A survey carried out in June 2023 in the United States found out that 52 percent of marketing professionals that were using artificial intelligence (AI) tools in their marketing programs said that their leading benefit was the increased speed or efficiency of workflows or processes. Another 51 percent of professionals working with AI stated that the same tools benefited their data processing.

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

What is AI and who uses it?

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

AI at the marketing wheel

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

Call center AI to reach $ million market size by 2031 (CAGR 22.10%). Improve customer engagement & efficiency, but consider privacy concerns. Top players like Microsoft & trends in Asia-Pacific.

During a March 2023 survey among brand marketers in the United States, around 70 percent of respondents said what made them the most excited about the usage of artificial intelligence (AI) in marketing was the ability to do faster market research on prospects and customers. On the other hand, two percent stated they were not excited about AI at all.

AI technologies such as deep learning, machine learning, and NLP are applied to education and training software to improve performance and learning experience.

The size of the North America AI Email Assistant Market was valued at USD 19942.01 million in 2023 and is projected to reach USD 40883.42 million by 2032, with an expected CAGR of 10.80% during the forecast period. This surge is attributed to several growth-driving factors, including the increasing productivity and efficiency offered by AI email assistants, the growing adoption of cloud-based email services, and the rising demand for personalized email experiences. The market is also witnessing significant advancements in natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) technologies, enhancing the capabilities of email assistants and attracting a wider user base. Recent developments include: June 2023, Google announced plans to make AI more useful to everyone. This includes bringing new "Help me write" feature in Gmail to Workspace Labs users, making it easier than ever to compose emails. This is the most recent AI update for Gmail..

During the September 2023 survey, 44 percent of responding brand and agency marketers from the United Kingdom (UK) stated that serving relevant ads or creatives to clients was a benefit of applying artificial intelligence (AI) and machine learning (ML) to digital advertising campaigns. The way the most-frequently named benefit among respondents from the UK.

Market Analysis for Artificial Intelligence in Law Market The global artificial intelligence (AI) in law market is projected to grow from $19942.01 million in 2023 to $120397.12 million by 2033, exhibiting a CAGR of 33.80% during the forecast period. The surging demand for efficient and cost-effective legal services, the increasing volume of legal data, and the growing adoption of AI technologies are driving market growth. The application segment dominated by document management systems due to their ability to automate the organization, retrieval, and analysis of legal documents. The lawyer and client segment account for the majority of the market share as AI solutions assist lawyers with tasks such as legal research, document review, and case predictions. Key market trends include the integration of AI with natural language processing (NLP) to enhance its capabilities for understanding legal texts. The use of machine learning algorithms for predictive analytics is also gaining traction, enabling lawyers to make data-driven decisions and identify potential risks. However, concerns over data privacy and ethical implications, as well as the need for skilled professionals to implement and maintain AI solutions, pose challenges to market growth. North America is anticipated to remain the largest market, owing to the presence of prominent technology companies and early adoption of AI in the legal industry. Asia-Pacific is expected to witness significant growth, driven by government initiatives and investments in AI infrastructure. Recent developments include: May 2023: LexisNexis Group Inc. introduced the much-anticipated state court legal analytics API. Customers can now access Lex Machina's state court analytics and data directly through the API, facilitating a more thorough integration of the company's superior legal analytics into an already seamless workflow. Additionally, with the new state court API from Lex Machina, users can now combine their internal data with the company's superior legal analytics for both state and federal courts., April 2023: Luminous Technologies Ltd. announced that it has joined forces with Nexa, an alternative service legal provider, to integrate Luminous's next-generation artificial intelligence (AI) into the NexaConnex legal service offering. This integration will enable NexaConnex's clients to increase the amount of time they spend on high-value client activities and achieve much-needed efficiencies in their daily work..

As of May 2024, around 38 percent of marketers surveyed worldwide included increased efficiency among the benefits of using generative artificial intelligence (GenAI) for social media marketing. Easier idea generation followed, mentioned by 34 percent.

