Synthetic Data Generation Market by Offering (Solution/Platform and Services), Data Type (Tabular, Text, Image, and Video), Application (AI/ML Training & Development, Test Data Management), Vertical and Region - Global Forecast to 2028

Abstract
The global synthetic data generation size is expected to grow from USD 0.3 billion in 2023 to USD 2.1 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 45.7% during the forecast period. The rising importance of data privacy and compliance regulations, such as GDPR and CCPA, drive organizations' need to handle personal data. Increasing investments in AI lead to new and more sophisticated synthetic data generation techniques driving the synthetic data generation market.

By data type, text data to segment to record a highest growth rate during the forecast period

By data type, the text data segment is expected to have the highest growth rate during the forecast period. The increasing demand for artificial intelligence (AI) and machine learning (ML) applications requires large amounts of data to train and develop models, further driving the text data segment.

Among applications, Test data management segment has the second-highest market share during the forecast period.

Under the applications segment, the Test data management segment is expected to have second the highest market share during the forecast period. The need for high-quality, diverse, and representative data for testing and validation purposes will drive the segment. Businesses can enhance the effectiveness and efficiency of their testing processes using synthetic data leading to improved product quality, faster time-to-market, and reduced costs associated with traditional test data management approaches.

Among regions, Asia Pacific to grow at the highest CAGR during the forecast period"

The synthetic data generation market in Asia is experiencing significant growth driven by rapid digital transformation, increasing data privacy regulations, growing adoption of AI and ML technologies, rising cybersecurity concerns, and a thriving startup ecosystem. Organizations in the region are leveraging synthetic data generation to address data-driven challenges, comply with regulations, enhance AI and ML model performance, strengthen cybersecurity measures, and drive innovation. With the region's focus on digitalization and the emerging need for data-driven solutions, Asia Pacific's synthetic data generation market is poised for continued expansion and opportunities.

The breakup of the profiles of the primary participants is given below:
•By Company: Tier 1 – 38%, Tier 2 – 50%, and Tier 3 – 12%
•By Designation: C-Level Executives – 35%, Directors– 40%, Others*–25%
•By Region: North America – 40%, Europe – 20%, APAC – 30%, and Middle East and Africa-5%, Latin America-5%

Note: Tier 1 companies have revenues over USD 10 billion; tier 2 companies' revenue ranges between USD 1 and 10 billion of the overall revenues; and tier 3 companies' revenue ranges between USD 500 million and USD 1 billion.
*Others include sales managers, marketing managers, and product managers. **Rest of World (RoW) includes MEA and Latin America.
Source: Industry Experts

This research study outlines the market potential, dynamics, and major vendors operating in the synthetic data generation market. Key and innovative vendors in synthetic data generation include Microsoft (US), Google (US), IBM (US), AWS (US), NVIDIA (US), OpenAI (US), Informatica (US), Broadcom (US), Sogeti (France), Mphasis (India), Databricks (US), MOSTLY AI (Austria), Tonic (US), MDClone (Israel) TCS (India), Hazy (UK), Synthesia (UK), Synthesized (UK), Facteus (US), Anyverse (Spain), Neurolabs (Scotland), Rendered.ai (US), Gretel (US), OneView (Israel), GenRocket (US), YData (US), CVEDIA (UK), Syntheticus (Switzerland), AnyLogic (US), Bifrost AI (US), Anonos (US). These vendors have adopted many organic and inorganic growth strategies, such as new product launches, partnerships, and collaborations, to expand their offerings and market shares in the synthetic data generation market.

Research Coverage
The synthetic data generation market is segmented into Offering (Solution/Platform and Services), Data Type (Tabular, Text, Image, and Video, Others), Application (AI/ML Training and Development, Test Data Management, Data analytics & visualization, Enterprise Data Sharing, Others), Vertical (Banking, Financial Services, and Insurance, Healthcare & Life sciences, Retail & E-commerce, Automotive & Transportation, Government & Defense, IT and ITeS, Manufacturing, Other Verticals) and Region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service and product launches; partnerships, agreements, collaborations; business expansions; and competitive landscape associated with the synthetic data generation market.

