Market Overview
The
Global Generative AI in Jobs Market size is estimated to reach
USD 352.5 million in 2024 and is further anticipated to value
USD 1,764.3 million by 2033, at a CAGR of 19.6%.
Generative AI is the process of using artificial intelligence to create new content, data, or output based on learned patterns. They play a significant role in automating the tasks of humans, helping to increase human ability, and driving development and innovation across various job markets. Written content such as articles, reports, & product descriptions can be automatically generated by AI-powered platforms as they can easily analyze historical data, understand language structures, and generate human-like text. They are particularly useful in job marketing by automating tasks, enhancing productivity, and enabling new capabilities across many industries.
AI helps automate, debug, and code optimization which assists developers to improve their efficiency and speed. These algorithms are used for analyzing financial data, predicting market trends, and automating trading decisions based on historical data. AI-powered chatbots help handle routine customer queries, provide information, and engage in natural language conversations. These factors allow humans to focus on real complex issues which improves customer satisfaction by providing instant response and support, which drives the growth of the jobs market using
artificial intelligence. They can also assist in creating logo designs, website layouts, or artwork based on input parameters and design preferences.
Key Takeaways
- Market size: The global generative AI in jobs market size is expected to grow by 1,349.8 million, at a CAGR of 19.6 % during the forecasted period of 2025 to 2033.
- Market Definition: Generative AI in jobs uses the AI algorithm to create new content, solutions, or ideas relevant to the job market.
- Job field Analysis: Marketing is forecasted to hold the largest market share of 31.5 % and dominate the generative AI in the jobs market in 2024.
- Technology Analysis: Natural computing processing is projected to be the dominant force in the market based on technology capturing the largest revenue share of 43.1% in 2024.
- Application Analysis: Content creation as application is expected to witness significant growth with the highest revenue share of 33.6 % throughout the forecast period.
- Regional Analysis: North America is anticipated to dominate the generative AI in the jobs market, capturing a revenue share of 34.1 % in 2024.
Use Cases
- Design and creativity: Generative AI platforms are used to design concepts, logo variations, website layouts, and graphic elements according to user design guidelines. It is also used in creating digital art, music compositions, and even generating new fashion designs.
- Customer services and support: Chabot’s powered by AI is capable of responding instantly to customer queries, scheduling appointments, and handling routine support tasks, improving customer service efficiency.
- Healthcare and Medical Diagnostics: They help analyze medical images (MRI, CT scans, X-rays) to assist radiologists in diagnosing diseases, detecting abnormalities, and planning treatments.
- Education and Training: It provides personalized learning experiences, generates adaptive learning paths, and offers real-time feedback to students.
Market Dynamic
Drivers
Improving Operational Efficiency and Cost saving:Generative AI is capable of doing repetitive tasks which leads to saving time and resources by replacing human labor. They are continuously used in the field of jobs to increase productivity, particularly for routine tasks that require significant human creativity. They are revolutionizing job markets by streamlining candidate screening processes and enhancing efficiency, and accuracy in the recruitment process.
Data-driven Evolution:The availability of big data influenced the development and learning capabilities of AI systems which could access a vast amount of data by allowing this system to learn and adapt. These constant accesses to big data enable AI to evolve, innovate, and deliver valuable insights and solutions, transforming various job roles within these industries, which drives the growth of this market.
Restraints
Technical Hurdles and Concerns about Job Replacement:The rapid growth of big data has significantly impacted the jobs market particularly due to the rise of AI-powered platforms which require uninterrupted functionality. AI is capable of operating constantly without fatigue or breaks offering substantial advantages, leading to increased efficiency and productivity. This advancement raised concerns about potential job displacement which can automate many tasks without the need for humans to work. These factors are posing challenges in navigating the evolving job landscape driven by AI technologies.
Data Privacy and security concerns:The data needed for the training generative AI raises concerns about data privacy, security, and content quality. The jobs market is obstructed as the content generated by AI is not of high standards which often requires accuracy, relevance, and quality check by humans to publish.
Opportunities
Improve creativity and job creation:Generative AI can increase human creativity in industries like design, music, and literature by generating drafts and prototypes which allows humans to focus on more creative aspects while automating repetitive tasks. They are also creating new roles in the job market like AI ethicists, trainers, and operations specialists.
