[2030] Synthetic Data Software Market New Research Report Explores the Growing Market for Synthetic Data Software, Revealing Key Industry Trends and Future Growth Prospects

Pune, March 21, 2023 (GLOBE NEWSWIRE) -- *REPORT OVERVIEW:*

The global Synthetic Data Software market research report covers the analysis and insights in relation to the size and growth rate of the market by various segments for the 2019-2028 period, with 2019-2021 as the historical data, 2022 as the base year and 2023-2028 as the forecast period. The report provides a detailed overview of the market size, growth rate and distribution of the market by various segments (mainly covering product type, technology, applications and geography) for the entire study period.

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The quantitative insights in the report are complemented by the coverage of the underlying market drivers, restraints, opportunities and trends supporting the analysis of the market in the forecast period. The report covers a detailed competitive landscape section with information on the key players present in the market, market share analysis and comprehensive profiles of these major players.

The global Synthetic Data Software market research report also mainly covers information on the latest technological trends, recent industry developments (mergers, acquisitions and partnerships), impact of the pandemic on the market, regulatory overview, pricing analysis, supply chain analysis, Porter’s Five Forces analysis, etc. The report includes all major geographies (mainly covering North America, Europe, Asia Pacific, Latin America and Middle East & Africa) and key countries (mainly covering USA, Canada, UK, Germany, France, Italy, Spain, Japan, China, India, Australia, Brazil, Mexico, South Africa and UAE).

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*LATEST TRENDS:*

*Continuous Technological Innovations to Transform Market Outlook*

The Synthetic Data Software market is expected to be positively influenced by technological trends driven by increased R&D spending and growing focus on innovation by industry players resulting in novel breakthroughs. Significant opportunities in the forecast period will lead to new players entering the space and the market getting more competitive. Consumer expectations will continue to evolve, which will be met by new product launches with new features or lower price points as top companies focus on maintaining their leadership position and new players try to create a market presence.

*DRIVING FACTORS:*

*Upsurge in Demand from Key End-use Verticals to Accelerate Market Growth*

The Synthetic Data Software Market is projected to continue growing due to the surge in demand from major applications industries. Macroeconomic factors such as global economic expansion, rapid urbanization, growing middle class population and the increased spending capacity of consumers will drive the growth of key industries.

· The global economic output was over USD 100 trillion in 2022. The top 5 economies (USA, China, Japan, Germany and UK) accounted for around 58% of the global economic output in 2022.
· By 2030, middle class population is expected to increase to over 5.5 billion, accounting for over 65% of the global population.
· The global GDP per capita is projected to reach USD 13,920 in 2025, a 35% increase in the 2015-2025 period.

Industries are expanding their product portfolio or ramping up their existing manufacturing capacities to meet the growing demand for products and services among consumers. The rise of various end-use sectors would thus provide the market with a significant boost in the future.

*RESTRAINING FACTORS:*

*High Cost and a Bleak Economic Outlook Hamper Demand*

The Synthetic Data Software Market has been experiencing rapid demand and adoption across various key applications and end-use sectors in recent years. However, the global economy, which has struggled since the pandemic, is forecasted to grow at a slower rate due to the Russia-Ukraine war, rising inflation and growing interest rates. All these factors are making consumers vary of making purchases adversely impacting the manufacturing sector and the overall market potential.

High cost of products and availability of alternatives is a key factor limiting its demand and adoption in several regions as well.

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*COVID-19 IMPACT:*

COVID-19 affected nearly every industry vertical, including the global Synthetic Data Software market. Strict restrictions introduced by the respective governments to control the spread of the pandemic created several roadblocks for certain markets whereas the same factors provided a huge opportunity for others. Due to nationwide lockdowns in most countries, including restrictions on the movement of goods and people, the Synthetic Data Software market was impacted. The COVID-19 pandemic affected the market dynamics across both developed regions as well as emerging economies. Nearly all regions had enforced stringent lockdowns and other restrictions to curb coronavirus spread. However, post-pandemic, all economies have experienced a gradual recovery, pushing the market back on track.

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*Global Synthetic Data Software Market: Segmentation Analysis*

The research report includes specific segments by product type, technology, application and region (country). The report provides details on revenue during the historic and forecasted period. Understanding the segments helps in identifying the importance of different factors that aid market growth.

*Synthetic Data Software Market Segmentation by Product Type:*

· Cloud-Based
· On-Premises

*Synthetic Data Software Market Segmentation by Application:*

· Government
· Retail and eCommerce
· Healthcare and Life Sciences
· BFSI
· Transportation and Logistics
· Telecom and IT
· Manufacturing
· Others

*REGIONAL INSIGHTS: * 

Geographically, the market is segmented into North America, Europe, Asia Pacific, South America, and the Middle East & Africa. Developed economies will continue to account for a larger proportion of the market but the growth in per capita income and economic growth will lead to a much stronger growth in developing economies. However, the threat of recession looms over the market as inflation continues to rise. The high degree of uncertainty around the ongoing recession could have a significant impact on the Synthetic Data Software market over the next few years.

