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Ai Builder Market

ID: MRFR/ICT/32654-HCR
100 Pages
Aarti Dhapte
October 2025

AI Builder Market Research Report: By Application (Natural Language Processing, Computer Vision, Robotics, Predictive Analytics), By Deployment Model (Cloud-Based, On-Premises, Hybrid), By End User (IT and Telecom, Healthcare, Retail, Manufacturing), By Component (Solutions, Services) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035.

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Ai Builder Market
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Ai Builder Market Summary

As per MRFR analysis, the AI Builder Market Size was estimated at 27.44 USD Billion in 2024. The AI Builder industry is projected to grow from 31.37 USD Billion in 2025 to 119.51 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 14.31 during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The AI Builder Market is experiencing robust growth driven by technological advancements and evolving user needs.

  • The market is witnessing increased adoption of no-code platforms, enabling users to create AI solutions without extensive programming knowledge.
  • Customization and personalization are becoming focal points, as businesses seek tailored AI applications to enhance user engagement.
  • Integration of AI with IoT technologies is gaining traction, particularly in North America, where the market is the largest.
  • Rising demand for automation and enhanced data analytics capabilities are key drivers propelling growth in both the Natural Language Processing and Cloud-Based segments.

Market Size & Forecast

2024 Market Size 27.44 (USD Billion)
2035 Market Size 119.51 (USD Billion)
CAGR (2025 - 2035) 14.31%

Major Players

Microsoft (US), Google (US), IBM (US), Amazon (US), Salesforce (US), SAP (DE), Oracle (US), NVIDIA (US), C3.ai (US)

Ai Builder Market Trends

The AI Builder Market is currently experiencing a transformative phase characterized by rapid advancements in artificial intelligence technologies. Organizations across various sectors are increasingly adopting AI-driven solutions to enhance operational efficiency and improve decision-making processes. This trend is fueled by the growing demand for automation and the need for data-driven insights. As businesses recognize the potential of AI to streamline workflows and reduce costs, investments in AI Builder tools are likely to surge. Furthermore, the integration of machine learning and natural language processing into AI Builder platforms appears to be reshaping the landscape, enabling users to create sophisticated applications with minimal coding expertise. In addition to technological advancements, the AI Builder Market is witnessing a shift towards user-centric design. Companies are focusing on developing intuitive interfaces that empower non-technical users to leverage AI capabilities effectively. This democratization of AI tools suggests a broader acceptance and utilization of these technologies across diverse industries. As the market evolves, collaboration between AI developers and end-users is expected to foster innovation and drive the creation of tailored solutions that address specific business challenges. Overall, the AI Builder Market is poised for substantial growth, driven by technological innovation and a commitment to user-friendly design.

Increased Adoption of No-Code Platforms

The AI Builder Market is seeing a rise in no-code platforms that allow users to create applications without extensive programming knowledge. This trend is making AI tools more accessible to a wider audience, enabling businesses to harness AI capabilities without relying solely on technical teams.

Focus on Customization and Personalization

There is a growing emphasis on customization within the AI Builder Market. Organizations are seeking tailored solutions that meet their unique needs, leading to the development of more flexible AI tools that can adapt to various business requirements.

Integration of AI with IoT Technologies

The convergence of AI and Internet of Things (IoT) technologies is becoming increasingly prevalent. This integration allows for enhanced data collection and analysis, enabling businesses to make more informed decisions and optimize their operations.

Ai Builder Market Drivers

Rising Demand for Automation

The AI Builder Market is experiencing a notable surge in demand for automation solutions across various sectors. Organizations are increasingly seeking to streamline operations, reduce costs, and enhance efficiency through automation. According to recent data, the automation market is projected to reach a value of approximately 200 billion dollars by 2026, indicating a robust growth trajectory. This trend is driving the adoption of AI builder tools that enable businesses to create automated workflows without extensive coding knowledge. As companies recognize the potential of AI-driven automation to improve productivity and decision-making, the AI Builder Market is likely to witness accelerated growth.

Growing Emphasis on User Experience

User experience is emerging as a pivotal factor in the AI Builder Market. As businesses strive to create intuitive and engaging applications, the demand for AI builder tools that prioritize user-centric design is increasing. Companies are recognizing that a seamless user experience can significantly impact customer satisfaction and retention. The market for user experience design is projected to grow substantially, with estimates suggesting it could reach 100 billion dollars by 2027. This trend is prompting AI builder platforms to incorporate features that enhance usability, thereby attracting a broader range of users and driving growth within the AI Builder Market.