Reasons to Buy the Report
The report would help the market leaders and new entrants in the following ways:
•It comprehensively segments the synthetic data generation market and provides the closest approximations of the revenue numbers for the overall market and its subsegments across different regions.
•It would help stakeholders understand the pulse of the market and provide information on the key market drivers, restraints, challenges, and opportunities.
•It would help stakeholders understand their competitors better and gain more insights to enhance their positions in the market. The competitive landscape includes a competitor ecosystem, new service developments, partnerships, and mergers and acquisitions.

The report provides insights on the following pointers:
Analysis of key drivers (AI and Machine Learning adoption, increasing demand for data privacy and compliance, the rise in content creation), restraints (regulatory and ethical considerations, issues related to achieving quality data and realism), opportunities (increasing deployment of large language models, robust improvement in generative ML leading to human baseline performance), and challenges (lack of maturity in the market, AI costly investments, lack of skilled workforce) influencing the growth of the synthetic data generation. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in synthetic data generation. Market Development: Comprehensive information about lucrative markets – the report analyses the synthetic data generation market across varied regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the synthetic data generation market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Microsoft (US), Google (US), IBM (US), AWS (US), NVIDIA (US), OpenAI (US), Informatica (US), Broadcom (US), Sogeti (France), Mphasis (India), Databricks (US), MOSTLY AI (Austria), Tonic (US), MDClone (Israel) TCS (India), Hazy (UK), Synthesia (UK), Synthesized (UK), Facteus (US), Anyverse (Spain), Neurolabs (Scotland), Rendered.ai (US), Gretel (US), OneView (Israel), GenRocket (US), YData (US), CVEDIA (UK), Syntheticus (Switzerland), AnyLogic (US), Bifrost AI (US), Anonos (US).

