Software Development AI Market By Development Phases 2024 - IndustryARC
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Software Development AI Market
Software Development AI Market: By Development Phases (Planning, Knowledge Acquisition and Analysis, Code, Knowledge Verification, and System Evaluation); By Approach (Natural language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining); By Applications (Expert Systems, Project Management, and Others);By Geography - (2018-2024)
Report Code : ITR 0182
Updated Date: 27 June, 2018  

  • Report Description
  • Table of Contents
  • Customization Options
1. Software Development AI Market Overview
2. Executive Summary
3. Software Development AIMarket Landscape
   3.1. Market Share Analysis
   3.2. Comparative Analysis 
      3.2.1. Product Benchmarking
      3.2.2. End User profiling
      3.2.3. Patent Analysis
      3.2.4. Top 5 Financials Analysis
4. Software Development AIMarket Forces
   4.1. Market Drivers
   4.2. Market Constraints
   4.3. Market Challenges
   4.4. Attractiveness of the Industry
      4.4.1. Power of Suppliers
      4.4.2. Power of Customers
      4.4.3. Threat of New entrants
      4.4.4. Threat of Substitution
      4.4.5. Degree of Competition
5. Software Development AI– Strategic Analysis
   5.1. Value Chain Analysis
   5.2. Pricing Analysis (Software Subscription)
   5.3. Opportunities Analysis
   5.4. Product/Market Life Cycle Analysis
   5.5. Suppliers and Distributors
6. Software Development AI– Regulatory Analysis
7. Software Development AI Market - By Programming Languages
   7.1. Introduction
   7.2. Python
   7.3. R
   7.4. Lisp
   7.5. Prolog
   7.6. Java
   7.7. Others
8. Software Development AI Market - By Development Phases
   8.1. Introduction
   8.2. Planning
   8.3. Knowledge Acquisition and Analysis
   8.4. System Evaluation
9. Software Development AI Market - By Approaches
   9.1. Introduction
   9.2. Natural Language Processing Techniques
   9.3. Neural networks
   9.4. Fuzzy Logic
   9.5. Ant Colony Optimization (ACO)
   9.6. General Algorithm
   9.7. Tabu Search
   9.8. Bee Colony
   9.9. Data Mining
   9.10. Others
10. Software Development AI Market - By Applications
   10.1. Expert System
   10.2. Project Management
   10.3. Others
11. Software Development AIMarket - By Geography
   11.1. North America
      11.1.1. U.S.
      11.1.2. Canada
      11.1.3. Mexico
   11.2. South America
      11.2.1. Brazil
      11.2.2. Argentina
      11.2.3. Chile
      11.2.4. Rest of South America
   11.3. Europe
      11.3.1. U.K.
      11.3.2. Germany
      11.3.3. Italy
      11.3.4. France
      11.3.5. Nordic
      11.3.6. Russia
      11.3.7. Eastern Europe
      11.3.8. Switzerland
      11.3.9. Belgium
      11.3.10. Rest of Europe
   11.4. APAC
      11.4.1. Japan
      11.4.2. China
      11.4.3. India
      11.4.4. South Korea
      11.4.5. Taiwan
      11.4.6. Southeast Asia
      11.4.7. Australia
      11.4.8. New Zealand 
      11.4.9. Rest of APAC
   11.5. ROW
      11.5.1. Middle East
            11.5.1.1. Saudi Arabia 
            11.5.1.2. U.A.E
            11.5.1.3. Qatar
            11.5.1.4. Rest of Middle East
      11.5.2. Africa
            11.5.2.1. South Africa
            11.5.2.2. Nigeria
            11.5.2.3. Egypt
            11.5.2.4. Rest of Africa
12. Market Entropy
   12.1. New Product Launches
   12.2. M&As, Collaborations, JVs, Partnership
13. Company Profiles
   13.1. N-iX
   13.2. QBurst
   13.3. Intellectsoft
   13.4. Softserve
   13.5. RapidMiner
   13.6. KONUX
   13.7. AI Foundry
   13.8. Company 8
   13.9. Company 9
   13.10. Company 10   
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
14. Appendix
   14.1. Abbreviations
   14.2. Sources
   14.3. Research Methodology
   14.4. Bibliography
   14.5. Compilation of Expert Insights
   14.6. Disclaimer
The Software Development AI Market is estimated to reach $567.806million by 2024 growing at a CAGR of 23% from 2018 to 2024. Software Industry is growing mainly because of the implementing the innovative and useful technologies of artificial intelligence. Raising interests towards artificial intelligence like expert systems to solve the problems in the project and preparing the code very easier which is in understandable format is contributing the growth of the market of artificial intelligence in software development.