Enhanced Data Analytics Capabilities

In the AI Builder Market, the ability to harness and analyze vast amounts of data is becoming increasingly critical. Organizations are leveraging AI builder tools to develop sophisticated analytics solutions that provide actionable insights. The AI Builder is expected to exceed 300 billion dollars by 2025, reflecting a growing emphasis on data-driven decision-making. AI builders facilitate the creation of custom analytics applications, allowing businesses to tailor solutions to their specific needs. This trend underscores the importance of integrating advanced analytics capabilities into AI builder platforms, thereby enhancing their value proposition in the market.

Integration of AI with Cloud Technologies

The convergence of AI and cloud technologies is reshaping the AI Builder Market. As organizations migrate to cloud-based solutions, the demand for AI builder tools that can seamlessly integrate with cloud platforms is on the rise. This integration allows for enhanced scalability, flexibility, and accessibility of AI applications. The cloud computing market is anticipated to surpass 800 billion dollars by 2025, indicating a robust growth environment for AI builders that leverage cloud capabilities. This trend suggests that AI builder platforms that offer cloud integration will likely gain a competitive edge, further propelling the growth of the AI Builder Market.

Increased Focus on Security and Compliance

Security and compliance are becoming paramount concerns within the AI Builder Market. As organizations adopt AI solutions, they must navigate complex regulatory landscapes and ensure data protection. The market for cybersecurity solutions is projected to reach 300 billion dollars by 2024, highlighting the critical need for secure AI applications. AI builder tools that incorporate robust security features and compliance frameworks are likely to attract more users, as businesses prioritize safeguarding sensitive information. This focus on security not only enhances trust in AI solutions but also drives innovation within the AI Builder Market, as developers seek to create compliant and secure applications.

Market Segment Insights

By Application: Natural Language Processing (Largest) vs. Computer Vision (Fastest-Growing)

In the AI Builder Market, the Natural Language Processing (NLP) segment holds the largest share, demonstrating its widespread integration across various industries, including customer service, finance, and healthcare. This segment significantly transforms how businesses communicate with their clients, providing enhanced user interactions and automating tasks that require language comprehension. Following closely is the Computer Vision segment, which is rapidly gaining traction due to advancements in imaging technology and its application in sectors such as security, automotive, and retail. The growth in these segments is driven by increasing data generation and the need for automated insights from unstructured data. While NLP thrives on the demand for conversational AI and chatbots, Computer Vision is propelled by the rise of autonomous systems and real-time analytics. Together, these segments reflect the expanding capabilities of AI technologies, paving the way for innovative applications and improved efficiency in diverse fields.

Natural Language Processing (Dominant) vs. Predictive Analytics (Emerging)

Natural Language Processing (NLP) has emerged as the dominant application in the AI Builder Market, characterized by its profound ability to analyze and understand human language. This robust segment is widely adopted for creating chatbots, enhancing customer engagement, and automating content generation. Meanwhile, Predictive Analytics serves as an emerging segment that focuses on analyzing historical data to predict future outcomes. It is increasingly utilized in sectors like finance and supply chain management for better decision-making processes. The NLP segment benefits from advancements in deep learning and linguistic models, while Predictive Analytics is gaining popularity due to the growing emphasis on data-driven business strategies, making both segments vital to the AI ecosystem.

By Deployment Model: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the AI Builder Market, the deployment model segment showcases a significant distribution of market share among cloud-based, on-premises, and hybrid solutions. Cloud-based models dominate the landscape due to their scalability, accessibility, and ability to leverage powerful cloud infrastructure. In contrast, on-premises solutions, while currently holding a smaller market share, are rapidly gaining traction as businesses prioritize security, control, and compliance over operational flexibility. Hybrid models are also witnessing interest as they blend the benefits of both cloud and local infrastructures, catering to specific organizational needs.

Deployment Models: Cloud-Based (Dominant) vs. On-Premises (Emerging)

Cloud-based deployment models represent the dominant force in the AI Builder Market, capitalizing on the ongoing digital transformation and the growing demand for seamless access to AI capabilities. Their appeal lies in features such as real-time updates, lower upfront costs, and ample storage, making them suitable for diverse applications. On the other hand, on-premises models are emerging strongly, particularly among enterprises needing stringent data privacy and security measures. Organizations with legacy systems often opt for these solutions to maintain control over their data and infrastructure, resulting in a steady rise in their adoption.

By End User: IT and Telecom (Largest) vs. Healthcare (Fastest-Growing)

In the AI Builder Market, the End User segment is predominantly characterized by IT and Telecom, which holds a significant share of the market. This sector leverages AI solutions for optimizing network systems, enhancing customer experiences, and improving operational efficiency. Following closely, the Healthcare sector is rapidly gaining ground as it increasingly integrates AI technologies for diagnostics, patient care, and administrative processes.