Content
Table of Contents

1INTRODUCTION40
1.1STUDY OBJECTIVES40
1.2MARKET DEFINITION40
1.2.1INCLUSIONS & EXCLUSIONS41
1.3STUDY SCOPE42
1.3.1MARKET SEGMENTATION42
1.3.2REGIONS COVERED43
1.4YEARS CONSIDERED43
1.5CURRENCY CONSIDERED44
TABLE 1USD EXCHANGE RATE, 2019–202244
1.6STAKEHOLDERS44
2RESEARCH METHODOLOGY45
2.1RESEARCH DATA45
FIGURE 1RESEARCH DESIGN45
2.1.1SECONDARY DATA46
2.1.2PRIMARY DATA46
TABLE 2KEY PARTICIPANTS OF PRIMARY INTERVIEWS46
2.1.2.1Breakup of primary profiles47
2.1.2.2Key industry insights47
2.2DATA TRIANGULATION48
FIGURE 2DATA TRIANGULATION48
2.3MARKET SIZE ESTIMATION49
FIGURE 3SYNTHETIC DATA GENERATION MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES49
2.3.1TOP-DOWN APPROACH49
2.3.2BOTTOM-UP APPROACH50
FIGURE 4MARKET SIZE ESTIMATION METHODOLOGY, APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF SYNTHETIC DATA GENERATION MARKET50
FIGURE 5MARKET SIZE ESTIMATION METHODOLOGY, APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF SYNTHETIC DATA GENERATION MARKET51
FIGURE 6MARKET SIZE ESTIMATION METHODOLOGY, APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF SYNTHETIC DATA GENERATION MARKET52
FIGURE 7MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF SYNTHETIC DATA GENERATION THROUGH OVERALL MARKET SPENDING53
2.4MARKET FORECAST54
TABLE 3FACTOR ANALYSIS54
2.5RESEARCH ASSUMPTIONS55
2.6LIMITATIONS AND RISK ASSESSMENT56
2.7IMPACT OF RECESSION ON SYNTHETIC DATA GENERATION MARKET57
3EXECUTIVE SUMMARY58
FIGURE 8ASIA PACIFIC TO ACHIEVE HIGHEST GROWTH DURING FORECAST PERIOD59
4PREMIUM INSIGHTS60
4.1ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SYNTHETIC DATA GENERATION MARKET60
FIGURE 9INCREASING INVESTMENTS IN AI TO DRIVE MARKET GROWTH60
4.2SYNTHETIC DATA GENERATION MARKET: BY KEY VERTICAL & REGION60
FIGURE 10BFSI SEGMENT AND NORTH AMERICA TO ACCOUNT FOR SIGNIFICANT SHARE IN 202360
FIGURE 11SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER SHARE IN 202361
4.3SYNTHETIC DATA GENERATION MARKET, BY REGION61
FIGURE 12NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 202361
5MARKET OVERVIEW AND INDUSTRY TRENDS62
5.1INTRODUCTION62
5.2MARKET DYNAMICS62
FIGURE 13SYNTHETIC DATA GENERATION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES62
5.2.1DRIVERS63
5.2.1.1Rising adoption of AI and machine learning technologies63
5.2.1.2Increasing need for data privacy and compliance63
5.2.1.3Rise in investments in AI63
5.2.1.4Increase in content creation64
FIGURE 14SYNTHETIC DATA TO ACCOUNT FOR LARGER DATA VOLUME BY 203064
5.2.2RESTRAINTS64
5.2.2.1Regulatory and ethical considerations64
5.2.2.2Issues related to achieving quality data and realism64
5.2.3OPPORTUNITIES65
5.2.3.1Increasing deployment of large language models65
5.2.3.2Growing interest of enterprises in commercializing synthetic images65
5.2.3.3Robust advancements in machine learning and computing innovation65
5.2.4CHALLENGES66
5.2.4.1Market immaturity66
5.2.4.2Lack of skilled workforce66
5.2.4.3High costs associated with high-end generative models66
5.3ETHICS AND IMPLICATIONS OF SYNTHETIC DATA GENERATION67
5.3.1PRIVACY PROTECTION67
5.3.2FAIRNESS67
5.3.3DATA OWNERSHIP AND CONSENT67
5.3.4UNINTENDED CONSEQUENCES67
5.3.5ACCOUNTABILITY AND TRANSPARENCY67
5.3.6FAIR REPRESENTATION67
5.3.7REGULATORY COMPLIANCE67
5.4ADVENT OF SYNTHETIC DATA GENERATION68
5.5HISTORY OF SYNTHETIC DATA GENERATION69
FIGURE 15HISTORY OF SYNTHETIC DATA GENERATION69
5.6TIMELINE OF ADVANCEMENTS IN SYNTHETIC DATA GENERATION MARKET69
5.7ECOSYSTEM ANALYSIS71
FIGURE 16ECOSYSTEM ANALYSIS71
5.7.1SYNTHETIC DATA GENERATION TECHNOLOGY PROVIDERS71
5.7.2SYNTHETIC DATA GENERATION CLOUD PLATFORM PROVIDERS71
5.7.3SYNTHETIC DATA GENERATION CLOUD END USERS71
5.7.4SYNTHETIC DATA GENERATION CLOUD REGULATORS72
5.8SYNTHETIC DATA GENERATION TECHNIQUES AND METHODS BASED ON DATA TYPES72
5.8.1TABULAR72
5.8.1.1Rule-based Methods72
5.8.1.2Data Augmentation72
5.8.1.3Generative Adversarial Networks (GANs)73
5.8.1.4Variational Autoencoders (VAEs)73
5.8.1.5Bayesian Networks73
5.8.2TEXT73
5.8.2.1Markov Chains73
5.8.2.2Neural Networks (RNNs)73
5.8.2.3Transformer Models73
5.8.2.4Language Models73
5.8.2.5Variational Autoencoders73
5.8.3IMAGES AND VIDEOS74
5.8.3.1Generative Adversarial Networks (GANs)74
5.8.3.2Variational Autoencoders (VAEs)74
5.8.3.3Conditional GANs74
5.8.3.4Image and Video Synthesis with Neural Networks74
5.8.3.5Style Transfer and Data Augmentation74
5.8.4TIME SERIES & TRANSACTIONAL DATA74
5.8.4.1Autoregressive Integrated Moving Average (ARIMA)74
5.8.4.2Long Short-Term Memory (LSTM) Networks74
