AI-Based Personalized Stylist Market

Key Drivers for AI-Based Personalized Stylist Market

Rising Demand for Personalized Fashion Recommendations to Boost Market Growth

The market for personalized fashion recommendations is being driven by several key factors; The development of sophisticated algorithms that analyze vast amounts of consumer data (browsing habits, purchase history, body measurements, and even social media activity) enables more accurate and relevant fashion recommendations. This technological evolution is a key factor driving growth. Providing accurate and effective personalized recommendations relies on the quality of consumer data. Retailers may struggle with integrating data from different sources, leading to less effective personalization efforts and customer dissatisfaction. These drivers and restraints are shaping the growth trajectory of personalized fashion recommendations, as companies navigate the balance between innovation and addressing consumer concerns. For instance, to advance its personal recommendation technology, Lily AI raised capital in 2020. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding.

Advancements in machine learning algorithms

The availability of big datasets, advances in deep learning architectures, and rising computing power are the main forces behind developing machine learning algorithms. Scalable, rapid model training is made possible by distributed systems and cloud computing. The need for increasingly complex algorithms is fueled by the growth of artificial intelligence (AI) in sectors including healthcare, finance, and autonomous systems. Furthermore, data accessibility, open-source frameworks, and rising research and development expenditures in artificial intelligence fuel ongoing innovation and the real-world use of sophisticated machine learning models.

Restraint Factor for the AI-Based Personalized Stylist Market

High development costs limit accessibility for small-scale fashion retailers

Small-scale fashion stores have a considerable obstacle in the form of high development costs, which restrict their access to cutting-edge technologies and creative design methodologies. These merchants frequently have tight budgets, making it difficult for them to invest in cutting-edge production equipment, eco-friendly materials, and online marketing and sales platforms. Their growth potential is further limited by significant expenses related to supply chain management, branding, and scalability, which puts them at a disadvantage compared to larger, more financially stable competitors.

Impact of Covid-19 on the AI-Based Personalized Stylist Market

The COVID-19 pandemic accelerated the growth of the AI-based personalized stylist market as consumers shifted to online shopping and virtual services. With physical stores closed, demand for personalized, AI-driven fashion recommendations increased. Retailers adopted AI solutions to offer virtual try-ons, tailored recommendations, and interactive shoppin...

The global robotics market was valued at USD 28.31 Billion in 2024. It is expected to grow at a CAGR of 11.00% from 2025 to 2034, reaching approximately USD 80.38 Billion by 2034. The global robotics market is expanding rapidly, driven by advancements in technology and increasing demand across various industries. Robotics has emerged as a key driver of automation in sectors such as manufacturing, healthcare, and entertainment. The market for medical robots, including robotic surgery systems, has grown significantly due to the rising demand for precision in the healthcare industry. Additionally, industrial robotics in robotics market, including robotic arms, continues to see a surge in demand with the adoption of Industry 4.0 practices. The integration of artificial intelligence into robotics is enhancing machine capabilities, enabling robots to perform complex tasks with higher accuracy and efficiency. Despite the market's promising growth, challenges such as high initial costs and technical complexity continue to limit widespread adoption. According to the latest forecasts, the robotics market is expected to grow at a robust CAGR during the forecast period, with entertainment robots also contributing to this rapid expansion.

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.

Snapshot img

Mobile AI Market Size 2024-2028

The mobile AI market size is forecast to increase by USD 39.91 billion, at a CAGR of 26.78% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing penetration of smartphones and the rising demand for edge computing in the Internet of Things (IoT) sector. With the proliferation of smartphones, there is a surge in the usage of mobile applications that leverage AI technologies for personalized user experiences, voice recognition, and predictive analytics. Additionally, the adoption of AI and IoT is expected to fuel market growth, as real-time data processing and decision-making become essential for optimizing device performance and enhancing user experience. 
However, the market faces challenges, including the inadequate availability of AI experts to develop and implement AI solutions. Companies seeking to capitalize on market opportunities and navigate challenges effectively should focus on building strategic partnerships with AI experts and investing in upskilling their workforce. 
Furthermore, collaborating with IoT device manufacturers to integrate AI capabilities into their products can provide a competitive edge in the market. Overall, the market presents significant opportunities for innovation and growth, with the potential to revolutionize various industries, from healthcare to finance, by enabling intelligent and automated solutions on mobile devices.

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

Request Free Sample

The market is experiencing strong growth, driven by the increasing integration of artificial intelligence in various industries and applications. The market's expansion is fueled by the proliferation of 5G networks, Internet of Things (IoT) devices, and the rise of edge computing. These technologies enable faster data processing and transmission, enhancing the capabilities of AI in mobile environments. Moreover, the integration of AI in industries such as robotics, virtual reality, and augmented reality is expanding the market's scope. AI chipsets are becoming more powerful and reliable, enabling personalized services and experiences on smartphones. Cloud computing continues to play a crucial role in the market, providing scalability and cost-effectiveness.
The market's size is significant, with venture capital financing playing a vital role in driving innovation and growth. Performance, reliability, privacy, and security are critical considerations in the market, as the use of AI in mobile environments raises concerns around data protection and processing capabilities. Overall, the market is poised for continued expansion, with numerous opportunities for innovation and growth.

How is this Mobile AI Industry segmented and which is the largest segment?

The mobile AI industry 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.

Component

  Software
  Hardware
  Services


Application

  Smartphones
  Automobile
  Robotics
  Others


Node

  7 nm
  10 nm
  20-28 nm
  Others (12 nm and 14 nm)


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Component Insights

The software segment is estimated to witness significant growth during the forecast period. The mobile artificial intelligence (AI) market is experiencing significant growth due to technological advancements, particularly in AI algorithms, computational capabilities, and the integration of AI-specific chipsets in smartphones. The increasing number of smartphone users and regulatory support for responsible AI standards further fuel market expansion. Additionally, the integration of natural language processing in mobile AI enables more intuitive voice commands and interactions. Key market drivers also include the adoption of AI in wearables, voice-activated AI assistants, and mobile gaming.

The market is expected to continue growing, with investments in R&D and the development of 5G networks and IoT technologies playing a crucial role. Edge computing and cloud processing are also important factors, with companies such as Qualcomm's Snapdragon mobile platform and various AI chipset providers leading the way. However, concerns around cyber threats, unauthorized access, and data breaches, particularly in healthcare, remain challenges to market growth.

Get a glance at the share of various segments. Request Free Sample

The software segment was valued at USD 3.47 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 37% to the growth of the