Global AI-Powered Design Tools Market Set to Achieve $15.06 Billion Milestone with Sustained 22.1% CAGR

The AI-powered design tools market size has grown exponentially in recent years. It will grow from $5.54 billion in 2024 to $6.77 billion in 2025 at a compound annual growth rate (CAGR) of 22.2%. The growth in the historic period can be attributed to increased adoption of automation, growing emphasis on user experience (UX) and user interface (UI) design, rising demand for personalization, accessibility and democratization of design, rise of e-commerce.

The AI-powered design tools market size is expected to see exponential growth in the next few years. It will grow to $15.06 billion in 2029 at a compound annual growth rate (CAGR) of 22.1%. The growth in the forecast period can be attributed to increased adoption across industries, rise of generative design, increased personalization demand, rapid prototyping and iterative design. Major trends in the forecast period include cloud-based solutions, integration with augmented reality (AR) and virtual reality (VR), integration of AI and human creativity, natural language processing (NLP) in design workflows.

The rise of digital channels is expected to propel the growth of the AI-powered design tools market going forward. Digital channels include the various online platforms and mediums through which communication, marketing, and distribution of content or services occur, such as social media and e-commerce. It arises because of increased Internet penetration, personalization and targeting, cost-effectiveness, integration and synergy, and cost-effectiveness. AI-powered design tools are used in digital channels to leverage artificial intelligence and machine learning algorithms to streamline design processes, enhance creativity, and improve efficiency. For instance, in February 2024, according to the United States Census Bureau, a US-based government agency, total e-commerce sales were estimated at $1,118.7 billion by 2023, which increased by 7.6% (±1.2%) from 2022, and e-commerce total sales increased by 15.4% in 2023 from 14.7% in 2022. Therefore, the rise of digital channels is driving the growth of the AI-powered design tools market.

The AI-powered design tools market covered in this report is segmented –

1) By Type: Graphic Design Tools, User Experience (UX) And User Interface (UI) Design Tools, Automated Content Creation Tools, Image And Video Processing Tools, 3D Design And Modeling Tools, Automated Layout And Formatting Tools, Branding And Logo Design Tools, Other Types

2) By Technology: Machine Learning, Natural Language Processing, Generative AI

3) By Application: Automotive And Transportation, Media And Entertainment, Education And Research, Fashion And Apparel, Architecture And Construction, E-commerce And Retail, Other Application

1) By Graphic Design Tools: Logo Design Tools, Social Media Graphics Tools, Print Design Tools, Digital Art Tools

2) By User Experience (UX) And User Interface (UI) Design Tools: Wireframing Tools, Prototyping Tools, UI Or UX Design Automation Tools, User Flow And Journey Mapping Tools

3) By Automated Content Creation Tools: Text Generation And Copywriting Tools, Blog And Article Creation Tools, AI-Powered Email Campaign Tools

4) By Image And Video Processing Tools: Image Editing And Enhancement Tools, AI-Based Video Editing Tools, Image Recognition And Analysis Tools, Visual Content Optimization Tools

5) By 3D Design And Modeling Tools: 3D CAD Tools, 3D Rendering Tools, AR Or VR Design Tools, 3D Animation Tools

6) By Automated Layout And Formatting Tools: Template-Based Layout Tools, Document Automation Tools, Print And Publication Layout Tools

7) By Branding And Logo Design Tools: Logo Generation Tools, Brand Identity And Design Tools, Customizable Branding Templates

8) By Other Types: AI-Powered Web Design Tools, Presentation Design Tools, Data Visualization Tools

Major companies operating in the AI-powered design tools market are Adobe Inc., Autodesk Inc., Canva Inc., Figma, Tailor Brands LLC, InVisionApp Inc., Corel Corporation, Design Pickle, Desygner Inc., Sketch Inc., Affinity Designer, BrandCrowd, Bannersnack, Crello, Looka, Design Wizard, Vecteezy, Designhill, Vectary, Snappa, PicMonkey, Lunacy, Vectr, Gravit Designer, Boxmode

Major companies operating in the AI-powered design tools market are focusing on developing innovative AI solutions, such as locofy lightning, to stay competitive and meet the evolving needs of their customers. Locofy Lightning is a software application that utilizes artificial intelligence and machine learning algorithms to automate converting visual design mockups or prototypes into functional HTML, CSS, and JavaScript code for web development. For instance, in January 2024, Locofy.ai, a Singapore-based tech company, launched locofy lightning. This AI-powered web design-to-code tool aims to streamline the process of converting figma designs into production-ready frontend code for websites and mobile apps. This tool, available as a figma plug-in, automates frontend development by generating high-quality, pixel-perfect code that is interactive, responsive, and component-based. Additionally, it features one-click conversion, pre-trained AI models, a design optimizer, and code components and props. These features aim to provide developers a seamless and efficient experience, allowing them to focus on more creative and strategic aspects of web development while automating converting designs into code.

North America was the largest region in the AI-powered design tools market in 2024. The regions covered in the AI-powered design tools market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The ai-powered design tools market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.

AI-powered design tools refer to software applications or platforms that utilize artificial intelligence (AI) algorithms and machine learning techniques to assist designers in various aspects of the design process by streamlining the design process, empowering designers with advanced capabilities, and ultimately enhancing the quality and efficiency of design outputs. These tools automate repetitive tasks, generate design suggestions, analyze data to inform design decisions, and even learn from user interactions to improve their functionality over time.

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