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*The Key Players Listed in Synthetic Data Software Market Report are:*

The Synthetic Data Software Market report provides a detailed description of all the factors influencing the growth of these market players as well as their detailed profiles. The profiles include the general overview of the company, their product portfolio, financials (based on availability), SWOT analysis, recent developments and growth strategies. Some of the key players are as follows:

· AI.Reverie
· Deep Vision Data
· ANYVERSE
· CA Technologies
· DataGen
· GenRocket
· Hazy
· LexSet
· MDClone
· MOSTLY AI
· Neuromation
· Statice
· Synthesis AI
· Informatica
· Tonic
· Truata
· Ydata

*REPORT COVERAGE:*

The Synthetic Data Software Market report provides a detailed analysis of the market and focuses on key aspects such as leading companies, type, technology and application/end users. Besides this, it offers insights into the market trends, highlights key industry developments such as product launches, partnerships, mergers, and acquisitions and encompasses several factors that have contributed to the growth of the advanced market over recent years.

The report includes major growth drivers, restraining factors, opportunities, and potential challenges for the market. Comprehensive insights into regional developments are explained in detail along with the list of major market players as well as strategies adopted by them to stay ahead of the competition. The latest industry developments are listed in the report. The study also offers a detailed understanding of the recent COVID-19 pandemic on the Synthetic Data Software market. The ongoing recession and inflation as well as their impact on the market have been assessed in our latest research report. 

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*Detailed TOC of Global Synthetic Data Software Market Report 2023*

1 Report Overview
  1.1 Study Scope   1.2 Market Analysis by Type       1.2.1 Global Synthetic Data Software Market Size Growth Rate by Type: 2017 VS 2021 VS 2028       1.2.2 Cloud-Based       1.2.3 On-Premises   1.3 Market by Application       1.3.1 Global Synthetic Data Software Market Share by Application: 2017 VS 2021 VS 2028       1.3.2 Government       1.3.3 Retail and eCommerce       1.3.4 Healthcare and Life Sciences       1.3.5 BFSI       1.3.6 Transportation and Logistics       1.3.7 Telecom and IT       1.3.8 Manufacturing       1.3.9 Others   1.4 Study Objectives   1.5 Years Considered

2 Global Growth Trends
  2.1 Global Synthetic Data Software Market Perspective (2017-2028)   2.2 Synthetic Data Software Growth Trends by Region       2.2.1 Synthetic Data Software Market Size by Region: 2017 VS 2021 VS 2028       2.2.2 Synthetic Data Software Historic Market Size by Region (2017-2022)       2.2.3 Synthetic Data Software Forecasted Market Size by Region (2023-2028)   2.3 Synthetic Data Software Market Dynamics       2.3.1 Synthetic Data Software Industry Trends       2.3.2 Synthetic Data Software Market Drivers       2.3.3 Synthetic Data Software Market Challenges       2.3.4 Synthetic Data Software Market Restraints

3 Competition Landscape by Key Players
  3.1 Global Top Synthetic Data Software Players by Revenue       3.1.1 Global Top Synthetic Data Software Players by Revenue (2017-2022)       3.1.2 Global Synthetic Data Software Revenue Market Share by Players (2017-2022)   3.2 Global Synthetic Data Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)   3.3 Players Covered: Ranking by Synthetic Data Software Revenue   3.4 Global Synthetic Data Software Market Concentration Ratio       3.4.1 Global Synthetic Data Software Market Concentration Ratio (CR5 and HHI)       3.4.2 Global Top 10 and Top 5 Companies by Synthetic Data Software Revenue in 2021   3.5 Synthetic Data Software Key Players Head office and Area Served   3.6 Key Players Synthetic Data Software Product Solution and Service   3.7 Date of Enter into Synthetic Data Software Market   3.8 Mergers & Acquisitions, Expansion Plans

4 Synthetic Data Software Breakdown Data by Type
  4.1 Global Synthetic Data Software Historic Market Size by Type (2017-2022)   4.2 Global Synthetic Data Software Forecasted Market Size by Type (2023-2028)

5 Synthetic Data Software Breakdown Data by Application
  5.1 Global Synthetic Data Software Historic Market Size by Application (2017-2022)   5.2 Global Synthetic Data Software Forecasted Market Size by Application (2023-2028)

*..........Continued*

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