IT and Telecom: Dominant vs. Healthcare: Emerging

IT and Telecom remains dominant in the AI Builder Market, driven by the need for innovation and efficiency. Companies in this segment typically invest heavily in AI applications to enhance communication networks and manage vast data sets efficiently. On the other hand, the Healthcare sector is recognized as an emerging force, with a dramatic rise in the adoption of AI for predictive analytics, patient management systems, and telemedicine solutions. The COVID-19 pandemic has accelerated this trend, showcasing how AI can enhance healthcare outcomes and operational resilience.

By Component: Solutions (Largest) vs. Services (Fastest-Growing)

The AI Builder Market is currently witnessing a significant distribution in its component segments, with Solutions representing the largest share. This dominance is driven by the increasing demand for ready-to-use AI applications that enhance operational efficiencies across various industries. Solutions are tailored to meet specific business requirements, making them highly sought after by organizations seeking quick implementation and immediate ROI. In contrast, Services are rapidly gaining traction, emerging as the fastest-growing segment. This growth can be attributed to the rising need for customized AI solutions as businesses aim to integrate AI capabilities into their existing processes and operations effectively.

Solutions (Dominant) vs. Services (Emerging)

Solutions in the AI Builder Market are characterized by their comprehensive offerings, which enable businesses to deploy AI technologies without significant technical overhead. These solutions often come with features such as user-friendly interfaces, scalability, and extensive support, making them appealing to a broad range of users from startups to established enterprises. Meanwhile, Services stand out as an emerging segment, driven by the need for specialized expertise to implement, maintain, and optimize AI systems. As organizations look to harness the full potential of AI, they increasingly seek services that offer tailored strategies, integration assistance, and ongoing support, thus positioning Services as a critical component for future advancements in the market.

Get more detailed insights about Ai Builder Market

Regional Insights

The AI Builder Market revenue in 2023 is valued at 21.0 USD Billion, showing significant growth potential across regional markets. North America is the leading region with a market value of 9.5 USD Billion, projected to reach 32.5 USD Billion by 2032, highlighting its dominant position due to advanced technological infrastructure and substantial investment in AI innovations. Europe follows with a valuation of 5.0 USD Billion in 2023, expected to grow to 17.5 USD Billion, reflecting heightened demand for AI solutions across various industries.

The APAC region showcases promising growth with a current valuation of 4.0 USD Billion, anticipated to rise to 14.0 USD Billion, fueled by increasing adoption of AI technologies among emerging markets. In contrast, South America and MEA are comparatively smaller segments, valued at 1.0 USD Billion and 1.5 USD Billion, respectively, in 2023. However, they present significant growth opportunities, with South America projected to reach 3.5 USD Billion and MEA 2.5 USD Billion by 2032.

These regions may benefit from scalabilities in AI solutions as local industries strive to compete on a scale, making the AI Builder Market segmentation diverse and dynamic.

Figure3: AI Builder Market, By Regional, 2023 & 2032

Ai Builder Market
 Regional Image

Key Players and Competitive Insights

The AI Builder Market has seen remarkable growth and evolution, driven by the increasing demand for artificial intelligence solutions across various industries. Companies are actively pursuing innovation, aiming to enhance their capabilities in AI development and deployment. The competitive landscape is characterized by both established tech giants and emerging startups, each vying for market share by offering diverse AI tools and platforms. Key players are focusing on strategic partnerships, acquisitions, and product innovations to capture customer attention and address the rising need for AI-driven solutions.

This dynamic environment requires market participants to stay ahead of trends and continually adapt to technological advancements and customer preferences.

Hewlett Packard Enterprise has carved out a significant presence within the AI Builder Market due to its robust infrastructure and commitment to AI innovation. The company leverages its deep expertise in data analytics and computing power to deliver sophisticated AI solutions tailored to various enterprise needs. This positioning allows Hewlett Packard Enterprise to offer scalable and efficient applications that facilitate AI integration into existing business operations. Their strengths lie in their extensive portfolio that includes high-performance computing systems, edge computing solutions, and advanced software platforms designed to enable organizations to harness AI's full potential.

The company's strong focus on security and data privacy further enhances its appeal among enterprises looking to implement AI solutions in a compliant manner.

Oracle is another leading player in the AI Builder Market, recognized for its comprehensive suite of AI services that leverage cloud technology. By integrating AI capabilities into its cloud applications, Oracle provides businesses with advanced analytics, automation, and personalized insights. The company's strengths include its extensive experience in database management and enterprise software, allowing it to offer seamless integration of AI features into existing workflow systems. Oracle’s commitment to enhancing its AI solutions through continuous innovation and updates positions it favorably in a competitive landscape.

