In 2021, the market for artificial intelligence (AI) in marketing was estimated at ***** billion U.S. dollars. The source projected that the value would increase to more than ***** billion by 2028. What is AI and who uses it? Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around *** billion U.S. dollars in 2021. AI at the marketing wheel AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than ** percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly ** percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.
Success.ai’s B2B Marketing Data and Contact Data for Global Marketing Leaders empowers businesses to connect with chief marketing officers (CMOs), marketing strategists, and industry decision-makers worldwide. With access to over 170M verified profiles, including work emails and direct phone numbers, this dataset ensures your outreach efforts reach the right audience effectively.
Our AI-powered platform continuously updates and validates contact data to maintain 99% accuracy, providing actionable insights for marketing campaigns, sales strategies, and recruitment initiatives. Whether you’re targeting CMOs in Fortune 500 companies or strategists in innovative startups, Success.ai delivers reliable data tailored to meet your business goals.
Key Features of Success.ai’s Marketing Leader Contact Data - Comprehensive Coverage Across the Marketing Industry Access profiles for marketing leaders across diverse industries and regions:
Chief Marketing Officers (CMOs): Decision-makers shaping global marketing strategies. Marketing Strategists: Experts driving innovative campaigns and business growth. Digital Marketing Heads: Leaders overseeing digital transformation initiatives. Brand Managers: Professionals managing brand identity and outreach efforts. Content and SEO Specialists: Key contributors to content strategy and visibility.
AI-Validated Accuracy: Industry-leading AI technology ensures every contact detail is verified. Real-Time Profile Updates: Data is continuously refreshed to reflect the most current information. Reliable Engagement: Minimized bounce rates for seamless communication with decision-makers.
API Integration: Seamlessly integrate contact data into your CRM or marketing platforms. Custom Flat Files: Receive datasets customized to your specifications, ready for immediate use.
Why Choose Success.ai for Marketing Data?
Best Price Guarantee We provide the most competitive pricing in the industry, ensuring the best value for global, verified contact data.
Global Compliance and Ethical Practices Our data collection and processing adhere to strict compliance standards, including GDPR, CCPA, and other regional data regulations, ensuring ethical and secure usage.
Strategic Advantages for Your Business
Precise Marketing Campaigns: Create highly targeted campaigns that resonate with marketing leaders. Effective Sales Outreach: Accelerate sales processes with direct access to CMOs and strategists. Recruitment Efficiency: Source top-tier marketing talent with verified contact data. Market Intelligence: Leverage enriched data insights to understand industry trends and optimize strategies. Partnership Development: Build and nurture relationships with influential marketing professionals.
Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 700M Global Professional Profiles 70M Verified Company Profiles
Key APIs for Enhanced Functionality
Enrichment API Keep your contact database updated with real-time enrichment capabilities, ensuring relevance for dynamic outreach efforts.
Lead Generation API Maximize your lead generation campaigns with accurate, verified data, including contact information for global marketing leaders. Our API supports up to 860,000 API calls per day, enabling robust scalability for your business.
Use Cases
Targeted Marketing Campaigns Reach CMOs and marketing strategists with personalized campaigns designed to deliver measurable ROI.
Sales Pipeline Acceleration Engage directly with decision-makers to shorten sales cycles and boost deal closure rates.
Talent Recruitment Identify and recruit top-tier marketing talent to strengthen your team.
Partnership Building Establish meaningful connections with global marketing leaders to foster collaboration.
Strategic Planning Utilize detailed firmographic and demographic insights for data-driven decision-making.
What Makes Success.ai Stand Out?
Success.ai’s B2B Contact Data for Global Marketing Leaders is your ultimate solution for connecting with top-tier marketing professionals. From CMOs driving global strategies to strategists shaping impactful campaigns, our database ensures you reach the right audience to grow your business.
No one beats us on price. Period.
Extant research on the impact of generative Artificial Intelligence (GenAI) has significantly advanced our understanding of its effects on various aspects of business, particularly within the marketing discipline. Despite these contributions, notable research gaps remain, prompting recent academic calls for further investigation. Our research seeks to address these gaps by answering four critical questions to deepen the understanding of how GenAI impacts marketing professionals.
The first research question explores how GenAI influences the roles, responsibilities, and career advancement of marketing professionals. While current studies highlight shifts in required skills, such as the increasing demand for expertise in AI and digital marketing (Soni, 2023), there is limited insight into how GenAI affects marketing professionals at different career levels (Wahid, 2023). This gap in knowledge hinders the development of effective training programs tailored to address the talent gap in managing and utilizing GenAI tools. By investigating this question, our research aims to provide actionable guidance for both practitioners and educators in bridging this skills gap.