The size of the AI Recruitment Market was valued at USD 617.5 Million in 2023 and is projected to reach USD 985.10 Million by 2032, with an expected CAGR of 6.9% during the forecast period. The AI recruitment market is thus the integration of artificially intelligent technologies for recruitment, a way of enabling organizations to manage the attraction process, screening processes, and selecting the right individual. AI recruitment tools work based on machine learning, natural language processing, and predictive analytics while automating workloads such as resume screening, interview scheduling, or candidate sourcing activities. Some of the most prominent features of AI recruitment are candidate matching algorithms, chatbots for candidate engagement, and data-driven insights to optimize hiring decisions. The major employing technologies for AI recruitment include AI-driven applicant tracking systems (ATS), sentiment analysis tools, and predictive analytics platforms. The impact of AI recruitment is extreme because it immensely improves efficiency and reduces biases by accelerating the process of hiring people. Benefits through AI recruitment clearly show improvements towards enhancing candidate experience, reducing the time-to-hire, and improving hiring quality. One big growth driver is the increasing need for cost-effective, scalable solutions by organizations to handle talent acquisition and other needs to face the continually changing labor market. As businesses look to improve their recruitment outcomes, AI technologies offer competitive advantages through better decision-making and streamlined processes. Recent developments include: February 2023: - Under it’s recently established 1000 Pioneers initiative, Quantgene is inviting past entrepreneurs and startup veterans to apply for a new position. In order to create a layer of revolutionary firms, 1000 Pioneers and Pioneerland are starting with the healthcare industry., February 2023:- Employment in Many Industries Will Become Obsolete Due to ChatGPT and Future AI Bots. Unusually clever chatbot ChatGPT has been made available to the public as a free tool by a research facility supported by Microsoft.. Key drivers for this market are: . Need for managing quality assurance of software for better customer experience, . Need for cost effective software development process. Potential restraints include: . Concern over data security and privacy.

As per Cognitive Market Research's latest published report, the Global AI in Mental Health market size was USD 910.6 Million in 2022 and it is forecasted to reach USD 11,371.0 Million by 2030. AI in Mental Health Industry's Compound Annual Growth Rate will be 37.2% from 2023 to 2030. Market Dynamics of AI in Mental Health Market

Growing adoption of AI to detect mental illness and symptoms:

AI plays a cog role in assessing and diagnosing mental illness symptoms. It is observed that detecting the sign of mental illness was challenging for clinicians and researchers. Mental disorders diagnosis often depends on self-reporting or direct observation of abnormal behaviors and actions. Direct observation is a costly procedure and time-consuming. Nonetheless, AI plays an important role to analyse and diagnose several mental health issues. The emergence of deep learning helps to monitor the probability of improving mental health conditions. With the help of deep learning, health practitioners can study and identify behaviors patterns, and potential warning signs which help physicians to make quick decisions. Stressful or traumatic events and generic mental disorders history are some of the major factors that may lead to mental illness. The data assembly and recognition allow clinical institutions and physicians to analyze the prediction for mental health issues in the patient. More specifically, AI helps to diagnose mental illness symptoms more accurately and quickly so that physicians can provide the right treatment with the right diagnosis. Thus, the emergence of AI and its several benefits in the healthcare industry has augmented market growth.

Restraining Factors of AI in Mental Health Market:

Data privacy and regulatory issues: The advent of new technologies such as Artificial Intelligence and IoT is reshaping the healthcare industry. Technology helps to keep records, monitor and track patient health. It also keeps a record of patient’s personal information and their treatment plans. However, the increasing prevalence of data theft and cyber-attacks is expected to hinder market growth to a certain extent. For instance, in 2020, around 58% of data theft increased in the healthcare industry as compared to the previous year. The governments of several countries have imposed different rules and regulations for adopting new technologies. For instance, in the U.S. companies must comply with HIPAA, GDPR, and other guidelines to launch their products and services. These factors can obstruct market growth.

Current Trends on AI in mental healthcare:

Several advantages associated with AI technology has imposing health specialist to adopt high-tech solutions to treat their patent more efficiently. On the other hand, to emphasize the usage of AI in the healthcare industry, giant players operating in this industry are focusing on product development and innovation followed by technological innovation. Conventional treatment for mental illness comprises medications and patient counseling. However, with the help of AI, health practitioners can monitor patients’ treatment and their medications. In addition. In the depression phase, patients loss their interest and mood in day-to-day activities where AI plays an important role in the treatment process. Thus, the rising need for AI solutions to treat mental illness is projected to propel the market growth over the forecast period, from 2023 to 2030. Introduction of AI in Mental Health

A mental disorder is a medical condition that disturbs a person’s thinking, fexeling, interest, mood, and ability for performing daily activities. Several factors such as trauma or a history of abuse, injury, genetic disorder (biological factors), physical illness, use of alcohol or drugs, generic disorder, and chemical imbalances in the brain are some of the major factors contributing to the development of mental illness. In addition, common signs of mental illness are changes in eating habits, mood swings, excessive worrying or fear, avoiding friends and social activities, and problems concentrating.