5.8.4.3Hidden Markov Models (HMMs)75
5.8.4.4Sequence Generative Adversarial Networks (SeqGANs)75
5.8.4.5Gaussian Mixture Models (GMMs)75
5.8.4.6Synthetic Oversampling and Undersampling75
5.9CASE STUDY ANALYSIS75
5.9.1CASE STUDY 1: MOSTLY AI HELPED RETAIL BANK SHORTEN DEVELOPMENT OF SPRINTS BY SEVERAL DAYS75
5.9.2CASE STUDY 2: SWEDISH GOVERNMENT INCORPORATED ARTIFICIAL INTELLIGENCE INTO DAILY OPERATIONS76
5.9.3CASE STUDY 3: EVERLYWELL GAINED 5X DEPLOYMENT VELOCITY WITH SUPPORT FROM TONIC API76
5.9.4CASE STUDY 4: VODAFONE ADOPTED HAZY SYNTHETIC DATA TO QUICKLY AND ACCURATELY PREDICT CHURN76
5.9.5CASE STUDY 5: SCALE AI HELPED KALEIDO AI’S ML TEAM TO IMPROVE MODEL PERFORMANCE ON BUSINESS-CRITICAL EDGE CASES77
5.10SUPPLY CHAIN ANALYSIS77
FIGURE 17SUPPLY CHAIN ANALYSIS77
5.11REGULATORY LANDSCAPE78
5.11.1REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS78
TABLE 4NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS78
TABLE 5EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS79
TABLE 6ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS79
TABLE 7MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS80
TABLE 8LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS80
5.11.2PAYMENT CARD INDUSTRY DATA SECURITY STANDARD81
5.11.3GRAMM-LEACH-BLILEY ACT81
5.11.4HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT81
5.11.5GENERAL DATA PROTECTION REGULATION82
5.11.6PERSONAL INFORMATION PROTECTION AND ELECTRONIC DOCUMENTS ACT82
5.11.7INFORMATION SECURITY TECHNOLOGY: PERSONAL INFORMATION SECURITY SPECIFICATION GB/T 35273-201783
5.11.8SECURE INDIA NATIONAL DIGITAL COMMUNICATIONS POLICY, 201883
5.11.9GENERAL DATA PROTECTION LAW83
5.11.10LAW NO 13 OF 2016 ON PROTECTING PERSONAL DATA84
5.11.11NIST SPECIAL PUBLICATION 800-144, GUIDELINES ON SECURITY AND PRIVACY IN PUBLIC CLOUD COMPUTING84
5.12PATENT ANALYSIS85
5.12.1METHODOLOGY85
5.12.2PATENT APPLICATIONS85
FIGURE 18NUMBER OF PATENTS GRANTED ANNUALLY, 2019–202285
5.12.3TOP 15 PATENT APPLICANTS IN LAST 10 YEARS86
FIGURE 19TOP 15 PATENT APPLICANTS IN LAST 10 YEARS86
5.12.4TOP 15 PATENT OWNERS IN LAST 10 YEARS86
FIGURE 20TOP 15 PATENT OWNERS IN LAST 10 YEARS86
5.13KEY CONFERENCES & EVENTS87
TABLE 9KEY CONFERENCES & EVENTS, 2023–202487
5.14PRICING ANALYSIS89
TABLE 10AVERAGE SELLING PRICE ANALYSIS89
5.15PORTER’S FIVE FORCES ANALYSIS90
TABLE 11IMPACT OF PORTER’S FORCES ON SYNTHETIC DATA GENERATION MARKET90
5.15.1THREAT FROM NEW ENTRANTS90
5.15.2THREAT FROM SUBSTITUTES90
5.15.3BARGAINING POWER OF SUPPLIERS91
5.15.4BARGAINING POWER OF BUYERS91
5.15.5INTENSITY OF COMPETITIVE RIVALRY91
5.16KEY STAKEHOLDERS AND BUYING CRITERIA91
5.16.1KEY STAKEHOLDERS IN BUYING PROCESS91
FIGURE 21INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS91
TABLE 12INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS92
5.16.2BUYING CRITERIA92
FIGURE 22KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS92
TABLE 13KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS92
5.17TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF SYNTHETIC DATA GENERATION MARKET93
FIGURE 23TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS93
5.17.1BUSINESS MODELS IN SYNTHETIC DATA GENERATION MARKET93
5.17.1.1Software licensing93
5.17.1.2Data-as-a-Service (DaaS)93
5.17.1.3Custom development93
5.17.1.4Consulting and professional services93
5.17.1.5Partnerships and collaborations94
5.17.1.6Data monetization94
5.17.1.7Integration with existing platforms94
5.17.1.8Research and development94
5.17.1.9Freemium model94
5.17.1.10Open source94
6SYNTHETIC DATA GENERATION MARKET, BY OFFERING95
6.1INTRODUCTION96
6.1.1OFFERINGS: SYNTHETIC DATA GENERATION MARKET DRIVERS96
FIGURE 24SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD96
TABLE 14SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)97
TABLE 15SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)97
6.2SOLUTIONS97
TABLE 16SOLUTIONS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)97
TABLE 17SOLUTIONS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)98
6.3SERVICES98
FIGURE 25MANAGED SERVICES SEGMENT TO REGISTER HIGHER GROWTH DURING FORECAST PERIOD98
TABLE 18SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)99
TABLE 19SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)99
TABLE 20SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2019–2022 (USD MILLION)99
TABLE 21SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2023–2028 (USD MILLION)99
6.3.1PROFESSIONAL SERVICES100
6.3.1.1Rising demand for specialized expertise in synthetic data generation to boost market growth100