The second research question addresses the development of frameworks and policies to regulate the ethical use of GenAI in marketing. Existing research has proposed frameworks such as PAIR (Problem, AI, Interaction, Reflection) (Acar, 2024), co-creative models for responsible AI use (Sun et al., 2024; Cillo & Rubera, 2024), and an organizing framework linking business actions, capabilities, transformations, and societal impact (Kumar, 2024). However, these frameworks inadequately address ethical concerns such as transparency, intellectual property, and bias mitigation (Kumar, 2024; Guha, 2023; Gayam, 2022). Our research will aim to develop more comprehensive and robust frameworks that respond to these critical ethical challenges.
The third research question seeks to understand how companies can maximize the potential of GenAI while minimizing risks related to content quality, bias, and brand alignment. While studies have documented the applications of GenAI, such as ChatGPT, in content creation, customer engagement, and behavior analysis (Gupta et al., 2024), as well as its benefits like scalability and effectiveness (Kshetri et al., 2024), significant risks remain. Challenges such as accuracy issues, ethical and legal concerns, and trust erosion (Cillo & Rubera, 2024; Ding, 2024; Wahid et al., 2023) are underexplored in terms of mitigation strategies. Our research will contribute to identifying best practices and solutions to help companies optimize GenAI’s advantages while managing these risks effectively.
Finally, the fourth research question examines the long-term effects of GenAI on customer perceptions of brand authenticity and loyalty. Recent studies call for more research on this topic, highlighting the potential implications of automated interactions on customer trust and brand relationships (Gayam, 2022; Thakur & Kushwaha, 2023; Kshetri, 2024; Chaisatikul, 2024). Addressing this question will provide insights into how companies can maintain genuine and trustworthy connections with their customers in a landscape increasingly shaped by AI-driven interactions.
By answering these four research questions, our study aims to fill critical gaps in the current understanding of GenAI’s implications for marketing professionals, ethical practices, corporate strategy, and customer relationships, contributing valuable knowledge to both academia and industry.
To answer these research questions, we will conduct in-depth interviews with marketing professionals at different stages of their career. The dataset illustrate the opinion of marketing professionals on how GenAI impact their work, how to leverage the benefits and mitigate risks associate with GenAI, how to use GenAI ethitically, and how the use of GenAI affect the customers' perception toward the brands/companies.
To address these research questions, we will conduct in-depth interviews with marketing professionals at various stages of their careers. The dataset will capture their perspectives on how generative AI impacts their work, ways to leverage its benefits while mitigating associated risks, the ethical use of generative AI, and how its use influences customers' perceptions of brands and companies.
Success.ai’s Consumer Marketing Data for Food, Beverage & Consumer Goods Professionals Globally provides a comprehensive dataset tailored for businesses seeking to connect with decision-makers and marketing professionals in these dynamic industries. Covering roles such as brand managers, marketing strategists, and product developers, this dataset offers verified contact details, decision-maker insights, and actionable business data.
With access to over 700 million verified global profiles, Success.ai ensures your marketing, sales, and research efforts are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is essential for businesses aiming to lead in the food, beverage, and consumer goods sectors.
Why Choose Success.ai’s Consumer Marketing Data?
Verified Contact Data for Precision Targeting
Comprehensive Coverage Across Global Markets
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles
Advanced Filters for Precision Campaigns
Regional Trends and Consumer Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Brand Outreach
Product Development and Launch Strategies
Sales and Partnership Development
Market Research and Competitive Analysis
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Acc...
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The database marketing market is experiencing robust growth, driven by the increasing need for personalized customer experiences and the availability of advanced analytical tools. The market, currently valued at approximately $15 billion in 2025 (this is an estimated figure based on typical market sizes for similar technologies and the provided CAGR), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors: the rising adoption of data analytics and AI for customer segmentation and targeted marketing campaigns, the increasing preference for personalized marketing communications across various channels (email, social media, SMS), and the growing importance of customer relationship management (CRM) systems in building long-term customer loyalty. Large enterprises are the primary adopters, leveraging database marketing for lead generation, customer retention, and campaign optimization. However, SMEs are increasingly recognizing the value proposition, driving market expansion across various segments. Telemarketing, while still a prevalent application, is complemented by newer, digitally-driven techniques such as email marketing and programmatic advertising, utilizing database insights for superior targeting and personalization. Despite its rapid growth, the database marketing market faces certain challenges. Data privacy concerns and regulations like GDPR are increasing the complexity of data management and compliance, demanding substantial investment in secure and ethical data handling practices. The market also faces hurdles like data integration challenges from disparate sources, the need for skilled professionals to effectively utilize advanced analytics, and the ever-evolving technological landscape demanding continuous adaptation and investment in new tools and strategies. Market segmentation strategies focusing on specific industries, demographic segments, and geographic regions are critical to achieving optimal growth and return on investment for both providers and users of database marketing solutions. Key players like Adobe (Marketo), Stirista, Oracle, and HubSpot continue to innovate and expand their offerings to maintain market leadership. The geographic distribution of the market is largely influenced by the maturity of digital marketing practices in each region, with North America and Europe currently holding the largest market shares.
