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Global Software Development Artificial Intelligence (AI) Market – Industry Trends and Forecast to 2029

  • ICT
  • Upcoming Report
  • Mar 2022
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends and Forecast to 2029

Software Development Artificial Intelligence (AI) Market

Market Analysis and Insights Global Software Development Artificial Intelligence (AI) Market

Data Bridge Market Research analyses that the software development artificial intelligence (AI) market will exhibit a CAGR of 42.80% for the forecast period of 2022-2029.

Artificial intelligence (AI) software can be programmed to behave intelligently. It also includes the simulation of human intelligence in computers that are programmed to think and act like humans. The concept can also be applied to any device that demonstrates human-like characteristics like learning and problem-solving.

The software development artificial intelligence (AI) market is being driven by the rising number of digitally connected customers. The upsurge in the growth of big data is a major factor driving the market's growth. The rising adoption of deep learning and NLP technologies in finance and increasing attention in artificial intelligence are driving up demand for software development artificial intelligence (AI) market. Other significant factors such as growing urbanization and increasing level of disposable income will cushion the growth rate of software development artificial intelligence (AI) market. Another vital factor includes the growing use of artificial intelligence in customer relationship management (CRM) will accelerate the growth of software development artificial intelligence (AI) market. Furthermore, rising need to achieve robotic autonomy and growth of e-commerce platform will influence the software development artificial intelligence (AI) market for the forecast period mentioned above.  

Moreover, rise in the growth of ethical AI development and increasing number of government initiatives for AI technology will boost the beneficial opportunities for the software development artificial intelligence (AI) market growth. Increasing internet penetration and emerging new market are expected to create new opportunities for the software development artificial intelligence (AI) market in the future years.

However, high cost associated with manufacturing and maintenance will hinder the growth of the software development artificial intelligence (AI) market. Also, the dearth of skilled professionals and lack of awareness will further pose challenges to the market. Other factors including the lack of quality tools and emergence of unfavourable conditions due to COVID-19 will act as market restrain and will further obstruct the growth rate of software development artificial intelligence (AI) market.

This software development artificial intelligence (AI) market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on software development artificial intelligence (AI) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Software Development Artificial Intelligence (AI) Market Scope and Market Size

The software development artificial intelligence (AI) market is segmented on the basis of programming language, development phases, approaches, and application. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

  • On the basis of programming language, the software development artificial intelligence (AI) market is segmented into python, R, lisp, prolog, java, and others.
  • On the basis of approaches, the software development artificial intelligence (AI) market is segmented into natural language processing techniques, neural networks, fuzzy logic, ant colony optimization (ACO), general algorithm, tabu search, bee colony, data mining, and others.
  • On the basis of development phases, the software development artificial intelligence (AI) market is segmented into planning, knowledge acquisition and analysis, and system evaluation.
  • On the basis of application, the software development artificial intelligence (AI) market is segmented into expert system, project management, and others.

Software Development Artificial Intelligence (AI) Market Country Level Analysis

The software development artificial intelligence (AI) market is analysed and market size, volume information is provided by country, programming language, development phases, approaches, and application as referenced above.

The countries covered in the software development artificial intelligence (AI) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the software development artificial intelligence (AI) market and will continue to flourish its trend of dominance due to proximity of essential corporations and high expenditure in artificial intelligence market in this region. Asia-Pacific is projected to observe significant amount of growth in the software development artificial intelligence (AI) market during the forecast period of 2022-2029 due to the rising adoption of deep learning and NLP technologies in marketing, agriculture, finance and law applications in the region.

The country section of the software development artificial intelligence (AI) market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Global Software Development Artificial Intelligence (AI) Market Share Analysis

The software development artificial intelligence (AI) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to software development artificial intelligence (AI) market.

Some of the major players operating in the software development artificial intelligence (AI) market are 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, Inc., InData Labs, and OrCam, among others.

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Research Methodology:

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.

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FREQUENTLY ASK QUESTIONS

Software Development Artificial Intelligence Market to grow at a CAGR of 42.80% by forecast 2029.
North America region holds the largest share in the market.
The countries covered in the software development artificial intelligence (AI) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
Major players operating in the software development artificial intelligence (AI) market are 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, Inc., InData Labs, and OrCam.

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