FIGURE 26SYSTEM INTEGRATION AND IMPLEMENTATION SEGMENT TO ACHIEVE HIGHEST GROWTH DURING FORECAST PERIOD100
TABLE 22SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)100
TABLE 23SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)101
TABLE 24PROFESSIONAL SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)101
TABLE 25PROFESSIONAL SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)101
6.3.1.1.1Training and consulting101
TABLE 26TRAINING AND CONSULTING: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)102
TABLE 27TRAINING AND CONSULTING: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)102
6.3.1.1.2System integration and implementation102
TABLE 28SYSTEM INTEGRATION AND IMPLEMENTATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)103
TABLE 29SYSTEM INTEGRATION AND IMPLEMENTATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)103
6.3.1.1.3Support and maintenance103
TABLE 30SUPPORT AND MAINTENANCE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)104
TABLE 31SUPPORT AND MAINTENANCE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)104
6.3.2MANAGED SERVICES104
6.3.2.1Need for end-to-end management of synthetic data generation to drive market for managed services104
TABLE 32MANAGED SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)105
TABLE 33MANAGED SERVICES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)105
7SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE106
7.1INTRODUCTION107
7.1.1DATA TYPES: SYNTHETIC DATA GENERATION MARKET DRIVERS107
FIGURE 27TEXT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD107
TABLE 34SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)107
TABLE 35SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)108
7.2TABULAR108
7.2.1DEMAND FOR PRIVACY PRESERVATION TO DRIVE GENERATION OF TABULAR DATA108
TABLE 36TABULAR: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)108
TABLE 37TABULAR: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)109
7.3TEXT109
7.3.1NEED TO CREATE LABELED TRAINING DATASETS FOR NATURAL LANGUAGE PROCESSING TASKS TO DRIVE MARKET GROWTH109
TABLE 38TEXT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)109
TABLE 39TEXT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)110
7.4IMAGES AND VIDEOS110
7.4.1DEMAND FOR COMPUTER VISION TRAINING, IMAGE RECOGNITION, AND VIDEO ANALYSIS MODELS TO DRIVE MARKET GROWTH110
TABLE 40IMAGES AND VIDEOS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)110
TABLE 41IMAGES AND VIDEOS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)111
7.5OTHER DATA TYPES111
TABLE 42OTHER DATA TYPES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)111
TABLE 43OTHER DATA TYPES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)112
8SYNTHETIC DATA GENERATION MARKET, BY APPLICATION113
8.1INTRODUCTION114
8.1.1APPLICATIONS: SYNTHETIC DATA GENERATION MARKET DRIVERS114
FIGURE 28AI/ML TRAINING AND DEVELOPMENT SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2023114
TABLE 44SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)115
TABLE 45SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)115
8.2AI/ML TRAINING AND DEVELOPMENT115
8.2.1NEED FOR SCALABLE AND DIVERSE DATASETS FOR TRAINING MODELS TO DRIVE ADOPTION OF SYNTHETIC DATA GENERATION115
TABLE 46AI/ML TRAINING AND DEVELOPMENT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)116
TABLE 47AI/ML TRAINING AND DEVELOPMENT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)116
8.3TEST DATA MANAGEMENT116
8.3.1NEED TO ENHANCE EFFICIENCY OF SOFTWARE TESTING APPLICATIONS TO PROPEL SYNTHETIC DATA GENERATION MARKET116
TABLE 48TEST DATA MANAGEMENT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)117
TABLE 49TEST DATA MANAGEMENT: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)117
8.4DATA ANALYTICS AND VISUALIZATION117
8.4.1GROWING NEED TO SAFEGUARD DATA PRIVACY TO BOOST SYNTHETIC DATA GENERATION FOR DATA ANALYTICS AND VISUALIZATION117
TABLE 50DATA ANALYTICS AND VISUALIZATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)118
TABLE 51DATA ANALYTICS AND VISUALIZATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)118
8.5ENTERPRISE DATA SHARING118
8.5.1NEED TO LEVERAGE POWER OF SHARED DATA TO ENCOURAGE PLAYERS TO ADOPT ENTERPRISE DATA SHARING AND DETECTION118
TABLE 52ENTERPRISE DATA SHARING AND RETENTION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)119
TABLE 53ENTERPRISE DATA SHARING AND RETENTION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)119
8.6OTHER APPLICATIONS119
TABLE 54OTHER APPLICATIONS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)120