Success.ai’s B2B Contact Data for Marketing Professionals Worldwide equips businesses with precise and verified contact information to connect with marketing decision-makers globally. Sourced from over 170 million verified professional profiles, this dataset is tailored to meet the needs of sales, marketing, and recruitment teams, offering unparalleled accuracy, scalability, and relevance.
Why Choose Success.ai’s Marketing Professionals Data?
Each profile is AI-validated to ensure 99% accuracy, reducing bounce rates and boosting engagement.
Global Coverage for Marketing Experts:
Includes data from key regions like North America, Europe, Asia-Pacific, South America, and more.
Connect with marketing leaders across industries, including e-commerce, SaaS, retail, and finance.
Real-Time Updates:
Stay ahead with continuously updated profiles that reflect role changes and career moves.
Compliance You Can Trust:
Fully adheres to data privacy laws, including GDPR and CCPA, ensuring ethical and legal use of information.
Data Highlights: - 170M+ Verified Professional Profiles: Spanning multiple industries, including marketing professionals worldwide. - 50M Work Emails: AI-validated for reliability and accuracy. - 30M Company Profiles: Rich insights into organizations, perfect for segmentation and targeting. - 700M Global Professional Profiles: A diverse dataset designed to enhance outreach and engagement efforts.
Key Features of the Dataset: - Extensive Marketing Profiles: Includes work emails, phone numbers, job titles, LinkedIn profiles, and industry-specific insights. - Customizable Segmentation: Filter by location, company size, job level, and other parameters for targeted campaigns. - AI-Enriched Data: Provides enriched insights for better personalization and campaign success.
Strategic Use Cases:
Focus on decision-makers in marketing, ensuring higher conversion rates.
Targeted Marketing Campaigns:
Launch precision-driven campaigns aimed at marketing professionals across industries.
Leverage accurate data to create hyper-personalized messages for maximum engagement.
Recruitment for Marketing Roles:
Identify and engage top marketing talent for executive, mid-level, or specialist positions globally.
Use up-to-date information to connect with potential candidates effectively.
Market Research and Competitive Analysis:
Gain insights into marketing trends, strategies, and leadership across various sectors.
Identify opportunities for partnerships or strategic collaborations.
Why Success.ai is the Right Choice:
Access high-quality datasets at competitive prices without compromising on accuracy.
Flexible Integration:
Choose between API access or downloadable datasets to suit your operational needs.
Exceptional Accuracy and Coverage:
Powered by AI-driven validation, our data ensures precision, helping you achieve impactful results.
Customizable Solutions:
Tailor datasets to focus on specific roles, industries, or regions that matter most to your business.
APIs for Seamless Integration:
Enhance your existing marketing databases with accurate and updated contact details.
Lead Generation API:
Automatically integrate verified marketing professional contact data into your CRM or sales platforms.
Transform how you connect with marketing professionals worldwide using B2B Contact Data from Success.ai. With our verified and AI-validated contact information, you can launch campaigns, drive sales, and build lasting relationships with confidence.
Leverage the Best Price Guarantee and experience the success difference. Contact us now to unlock your access to a world of marketing leaders!
No one beats us on price. Period.
Success.ai’s LinkedIn Profile Data for Global Marketing Professionals provides a comprehensive dataset tailored for businesses aiming to connect with marketing leaders and decision-makers across industries worldwide. Covering roles such as CMOs, brand strategists, digital marketing experts, and campaign managers, this dataset offers verified LinkedIn profile data, including professional histories, work emails, and phone numbers.
With access to over 700 million verified global profiles, Success.ai ensures your outreach, recruitment, and market research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution is essential for navigating and excelling in the competitive marketing landscape.
Why Choose Success.ai’s LinkedIn Profile Data?
Verified Contact Data for Precision Targeting
Comprehensive Global Coverage
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive LinkedIn Profiles for Marketers
Advanced Filters for Precision Campaigns
Global Trends and Market Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Lead Generation
Recruitment and Talent Acquisition
Partnership Development and Collaboration
Market Research and Competitive Analysis
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
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The global big data technology market size was valued at approximately $162 billion in 2023 and is projected to reach around $471 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.6% during the forecast period. The growth of this market is primarily driven by the increasing demand for data analytics and insights to enhance business operations, coupled with advancements in AI and machine learning technologies.
One of the principal growth factors of the big data technology market is the rapid digital transformation across various industries. Businesses are increasingly recognizing the value of data-driven decision-making processes, leading to the widespread adoption of big data analytics. Additionally, the proliferation of smart devices and the Internet of Things (IoT) has led to an exponential increase in data generation, necessitating robust big data solutions to analyze and extract meaningful insights. Organizations are leveraging big data to streamline operations, improve customer engagement, and gain a competitive edge.
Another significant growth driver is the advent of advanced technologies like artificial intelligence (AI) and machine learning (ML). These technologies are being integrated into big data platforms to enhance predictive analytics and real-time decision-making capabilities. AI and ML algorithms excel at identifying patterns within large datasets, which can be invaluable for predictive maintenance in manufacturing, fraud detection in banking, and personalized marketing in retail. The combination of big data with AI and ML is enabling organizations to unlock new revenue streams, optimize resource utilization, and improve operational efficiency.