Improve decision-making and personalized services:
They can improve the decision-making process by providing data-driven insights and predictions which opens a new opportunity in the job market contributing to more informed decision-making within organizations. They can also generate personalized content, educational resources, or recommendations for media and entertainment content.
Trend
Adoption of AI in Remote work:AI is extensively used in managing workflows, automating scheduling tasks, and facilitating communication among remote teams. There is rising development of user-friendly AI tools and platforms that don't require extensive technical expertise which is beneficial for non-technical users.
Ethical consideration and AI literacy:There is a growing need to focus on ethical considerations related to AI systems which could address issues like bias in AI algorithms, the impact of AI on jobs, and ensuring ethical AI usage. There is popular trend of learning AI which involves understanding how AI operates, effectively using AI tools, and navigating the ethical and social implications of AI.
Research Scope and Analysis
By Job Field:
Generative AI in jobs market is segmented into marketing, human resources, research, and others based on the job field. Marketing is expected to dominate the market based on job field with the largest
revenue share of 31.5% in 2024. It helps create personalized recommendations, optimize ad campaigns, and generate content which plays a crucial role in marketing and advertising. It improves customer engagement and increases conversion rate through compelling commercials, social media content, and campaigns. It is helpful for marketers to refine their strategies by providing data-driven insights and predictive analytics.
Generative AI is gaining popularity in human resource sectors as it is employed for analyzing workforce data for talent management, automating recruitment processes, and optimizing employee experiences. It is capable of assisting HR professionals in identifying patterns, making data-driven decisions, and improving overall organizational performance. Research is anticipated to show notable growth by the end of 2024 as it helps generate synthetic data, conduct scenario modeling, analyze complex systems, and explores innovative approaches to address research challenges. Various disciplines like computer science, engineering, and social sciences require AI technologies to improve research capabilities and accelerate data analysis, which increases discoveries across diverse domains.
By Technology
Natural Language Processing (NLP) is likely to dominate generative AI in the jobs market with the largest
revenue share of 43.1% by the end of 2024. This dominance is due to NLP’s increasing demand for automated writing tasks, chatbot systems, and content generation. Various industries and organizations are using NLP to improve customer interactions, streamline communication processes, and generate personalized content. Computer vision is growing rapidly due to the rising need for image and video analysis solutions.
Organizations and businesses are automating tasks such as image recognition, object detection, and video analysis which lead to improved efficiency and accuracy in various job roles as they benefit from computer vision applications. The constant growth in computer vision algorithms and hardware increases the adoption of generative AI solutions. Machine learning is expected to experience growth due to its applicability in many industries.
Algorithms in
machine learning are used for tasks like predictive modeling, anomaly detection, and recommendation systems which drive the efficiency and productivity of multiple job roles. Generative Adversarial Networks which is a machine learning, are widely used in generating coherent and contextually appropriate text, making them valuable for automated writing tasks, Chabot systems, and content generation applications. It can also help to create a synthetic product image which reduces the need for expensive photoshoots and allows businesses to showcase a diverse range of products.
By Application
Content creation is likely to lead the generative AI in the jobs market with the highest revenue
share of 33.6% by the end of 2024. AI allows for the automation of content development across many formats by writing articles, blog posts, social media captions, and product descriptions. These are particularly beneficial for content creators, e-commerce firms, and marketing teams. Professionals like graphic designers, architects, fashion designers, and artists use generative AI to support idea generation, prototyping, and exploring multiple design alternatives. These help create synthetic data that replicate real-world scenarios, especially in situations where obtaining real data is limited or costly.
Data analysis is likely to be the major application in the coming years influencing the market due to its ability to automate complex data processing tasks and generate meaningful insights. AI is capable of analyzing large volumes of data, identifying patterns, and making data-driven predictions and recommendations. Data analysis plays an important role in decision-making, risk assessment, and customer targeting for industries such as finance, healthcare, and marketing. Generative AI smoothens the process of data analysis improves accuracy, and enables organizations to extract valuable insights from their data more efficiently.