TABLE 55OTHER APPLICATIONS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)120
9SYNTHETIC DATA GENERATION MARKET, BY VERTICAL121
9.1INTRODUCTION122
9.1.1VERTICALS: SYNTHETIC DATA GENERATION MARKET DRIVERS122
FIGURE 29HEALTHCARE AND LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD123
TABLE 56SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)123
TABLE 57SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)124
9.2BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)124
9.2.1NEED FOR REGULATED LANDSCAPE WITH STRINGENT DATA PRIVACY REQUIREMENTS TO DRIVE MARKET GROWTH124
9.2.2BFSI: SYNTHETIC DATA GENERATION MARKET USE CASES124
TABLE 58BFSI: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)125
TABLE 59BFSI: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)125
9.3HEALTHCARE AND LIFE SCIENCES125
9.3.1DEMAND FOR PRIVACY IN HEALTHCARE SECTOR TO BOOST ADOPTION OF SYNTHETIC DATA GENERATION125
9.3.2HEALTHCARE AND LIFE SCIENCES: SYNTHETIC DATA GENERATION MARKET USE CASES126
TABLE 60HEALTHCARE AND LIFE SCIENCES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)126
TABLE 61HEALTHCARE AND LIFE SCIENCES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)127
9.4RETAIL AND E-COMMERCE127
9.4.1SYNTHETIC DATA GENERATION TO ENABLE RETAIL AND E-COMMERCE COMPANIES TO CREATE REPRESENTATIVE DATASETS127
9.4.2RETAIL AND E-COMMERCE: SYNTHETIC DATA GENERATION MARKET USE CASES127
TABLE 62RETAIL AND E-COMMERCE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)128
TABLE 63RETAIL AND E-COMMERCE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)128
9.5AUTOMOTIVE AND TRANSPORTATION129
9.5.1DEMAND FOR OPTIMIZED VEHICLE PERFORMANCE TO PROPEL ADOPTION OF SYNTHETIC DATA GENERATION129
9.5.2AUTOMOTIVE AND TRANSPORTATION: SYNTHETIC DATA GENERATION MARKET USE CASES129
TABLE 64AUTOMOTIVE AND TRANSPORTATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)130
TABLE 65AUTOMOTIVE AND TRANSPORTATION: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)130
9.6GOVERNMENT AND DEFENSE130
9.6.1RISING NEED TO PROTECT SENSITIVE INFORMATION TO DRIVE USE OF SYNTHETIC DATA GENERATION IN GOVERNMENT AND DEFENSE SEGMENT130
9.6.2GOVERNMENT AND DEFENSE: SYNTHETIC DATA GENERATION MARKET USE CASES131
TABLE 66GOVERNMENT AND DEFENSE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)131
TABLE 67GOVERNMENT AND DEFENSE: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)132
9.7IT AND ITES132
9.7.1NEED FOR DATA PRIVACY AND SECURITY IN IT AND ITES SECTOR TO ENABLE PLAYERS TO UNDERSTAND VALUE OF SYNTHETIC DATA GENERATION132
9.7.2IT AND ITES: SYNTHETIC DATA GENERATION MARKET USE CASES132
TABLE 68IT AND ITES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)133
TABLE 69IT AND ITES: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)133
9.8MANUFACTURING134
9.8.1GROWING NEED TO IMPROVE PRODUCT DESIGN AND OPTIMIZATION TO PROPEL SYNTHETIC DATA GENERATION MARKET GROWTH134
9.8.2MANUFACTURING: SYNTHETIC DATA GENERATION MARKET USE CASES134
TABLE 70MANUFACTURING: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)135
TABLE 71MANUFACTURING: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)135
9.9OTHER VERTICALS135
TABLE 72OTHER VERTICALS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)136
TABLE 73OTHER VERTICALS: SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)136
10SYNTHETIC DATA GENERATION MARKET, BY REGION137
10.1INTRODUCTION138
FIGURE 30ASIA PACIFIC TO REGISTER HIGHEST GROWTH DURING FORECAST PERIOD138
TABLE 74SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)138
TABLE 75SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)139
10.2NORTH AMERICA139
10.2.1NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET DRIVERS139
10.2.2NORTH AMERICA: RECESSION IMPACT140
FIGURE 31NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET SNAPSHOT140
TABLE 76NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)141
TABLE 77NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)141
TABLE 78NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)141
TABLE 79NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)141
TABLE 80NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2019–2022 (USD MILLION)142
TABLE 81NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2023–2028 (USD MILLION)142
TABLE 82NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)142
TABLE 83NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)142
TABLE 84NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)143
TABLE 85NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)143
TABLE 86NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)143
