The global AI in Software Development market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
AI in Software Development is a feature that guides users through the software development process using the expertise learned from millions of anonymized code patterns, recommending the correct tools and patterns for any situation to the developer. Its designed to increase focus and productivity by helping create logic flows faster and with more confidence, even for complex tasks.There are two main benefits to AI-Assisted development.The first is that it can make software development more accessible to those without coding skills or enhance the skills of existing developers to make them more efficient and productive.The second benefit is that AI can identify and enforce development best practice.
This report aims to provide a comprehensive presentation of the global market for AI in Software Development, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Software Development. This report contains market size and forecasts of AI in Software Development in global, including the following market information:
- Global AI in Software Development Market Revenue, 2018-2023, 2024-2032, ($ millions)
- Global top five companies in 2022 (%)
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Natural Language Processing Techniques Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of AI in Software Development include Salesforce, IBM, Alphabet Inc, Microsoft, Facebook, SAP SE, FICO, Govenda and Banjo Corporation, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the AI in Software Development companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI in Software Development Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global AI in Software Development Market Segment Percentages, by Type, 2022 (%)
- Natural Language Processing Techniques
- Neural Networks
- Fuzzy Logic
- Ant Colony Optimization (ACO)
- Genetic Algorithm
- Tabu Search
- Artificial Bee Colony
- Data Mining
- Others
Global AI in Software Development Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global AI in Software Development Market Segment Percentages, by Application, 2022 (%)
- Expert System
- Project Management
- Others
Global AI in Software Development Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global AI in Software Development Market Segment Percentages, By Region and Country, 2022 (%)
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
- Key companies AI in Software Development revenues in global market, 2018-2023 (estimated), ($ millions)
- Key companies AI in Software Development revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
- Salesforce
- IBM
- Alphabet Inc
- Microsoft
- Facebook
- SAP SE
- FICO
- Govenda
- Banjo Corporation
- Intel Corporation
- NVIDIA Corporation
- Anki
- AIBrain Inc
- Apple Inc
- Amazon
- Appier Inc
- SenseTime
- Kindred Group
- InData Labs
- Orcam, Inc
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI in Software Development, market overview.
Chapter 2: Global AI in Software Development market size in revenue.
Chapter 3: Detailed analysis of AI in Software Development company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of AI in Software Development in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