Artificial Intelligence in Software Industry have been growing in a rapid way with the improvement of AI technologies which were implementing in software industry during the forecast period. This market is increasing because of helping the software application developer and testers. Artificial intelligence in software development will reduce the efforts, time, and cost of the software application developer.

Artificial Intelligence Technologies is in growing stage and playing a very crucial and powerful role in most of the industries and particularly it became as an essential component of the software industry. Growing implementation of new AI technologies in software industry will contribute to the growth of adoption of AI into software development industry.

Machine Learning is the mostly used AI technique in the software development. In this process, there is no need to give any special computer rules to make decisions and take appropriate actions. The main important factor which is affecting the market is that reducing the efforts of developer in the software development. The steps which were included in the machine learning model development process are problems & goal definition, data collection, data preparation, model management, model deployment & integration, and model learning.

Artificial Intelligence is in high demand and attracting each industry to adopt it. AI is now starting to affect all the parts of the software development life cycle. Mainly, the developers are getting impacted of AI because of developed instruments which will assist them to make the code easier. This is considered as an important factor to contribute the growth of the market of artificial intelligence in software industry. 

By using artificial intelligence techniques in software development, firstly the quality of the project will be enhanced and can meet the client requirement easily. Next, they can develop a better applications with good functionalities which will attract the user to utilize it. By using AI, mostly the stress and the work of developer will be reduced and also reduces loss of employment as mostly all the work done by using AI. Finally, utilizing artificial intelligence in software development will be very helpful to enhance the most advanced and user interaction software.

What are the major applications for Software Development AI?
The various end users assessed include expert systems and project management. A broad range of asset tracking applications for creating expert systems which are currently being explored includes defining and identifying the issues, determining and offering the set of examples which are rising the market of the Artificial Intelligence in Software Development and estimated to have huge growth during the forecast period. The capital expenditure of major companies in the creating expert systems and project management has also escalated significantly since the last decade.



Market Research and Market Trends of Software Development AI
  • Artificial Intelligence technologies are implementing in many industries in 2017 by increasing new software companies which will use the AI technologies for project development. This is considered as an important factor which is boosting up the market of the software development AI.
  • Smart phones had started the usage artificial intelligence in a smart way by using different applications and also expected to have a huge growth during the forecast period.
  • Even Chatbots are also using artificial intelligence techniques and stood as a boosting to grow up the market. Bots will offer any time user support and also helping business in speaking with their customer support by using artificial intelligence technologies.
  • Artificial Intelligence is using in intelligent things which will be used to integrate the AI technologies in to software industry.
  • Mainly, by using the artificial intelligence in software industry, it will reduce the workforce like efforts put by the software application developers and also reduces the time wastage, and the cost of the project management.

Who are the Major Players in Software Development AI?
Some of the major companies included in the report are N-iX, QBurst, Intellectsoft, Softserve, RapidMiner, KONUX, and AI Foundry.

What is our report scope?
The report incorporates in-depth assessment of the competitive landscape, product market sizing, product benchmarking, market trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. Apart from this the report also includes a study of major developments in the market such as product launches, agreements, acquisitions, collaborations, mergers and so on to comprehend the prevailing market dynamics at present and its impact during the forecast period 2018-2024.

All our reports are customizable to your company needs to a certain extent, we do provide 20 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report to your needs.

Key Takeaways from this Report
  • Evaluate market potential through analyzing growth rates (CAGR %), and Value ($M) data given at country level – for development process, categories, programming language, development phases, approach, AI transforming ways, and geography.
  • Understand the different dynamics influencing the market – key driving factors, challenges and hidden opportunities.
  • Get in-depth insightson your competitor performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.
  • Analyze the sales and distribution channels across key geographies to improve top-line revenues.
  • Understand the industry supply chain with a deep-dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes. 
  • Get a quick outlook on the market entropy – Merger and Acquisition, deals, partnerships, product launches of all key players for the past 4 years. 
  • Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than 30countries globally for the market. 
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