TABLE 87NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)144
TABLE 88NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2019–2022 (USD MILLION)144
TABLE 89NORTH AMERICA: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2023–2028 (USD MILLION)144
10.2.3US145
10.2.3.1Technological advancements and widespread application of synthetic data generation to drive market145
TABLE 90US: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)145
TABLE 91US: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)145
10.2.4CANADA146
10.2.4.1Need to enhance productivity and improve customer satisfaction to drive market growth146
TABLE 92CANADA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)146
TABLE 93CANADA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)146
10.3EUROPE146
10.3.1EUROPE: SYNTHETIC DATA GENERATION MARKET DRIVERS147
10.3.2EUROPE: RECESSION IMPACT147
TABLE 94EUROPE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)148
TABLE 95EUROPE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)148
TABLE 96EUROPE: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)148
TABLE 97EUROPE: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)148
TABLE 98EUROPE: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2019–2022 (USD MILLION)149
TABLE 99EUROPE: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2023–2028 (USD MILLION)149
TABLE 100EUROPE: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)149
TABLE 101EUROPE: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)149
TABLE 102EUROPE: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)150
TABLE 103EUROPE: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)150
TABLE 104EUROPE: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)150
TABLE 105EUROPE: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)151
TABLE 106EUROPE: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2019–2022 (USD MILLION)151
TABLE 107EUROPE: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2023–2028 (USD MILLION)152
10.3.3UK152
10.3.3.1Government initiatives to drive demand for synthetic data generation152
TABLE 108UK: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)152
TABLE 109UK: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)152
10.3.4GERMANY153
10.3.4.1Surge in adoption of artificial intelligence to drive demand for synthetic data generation tools in research and development153
TABLE 110GERMANY: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)153
TABLE 111GERMANY: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)153
10.3.5FRANCE154
10.3.5.1Growing demand for research and educational excellence to drive demand for AI-enabled technologies154
TABLE 112FRANCE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)154
TABLE 113FRANCE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)154
10.3.6ITALY155
10.3.6.1Demand for deep learning model to perform source separation and music generation to drive market growth155
TABLE 114ITALY: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)155
TABLE 115ITALY: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)155
10.3.7SPAIN156
10.3.7.1Need to develop AI solutions and language models to drive market for synthetic data generation156
TABLE 116SPAIN: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)156
TABLE 117SPAIN: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)156
10.3.8FINLAND156
10.3.8.1Growing demand for AI applications in education sector to drive market growth156
10.3.9REST OF EUROPE157
TABLE 118REST OF EUROPE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)157
TABLE 119REST OF EUROPE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)157
10.4ASIA PACIFIC158
10.4.1ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET DRIVERS158
10.4.2ASIA PACIFIC: RECESSION IMPACT158
FIGURE 32ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET SNAPSHOT159
TABLE 120ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)159
TABLE 121ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)160
TABLE 122ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)160
TABLE 123ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)160
TABLE 124ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2019–2022 (USD MILLION)160
TABLE 125ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2023–2028 (USD MILLION)161
TABLE 126ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)161
TABLE 127ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)161
TABLE 128ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)161