Moreover, regulatory requirements and data privacy concerns are pushing organizations to adopt big data technologies. Governments worldwide are implementing stringent data protection regulations, like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. These regulations necessitate robust data management and analytics solutions to ensure compliance and avoid hefty fines. As a result, organizations are investing heavily in big data platforms that offer secure and compliant data handling capabilities.
As organizations continue to navigate the complexities of data management, the role of Big Data Professional Services becomes increasingly critical. These services offer specialized expertise in implementing and managing big data solutions, ensuring that businesses can effectively harness the power of their data. Professional services encompass a range of offerings, including consulting, system integration, and managed services, tailored to meet the unique needs of each organization. By leveraging the knowledge and experience of big data professionals, companies can optimize their data strategies, streamline operations, and achieve their business objectives more efficiently. The demand for these services is driven by the growing complexity of big data ecosystems and the need for seamless integration with existing IT infrastructure.
Regionally, North America holds a dominant position in the big data technology market, primarily due to the early adoption of advanced technologies and the presence of key market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by increasing digitalization, the rapid growth of industries such as e-commerce and telecommunications, and supportive government initiatives aimed at fostering technological innovation.
The big data technology market is segmented into software, hardware, and services. The software segment encompasses data management software, analytics software, and data visualization tools, among others. This segment is expected to witness substantial growth due to the increasing demand for data analytics solutions that can handle vast amounts of data. Advanced analytics software, in particular, is gaining traction as organizations seek to gain deeper insights and make data-driven decisions. Companies are increasingly adopting sophisticated data visualization tools to present complex data in an easily understandable format, thereby enhancing decision-making processes.
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Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features
Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.
Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases
Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.
Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.
The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.
What is Big data?
Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.
Big data analytics
Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.
Success.ai’s LinkedIn Data Solutions offer unparalleled access to a vast dataset of 700 million public LinkedIn profiles and 70 million LinkedIn company records, making it one of the most comprehensive and reliable LinkedIn datasets available on the market today. Our employee data and LinkedIn data are ideal for businesses looking to streamline recruitment efforts, build highly targeted lead lists, or develop personalized B2B marketing campaigns.
Whether you’re looking for recruiting data, conducting investment research, or seeking to enrich your CRM systems with accurate and up-to-date LinkedIn profile data, Success.ai provides everything you need with pinpoint precision. By tapping into LinkedIn company data, you’ll have access to over 40 critical data points per profile, including education, professional history, and skills.
Key Benefits of Success.ai’s LinkedIn Data: Our LinkedIn data solution offers more than just a dataset. With GDPR-compliant data, AI-enhanced accuracy, and a price match guarantee, Success.ai ensures you receive the highest-quality data at the best price in the market. Our datasets are delivered in Parquet format for easy integration into your systems, and with millions of profiles updated daily, you can trust that you’re always working with fresh, relevant data.
Global Reach and Industry Coverage: Our LinkedIn data covers professionals across all industries and sectors, providing you with detailed insights into businesses around the world. Our geographic coverage spans 259M profiles in the United States, 22M in the United Kingdom, 27M in India, and thousands of profiles in regions such as Europe, Latin America, and Asia Pacific. With LinkedIn company data, you can access profiles of top companies from the United States (6M+), United Kingdom (2M+), and beyond, helping you scale your outreach globally.
Why Choose Success.ai’s LinkedIn Data: Success.ai stands out for its tailored approach and white-glove service, making it easy for businesses to receive exactly the data they need without managing complex data platforms. Our dedicated Success Managers will curate and deliver your dataset based on your specific requirements, so you can focus on what matters most—reaching the right audience. Whether you’re sourcing employee data, LinkedIn profile data, or recruiting data, our service ensures a seamless experience with 99% data accuracy.
Key Use Cases:
LinkedIn URL: Access direct links to LinkedIn profiles for immediate insights. Full Name: Verified first and last names. Job Title: Current job titles, and prior experience. Company Information: Company name, LinkedIn URL, domain, and location. Work and Per...
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The global real estate automation software market size was valued at USD 6.5 billion in 2023 and is projected to reach USD 15.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% during the forecast period. The significant growth factor contributing to this market is the increasing need for efficiency and accuracy in real estate operations, driven by technological advancements and the rising adoption of automated solutions across the industry.
One of the primary growth factors for the real estate automation software market is the growing demand for streamlined operations and reduced manual intervention. With the rapid urbanization and increasing property transactions globally, real estate professionals are seeking ways to automate administrative tasks such as property listings, client management, transaction processing, and financial reporting. Automation helps in minimizing human errors, enhancing productivity, and providing better customer service, thus driving the market growth.
The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics is another crucial factor bolstering the market. These technologies enable real estate professionals to analyze vast datasets, predict market trends, and make data-driven decisions. AI-powered chatbots, for instance, can assist in customer inquiries and provide quick responses, thereby improving customer engagement and satisfaction. The ability to leverage these technologies for enhanced decision-making and operational efficiency is propelling the adoption of real estate automation software.