The Global Generative AI in Jobs Market Report is segmented based on the following:
By Job Field
- Marketing
- Human Resource
- Research
- Others
By Technology
- Natural Language Processing
- Computer Vision
- Machine Learning
- Others
By Application
- Content Creation
- Data Analysis
- Customer Services
- Others
Regional Analysis
North America is expected to dominate the generative AI in the jobs market with the largest
revenue share of 34.1% by the end of 2024. This region is leading due to strong investment, cutting-edge research institutions, and supportive regulatory frameworks. The strong ecosystem of this region increases career opportunities as generative AI advances and finds application. There is a higher concentration of IT companies and startups in this region which actively engaged in ongoing AI research and development, driving the growth of this market. There is a huge pool of highly skilled professionals in generative AI available in this region to drive ambitious projects forward.
They can also afford a huge pool of talent around the world skilled in data science, machine learning, and AI due to the availability of leading universities, research institutions, & tech hubs in this region. Ongoing investments in AI research, favorable regulatory environments, and collaborative initiatives between the technology and biotech industries are expected to continue driving the region's market share. Well-known educational institutions and universities in the region are offering specialized courses and research opportunities to attract skilled AI talents. These factors further favor North America's position as a hub for generative AI careers.
By Region
North America
Europe
- Germany
- The U.K.
- France
- Italy
- Russia
- Spain
- Benelux
- Nordic
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- ANZ
- ASEAN
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Rest of Latin America
Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Israel
- Egypt
- Rest of MEA
Competitive Landscape
Generative AI in the Jobs market is highly competitive, with a few established players and new entrants competing for market share. These companies provide a diverse array of AI and machine learning solutions aimed at improving Job processes and elevating customer satisfaction. There are other significant players in the generative AI market, such as IBM, Microsoft, Google, and Amazon, which are actively investing in the development of generative AI technologies for various applications, including the jobs market.
Some of the prominent players in the global generative AI in Jobs market are:
- Google
- Microsoft Corporation
- NVIDIA
- Adobe Inc.
- IBM Corporation
- Salesforce
- OpenAI
- Tesla
- Others
Recent Development
- In October 2023, LinkedIn introduced a new recruiter platform, Recruiter 2024, powered by generative AI to help companies find the right candidates from the talent pool on the platform.
- In August 2023, Ceipal, an AI-powered total talent acquisition platform, integrated ChatGPT- a form of generative AI technology — into its applicant tracking system to empower recruiters and staffing professionals to work more efficiently and effectively, increasing their productivity and enabling them to spend more time on strategic initiatives and to focus on building and nurturing customer and candidate relationships.
- In June 2023, Accenture announced an investment of USD 3.0 Billion in its Data & AI practice to help clients across all industries rapidly and responsibly advance and use AI to achieve greater growth, efficiency, and resilience.
- In March 2023, Phenom announced Experience+ (X+), a new platform with generative AI capability that increases efficiencies by automating content creation, surfacing actionable intelligence, and eliminating time-consuming tasks for candidates, employees, recruiters, managers, HR and HRIS teams.
- In February 2023, hireEZ, announced to use AI-powered product that aims to drive efficiencies by allowing recruiters to auto-populate tailored emails based on job descriptions and work more effectively at scale with multiple applicants.
Report Details
| Report Characteristics |
| Market Size (2024) |
USD 352.5 Mn |
| Forecast Value (2033) |
USD 1,764.3 Mn |
| CAGR (2023-2032) |
19.6% |
| Historical Data |
2018 – 2023 |
| Forecast Data |
2024 – 2033 |
| Base Year |
2023 |
| Estimate Year |
2024 |
| Report Coverage |
Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc. |
| Segments Covered |
By Job Fields (Marketing, Human Resources, Research, and Other), By Technology (Natural Language Processing, Computer Vision, Machine Learning, and Other), By Application (Content Creation, Data Analysis, Customer Services, and Others) |
| Regional Coverage |
North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
|
| Prominent Players |
Google, Microsoft Corporation, NVIDIA, Adobe Inc., IBM Corporation, Salesforce, OpenAI, Tesla, and Other Key Players |
| Purchase Options |
We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively. |
Frequently Asked Questions
The Global Generative AI in Jobs Market size is estimated to have a value of USD 352.5 million in 2024 and is expected to reach USD 1,764.3 million by the end of 2033.
North America is expected to be the largest market share for the Global Generative AI in Jobs Market with a share of about 34.1% in 2024.
Some of the major key players in the Global Generative AI in Jobs Market are IBM, Microsoft, Google, and many others.
The market is growing at a CAGR of 19.6 percent over the forecasted period.