TABLE 129ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)162
TABLE 130ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)162
TABLE 131ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)162
TABLE 132ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2019–2022 (USD MILLION)163
TABLE 133ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2023–2028 (USD MILLION)163
10.4.3CHINA163
10.4.3.1Growth in technology sector to boost popularity of synthetic data generation solutions163
TABLE 134CHINA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)164
TABLE 135CHINA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)164
10.4.4INDIA164
10.4.4.1Rise in digital transformation across industry verticals to drive market growth164
TABLE 136INDIA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)164
TABLE 137INDIA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)165
10.4.5JAPAN165
10.4.5.1Need to digitalize pharma industry to drive adoption of synthetic data generation solutions165
TABLE 138JAPAN: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)165
TABLE 139JAPAN: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)166
10.4.6SOUTH KOREA166
10.4.6.1Rise in initiatives by government to boost adoption of synthetic data generation tools166
TABLE 140SOUTH KOREA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)166
TABLE 141SOUTH KOREA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)166
10.4.7SINGAPORE167
10.4.7.1Steady progress made in AI advancements to drive market for synthetic data generation solutions167
TABLE 142SINGAPORE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)167
TABLE 143SINGAPORE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)167
10.4.8AUSTRALIA & NEW ZEALAND167
10.4.8.1Popularity of ChatGPT and large language models to propel popularity of synthetic data generation solutions167
TABLE 144AUSTRALIA & NEW ZEALAND: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)168
TABLE 145AUSTRALIA & NEW ZEALAND: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)168
10.4.9REST OF ASIA PACIFIC168
TABLE 146REST OF ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)169
TABLE 147REST OF ASIA PACIFIC: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)169
10.5MIDDLE EAST & AFRICA169
10.5.1MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET DRIVERS169
10.5.2MIDDLE EAST & AFRICA: RECESSION IMPACT170
TABLE 148MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)170
TABLE 149MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)170
TABLE 150MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)170
TABLE 151MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)171
TABLE 152MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2019–2022 (USD MILLION)171
TABLE 153MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY SERVICE, 2023–2028 (USD MILLION)171
TABLE 154MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)171
TABLE 155MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)172
TABLE 156MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)172
TABLE 157MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)172
TABLE 158MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)173
TABLE 159MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)173
TABLE 160MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2019–2022 (USD MILLION)174
TABLE 161MIDDLE EAST & AFRICA: SYNTHETIC DATA GENERATION MARKET, BY COUNTRY, 2023–2028 (USD MILLION)174
10.5.3SAUDI ARABIA174
10.5.3.1Major investments by tech giants to drive demand for synthetic data generation solutions174
TABLE 162SAUDI ARABIA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)175
TABLE 163SAUDI ARABIA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)175
10.5.4UAE175
10.5.4.1Adoption of trailblazing technologies for advanced education system to boost market growth175
TABLE 164UAE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)176
TABLE 165UAE: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)176
10.5.5SOUTH AFRICA176
10.5.5.1Demand for advancements in healthcare sector to drive market for synthetic data generation solutions176
TABLE 166SOUTH AFRICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)176
TABLE 167SOUTH AFRICA: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)177
10.5.6ISRAEL177
10.5.6.1Strong cluster of synthetic data generation and AI startups to lead to market growth177
TABLE 168ISRAEL: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)177
TABLE 169ISRAEL: SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)177
10.5.7REST OF MIDDLE EAST & AFRICA178