Market Size – The software development AI market size has grown exponentially in recent years. It will grow from $0.36 billion in 2023 to $0.45 billion in 2024 at a compound annual growth rate (CAGR) of 24.1%. The growth in the historic period can be attributed to the increased demand for automation in software development processes, increased complexity of software development projects, cost savings and efficiency gains, and growth in focus on quality assurance.
The software development AI market size is expected to see exponential growth in the next few years. It will grow to $1.08 billion in 2028 at a compound annual growth rate (CAGR) of 24.3%. The growth in the forecast period can be attributed to the increasing adoption of DevOps practices, heightened concerns about cybersecurity and regulatory compliance, growing availability of skilled AI professionals, and rise in industry-specific solutions. Major trends in the forecast period include advancements in artificial intelligence (AI) technologies, advancements in AI algorithms, integration of AI technologies into various stages of the software development lifecycle (SDLC), proliferation of edge computing and IoT devices, integration of AI and analytics capabilities.
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Scope Of Software Development AI MarketThe Business Research Company’s reports encompass a wide range of information, including:
- Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
- Drivers: Examination of the key factors propelling market growth.
- Trends: Identification of emerging trends and patterns shaping the market landscape.
- Key Segments: Breakdown of the market into its primary segments and their respective performance.
- Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
- Macro Economic Factors: Assessment of broader economic elements impacting the market.
Software Development AI Market Overview
Market Drivers –The rise in the adoption of the Internet of Things (IoT) is expected to propel the growth of the software development AI market going forward. The Internet of Things (IoT) refers to the network of physical objects and other items embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet. The surge in the adoption of the Internet of Things (IoT) can be attributed to its ability to improve efficiency, enhance convenience, and enable data-driven decision-making across various industries. The Internet of Things (IoT) enhances software development by enabling real-time data collection and analysis, fostering smarter and more responsive applications. AI augments software development processes by automating tasks, optimizing algorithms, and enhancing decision-making capabilities, driving efficiency and innovation. For instance, in September 2023, according to a report published by Telefonaktiebolaget LM Ericsson, a Sweden-based telecommunications company, global IoT connections reached 15.7 billion connections in 2023 and are expected to increase by 16% to 38.9 billion connections by 2029. Therefore, the rise in the adoption of the Internet of Things (IoT) is driving the growth of the software development AI market.
Market Trends – Major companies operating in the software development AI market are focusing on developing innovative solutions, such as autonomous AI software developer, to gain a competitve edge in the market. An autonomous AI software developer is a software tool or system that leverages artificial intelligence (AI) and machine learning (ML) technologies to automate the process of creating, designing, or developing other AI-based software applications or solutions. For instance, in March 2024, Microsoft Corporation, a US-based technology company, launched AutoDev, an autonomous AI-driven software development framework integrating artificial intelligence (AI) into various tasks such as code generation, testing, and version control operations. It offers customizable prompts, automates test case generation, enhances code quality, and fosters collaboration among AI agents. AutoDev aims to streamline software development processes, ensure security through Docker container encapsulation, and achieve high success rates in automating software engineering tasks.
The software development ai market covered in this report is segmented –
1) By Programming Languages: Python, R, Lisp, Prolog, Java, Other Programming Languages
2) By Approaches: Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Other Approaches
3) By Development Phases: Planning, Knowledge Acquisition And Analysis, System Evaluation
4) By Application: Expert System, Project Management, Other Applications
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Regional Insights – North America was the largest region in the software development AI market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the software development ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies – Major companies operating in the software development ai market are Amazon.com Inc., Apple Inc., Alphabet Inc., Microsoft Corporation, Meta Platforms Inc., Intel Corporation, International Business Machines Corporation, SAP SE, NVIDIA Corporation, Salesforce.com Inc., Fair Isaac Corporation (FICO), SenseTime Group Limited, Appier Inc., Anki Inc., Talentica Solutions Pvt. Ltd, OrCam Technologies Ltd., LeewayHertz Technologies Pvt. Ltd., eSparkBiz Technologies Pvt. Ltd., Kindred Systems Inc., InData Labs LLC, AIBrain Inc., Markovate Inc., Azumo LLC, Nettyfy Technologies Pvt. Ltd.
Table of Contents
1. Executive Summary
2. Software Development AI Market Report Structure
3. Software Development AI Market Trends And Strategies
4. Software Development AI Market – Macro Economic Scenario
5. Software Development AI Market Size And Growth
…..
27. Software Development AI Market Competitor Landscape And Company Profiles28. Key Mergers And Acquisitions
28. Future Outlook and Potential Analysis
29. Appendix
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