Additionally, the rising trend of remote work and the increasing usage of mobile applications are significantly influencing the market. Real estate professionals are now relying on mobile-based applications to manage their work on-the-go. These applications offer features like virtual tours, digital document signing, and real-time notifications, which enhance the overall user experience. The convenience of accessing real estate information and performing tasks remotely is contributing to the widespread adoption of automation software in the industry.
Real Estateing Software plays a pivotal role in transforming the way real estate professionals manage their operations. This software provides a comprehensive platform that integrates various functionalities such as property management, client communication, and transaction processing. By utilizing Real Estateing Software, firms can streamline their workflows, reduce manual errors, and enhance overall productivity. The software's ability to centralize data and automate routine tasks allows real estate professionals to focus on strategic decision-making and customer engagement. As the demand for efficient and effective real estate management solutions continues to rise, Real Estateing Software is becoming an indispensable tool for industry players looking to stay competitive in a rapidly evolving market.
From a regional perspective, North America holds a significant share in the real estate automation software market, attributed to the early adoption of advanced technologies and the presence of key market players in the region. The Asia Pacific region is expected to witness the highest CAGR during the forecast period, driven by rapid urbanization, increasing real estate investments, and the growing adoption of technology in emerging economies like China and India. Europe also presents lucrative opportunities due to the modernization of real estate practices and the increasing focus on enhancing operational efficiency.
In the real estate automation software market, the component segment is bifurcated into software and services. The software segment includes solutions designed to automate various real estate operations, while the services segment encompasses consulting, implementation, and maintenance services. The software component is further categorized into property management software, customer relationship management (CRM) software, and transaction management software, among others.
The software segment dominates the market owing to the increasing need for comprehensive solutions that can manage multiple aspects of real estate operations. Property management software, for instance, automates tasks such as tenant screening, lease tracking, and maintenance scheduling, t
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This dataset consists of 50,000 job postings spanning multiple industries, locations, experience levels, and salary brackets. It provides structured insights into job market trends, required skills, and salary distributions, making it useful for AI-driven job recommendation systems, salary prediction models, hiring trend analysis, and skill demand forecasting.
The dataset can be leveraged by data scientists, HR professionals, job seekers, and researchers to analyze hiring patterns, predict salaries, and build personalized job-matching systems using machine learning.
Column Name | Description |
---|---|
job_title | The specific title of the job position (e.g., Software Engineer, Marketing Manager). Unique Values: 639. |
company | Name of the company offering the position (e.g., Google, Amazon, Microsoft). Unique Values: 37,022. |
location | The city or region where the job is based. Unique Values: 7. Most Common: Toronto (14%), London (14%). |
experience_level | The required seniority level (Entry-Level: 34%, Mid-Level: 33%, Senior-Level: 33%). Unique Values: 3. |
salary_range | Salary brackets from $40,000 to $150,000. Mean: $95.1K, Std Dev: $31.8K. |
industry | The job sector (e.g., Software, Manufacturing). Unique Values: 7. Most Common: Software (15%). |
required_skills | List of skills required for the job (e.g., Python, SQL, Sales & Merchandising). Unique Values: 1,559. Most Common: Python (1%). |
PS: If you find this dataset helpful, please consider upvoting :)
According to our latest research, the global AI-Enhanced Real Estate Lead Nurturing market size reached USD 1.84 billion in 2024, reflecting the rapid adoption of artificial intelligence in property marketing and sales. The market is expected to grow at a robust CAGR of 20.7% during the forecast period, reaching approximately USD 11.6 billion by 2033. This remarkable growth is primarily driven by the increasing need for automation, improved customer engagement, and data-driven decision-making in the real estate sector. As per the latest research, the surge in digital transformation initiatives and the integration of advanced AI-powered tools are significantly enhancing lead nurturing processes, setting a new benchmark for efficiency and personalization in the industry.
One of the key growth factors propelling the AI-Enhanced Real Estate Lead Nurturing market is the escalating demand for personalized customer experiences. Real estate professionals are increasingly leveraging AI algorithms to analyze vast datasets, enabling them to predict buyer preferences, automate follow-ups, and deliver tailored property recommendations. This level of personalization not only increases the likelihood of conversion but also fosters long-term client relationships. The integration of natural language processing (NLP) and machine learning into customer relationship management (CRM) systems allows agents to respond to inquiries in real-time, prioritize high-value leads, and automate repetitive tasks, thereby maximizing productivity and reducing operational costs. As property buyers and renters continue to expect more proactive and responsive service, the adoption of AI-driven lead nurturing tools is anticipated to become a standard practice across the industry.