The global AI video analytics market is anticipated to garner $674.52 million in 2025 and witness a 20.5% CAGR from 2025 to 2033. The growth can be attributed to the increasing demand for advanced security and surveillance systems, customer analytics, and operational efficiency in various industries. The adoption of cloud-based deployment models and the proliferation of AI-enabled devices further drive market expansion. Key drivers propelling market growth include rising security concerns, growing adoption of IoT devices, and increasing government initiatives for smart city development. The retail, healthcare, and manufacturing sectors are major adopters of AI video analytics solutions for applications such as object detection and recognition, facial recognition, video summarization, behavioral analysis, and risk management. North America and Europe are expected to hold significant market shares, while the Asia Pacific region is anticipated to witness robust growth during the forecast period. Key drivers for this market are: Retail Analytics Smart Surveillance Healthcare Diagnostics Predictive Maintenance Fraud Detection. Potential restraints include: Increasing adoption of AI in video surveillance systems Growing demand for real-time video analytics Need for improved security and safety. Rise of smart cities and intelligent transportation systems Expansion of cloud-based video analytics platforms.

According to a global survey conducted in May 2024, 38 percent of respondents who worked in marketing, PR, sales, or customer service roles reported that increased efficiency was the leading benefit of using generative AI for social media marketing. Overall, 34 percent reported that easier idea generation was a leading benefit. Respondents also stated that increased content production, enhanced creativity, and reduced costs were some of the top resons for using generative AI for social media marketing.

Enterprise Cloud Service Market is expected to grow at a high CAGR of 16.4% during the forecast period 2024-2031 | DataM Intelligence

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Marketing Automation Software Market Size 2024-2028

The marketing automation software market size is forecast to increase by USD 3.35 billion at a CAGR of 13.07% between 2023 and 2028.

Marketing automation software has become a crucial tool for businesses aiming to enhance customer engagement and streamline their marketing efforts. The market is witnessing significant growth due to the increasing need for lead nurturing and effective customer engagement solutions. Moreover, the integration of artificial intelligence (AI) in marketing automation software is revolutionizing the way businesses interact with their customers. However, challenges such as interoperability issues and the lack of comprehensive integration strategies persist. The adoption of advanced technologies like 5G, the Internet of Things (IoT), and virtual reality is also transforming the marketing automation landscape. These technologies enable real-time data processing and personalized customer experiences, making marketing automation software an indispensable asset for businesses. As the market continues to evolve, organizations need to stay updated with the latest trends and address the challenges to maximize the benefits of marketing automation software.

What will be the Size of the Marketing Automation Software Market During the Forecast Period?

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The market is experiencing significant growth In the digital environment, driven by the increasing importance of digital channels in marketing strategies. Businesses are leveraging digital marketing software solutions to streamline and optimize their marketing efforts, enhancing creative strategies and improving consumer brand choice. Marketing spending continues to shift towards digital channels, with customer activities such as leads, ROI, sales, and customer retention becoming key performance indicators.
Marketing departments are utilizing various tools, including email marketing, CRM, lead management, sales automation, campaign management, social media marketing, content marketing, and analytics and reporting, to engage consumers across multiple channels. Omnichannel marketing approaches are gaining traction, with virtual assistants like chatbots playing a role in providing personalized customer experiences. The market is expected to continue expanding, as businesses seek to make data-driven decisions and deliver targeted, effective marketing campaigns.

How is this Marketing Automation Software Industry segmented and which is the largest segment?

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

Deployment

  Cloud-based
  On-premises


End-user

  Small and medium enterprises
  Large enterprises


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

The market is experiencing growth due to enterprises' focus on cost reduction and enhancing marketing operations' agility and efficiency. In today's dynamic marketing landscape, where content and channels are multiplying, marketers require scalable and consistent solutions to maintain quality control. Cloud-based marketing automation software offers these benefits, enabling centralized management of brand assets and streamlined workflows. Additionally, these solutions provide a subscription-based payment model, eliminating the need for large upfront investments and periodic maintenance and update expenses. Cloud technologies are revolutionizing marketing processes, enabling enterprises to operate more efficiently and effectively across various industries, including manufacturing, healthcare, and business-to-business associations.