Moreover, its focus on user-friendly interfaces and customer support ensures businesses can easily adapt and utilize Oracle's AI tools, solidifying its role as a prominent contender in the AI Builder Market.

Key Companies in the Ai Builder Market market include

Industry Developments

Recent developments in the AI Builder Market show a strong emphasis on innovation and growth among major players. Hewlett Packard Enterprise has ramped up its AI initiatives, focusing on providing advanced computing and analytics solutions. Oracle continues to enhance its cloud infrastructure tailored for AI applications, which is elevating its competitive edge. Tencent has announced strategic partnerships to expand its AI capabilities, while Accenture is investing heavily in AI to transform business processes. SAP's recent launches include AI-driven business solutions aimed at increasing operational efficiency.

Meanwhile, Microsoft and Amazon are locked in competition in cloud-based AI services, with both companies making substantial advancements in machine learning frameworks. Facebook, now under Meta, is also pursuing robust AI research to support its metaverse strategy. IBM's acquisition of AI startups reflects its commitment to bolster its AI offerings. Notably, NVIDIA's growing market valuation and its partnerships with cloud service providers are making significant waves in the AI landscape. Growth by companies like Adobe and Salesforce in AI-enhanced productivity tools is further impacting market dynamics, showing a clear inclination toward understanding and leveraging AI technology for diverse applications.

Future Outlook

Ai Builder Market Future Outlook

The AI Builder Market is projected to grow at a 14.31% CAGR from 2024 to 2035, driven by advancements in machine learning, increased automation, and demand for personalized solutions.

New opportunities lie in:

  • Development of industry-specific AI solutions for healthcare and finance sectors.
  • Integration of AI Builder tools with existing enterprise software platforms.
  • Expansion into emerging markets with tailored AI applications for local businesses.

By 2035, the AI Builder Market is expected to be a pivotal component of global technology infrastructure.

Market Segmentation

Ai Builder Market End User Outlook

  • IT and Telecom
  • Healthcare
  • Retail
  • Manufacturing

Ai Builder Market Component Outlook

  • Solutions
  • Services

Ai Builder Market Application Outlook

  • Natural Language Processing
  • Computer Vision
  • Robotics
  • Predictive Analytics

Ai Builder Market Deployment Model Outlook

  • Cloud-Based
  • On-Premises
  • Hybrid

Report Scope

MARKET SIZE 202427.44(USD Billion)
MARKET SIZE 202531.37(USD Billion)
MARKET SIZE 2035119.51(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)14.31% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Billion
Key Companies ProfiledMarket analysis in progress
Segments CoveredMarket segmentation analysis in progress
Key Market OpportunitiesIntegration of advanced machine learning algorithms enhances customization in the AI Builder Market.
Key Market DynamicsRising demand for automated solutions drives innovation and competition in the AI Builder Market.
Countries CoveredNorth America, Europe, APAC, South America, MEA

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FAQs

What is the current valuation of the AI Builder Market as of 2024?

The AI Builder Market was valued at 27.44 USD Billion in 2024.

What is the projected market size for the AI Builder Market in 2035?

The market is projected to reach 119.51 USD Billion by 2035.

What is the expected CAGR for the AI Builder Market during the forecast period 2025 - 2035?

The expected CAGR for the AI Builder Market during 2025 - 2035 is 14.31%.

Which application segment is anticipated to grow the most in the AI Builder Market?

The Robotics application segment is expected to grow from 8.0 USD Billion in 2024 to 36.0 USD Billion by 2035.

How does the deployment model of cloud-based solutions compare to on-premises solutions in the AI Builder Market?

Cloud-Based solutions are projected to increase from 10.0 USD Billion in 2024 to 45.0 USD Billion by 2035, surpassing On-Premises solutions.

What are the key components driving the AI Builder Market?

Solutions and Services are the key components, with Solutions expected to grow from 15.0 USD Billion in 2024 to 66.0 USD Billion by 2035.

Which end-user segment is likely to see the highest growth in the AI Builder Market?

The Manufacturing end-user segment is anticipated to grow from 9.44 USD Billion in 2024 to 42.51 USD Billion by 2035.

Who are the leading players in the AI Builder Market?

Key players include Microsoft, Google, IBM, Amazon, Salesforce, SAP, Oracle, NVIDIA, and C3.ai.

What is the projected growth for the Natural Language Processing segment in the AI Builder Market?

The Natural Language Processing segment is expected to grow from 5.0 USD Billion in 2024 to 23.0 USD Billion by 2035.

How does the AI Builder Market's growth compare across different segments?

The market shows varied growth, with Computer Vision projected to rise from 7.0 USD Billion in 2024 to 32.0 USD Billion by 2035.

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