Another significant driver for market expansion is the increasing penetration of cloud technologies and mobile platforms. Cloud-based AI solutions offer real estate agencies and independent agents the flexibility to access client information, track interactions, and manage leads from any location. This is particularly advantageous in a sector where timely communication and mobility are critical to closing deals. Furthermore, the proliferation of mobile applications integrated with AI capabilities empowers agents to engage with prospects through chatbots, automated messaging, and virtual property tours, enhancing both the speed and quality of the lead nurturing process. The scalability and cost-effectiveness of cloud-based platforms are enticing even small and medium enterprises (SMEs) to invest in AI-enhanced tools, thereby democratizing access to advanced technology and leveling the competitive playing field.
The growing importance of data security and compliance is also shaping the trajectory of the AI-Enhanced Real Estate Lead Nurturing market. With increasing regulatory scrutiny on data privacy, especially in regions like Europe and North America, real estate organizations are prioritizing secure AI deployments that comply with global standards such as GDPR and CCPA. This has led to the development of robust on-premises AI solutions alongside cloud-based offerings, catering to diverse client needs and regulatory environments. The ability of AI systems to anonymize, encrypt, and manage sensitive customer data not only mitigates risks but also builds trust among clients, further accelerating market growth. As the industry continues to evolve, the synergy between advanced AI technologies and stringent data governance frameworks will be crucial in sustaining momentum and driving innovation.
Regionally, North America holds the largest share of the AI-Enhanced Real Estate Lead Nurturing market, accounting for over 38% of the global revenue in 2024. The region’s dominance is attributed to its early adoption of digital technologies, a highly competitive real estate landscape, and a strong presence of leading AI solution providers. Europe follows closely, driven by increasing investments in PropTech and a growing emphasis on customer-centric real estate services. The Asia Pacific region is emerging as the fastest-growing market, with a projected CAGR of 24.1% through 2033, fueled by rapid urbanization, expanding middle-class populations, and government initiatives to digitize real estate transactions. Latin America and the Middle East & Africa are also witnessing steady growth, supported by rising internet penetration and the gradual shift towards digital proper
Unlock the potential of the global writing, editing, and publishing industry with Success.ai's Small Business Contact Data. Our extensive database provides access to verified profiles of professionals worldwide, curated from a dataset that encompasses over 700 million global entries. This specialized collection includes work emails, phone numbers, and comprehensive professional information, tailored to meet the needs of small businesses and independent professionals in the writing, editing, and publishing sectors.
Why Choose Success.ai’s Small Business Contact Data?
Targeted Professional Data: Gain access to a niche market of small business owners and freelancers in the writing, editing, and publishing industries. Global Reach: Our dataset covers professionals from all over the world, enabling you to execute international marketing campaigns and network expansion. Verified Contact Information: Ensure the reliability of your outreach with work emails and phone numbers that are regularly updated and verified for accuracy. Data Features:
Comprehensive Profiles: Detailed insights into the professional lives of industry experts, including their job roles, career history, and areas of expertise. Industry-Specific Details: Information tailored to the nuances of the writing, editing, and publishing fields, helping you to better understand and target potential leads. Segmentation Options: Easily segment data by geographic location, professional experience, or specific industry niches such as freelance writers, independent publishers, or small press editors. Customizable Delivery and Integration: Success.ai offers flexible data solutions that can be customized to fit your specific requirements. Whether you need a one-time download or continuous API access for real-time data integration, our formats are designed to seamlessly integrate into your existing business workflows.
Competitive Pricing with Best Price Guarantee: We commit to providing not only the highest quality data but also the most affordable pricing in the industry. Our Best Price Guarantee ensures you receive the best market rate for your data needs.
Ideal Use Cases for Small Business Contact Data:
Direct Marketing Campaigns: Utilize accurate contact details to send personalized email or direct mail campaigns to industry professionals. Networking and Partnership Development: Connect with key industry players to forge partnerships or collaborate on publishing projects. Event Promotion: Target industry-specific events like writing workshops, book fairs, or literary conferences with tailored invitations. Market Research: Analyze trends in the publishing industry, track the rise of independent writing professionals, or assess market needs. Quality Assurance and Compliance:
Data Quality: Our data undergoes rigorous validation processes to maintain high accuracy and usefulness. Legal Compliance: All data collection and processing are performed in strict accordance with global data protection regulations, including GDPR. Support and Professional Consultation:
Dedicated Support: Our team is ready to assist you with any queries or custom requests regarding the dataset. Expert Consultation: Leverage our expertise in data-driven marketing to enhance your outreach strategies and achieve better results. Start Reaching Writing and Publishing Professionals Today: With Success.ai’s Small Business Contact Data, you can start connecting with writing, editing, and publishing professionals globally. Enhance your marketing efforts, expand your professional network, and grow your presence in the industry with our reliable and comprehensive data solutions.
Contact us to explore our offerings and take your business to the next level with tailored data that meets your exact needs.
Success.ai offers a comprehensive, enterprise-ready B2B leads data solution, ideal for businesses seeking access to over 150 million verified employee profiles and 170 million work emails. Our data empowers organizations across industries to target key decision-makers, optimize recruitment, and fuel B2B marketing efforts. Whether you're looking for UK B2B data, B2B marketing data, or global B2B contact data, Success.ai provides the insights you need with pinpoint accuracy.