Furthermore, marketing teams leverage data-driven decisions, and AI/ML to create engaging consumer experiences, leading to improved lead scoring, customer retention, and return on investment. Marketing technology companies offer various marketing solutions, including email marketing, social media marketing, IoT, and content marketing, to cater to diverse budget constraints and marketing needs. The integration of data access, collection, and analytics solutions further enhances the effectiveness of marketing campaigns and customer insights. Despite the advantages, security concerns, such as breaches and cyberattacks, remain a challenge for enterprises adopting marketing automation tools.

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The cloud-based segment was valued at USD 1.46 billion in 2018 and showed a gradual increase during

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Success.ai’s B2B intent data is updated continuously, giving you real-time insights into your prospects’ online behaviors. By focusing on the most r...

Dive into the evolving landscape of the IT Operations Analytics Market from 2024 to 2031. Discover how proactive monitoring, cloud-based solutions, and AI technologies drive market expansion

The AI Night Vision Camera market is experiencing robust growth, projected to reach $597 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 12.7% from 2025 to 2033. This expansion is driven by several key factors. The increasing demand for enhanced security solutions across various sectors, including smart homes, industrial automation, and military applications, fuels market growth. Advances in artificial intelligence (AI) enable more accurate object detection, identification, and tracking in low-light conditions, significantly improving the effectiveness of night vision systems. The integration of AI algorithms enhances functionalities such as improved image clarity, automated threat alerts, and intelligent analytics, further propelling market adoption. Furthermore, the miniaturization of sensors and processing units allows for the development of smaller, more cost-effective, and easily deployable AI night vision cameras, broadening their market reach. The emergence of sophisticated thermal imaging cameras, offering superior performance in challenging environments, also contributes to market expansion. Market segmentation reveals strong growth in applications such as smart driving, where AI-powered night vision systems enhance driver safety and autonomous driving capabilities. The smart industry segment benefits from improved operational efficiency and security through enhanced surveillance and predictive maintenance. Military applications are also a key driver, with AI-powered night vision offering crucial advantages in surveillance and reconnaissance. The market is geographically diverse, with North America and Asia Pacific (particularly China) expected to dominate market share due to technological advancements and high adoption rates. However, substantial growth potential exists in other regions as infrastructure develops and demand for advanced security and surveillance systems increases. While challenges such as high initial investment costs and the need for specialized expertise exist, the overall market outlook remains exceptionally positive, driven by continuous technological innovation and the growing need for reliable night vision solutions across diverse sectors.

The size and share of the market is categorized based on Type (AI-powered platforms, Personalized platforms, Self-service portals, Healthcare platforms, Cloud-based systems) and Application (Employee health navigation, Benefit optimization, Insurance management, Financial wellness) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The AI Assisted Radiology Market offers a wide range of products, including software, hardware, and services.Software products include AI algorithms and applications that can be integrated into existing radiology systems. These algorithms can perform tasks such as image analysis, disease detection, and diagnosis.Hardware products include AI-powered imaging systems that are designed to improve image quality and reduce the dose of radiation exposure.Services include AI consulting, implementation, and training. These services can help healthcare providers to adopt and implement AI solutions effectively. Recent developments include: In April 2024, Agfa HealthCare launched SmartXR for X-ray Artificial Intelligence (AI)., In March 2024, Lunit Expanded its AI Medical Imaging Solutions in the East and Southeast Asian Region. As a result of this expansion, Lunit will supply its Lunit INSIGHT CXR for chest abnormality detection and Lunit INSIGHT MMG for mammography analysis to the Chung Shan Medical University in Taiwan and Gleneagles Hospital in Singapore, respectively., In February 2024, NANO-X IMAGING LTD received FDA clearance for HealthFLD, an advanced AI-based software that enables clinicians to assess fatty liver. Nanox's HealthFLD has revolutionized the usage of a completely automated AI software for liver attenuation analysis from CT images, which has acquired FDA 510(k) clearance for use in the general population.. Key drivers for this market are: RISING NUMBER OF AI-POWERED MEDICAL IMAGING START- UPS, Growing strategic initiatives by market players. Potential restraints include: high cost and resource constraints. Notable trends are: The increasing prevalence of lifestyle diseases to boost the market growth.