No Code Artificial Intelligence (AI) Platform Global Market Report 2024 - By Report, Demand, Size, Share, Forecast To 2033

"The Business Research Company has recently revised its global market reports, now incorporating the most current data for 2024 along with projections extending up to 2033.

No Code Artificial Intelligence (AI) Platform Global Market Report 2024 by The Business Research Company offers comprehensive market insights, empowering businesses with a competitive edge. It includes detailed estimates for numerous segments and sub-segments, providing valuable strategic guidance.

The Market Size Is Expected To Reach $14.69 billion In 2028 At A CAGR Of 27.6% :
The no code artificial intelligence (AI) platform market size has grown exponentially in recent years. It will grow from $4.34 billion in 2023 to $5.55 billion in 2024 at a compound annual growth rate (CAGR) of 27.8%. The growth in the historic period can be attributed to skill gap mitigation, rapid prototyping and development, democratization of ai, cost-efficiency, agile business requirements.

The no code artificial intelligence (AI) platform market size is expected to see exponential growth in the next few years. It will grow to $14.69 billion in 2028 at a compound annual growth rate (CAGR) of 27.6%. The growth in the forecast period can be attributed to ai adoption in diverse industries, enhanced platform capabilities, vertical-specific solutions, integration with existing systems, governance and compliance features. Major trends in the forecast period include increased collaboration, democratization of ai, pre-built models and templates, integration with business applications, explainability and transparency.

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No Code Artificial Intelligence (AI) Platform Market Major Segments
The no code artificial intelligence (ai) platform market covered in this report is segmented -
1) By Component: No-code AI Platforms, Services
2) By Technology: Natural Language Processing, Computer Vision, Predictive Analytics, Other Technologies
3) By Deployment: Cloud, On-premises
4) By Enterprise Size: Small And Medium Enterprises (SMEs), Large Enterprises
5) By Vertical: Banking, Financial Services And Insurance, Healthcare, Retail And E-Commerce, Information Technology (IT) And Telecom, Energy And Utilities, Government And Public Sector, Other Verticals

Key Driver - Rising Cybersecurity Concerns Fueling Growth In The No-Code Artificial Intelligence (AI) Platform Market
The need for better cybersecurity is expected to propel the growth of the no-code artificial intelligence (AI) platform market going forward. Cybersecurity is the practice of protecting computer systems and networks from digital threats and unauthorized access. It involves measures to safeguard data, privacy and the integrity of digital infrastructure. No-code AI platforms are increasingly employed in cybersecurity, simplifying threat detection and response without requiring extensive coding skills and enhancing overall security measures. For instance, in November 2022, according to the Australian Cyber Security Center, an Australia-based government agency, the number of cybercrime reports received in 2022 was 76,000, up from 13% in 2021. Therefore, the need for better cybersecurity is driving the growth of the no-code artificial intelligence (AI) platform market.

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Prominent Trend - Focus On Integration Of SaaS (software as a service) Applications To Gain A Competitive Edge
Major companies operating in the no-code artificial intelligence (AI) platform market are focused on integrating SaaS (software as a service) applications to gain a competitive edge. Integration of SaaS applications can enhance the automation capabilities of no-code AI platforms, allowing for more efficient and effective workflows. This integration can unlock new possibilities and intelligence, accelerating the delivery of AI apps. For instance, in June 2023, Amazon Web Services Inc., a US-based provider of on-demand cloud computing platforms and APIs (application programming interfaces), launched AWS AppFabric, a new no-code service that quickly connects software-as-a-service (SaaS) applications with security tools. AppFabric allows IT and security teams to quickly connect SaaS applications without the need for custom code development or maintenance. The service automatically normalizes application data, enabling administrators to set common policies, standardize security alerts and easily manage user access across multiple applications.

No Code Artificial Intelligence (AI) Platform Market Players
Major companies operating in the no code artificial intelligence (AI) platform market report are Amazon.com Inc., Apple Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Hewlett Packard Enterprise, BioNTech SE, Medallia Inc., Quickbase Inc., DataRobot Inc., Dataiku Ltd., AgilePoint Inc., Caspio Inc. , Deci.AI Inc., Scale AI Inc., Clarifai Inc., Aible Inc., Aito Intelligence Oy, Akkio Inc., CrowdAI Inc., Intersect Labs, Levity AI GmbH, MLJAR Inc., Noogata Technologies Inc., Obviously AI Inc., Predibase Inc., Runway AI Inc., Studio Creatio, Coach Kinetix Ltd

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Largest And Fastest Growing Region In The Market
North America was the largest region in the no code artificial intelligence (AI) platform market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the no code artificial intelligence (AI) platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The Table Of Content For The Market Report Include:
1. Executive Summary
2. No Code Artificial Intelligence (AI) Platform Market Report Structure
3. No Code Artificial Intelligence (AI) Platform Market Trends And Strategies
4. No Code Artificial Intelligence (AI) Platform Market - Macro Economic Scenario
5. No Code Artificial Intelligence (AI) Platform Market Size And Growth
…..
27. No Code Artificial Intelligence (AI) Platform Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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