Tailored for B2B Sales, Marketing, Recruitment and more: Our B2B contact data and B2B email data solutions are designed to enhance your lead generation, sales, and recruitment efforts. Build hyper-targeted lists based on job title, industry, seniority, and geographic location. Whether you’re reaching mid-level professionals or C-suite executives, Success.ai delivers the data you need to connect with the right people.
API Features:
Key Categories Served: B2B sales leads – Identify decision-makers in key industries, B2B marketing data – Target professionals for your marketing campaigns, Recruitment data – Source top talent efficiently and reduce hiring times, CRM enrichment – Update and enhance your CRM with verified, updated data, Global reach – Coverage across 195 countries, including the United States, United Kingdom, Germany, India, Singapore, and more.
Global Coverage with Real-Time Accuracy: Success.ai’s dataset spans a wide range of industries such as technology, finance, healthcare, and manufacturing. With continuous real-time updates, your team can rely on the most accurate data available: 150M+ Employee Profiles: Access professional profiles worldwide with insights including full name, job title, seniority, and industry. 170M Verified Work Emails: Reach decision-makers directly with verified work emails, available across industries and geographies, including Singapore and UK B2B data. GDPR-Compliant: Our data is fully compliant with GDPR and other global privacy regulations, ensuring safe and legal use of B2B marketing data.
Key Data Points for Every Employee Profile: Every profile in Success.ai’s database includes over 20 critical data points, providing the information needed to power B2B sales and marketing campaigns: Full Name, Job Title, Company, Work Email, Location, Phone Number, LinkedIn Profile, Experience, Education, Technographic Data, Languages, Certifications, Industry, Publications & Awards.
Use Cases Across Industries: Success.ai’s B2B data solution is incredibly versatile and can support various enterprise use cases, including: B2B Marketing Campaigns: Reach high-value professionals in industries such as technology, finance, and healthcare. Enterprise Sales Outreach: Build targeted B2B contact lists to improve sales efforts and increase conversions. Talent Acquisition: Accelerate hiring by sourcing top talent with accurate and updated employee data, filtered by job title, industry, and location. Market Research: Gain insights into employment trends and company profiles to enrich market research. CRM Data Enrichment: Ensure your CRM stays accurate by integrating updated B2B contact data. Event Targeting: Create lists for webinars, conferences, and product launches by targeting professionals in key industries.
Use Cases for Success.ai's Contact Data - Targeted B2B Marketing: Create precise campaigns by targeting key professionals in industries like tech and finance. - Sales Outreach: Build focused sales lists of decision-makers and C-suite executives for faster deal cycles. - Recruiting Top Talent: Easily find and hire qualified professionals with updated employee profiles. - CRM Enrichment: Keep your CRM current with verified, accurate employee data. - Event Targeting: Create attendee lists for events by targeting relevant professionals in key sectors. - Market Research: Gain insights into employment trends and company profiles for better business decisions. - Executive Search: Source senior executives and leaders for headhunting and recruitment. - Partnership Building: Find the right companies and key people to develop strategic partnerships.
Why Choose Success.ai’s Employee Data? Success.ai is the top choice for enterprises looking for comprehensive and affordable B2B data solutions. Here’s why: Unmatched Accuracy: Our AI-powered validation process ensures 99% accuracy across all data points, resulting in higher engagement and fewer bounces. Global Scale: With 150M+ employee profiles and 170M veri...
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This dataset supplements the manuscript, “Journalism, advertising, or something in between? How The School of the New York Times Teaches Journalists About Native Advertising” submitted as part of the PhD requirement in Social Sciences.Part 1 Dataset 1.1: Blank Interview Questionnaire (Raw) - This is the questionnaire and interviewer instructions used in the expert interview. The questionnaire has been anonymized to protect the identity of the interviewee.Dataset 1.2: Interview Transcript (Processed) - This is the full transcript of the expert interview, which was transcribed using Otter.ai and edited by the principle investigator. The transcript has been anonymized to protect the identity of the interviewee.Part 2Dataset 2.1: Blank Field Note Worksheet (Raw) - This worksheet was copied and used for each participant observation session.Dataset 2.2: Field Note Workbook (Processed) - This is the combined set of participant observation field notes generated as part of the study.Part 3Dataset 3.1: Course Video Files (Raw) - This file is a compilation of all 64 videos offered in the course studied. This data is restricted to protect the identity of the course instructor, who appears in each video and in most videos the instructor appears throughout the full length. Dataset 3.2: Course Video Transcripts (Processed)- This is the combined transcript of all 64 videos offered in the course studied, which was transcribed using Otter.ai and edited by the principle investigator. The transcript has been anonymized to protect the identity of the course instructor, who is not a participant in this study.Attachment 1: Human Research Ethics Committee ApplicationAttachment 2: Human Research Ethics Committee Approval LetterAttachment 3: Study Participation Consent FormAttachment 4: Data Management Plan
Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.
With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.
Why Choose Success.ai’s Ecommerce Market Data?
Verified Contact Data for Precision Outreach
Comprehensive Coverage of South-east Asia’s E-commerce Market
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles in E-commerce
Advanced Filters for Precision Campaigns
Regional and Market-specific Insights
AI-Driven Enrichment
Strategic Use Cases:
Marketing Campaigns and Digital Outreach
Market Research and Competitive Analysis
Partnership Development and Vendor Collaboration
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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The global blood test results analysis software market size was valued at approximately $1.5 billion in 2023 and is projected to reach around $3.2 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 8.7% during the forecast period. Key growth factors driving this market include the increasing prevalence of chronic diseases, advancements in diagnostic technologies, and a heightened focus on personalized medicine and preventive healthcare.
One of the primary growth factors is the rising incidence of chronic diseases such as diabetes, cardiovascular diseases, and cancer, which necessitates regular blood testing. These ailments require continuous monitoring to tailor individualized treatment plans effectively. Blood test results analysis software provides accurate and timely insights, which can significantly enhance patient outcomes. Additionally, the aging global population is contributing to the increased demand for diagnostic services, further propelling the market.
Another significant growth driver is the technological advancements in diagnostic tools and software. The integration of artificial intelligence (AI) and machine learning (ML) into blood test results analysis software has revolutionized the efficiency and accuracy of diagnosis. These technologies enable the software to analyze vast amounts of data quickly, identify patterns, and provide predictive analytics, thus aiding in early disease detection and better management. Moreover, the continuous evolution of IT infrastructure in healthcare facilities is supporting the adoption of sophisticated diagnostic software.
The growing trend towards personalized medicine and preventive healthcare is also fueling the market's growth. Personalized medicine involves tailoring medical treatment to the individual characteristics of each patient, which requires precise and detailed diagnostic information, often derived from blood tests. Preventive healthcare emphasizes early detection and intervention, reducing the long-term costs and improving patient outcomes. Blood test results analysis software plays a crucial role in both these healthcare paradigms by providing detailed, accurate, and timely data essential for making informed medical decisions.
Regionally, North America holds the largest market share due to the advanced healthcare infrastructure, high adoption rate of innovative technologies, and the presence of major market players. Europe follows closely, benefiting from a well-established healthcare system and increasing investments in healthcare IT. The Asia Pacific region is anticipated to witness the highest growth during the forecast period, driven by the expanding healthcare sector, rising awareness about early disease detection, and increasing government initiatives to improve healthcare services.
Within the blood test results analysis software market, the component segment is bifurcated into software and services. The software component dominates the market, attributed to the increasing reliance on digital platforms for diagnostic purposes. The software is designed to offer automated analysis, streamline data management, and provide comprehensive reporting capabilities. It integrates various data points to offer holistic insights, which are invaluable for healthcare providers aiming to deliver precise and effective patient care.
The software segment benefits significantly from continuous technological advancements. Innovations such as AI and ML algorithms enhance the software's ability to interpret complex datasets, identify anomalies, and predict potential health issues. These advancements not only improve diagnostic accuracy but also save time and reduce human error, contributing to the wider adoption of blood test results analysis software across healthcare settings.
Services, including installation, training, maintenance, and support, are also a critical component driving the market. The complexity of the software necessitates ongoing support and training for healthcare professionals to utilize its full potential. Companies offering robust after-sales support and comprehensive training programs are more likely to gain customer trust and achieve higher market penetration. Additionally, the recurring nature of these services creates a steady revenue stream for market players.
The integration of cloud-based platforms in the services segment is becoming increasingly popular. Cloud-based solutions offer several advantages, such a
Success.ai’s Beauty & Cosmetics Data for Cosmetics, Beauty & Wellness Professionals Worldwide delivers a powerful dataset tailored to connect businesses with key stakeholders in the global beauty and wellness industries. Covering professionals such as product developers, brand managers, wellness coaches, and salon owners, this dataset provides verified work emails, phone numbers, and actionable professional insights.
With access to over 700 million verified global profiles and detailed insights from 170 million professional datasets, Success.ai ensures your outreach, marketing, and strategic initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is ideal for businesses aiming to lead in the competitive beauty and wellness market.
Why Choose Success.ai’s Beauty & Cosmetics Data?
Verified Contact Data for Effective Outreach
Comprehensive Global Coverage
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Comprehensive Professional Profiles
Advanced Filters for Precision Targeting
Global Trend Insights and Market Data
AI-Driven Enrichment
Strategic Use Cases:
Marketing and Brand Outreach
Product Development and Innovation
Sales and Partnership Development
Market Research and Competitive Analysis
Why Choose Success.ai?
In 2021, the market for artificial intelligence (AI) in marketing was estimated at ***** billion U.S. dollars. The source projected that the value would increase to more than ***** billion by 2028. What is AI and who uses it? Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around *** billion U.S. dollars in 2021. AI at the marketing wheel AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than ** percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly ** percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.